NSIDC User Services. proprietary
G02199_1 Dust Count Observations March 1933 - August 1933 in College-Fairbanks, AK, Version 1 NSIDCV0 STAC Catalog 1933-03-23 1933-08-29 -147.9, 64.8, -147.8, 64.9 https://cmr.earthdata.nasa.gov/search/concepts/C1386246287-NSIDCV0.umm_json "These data are daily dust count observations taken in College-Fairbanks, Alaska from 23 March 1933 to 29 August 1933. The data are part of a larger collection titled ""Second International Polar Year Records, 1931-1936, Department of Terrestrial Magnetism, Carnegie Institute of Washington."" Within this larger collection, the data are identified as ""Series 1: College-Fairbanks IPY Station Records and Data, 1932-1934: Subseries C: Auroral and Meteorological Records and Data, 1932-1933: Dust Count Observations, March 1933 - August 1933."" The data are provided in a PDF copy of the handwritten entries (Dust_Count_Observations_March1933_to_August1933.pdf). Two supporting files are also included in this data set. The first is a copy of the handwritten data transcribed to a Microsoft Excel spreadsheet (Dust_Count_Observations_March1933_to_August1933.xls). The second is a PDF document that explains the larger collection (DTM_Collection_Description.pdf). The entries were recorded using an Aitken Dust Counter. Each entry includes up to 10 counts per day with measurements of wind, clouds, and visibility. The handwritten copy has the most complete data, as some of the handwritten notes were not transcribed into the computer spreadsheet. For example, handwritten notes concerning problems with the counter itself were not transcribed into the computer spreadsheet. The data are available via FTP. NOAA@NSIDC believes these data to be of value but is unable to provide documentation. If you have information about this data set that others would find useful, please contact NSIDC User Services." proprietary
@@ -6324,8 +6326,8 @@ G18-ABI-L2P-ACSPO-v2.90_2.90 GHRSST L2P NOAA/ACSPO GOES-18/ABI West America Regi
G18-ABI-L3C-ACSPO-v2.90_2.90 GHRSST L3C NOAA/ACSPO GOES-18/ABI West America Region Sea Surface Temperature v2.90 dataset POCLOUD STAC Catalog 2022-06-07 163, -60, -77, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2731041317-POCLOUD.umm_json The G18-ABI-L3C-ACSPO-v2.90 dataset produced by the NOAA ACSPO system is used to derive Subskin and Depth Sea Surface Temperature (SST) from the ABI sensor onboard the G18 satellite. NOAA’s G18 (aka GOES-T before launch) was launched on March 1, 2022, replacing G17 as GOES West in Jan'2023. It is the third satellite in the US GOES–R Series, the Western Hemisphere’s most sophisticated weather-observing and environmental-monitoring system. The ABI is the primary instrument on the GOES-R Series for imaging Earth’s weather, oceans, and environment.
The G18-ABI-L3C-ACSPO-v2.90 dataset is a gridded version of the G18-ABI-L2P-ACSPO-v2.90 dataset (https://podaac.jpl.nasa.gov/dataset/G18-ABI-L2P-ACSPO-v2.90). The L3C (Level 3 Collated) outputs 24 hourly granules per day, with a daily volume of 0.7 GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST.
The ACSPO G18/ABI L3C product is validated against iQuam in situ data (Xu and Ignatov, 2014) and continuously monitored in the NOAA SQUAM system (Dash et al, 2010). The NRT files are replaced with Delayed Mode (DM) files, with a latency of ~2-months. File names remain unchanged, and DM vs NRT can be identified by different time stamps and global attributes inside the files (MERRA instead of GFS for atmospheric profiles, and same day CMC L4 analyses in DM instead of one-day delayed in NRT processing). proprietary
G5NR_1 GEOS-5 Nature Run data NCCS STAC Catalog 2005-05-15 2007-06-16 -180, 90, 179.9375, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1634215803-NCCS.umm_json This specific GEOS-5 model configuration used to perform a two-year global, non-hydrostatic mesoscale simulation for the period 2005-2007 at 7-km (3.5-km in the future) horizontal resolution. Because this simulation is intended to serve as a reference Nature Run for Observing System Simulation Experiments (OSSEs, e.g., Errico et al., 2012) it will be referred to as the 7-km GEOS-5 Nature Run or 7-km G5NR. This simulation has been performed with the Ganymed version of GEOS- 5, more specifically with CVS Tag wmp-Ganymed-4_0_BETA8. In addition to standard meteorological parameters (wind, temperature, moisture, surface pressure), this simulation includes 15 aerosol tracers (dust, sea-salt, sulfate, black and organic carbon), O3, CO and CO2. This model simulation is driven by prescribed sea-surface temperature and sea-ice, as well as surface emissions and uptake of aerosols and trace gases, including daily volcanic and biomass burning emissions, biogenic sources and sinks of CO2, and high-resolution inventories of anthropogenic sources.The simulation is performed at a horizontal resolution of 7 km using a cubed-sphere horizontal grid with 72 vertical levels, extending up to to 0.01 hPa (~ 80 km). For user convenience, all data products are generated on two logically rectangular longitude-latitude grids: a full-resolution 0.0625o grid that approximately matches the native cubed-sphere resolution, and another 0.5o reduced-resolution grid. The majority of the full-resolution data products are instantaneous with some fields being time-averaged. The reduced-resolution datasets are mostly time-averaged, with some fields being instantaneous. Hourly data intervals are used for the reduced-resolution datasets, while 30-minute intervals are used for the full-resolution products. All full-resolution output is on the model’s native 72-layer hybrid sigma-pressure vertical grid, while the reduced-resolution output is given on native vertical levels and on 48 pressure surfaces extending up to 0.02 hPa. Section 4 presents additional details on horizontal and vertical grids. proprietary
GAMSSA_28km-ABOM-L4-GLOB-v01_1.0 GHRSST Level 4 GAMSSA_28km Global Foundation Sea Surface Temperature Analysis v1.0 dataset (GDS2) POCLOUD STAC Catalog 2008-07-23 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036881735-POCLOUD.umm_json A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology (BoM) using optimal interpolation (OI) on a global 0.25 degree grid. This Global Australian Multi-Sensor SST Analysis (GAMSSA) v1.0 system blends satellite SST observations from passive infrared and passive microwave radiometers with in situ data from ships, drifting buoys and moorings from the Global Telecommunications System (GTS). SST observations that have experienced recent surface wind speeds less than 6 m/s during the day or less than 2 m/s during night are rejected from the analysis. The processing results in daily foundation SST estimates that are largely free of nocturnal cooling and diurnal warming effects. Sea ice concentrations are supplied by the NOAA/NCEP 12.7 km sea ice analysis. In the absence of observations, the analysis relaxes to the Reynolds and Smith (1994) Monthly 1 degree SST climatology for 1961 - 1990. proprietary
-GB-NERC-BAS-AEDC-00250 AFI 01/27_01 - Dyke intrusions as tracers of continental break-up processes - Rock samples collected in Dronning Maud Land in 2000/2001 ALL STAC Catalog 2000-09-01 2006-12-01 -5.5, -74, 1, -72 https://cmr.earthdata.nasa.gov/search/concepts/C1214594499-SCIOPS.umm_json The style and volume of magmatism varies between margins from large volume flood basalts such as the Parana or Deccan provinces to less volumetric margins such as the southern part of the South Atlantic. This CASE (Collaborative Awards in Science and Engineering) studentship was intended to provide support to study the evolution of the break-up of Africa and East Antarctica which occurred in the early Jurassic. An extended period of magmatism has been suggested for this margin associated with complex extensional tectonics. A combined geochronological / geochemical approach was used to understand the evolution of the crust and sub-continental lithospheric mantle during the break-up of one central portion of the Gondwana super continent. Igneous dykes and sills were collected in Dronning Maud Land during the field season 2000/01. The aim was to measure ages of volcanism during flood basalt events in Dronning Maud Land associated with the breakup of Gondwana. proprietary
GB-NERC-BAS-AEDC-00250 AFI 01/27_01 - Dyke intrusions as tracers of continental break-up processes - Rock samples collected in Dronning Maud Land in 2000/2001 SCIOPS STAC Catalog 2000-09-01 2006-12-01 -5.5, -74, 1, -72 https://cmr.earthdata.nasa.gov/search/concepts/C1214594499-SCIOPS.umm_json The style and volume of magmatism varies between margins from large volume flood basalts such as the Parana or Deccan provinces to less volumetric margins such as the southern part of the South Atlantic. This CASE (Collaborative Awards in Science and Engineering) studentship was intended to provide support to study the evolution of the break-up of Africa and East Antarctica which occurred in the early Jurassic. An extended period of magmatism has been suggested for this margin associated with complex extensional tectonics. A combined geochronological / geochemical approach was used to understand the evolution of the crust and sub-continental lithospheric mantle during the break-up of one central portion of the Gondwana super continent. Igneous dykes and sills were collected in Dronning Maud Land during the field season 2000/01. The aim was to measure ages of volcanism during flood basalt events in Dronning Maud Land associated with the breakup of Gondwana. proprietary
+GB-NERC-BAS-AEDC-00250 AFI 01/27_01 - Dyke intrusions as tracers of continental break-up processes - Rock samples collected in Dronning Maud Land in 2000/2001 ALL STAC Catalog 2000-09-01 2006-12-01 -5.5, -74, 1, -72 https://cmr.earthdata.nasa.gov/search/concepts/C1214594499-SCIOPS.umm_json The style and volume of magmatism varies between margins from large volume flood basalts such as the Parana or Deccan provinces to less volumetric margins such as the southern part of the South Atlantic. This CASE (Collaborative Awards in Science and Engineering) studentship was intended to provide support to study the evolution of the break-up of Africa and East Antarctica which occurred in the early Jurassic. An extended period of magmatism has been suggested for this margin associated with complex extensional tectonics. A combined geochronological / geochemical approach was used to understand the evolution of the crust and sub-continental lithospheric mantle during the break-up of one central portion of the Gondwana super continent. Igneous dykes and sills were collected in Dronning Maud Land during the field season 2000/01. The aim was to measure ages of volcanism during flood basalt events in Dronning Maud Land associated with the breakup of Gondwana. proprietary
GB-NERC-BAS-AEDC-00251 AFI 01/27_02 - Dyke intrusions as tracers of continental break-up processes - Ar-Ar dating, field data and selected geochemical analysis data of rock samples collected in Dronning Maud Land in 2000/2001 ALL STAC Catalog 2000-09-01 2006-12-01 -5.5, -74, 1, -72 https://cmr.earthdata.nasa.gov/search/concepts/C1214594540-SCIOPS.umm_json The style and volume of magmatism varies between margins from large volume flood basalts such as the Parana or Deccan provinces to less volumetric margins such as the southern part of the South Atlantic. This case (Collaborative Awards in Science and Engineering) studentship was intended to provide support to study the evolution of the break-up of Africa and East Antarctica which occurred in the early Jurassic. An extended period of magmatism has been suggested for this margin associated with complex extensional tectonics. A combined geochronological / geochemical approach was used to understand the evolution of the crust and sub-continental lithospheric mantle during the break-up of one central portion of the Gondwana super continent. Igneous dykes and sills were collected in Dronning Maud Land during the field season 2000/01. The aim was to measure ages of volcanism during flood basalt events in Dronning Maud Land associated with the breakup of Gondwana. proprietary
GB-NERC-BAS-AEDC-00251 AFI 01/27_02 - Dyke intrusions as tracers of continental break-up processes - Ar-Ar dating, field data and selected geochemical analysis data of rock samples collected in Dronning Maud Land in 2000/2001 SCIOPS STAC Catalog 2000-09-01 2006-12-01 -5.5, -74, 1, -72 https://cmr.earthdata.nasa.gov/search/concepts/C1214594540-SCIOPS.umm_json The style and volume of magmatism varies between margins from large volume flood basalts such as the Parana or Deccan provinces to less volumetric margins such as the southern part of the South Atlantic. This case (Collaborative Awards in Science and Engineering) studentship was intended to provide support to study the evolution of the break-up of Africa and East Antarctica which occurred in the early Jurassic. An extended period of magmatism has been suggested for this margin associated with complex extensional tectonics. A combined geochronological / geochemical approach was used to understand the evolution of the crust and sub-continental lithospheric mantle during the break-up of one central portion of the Gondwana super continent. Igneous dykes and sills were collected in Dronning Maud Land during the field season 2000/01. The aim was to measure ages of volcanism during flood basalt events in Dronning Maud Land associated with the breakup of Gondwana. proprietary
GB-NERC-BAS-AEDC-00260 AFI 02/30_01 - The status of dark septate fungi in Antarctic plant and soil communities - Fungal cultures, plant and soil samples (live and frozen) collected from the northern Antarctic Peninsula region in 2002/2003 ALL STAC Catalog 2002-01-01 2003-12-31 -68.35, -67.6, -36.48333, -54.28333 https://cmr.earthdata.nasa.gov/search/concepts/C1214594541-SCIOPS.umm_json Three plant species, the leafy liverwort Cephaloziella varians and the angiosperms Deschampsia antarctica and Colobanthus quitensis, were sampled from 12 islands across a 1480 km latitudinal gradient from South Georgia through to Adelaide Island. Samples were collected to determine the abundance of dark septate fungi in Antarctic plant and soil communities and the effects of these organisms on plant growth. Where the target species were found in sufficient numbers to allow sampling, it proved possible to collect at least 10 samples of each species. At least 10 soil samples were collected from each site where Deschampsia was found. Plants, with intact roots and soil, were transported back to the UK using cool and frozen stowage. Additionally, intact live plants were transported to the UK in an illuminated cabinet. Seeds of the two key species (Deschampsia antarctica and Colobanthus quitensis) were also collected at Bird Island and South Georgia. As the exact months of t he data collection were not provided, and the metadata standard requires a YYYY-MM-DD format, this dataset has been dated as 1st January for start date, and 31st December for stop date. proprietary
@@ -6336,66 +6338,66 @@ GB-NERC-BAS-AEDC-00272 AFI 04/17_02 - Glacial-interglacial changes in the lost d
GB-NERC-BAS-AEDC-00272 AFI 04/17_02 - Glacial-interglacial changes in the lost drainage basin on the West Antarctic Ice Sheet - Sediment cores collected in the Bellingshausen Sea, 2004 SCIOPS STAC Catalog 2004-01-23 2004-02-13 -90, -73, -76, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214594542-SCIOPS.umm_json The main aim of this project was to carry out the first systematic investigation of the former ice drainage basin in the southern Bellingshausen Sea, using sediment cores, swath bathymetry by means of the EM120 multibeam echo sounder and the TOPAS sub-bottom profiling system on RRS James Clark Ross (JR104). Reconnaissance data collected on previous cruises JR04 (1993) and cruises of R/V Polarstern in 1994 and 1995 suggested that this area contained the outlet of a very large ice drainage basin during late Quaternary glacial periods. The data and samples collected allowed us to address questions about the timing and rate of grounding line retreat from the continental shelf, the dynamic character of the ice that covered the shelf, and its influence on glaciomarine processes on the adjacent continental slope. proprietary
GB-NERC-BAS-AEDC-00273 AFI 04/17_01 - Glacial-interglacial changes in the lost drainage basin on the West Antarctic Ice Sheet - EM120 Swath Bathymetry and TOPAS sub-bottom profiler data, Bellingshausen Sea, 2004 ALL STAC Catalog 2004-01-23 2004-02-13 -90, -73, -76, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214594544-SCIOPS.umm_json The main aim of this project was to carry out the first systematic investigation of the former ice drainage basin in the southern Bellingshausen Sea, using sediment cores, swath bathymetry by means of the EM120 multibeam echo sounder and the TOPAS sub-bottom profiling system on RRS James Clark Ross (JR104). Reconnaissance data collected on previous cruises JR04 (1993) and cruises of R/V Polarstern in 1994 and 1995 suggested that this area contained the outlet of a very large ice drainage basin during late Quaternary glacial periods. The data and samples collected allowed us to address questions about the timing and rate of grounding line retreat from the continental shelf, the dynamic character of the ice that covered the shelf, and its influence on glaciomarine processes on the adjacent continental slope. proprietary
GB-NERC-BAS-AEDC-00273 AFI 04/17_01 - Glacial-interglacial changes in the lost drainage basin on the West Antarctic Ice Sheet - EM120 Swath Bathymetry and TOPAS sub-bottom profiler data, Bellingshausen Sea, 2004 SCIOPS STAC Catalog 2004-01-23 2004-02-13 -90, -73, -76, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214594544-SCIOPS.umm_json The main aim of this project was to carry out the first systematic investigation of the former ice drainage basin in the southern Bellingshausen Sea, using sediment cores, swath bathymetry by means of the EM120 multibeam echo sounder and the TOPAS sub-bottom profiling system on RRS James Clark Ross (JR104). Reconnaissance data collected on previous cruises JR04 (1993) and cruises of R/V Polarstern in 1994 and 1995 suggested that this area contained the outlet of a very large ice drainage basin during late Quaternary glacial periods. The data and samples collected allowed us to address questions about the timing and rate of grounding line retreat from the continental shelf, the dynamic character of the ice that covered the shelf, and its influence on glaciomarine processes on the adjacent continental slope. proprietary
-GB-NERC-BAS-AEDC-00276 AFI 02/36_02 - Geochemical Tracing of Pacific-to-Atlantic Mantle Flow through the Drake Passage/Scotia Sea Gateway - Rock samples collected by dredging in the Scotia Sea, February and March 2004 ALL STAC Catalog 2004-02-19 2004-03-03 -55, -58, -40, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214594545-SCIOPS.umm_json Sampling was undertaken within the West Scotia Sea in an attempt to identify the boundary between the Pacific and Bouvet mantle domains and so understand, quantify and document the flow of mantle - which is important for understanding global geodynamics The JR77 cruise aimed to acquire rock samples to constrain the history of the mantle beneath the Scotia Sea, from which the oceanic crust was derived by melting. Twenty days of rock dredging were conducted at fourteen sites in five main areas. Thirteen dredges were successful in recovering oceanic rocks of mixed sizes, up to and including very large boulders and dredge paths of up to 1 km were followed. The cruise also (remarkably) recovered fresh mantle peridotite nodules from the West Scotia Ridge, the first of its type - to our knowledge - from the world's ocean ridge system. proprietary
GB-NERC-BAS-AEDC-00276 AFI 02/36_02 - Geochemical Tracing of Pacific-to-Atlantic Mantle Flow through the Drake Passage/Scotia Sea Gateway - Rock samples collected by dredging in the Scotia Sea, February and March 2004 SCIOPS STAC Catalog 2004-02-19 2004-03-03 -55, -58, -40, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214594545-SCIOPS.umm_json Sampling was undertaken within the West Scotia Sea in an attempt to identify the boundary between the Pacific and Bouvet mantle domains and so understand, quantify and document the flow of mantle - which is important for understanding global geodynamics The JR77 cruise aimed to acquire rock samples to constrain the history of the mantle beneath the Scotia Sea, from which the oceanic crust was derived by melting. Twenty days of rock dredging were conducted at fourteen sites in five main areas. Thirteen dredges were successful in recovering oceanic rocks of mixed sizes, up to and including very large boulders and dredge paths of up to 1 km were followed. The cruise also (remarkably) recovered fresh mantle peridotite nodules from the West Scotia Ridge, the first of its type - to our knowledge - from the world's ocean ridge system. proprietary
-GB-NERC-BAS-AEDC-00277 AFI 02/36_01 - Geochemical Tracing of Pacific-to-Atlantic Mantle Flow through the Drake Passage/Scotia Sea Gateway - Dredge sampling information from the Scotia Sea collected in February and March 2004 ALL STAC Catalog 2004-02-19 2004-03-03 -55, -58, -40, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214594516-SCIOPS.umm_json The target area was along the eastern segments of the West Scotia Ridge, an ocean spreading centre which stopped spreading about 10 million years ago. The spreading centre has high topographic relief and contains an axial rift, which has flanks that are suitable for dredging. The plan was to map the spreading centre using the swath bathymetry system, and then to use this map to locate the best dredging sites. Thirteen dredges were successful in recovering oceanic rocks of mixed sizes, up to and including very large boulders and dredge paths of up to 1 km were followed. proprietary
+GB-NERC-BAS-AEDC-00276 AFI 02/36_02 - Geochemical Tracing of Pacific-to-Atlantic Mantle Flow through the Drake Passage/Scotia Sea Gateway - Rock samples collected by dredging in the Scotia Sea, February and March 2004 ALL STAC Catalog 2004-02-19 2004-03-03 -55, -58, -40, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214594545-SCIOPS.umm_json Sampling was undertaken within the West Scotia Sea in an attempt to identify the boundary between the Pacific and Bouvet mantle domains and so understand, quantify and document the flow of mantle - which is important for understanding global geodynamics The JR77 cruise aimed to acquire rock samples to constrain the history of the mantle beneath the Scotia Sea, from which the oceanic crust was derived by melting. Twenty days of rock dredging were conducted at fourteen sites in five main areas. Thirteen dredges were successful in recovering oceanic rocks of mixed sizes, up to and including very large boulders and dredge paths of up to 1 km were followed. The cruise also (remarkably) recovered fresh mantle peridotite nodules from the West Scotia Ridge, the first of its type - to our knowledge - from the world's ocean ridge system. proprietary
GB-NERC-BAS-AEDC-00277 AFI 02/36_01 - Geochemical Tracing of Pacific-to-Atlantic Mantle Flow through the Drake Passage/Scotia Sea Gateway - Dredge sampling information from the Scotia Sea collected in February and March 2004 SCIOPS STAC Catalog 2004-02-19 2004-03-03 -55, -58, -40, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214594516-SCIOPS.umm_json The target area was along the eastern segments of the West Scotia Ridge, an ocean spreading centre which stopped spreading about 10 million years ago. The spreading centre has high topographic relief and contains an axial rift, which has flanks that are suitable for dredging. The plan was to map the spreading centre using the swath bathymetry system, and then to use this map to locate the best dredging sites. Thirteen dredges were successful in recovering oceanic rocks of mixed sizes, up to and including very large boulders and dredge paths of up to 1 km were followed. proprietary
+GB-NERC-BAS-AEDC-00277 AFI 02/36_01 - Geochemical Tracing of Pacific-to-Atlantic Mantle Flow through the Drake Passage/Scotia Sea Gateway - Dredge sampling information from the Scotia Sea collected in February and March 2004 ALL STAC Catalog 2004-02-19 2004-03-03 -55, -58, -40, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214594516-SCIOPS.umm_json The target area was along the eastern segments of the West Scotia Ridge, an ocean spreading centre which stopped spreading about 10 million years ago. The spreading centre has high topographic relief and contains an axial rift, which has flanks that are suitable for dredging. The plan was to map the spreading centre using the swath bathymetry system, and then to use this map to locate the best dredging sites. Thirteen dredges were successful in recovering oceanic rocks of mixed sizes, up to and including very large boulders and dredge paths of up to 1 km were followed. proprietary
GB-NERC-BAS-AEDC-00278 AFI 02/36_03 - Geochemical Tracing of Pacific-to-Atlantic Mantle Flow through the Drake Passage/Scotia Sea Gateway - Swath Bathymetry conducted in the Scotia Sea, February and March 2004 SCIOPS STAC Catalog 2004-02-19 2004-03-03 -55, -58, -40, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214594517-SCIOPS.umm_json The target area was along the eastern segments of the West Scotia Ridge, an ocean spreading centre which stopped spreading about 10 million years ago. The spreading centre has high topographic relief and contains an axial rift, which has flanks that are suitable for dredging. The fieldwork involved mapping the spreading centre using swath bathymetry, and then using this information to locate the best dredging sites. This meant successfully imaging a significant area of hitherto unsurveyed oceanic crust and recovering rocks at 13 dredge sites. The new bathymetric maps add considerably to knowledge of the West Scotia Ridge. proprietary
GB-NERC-BAS-AEDC-00278 AFI 02/36_03 - Geochemical Tracing of Pacific-to-Atlantic Mantle Flow through the Drake Passage/Scotia Sea Gateway - Swath Bathymetry conducted in the Scotia Sea, February and March 2004 ALL STAC Catalog 2004-02-19 2004-03-03 -55, -58, -40, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214594517-SCIOPS.umm_json The target area was along the eastern segments of the West Scotia Ridge, an ocean spreading centre which stopped spreading about 10 million years ago. The spreading centre has high topographic relief and contains an axial rift, which has flanks that are suitable for dredging. The fieldwork involved mapping the spreading centre using swath bathymetry, and then using this information to locate the best dredging sites. This meant successfully imaging a significant area of hitherto unsurveyed oceanic crust and recovering rocks at 13 dredge sites. The new bathymetric maps add considerably to knowledge of the West Scotia Ridge. proprietary
GB-NERC-BAS-AEDC-00279 AFI 02/36_04 - Geochemical Tracing of Pacific-to-Atlantic Mantle Flow through the Drake Passage/Scotia Sea Gateway - Geochemical analysis of rock samples collected by dredging in the Scotia Sea, February and March 2004 ALL STAC Catalog 2001-10-01 2005-09-30 -55, -58, -40, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214594518-SCIOPS.umm_json The initial aim of this project was to carry out a higher resolution geochemical study of mantle flow using existing samples. This confirmed flow from the Bouvet domain into the East Scotia Sea and placed constraints on flow pathways. The second stage was to sample further within the West Scotia Sea and to use elemental and isotope (Sr, Nd, Pb, Hf) analyses to fingerprint mantle provenance. The results were used to locate and investigate the nature of the Pacific-South Atlantic mantle domain boundary and thus to contribute to the understanding and quantification of global upper mantle fluxes. proprietary
GB-NERC-BAS-AEDC-00279 AFI 02/36_04 - Geochemical Tracing of Pacific-to-Atlantic Mantle Flow through the Drake Passage/Scotia Sea Gateway - Geochemical analysis of rock samples collected by dredging in the Scotia Sea, February and March 2004 SCIOPS STAC Catalog 2001-10-01 2005-09-30 -55, -58, -40, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214594518-SCIOPS.umm_json The initial aim of this project was to carry out a higher resolution geochemical study of mantle flow using existing samples. This confirmed flow from the Bouvet domain into the East Scotia Sea and placed constraints on flow pathways. The second stage was to sample further within the West Scotia Sea and to use elemental and isotope (Sr, Nd, Pb, Hf) analyses to fingerprint mantle provenance. The results were used to locate and investigate the nature of the Pacific-South Atlantic mantle domain boundary and thus to contribute to the understanding and quantification of global upper mantle fluxes. proprietary
-GB-NERC-BAS-AEDC-00284 AFI 01/08 - Imaging the plasmasphere from Antarctica - VLF Doppler (Doppler Radio Receiver) at Rothera 2001-2002 ALL STAC Catalog 2001-12-01 2002-12-01 -68.1297, -67.5675, -68.1297, -67.5675 https://cmr.earthdata.nasa.gov/search/concepts/C1214594519-SCIOPS.umm_json New instrumentation was deployed in the Antarctic Peninsula region to monitor conditions occurring in the region of near-space surrounding the Earth. The opportunity was taken to link into a NASA satellite mission occurring at the same time and with similar goals - to study the dynamics of the Earth-Sun system at a location where the two systems are finely balanced. The experiments have been used to interpret the changes in plasma composition at the same point in space due to solar weather events. A refurbished VLF Doppler receiver was installed at Rothera to measure plasmaspheric electron concentration. The electron number density was determined from analysis of the 15 minute integration providing group delay times, Doppler shift and arrival bearing of whistler-mode signals, of man-made transmissions, from MSK format transmitters from north east America. If you would like more information about the VLF Doppler receiver data that is still being routinely collected a t Rothera please contact the Antarctic Environmental Data Centre (&AEDC&) at the British Antarctic Survey. proprietary
GB-NERC-BAS-AEDC-00284 AFI 01/08 - Imaging the plasmasphere from Antarctica - VLF Doppler (Doppler Radio Receiver) at Rothera 2001-2002 SCIOPS STAC Catalog 2001-12-01 2002-12-01 -68.1297, -67.5675, -68.1297, -67.5675 https://cmr.earthdata.nasa.gov/search/concepts/C1214594519-SCIOPS.umm_json New instrumentation was deployed in the Antarctic Peninsula region to monitor conditions occurring in the region of near-space surrounding the Earth. The opportunity was taken to link into a NASA satellite mission occurring at the same time and with similar goals - to study the dynamics of the Earth-Sun system at a location where the two systems are finely balanced. The experiments have been used to interpret the changes in plasma composition at the same point in space due to solar weather events. A refurbished VLF Doppler receiver was installed at Rothera to measure plasmaspheric electron concentration. The electron number density was determined from analysis of the 15 minute integration providing group delay times, Doppler shift and arrival bearing of whistler-mode signals, of man-made transmissions, from MSK format transmitters from north east America. If you would like more information about the VLF Doppler receiver data that is still being routinely collected a t Rothera please contact the Antarctic Environmental Data Centre (&AEDC&) at the British Antarctic Survey. proprietary
+GB-NERC-BAS-AEDC-00284 AFI 01/08 - Imaging the plasmasphere from Antarctica - VLF Doppler (Doppler Radio Receiver) at Rothera 2001-2002 ALL STAC Catalog 2001-12-01 2002-12-01 -68.1297, -67.5675, -68.1297, -67.5675 https://cmr.earthdata.nasa.gov/search/concepts/C1214594519-SCIOPS.umm_json New instrumentation was deployed in the Antarctic Peninsula region to monitor conditions occurring in the region of near-space surrounding the Earth. The opportunity was taken to link into a NASA satellite mission occurring at the same time and with similar goals - to study the dynamics of the Earth-Sun system at a location where the two systems are finely balanced. The experiments have been used to interpret the changes in plasma composition at the same point in space due to solar weather events. A refurbished VLF Doppler receiver was installed at Rothera to measure plasmaspheric electron concentration. The electron number density was determined from analysis of the 15 minute integration providing group delay times, Doppler shift and arrival bearing of whistler-mode signals, of man-made transmissions, from MSK format transmitters from north east America. If you would like more information about the VLF Doppler receiver data that is still being routinely collected a t Rothera please contact the Antarctic Environmental Data Centre (&AEDC&) at the British Antarctic Survey. proprietary
GB-NERC-BAS-AEDC-00289 AFI 02/48_02 - Ice-rafted debris on the Antarctic continental margin and dynamics of the Antarctic Ice Sheet - Vibro gravity cores, and sediments data collected from the Weddell Sea, Marguerite Bay, Feb - March 2002 SCIOPS STAC Catalog 2002-02-01 2002-03-01 -72, -68.5, -69, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214594547-SCIOPS.umm_json Ice-rafted (Heinrich) layers in the North Atlantic provide clear evidence that basins of large Quaternary ice sheets have, in the past, exhibited major dynamic instabilities. The presence of large ice sheets on the modern Antarctic continent provides an important opportunity to investigate the deposition of ice-rafted debris in a region where the dynamics of the parent drainage basins are known. The aim of the project was to reconstruct the Late Quaternary dynamics of the Antarctic Peninsula Ice Sheet in Marguerite Bay and to compare sedimentation and IRD records with the Larsen Ice Shelf area, on the other side of the Antarctic Peninsula. Two cruises were undertaken to collect the data. The JR71 (2002) cruise builds on the swath bathymetry and TOPAS survey undertaken on the JR59 (2001) cruise. Successful coring and examination of sediments now on and immediately beneath the sea floor, which provided the deforming bed of the former ice stream, enhanced our understanding of conditions beneath ice streams. proprietary
GB-NERC-BAS-AEDC-00289 AFI 02/48_02 - Ice-rafted debris on the Antarctic continental margin and dynamics of the Antarctic Ice Sheet - Vibro gravity cores, and sediments data collected from the Weddell Sea, Marguerite Bay, Feb - March 2002 ALL STAC Catalog 2002-02-01 2002-03-01 -72, -68.5, -69, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214594547-SCIOPS.umm_json Ice-rafted (Heinrich) layers in the North Atlantic provide clear evidence that basins of large Quaternary ice sheets have, in the past, exhibited major dynamic instabilities. The presence of large ice sheets on the modern Antarctic continent provides an important opportunity to investigate the deposition of ice-rafted debris in a region where the dynamics of the parent drainage basins are known. The aim of the project was to reconstruct the Late Quaternary dynamics of the Antarctic Peninsula Ice Sheet in Marguerite Bay and to compare sedimentation and IRD records with the Larsen Ice Shelf area, on the other side of the Antarctic Peninsula. Two cruises were undertaken to collect the data. The JR71 (2002) cruise builds on the swath bathymetry and TOPAS survey undertaken on the JR59 (2001) cruise. Successful coring and examination of sediments now on and immediately beneath the sea floor, which provided the deforming bed of the former ice stream, enhanced our understanding of conditions beneath ice streams. proprietary
GB-NERC-BAS-AEDC-00290 AFI 02/48_01 - Ice-rafted debris on the Antarctic continental margin and dynamics of the Antarctic Ice Sheet - Swath Bathymetry, EM120 and TOPAS data collected from the Weddell Sea and Marguerite Bay, Feb - March 2002 ALL STAC Catalog 2002-02-01 2002-03-01 -72, -68.5, -69, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214594548-SCIOPS.umm_json Ice-rafted (Heinrich) layers in the North Atlantic provide clear evidence that basins of large Quaternary ice sheets have, in the past, exhibited major dynamic instabilities. The presence of large ice sheets on the modern Antarctic continent provides an important opportunity to investigate the deposition of ice-rafted debris in a region where the dynamics of the parent drainage basins are known. The aim of the project was to reconstruct the Late Quaternary dynamics of the Antarctic Peninsula Ice Sheet in Marguerite Bay and to compare sedimentation and IRD records with the Larsen Ice Shelf area, on the other side of the Antarctic Peninsula. Two cruises were undertaken to collect the data. The JR71 (2002) cruise builds on the swath bathymetry and TOPAS survey undertaken on the JR59 (2001) cruise. The mapping of streamlined sedimentary bedforms on the outer shelf has allowed the dimensions of a former fast-flowing ice stream present at the Last Glacial Maximum to be defin ed. This, in turn, enabled estimates of the past magnitude of ice flow through this glacial system to be calculated. Data was collected using Kongsberg-Simrad EM120 multibeam swath bathymetry and a TOPAS sub-bottom profiler. EM120 data was processed using the Kongsberg-Simrad bathymetric processing package &NEPTUNE&. These ice flux estimates were compared with computer-model reconstructions of former ice-sheet dynamics as a robust test of model performance. proprietary
GB-NERC-BAS-AEDC-00290 AFI 02/48_01 - Ice-rafted debris on the Antarctic continental margin and dynamics of the Antarctic Ice Sheet - Swath Bathymetry, EM120 and TOPAS data collected from the Weddell Sea and Marguerite Bay, Feb - March 2002 SCIOPS STAC Catalog 2002-02-01 2002-03-01 -72, -68.5, -69, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214594548-SCIOPS.umm_json Ice-rafted (Heinrich) layers in the North Atlantic provide clear evidence that basins of large Quaternary ice sheets have, in the past, exhibited major dynamic instabilities. The presence of large ice sheets on the modern Antarctic continent provides an important opportunity to investigate the deposition of ice-rafted debris in a region where the dynamics of the parent drainage basins are known. The aim of the project was to reconstruct the Late Quaternary dynamics of the Antarctic Peninsula Ice Sheet in Marguerite Bay and to compare sedimentation and IRD records with the Larsen Ice Shelf area, on the other side of the Antarctic Peninsula. Two cruises were undertaken to collect the data. The JR71 (2002) cruise builds on the swath bathymetry and TOPAS survey undertaken on the JR59 (2001) cruise. The mapping of streamlined sedimentary bedforms on the outer shelf has allowed the dimensions of a former fast-flowing ice stream present at the Last Glacial Maximum to be defin ed. This, in turn, enabled estimates of the past magnitude of ice flow through this glacial system to be calculated. Data was collected using Kongsberg-Simrad EM120 multibeam swath bathymetry and a TOPAS sub-bottom profiler. EM120 data was processed using the Kongsberg-Simrad bathymetric processing package &NEPTUNE&. These ice flux estimates were compared with computer-model reconstructions of former ice-sheet dynamics as a robust test of model performance. proprietary
GB-NERC-BAS-AEDC-00293 AFI 04/09_01 - Improving ice-core interpretation - AWS data, Rothschild, Latady and Smyley Islands, 2005 SCIOPS STAC Catalog 2005-01-08 2006-02-11 -79, -73, -72.5, -69.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594528-SCIOPS.umm_json The project was concerned with understanding how air mass origin and meteorology affect the mass accumulation of snow in areas of the Antarctic Peninsula, and how the atmosphere''s properties are preserved in the snow. Three micro-power Automatic Weather Stations with two sonic ranging sensors were deployed at field-sites situated at Rothschild Island, Latady Island and Smyley Island in January 2005. The Automatic Weather Stations instruments included a wind vane and two humicaps on the mast and two sonic ranging sensors mounted on separate horizontal scaffold poles. proprietary
GB-NERC-BAS-AEDC-00293 AFI 04/09_01 - Improving ice-core interpretation - AWS data, Rothschild, Latady and Smyley Islands, 2005 ALL STAC Catalog 2005-01-08 2006-02-11 -79, -73, -72.5, -69.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594528-SCIOPS.umm_json The project was concerned with understanding how air mass origin and meteorology affect the mass accumulation of snow in areas of the Antarctic Peninsula, and how the atmosphere''s properties are preserved in the snow. Three micro-power Automatic Weather Stations with two sonic ranging sensors were deployed at field-sites situated at Rothschild Island, Latady Island and Smyley Island in January 2005. The Automatic Weather Stations instruments included a wind vane and two humicaps on the mast and two sonic ranging sensors mounted on separate horizontal scaffold poles. proprietary
-GB-NERC-BAS-AEDC-00294 AFI 04/09_02 - Improving ice-core interpretation - Analysis of Snow/Ice cores collected from Rothschild, Latady & Smyley Islands, 2006 SCIOPS STAC Catalog 2006-01-29 2006-02-11 -79, -73, -72.5, -69.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594549-SCIOPS.umm_json The project was concerned with understanding how air mass origin and meteorology affect the mass accumulation of snow in areas of the Antarctic Peninsula, and how the atmosphere''s properties are preserved in the snow. Ground truth measurements in the form of snow/ice cores were obtained in 2006 at three sites, Rothschild Island, Latady Island and Smyley Island, where Automatic Weather Stations had been deployed in the previous season. At both the Rothschild Island and Smyley Island sites the AWS, due to an unprecedented amount of snowfall, had been buried therefore two cores, 8m and 12m in length, were obtained from the approximate position of the AWS, in addition to the sampling of a snow pit. At the Latady Island site the top 60cm of the 5m AWS was protruding above the surface, again, due to an unprecedented amount of snowfall. A diagonally descending trench was dug to recover the AWS and two cores were collected at this site. Photographs of the expedition showing the ground layout, the situation of the cores and what was done when they were gathered are available and stored with the data. proprietary
GB-NERC-BAS-AEDC-00294 AFI 04/09_02 - Improving ice-core interpretation - Analysis of Snow/Ice cores collected from Rothschild, Latady & Smyley Islands, 2006 ALL STAC Catalog 2006-01-29 2006-02-11 -79, -73, -72.5, -69.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594549-SCIOPS.umm_json The project was concerned with understanding how air mass origin and meteorology affect the mass accumulation of snow in areas of the Antarctic Peninsula, and how the atmosphere''s properties are preserved in the snow. Ground truth measurements in the form of snow/ice cores were obtained in 2006 at three sites, Rothschild Island, Latady Island and Smyley Island, where Automatic Weather Stations had been deployed in the previous season. At both the Rothschild Island and Smyley Island sites the AWS, due to an unprecedented amount of snowfall, had been buried therefore two cores, 8m and 12m in length, were obtained from the approximate position of the AWS, in addition to the sampling of a snow pit. At the Latady Island site the top 60cm of the 5m AWS was protruding above the surface, again, due to an unprecedented amount of snowfall. A diagonally descending trench was dug to recover the AWS and two cores were collected at this site. Photographs of the expedition showing the ground layout, the situation of the cores and what was done when they were gathered are available and stored with the data. proprietary
-GB-NERC-BAS-AEDC-00296 AFI 04/16_01 - Satellite-Derived Elevation Changes on the Antarctic Peninsula CVaCS-DECAP - Glacier flow vertical motion measurements, Antarctic Peninsula, 2005/07 SCIOPS STAC Catalog 2005-12-01 2007-01-22 -84.25, -75.91667, -64.6667, -66.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594550-SCIOPS.umm_json Correction, Verification and Context, of Satellite-Derived Elevation Changes on the Antarctic Peninsula CVaCS-DECAP The aim of the project was to measure the various factors that affect altitude of snow surfaces in Antarctica, in order to validate data from satellite altimeters. In particular, it aimed for a better understanding of the factors affecting snowpack compaction rates, by accurate measurement of compaction over a period of several years. At four sites on the Antarctic Peninsula during the 2004-2005 austral summer ice cores were drilled to reveal the history of snowfall, and how the snow gets denser as it is crushed. Loggers designed to measure the compaction of snow were installed in boreholes, these sensors took a measurement every hour and are sensitive to downward movements of less than a millimetre. Automatic weather stations, sonic snow rangers and thermistor strings were also installed at each site, measuring the snow arriving at hourly intervals. A network of stakes was surveyed by GPS to provide horizontal strain rates, of the glacier, at each location. The flow away from the sites was compared with the snowfall from the ice cores to show up any imbalance. proprietary
+GB-NERC-BAS-AEDC-00294 AFI 04/09_02 - Improving ice-core interpretation - Analysis of Snow/Ice cores collected from Rothschild, Latady & Smyley Islands, 2006 SCIOPS STAC Catalog 2006-01-29 2006-02-11 -79, -73, -72.5, -69.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594549-SCIOPS.umm_json The project was concerned with understanding how air mass origin and meteorology affect the mass accumulation of snow in areas of the Antarctic Peninsula, and how the atmosphere''s properties are preserved in the snow. Ground truth measurements in the form of snow/ice cores were obtained in 2006 at three sites, Rothschild Island, Latady Island and Smyley Island, where Automatic Weather Stations had been deployed in the previous season. At both the Rothschild Island and Smyley Island sites the AWS, due to an unprecedented amount of snowfall, had been buried therefore two cores, 8m and 12m in length, were obtained from the approximate position of the AWS, in addition to the sampling of a snow pit. At the Latady Island site the top 60cm of the 5m AWS was protruding above the surface, again, due to an unprecedented amount of snowfall. A diagonally descending trench was dug to recover the AWS and two cores were collected at this site. Photographs of the expedition showing the ground layout, the situation of the cores and what was done when they were gathered are available and stored with the data. proprietary
GB-NERC-BAS-AEDC-00296 AFI 04/16_01 - Satellite-Derived Elevation Changes on the Antarctic Peninsula CVaCS-DECAP - Glacier flow vertical motion measurements, Antarctic Peninsula, 2005/07 ALL STAC Catalog 2005-12-01 2007-01-22 -84.25, -75.91667, -64.6667, -66.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594550-SCIOPS.umm_json Correction, Verification and Context, of Satellite-Derived Elevation Changes on the Antarctic Peninsula CVaCS-DECAP The aim of the project was to measure the various factors that affect altitude of snow surfaces in Antarctica, in order to validate data from satellite altimeters. In particular, it aimed for a better understanding of the factors affecting snowpack compaction rates, by accurate measurement of compaction over a period of several years. At four sites on the Antarctic Peninsula during the 2004-2005 austral summer ice cores were drilled to reveal the history of snowfall, and how the snow gets denser as it is crushed. Loggers designed to measure the compaction of snow were installed in boreholes, these sensors took a measurement every hour and are sensitive to downward movements of less than a millimetre. Automatic weather stations, sonic snow rangers and thermistor strings were also installed at each site, measuring the snow arriving at hourly intervals. A network of stakes was surveyed by GPS to provide horizontal strain rates, of the glacier, at each location. The flow away from the sites was compared with the snowfall from the ice cores to show up any imbalance. proprietary
+GB-NERC-BAS-AEDC-00296 AFI 04/16_01 - Satellite-Derived Elevation Changes on the Antarctic Peninsula CVaCS-DECAP - Glacier flow vertical motion measurements, Antarctic Peninsula, 2005/07 SCIOPS STAC Catalog 2005-12-01 2007-01-22 -84.25, -75.91667, -64.6667, -66.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594550-SCIOPS.umm_json Correction, Verification and Context, of Satellite-Derived Elevation Changes on the Antarctic Peninsula CVaCS-DECAP The aim of the project was to measure the various factors that affect altitude of snow surfaces in Antarctica, in order to validate data from satellite altimeters. In particular, it aimed for a better understanding of the factors affecting snowpack compaction rates, by accurate measurement of compaction over a period of several years. At four sites on the Antarctic Peninsula during the 2004-2005 austral summer ice cores were drilled to reveal the history of snowfall, and how the snow gets denser as it is crushed. Loggers designed to measure the compaction of snow were installed in boreholes, these sensors took a measurement every hour and are sensitive to downward movements of less than a millimetre. Automatic weather stations, sonic snow rangers and thermistor strings were also installed at each site, measuring the snow arriving at hourly intervals. A network of stakes was surveyed by GPS to provide horizontal strain rates, of the glacier, at each location. The flow away from the sites was compared with the snowfall from the ice cores to show up any imbalance. proprietary
GB-NERC-BAS-AEDC-00311 AFI 01/01_01 - Biodiversity response to climate change: biodiversity and climate significance of Tertiary forest communities of Antarctica - Fossil wood and leaves of Tertiary age, Seymour Island and adjacent, 2001 SCIOPS STAC Catalog 2001-01-01 2001-03-31 -56.75, -64.283, -56.75, -64.283 https://cmr.earthdata.nasa.gov/search/concepts/C1214594530-SCIOPS.umm_json During field work in 2001 over 1600 specimens were collected from four main fossil plant assemblages: the ''Nordenksjold flora'' from the Cross Valley Formation of Late Palaeocene age; and 3 floras from La Meseta Formation i) Flora2 from the Valle De Las Focas allomember, ~late Early Eocene, ii) Wiman Flora, Acantilados allomember, late Early/mid Eocene, iii) Cucullaea 1, Cuculleae 1 allomember Flora, early Late Eocene. In addition smaller collections of fossils from other parts of the La Meseta Formation were collected. The work concentrated on the Late Palaeocene and the Cuculleae 1 floras as these were the best preserved and had sufficient morphotypes for climate analysis. In the Late Palaeocene flora 36 angiosperm leaf morphotypes were identified, along with 2 pteridophytes (ferns), and podocarp and araucarian conifers. Discovery of several new leaf types indicates that the Tertiary floras from Antarctica were more diverse than previously thought. proprietary
GB-NERC-BAS-AEDC-00311 AFI 01/01_01 - Biodiversity response to climate change: biodiversity and climate significance of Tertiary forest communities of Antarctica - Fossil wood and leaves of Tertiary age, Seymour Island and adjacent, 2001 ALL STAC Catalog 2001-01-01 2001-03-31 -56.75, -64.283, -56.75, -64.283 https://cmr.earthdata.nasa.gov/search/concepts/C1214594530-SCIOPS.umm_json During field work in 2001 over 1600 specimens were collected from four main fossil plant assemblages: the ''Nordenksjold flora'' from the Cross Valley Formation of Late Palaeocene age; and 3 floras from La Meseta Formation i) Flora2 from the Valle De Las Focas allomember, ~late Early Eocene, ii) Wiman Flora, Acantilados allomember, late Early/mid Eocene, iii) Cucullaea 1, Cuculleae 1 allomember Flora, early Late Eocene. In addition smaller collections of fossils from other parts of the La Meseta Formation were collected. The work concentrated on the Late Palaeocene and the Cuculleae 1 floras as these were the best preserved and had sufficient morphotypes for climate analysis. In the Late Palaeocene flora 36 angiosperm leaf morphotypes were identified, along with 2 pteridophytes (ferns), and podocarp and araucarian conifers. Discovery of several new leaf types indicates that the Tertiary floras from Antarctica were more diverse than previously thought. proprietary
-GB-NERC-BAS-AEDC-00312 AFI 01/01_02 - Biodiversity response to climate change: biodiversity and climate significance of Tertiary forest communities of Antarctica - Analysis of fossil wood & leaves of Tertiary age, Seymour Island&adjacent, 2001 ALL STAC Catalog 2000-08-14 2003-02-13 -56.75, -64.283, -56.75, -64.283 https://cmr.earthdata.nasa.gov/search/concepts/C1214594531-SCIOPS.umm_json Fossils from Palaeogene strata on Seymour Island, Antarctic Peninsula, were studied to determine the nature of vegetation response to the fundamental change from greenhouse to icehouse climates in Antarctica. Palaeoclimate data was derived using CLAMP (Climate Leaf Analysis Multivariate Program) and several Leaf Margin Analysis (LMA) techniques based on the physiognomic properties of the leaves. Climate interpretation of the fossils produced new data on terrestrial climate change at high latitudes and were used to test and validate climate models, and to establish whether climate-induced changes in biodiversity occurred in a gradual or punctuated manner. proprietary
GB-NERC-BAS-AEDC-00312 AFI 01/01_02 - Biodiversity response to climate change: biodiversity and climate significance of Tertiary forest communities of Antarctica - Analysis of fossil wood & leaves of Tertiary age, Seymour Island&adjacent, 2001 SCIOPS STAC Catalog 2000-08-14 2003-02-13 -56.75, -64.283, -56.75, -64.283 https://cmr.earthdata.nasa.gov/search/concepts/C1214594531-SCIOPS.umm_json Fossils from Palaeogene strata on Seymour Island, Antarctic Peninsula, were studied to determine the nature of vegetation response to the fundamental change from greenhouse to icehouse climates in Antarctica. Palaeoclimate data was derived using CLAMP (Climate Leaf Analysis Multivariate Program) and several Leaf Margin Analysis (LMA) techniques based on the physiognomic properties of the leaves. Climate interpretation of the fossils produced new data on terrestrial climate change at high latitudes and were used to test and validate climate models, and to establish whether climate-induced changes in biodiversity occurred in a gradual or punctuated manner. proprietary
-GB-NERC-BAS-AEDC-00342 AFI 07/02_01 - Subglacial Lake Ellsworth - SEISMIC data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 2008-02-03 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594553-SCIOPS.umm_json Seismic reflection data acquired in the region of Subglacial Lake Ellsworth. Recording instrument: Geometrics Geode, 48 channels, active source (explosives). Five single-fold lines. Line length between 7.7 and 2.5 km. In addition, fold increased to 4 for the central part of one line (over the lake itself). Dataset also includes data from a single shallow seismic refraction experiment. proprietary
+GB-NERC-BAS-AEDC-00312 AFI 01/01_02 - Biodiversity response to climate change: biodiversity and climate significance of Tertiary forest communities of Antarctica - Analysis of fossil wood & leaves of Tertiary age, Seymour Island&adjacent, 2001 ALL STAC Catalog 2000-08-14 2003-02-13 -56.75, -64.283, -56.75, -64.283 https://cmr.earthdata.nasa.gov/search/concepts/C1214594531-SCIOPS.umm_json Fossils from Palaeogene strata on Seymour Island, Antarctic Peninsula, were studied to determine the nature of vegetation response to the fundamental change from greenhouse to icehouse climates in Antarctica. Palaeoclimate data was derived using CLAMP (Climate Leaf Analysis Multivariate Program) and several Leaf Margin Analysis (LMA) techniques based on the physiognomic properties of the leaves. Climate interpretation of the fossils produced new data on terrestrial climate change at high latitudes and were used to test and validate climate models, and to establish whether climate-induced changes in biodiversity occurred in a gradual or punctuated manner. proprietary
GB-NERC-BAS-AEDC-00342 AFI 07/02_01 - Subglacial Lake Ellsworth - SEISMIC data, Antarctica, 2007/08 SCIOPS STAC Catalog 2007-11-09 2008-02-03 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594553-SCIOPS.umm_json Seismic reflection data acquired in the region of Subglacial Lake Ellsworth. Recording instrument: Geometrics Geode, 48 channels, active source (explosives). Five single-fold lines. Line length between 7.7 and 2.5 km. In addition, fold increased to 4 for the central part of one line (over the lake itself). Dataset also includes data from a single shallow seismic refraction experiment. proprietary
+GB-NERC-BAS-AEDC-00342 AFI 07/02_01 - Subglacial Lake Ellsworth - SEISMIC data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 2008-02-03 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594553-SCIOPS.umm_json Seismic reflection data acquired in the region of Subglacial Lake Ellsworth. Recording instrument: Geometrics Geode, 48 channels, active source (explosives). Five single-fold lines. Line length between 7.7 and 2.5 km. In addition, fold increased to 4 for the central part of one line (over the lake itself). Dataset also includes data from a single shallow seismic refraction experiment. proprietary
GB-NERC-BAS-AEDC-00343 AFI 07/02_02 Subglacial Lake Ellsworth - GPS data, Antarctica, 2007/08 SCIOPS STAC Catalog 2007-11-09 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594535-SCIOPS.umm_json Geographical Positioning System (GPS) data recorded in the region of Subglacial Lake Ellsworth. Recording instruments: Leica geodetic receivers. Four locations with continuous data records; all other locations (~70) occupied for short periods (mostly 1 hour). proprietary
GB-NERC-BAS-AEDC-00343 AFI 07/02_02 Subglacial Lake Ellsworth - GPS data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594535-SCIOPS.umm_json Geographical Positioning System (GPS) data recorded in the region of Subglacial Lake Ellsworth. Recording instruments: Leica geodetic receivers. Four locations with continuous data records; all other locations (~70) occupied for short periods (mostly 1 hour). proprietary
-GB-NERC-BAS-AEDC-00344 AFI 07/02_03 Subglacial Lake Ellsworth - RADAR data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594554-SCIOPS.umm_json Radar data acquired in the region of Subglacial Lake Ellsworth. Recording instrument: the British Antarctic Survey's (BAS) DELORES 1 and DELORES II radar systems. Line length between 1 and 45 km. Simultaneous GPS data acquired with Leica geodetic GPS receiver at 1 sec intervals. proprietary
GB-NERC-BAS-AEDC-00344 AFI 07/02_03 Subglacial Lake Ellsworth - RADAR data, Antarctica, 2007/08 SCIOPS STAC Catalog 2007-11-09 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594554-SCIOPS.umm_json Radar data acquired in the region of Subglacial Lake Ellsworth. Recording instrument: the British Antarctic Survey's (BAS) DELORES 1 and DELORES II radar systems. Line length between 1 and 45 km. Simultaneous GPS data acquired with Leica geodetic GPS receiver at 1 sec intervals. proprietary
-GB-NERC-BAS-AEDC-00347 AFI 07/02_04 - Subglacial Lake Ellsworth - METEOROLOGICAL data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594536-SCIOPS.umm_json Meteorological data acquired in the region of Subglacial Lake Ellsworth. Recording instrument: HOBO Weather Station (HOBO AWS) recording wind speed, wind direction, temperature, pressure, humidity, solar radiation. HOBO - registered trademark of the Onset Computer Corporation proprietary
+GB-NERC-BAS-AEDC-00344 AFI 07/02_03 Subglacial Lake Ellsworth - RADAR data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594554-SCIOPS.umm_json Radar data acquired in the region of Subglacial Lake Ellsworth. Recording instrument: the British Antarctic Survey's (BAS) DELORES 1 and DELORES II radar systems. Line length between 1 and 45 km. Simultaneous GPS data acquired with Leica geodetic GPS receiver at 1 sec intervals. proprietary
GB-NERC-BAS-AEDC-00347 AFI 07/02_04 - Subglacial Lake Ellsworth - METEOROLOGICAL data, Antarctica, 2007/08 SCIOPS STAC Catalog 2007-11-09 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594536-SCIOPS.umm_json Meteorological data acquired in the region of Subglacial Lake Ellsworth. Recording instrument: HOBO Weather Station (HOBO AWS) recording wind speed, wind direction, temperature, pressure, humidity, solar radiation. HOBO - registered trademark of the Onset Computer Corporation proprietary
+GB-NERC-BAS-AEDC-00347 AFI 07/02_04 - Subglacial Lake Ellsworth - METEOROLOGICAL data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594536-SCIOPS.umm_json Meteorological data acquired in the region of Subglacial Lake Ellsworth. Recording instrument: HOBO Weather Station (HOBO AWS) recording wind speed, wind direction, temperature, pressure, humidity, solar radiation. HOBO - registered trademark of the Onset Computer Corporation proprietary
GB-NERC-BAS-AEDC-00348 AFI 07/02_05 - Subglacial Lake Ellsworth - ICE CORE samples, Antarctica, 2007/08 SCIOPS STAC Catalog 2007-11-09 2008-02-03 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594555-SCIOPS.umm_json Shallow ice cores collected in the region of Subglacial Lake Ellsworth. Three cores drilled to ~20 m depth. Two cores returned to UK for analysis. One core measured for density-depth in the field, then discarded. One of the two cores returned to UK has been sent to Bristol University for major anion/cation analysis; the other core is at the British Antarctic Survey (BAS) and will be analysed for accumulation rate. Expect no core to remain once analysis has been completed. proprietary
GB-NERC-BAS-AEDC-00348 AFI 07/02_05 - Subglacial Lake Ellsworth - ICE CORE samples, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 2008-02-03 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594555-SCIOPS.umm_json Shallow ice cores collected in the region of Subglacial Lake Ellsworth. Three cores drilled to ~20 m depth. Two cores returned to UK for analysis. One core measured for density-depth in the field, then discarded. One of the two cores returned to UK has been sent to Bristol University for major anion/cation analysis; the other core is at the British Antarctic Survey (BAS) and will be analysed for accumulation rate. Expect no core to remain once analysis has been completed. proprietary
GB-NERC-BAS-AEDC-00349 AFI 07/02_06 - Subglacial Lake Ellsworth - ICE CORE data, Antarctica, 2007/08 SCIOPS STAC Catalog 2007-11-09 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594556-SCIOPS.umm_json Analysis of shallow ice cores collected in the region of Subglacial Lake Ellsworth. Three cores drilled to ~20 m depth. Two cores returned to UK for analysis. One core measured for density-depth in the field, then discarded. One of the two cores returned to UK has been sent to Bristol University for major anion/cation analysis; the other core is at the British Antarctic Survey (BAS) and will be analysed for accumulation rate. Density data is complete. Accumulation and chemical analysis is in progress. proprietary
GB-NERC-BAS-AEDC-00349 AFI 07/02_06 - Subglacial Lake Ellsworth - ICE CORE data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594556-SCIOPS.umm_json Analysis of shallow ice cores collected in the region of Subglacial Lake Ellsworth. Three cores drilled to ~20 m depth. Two cores returned to UK for analysis. One core measured for density-depth in the field, then discarded. One of the two cores returned to UK has been sent to Bristol University for major anion/cation analysis; the other core is at the British Antarctic Survey (BAS) and will be analysed for accumulation rate. Density data is complete. Accumulation and chemical analysis is in progress. proprietary
-GB-NERC-BAS-AEDC-00350 AFI 07/02_07 Subglacial Lake Ellsworth - GRAVITY data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 2008-02-03 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594538-SCIOPS.umm_json Gravity data acquired in the region of Subglacial Lake Ellsworth. Instrument Lacoste and Romberg land gravity meter. Drift control primarily contained within the local area. Single, one-way tie to international gravity base station network (Rothera) Single survey line ~30 km long. Station spacing 2 km, except for 240 m spacing over the lake. Position, elevation, ice- and water-thickness data exist for each station. proprietary
GB-NERC-BAS-AEDC-00350 AFI 07/02_07 Subglacial Lake Ellsworth - GRAVITY data, Antarctica, 2007/08 SCIOPS STAC Catalog 2007-11-09 2008-02-03 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594538-SCIOPS.umm_json Gravity data acquired in the region of Subglacial Lake Ellsworth. Instrument Lacoste and Romberg land gravity meter. Drift control primarily contained within the local area. Single, one-way tie to international gravity base station network (Rothera) Single survey line ~30 km long. Station spacing 2 km, except for 240 m spacing over the lake. Position, elevation, ice- and water-thickness data exist for each station. proprietary
-GB-NERC-BAS-AEDC-00351 AFI 07/02_08 Subglacial Lake Ellsworth 20-m - TEMPERATURE data, Antarctica, 2007/08 SCIOPS STAC Catalog 2007-11-09 2008-02-03 91.01667, -79.86667, 89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594617-SCIOPS.umm_json Measurement of temperature at the base of a 20-m deep borehole in the region of Subglacial Lake Ellsworth. Resistance of two calibrated thermistors measured at the base of a 20 m deep borehole. proprietary
+GB-NERC-BAS-AEDC-00350 AFI 07/02_07 Subglacial Lake Ellsworth - GRAVITY data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 2008-02-03 -91.01667, -79.86667, -89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594538-SCIOPS.umm_json Gravity data acquired in the region of Subglacial Lake Ellsworth. Instrument Lacoste and Romberg land gravity meter. Drift control primarily contained within the local area. Single, one-way tie to international gravity base station network (Rothera) Single survey line ~30 km long. Station spacing 2 km, except for 240 m spacing over the lake. Position, elevation, ice- and water-thickness data exist for each station. proprietary
GB-NERC-BAS-AEDC-00351 AFI 07/02_08 Subglacial Lake Ellsworth 20-m - TEMPERATURE data, Antarctica, 2007/08 ALL STAC Catalog 2007-11-09 2008-02-03 91.01667, -79.86667, 89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594617-SCIOPS.umm_json Measurement of temperature at the base of a 20-m deep borehole in the region of Subglacial Lake Ellsworth. Resistance of two calibrated thermistors measured at the base of a 20 m deep borehole. proprietary
+GB-NERC-BAS-AEDC-00351 AFI 07/02_08 Subglacial Lake Ellsworth 20-m - TEMPERATURE data, Antarctica, 2007/08 SCIOPS STAC Catalog 2007-11-09 2008-02-03 91.01667, -79.86667, 89.21667, -79.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214594617-SCIOPS.umm_json Measurement of temperature at the base of a 20-m deep borehole in the region of Subglacial Lake Ellsworth. Resistance of two calibrated thermistors measured at the base of a 20 m deep borehole. proprietary
GB-NERC-BAS-AEDC-00361 AFI 01/05_01 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Borehole sensors data, 2004/06 ALL STAC Catalog 2004-11-18 2006-02-28 -83.9, -78.14, -83.9, -78.14 https://cmr.earthdata.nasa.gov/search/concepts/C1214594657-SCIOPS.umm_json Approximatively 1MB of ice temperature data acquired during the RABID Project. Measured on a thermistor cable with 10 sensors located at depths between 15 m and 300 m below the surface. Collected between November 2004 and February 2006. proprietary
GB-NERC-BAS-AEDC-00361 AFI 01/05_01 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Borehole sensors data, 2004/06 SCIOPS STAC Catalog 2004-11-18 2006-02-28 -83.9, -78.14, -83.9, -78.14 https://cmr.earthdata.nasa.gov/search/concepts/C1214594657-SCIOPS.umm_json Approximatively 1MB of ice temperature data acquired during the RABID Project. Measured on a thermistor cable with 10 sensors located at depths between 15 m and 300 m below the surface. Collected between November 2004 and February 2006. proprietary
-GB-NERC-BAS-AEDC-00367 AFI 01/05_02 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Drill monitoring data, 2004/06 ALL STAC Catalog 2005-01-08 2005-01-17 -83.9, -78.14, -83.9, -78.14 https://cmr.earthdata.nasa.gov/search/concepts/C1214594619-SCIOPS.umm_json Digital time series data collected for monitoring of drilling during the RABID Project. Water temperature, pressure, flow. Drill depth and hose tension. Instrumentation: SENSORS Flow meter - Kobold Instruments Ltd, L25 axial turbine flow meter. Water pressure - Omega Engineering Ltd, PX222-250GV pressure transducer Water level - GEMS 4000KGB100M2KJ Range 0-10bG immersible pressure transducer Water temperate - Omega Engineering Ltd, K2017 PT100 ceramic element thermometer Hose tension(Load Cell) - Omega Engineering Ltd, LCCB-2K load cell Hose speed and depth - Red Lion, rotary pulse generator LSQS0200 Additional water temperature - FishTag and TinyTalk data loggers proprietary
GB-NERC-BAS-AEDC-00367 AFI 01/05_02 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Drill monitoring data, 2004/06 SCIOPS STAC Catalog 2005-01-08 2005-01-17 -83.9, -78.14, -83.9, -78.14 https://cmr.earthdata.nasa.gov/search/concepts/C1214594619-SCIOPS.umm_json Digital time series data collected for monitoring of drilling during the RABID Project. Water temperature, pressure, flow. Drill depth and hose tension. Instrumentation: SENSORS Flow meter - Kobold Instruments Ltd, L25 axial turbine flow meter. Water pressure - Omega Engineering Ltd, PX222-250GV pressure transducer Water level - GEMS 4000KGB100M2KJ Range 0-10bG immersible pressure transducer Water temperate - Omega Engineering Ltd, K2017 PT100 ceramic element thermometer Hose tension(Load Cell) - Omega Engineering Ltd, LCCB-2K load cell Hose speed and depth - Red Lion, rotary pulse generator LSQS0200 Additional water temperature - FishTag and TinyTalk data loggers proprietary
-GB-NERC-BAS-AEDC-00368 AFI 01/05_03 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - GPS data, 2004/06 ALL STAC Catalog 2004-11-18 2006-02-28 -85, -78.25, -82, -77.75 https://cmr.earthdata.nasa.gov/search/concepts/C1214594659-SCIOPS.umm_json GPS positions from sensors monitoring ice flow during the RABID Project (Leica and Trimble receivers). Five stations on the ice stream, plus one on slow-moving adjacent ice sheet (Fletcher Promontory), and one on a nunatak (unofficial name &Tolly''s Heel&) in the Ellsworth Mountains. Sensors: Leica 1200 GPS receivers Trimble 5200 GPS receivers Trimble 4000 GPS receivers proprietary
+GB-NERC-BAS-AEDC-00367 AFI 01/05_02 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Drill monitoring data, 2004/06 ALL STAC Catalog 2005-01-08 2005-01-17 -83.9, -78.14, -83.9, -78.14 https://cmr.earthdata.nasa.gov/search/concepts/C1214594619-SCIOPS.umm_json Digital time series data collected for monitoring of drilling during the RABID Project. Water temperature, pressure, flow. Drill depth and hose tension. Instrumentation: SENSORS Flow meter - Kobold Instruments Ltd, L25 axial turbine flow meter. Water pressure - Omega Engineering Ltd, PX222-250GV pressure transducer Water level - GEMS 4000KGB100M2KJ Range 0-10bG immersible pressure transducer Water temperate - Omega Engineering Ltd, K2017 PT100 ceramic element thermometer Hose tension(Load Cell) - Omega Engineering Ltd, LCCB-2K load cell Hose speed and depth - Red Lion, rotary pulse generator LSQS0200 Additional water temperature - FishTag and TinyTalk data loggers proprietary
GB-NERC-BAS-AEDC-00368 AFI 01/05_03 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - GPS data, 2004/06 SCIOPS STAC Catalog 2004-11-18 2006-02-28 -85, -78.25, -82, -77.75 https://cmr.earthdata.nasa.gov/search/concepts/C1214594659-SCIOPS.umm_json GPS positions from sensors monitoring ice flow during the RABID Project (Leica and Trimble receivers). Five stations on the ice stream, plus one on slow-moving adjacent ice sheet (Fletcher Promontory), and one on a nunatak (unofficial name &Tolly''s Heel&) in the Ellsworth Mountains. Sensors: Leica 1200 GPS receivers Trimble 5200 GPS receivers Trimble 4000 GPS receivers proprietary
+GB-NERC-BAS-AEDC-00368 AFI 01/05_03 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - GPS data, 2004/06 ALL STAC Catalog 2004-11-18 2006-02-28 -85, -78.25, -82, -77.75 https://cmr.earthdata.nasa.gov/search/concepts/C1214594659-SCIOPS.umm_json GPS positions from sensors monitoring ice flow during the RABID Project (Leica and Trimble receivers). Five stations on the ice stream, plus one on slow-moving adjacent ice sheet (Fletcher Promontory), and one on a nunatak (unofficial name &Tolly''s Heel&) in the Ellsworth Mountains. Sensors: Leica 1200 GPS receivers Trimble 5200 GPS receivers Trimble 4000 GPS receivers proprietary
GB-NERC-BAS-AEDC-00369 AFI 01/05_04 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Seismic reflection data, 2004/06 SCIOPS STAC Catalog 2004-11-28 2005-02-06 -85, -78.25, -83, -78 https://cmr.earthdata.nasa.gov/search/concepts/C1214594680-SCIOPS.umm_json Digital seismic reflection data (BISON 9024 seismograph) acquired during the RABID Project. Data collected using 24 channels, active source (explosives). Four single-fold lines. Line length 3.6 km. Instrumentation Data logger: BISON 9024 seismograph Sensors: OYO-Geospace geophones (100 Hz natural frequency) proprietary
GB-NERC-BAS-AEDC-00369 AFI 01/05_04 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Seismic reflection data, 2004/06 ALL STAC Catalog 2004-11-28 2005-02-06 -85, -78.25, -83, -78 https://cmr.earthdata.nasa.gov/search/concepts/C1214594680-SCIOPS.umm_json Digital seismic reflection data (BISON 9024 seismograph) acquired during the RABID Project. Data collected using 24 channels, active source (explosives). Four single-fold lines. Line length 3.6 km. Instrumentation Data logger: BISON 9024 seismograph Sensors: OYO-Geospace geophones (100 Hz natural frequency) proprietary
GB-NERC-BAS-AEDC-00371 AFI 01/05_05 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Ice core samples, 2004/06 SCIOPS STAC Catalog 2005-01-24 2005-01-26 -83.9, -78.14, -83.9, -78.14 https://cmr.earthdata.nasa.gov/search/concepts/C1214594681-SCIOPS.umm_json Sections of ice core acquired from upper 100 m of the ice stream during the RABID Project. Retrieved using hot-water corer. Cores taken at selected depths in two adjacent holes. Core section length = up to 4 m. Number of core sections = 6. Total length = 20.8 m. Instrumentation: Ice cores drilled using hot-water ice-coring technique. proprietary
GB-NERC-BAS-AEDC-00371 AFI 01/05_05 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Ice core samples, 2004/06 ALL STAC Catalog 2005-01-24 2005-01-26 -83.9, -78.14, -83.9, -78.14 https://cmr.earthdata.nasa.gov/search/concepts/C1214594681-SCIOPS.umm_json Sections of ice core acquired from upper 100 m of the ice stream during the RABID Project. Retrieved using hot-water corer. Cores taken at selected depths in two adjacent holes. Core section length = up to 4 m. Number of core sections = 6. Total length = 20.8 m. Instrumentation: Ice cores drilled using hot-water ice-coring technique. proprietary
-GB-NERC-BAS-AEDC-00373 AFI 01/05_06 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Radar data, 2004/06 SCIOPS STAC Catalog 2005-01-21 2005-02-13 -85, -78.25, -83, -78 https://cmr.earthdata.nasa.gov/search/concepts/C1214594667-SCIOPS.umm_json Ground-Penetrating Radar (GPR) data acquired during the RABID Project with a Mala GPR. proprietary
GB-NERC-BAS-AEDC-00373 AFI 01/05_06 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Radar data, 2004/06 ALL STAC Catalog 2005-01-21 2005-02-13 -85, -78.25, -83, -78 https://cmr.earthdata.nasa.gov/search/concepts/C1214594667-SCIOPS.umm_json Ground-Penetrating Radar (GPR) data acquired during the RABID Project with a Mala GPR. proprietary
+GB-NERC-BAS-AEDC-00373 AFI 01/05_06 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Radar data, 2004/06 SCIOPS STAC Catalog 2005-01-21 2005-02-13 -85, -78.25, -83, -78 https://cmr.earthdata.nasa.gov/search/concepts/C1214594667-SCIOPS.umm_json Ground-Penetrating Radar (GPR) data acquired during the RABID Project with a Mala GPR. proprietary
GB-NERC-BAS-AEDC-00374 AFI 01/05_07 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Weather data, 2004/06 ALL STAC Catalog 2004-12-30 2005-02-20 -83.9, -78.14, -83.9, -78.14 https://cmr.earthdata.nasa.gov/search/concepts/C1214594668-SCIOPS.umm_json Weather data acquired on Rutford Ice Stream during the RABID Project. Wind speed, wind direction, temperature, pressure, humidity, solar radiation recored with an HOBO AWS (Automatic Weather Station: data logger & sensors ); proprietary
GB-NERC-BAS-AEDC-00374 AFI 01/05_07 - Basal conditions on Rutford Ice Stream, West Antarctica: Hot-water drilling and down-hole instrumentation - Weather data, 2004/06 SCIOPS STAC Catalog 2004-12-30 2005-02-20 -83.9, -78.14, -83.9, -78.14 https://cmr.earthdata.nasa.gov/search/concepts/C1214594668-SCIOPS.umm_json Weather data acquired on Rutford Ice Stream during the RABID Project. Wind speed, wind direction, temperature, pressure, humidity, solar radiation recored with an HOBO AWS (Automatic Weather Station: data logger & sensors ); proprietary
-GB-NERC-BAS-AEDC-00396 AFI 01/07_01 - Observations of Antarctic Precipitation processes - Air samples and analyses, 2000/03 SCIOPS STAC Catalog 2000-06-22 2003-11-01 75, -74.63, 75, -74.63 https://cmr.earthdata.nasa.gov/search/concepts/C1214603086-SCIOPS.umm_json The sampling programme was carried out successfully using kites and helium balloon assisted kites to sample in both low and higher winds speeds. Air samples were successfully processed using the Ice Nucleus chamber for a variety of wind directions representing a range of air mass trajectories and source regions. proprietary
GB-NERC-BAS-AEDC-00396 AFI 01/07_01 - Observations of Antarctic Precipitation processes - Air samples and analyses, 2000/03 ALL STAC Catalog 2000-06-22 2003-11-01 75, -74.63, 75, -74.63 https://cmr.earthdata.nasa.gov/search/concepts/C1214603086-SCIOPS.umm_json The sampling programme was carried out successfully using kites and helium balloon assisted kites to sample in both low and higher winds speeds. Air samples were successfully processed using the Ice Nucleus chamber for a variety of wind directions representing a range of air mass trajectories and source regions. proprietary
+GB-NERC-BAS-AEDC-00396 AFI 01/07_01 - Observations of Antarctic Precipitation processes - Air samples and analyses, 2000/03 SCIOPS STAC Catalog 2000-06-22 2003-11-01 75, -74.63, 75, -74.63 https://cmr.earthdata.nasa.gov/search/concepts/C1214603086-SCIOPS.umm_json The sampling programme was carried out successfully using kites and helium balloon assisted kites to sample in both low and higher winds speeds. Air samples were successfully processed using the Ice Nucleus chamber for a variety of wind directions representing a range of air mass trajectories and source regions. proprietary
GB-NERC-BAS-AEDC-00400 AFI 02/37_01 - Identifying terranes in the Antarctic Peninsula using primitive basalt dykes as lithospheric probes - Rock samples collected from Palmer Land and Graham Land in the 2001/2002 field season. ALL STAC Catalog 2001-11-01 2002-02-28 -65, -73, -63, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214594682-SCIOPS.umm_json Initial work during the 2001/2002 field season commenced with reconnaissance and sampling in northeast Palmer Land. Over a two month period, outcrop from the Welch Mountains to the Eternity Range was visited, the geology described, and mafic dyke samples collected for analysis. This was followed by a further two months based on the ship HMS Endurance, carrying out helicopter assisted sampling of numerous islands and coastal localities along the western and eastern margin of northern Graham Land. Approximately 200 (400kg of dyke and host rock at Palmer land and 80kg at nine localities in Graham Land) rock samples were collected. proprietary
GB-NERC-BAS-AEDC-00400 AFI 02/37_01 - Identifying terranes in the Antarctic Peninsula using primitive basalt dykes as lithospheric probes - Rock samples collected from Palmer Land and Graham Land in the 2001/2002 field season. SCIOPS STAC Catalog 2001-11-01 2002-02-28 -65, -73, -63, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214594682-SCIOPS.umm_json Initial work during the 2001/2002 field season commenced with reconnaissance and sampling in northeast Palmer Land. Over a two month period, outcrop from the Welch Mountains to the Eternity Range was visited, the geology described, and mafic dyke samples collected for analysis. This was followed by a further two months based on the ship HMS Endurance, carrying out helicopter assisted sampling of numerous islands and coastal localities along the western and eastern margin of northern Graham Land. Approximately 200 (400kg of dyke and host rock at Palmer land and 80kg at nine localities in Graham Land) rock samples were collected. proprietary
-GB-NERC-BAS-AEDC-00401 AFI 02/37_02 - Identifying terranes in the Antarctic Peninsula using primitive basalt dykes as lithospheric probes - Geochemical and petrographic analysis of rock samples, 2001/02 ALL STAC Catalog 2001-11-01 2002-02-28 -65, -73, -63, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214594700-SCIOPS.umm_json The chemistry of mafic volcanic rocks and minor intrusions erupted on continents can be used to define the composition and history of subcontinental asthenospheric and lithospheric mantle domains. We have produced new and collated published data for Antarctica in order to identify mantle domains beneath the continent. Suitable material archived at the British Antarctic Survey, Cambridge, the result of previous geological research, was sampled and prepared for petrographic and geochemical analysis in the intervening period between field collection and sample arrival in the United Kingdom. Field information, petrography and raw geochemical data obtained from XRF (X-ray fluorescence), ICPMS (Inductively coupled plasma-mass spectrometer), TIMS (Thermal Ionization Mass Spectrometer), Ar/Ar analysis and Electron Microprobe analysis of rock samples collected from Palmer Land and Graham Land was used to define a geochemical profile of crust/mantle architecture beneath the An tarctic Peninsula. proprietary
GB-NERC-BAS-AEDC-00401 AFI 02/37_02 - Identifying terranes in the Antarctic Peninsula using primitive basalt dykes as lithospheric probes - Geochemical and petrographic analysis of rock samples, 2001/02 SCIOPS STAC Catalog 2001-11-01 2002-02-28 -65, -73, -63, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214594700-SCIOPS.umm_json The chemistry of mafic volcanic rocks and minor intrusions erupted on continents can be used to define the composition and history of subcontinental asthenospheric and lithospheric mantle domains. We have produced new and collated published data for Antarctica in order to identify mantle domains beneath the continent. Suitable material archived at the British Antarctic Survey, Cambridge, the result of previous geological research, was sampled and prepared for petrographic and geochemical analysis in the intervening period between field collection and sample arrival in the United Kingdom. Field information, petrography and raw geochemical data obtained from XRF (X-ray fluorescence), ICPMS (Inductively coupled plasma-mass spectrometer), TIMS (Thermal Ionization Mass Spectrometer), Ar/Ar analysis and Electron Microprobe analysis of rock samples collected from Palmer Land and Graham Land was used to define a geochemical profile of crust/mantle architecture beneath the An tarctic Peninsula. proprietary
+GB-NERC-BAS-AEDC-00401 AFI 02/37_02 - Identifying terranes in the Antarctic Peninsula using primitive basalt dykes as lithospheric probes - Geochemical and petrographic analysis of rock samples, 2001/02 ALL STAC Catalog 2001-11-01 2002-02-28 -65, -73, -63, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214594700-SCIOPS.umm_json The chemistry of mafic volcanic rocks and minor intrusions erupted on continents can be used to define the composition and history of subcontinental asthenospheric and lithospheric mantle domains. We have produced new and collated published data for Antarctica in order to identify mantle domains beneath the continent. Suitable material archived at the British Antarctic Survey, Cambridge, the result of previous geological research, was sampled and prepared for petrographic and geochemical analysis in the intervening period between field collection and sample arrival in the United Kingdom. Field information, petrography and raw geochemical data obtained from XRF (X-ray fluorescence), ICPMS (Inductively coupled plasma-mass spectrometer), TIMS (Thermal Ionization Mass Spectrometer), Ar/Ar analysis and Electron Microprobe analysis of rock samples collected from Palmer Land and Graham Land was used to define a geochemical profile of crust/mantle architecture beneath the An tarctic Peninsula. proprietary
GB-NERC-BAS-AEDC-00423 AFI 01/07_02 - Observations of Antarctic Precipitation processes - Ice Nuclei & Meteorological Data, Mount Rex, Antarctica Jan-Feb 2002 SCIOPS STAC Catalog 2002-01-17 2002-02-17 75, -74.63, 75, -74.63 https://cmr.earthdata.nasa.gov/search/concepts/C1214599942-SCIOPS.umm_json The sampling programme was carried out successfully using kites and helium balloon assisted kites to sample in both low and higher winds speeds. Air samples were successfully processed using the Ice Nucleus chamber for a variety of wind directions representing a range of air mass trajectories and source regions. The aim was to sample air that had passed over land (the Peninsula), sea (Bellingshausen and Weddell) or ice (the plateau) and compare the size and quantity of ice crystals transported. Data collected using our own Automatic Weather Station (AWS), also an ADAS tether sonde system, some radiosondes, a sensor and logger attached to the ice-crystal replicator system and an Ice Nucleus chamber. The collection was made during a month in January, February 2002 East of Weatherheaven. proprietary
GB-NERC-BAS-AEDC-00423 AFI 01/07_02 - Observations of Antarctic Precipitation processes - Ice Nuclei & Meteorological Data, Mount Rex, Antarctica Jan-Feb 2002 ALL STAC Catalog 2002-01-17 2002-02-17 75, -74.63, 75, -74.63 https://cmr.earthdata.nasa.gov/search/concepts/C1214599942-SCIOPS.umm_json The sampling programme was carried out successfully using kites and helium balloon assisted kites to sample in both low and higher winds speeds. Air samples were successfully processed using the Ice Nucleus chamber for a variety of wind directions representing a range of air mass trajectories and source regions. The aim was to sample air that had passed over land (the Peninsula), sea (Bellingshausen and Weddell) or ice (the plateau) and compare the size and quantity of ice crystals transported. Data collected using our own Automatic Weather Station (AWS), also an ADAS tether sonde system, some radiosondes, a sensor and logger attached to the ice-crystal replicator system and an Ice Nucleus chamber. The collection was made during a month in January, February 2002 East of Weatherheaven. proprietary
GB-NERC-BAS-PDC-00499 ACES-FOCAS: Forcings from the Ocean, Clouds, Atmosphere and Sea-ice ALL STAC Catalog 2008-01-01 2008-02-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214599974-SCIOPS.umm_json ACES will investigate the atmospheric and oceanic links that connect the climate of the Antarctic to that of lower latitudes, and their controlling mechanisms. Specific research topics will include the formation and properties of Antarctic clouds, the complexities of the atmospheric boundary layer, and the importance to the global ocean circulation of cold, dense water masses generated in the Antarctic. By quantifying the role of southern polar processes in the global climate system, ACES will help improve predictions of climate change. Our knowledge of the workings of the climate system is far from complete. We know that atmospheric and oceanic processes in the Antarctic and Southern Ocean influence and are influenced by global climate, but we are unsure of important details. Describing and quantifying the role of the southern polar regions in the global climate system is both important and timely. Delivering the Results ACES will carry out a comprehensive programme of oceanographic measurements from BAS ships in the Weddell and Bellingshausen Seas, and will use BAS's instrument-carrying Twin Otter aircraft to help us study cloud microphysics and air-sea-ice interaction. We will obtain an ice core from the southwestern Antarctic Peninsula to give us a 150-year record of the strength of the circumpolar westerly winds. We will use these observations to test and improve global climate models and a new regional atmosphere-ice-ocean model for the Antarctic. ACES will link with CACHE, GRADES, GEACEP, BIOFLAME, DISCOVERY 2010, and SEC. proprietary
@@ -7100,12 +7102,12 @@ GGD200_1 Borehole temperatures in deep wells of Western Siberia, Russia, 1960-19
GGD222_1 Active layer and permafrost properties, including snow depth, soil temperature, and soil moisture, Barrow, Alaska, Version 1 NSIDCV0 STAC Catalog 1962-01-01 1993-12-31 -156.78872, 71.29058, -156.78872, 71.29058 https://cmr.earthdata.nasa.gov/search/concepts/C1386206550-NSIDCV0.umm_json This data set contains soil temperature, soil moisture, thaw depth, and snow depth data collected at test sites near Barrow, Alaska, during the following years. Soil temperature data - 1963-1966, 1993 Soil moisture data - 1963 Thaw depth - 1962-1968, 1991-1993 Snow depth - 1963-1964 This study focused on characterizing the active soil layer at Barrow, and determining the relationships between and among these physical properties at permafrost sites in the Arctic. This site is U1 of the IPA's Circumpolar Active Layer Monitoring (CALM) Program and later measurements are available at the CALM Web site. proprietary
GGD222_1 Active layer and permafrost properties, including snow depth, soil temperature, and soil moisture, Barrow, Alaska, Version 1 ALL STAC Catalog 1962-01-01 1993-12-31 -156.78872, 71.29058, -156.78872, 71.29058 https://cmr.earthdata.nasa.gov/search/concepts/C1386206550-NSIDCV0.umm_json This data set contains soil temperature, soil moisture, thaw depth, and snow depth data collected at test sites near Barrow, Alaska, during the following years. Soil temperature data - 1963-1966, 1993 Soil moisture data - 1963 Thaw depth - 1962-1968, 1991-1993 Snow depth - 1963-1964 This study focused on characterizing the active soil layer at Barrow, and determining the relationships between and among these physical properties at permafrost sites in the Arctic. This site is U1 of the IPA's Circumpolar Active Layer Monitoring (CALM) Program and later measurements are available at the CALM Web site. proprietary
GGD223_1 Borehole locations and permafrost depths, Alaska, USA, Version 1 NSIDCV0 STAC Catalog 1950-01-01 1989-12-31 -165.767, 62.19, -141.15, 71.189 https://cmr.earthdata.nasa.gov/search/concepts/C1386206551-NSIDCV0.umm_json The methods utilized by the U.S. Geological Survey to measure subsurface temperatures have evolved considerably over the years. Although some of the early measurements were obtained using thermistor strings frozen into permafrost, the vast majority of the measurements were made in fluid-filled holes using a custom temperature sensor. A typical sensor used in Alaska prior to 1989 consisted of a series-parallel network of 20 thermistors; see Sass et al. [1971] for a more detailed description. During a logging experiment, the resistance of the thermistor network was determined using a Wheatstone bridge prior to 1967. After that time, a 4-wire resistance measurement was made using a commercial 5.5-digit multimeter (DMM). Before 1984, boreholes were logged in the 'incremental' or 'stop-and-go' modes; the vertical spacing of the measurements was typically 3-15 m. Beginning in 1984, the depth/resistance measurements were automatically stored on magnetic tape, allowing boreholes to be logged in the 'continuous' mode; the typical data spacing for the continuous temperature logs was 0.3 m (1 ft). Many of the Alaskan boreholes were re-logged several times to quantify the thermal disturbance caused by drilling the holes (see Lachenbruch and Brewer [1959]). A review of current temperature measuring techniques used by the USGS in the polar regions is given by Clow et al. [1996]. Data from 1950-1989 are included on the CAPS CD-ROM Version 1.0, June 1998. proprietary
-GGD239_1 Active layer physical processes at Broeggerhalvoya, western Spitsbergen, Version 1 ALL STAC Catalog 1985-07-01 1986-06-30 12.462, 78.958, 12.462, 78.958 https://cmr.earthdata.nasa.gov/search/concepts/C1386206556-NSIDCV0.umm_json These data have been collected from an Arctic desert site (latitude 78o57'29N, longitude 12o27'42E), Broeggerhalvoya in western Spitsbergen, 10 km NW from Ny Alesund, 45 m above sea level, 2 km from the shore. This is a low relief tip of a bedrock peninsula covered with several meters of glacial drift and reworked raised beach ridges. The measurements are obtained in the site of well developed patterned ground, sorted polygons, where the influence of plants, including thermal insulation and transpiration, is negligible. The 1985-1986 period was average. Mean annual air temperature was -6.6 C, 0.4 C colder than the long-term (1975-1990) mean, but well within the mean variability. Mean winter air temperature is relatively warm (mean of coldest month, February, is -14.6 C). Annual precipitation was 17 % greater than the ong-term mean (372 mm); however, the number of rain-on-snow events was less (3) than average (5.5). Overall, the reference period is close to long-term averages. A program of automated soil temperature recordings was initiated in the summer of 1984, at a patterned ground field site Thermistors were placed approximately 0.1 m apart in an epoxy-filled PVC rod (18 mm outside diameter), buried in the center of a fine-grained domain of a sorted circle, down to 1.14 m below the ground surface. The data presented here covers 7/1/85-7/1/86, once a day (6 am), at two levels (0.0 m, 1.145 m below surface). The resolution of the thermistors is 0.004 C, and the accuracy is estimated to be 0.02 C near 0 C. Missing data accounts for less than 7 %. The gaps are filled with simple average of the beginning and end of the gap values. For a detailed description of the field site and data analysis see Putkonen (1997) and Hallet and Prestrud (1986). These data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
GGD239_1 Active layer physical processes at Broeggerhalvoya, western Spitsbergen, Version 1 NSIDCV0 STAC Catalog 1985-07-01 1986-06-30 12.462, 78.958, 12.462, 78.958 https://cmr.earthdata.nasa.gov/search/concepts/C1386206556-NSIDCV0.umm_json These data have been collected from an Arctic desert site (latitude 78o57'29N, longitude 12o27'42E), Broeggerhalvoya in western Spitsbergen, 10 km NW from Ny Alesund, 45 m above sea level, 2 km from the shore. This is a low relief tip of a bedrock peninsula covered with several meters of glacial drift and reworked raised beach ridges. The measurements are obtained in the site of well developed patterned ground, sorted polygons, where the influence of plants, including thermal insulation and transpiration, is negligible. The 1985-1986 period was average. Mean annual air temperature was -6.6 C, 0.4 C colder than the long-term (1975-1990) mean, but well within the mean variability. Mean winter air temperature is relatively warm (mean of coldest month, February, is -14.6 C). Annual precipitation was 17 % greater than the ong-term mean (372 mm); however, the number of rain-on-snow events was less (3) than average (5.5). Overall, the reference period is close to long-term averages. A program of automated soil temperature recordings was initiated in the summer of 1984, at a patterned ground field site Thermistors were placed approximately 0.1 m apart in an epoxy-filled PVC rod (18 mm outside diameter), buried in the center of a fine-grained domain of a sorted circle, down to 1.14 m below the ground surface. The data presented here covers 7/1/85-7/1/86, once a day (6 am), at two levels (0.0 m, 1.145 m below surface). The resolution of the thermistors is 0.004 C, and the accuracy is estimated to be 0.02 C near 0 C. Missing data accounts for less than 7 %. The gaps are filled with simple average of the beginning and end of the gap values. For a detailed description of the field site and data analysis see Putkonen (1997) and Hallet and Prestrud (1986). These data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
+GGD239_1 Active layer physical processes at Broeggerhalvoya, western Spitsbergen, Version 1 ALL STAC Catalog 1985-07-01 1986-06-30 12.462, 78.958, 12.462, 78.958 https://cmr.earthdata.nasa.gov/search/concepts/C1386206556-NSIDCV0.umm_json These data have been collected from an Arctic desert site (latitude 78o57'29N, longitude 12o27'42E), Broeggerhalvoya in western Spitsbergen, 10 km NW from Ny Alesund, 45 m above sea level, 2 km from the shore. This is a low relief tip of a bedrock peninsula covered with several meters of glacial drift and reworked raised beach ridges. The measurements are obtained in the site of well developed patterned ground, sorted polygons, where the influence of plants, including thermal insulation and transpiration, is negligible. The 1985-1986 period was average. Mean annual air temperature was -6.6 C, 0.4 C colder than the long-term (1975-1990) mean, but well within the mean variability. Mean winter air temperature is relatively warm (mean of coldest month, February, is -14.6 C). Annual precipitation was 17 % greater than the ong-term mean (372 mm); however, the number of rain-on-snow events was less (3) than average (5.5). Overall, the reference period is close to long-term averages. A program of automated soil temperature recordings was initiated in the summer of 1984, at a patterned ground field site Thermistors were placed approximately 0.1 m apart in an epoxy-filled PVC rod (18 mm outside diameter), buried in the center of a fine-grained domain of a sorted circle, down to 1.14 m below the ground surface. The data presented here covers 7/1/85-7/1/86, once a day (6 am), at two levels (0.0 m, 1.145 m below surface). The resolution of the thermistors is 0.004 C, and the accuracy is estimated to be 0.02 C near 0 C. Missing data accounts for less than 7 %. The gaps are filled with simple average of the beginning and end of the gap values. For a detailed description of the field site and data analysis see Putkonen (1997) and Hallet and Prestrud (1986). These data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
GGD23_1 Active-Layer and Permafrost Temperatures, Sisimiut (Holsteinsborg), Greenland, Version 1 NSIDCV0 STAC Catalog 1967-09-01 1982-08-31 -53.64, 66.94, -53.64, 66.94 https://cmr.earthdata.nasa.gov/search/concepts/C1386206552-NSIDCV0.umm_json This data set contains active-layer and permafrost temperatures from Sisimiut, west Greenland, recorded from 18 sensors at depths of 0.25 m, 0.5 m, 0.75 m, 1 m, 1.25 m, 1.5 m, 1.75 m, 2 m, 2.5 m, 3 m, 3.5 m, 4 m, 4.5 m, 5 m, 6 m, 7 m, 8 m, and 9 m below the surface. Snow depth, snow extent, and surface air temperature were also recorded. Thermometers recorded temperatures once a day from September 1967 to August 1982; however, this data set only contains bi-weekly averages. Data are in tab-delimited ASCII text format and are available via FTP. proprietary
GGD23_1 Active-Layer and Permafrost Temperatures, Sisimiut (Holsteinsborg), Greenland, Version 1 ALL STAC Catalog 1967-09-01 1982-08-31 -53.64, 66.94, -53.64, 66.94 https://cmr.earthdata.nasa.gov/search/concepts/C1386206552-NSIDCV0.umm_json This data set contains active-layer and permafrost temperatures from Sisimiut, west Greenland, recorded from 18 sensors at depths of 0.25 m, 0.5 m, 0.75 m, 1 m, 1.25 m, 1.5 m, 1.75 m, 2 m, 2.5 m, 3 m, 3.5 m, 4 m, 4.5 m, 5 m, 6 m, 7 m, 8 m, and 9 m below the surface. Snow depth, snow extent, and surface air temperature were also recorded. Thermometers recorded temperatures once a day from September 1967 to August 1982; however, this data set only contains bi-weekly averages. Data are in tab-delimited ASCII text format and are available via FTP. proprietary
-GGD249_1 Active layer thickness and ground temperatures, Svea, Svalbard, Version 1 NSIDCV0 STAC Catalog 1987-07-01 1996-05-31 16.683, 77.9, 16.683, 77.9 https://cmr.earthdata.nasa.gov/search/concepts/C1386206575-NSIDCV0.umm_json Snow and soil temperature records for January 1988 - May 1996 are presented. Included are snow depth and weight measurements, snow density (calculated), active layer depth in the frost tubes, weight of wet and dried soil samples from unknown depth within the active layer (water content calculated), and soil temperature at the surface (0.05 cm) and to the depths of 3 to 4 meters at 3 sites. The sites are 1) on a road covered by 1 m of gravel underlain by clay; 2) outside a building on piles, (sensors are placed 1 to 2 m from the building wall); and 3) under the building between piles. In addition, air temperature was measured inside the building or between the piles (documentation is not clear on this point.) There are several gaps in temperature measurements (January 1991 to May 1992). These data are presented on the CAPS CD-ROM version 1.0, June 1998. Air temperature, wind direction, and temperature were measured at 5, 20, 50, 100, 150, and 200 cm below the tundra surface at an undisturbed site; and at 5, 20, 50, 100, 150, 200 cm, and 3 m and 8 m below the concrete surface of a building. Incoming radiation, outgoing radiation, temperature of the heat flux instrument, global radiation, heat flux, wind speed, wind speed maximum, average wind speed, and temperature inside the building were measured since 1993 with data loggers. All data are recorded for July 1987 - February 1996. proprietary
GGD249_1 Active layer thickness and ground temperatures, Svea, Svalbard, Version 1 ALL STAC Catalog 1987-07-01 1996-05-31 16.683, 77.9, 16.683, 77.9 https://cmr.earthdata.nasa.gov/search/concepts/C1386206575-NSIDCV0.umm_json Snow and soil temperature records for January 1988 - May 1996 are presented. Included are snow depth and weight measurements, snow density (calculated), active layer depth in the frost tubes, weight of wet and dried soil samples from unknown depth within the active layer (water content calculated), and soil temperature at the surface (0.05 cm) and to the depths of 3 to 4 meters at 3 sites. The sites are 1) on a road covered by 1 m of gravel underlain by clay; 2) outside a building on piles, (sensors are placed 1 to 2 m from the building wall); and 3) under the building between piles. In addition, air temperature was measured inside the building or between the piles (documentation is not clear on this point.) There are several gaps in temperature measurements (January 1991 to May 1992). These data are presented on the CAPS CD-ROM version 1.0, June 1998. Air temperature, wind direction, and temperature were measured at 5, 20, 50, 100, 150, and 200 cm below the tundra surface at an undisturbed site; and at 5, 20, 50, 100, 150, 200 cm, and 3 m and 8 m below the concrete surface of a building. Incoming radiation, outgoing radiation, temperature of the heat flux instrument, global radiation, heat flux, wind speed, wind speed maximum, average wind speed, and temperature inside the building were measured since 1993 with data loggers. All data are recorded for July 1987 - February 1996. proprietary
+GGD249_1 Active layer thickness and ground temperatures, Svea, Svalbard, Version 1 NSIDCV0 STAC Catalog 1987-07-01 1996-05-31 16.683, 77.9, 16.683, 77.9 https://cmr.earthdata.nasa.gov/search/concepts/C1386206575-NSIDCV0.umm_json Snow and soil temperature records for January 1988 - May 1996 are presented. Included are snow depth and weight measurements, snow density (calculated), active layer depth in the frost tubes, weight of wet and dried soil samples from unknown depth within the active layer (water content calculated), and soil temperature at the surface (0.05 cm) and to the depths of 3 to 4 meters at 3 sites. The sites are 1) on a road covered by 1 m of gravel underlain by clay; 2) outside a building on piles, (sensors are placed 1 to 2 m from the building wall); and 3) under the building between piles. In addition, air temperature was measured inside the building or between the piles (documentation is not clear on this point.) There are several gaps in temperature measurements (January 1991 to May 1992). These data are presented on the CAPS CD-ROM version 1.0, June 1998. Air temperature, wind direction, and temperature were measured at 5, 20, 50, 100, 150, and 200 cm below the tundra surface at an undisturbed site; and at 5, 20, 50, 100, 150, 200 cm, and 3 m and 8 m below the concrete surface of a building. Incoming radiation, outgoing radiation, temperature of the heat flux instrument, global radiation, heat flux, wind speed, wind speed maximum, average wind speed, and temperature inside the building were measured since 1993 with data loggers. All data are recorded for July 1987 - February 1996. proprietary
GGD272_1 Cryosolic pedons from Russia and Alaska, Version 1 NSIDCV0 STAC Catalog 1970-01-01 -149, 62, 161, 69 https://cmr.earthdata.nasa.gov/search/concepts/C1386206581-NSIDCV0.umm_json U.S. pedon data on the CAPS Version 1.0 CD-ROM, June 1998, are a sample of the pedon data contained on a CD-ROM produced by the National Soil Survey Center - Soil Survey Laboratory(NSSC-SSL). The data include recent pedons from analyses for soil characterization and research within the National Cooperative Soil Survey. Less-than-complete characterization data are available for many pedons because only selected measurements were planned or because the planned measurements are not yet complete. This database is dynamic-- data for additional pedons are added as they are sampled and analyzed, other information is updated as pedons are classified, suspect measurements are rerun and replaced, and errors are found and corrected. The data on the NSSC-SSL CD-ROM represent a 'snapshot' of the database. The database includes pedons that represent the central concept of a soil series, pedons that represent the central concept of a map unit but not of a series, and pedons sampled to bracket a range of properties within a series or landscape. Thus, attribute data for some data elements may be incomplete or missing for certain portions of the United States. In instances where data are unavailable, a mask should be used to exclude the area from the analysis. For research purposes, all data are retained in the database. Users unfamiliar with a given soil or set of data may want to consult with a research soil scientist at the National Soil Survey Center. A research soil scientist can be reached by telephone at (402) 437-5006, or by writing the Soil Survey Laboratory Head, National Soil Survey Center, Natural Resources Conservation Service, Federal Building, Room 152, 100 Centennial Mall North, Lincoln, NE 68508-3866 USA. Pedons on the CAPS Version 1.0 CD-ROM cover areas in Russia (60 deg 37 min N to 69 deg 27 min N; 159 deg 07 min E to 161 deg 33 min E) and in Alaska (62 deg to 68 deg N; 135 deg to 149 deg W). proprietary
GGD311_1 Cryosolic pedons from Northern Canada, Version 1 NSIDCV0 STAC Catalog 1975-01-01 1996-12-31 -138.997, 63.942, -64.681, 81.832 https://cmr.earthdata.nasa.gov/search/concepts/C1386206775-NSIDCV0.umm_json Pedons included here represent Cryosolic (permafrost-affected) soils from across the Canadian North from Baffin Island in the east, to the lower Mackenzie Valley and northern Yukon in the west, and to Ellesmere Island in the High Arctic. Pedon locations are Pangnirtung Pass, Baffin Island, N.W.T. (8 pedons); Inuvik area, N.W.T. (2 pedons); Mackenzie Delta, N.W.T. (2 pedons); Tanquary Fiord, Ellesmere Island, N.W.T. (4 pedons); Lake Hazen, Ellesmere Island, N.W.T. (4 pedons); Eagle Plains, northern Yukon (3 pedons); Dawson City area, central Yukon (2 pedons). Cryosolic soils, according to the Canadian soil classification, are either mineral or organic materials that have permafrost either within 1 m of the surface (Static and Organic Cryosols) or within 2 m (Turbic Cryosols) if more than one-third of the pedon has been strongly cryoturbated, as indicated by disrupted, mixed, or broken horizons. They have a mean annual temperature below 0 degree C. In the soil profile descriptions, the perennially frozen (permafrost) soil horizons are identified by the letter 'z'. The descriptions and nomenclature used to describe these pedons are according to - Expert Committee on Soil Survey. 1983. The Canada Soil Information System, Manual for describing soil in the field. Agriculture Canada, Ottawa, Canada. Agriculture Canada Expert Committee on Soil Survey. 1987. The Canadian System of Soil Classification. (2nd ed.) Research Branch, Agriculture Canada, Ottawa, Canada. The methods for laboratory analysis are according to - Sheldrick, B.H. (editor). 1984. Analytical Methods Manual. 1984. Land Resource Research Institute, Agriculture Canada, Ottawa, Canada. Additional information relating to these pedons can be obtain by contacting Charles Tarnocai, Agriculture and Agri-Food Canada, Research Branch (ECORC), K.W. Neatby Building, Rm. 1135, 960 Carling Avenue, OTTAWA, Canada, K1A 0C6; Tel.- (613) 759-1857; Fax- (613) 759-1937; E-mail- tarnocaict@em.agr.ca. The data file on the CAPS Version 1.0 CD-ROM contains laboratory analyses of the soil samples, including chemical, physical, mineralogical (clay mineralogy when applicable), and particle size distribution analyses. proprietary
GGD316_1 Catalog of boreholes from Russia and Mongolia, Version 1 NSIDCV0 STAC Catalog 1980-01-01 1993-12-31 53.383, 46.8, 178.683, 75.583 https://cmr.earthdata.nasa.gov/search/concepts/C1386206796-NSIDCV0.umm_json This catalog of boreholes from across Russia and Mongolia includes those published in papers and monographs as well as other literature of limited circulation. The 122 boreholes were used to derive a characterization of the Russian territory according to eight geocryological regions. Five boreholes are included for Mongolia. Data from these boreholes were used in the generation of the Circum-arctic Map of Permafrost and Ground-Ice Conditions (Brown et al., 1997). Data obtained from various sources as noted within each borehole entry. The time period varies for each borehole, but is primarily from the late 1980s to early 1990s. Observation methods include 'Standard logging', a combined natural gamma logging, electric logging and well caliper logging; 'Geothermal observations' which demonstrate the thickness of layer with the temperature below zero (data of Yakutsk Permafrost Institute, Siberian Branch, Academy of Sciences of the USSR); visual observations on ice-content in the core, and depth of appearance of fresh water table; thermologging of the boreholes (studies of 'PGO Yakutskgeologia'); and electric, well caliper and thermal logging in pioneer and exploratory oil and gas wells ('PGO Lenaneftegasgeologia' studies). The permafrost base is exposed by a number of adjacent boreholes; interval of fluctuations of permafrost depth is shown. The data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
@@ -7118,8 +7120,8 @@ GGD499_1 Borehole permafrost data, Kumtor and Taragai Valleys, Tienshan, Kazakhs
GGD503_1 Canadian Geothermal Data Collection: Deep permafrost temperatures and thickness of permafrost, Version 1 NSIDCV0 STAC Catalog 1965-01-01 1997-12-31 -151, 60, -60, 85 https://cmr.earthdata.nasa.gov/search/concepts/C1386206872-NSIDCV0.umm_json Precision temperature measurements have been made in some 150 deep wells and holes drilled in the course of natural resource exploration in the permafrost regions of Northern Canada. In most cases, holes were logged by lowering a probe containing a regions of Northern Canada. In most cases, holes were logged by lowering a probe containing a thermistor incrementally down the well, in other cases multi-thermistor cables were left in the holes and periodic measurements taken. In the 1990's, a few holes were logged by a automatic quasi- continuous logging system. Most holes were logged annually for 5-10 years after drilling completion, and measured temperatures show the disturbance due to drilling and the gradual recovery to near-undisturbed conditions. Some holes in the collection are of depth less than 125 m. Permafrost thicknesses are estimated at each well or hole from the depth of the 0 degree Celsius isotherm. This data collection provides the highest quality of permafrost temperature and permafrost thickness information available for Northern Canada. Other data are the large number of downhole temperature and permafrost thickness estimates taken during commercial well logging of petroleum exploration wells, and are by nature of lesser quality. These data are not included in this data set, but references to compilations of this data are provided. A short text (2000 words), tables of site locations and permafrost thicknesses with small-scale maps, and an extensive bibliography accompany the data collection. The file structure and contents of each file are well described. The text is sufficient to locate the data of interest, and the file description is adequate for a user to recover the parameters of interest. The data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
GGD611_1 Air Temperatures at High Altitude, Kanchanjunga Himal, Eastern Nepal, Version 1 ALL STAC Catalog 1998-11-04 1999-11-17 87.933, 27.65, 88.067, 27.8 https://cmr.earthdata.nasa.gov/search/concepts/C1386206883-NSIDCV0.umm_json This data set provides air temperature (1.5 m above ground surface) data from the Kanchanjunga Himal, eastern Nepal. Air temperature was monitored from November 1998 to November 1999 at three locations (Tengkoma, Lhonak, and Ghunsa) at altitudes of 3410, 4750 and 6012 m ASL. Although temperature was measured at one-hour intervals, only daily mean values are provided. proprietary
GGD611_1 Air Temperatures at High Altitude, Kanchanjunga Himal, Eastern Nepal, Version 1 NSIDCV0 STAC Catalog 1998-11-04 1999-11-17 87.933, 27.65, 88.067, 27.8 https://cmr.earthdata.nasa.gov/search/concepts/C1386206883-NSIDCV0.umm_json This data set provides air temperature (1.5 m above ground surface) data from the Kanchanjunga Himal, eastern Nepal. Air temperature was monitored from November 1998 to November 1999 at three locations (Tengkoma, Lhonak, and Ghunsa) at altitudes of 3410, 4750 and 6012 m ASL. Although temperature was measured at one-hour intervals, only daily mean values are provided. proprietary
-GGD622_1 Active-Layer Depth of a Finnish Palsa Bog, Version 1 ALL STAC Catalog 1993-09-08 2002-10-14 27.17, 69.82, 27.17, 69.82 https://cmr.earthdata.nasa.gov/search/concepts/C1386206889-NSIDCV0.umm_json This data set contains 76 active-layer depth measurements (cm) of the Vaisjeäggi palsa bog, Finland, from 08 September 1993 to 14 October 2002. Data were collected from a single location at 69 deg 49'16.6' N, 27 deg 10'17.1' E. Data also contain snow depth (cm) when snow cover was present. Data are in tab-delimited ASCII text format, and are available via ftp. proprietary
GGD622_1 Active-Layer Depth of a Finnish Palsa Bog, Version 1 NSIDCV0 STAC Catalog 1993-09-08 2002-10-14 27.17, 69.82, 27.17, 69.82 https://cmr.earthdata.nasa.gov/search/concepts/C1386206889-NSIDCV0.umm_json This data set contains 76 active-layer depth measurements (cm) of the Vaisjeäggi palsa bog, Finland, from 08 September 1993 to 14 October 2002. Data were collected from a single location at 69 deg 49'16.6' N, 27 deg 10'17.1' E. Data also contain snow depth (cm) when snow cover was present. Data are in tab-delimited ASCII text format, and are available via ftp. proprietary
+GGD622_1 Active-Layer Depth of a Finnish Palsa Bog, Version 1 ALL STAC Catalog 1993-09-08 2002-10-14 27.17, 69.82, 27.17, 69.82 https://cmr.earthdata.nasa.gov/search/concepts/C1386206889-NSIDCV0.umm_json This data set contains 76 active-layer depth measurements (cm) of the Vaisjeäggi palsa bog, Finland, from 08 September 1993 to 14 October 2002. Data were collected from a single location at 69 deg 49'16.6' N, 27 deg 10'17.1' E. Data also contain snow depth (cm) when snow cover was present. Data are in tab-delimited ASCII text format, and are available via ftp. proprietary
GGD623_1 Annual Thaw Depths and Water Depths in Tanana Flats, Alaska, Version 1 NSIDCV0 STAC Catalog 1995-08-01 2002-08-01 -147.9, 64.7, -147.9, 64.7 https://cmr.earthdata.nasa.gov/search/concepts/C1386206891-NSIDCV0.umm_json Thaw depths and water depths were monitored at 1 m to 2 m intervals along a 255-m transect across an area of discontinuous and degrading permafrost on the Tanana Flats south of Fairbanks, Alaska. Measurements were taken once a year in late August from 1995 to 2002 to show effects of winter snow depths, climate warming, and vegetation and wetland creation-surface subsidence. Data are in a single tab-delimited ASCII text file, available via FTP. proprietary
GGD632_1 Active-Layer and Permafrost Temperatures, Soendre Stroemfjord, Greenland, Version 1 NSIDCV0 STAC Catalog 1967-09-06 1976-02-15 50.8, 67, 50.8, 67 https://cmr.earthdata.nasa.gov/search/concepts/C1386206903-NSIDCV0.umm_json This data set contains active-layer and permafrost temperatures from two stations in Soendre Stroemfjord, Greenland. Snow depth and snow extent were also recorded. Thermometers at Station A (67 deg N, 50.8 deg W, 50 m asl) recorded temperatures once a day from September 1967 to February 1976. Thermometers at Station B (67 deg N, 50.8 deg W, 38 m asl) recorded temperatures once a day from September 1967 to August 1970; however, only bi-weekly averages are given for Station B. Data are in tab-delimited ASCII text format and are available via FTP. proprietary
GGD632_1 Active-Layer and Permafrost Temperatures, Soendre Stroemfjord, Greenland, Version 1 ALL STAC Catalog 1967-09-06 1976-02-15 50.8, 67, 50.8, 67 https://cmr.earthdata.nasa.gov/search/concepts/C1386206903-NSIDCV0.umm_json This data set contains active-layer and permafrost temperatures from two stations in Soendre Stroemfjord, Greenland. Snow depth and snow extent were also recorded. Thermometers at Station A (67 deg N, 50.8 deg W, 50 m asl) recorded temperatures once a day from September 1967 to February 1976. Thermometers at Station B (67 deg N, 50.8 deg W, 38 m asl) recorded temperatures once a day from September 1967 to August 1970; however, only bi-weekly averages are given for Station B. Data are in tab-delimited ASCII text format and are available via FTP. proprietary
@@ -7137,32 +7139,32 @@ GISS-CMIP5_1 GISS ModelE2 contributions to the CMIP5 archive NCCS STAC Catalog 0
GIS_EastAngliaClimateMonthly_551_1 Global Monthly Climatology for the Twentieth Century (New et al.) ORNL_CLOUD STAC Catalog 1900-01-01 1998-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2780535151-ORNL_CLOUD.umm_json A 0.5 degree lat/lon data set of monthly surface climate over global land areas, excluding Antarctica. Primary variables are interpolated directly from station time-series: precipitation, mean temperature and diurnal temperature range. proprietary
GLAH01_033 GLAS/ICESat L1A Global Altimetry Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.umm_json Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter. Each data granule has an associated browse product. proprietary
GLAH01_033 GLAS/ICESat L1A Global Altimetry Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547306-NSIDC_CPRD.umm_json Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter. Each data granule has an associated browse product. proprietary
-GLAH02_033 GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product. proprietary
GLAH02_033 GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547430-NSIDC_CPRD.umm_json GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product. proprietary
+GLAH02_033 GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product. proprietary
GLAH03_033 GLAS/ICESat L1A Global Engineering Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02. proprietary
GLAH03_033 GLAS/ICESat L1A Global Engineering Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.umm_json Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02. proprietary
GLAH04_033 GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.umm_json Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing. proprietary
GLAH04_033 GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547635-NSIDC_CPRD.umm_json Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing. proprietary
GLAH05_034 GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000460-NSIDC_ECS.umm_json GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization). Each data granule has an associated browse product. proprietary
GLAH05_034 GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549166-NSIDC_CPRD.umm_json GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization). Each data granule has an associated browse product. proprietary
-GLAH06_034 GLAS/ICESat L1B Global Elevation Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product. proprietary
GLAH06_034 GLAS/ICESat L1B Global Elevation Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.umm_json GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product. proprietary
+GLAH06_034 GLAS/ICESat L1B Global Elevation Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product. proprietary
GLAH07_033 GLAS/ICESat L1B Global Backscatter Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.umm_json GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data. Each data granule has an associated browse product. proprietary
GLAH07_033 GLAS/ICESat L1B Global Backscatter Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data. Each data granule has an associated browse product. proprietary
-GLAH08_033 GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.umm_json GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate). Each data granule has an associated browse product. proprietary
GLAH08_033 GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1631093696-NSIDC_ECS.umm_json GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate). Each data granule has an associated browse product. proprietary
+GLAH08_033 GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.umm_json GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate). Each data granule has an associated browse product. proprietary
GLAH09_033 GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549579-NSIDC_CPRD.umm_json GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz. Each data granule has an associated browse product. proprietary
GLAH09_033 GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991869-NSIDC_ECS.umm_json GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz. Each data granule has an associated browse product. proprietary
-GLAH10_033 GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-09-25 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product. proprietary
GLAH10_033 GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-09-25 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.umm_json GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product. proprietary
+GLAH10_033 GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-09-25 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product. proprietary
GLAH11_033 GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991871-NSIDC_ECS.umm_json GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product. proprietary
GLAH11_033 GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549738-NSIDC_CPRD.umm_json GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product. proprietary
GLAH12_034 GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH12_034 GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH13_034 GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH13_034 GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
-GLAH14_034 GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000443-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH14_034 GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153551318-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
+GLAH14_034 GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000443-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH15_034 GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH15_034 GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLCHMK_001 G-LiHT Canopy Height Model KML V001 LPCLOUD STAC Catalog 2011-06-30 -170, 10, -50, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2763264695-LPCLOUD.umm_json Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT(https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Canopy Height Model Keyhole Markup Language (KML) data product (GLCHMK) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed. GLCHMK data are processed as a Google Earth overlay KML file at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format. proprietary
@@ -7230,12 +7232,12 @@ GMAO_M2SCREAM_INST3_CHEM_1 M2-SCREAM: 3d,3-Hourly,Instantaneous,Model-Level,Assi
GMAO_M2SCREAM_MONTH_UNCERT_1 M2-SCREAM: Monthly,Model-Level,Assimilated Constituent Fields uncertainties GES_DISC STAC Catalog 2004-09-01 2024-09-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2311994359-GES_DISC.umm_json The MERRA-2 Stratospheric Composition Reanalysis of Aura MLS (M2-SCREAM) products produced at NASA’s Global Modeling and Assimilation Office (GMAO) are generated by assimilating MLS and OMI retrievals into the GEOS Constituent Data Assimilation System (CoDAS) driven by meteorological fields from MERRA-2. M2-SCREAM assimilates hydrochloric acid (HCl), nitric acid (HNO3), stratospheric water vapor (H2O), nitrous oxide (N2O) and ozone with a system equipped with a version of the GEOS general circulation model and a stratospheric chemistry model, StratChem. Assimilated fields are provided globally at 0.5° by 0.625° resolution at three-hourly frequencies from 2004/09/01 to 2024/09/30. Assimilation uncertainties for each of the assimilated constituents are calculated from the CoDAS statistical output (Wargan et al., 2022) and provided as global full-resolution three-dimensional monthly files. Data product updates in March 2024, as a result of Aura MLS “duty cycle” of 190-GHz measurements, include reduced availability of H2O, N2O and HNO3 retrievals resulting in expected M2-SCREAM data quality degradation. However, preliminary analysis shows that the GEOS CoDAS handles the reduced temporal data coverage well, indicating that the GEOS model accurately propagates information from past observations. Data product updates in June 2024 resulting from MLS version upgrade to v5.0 include discontinuities in assimilated H2O (throughout the stratosphere) and N2O (in the lower stratosphere). To note: MLS water vapor is about 0.5 ppmv lower in v5.0, and the vertical range of assimilated N2O data is 100 hPa, extended down from 68 hPa. GMAO is not aware of discontinuities in HCl, HNO3, and ozone related to the version switch. proprietary
GMI-REMSS-L3U-v8.2a_8.2a GHRSST Level 3U Global Subskin Sea Surface Temperature from GMI onboard GPM satellite POCLOUD STAC Catalog 2014-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036877762-POCLOUD.umm_json The Global Precipitation Measurement (GPM) satellite was launched on February 27th, 2014 with the GPM Microwave Imager (GMI) instrument on board. The GPM mission is a joint effort between NASA, the Japan Aerospace Exploration Agency (JAXA) and other international partners. In march 2005, NASA has chosen the Ball Aerospace and Technologies Corp., Boulder, Colorado to build the GMI instrument on the continued success of the Tropical Rainfall Measuring Mission (TRMM) satellite by expanding current coverage of precipitation from the tropics to the entire world. GMI is a dual-polarization, multi-channel, conical-scanning, passive microwave radiometer with frequent revisit times. One of the primary differences between GPM and other satellites with microwave radiometers is the orbit, which is inclined 65 degrees, allowing a full sampling of all local Earth times repeated approximately every 2 weeks. The GPM platform undergoes yaw maneuvers approximately every 40 days to compensate for the sun's changing position and prevent the side of the spacecraft facing the sun from overheating. Today, the GMI instrument plays an essential role in the worldwide measurement of precipitation and environmental forecasting. Sea Surface Temperature (SST) is one of its major products. The GMI data from the Remote Sensing System (REMSS) have been produced using an updated RTM, Version-8. The V8 brightness temperatures from GMI are slightly different from the V7 brightness temperatures; The SST datasets are available in near-real time (NRT) as they arrive, with a delay of about 3 to 6 hours, including the Daily, 3-Day, Weekly, and Monthly time series products. proprietary
GNATS_0 Gulf of Maine North Atlantic Time Series (GNATS) OB_DAAC STAC Catalog 2001-06-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360260-OB_DAAC.umm_json The Gulf of Maine (GoM) is a highly productive shelf sea that constitutes a large part of the N.E. US Continental Shelf. We have run a time series across the GoM for the last 8 years known as GNATS (Gulf of Maine North Atlantic Time Series). It consists of monthly, cross-Gulf sampling on ships of opportunity, during clear-sky days, so that we are assured concurrent measurements from ship and satellite (ocean color, SST). The power of this strategy is seen in our 95% success rate for being at sea during clear, high quality overpasses (randomly, one would expect a success rate of ~10% due to the GoM cloud climatology). We then can extrapolate our large shipboard data set of carbon cycle parameters to regional scales using synoptic remote sensing. GNATS includes a suite of carbon-specific standing stocks and rate measurements (e.g. POC, PIC [calcite], DOC, primary productivity, and calcification) plus hydrographic, chemical and optical measurements. Through coordinated ship/satellite measurements, we can constrain the major carbon production terms of the Gulf, follow their monthly variation using synoptic remote sensing, and regionally tune satellite algorithms. GNATS documents not only marine carbon pools, but it includes carbon supplied from the terrestrial watershed; this is why the Gulf is optically-dominated by Case II waters. We propose to A) continue GNATS, coordinated ship and satellite measurements for another 3 years, B) provide monthly, regional estimates of the standing stock and production terms for the various particulate and dissolved carbon fractions based on satellite ocean color observations and C) perform a statistical comparison of photoadaptive parameters in the Mid-Atlantic Bight and GoM to examine how broadly we can extrapolate these results along the NE U.S. Continental Shelf. Deliverables of this work will be: ship-based quantification of the various components of the carbon cycle in the GoM (standing stocks of POC, PIC, DOC plus primary production/calcification rates), an improved DOC algorithm, tuning of satellite carbon algorithms for the NE Continental Shelf, and documentation of the long- term biogeochemical and ecological changes occurring in the GoM carbon cycle. Quantification of the variability in the composition and concentration of dissolved and particulate carbon over a wide range of temporal and spatial scales is the first step towards understanding the role of coastal ecosystems in the global carbon cycle. proprietary
-GNVd0188_104 30 arc-second DEM for Africa CEOS_EXTRA STAC Catalog 1996-07-23 1996-07-23 -20, -35, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848851-CEOS_EXTRA.umm_json PLEASE NOTE: This is an updated release of the Africa 30 arc second DEM. Comments from users of this data set are welcome. Please contact Dean Gesch (gesch@dg1.cr.usgs.gov) or Sue Jenson (jenson@dg1.cr.usgs.gov). A digital elevation model (DEM) consists of a sampled array of elevations for ground positions that are normally spaced at regular intervals. To meet the needs of the geospatial data user community for regional and continental scale elevation data, the staff at the U.S. Geological Survey's EROS Data Center (EDC) are developing DEM's at a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer). These data are being made available to the public via electronic distribution and hard media. As of July, 1996 data are available for Africa, Antarctica, Asia, Europe, and North America. Data sets for South America, Australia, New Zealand, the islands of southeast Asia, and Greenland are under development and are scheduled for release before the end of 1996. proprietary
GNVd0188_104 30 arc-second DEM for Africa ALL STAC Catalog 1996-07-23 1996-07-23 -20, -35, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848851-CEOS_EXTRA.umm_json PLEASE NOTE: This is an updated release of the Africa 30 arc second DEM. Comments from users of this data set are welcome. Please contact Dean Gesch (gesch@dg1.cr.usgs.gov) or Sue Jenson (jenson@dg1.cr.usgs.gov). A digital elevation model (DEM) consists of a sampled array of elevations for ground positions that are normally spaced at regular intervals. To meet the needs of the geospatial data user community for regional and continental scale elevation data, the staff at the U.S. Geological Survey's EROS Data Center (EDC) are developing DEM's at a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer). These data are being made available to the public via electronic distribution and hard media. As of July, 1996 data are available for Africa, Antarctica, Asia, Europe, and North America. Data sets for South America, Australia, New Zealand, the islands of southeast Asia, and Greenland are under development and are scheduled for release before the end of 1996. proprietary
-GNVd0189_104 30 arc-second DEM for Antarctica CEOS_EXTRA STAC Catalog 1996-07-17 1996-07-17 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2232848315-CEOS_EXTRA.umm_json "PLEASE NOTE: This is a beta release of the Antarctica DEM. If any data anomalies are noticed, please send an E-mail to either Mike Oimoen at: oimoen@dgl.cr.usgs.gov, or Sue Jenson at: jenson@dg1.cr.usgs.gov. We will look into them, and they may be addressed in the next release. The Antarctica data is provided in two projections. Antarctic DEM in geographic (lat/lon) coordinates: 30 arc-second spacing -ant_dem_lkms1 UL = 180 W, 60S. LR = 90W, 90S (3600 rows x 10800 columns) -ant_dem_lkms2 UL = 90 W, 60S. LR = 0W, 90S (3600 rows x 10800 columns) -ant_dem_1kms3 UL = 0 W, 60S. LR = 90E, 90S (3600 rows x 10800 columns) -ant_dem_1kms4 UL = 90 E, 60S. LR = 180E, 90S (3600 rows x 10800 columns) Antarctic DEM in polar stereographic coordinates (meters) -ant_dem_1kmps UL = -2700000 x 2699000. LR = 2699000 x -2700000 (5400 rows x 5400 columns) Note: Both DEMs are referenced to the WGS84 ellipsoid. The standard latitude of the polar stereographic DEM is 71S, and it central meridian is 0. Data Organization: Data are distributed as 16-bit straight raster image files in a latitude/ longitude coordinate system, and also in a polar stereographic coordinate system. Image files are identified by the .bil.gz extension. Each image file of the Antarctica data set is compressed using the GNU ""gzip"" utility. If you do not have access to gzip, the FTP server will uncompress the file as you retrieve it. To do this, simply leave off the "".gz"" extension when retrieving the file (NOTE: This option is not available through MOSAIC). For example, to retrieve the file ""af_1k_dem1.bil.gz"" without compression just use ""get af_dem_lks1.bil"". Note that the uncompressed files are typically five times larger than the compressed versions and so will take five times longer to transmit. The gzip program is available via anonymous FTP at the following sites: prep.ai.mit.edu:/pub/gnuwuarchive.wustl.edu:/systems/gnu Each image file is accompanied by five ancillary files (header file, world file, statistics file, coordinate file, and data descriptor record ). The format of each ancillary file is described below:" proprietary
+GNVd0188_104 30 arc-second DEM for Africa CEOS_EXTRA STAC Catalog 1996-07-23 1996-07-23 -20, -35, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848851-CEOS_EXTRA.umm_json PLEASE NOTE: This is an updated release of the Africa 30 arc second DEM. Comments from users of this data set are welcome. Please contact Dean Gesch (gesch@dg1.cr.usgs.gov) or Sue Jenson (jenson@dg1.cr.usgs.gov). A digital elevation model (DEM) consists of a sampled array of elevations for ground positions that are normally spaced at regular intervals. To meet the needs of the geospatial data user community for regional and continental scale elevation data, the staff at the U.S. Geological Survey's EROS Data Center (EDC) are developing DEM's at a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer). These data are being made available to the public via electronic distribution and hard media. As of July, 1996 data are available for Africa, Antarctica, Asia, Europe, and North America. Data sets for South America, Australia, New Zealand, the islands of southeast Asia, and Greenland are under development and are scheduled for release before the end of 1996. proprietary
GNVd0189_104 30 arc-second DEM for Antarctica ALL STAC Catalog 1996-07-17 1996-07-17 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2232848315-CEOS_EXTRA.umm_json "PLEASE NOTE: This is a beta release of the Antarctica DEM. If any data anomalies are noticed, please send an E-mail to either Mike Oimoen at: oimoen@dgl.cr.usgs.gov, or Sue Jenson at: jenson@dg1.cr.usgs.gov. We will look into them, and they may be addressed in the next release. The Antarctica data is provided in two projections. Antarctic DEM in geographic (lat/lon) coordinates: 30 arc-second spacing -ant_dem_lkms1 UL = 180 W, 60S. LR = 90W, 90S (3600 rows x 10800 columns) -ant_dem_lkms2 UL = 90 W, 60S. LR = 0W, 90S (3600 rows x 10800 columns) -ant_dem_1kms3 UL = 0 W, 60S. LR = 90E, 90S (3600 rows x 10800 columns) -ant_dem_1kms4 UL = 90 E, 60S. LR = 180E, 90S (3600 rows x 10800 columns) Antarctic DEM in polar stereographic coordinates (meters) -ant_dem_1kmps UL = -2700000 x 2699000. LR = 2699000 x -2700000 (5400 rows x 5400 columns) Note: Both DEMs are referenced to the WGS84 ellipsoid. The standard latitude of the polar stereographic DEM is 71S, and it central meridian is 0. Data Organization: Data are distributed as 16-bit straight raster image files in a latitude/ longitude coordinate system, and also in a polar stereographic coordinate system. Image files are identified by the .bil.gz extension. Each image file of the Antarctica data set is compressed using the GNU ""gzip"" utility. If you do not have access to gzip, the FTP server will uncompress the file as you retrieve it. To do this, simply leave off the "".gz"" extension when retrieving the file (NOTE: This option is not available through MOSAIC). For example, to retrieve the file ""af_1k_dem1.bil.gz"" without compression just use ""get af_dem_lks1.bil"". Note that the uncompressed files are typically five times larger than the compressed versions and so will take five times longer to transmit. The gzip program is available via anonymous FTP at the following sites: prep.ai.mit.edu:/pub/gnuwuarchive.wustl.edu:/systems/gnu Each image file is accompanied by five ancillary files (header file, world file, statistics file, coordinate file, and data descriptor record ). The format of each ancillary file is described below:" proprietary
-GNVd0190_104 30 arc-second DEM for Europe CEOS_EXTRA STAC Catalog 1995-09-22 1995-09-22 -25, 35, 22, 85 https://cmr.earthdata.nasa.gov/search/concepts/C2232848511-CEOS_EXTRA.umm_json The European 30 arc-second DEM was compiled from varied data sources. The primary source was a generalization of the Level 1 Digital Terrain Elevation Data. Digital Terrain Elevation Data (DTED) is a 1 degree by 1 degree dataset produced by the US Defense Mapping Agency (DMA) that contains digital data in the form of a uniform matrix of terrain elevation values for most parts of the world. It was originally designed to provide basic quantitative data for military training, planning and operating systems that require terrain elevation, slope and related information. This includes applications such as modeling the influence of terrain on radar line-of-sight, automatic height determination, terrain modeling etc. proprietary
+GNVd0189_104 30 arc-second DEM for Antarctica CEOS_EXTRA STAC Catalog 1996-07-17 1996-07-17 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2232848315-CEOS_EXTRA.umm_json "PLEASE NOTE: This is a beta release of the Antarctica DEM. If any data anomalies are noticed, please send an E-mail to either Mike Oimoen at: oimoen@dgl.cr.usgs.gov, or Sue Jenson at: jenson@dg1.cr.usgs.gov. We will look into them, and they may be addressed in the next release. The Antarctica data is provided in two projections. Antarctic DEM in geographic (lat/lon) coordinates: 30 arc-second spacing -ant_dem_lkms1 UL = 180 W, 60S. LR = 90W, 90S (3600 rows x 10800 columns) -ant_dem_lkms2 UL = 90 W, 60S. LR = 0W, 90S (3600 rows x 10800 columns) -ant_dem_1kms3 UL = 0 W, 60S. LR = 90E, 90S (3600 rows x 10800 columns) -ant_dem_1kms4 UL = 90 E, 60S. LR = 180E, 90S (3600 rows x 10800 columns) Antarctic DEM in polar stereographic coordinates (meters) -ant_dem_1kmps UL = -2700000 x 2699000. LR = 2699000 x -2700000 (5400 rows x 5400 columns) Note: Both DEMs are referenced to the WGS84 ellipsoid. The standard latitude of the polar stereographic DEM is 71S, and it central meridian is 0. Data Organization: Data are distributed as 16-bit straight raster image files in a latitude/ longitude coordinate system, and also in a polar stereographic coordinate system. Image files are identified by the .bil.gz extension. Each image file of the Antarctica data set is compressed using the GNU ""gzip"" utility. If you do not have access to gzip, the FTP server will uncompress the file as you retrieve it. To do this, simply leave off the "".gz"" extension when retrieving the file (NOTE: This option is not available through MOSAIC). For example, to retrieve the file ""af_1k_dem1.bil.gz"" without compression just use ""get af_dem_lks1.bil"". Note that the uncompressed files are typically five times larger than the compressed versions and so will take five times longer to transmit. The gzip program is available via anonymous FTP at the following sites: prep.ai.mit.edu:/pub/gnuwuarchive.wustl.edu:/systems/gnu Each image file is accompanied by five ancillary files (header file, world file, statistics file, coordinate file, and data descriptor record ). The format of each ancillary file is described below:" proprietary
GNVd0190_104 30 arc-second DEM for Europe ALL STAC Catalog 1995-09-22 1995-09-22 -25, 35, 22, 85 https://cmr.earthdata.nasa.gov/search/concepts/C2232848511-CEOS_EXTRA.umm_json The European 30 arc-second DEM was compiled from varied data sources. The primary source was a generalization of the Level 1 Digital Terrain Elevation Data. Digital Terrain Elevation Data (DTED) is a 1 degree by 1 degree dataset produced by the US Defense Mapping Agency (DMA) that contains digital data in the form of a uniform matrix of terrain elevation values for most parts of the world. It was originally designed to provide basic quantitative data for military training, planning and operating systems that require terrain elevation, slope and related information. This includes applications such as modeling the influence of terrain on radar line-of-sight, automatic height determination, terrain modeling etc. proprietary
+GNVd0190_104 30 arc-second DEM for Europe CEOS_EXTRA STAC Catalog 1995-09-22 1995-09-22 -25, 35, 22, 85 https://cmr.earthdata.nasa.gov/search/concepts/C2232848511-CEOS_EXTRA.umm_json The European 30 arc-second DEM was compiled from varied data sources. The primary source was a generalization of the Level 1 Digital Terrain Elevation Data. Digital Terrain Elevation Data (DTED) is a 1 degree by 1 degree dataset produced by the US Defense Mapping Agency (DMA) that contains digital data in the form of a uniform matrix of terrain elevation values for most parts of the world. It was originally designed to provide basic quantitative data for military training, planning and operating systems that require terrain elevation, slope and related information. This includes applications such as modeling the influence of terrain on radar line-of-sight, automatic height determination, terrain modeling etc. proprietary
GO-BGC_0 Global Ocean Biogeochemistry Array OB_DAAC STAC Catalog 2021-03-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2431253176-OB_DAAC.umm_json The Global Ocean Biogeochemistry (GO-BGC) Array is a project funded by the US National Science Foundation (NSF Award 1946578 ) to build a global network of chemical and biological sensors that will monitor ocean health. This grant is being used to build and deploy 500 robotic ocean-monitoring floats around the globe as part of NSF’s Mid-scale Research Infrastructure-2 program. This network of floats is collecting data on the chemistry and the biology of the ocean from the surface to a depth of 2,000 meters, augmenting the existing Argo array that monitors ocean temperature and salinity. The GO-BGC Array is led by Director Ken Johnson and administered by the Monterey Bay Aquarium Research Institute. For questions specific to the HPLC/POC/PON data submitted to SeaBASS please contact Josh Plant at jplant@mbari.org. proprietary
GO-SHIP_0 Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) OB_DAAC STAC Catalog 2016-11-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360348-OB_DAAC.umm_json Measurements from the GO-SHIP (Global Ocean Ship-based Hydrographic Investigations Program) project, which is a network of sustained hydrographic sections, supporting physical oceanography, the carbon cycle, and marine biogeochemistry and ecosystems. proprietary
GOA97_0 Gulf of Alaska measurements in 1997 OB_DAAC STAC Catalog 1997-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360262-OB_DAAC.umm_json Measurements taken in the Gulf of Alaska during 1997. proprietary
@@ -7494,8 +7496,8 @@ GPM_PRL1KA_07 GPM DPR Ka-band Received Power L1B 1.5 hours 5 km V07 (GPM_PRL1KA)
GPM_PRL1KU_07 GPM DPR Ku-band Received Power L1B 1.5 hours 5 km V07 (GPM_PRL1KU) at GES DISC GES_DISC STAC Catalog 2014-03-08 -180, -70, 180, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2179064680-GES_DISC.umm_json "Version 07 is the current version of the data set. Older versions are no longer available and have been superseded by Version 07. This product contains the calibrated received power from the Ku-band Radar of the Dual-frequency Precipitation Radar (DPR) aboard the core satellite of the Global Precipitation Measurement (GPM) mission. The Ku-radar scan pattern is simpler than that of the Ka-band Radar, and is similar to the TRMM PR. It only has ""Normal Scan"" (NS) swath consisting of 49 footprints cross-track in a scan and the footprint size is about 5 km in diameter. The scan swath is 245 km. " proprietary
GPP_CONUS_TROPOMI_1875_1 CMS: Daily Gross Primary Productivity over CONUS from TROPOMI SIF, 2018-2021 ORNL_CLOUD STAC Catalog 2018-02-15 2021-10-15 -125, 24, -65, 50 https://cmr.earthdata.nasa.gov/search/concepts/C2390701035-ORNL_CLOUD.umm_json This dataset includes estimates of gross primary production (GPP) for the conterminous U.S., for 2018-02-15 to 2021-10-15, based on measurements of solar-induced chlorophyll fluorescence from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5P satellite platform. GPP was estimated from rates of photosynthesis inferred from SIF using a linear model and ecosystem scaling factors from 102 AmeriFlux sites. Knowledge of the spatiotemporal patterns of GPP is necessary for understanding regional and global carbon budgets. Broad-scale estimates of GPP have typically relied upon carbon cycle models linking spatial patterns of vegetation with remotely sensed environmental data. SIF provides a means to directly estimate photosynthetic activity, and therefore, GPP. Recent deployments of satellite platforms that measure SIF provide near-real-time measurements and represent a breakthrough in measuring GPP on a global scale. Regular SIF measurements can detect spatially explicit ecosystem-level responses to climate events such as drought and flooding. This dataset includes spatially explicit estimates of GPP (g m-2 d-1), uncertainty in GPP, and related TROPOMI SIF measurements (mW m-2 sr-1 nm-1) at 500-m resolution. The data are provided in NetCDF format. proprietary
GPP_COS_Conductance_SoilFluxes_2324_1 SiB4 Modeled 0.5-degree Carbonyl Sulfide Vegetation and Soil Fluxes, 2000-2020 ORNL_CLOUD STAC Catalog 2000-01-01 2020-12-31 -180, 53, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3293388915-ORNL_CLOUD.umm_json This dataset provides outputs from the Simple Biosphere Model (v 4.2). Products include hourly 0.5-degree gridded fluxes of gross primary productivity (GPP), respiration, carbonyl sulfide (COS) uptake by vegetation and soil, along with conductance of COS (apparent mesophyll and total), stomatal conductance of water and partial pressure of CO2 in the canopy air space, leaf surface, interior and chloroplast. The data are separated by plant functional type (PFT). Fluxes have dimensions of latitude, longitude, time, and plant functional type. Model output spans 53N to 90N latitude and 180W to 180E longitude over years 2000 to 2020. The data are provided in NetCDF version 4 format. proprietary
-GPP_MODIS_Alaska_Canada_2024_1 ABoVE: Light-Curve Modelling of Gridded GPP Using MODIS MAIAC and Flux Tower Data ORNL_CLOUD STAC Catalog 2000-01-01 2018-01-01 -172.08, 50.06, -73.64, 79.75 https://cmr.earthdata.nasa.gov/search/concepts/C2445456434-ORNL_CLOUD.umm_json This dataset contains gridded estimations of daily ecosystem Gross Primary Production (GPP) in grams of carbon per day at a 1 km2 spatial resolution over Alaska and Canada from 2000-01-01 to 2018-01-01. Daily estimates of GPP were derived from a light-curve model that was fitted and validated over a network of ABoVE domain Ameriflux flux towers then upscaled using MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) data to span the extended ABoVE domain. In general, the methods involved three steps; the first step involved collecting and processing mainly carbon-flux site-level data, the second step involved the analysis and correction of site-level MAIAC data, and the final step developed a framework to produce large-scale estimates of GPP. The light-curve parameter model was generated by upscaling from flux tower sub-daily temporal resolution by deconvolving the GPP variable into 3 components: the absorbed photosynthetically active radiation (aPAR), the maximum GPP or maximum photosynthetic capacity (GPPmax), and the photosynthetic limitation or amount of light needed to reach maximum capacity (PPFDmax). GPPmax and PPFDmax were related to satellite reflectance measurements sampled at the daily scale. GPP over the extended ABoVE domain was estimated at a daily resolution from the light-curve parameter model using MODIS MAIAC daily reflectance as input. This framework allows large-scale estimates of phenology and evaluation of ecosystem sensitivity to climate change. proprietary
GPP_MODIS_Alaska_Canada_2024_1 ABoVE: Light-Curve Modelling of Gridded GPP Using MODIS MAIAC and Flux Tower Data ALL STAC Catalog 2000-01-01 2018-01-01 -172.08, 50.06, -73.64, 79.75 https://cmr.earthdata.nasa.gov/search/concepts/C2445456434-ORNL_CLOUD.umm_json This dataset contains gridded estimations of daily ecosystem Gross Primary Production (GPP) in grams of carbon per day at a 1 km2 spatial resolution over Alaska and Canada from 2000-01-01 to 2018-01-01. Daily estimates of GPP were derived from a light-curve model that was fitted and validated over a network of ABoVE domain Ameriflux flux towers then upscaled using MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) data to span the extended ABoVE domain. In general, the methods involved three steps; the first step involved collecting and processing mainly carbon-flux site-level data, the second step involved the analysis and correction of site-level MAIAC data, and the final step developed a framework to produce large-scale estimates of GPP. The light-curve parameter model was generated by upscaling from flux tower sub-daily temporal resolution by deconvolving the GPP variable into 3 components: the absorbed photosynthetically active radiation (aPAR), the maximum GPP or maximum photosynthetic capacity (GPPmax), and the photosynthetic limitation or amount of light needed to reach maximum capacity (PPFDmax). GPPmax and PPFDmax were related to satellite reflectance measurements sampled at the daily scale. GPP over the extended ABoVE domain was estimated at a daily resolution from the light-curve parameter model using MODIS MAIAC daily reflectance as input. This framework allows large-scale estimates of phenology and evaluation of ecosystem sensitivity to climate change. proprietary
+GPP_MODIS_Alaska_Canada_2024_1 ABoVE: Light-Curve Modelling of Gridded GPP Using MODIS MAIAC and Flux Tower Data ORNL_CLOUD STAC Catalog 2000-01-01 2018-01-01 -172.08, 50.06, -73.64, 79.75 https://cmr.earthdata.nasa.gov/search/concepts/C2445456434-ORNL_CLOUD.umm_json This dataset contains gridded estimations of daily ecosystem Gross Primary Production (GPP) in grams of carbon per day at a 1 km2 spatial resolution over Alaska and Canada from 2000-01-01 to 2018-01-01. Daily estimates of GPP were derived from a light-curve model that was fitted and validated over a network of ABoVE domain Ameriflux flux towers then upscaled using MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) data to span the extended ABoVE domain. In general, the methods involved three steps; the first step involved collecting and processing mainly carbon-flux site-level data, the second step involved the analysis and correction of site-level MAIAC data, and the final step developed a framework to produce large-scale estimates of GPP. The light-curve parameter model was generated by upscaling from flux tower sub-daily temporal resolution by deconvolving the GPP variable into 3 components: the absorbed photosynthetically active radiation (aPAR), the maximum GPP or maximum photosynthetic capacity (GPPmax), and the photosynthetic limitation or amount of light needed to reach maximum capacity (PPFDmax). GPPmax and PPFDmax were related to satellite reflectance measurements sampled at the daily scale. GPP over the extended ABoVE domain was estimated at a daily resolution from the light-curve parameter model using MODIS MAIAC daily reflectance as input. This framework allows large-scale estimates of phenology and evaluation of ecosystem sensitivity to climate change. proprietary
GPP_surfaces_749_1 BigFoot GPP Surfaces for North and South American Sites, 2000-2004 ORNL_CLOUD STAC Catalog 2000-01-01 2004-12-31 -156.61, -2.86, -54.96, 71.27 https://cmr.earthdata.nasa.gov/search/concepts/C2751481399-ORNL_CLOUD.umm_json The BigFoot project gathered Gross Primary Production (GPP) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2004. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. BigFoot was funded by NASA's Terrestrial Ecology Program.For more details on the BigFoot Project, please visit the website: http://www.fsl.orst.edu/larse/bigfoot/index.html. proprietary
GPROF_precip_716_1 SAFARI 2000 SSM/I GPROF 6.0 Precipitation Data, 0.5-Deg, 1999-2001 ORNL_CLOUD STAC Catalog 1999-01-01 2001-12-31 5, -35, 60, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2788392368-ORNL_CLOUD.umm_json The GPROF 6.0 Pentads data set contains 5-day (pentad) averages of the GPROF 6.0 Gridded Orbits. The GPROF(Goddard Profiling Algorithm) data set contains a suite of 9 products providing instantaneous, gridded values of precipitation totals for each granule of the SSM/I (Special Sensor Microwave/Imager) data over the roughly 14-year period July 1987 through the present. Even though there have been at least two satellites for the entire period, sampling is sufficiently sparse that the data are averaged for pentads, then the pentads are smoothed with a 1-2-3-2-1 time-weighting. The last two pentads are unevenly weighted since the last (or last two) pentads in the average are not yet available. Consequently, the last two pentads must be recomputed when the next pentad becomes available.The data set prepared for SAFARI cover the years 1999, 2000, and 2001.The main refereed citations for the data set are Kummerow et al. (1996)and Olson et al. (1999) proprietary
GPR_MACCA_ANARE53_1 Ground Penetrating Radar data collected at Macquarie Island at the Station, tip and transmitter hut sites AU_AADC STAC Catalog 2000-11-11 2000-11-13 158.76, -54.79, 158.965, -54.48 https://cmr.earthdata.nasa.gov/search/concepts/C1214308576-AU_AADC.umm_json GPR data collected at Macquarie Island at three locations, at the station area, above the abandoned tip and around the ionosonde hut. The instrument used was Ramac GPR with 250 MHz antennas. The station data are positioned, the other two data sets are not, only description of location is available. Data are in .rad and .rd3 format. proprietary
@@ -7542,8 +7544,8 @@ GSI_ABSOLUT_GRAVITY_ANT Absolute gravity measurement ALL STAC Catalog 1992-01-01
GSI_ABSOLUT_GRAVITY_ANT Absolute gravity measurement SCIOPS STAC Catalog 1992-01-01 39.5, -69, 39.5, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214590222-SCIOPS.umm_json The IAGBN aims to distribute gravity points worldwide and construct a network on which gravity observation is based. There are two kinds of points: A is a point set up in regions with stable crustal structure, and B is a point set up in regions where crustal activity is expected. Syowa Station in Antarctica was among the 36 A points. McMurdo Station of the U.S. is the only point in Antarctica other than Syowa Station that is classified as A. Introduced GSI in 1980, the upcast-type absolute gravity meter (GA60) generally called the Sakuma type, was used in this survey. The 36th JARE (1994) conducted observation using FG5 that the GSI introduced in 1992. Because FG5 measures gravity in a free-fall system, it is characterized by the ability to conduct automatic continuous measurement and allow for many measurements. proprietary
GSI_JARE_TOPOMAPS 1:50,000 Topographic maps from Japan Antarctic Research Expedition (JARE) ALL STAC Catalog 1989-04-01 23, -73, 28, -72 https://cmr.earthdata.nasa.gov/search/concepts/C1214610482-SCIOPS.umm_json The data set consists of 1:50,000 topographic maps which cover most areas of the Sor-Rondane Mountains, with 21 sheets. The contour interval is 20 m. All maps have been digitalized into raster data and are available in TIFF format. proprietary
GSI_JARE_TOPOMAPS 1:50,000 Topographic maps from Japan Antarctic Research Expedition (JARE) SCIOPS STAC Catalog 1989-04-01 23, -73, 28, -72 https://cmr.earthdata.nasa.gov/search/concepts/C1214610482-SCIOPS.umm_json The data set consists of 1:50,000 topographic maps which cover most areas of the Sor-Rondane Mountains, with 21 sheets. The contour interval is 20 m. All maps have been digitalized into raster data and are available in TIFF format. proprietary
-GSJ-DAM Aeromagnetic Reconnaissance Survey Data ALL STAC Catalog 1964-01-01 123, 24, 145, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1214608183-SCIOPS.umm_json The Geological Survey of Japan has carried out developments on the exploration and analysis techniques in aeromagnetic survey since 1964, when the research on aeromagnetic exploration was begun on full scale. And since 1969, explorations for various purposes as well as investigations for assessing the deposit of hydrocarbon resources in the continental shelf area surrounding Japan have been carried out. The results were already published as the Aerial Aeromagnetic Map series, and the data were stored in magnetic media in the form of file groups with unified formats. proprietary
GSJ-DAM Aeromagnetic Reconnaissance Survey Data SCIOPS STAC Catalog 1964-01-01 123, 24, 145, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1214608183-SCIOPS.umm_json The Geological Survey of Japan has carried out developments on the exploration and analysis techniques in aeromagnetic survey since 1964, when the research on aeromagnetic exploration was begun on full scale. And since 1969, explorations for various purposes as well as investigations for assessing the deposit of hydrocarbon resources in the continental shelf area surrounding Japan have been carried out. The results were already published as the Aerial Aeromagnetic Map series, and the data were stored in magnetic media in the form of file groups with unified formats. proprietary
+GSJ-DAM Aeromagnetic Reconnaissance Survey Data ALL STAC Catalog 1964-01-01 123, 24, 145, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1214608183-SCIOPS.umm_json The Geological Survey of Japan has carried out developments on the exploration and analysis techniques in aeromagnetic survey since 1964, when the research on aeromagnetic exploration was begun on full scale. And since 1969, explorations for various purposes as well as investigations for assessing the deposit of hydrocarbon resources in the continental shelf area surrounding Japan have been carried out. The results were already published as the Aerial Aeromagnetic Map series, and the data were stored in magnetic media in the form of file groups with unified formats. proprietary
GSMNP_Vegetation_Structure_R1_1286_1.2 LiDAR-derived Vegetation Canopy Structure, Great Smoky Mountains National Park, 2011 ORNL_CLOUD STAC Catalog 2011-02-01 2011-04-30 -84.05, 35.38, -82.96, 35.87 https://cmr.earthdata.nasa.gov/search/concepts/C2773213452-ORNL_CLOUD.umm_json This dataset provides multiple-return LiDAR-derived vegetation canopy structure at 30-meter spatial resolution for the Great Smoky Mountains National Park (GSMNP). Canopy characteristics were analyzed using high resolution three-dimensional point cloud measurements gathered between February-April 2011 for Tennessee and during March-April 2005 for North Carolina sections of the park. Vegetation types were mapped by grouping areas of similar canopy structure. The map was compared and validated against existing vegetation maps for the park. proprietary
GSMaP_Hourly_NA GSMaP(Hourly) JAXA STAC Catalog 1998-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2698130077-JAXA.umm_json GSMaP Hourly dataset is obtained from the Dual-frequency Precipitation Radar (DPR) sensor onboard Global Precipitation Measurement (GPM), other GPM constellation satellites, and Geostationary satellites produced by the Japan Aerospace Exploration Agency (JAXA).The GSMaP is generated based on a multi-satellite algorithm under the GPM mission, and the accuracy has been improved by DPR data and information. It offers a map of global precipitation by combining: estimated precipitation based on multiple microwave radiometers (imager/sounder) and cloud moving information obtained from geostationary infrared (IR) data.The GSMaP algorithm can be roughly divided into the following three algorithms: microwave imager (MWI) algorithm, microwave sounder (MWS) algorithm, and microwave-Infrared (IR) combined (MVK) algorithm. A global satellite mapping of precipitation can be subject to standard processing or near real-time processing.In standard processing, hourly observation data is processed then the data is averaged monthly. Near real-time processing provides a higher data frequency than standard processing (every hour). The provided formats are HDF5, text, GeoTIFF and NetCDF. The Sampling resolution is 0.1 degree grid. The projection method is EQR.The statistical period is 1 hourly. The current version of the product is Version 5. The Version 4 is also available. The generation unit is global. proprietary
GSMaP_Monthly_NA GSMaP(Monthly) JAXA STAC Catalog 1998-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214561161-JAXA.umm_json GSMaP Monthly dataset is obtained from the Dual-frequency Precipitation Radar (DPR) sensor onboard Global Precipitation Measurement (GPM), other GPM constellation satellites, and Geostationary satellites produced by the Japan Aerospace Exploration Agency (JAXA). The GSMaP is generated based on a multi-satellite algorithm under the GPM mission, and the accuracy has been improved by DPR data and information. It offers a map of global precipitation by combining: estimated precipitation based on multiple microwave radiometers (imager/sounder) and cloud moving information obtained from geostationary infrared (IR) data.The GSMaP algorithm can be roughly divided into the following three algorithms: microwave imager (MWI) algorithm, microwave sounder (MWS) algorithm, and microwave-Infrared (IR) combined (MVK) algorithm. A global satellite mapping of precipitation can be subject to standard processing or near real-time processing. In standard processing, hourly observation data is processed and data is averaged monthly. Near real-time processing provides a higher data frequency than standard processing (every hour).The provided format is HDF5, GeoTIFF and NetCDF. The Sampling resolution is 0.1degree grid. The projection method is EQR. The statistical period is 1 monthly. The current version of the product is Version 5. The Version 4 is also available. The generation unit is global. proprietary
@@ -7575,8 +7577,8 @@ GSSTF_NCEP_2c NCEP/DOE Reanalysis II in HDF-EOS5, for GSSTF2c, 1x1 deg Daily gri
GSSTF_NCEP_3 NCEP/DOE Reanalysis II, for GSSTF, 0.25 x 0.25 deg, Daily Grid V3 (GSSTF_NCEP) at GES DISC GES_DISC STAC Catalog 1987-07-01 2009-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1237113465-GES_DISC.umm_json These data are the Goddard Satellite-based Surface Turbulent Fluxes Version 3 Dataset recently produced through a MEaSUREs funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. This HDF-EOS5 dataset is part of the MEaSUREs project. This is a Daily product; data are projected to equidistant Grid that covers the globe at 0.25x0.25 degree cell size, resulting in data arrays of 1440x720 size. Data gap: Daily GSSTF_NCEP files are missing for October 21-22,26-28, in 1990. The input data sets used for this recent GSSTF production include the upgraded and improved datasets such as the Special Sensor Microwave Imager (SSM/I) Version-6 (V6) product of brightness temperature [Tb], total precipitable water [W], and wind speed [U] produced by the Wentz of Remote Sensing Systems (RSS), as well as the NCEP/DOE Reanalysis-2 (R2) product of sea skin temperature [SKT], 2-meter air temperature [Tair], and sea level pressure [SLP]. The short name for this product is GSSTF_NCEP. proprietary
GVHRRATS6IMIR_001 GVHRR/ATS-6 Black and White Infrared Images on Film V001 (GVHRRATS6IMIR) at GES DISC GES_DISC STAC Catalog 1974-06-07 1974-08-15 175, -90, -5, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3275628922-GES_DISC.umm_json GVHRRATS6IMIR is the Geosynchronous Very High Resolution Radiometer (GVHRR) Black and White Infrared Images on 70mm Film data product from the sixth Applications Technology Satellite (ATS-6). This set of IR imagery (10.5 to 12.5 micrometer, with an 11 km footprint at the sub-satellite point) was originally produced on commercial image-generation equipment from digital tapes and was made available on 70-mm film, from which they were later scanned to digital TIFF image files. Each TIFF scan contains 2 or 3 pictures, and there are several hundred scans from an original 70 mm film roll which are combined into a ZIP file. Each picture contains a title at the bottom of the image and a gray scale on the right boundary that represents brightness temperatures. The title contains the satellite identification, receiving station, spectral band, picture number, picture type, pixel scale, sector number, and date. The ATS-6 satellite was in a geosynchronous orbit parked at 95W viewing the hemisphere below the satellite. The GVHRR experiment returned data from launch until August 15, 1974 when it became inoperable, The PI was William E. Shenk from NASA Goddard Space Flight Center. This product was previously available from the NSSDC with the identifier ESAD-00092 (old ID 74-039A-08B). proprietary
GVHRRATS6IMVIS_001 GVHRR/ATS-6 Black and White Visible Images on Film V001 (GVHRRATS6IMVIS) at GES DISC GES_DISC STAC Catalog 1974-06-07 1974-08-15 175, -90, -5, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3275628923-GES_DISC.umm_json GVHRRATS6IMVIS is the Geosynchronous Very High Resolution Radiometer (GVHRR) Black and White Visible Images on Film data product from the sixth Applications Technology Satellite (ATS-6). This set of visible imagery (0.55 to 0.75 micrometer, with a 5.5 km footprint at the sub-satellite point) was originally produced on commercial image-generation equipment from digital tapes and was made available on 70-mm film, from which they were later scanned to digital TIFF image files. Each TIFF scan contains 2 or 3 pictures, and there are several hundred scans from an original 70 mm film roll which are combined into a ZIP file. Each picture contains a title at the bottom of the image and a gray scale on the right boundary that represents brightness temperatures. The title contains the satellite identification, receiving station, spectral band, picture number, picture type, pixel scale, sector number, and date. The ATS-6 satellite was in a geosynchronous orbit parked at 95W viewing the hemisphere below the satellite. The GVHRR experiment returned data from launch until August 15, 1974 when it became inoperable, The PI was William E. Shenk from NASA Goddard Space Flight Center. This product was previously available from the NSSDC with the identifier ESAD-00047 (old ID 74-039A-08A). proprietary
-GVdem_2008_3 A bathymetric Digital Elevation Model (DEM) of the George V and Terre Adelie continental shelf and margin AU_AADC STAC Catalog 2008-03-17 2010-07-16 138, -69, 148, -63 https://cmr.earthdata.nasa.gov/search/concepts/C1214313477-AU_AADC.umm_json This dataset comprises Digital Elevation Models (DEMs) of varying resolutions for the George V and Terre Adelie continental margin, derived by incorporating all available singlebeam and multibeam point depth data into ESRI ArcGIS grids. The purpose was to provide revised DEMs for Census of Antarctic Marine Life (CAML) researchers who required accurate, high-resolution depth models for correlating seabed biota data against the physical environment. The DEM processing method utilised all individual multibeam and singlebeam depth points converted to geographic xyz (long/lat/depth) ASCII files. In addition, an ArcGIS line shapefile of the East Antarctic coastline showing the grounding lines of coastal glaciers and floating ice shelves, was converted to a xyz ASCII file with 0 m as the depth value. Land elevation data utilised the Radarsat Antarctic Mapping Project (RAMP) 200 m DEM data converted to xyz ASCII data. All depth, land and coastline ASCII files were input to Fledermaus 3DEditor visualisation software for removal of noisy data. The cleaned point data were then binned into a gridded surface using Fledermaus DMagic software, resulting in a 0.001-arcdegree (~100 m) resolution DEM with holes where no input data exists. ArcGIS Topogrid software was used to interpolate across the holes to output a full-coverage DEM. ArcGIS was used to produce the additional 0.0025-arcdegree (~250 m) and 0.005-arcdegree (~500 m) resolution grids. Full processing details can be viewed in: Beaman, R.J., O'Brien, P.E., Post, A.L., De Santis, L., 2011. A new high-resolution bathymetry model for the Terre Adelie and George V continental margin, East Antarctica. Antarctic Science 23(1), 95-103. doi:10.1017/S095410201000074X proprietary
GVdem_2008_3 A bathymetric Digital Elevation Model (DEM) of the George V and Terre Adelie continental shelf and margin ALL STAC Catalog 2008-03-17 2010-07-16 138, -69, 148, -63 https://cmr.earthdata.nasa.gov/search/concepts/C1214313477-AU_AADC.umm_json This dataset comprises Digital Elevation Models (DEMs) of varying resolutions for the George V and Terre Adelie continental margin, derived by incorporating all available singlebeam and multibeam point depth data into ESRI ArcGIS grids. The purpose was to provide revised DEMs for Census of Antarctic Marine Life (CAML) researchers who required accurate, high-resolution depth models for correlating seabed biota data against the physical environment. The DEM processing method utilised all individual multibeam and singlebeam depth points converted to geographic xyz (long/lat/depth) ASCII files. In addition, an ArcGIS line shapefile of the East Antarctic coastline showing the grounding lines of coastal glaciers and floating ice shelves, was converted to a xyz ASCII file with 0 m as the depth value. Land elevation data utilised the Radarsat Antarctic Mapping Project (RAMP) 200 m DEM data converted to xyz ASCII data. All depth, land and coastline ASCII files were input to Fledermaus 3DEditor visualisation software for removal of noisy data. The cleaned point data were then binned into a gridded surface using Fledermaus DMagic software, resulting in a 0.001-arcdegree (~100 m) resolution DEM with holes where no input data exists. ArcGIS Topogrid software was used to interpolate across the holes to output a full-coverage DEM. ArcGIS was used to produce the additional 0.0025-arcdegree (~250 m) and 0.005-arcdegree (~500 m) resolution grids. Full processing details can be viewed in: Beaman, R.J., O'Brien, P.E., Post, A.L., De Santis, L., 2011. A new high-resolution bathymetry model for the Terre Adelie and George V continental margin, East Antarctica. Antarctic Science 23(1), 95-103. doi:10.1017/S095410201000074X proprietary
+GVdem_2008_3 A bathymetric Digital Elevation Model (DEM) of the George V and Terre Adelie continental shelf and margin AU_AADC STAC Catalog 2008-03-17 2010-07-16 138, -69, 148, -63 https://cmr.earthdata.nasa.gov/search/concepts/C1214313477-AU_AADC.umm_json This dataset comprises Digital Elevation Models (DEMs) of varying resolutions for the George V and Terre Adelie continental margin, derived by incorporating all available singlebeam and multibeam point depth data into ESRI ArcGIS grids. The purpose was to provide revised DEMs for Census of Antarctic Marine Life (CAML) researchers who required accurate, high-resolution depth models for correlating seabed biota data against the physical environment. The DEM processing method utilised all individual multibeam and singlebeam depth points converted to geographic xyz (long/lat/depth) ASCII files. In addition, an ArcGIS line shapefile of the East Antarctic coastline showing the grounding lines of coastal glaciers and floating ice shelves, was converted to a xyz ASCII file with 0 m as the depth value. Land elevation data utilised the Radarsat Antarctic Mapping Project (RAMP) 200 m DEM data converted to xyz ASCII data. All depth, land and coastline ASCII files were input to Fledermaus 3DEditor visualisation software for removal of noisy data. The cleaned point data were then binned into a gridded surface using Fledermaus DMagic software, resulting in a 0.001-arcdegree (~100 m) resolution DEM with holes where no input data exists. ArcGIS Topogrid software was used to interpolate across the holes to output a full-coverage DEM. ArcGIS was used to produce the additional 0.0025-arcdegree (~250 m) and 0.005-arcdegree (~500 m) resolution grids. Full processing details can be viewed in: Beaman, R.J., O'Brien, P.E., Post, A.L., De Santis, L., 2011. A new high-resolution bathymetry model for the Terre Adelie and George V continental margin, East Antarctica. Antarctic Science 23(1), 95-103. doi:10.1017/S095410201000074X proprietary
GWELDMO_003 NASA Global Web-Enabled Landsat Data Monthly Global 30 m V003 LPCLOUD STAC Catalog 2008-12-01 2011-11-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2763266354-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Web-Enabled Landsat Data Monthly (GWELDMO) Version 3 data product provides Landsat data at 30 meter (m) resolution for terrestrial non-Antarctica locations over monthly reporting periods for the 2010 epoch. GWELD data products are generated from all available Landsat 4 and 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data in the U.S. Geological Survey (USGS) Landsat archive. The GWELD suite of products provide consistent data to derive land cover as well as geophysical and biophysical information for regional assessment of land surface dynamics. The GWELD products include Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) for the reflective wavelength bands and to top of atmosphere (TOA) brightness temperature for the thermal bands. The products are defined in the Sinusoidal coordinate system to promote continuity of NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) land tile grid. Provided in the GWELDMO product are layers for surface reflectance bands 1 through 5 and 7, TOA brightness temperature for thermal bands, Normalized Difference Vegetation Index (NDVI), day of year, ancillary angle, and data quality information. A low-resolution red, green, blue (RGB) browse image of bands 5, 4, 3 is also available for each granule. proprietary
GWELDMO_031 NASA Global Web-Enabled Landsat Data Monthly Global 30 m V031 LPCLOUD STAC Catalog 1984-03-01 2001-11-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2763268458-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Web-Enabled Landsat Data Monthly (GWELDMO) Version 3.1 data product provides Landsat data at 30 meter (m) resolution for terrestrial non-Antarctica locations over monthly reporting periods for the 1985, 1990, and 2000 epochs. GWELD data products are generated from all available Landsat 4 and 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data in the U.S. Geological Survey (USGS) Landsat archive. The GWELD suite of products provide consistent data to derive land cover as well as geophysical and biophysical information for regional assessment of land surface dynamics. The GWELD products include Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) for the reflective wavelength bands and to top of atmosphere (TOA) brightness temperature for the thermal bands. The products are defined in the Sinusoidal coordinate system to promote continuity of NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) land tile grid. Provided in the GWELDMO product are layers for surface reflectance bands 1 through 5 and 7, TOA brightness temperature for thermal bands, Normalized Difference Vegetation Index (NDVI), day of year, ancillary angle, and data quality information. A low-resolution red, green, blue (RGB) browse image of bands 5, 4, 3 is also available for each granule. Version 3.1 products use Landsat Collection 1 products as input and have improved per-pixel cloud mask, new quality data, improved calibration information, and improved product metadata that enable view and solar geometry calculations. proprietary
GWELDMO_032 NASA Global Web-Enabled Landsat Data Monthly Global 30 m V032 LPCLOUD STAC Catalog 2003-12-01 2006-11-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2763268462-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Web-Enabled Landsat Data Monthly (GWELDMO) Version 3.2 data product provides Landsat data at 30 meter (m) resolution for terrestrial non-Antarctica locations over monthly reporting periods for the 2005 epoch. GWELD products are generated from all available Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data in the U.S. Geological Survey (USGS) Landsat archive. The GWELD suite of products provides a consistent data source to derive land cover as well as geophysical and biophysical information for regional assessment of land surface dynamics. The GWELD products include Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) for the reflective wavelength bands and top of atmosphere (TOA) brightness temperature for the thermal bands. The products are defined in the Sinusoidal coordinate system to promote continuity of NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) land tile grid. Provided in the GWELDMO product are layers for surface reflectance bands 1-5 and 7, TOA brightness temperature for thermal bands, Normalized Difference Vegetation Index (NDVI), day of year, ancillary angle, and data quality information. A low-resolution red, green, blue (RGB) browse image of bands 5, 4, 3 is also available for each granule. GWELD Version 3.2 products now use Landsat Collection 2 products as input while previous GWELD versions use Landsat Collection 1. Additionally, the Landsat FMask layer, CFMask_State, was adopted as the cloud mask replacing the DT_Cloud_State and ACCA_State layers. proprietary
@@ -7613,11 +7615,11 @@ Global_Lakes_Methane_2008_1 Global-Gridded Daily Methane Emissions Climatology f
Global_Landslide_Exposure_Maps_1.0 IMERG and LHASA Global Landslide Exposure Maps 1.0 GES_DISC STAC Catalog 2001-01-01 -180, -60, 180, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2670410720-GES_DISC.umm_json The Landslide Hazard Assessment for Situational Awareness (LHASA) model identifies locations with high potential for landslide occurrence at a daily temporal resolution. LHASA combines satellite‐based precipitation estimates with a landslide susceptibility map derived from information on slope, geology, road networks, fault zones, and forest loss. When rainfall is considered to be extreme and susceptibility values are moderate to very high, a “nowcast” is issued to indicate the times and places where landslides are more probable. This archive contains GeoTIFF Rasters that are a 16-year average (beginning of 2001 - end of 2016). The spatial coverage is from 72°N to 60°S latitude, and 180°W to 180°E longitude, based on IMERG Ver06B from the aforementioned time interval. The provided global maps of exposure to landslide hazards, are at a 30x30 arc-second resolution. These maps show the estimated exposure of population, roads, and critical infrastructure (hospitals/clinics, schools, fuel stations, power stations & distribution facilities) to landslide hazard, as modeled by the NASA LHASA model. The data collection consists of eight files, covering the aforementioned spatial and temporal ranges, totaling approximately 20.3 GB (~2.5 GB each): (1): Landslide hazard (annual average; Units: Nowcasts.yr-1) (2): Landslide hazard (annual standard deviation; Units: Nowcasts.yr-1) (3): Population exposure (annual average; Units: Person-Nowcasts. yr-1. km-2) (4): Population exposure (annual standard deviation; Units: Person-Nowcasts. yr-1. km-2) (5): Road exposure (annual average; Units: Nowcasts.km.yr-1.km-2) (6): Road exposure (annual standard deviation; Units: Nowcasts.km.yr-1.km-2) (7): Critical infrastructure exposure (annual average; Units: Nowcasts.element.yr-1.km-2) (8): Critical infrastructure exposure (annual standard deviation; Units: Nowcasts.element.yr-1.km-2) proprietary
Global_Landslide_Nowcast_1.1 Global Landslide Nowcast from LHASA L4 1 day 1 km x 1 km version 1.1 (Global_Landslide_Nowcast) at GES DISC GES_DISC STAC Catalog 2000-06-14 2020-12-31 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2036912694-GES_DISC.umm_json The Landslide Hazard Assessment for Situational Awareness (LHASA) model identifies locations with high potential for landslide occurrence at a daily temporal resolution. LHASA combines satellite‐based precipitation estimates with a landslide susceptibility map derived from information on slope, geology, road networks, fault zones, and forest loss. When rainfall is considered to be extreme and susceptibility values are moderate to very high, a “nowcast” is issued to indicate the times and places where landslides are more probable. Although the model could be run every half hour, this archive contains a daily record derived from a retrospective model run and spatial coverage is from 60°N to 60°S . proprietary
Global_Landslide_Nowcast_2.0.0 Global Landslide Nowcast from LHASA L4 1 day 1 km x 1 km version 2.0.0 (Global_Landslide_Nowcast) at GES DISC GES_DISC STAC Catalog 2015-04-03 2021-02-10 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2654319036-GES_DISC.umm_json The Global Landslide Nowcast addresses the need for real-time situational awareness of landslide hazard. The Landslide Hazard Assessment for Situational Awareness model (LHASA) combines satellite rainfall estimates from the Global Precipitation Measurement mission (GPM) with soil moisture estimates from the Soil Moisture Active Passive (SMAP) satellite and other factors to produce a map of locations where rainfall-triggered landslide activity is probable. Due to the latency of the rainfall data, the nowcast is a near-real time product with a minimum latency of 5 hours. Although the model could be run every half hour, this archive contains a daily record derived from a retrospective model run. The Global Landslide Nowcast version 2.0.0 retains replaces the heuristic decision tree from version 1.0 with a machine learning model. Instead of merging all factors other than precipitation into a susceptibility map, LHASA 2.0 takes in each variable as a separate input layer. The most important change is the replacement of the categorical nowcast with a probabilistic output. This will enable users to adjust the threshold to suit their specific application and geographic location. proprietary
-Global_Litter_Carbon_Nutrients_1244_1 A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients ORNL_CLOUD STAC Catalog 1827-01-01 1997-12-31 -156.7, -54.5, 176.2, 72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2784385713-ORNL_CLOUD.umm_json Measurement data of aboveground litterfall and littermass and litter carbon, nitrogen, and nutrient concentrations were extracted from 685 original literature sources and compiled into a comprehensive database to support the analysis of global patterns of carbon and nutrients in litterfall and litter pools. Data are included from sources dating from 1827 to 1997. The reported data include the literature reference, general site information (description, latitude, longitude, and elevation), site climate data (mean annual temperature and precipitation), site vegetation characteristics (management, stand age, ecosystem and vegetation-type codes), annual quantities of litterfall (by class, kg m-2 yr-1), litter pool mass (by class and litter layer, kg m-2), and concentrations of nitrogen (N), phosphorus (P), and base cations for the litterfall (g m-2 yr-1) and litter pool components (g m-2). The investigators intent was to compile a comprehensive data set of individual direct field measurements as reported by researchers. While the primary emphasis was on acquiring C data, measurements of N, P, and base cations were also obtained, although the database is sparse for elements other than C and N. Each of the 1,497 records in the database represents a measurement site. Replicate measurements were averaged according to conventions described in Section 5 and recorded for each site in the database. The sites were at 575 different locations. proprietary
Global_Litter_Carbon_Nutrients_1244_1 A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients ALL STAC Catalog 1827-01-01 1997-12-31 -156.7, -54.5, 176.2, 72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2784385713-ORNL_CLOUD.umm_json Measurement data of aboveground litterfall and littermass and litter carbon, nitrogen, and nutrient concentrations were extracted from 685 original literature sources and compiled into a comprehensive database to support the analysis of global patterns of carbon and nutrients in litterfall and litter pools. Data are included from sources dating from 1827 to 1997. The reported data include the literature reference, general site information (description, latitude, longitude, and elevation), site climate data (mean annual temperature and precipitation), site vegetation characteristics (management, stand age, ecosystem and vegetation-type codes), annual quantities of litterfall (by class, kg m-2 yr-1), litter pool mass (by class and litter layer, kg m-2), and concentrations of nitrogen (N), phosphorus (P), and base cations for the litterfall (g m-2 yr-1) and litter pool components (g m-2). The investigators intent was to compile a comprehensive data set of individual direct field measurements as reported by researchers. While the primary emphasis was on acquiring C data, measurements of N, P, and base cations were also obtained, although the database is sparse for elements other than C and N. Each of the 1,497 records in the database represents a measurement site. Replicate measurements were averaged according to conventions described in Section 5 and recorded for each site in the database. The sites were at 575 different locations. proprietary
+Global_Litter_Carbon_Nutrients_1244_1 A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients ORNL_CLOUD STAC Catalog 1827-01-01 1997-12-31 -156.7, -54.5, 176.2, 72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2784385713-ORNL_CLOUD.umm_json Measurement data of aboveground litterfall and littermass and litter carbon, nitrogen, and nutrient concentrations were extracted from 685 original literature sources and compiled into a comprehensive database to support the analysis of global patterns of carbon and nutrients in litterfall and litter pools. Data are included from sources dating from 1827 to 1997. The reported data include the literature reference, general site information (description, latitude, longitude, and elevation), site climate data (mean annual temperature and precipitation), site vegetation characteristics (management, stand age, ecosystem and vegetation-type codes), annual quantities of litterfall (by class, kg m-2 yr-1), litter pool mass (by class and litter layer, kg m-2), and concentrations of nitrogen (N), phosphorus (P), and base cations for the litterfall (g m-2 yr-1) and litter pool components (g m-2). The investigators intent was to compile a comprehensive data set of individual direct field measurements as reported by researchers. While the primary emphasis was on acquiring C data, measurements of N, P, and base cations were also obtained, although the database is sparse for elements other than C and N. Each of the 1,497 records in the database represents a measurement site. Replicate measurements were averaged according to conventions described in Section 5 and recorded for each site in the database. The sites were at 575 different locations. proprietary
Global_Maps_C_Density_2010_1763_1 Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 ORNL_CLOUD STAC Catalog 2010-01-01 2010-12-31 -180, -61.1, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C2764708636-ORNL_CLOUD.umm_json This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at a 300-m spatial resolution. The aboveground biomass map integrates land-cover specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were amassed from the published literature and, where necessary, updated to cover the focal extent or time period. The belowground biomass map similarly integrates matching maps derived from each aboveground biomass map and land-cover specific empirical models. Aboveground and belowground maps were then integrated separately using ancillary maps of percent tree cover and landcover and a rule-based decision tree. Maps reporting the accumulated uncertainty of pixel-level estimates are also provided. proprietary
-Global_Microbial_Biomass_C_N_P_1264_1 A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data ALL STAC Catalog 1977-11-16 2012-06-01 -180, -90, 177.9, 79 https://cmr.earthdata.nasa.gov/search/concepts/C2216863966-ORNL_CLOUD.umm_json This data set provides the concentrations of soil microbial biomass carbon (C), nitrogen (N) and phosphorus (P), soil organic carbon, total nitrogen, and total phosphorus at biome and global scales. The data were compiled from a comprehensive survey of publications from the late 1970s to 2012 and include 3,422 data points from 315 papers. These data are from soil samples collected primarily at 0-15 cm depth with some from 0-30 cm. In addition, data were compiled for soil microbial biomass concentrations from soil profile samples to depths of 100 cm. Sampling site latitude and longitude were available for the majority of the samples that enabled assembling additional soil properties, site characteristics, vegetation distributions, biomes, and long-term climate data from several global sources of soil, land-cover, and climate data. These site attributes are included with the microbial biomass data. This data set contains two *.csv files of the soil microbial biomass C, N, P data. The first provides all compiled results emphasizing the full spatial extent of the data, while the second is a subset that provides only data from a series of profile samples emphasizing the vertical distribution of microbial biomass concentrations.There is a companion file, also in .csv format, of the references for the surveyed publications. A reference_number relates the data to the respective publication.The concentrations of soil microbial biomass, in combination with other soil databases, were used to estimate the global storage of soil microbial biomass C and N in 0-30 cm and 0-100 cm soil profiles. These storage estimates were combined with a spatial map of 12 major biomes (boreal forest, temperate coniferous forest, temperate broadleaf forest, tropical and subtropical forests, mixed forest, grassland, shrub, tundra, desert, natural wetland, cropland, and pasture) at 0.05-degree by 0.5-degree spatial resolution. The biome map and six estimates of C and N storage and C:N ration in soil microbial biomass are provided in a single netCDF format file. proprietary
Global_Microbial_Biomass_C_N_P_1264_1 A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data ORNL_CLOUD STAC Catalog 1977-11-16 2012-06-01 -180, -90, 177.9, 79 https://cmr.earthdata.nasa.gov/search/concepts/C2216863966-ORNL_CLOUD.umm_json This data set provides the concentrations of soil microbial biomass carbon (C), nitrogen (N) and phosphorus (P), soil organic carbon, total nitrogen, and total phosphorus at biome and global scales. The data were compiled from a comprehensive survey of publications from the late 1970s to 2012 and include 3,422 data points from 315 papers. These data are from soil samples collected primarily at 0-15 cm depth with some from 0-30 cm. In addition, data were compiled for soil microbial biomass concentrations from soil profile samples to depths of 100 cm. Sampling site latitude and longitude were available for the majority of the samples that enabled assembling additional soil properties, site characteristics, vegetation distributions, biomes, and long-term climate data from several global sources of soil, land-cover, and climate data. These site attributes are included with the microbial biomass data. This data set contains two *.csv files of the soil microbial biomass C, N, P data. The first provides all compiled results emphasizing the full spatial extent of the data, while the second is a subset that provides only data from a series of profile samples emphasizing the vertical distribution of microbial biomass concentrations.There is a companion file, also in .csv format, of the references for the surveyed publications. A reference_number relates the data to the respective publication.The concentrations of soil microbial biomass, in combination with other soil databases, were used to estimate the global storage of soil microbial biomass C and N in 0-30 cm and 0-100 cm soil profiles. These storage estimates were combined with a spatial map of 12 major biomes (boreal forest, temperate coniferous forest, temperate broadleaf forest, tropical and subtropical forests, mixed forest, grassland, shrub, tundra, desert, natural wetland, cropland, and pasture) at 0.05-degree by 0.5-degree spatial resolution. The biome map and six estimates of C and N storage and C:N ration in soil microbial biomass are provided in a single netCDF format file. proprietary
+Global_Microbial_Biomass_C_N_P_1264_1 A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data ALL STAC Catalog 1977-11-16 2012-06-01 -180, -90, 177.9, 79 https://cmr.earthdata.nasa.gov/search/concepts/C2216863966-ORNL_CLOUD.umm_json This data set provides the concentrations of soil microbial biomass carbon (C), nitrogen (N) and phosphorus (P), soil organic carbon, total nitrogen, and total phosphorus at biome and global scales. The data were compiled from a comprehensive survey of publications from the late 1970s to 2012 and include 3,422 data points from 315 papers. These data are from soil samples collected primarily at 0-15 cm depth with some from 0-30 cm. In addition, data were compiled for soil microbial biomass concentrations from soil profile samples to depths of 100 cm. Sampling site latitude and longitude were available for the majority of the samples that enabled assembling additional soil properties, site characteristics, vegetation distributions, biomes, and long-term climate data from several global sources of soil, land-cover, and climate data. These site attributes are included with the microbial biomass data. This data set contains two *.csv files of the soil microbial biomass C, N, P data. The first provides all compiled results emphasizing the full spatial extent of the data, while the second is a subset that provides only data from a series of profile samples emphasizing the vertical distribution of microbial biomass concentrations.There is a companion file, also in .csv format, of the references for the surveyed publications. A reference_number relates the data to the respective publication.The concentrations of soil microbial biomass, in combination with other soil databases, were used to estimate the global storage of soil microbial biomass C and N in 0-30 cm and 0-100 cm soil profiles. These storage estimates were combined with a spatial map of 12 major biomes (boreal forest, temperate coniferous forest, temperate broadleaf forest, tropical and subtropical forests, mixed forest, grassland, shrub, tundra, desert, natural wetland, cropland, and pasture) at 0.05-degree by 0.5-degree spatial resolution. The biome map and six estimates of C and N storage and C:N ration in soil microbial biomass are provided in a single netCDF format file. proprietary
Global_Monthly_GPP_1789_1 Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016 ORNL_CLOUD STAC Catalog 1982-01-01 2017-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2764742564-ORNL_CLOUD.umm_json This dataset provides global monthly average gross primary productivity (GPP; g carbon/m2/d) modeled at 8 km spatial resolution for each of the 35 years from 1982-2016. GPP is based on the well-known Monteith light use efficiency (LUE) equation but was improved with optimized spatially and temporally explicit LUE values derived from selected FLUXNET tower site data. Optimized LUE was extrapolated to a consistent 8 km resolution global grid using multiple explanatory variables representing climatic, landscape, and vegetation factors influencing LUE and GPP. Global gridded long-term daily GPP was derived using the optimized LUE, Global Inventory Modeling and Mapping Studies (GIMMS3g) canopy fraction of photosynthetically active radiation (FPAR), and Modern-Era Retrospective analysis for Research and Applications, Version 2, (MERRA-2) meteorological information. These data will improve satellite-based estimation and understanding of GPP using a refined LUE model framework. proprietary
Global_Phosphorus_Dist_Map_1223_1 Global Gridded Soil Phosphorus Distribution Maps at 0.5-degree Resolution ORNL_CLOUD STAC Catalog 1850-01-01 1850-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2216863372-ORNL_CLOUD.umm_json This data set provides estimates of different forms of naturally occurring soil phosphorus (P) including labile inorganic P, organic P, occluded P, secondary mineral P, apatite P, and total P on a global scale at 0.5-degree resolution. The data were assembled from chronosequence information and global spatial databases to develop a map of total soil P and the distribution among mineral bound, labile, organic, occluded, and secondary P forms in soils. Uncertainty was calculated for the different forms. The data set has no explicit temporal component -- data were nominally for the pre-industrial period ca. 1850.The estimated global spatial variation and distribution of different soil P forms presented in this study will be useful for global biogeochemistry models that include P as a limiting element in biological production by providing initial estimates of the available soil P for plant uptake and microbial utilization (Yang et al., 2013).There is one netCDF data file (.nc) with this data set. proprietary
Global_Phosphorus_Hedley_Fract_1230_1 A Global Database of Soil Phosphorus Compiled from Studies Using Hedley Fractionation ALL STAC Catalog 1985-01-01 2010-12-31 -117.86, -42.5, 117.6, 63.23 https://cmr.earthdata.nasa.gov/search/concepts/C2216863440-ORNL_CLOUD.umm_json This data set provides concentrations of soil phosphorus (P) compiled from the peer-reviewed literature that cited the Hedley fractionation method (Hedley and Stewart, 1982). This database contains estimates of different forms of naturally occurring soil phosphorus, including labile inorganic P, organic P, occluded P, secondary mineral P, apatite P, and total P, based on the analyses of the various Hedley soil fractions.The recent literature survey (Yang and Post, 2011) was restricted to studies of natural, unfertilized, and uncultivated soils since 1995. Ninety measurements of soil P fractions were identified. These were added to the 88 values from soils in natural ecosystems that Cross and Schlesinger (1995) had compiled. Cross and Schlesinger provided a comprehensive survey on Hedley P data prior to 1995. Measurement data are provided for studies published from 1985 through 2010. In addition to the Hedley P fraction measurement data Yang and Post (2011) also compiled information on soil order, soil pH, organic carbon and nitrogen content, as well as the geographic location (longitude and latitude) of the measurement sites. proprietary
@@ -7632,8 +7634,8 @@ Global_Soil_Regolith_Sediment_1304_1 Global 1-km Gridded Thickness of Soil, Rego
Global_Veg_Greenness_GIMMS_3G_2187_1 Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022 ORNL_CLOUD STAC Catalog 1982-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2759076389-ORNL_CLOUD.umm_json This dataset holds the Global Inventory Modeling and Mapping Studies-3rd Generation V1.2 (GIMMS-3G+) data for the Normalized Difference Vegetation Index (NDVI). NDVI was based on corrected and calibrated measurements from Advanced Very High Resolution Radiometer (AVHRR) data with a spatial resolution of 0.0833 degree and global coverage for 1982 to 2022. Maximum NDVI values are reported within twice monthly compositing periods (two values per month). The dataset was assembled from different AVHRR sensors and accounts for various deleterious effects, such as calibration loss, orbital drift, and volcanic eruptions. The data are provided in NetCDF format. proprietary
Globalsoil_ESM A Global Soil Dataset for Earth System Modeling ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214604044-SCIOPS.umm_json We developed a comprehensive, gridded Global Soil Dataset for use in Earth System Models (GSDE) and other applications as well. GSDE provides soil information including soil particle-size distribution, organic carbon, and nutrients, etc. and quality control information in terms of confidence level. GSDE is based on the Soil Map of the World and various regional and national soil databases, including soil attribute data and soil maps. We used a standardized data structure and data processing procedures to harmonize the data collected from various sources. We then used a soil type linkage method (i.e. taxotransfer rules) and the polygon linkage method to derive the spatial distribution of soil properties. To aggregate the attributes of different compositions of a mapping unit, we used three mapping approaches: area-weighting method, the dominant soil type method and the dominant binned soil attribute method. In the released gridded dataset, we used the area-weighting method as it will meet the demands of most applications. The dataset can be also aggregate to a lower resolution. The resolution is 30 arc-seconds (about 1 km at the equator). The vertical variation of soil property was captured by eight layers to the depth of 2.3 m (i.e. 0- 0.045, 0.045- 0.091, 0.091- 0.166, 0.166- 0.289, 0.289- 0.493, 0.493- 0.829, 0.829- 1.383 and 1.383- 2.296 m). proprietary
Globalsoil_ESM A Global Soil Dataset for Earth System Modeling SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214604044-SCIOPS.umm_json We developed a comprehensive, gridded Global Soil Dataset for use in Earth System Models (GSDE) and other applications as well. GSDE provides soil information including soil particle-size distribution, organic carbon, and nutrients, etc. and quality control information in terms of confidence level. GSDE is based on the Soil Map of the World and various regional and national soil databases, including soil attribute data and soil maps. We used a standardized data structure and data processing procedures to harmonize the data collected from various sources. We then used a soil type linkage method (i.e. taxotransfer rules) and the polygon linkage method to derive the spatial distribution of soil properties. To aggregate the attributes of different compositions of a mapping unit, we used three mapping approaches: area-weighting method, the dominant soil type method and the dominant binned soil attribute method. In the released gridded dataset, we used the area-weighting method as it will meet the demands of most applications. The dataset can be also aggregate to a lower resolution. The resolution is 30 arc-seconds (about 1 km at the equator). The vertical variation of soil property was captured by eight layers to the depth of 2.3 m (i.e. 0- 0.045, 0.045- 0.091, 0.091- 0.166, 0.166- 0.289, 0.289- 0.493, 0.493- 0.829, 0.829- 1.383 and 1.383- 2.296 m). proprietary
-GoMA-Platts_Bank_Aerial_Survey Aerial survey of upper trophic level predators on PLatts Bank, Gulf of Maine ALL STAC Catalog 2005-07-11 2005-07-29 -70.17854, 43.00422, -69.14483, 43.35316 https://cmr.earthdata.nasa.gov/search/concepts/C1214590724-SCIOPS.umm_json The study area is located 50 km from shore in the western Gulf of Maine and covers 1672 km2, including Platts Bank, Three Dory Ridge and surrounding deep water. Platts Bank (43°10N, 069°40W) is a glacial deposit composed primarily of sand and gravel. When defined by the 100 m isobath, the bank is approximately 15 km in its longest dimension and has an area <140 km2. Aerial surveys were flown on ten days from July 11 to 29, 2005 to record the distribution and relative abundance of marine mammals, birds and large fish. Surveys were typically conducted in the morning or early afternoon and consisted of six transects, each 46 km long oriented on an East-West axis to minimize interference from reflected sunlight. Survey legs were flown at 185 km/hr and an altitude of 230 m using a high-wing, twin-engine aircraft. Observation effort (two observers) was concentrated from both sides of the plane perpendicular to the flight path. To estimate the distances of sightings of mammals and fish from the planes flight path, sightings were binned into five groupings corresponding to 15 degrees of arc from 15° (the area directly beneath the plane was not visible) to 90°. When species identification or number of individuals was uncertain, search effort was interrupted while the plane circled to confirm identifications and number of individuals and to obtain a more precise location. Birds were recorded only within a 170 m strip on each side of the aircraft (15° to 45° of arc) during the survey legs. Sightings of birds continued when the plane circled for closer inspection of mammals and fish, but these data were not used in analyses since this would bias bird sightings towards areas where cetaceans were concentrated. Data were recorded by a dedicated data recorder directly onto a computer using software that recorded the time and location from the GPS navigation system aboard the plane at regular intervals throughout the flight and for each recorded sighting. proprietary
GoMA-Platts_Bank_Aerial_Survey Aerial survey of upper trophic level predators on PLatts Bank, Gulf of Maine SCIOPS STAC Catalog 2005-07-11 2005-07-29 -70.17854, 43.00422, -69.14483, 43.35316 https://cmr.earthdata.nasa.gov/search/concepts/C1214590724-SCIOPS.umm_json The study area is located 50 km from shore in the western Gulf of Maine and covers 1672 km2, including Platts Bank, Three Dory Ridge and surrounding deep water. Platts Bank (43°10N, 069°40W) is a glacial deposit composed primarily of sand and gravel. When defined by the 100 m isobath, the bank is approximately 15 km in its longest dimension and has an area <140 km2. Aerial surveys were flown on ten days from July 11 to 29, 2005 to record the distribution and relative abundance of marine mammals, birds and large fish. Surveys were typically conducted in the morning or early afternoon and consisted of six transects, each 46 km long oriented on an East-West axis to minimize interference from reflected sunlight. Survey legs were flown at 185 km/hr and an altitude of 230 m using a high-wing, twin-engine aircraft. Observation effort (two observers) was concentrated from both sides of the plane perpendicular to the flight path. To estimate the distances of sightings of mammals and fish from the planes flight path, sightings were binned into five groupings corresponding to 15 degrees of arc from 15° (the area directly beneath the plane was not visible) to 90°. When species identification or number of individuals was uncertain, search effort was interrupted while the plane circled to confirm identifications and number of individuals and to obtain a more precise location. Birds were recorded only within a 170 m strip on each side of the aircraft (15° to 45° of arc) during the survey legs. Sightings of birds continued when the plane circled for closer inspection of mammals and fish, but these data were not used in analyses since this would bias bird sightings towards areas where cetaceans were concentrated. Data were recorded by a dedicated data recorder directly onto a computer using software that recorded the time and location from the GPS navigation system aboard the plane at regular intervals throughout the flight and for each recorded sighting. proprietary
+GoMA-Platts_Bank_Aerial_Survey Aerial survey of upper trophic level predators on PLatts Bank, Gulf of Maine ALL STAC Catalog 2005-07-11 2005-07-29 -70.17854, 43.00422, -69.14483, 43.35316 https://cmr.earthdata.nasa.gov/search/concepts/C1214590724-SCIOPS.umm_json The study area is located 50 km from shore in the western Gulf of Maine and covers 1672 km2, including Platts Bank, Three Dory Ridge and surrounding deep water. Platts Bank (43°10N, 069°40W) is a glacial deposit composed primarily of sand and gravel. When defined by the 100 m isobath, the bank is approximately 15 km in its longest dimension and has an area <140 km2. Aerial surveys were flown on ten days from July 11 to 29, 2005 to record the distribution and relative abundance of marine mammals, birds and large fish. Surveys were typically conducted in the morning or early afternoon and consisted of six transects, each 46 km long oriented on an East-West axis to minimize interference from reflected sunlight. Survey legs were flown at 185 km/hr and an altitude of 230 m using a high-wing, twin-engine aircraft. Observation effort (two observers) was concentrated from both sides of the plane perpendicular to the flight path. To estimate the distances of sightings of mammals and fish from the planes flight path, sightings were binned into five groupings corresponding to 15 degrees of arc from 15° (the area directly beneath the plane was not visible) to 90°. When species identification or number of individuals was uncertain, search effort was interrupted while the plane circled to confirm identifications and number of individuals and to obtain a more precise location. Birds were recorded only within a 170 m strip on each side of the aircraft (15° to 45° of arc) during the survey legs. Sightings of birds continued when the plane circled for closer inspection of mammals and fish, but these data were not used in analyses since this would bias bird sightings towards areas where cetaceans were concentrated. Data were recorded by a dedicated data recorder directly onto a computer using software that recorded the time and location from the GPS navigation system aboard the plane at regular intervals throughout the flight and for each recorded sighting. proprietary
GozMmlpH2O_1 GOZCARDS Merged Water Vapor 1 month L3 10 degree Zonal Means on a Vertical Pressure Grid V1 (GozMmlpH2O) at GES DISC GES_DISC STAC Catalog 1991-09-01 2012-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1251051158-GES_DISC.umm_json The GOZCARDS Merged Data for Water Vapor 1 month L3 10 degree Zonal Averages on a Vertical Pressure Grid product (GozMmlpH2O) contains zonal means and related information (standard deviation, minimum/maximum value, etc.), calculated as a result of a merging process that ties together the source datasets, after bias removal and averaging. The merged H2O data are from the following satellite instruments: HALOE (v19; 1991 - 2005), ACE-FTS (v2.2u; 2004 - onward), and Aura MLS (v3.3; 2004 - onward). The vertical pressure range for H2O is from 147 to 0.01 hPa. The input source data used to create this merged product are contained in a separate data product with the short name GozSmlpH2O. The GozMmlpH2O merged data are distributed in netCDF4 format. proprietary
GozMmlpHCl_1 GOZCARDS Merged Hydrogen Chloride 1 month L3 10 degree Zonal Means on a Vertical Pressure Grid V1 (GozMmlpHCl) at GES DISC GES_DISC STAC Catalog 1991-10-01 2012-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1251051227-GES_DISC.umm_json The GOZCARDS Merged Data for Hydrogen Chloride 1 month L3 10 degree Zonal Averages on a Vertical Pressure Grid product (GozMmlpHCl) contains zonal means and related information (standard deviation, minimum/maximum value, etc.), calculated as a result of a merging process that ties together the source datasets, after bias removal and averaging. The merged HCl data are from the following satellite instruments: HALOE (v19; 1991 - 2005), ACE-FTS (v2.2u; 2004 - onward), and Aura MLS (v3.3; 2004 - onward). The vertical pressure range for HCl is from 147 to 0.5 hPa. The input source data used to create this merged product are contained in a separate data product with the short name GozSmlpHCl. The GozMmlpHCl merged data are distributed in netCDF4 format. proprietary
GozMmlpHNO3_1 GOZCARDS Merged Nitric Acid 1 month L3 10 degree Zonal Means on a Vertical Pressure Grid V1 (GozMmlpHNO3) at GES DISC GES_DISC STAC Catalog 2004-08-01 2012-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1251051235-GES_DISC.umm_json The GOZCARDS Merged Data for Nitric Acid 1 month L3 10 degree Zonal Averages on a Vertical Pressure Grid product (GozMmlpHNO3) contains zonal means and related information (standard deviation, minimum/maximum value, etc.), calculated as a result of a merging process that ties together the source datasets, after bias removal and averaging. The merged HNO3 data are from the following satellite instruments: UARS MLS (v6; 1991 - 1997), ACE-FTS (v2.2u; 2004 - onward), and Aura MLS (v3.3; 2004 - onward). The vertical pressure range for HNO3 is from 147 to 1 hPa. The input source data used to create this merged product are contained in a separate data product with the short name GozSmlpHNO3. The GozMmlpHNO3 merged data are distributed in netCDF4 format. proprietary
@@ -7648,8 +7650,8 @@ GozSmlpT_1 GOZCARDS Source Temperature 1 month L4 10 degree Zonal Averages on a
Great African Food Company Crop Type Tanzania_1 Great African Food Company Crop Type Tanzania MLHUB STAC Catalog 2020-01-01 2023-01-01 33.5684048, -4.4374314, 37.2124126, -2.0436294 https://cmr.earthdata.nasa.gov/search/concepts/C2781412712-MLHUB.umm_json This dataset contains field boundaries and crop types from farms in Tanzania. Great African Food Company used Farmforce app to collect a point within each field, and recorded other properties including area of the field.
Radiant Earth Foundation team used the point measurements from the ground data collection and the area of each field overlaid on satellite imagery (multiple Sentinel-2 scenes during the growing season, and Google basemap) to draw the polygons for each field. These polygons do not cover the entirety of the field, and are always enclosed within the field. Therefore, they should not be used for field boundary detection, rather as reference polygons for crop type classification. Data points that were not clear if they belong to a neighboring farm (e.g. the point was on the edge of two farms)were removed from the dataset. Finally, ground reference polygons were matched with corresponding time series data from Sentinel-2 satellites (listed in the source imagery property of each label item). proprietary
Great_Belt_0 Great Belt research cruise in the Southern Ocean OB_DAAC STAC Catalog 2011-01-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360350-OB_DAAC.umm_json The Great Belt research cruise investigated the Great Southern Coccolithophore Belt in the Southern Ocean. proprietary
Great_Lakes_0 Water quality measurements from the Great Lakes OB_DAAC STAC Catalog 2008-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360351-OB_DAAC.umm_json Water quality measurements taken in the Great Lakes region of the United States. proprietary
-Great_Slave_Lake_Ecosystem_Map_1695_1 ABoVE: Ecosystem Map, Great Slave Lake Area, Northwest Territories, Canada, 1997-2011 ORNL_CLOUD STAC Catalog 1997-09-25 2011-09-14 -123.04, 58.51, -109.46, 65.15 https://cmr.earthdata.nasa.gov/search/concepts/C2143402730-ORNL_CLOUD.umm_json This dataset provides an ecosystem type map at 12.5 meter pixel spacing and 0.2 ha minimum mapping unit for the area surrounding Great Slave Lake, Northwest Territories, Canada for the time period 1997 to 2011. The map includes nine classes for peatland, wetland, and upland areas derived from a Random Forest classification trained on multi-date, multi-sensor remote sensing images across the study extent, and using field data and high-resolution Worldview-2 image interpretation for training and validation. The nine classes are: Water, Marsh, Swamp, Open Fen, Treed Fen, Bog, Upland Deciduous, Upland Conifer, and Sparsely Vegetated. A tenth map class identifies areas of historical fires (prior to 2011) that are currently undergoing post-fire successional revegetation. This dataset provides an ecosystem type map of the area before the large fire season of 2014 to better understand the effects of fires in the area. proprietary
Great_Slave_Lake_Ecosystem_Map_1695_1 ABoVE: Ecosystem Map, Great Slave Lake Area, Northwest Territories, Canada, 1997-2011 ALL STAC Catalog 1997-09-25 2011-09-14 -123.04, 58.51, -109.46, 65.15 https://cmr.earthdata.nasa.gov/search/concepts/C2143402730-ORNL_CLOUD.umm_json This dataset provides an ecosystem type map at 12.5 meter pixel spacing and 0.2 ha minimum mapping unit for the area surrounding Great Slave Lake, Northwest Territories, Canada for the time period 1997 to 2011. The map includes nine classes for peatland, wetland, and upland areas derived from a Random Forest classification trained on multi-date, multi-sensor remote sensing images across the study extent, and using field data and high-resolution Worldview-2 image interpretation for training and validation. The nine classes are: Water, Marsh, Swamp, Open Fen, Treed Fen, Bog, Upland Deciduous, Upland Conifer, and Sparsely Vegetated. A tenth map class identifies areas of historical fires (prior to 2011) that are currently undergoing post-fire successional revegetation. This dataset provides an ecosystem type map of the area before the large fire season of 2014 to better understand the effects of fires in the area. proprietary
+Great_Slave_Lake_Ecosystem_Map_1695_1 ABoVE: Ecosystem Map, Great Slave Lake Area, Northwest Territories, Canada, 1997-2011 ORNL_CLOUD STAC Catalog 1997-09-25 2011-09-14 -123.04, 58.51, -109.46, 65.15 https://cmr.earthdata.nasa.gov/search/concepts/C2143402730-ORNL_CLOUD.umm_json This dataset provides an ecosystem type map at 12.5 meter pixel spacing and 0.2 ha minimum mapping unit for the area surrounding Great Slave Lake, Northwest Territories, Canada for the time period 1997 to 2011. The map includes nine classes for peatland, wetland, and upland areas derived from a Random Forest classification trained on multi-date, multi-sensor remote sensing images across the study extent, and using field data and high-resolution Worldview-2 image interpretation for training and validation. The nine classes are: Water, Marsh, Swamp, Open Fen, Treed Fen, Bog, Upland Deciduous, Upland Conifer, and Sparsely Vegetated. A tenth map class identifies areas of historical fires (prior to 2011) that are currently undergoing post-fire successional revegetation. This dataset provides an ecosystem type map of the area before the large fire season of 2014 to better understand the effects of fires in the area. proprietary
GreenBay_0 2010 Measurements made in Green Bay, Wisconsin ALL STAC Catalog 2010-09-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360352-OB_DAAC.umm_json Measurements made in Green Bay, Wisconsin in 2010. proprietary
GreenBay_0 2010 Measurements made in Green Bay, Wisconsin OB_DAAC STAC Catalog 2010-09-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360352-OB_DAAC.umm_json Measurements made in Green Bay, Wisconsin in 2010. proprietary
Gridded_Biomass_Africa_1777_1 Gridded Estimates of Woody Cover and Biomass across Sub-Saharan Africa, 2000-2004 ORNL_CLOUD STAC Catalog 2000-01-01 2005-01-01 -20.61, -34.81, 61.53, 22.01 https://cmr.earthdata.nasa.gov/search/concepts/C2762262652-ORNL_CLOUD.umm_json This dataset provides maps of woody (tree and shrub) cover and biomass across Sub-Saharan Africa at a resolution of 1 km for the period 2000-2004. Canopy cover observations and remote-sensing data related to woody vegetation were used to predict woody cover across Africa. Predicted woody cover, canopy height, and tree allometry were used to estimate woody biomass for Sub-Saharan Africa. Canopy cover observations were assembled from field measurements and Google Earth imagery collected from 2000-2004. Remote-sensing data related to the structural attributes of woody vegetation were derived from MODIS optical data and Q-SCAT (Quick Scatterometer) microwave measurements. Canopy height estimates were derived from spaceborne lidar and tree allometry equations were retrieved from GlobAllomeTree. proprietary
@@ -7677,8 +7679,8 @@ H3ZFCT_007 HIRDLS/Aura Level 3 Temperature 1deg Lat Zonal Fourier Coefficients V
HABITATCASEY0203_2 Bird habitat surveys conducted in the Windmill Islands during 2002/03 and descriptive information of the terrestrial Environment in the Windmill Islands AU_AADC STAC Catalog 2002-11-12 2003-02-16 110.3, -66.5, 110.75, -66.2333 https://cmr.earthdata.nasa.gov/search/concepts/C1214308579-AU_AADC.umm_json Very little information is available on the geomorphology of areas surrounding Australian Antarctic stations. This type of information is generally collected during geological surveys. This metadata record gathers a range of descriptive geomorphological information of various nature: -Habitat surveys were conducted in the season 2002-2003 in the Windmill Islands in parallel with bird nest mapping (reported in metadata record BIRDSCASEY0203) in order to study selection of nest sites by a range of species. Habitat was described in the survey sites searched for bird nests following various methods (described in BIRDSCASEY0203). Information is stored as GIS files (Arcview 3.2) -polygon shapefile gathering all the geomorphological units. -line shapefile describing habitat along transects used for searching bird nests -polygon shapefile describing habitat in small 25*25m quadrats used for searching bird nests -A collection of 1309 digital photos showing the sites searched for bird nests indexed by grid site number. Plus another set of 194 photos showing region of the Windmill Islands or bird nests more in detail -A set of Digital Elevation Models (DEM) covering the entire Windmill Islands area generated separately for 18 regions. -200m*200m grid created from the coverage of ice-free areas (Aerial photography 93-94) providing site numbers for the photographic database -A series of Black and White aerial Photos (500 m, Zeiss, 1994) scanned at high resolution for the purpose of substrate study. See the word document in the file download for more information. This work has been completed as part of ASAC project 1219 (ASAC_1219). The fields in this dataset are: Date Boulderbig Bouldsmall Baresubst Morsed Scree Snowcover Permice Slope Aspect Photonumber Sitedotid Comments proprietary
HABITATMAWSON04-05_1 Bird habitat surveys conducted during the 2004/05 summer and descriptive information of the terrestrial environment in the Mawson region AU_AADC STAC Catalog 2004-12-10 2005-04-25 62.25, -67.6, 63.5, -67.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214308607-AU_AADC.umm_json Very little information is available on the geomorphology of areas surrounding Australian Antarctic stations. This type of information is generally collected during geological surveys. This metadata record gathers a range of descriptive geomorphological information of various nature: -Habitat surveys were conducted in the season 2004-2005 in the Mawson area in parallel with bird nest mapping (reported in metadata record SNPEMAWSON0405) in order to study selection of nest sites by a range of species. Habitat was described in the survey sites searched for bird nests following various methods (described in). Information is stored as GIS files (Arcview 3.2 or ArcGIS): -polygon shapefile gathering all the geomorphological units describing % substrate cover -A collection of digital photos showing the sites searched for bird nests, most if them indexed by grid site number. The grid sites numbers are located in a shapefile of 200*200m sites, below) -A set of Digital Elevation Models (DEM) covering the entire Mawson area generated for 5 separate regions and the derived slope, aspect, aspect to the prevailing winds, convexity raster files at a 10m resolution -200m*200m grid created from the coverage of ice-free areas (from Aerial photography) providing site boundaries and numbers for the photographic database -A series of Black and White and colour aerial Photos scanned at high resolution for the purpose of substrate study and associated 3D images. This work has been completed as part of ASAC project 2704 (ASAC_2704). The main fields in this dataset are: Date Boulderbig Bouldsmall Baresubst Morsed Scree Snowcover Permice Slope Aspect Sitedotid Comments proprietary
HAB_0 Harmful Algal Blooms (HABs) measurements from multiple sites in 2006 OB_DAAC STAC Catalog 2006-06-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360367-OB_DAAC.umm_json Measurements of Harmful Algal Blooms (HABs) in the Gulf of Mexico, Chesapeake Bay, and Great Lake regions during 2006. proprietary
-HALO_LiDAR_AOP_ML_Heights_1833_1 ACT-America: HALO Lidar Measurements of AOP and ML Heights, 2019 ORNL_CLOUD STAC Catalog 2019-06-17 2019-07-28 -102, 28, -73, 50 https://cmr.earthdata.nasa.gov/search/concepts/C2704996986-ORNL_CLOUD.umm_json This dataset provides measurements from the High Altitude Lidar Observatory (HALO) instrument, an airborne multi-function Differential Absorption Lidar (DIAL) and High Spectral Resolution Lidar (HSRL), operating at 532 nm and 1064 nm wavelengths onboard a C-130 aircraft during the June and July 2019 ACT-America campaign. The flights took place over eastern and central North America based from Shreveport, Louisiana; Lincoln, Nebraska; and NASA Wallops Flight Facility located on the eastern shore of Virginia. HALO data were sampled at 0.5 s temporal and 1.25 m vertical resolutions. The data include profiles of aerosol optical properties (AOP), distributions of mixed layer heights (MLH), columns of tropospheric methane, and navigation parameters. The data are provided in HDF5 format along with PNG images and a companion files in Portable Document (*.pdf) format. proprietary
HALO_LiDAR_AOP_ML_Heights_1833_1 ACT-America: HALO Lidar Measurements of AOP and ML Heights, 2019 ALL STAC Catalog 2019-06-17 2019-07-28 -102, 28, -73, 50 https://cmr.earthdata.nasa.gov/search/concepts/C2704996986-ORNL_CLOUD.umm_json This dataset provides measurements from the High Altitude Lidar Observatory (HALO) instrument, an airborne multi-function Differential Absorption Lidar (DIAL) and High Spectral Resolution Lidar (HSRL), operating at 532 nm and 1064 nm wavelengths onboard a C-130 aircraft during the June and July 2019 ACT-America campaign. The flights took place over eastern and central North America based from Shreveport, Louisiana; Lincoln, Nebraska; and NASA Wallops Flight Facility located on the eastern shore of Virginia. HALO data were sampled at 0.5 s temporal and 1.25 m vertical resolutions. The data include profiles of aerosol optical properties (AOP), distributions of mixed layer heights (MLH), columns of tropospheric methane, and navigation parameters. The data are provided in HDF5 format along with PNG images and a companion files in Portable Document (*.pdf) format. proprietary
+HALO_LiDAR_AOP_ML_Heights_1833_1 ACT-America: HALO Lidar Measurements of AOP and ML Heights, 2019 ORNL_CLOUD STAC Catalog 2019-06-17 2019-07-28 -102, 28, -73, 50 https://cmr.earthdata.nasa.gov/search/concepts/C2704996986-ORNL_CLOUD.umm_json This dataset provides measurements from the High Altitude Lidar Observatory (HALO) instrument, an airborne multi-function Differential Absorption Lidar (DIAL) and High Spectral Resolution Lidar (HSRL), operating at 532 nm and 1064 nm wavelengths onboard a C-130 aircraft during the June and July 2019 ACT-America campaign. The flights took place over eastern and central North America based from Shreveport, Louisiana; Lincoln, Nebraska; and NASA Wallops Flight Facility located on the eastern shore of Virginia. HALO data were sampled at 0.5 s temporal and 1.25 m vertical resolutions. The data include profiles of aerosol optical properties (AOP), distributions of mixed layer heights (MLH), columns of tropospheric methane, and navigation parameters. The data are provided in HDF5 format along with PNG images and a companion files in Portable Document (*.pdf) format. proprietary
HAQES_NA_PM25_BC_1 HAQES 3-Hourly Ensemble mean surface PM2.5 Black Carbon concentration, North America V1 (HAQES_NA_PM25_BC) at GES DISC GES_DISC STAC Catalog 2022-11-01 -132, 21, -58.5, 53.5 https://cmr.earthdata.nasa.gov/search/concepts/C2623694321-GES_DISC.umm_json This product provides HAQES 3-hourly ensemble mean surface PM2.5 Black Carbon concentration over the continental United States (CONUS) and surrounding regions. The data is mapped on Lambert projection. The Hazardous Air Quality Ensemble System (HAQES) is a real-time ensemble forecast of hazardous air quality events, such as wildfires, dust storms, and Volcanic eruptions. Both regional and global models from multiple agencies are used to create the ensemble, including the Goddard Earth Observing System (GEOS) from the National Aeronautics and Space Administration (NASA), the Navy Aerosol Analysis and Prediction System (NAAPS) from Naval Research Laboratory, the Global Ensemble Forecast System Aerosols (GEFS), High-Resolution Rapid Refresh (HRRR), and National Oceanic and Atmospheric Administration-U.S. Environmental Protection Agency (NOAA-EPA) Atmosphere-Chemistry Coupler-Community Multiscale Air Quality model (NACC-CMAQ) from NOAA. The prototypes of HAQES products were developed by the George Mason University Air Quality Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST). proprietary
HAQES_NA_PM25_BC_CENSUS_1 HAQES 3-Hourly Ensemble mean surface PM2.5 Black Carbon concentration at census level, North America V1 (HAQES_NA_PM25_BC_CENSUS) at GES DISC GES_DISC STAC Catalog 2022-11-01 -132, 21, -58.5, 53.5 https://cmr.earthdata.nasa.gov/search/concepts/C2623694409-GES_DISC.umm_json This product provides HAQES 3-hourly ensemble mean surface PM2.5 Black Carbon concentration at the census level over the continental United States (CONUS). The Hazardous Air Quality Ensemble System (HAQES) is a real-time ensemble forecast of hazardous air quality events, such as wildfires, dust storms, and Volcanic eruptions. Both regional and global models from multiple agencies are used to create the ensemble, including the Goddard Earth Observing System (GEOS) from the National Aeronautics and Space Administration (NASA), the Navy Aerosol Analysis and Prediction System (NAAPS) from Naval Research Laboratory, the Global Ensemble Forecast System Aerosols (GEFS), High-Resolution Rapid Refresh (HRRR), and National Oceanic and Atmospheric Administration-U.S. Environmental Protection Agency (NOAA-EPA) Atmosphere-Chemistry Coupler-Community Multiscale Air Quality model (NACC-CMAQ) from NOAA. The prototypes of HAQES products were developed by the George Mason University Air Quality Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST). proprietary
HAQES_NA_PM25_BC_COUNTY_1 HAQES 3-Hourly Ensemble mean surface PM2.5 Black Carbon concentration at county level, North America V1 (HAQES_NA_PM25_BC_COUNTY) at GES DISC GES_DISC STAC Catalog 2022-11-01 -132, 21, -58.5, 53.5 https://cmr.earthdata.nasa.gov/search/concepts/C2623694361-GES_DISC.umm_json This product provides HAQES 3-hourly ensemble mean surface PM2.5 Black Carbon concentration at the county level over the continental United States (CONUS). The Hazardous Air Quality Ensemble System (HAQES) is a real-time ensemble forecast of hazardous air quality events, such as wildfires, dust storms, and Volcanic eruptions. Both regional and global models from multiple agencies are used to create the ensemble, including the Goddard Earth Observing System (GEOS) from the National Aeronautics and Space Administration (NASA), the Navy Aerosol Analysis and Prediction System (NAAPS) from Naval Research Laboratory, the Global Ensemble Forecast System Aerosols (GEFS), High-Resolution Rapid Refresh (HRRR), and National Oceanic and Atmospheric Administration-U.S. Environmental Protection Agency (NOAA-EPA) Atmosphere-Chemistry Coupler-Community Multiscale Air Quality model (NACC-CMAQ) from NOAA. The prototypes of HAQES products were developed by the George Mason University Air Quality Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST). proprietary
@@ -7697,8 +7699,8 @@ HAWKEYE_L1_1 SeaHawk-1 HawkEye Level-1A Data, version 1 OB_CLOUD STAC Catalog 2
HAWKEYE_L2_OC_2022.0 SeaHawk-1 HawkEye Level-2 Regional Ocean Color (OC) Data, version 2022.0 OB_CLOUD STAC Catalog 2019-03-21 2023-10-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3160685780-OB_CLOUD.umm_json The Hawkeye instrument, flown onboard the SeaHawk CubeSat, was optimized to provide high quality, high resolution imagery (120 meter) of the open ocean, coastal zones, lakes, estuaries and land features. This ability provides a valuable complement to the lower resolution measurements from previous missions like SeaWiFS, MODIS and VIIRS. The SeaHawk CubeSat mission is a partnership between NASA and the University of North Carolina, Wilmington (UNCW), Cloudland Instruments and AAC-Clyde Space and is funded by the Moore Foundation under a grant for the Sustained Ocean Color Observations with Nanosatellites (SOCON). proprietary
HCDN_810_1 Monthly Climate Data for Selected USGS HCDN Sites, 1951-1990, R1 ORNL_CLOUD STAC Catalog 1951-01-01 1990-12-31 -125.15, 24.16, -66.74, 49.39 https://cmr.earthdata.nasa.gov/search/concepts/C2756285170-ORNL_CLOUD.umm_json Time series of monthly minimum and maximum temperature, precipitation, and potential evapotranspiration were derived for 1,469 watersheds in the conterminous United States for which stream flow measurements were also available from the national streamflow database, termed the Hydro-Climatic Data Network (HCDN), developed by Slack et al. (1993a,b). Monthly climate estimates were derived for the years 1951-1990.The climate characteristic estimates of temperature and precipitation were estimated using the PRISM (Daly et al. 1994, 1997) climate analysis system as described in Vogel, et al. 1999.Estimates of monthly potential evaporation were obtained using a method introduced by Hargreaves and Samani (1982) which is based on monthly time series of average minimum and maximum temperature data along with extraterrestrial solar radiation. Extraterrestrial solar radiation was estimated for each basin by computing the solar radiation over 0.1 degree grids using the method introduced by Duffie and Beckman (1980) and then summing those estimates for each river basin. This process is described in Sankarasubramanian, et al. (2001). Revision Notes: This data set has been revised to update the number of watersheds included in the data set and to updated the units for the potential evapotranspiration variable. Please see the Data Set Revisions section of this document for detailed information. proprietary
HDDS_Baseline_Adhoc HDDS_Baseline_Adhoc USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567950-USGS_LTA.umm_json The U.S. Geological Survey (USGS) Emergency Operations, in support of the Department of Homeland Security, provides imagery and resources for use in disaster preparations, rescue and relief operations, damage assessments, and reconstruction efforts. A variety of products, however ,not limited to, include: multiple types of satellite and aerial imagery, maps, products, presentations and data source documents. proprietary
-HE_DEM_5MIN 5 Minute Global Land and Seafloor Elevations: Hamilton Exploration ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214584956-SCIOPS.umm_json The following text was abstracted from Bruce Gittings' Digital Elevation Data Catalogue: 'http://www.geo.ed.ac.uk/home/ded.html'. The catalogue is a comprehensive source of information on digital elevation data and should be retrieved in its entirity for additional information. Global land and seafloor elevations exist... in ASCII on IBM-formatted floppy disk as a 5 degree quad at 5 arc second resolution for $75 or a one degree quad at 12 arc second resolution for $195 (designate the SW corner of the required quad in each case). Data may be redistributed for non commercial purposes only. The following data are available for each USGS 7.5' quadrangle. Data is arranged and sold by layers. Files are in AutoCAD format. Data is under copyright. Basic roads.............. $80 Enhanced roads.......... $100 Double line roads....... $150 Geographic names......... $40 County Lines............. $80 Township Range and Section Lines... $80 Contours................ $160 Terrain Relief Grid..... $160 Quicksurf Compatible x,y,z ascii... $160 proprietary
HE_DEM_5MIN 5 Minute Global Land and Seafloor Elevations: Hamilton Exploration SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214584956-SCIOPS.umm_json The following text was abstracted from Bruce Gittings' Digital Elevation Data Catalogue: 'http://www.geo.ed.ac.uk/home/ded.html'. The catalogue is a comprehensive source of information on digital elevation data and should be retrieved in its entirity for additional information. Global land and seafloor elevations exist... in ASCII on IBM-formatted floppy disk as a 5 degree quad at 5 arc second resolution for $75 or a one degree quad at 12 arc second resolution for $195 (designate the SW corner of the required quad in each case). Data may be redistributed for non commercial purposes only. The following data are available for each USGS 7.5' quadrangle. Data is arranged and sold by layers. Files are in AutoCAD format. Data is under copyright. Basic roads.............. $80 Enhanced roads.......... $100 Double line roads....... $150 Geographic names......... $40 County Lines............. $80 Township Range and Section Lines... $80 Contours................ $160 Terrain Relief Grid..... $160 Quicksurf Compatible x,y,z ascii... $160 proprietary
+HE_DEM_5MIN 5 Minute Global Land and Seafloor Elevations: Hamilton Exploration ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214584956-SCIOPS.umm_json The following text was abstracted from Bruce Gittings' Digital Elevation Data Catalogue: 'http://www.geo.ed.ac.uk/home/ded.html'. The catalogue is a comprehensive source of information on digital elevation data and should be retrieved in its entirity for additional information. Global land and seafloor elevations exist... in ASCII on IBM-formatted floppy disk as a 5 degree quad at 5 arc second resolution for $75 or a one degree quad at 12 arc second resolution for $195 (designate the SW corner of the required quad in each case). Data may be redistributed for non commercial purposes only. The following data are available for each USGS 7.5' quadrangle. Data is arranged and sold by layers. Files are in AutoCAD format. Data is under copyright. Basic roads.............. $80 Enhanced roads.......... $100 Double line roads....... $150 Geographic names......... $40 County Lines............. $80 Township Range and Section Lines... $80 Contours................ $160 Terrain Relief Grid..... $160 Quicksurf Compatible x,y,z ascii... $160 proprietary
HI176_hydrographic_survey_1 Hydrographic survey HI176 by the RAN Australian Hydrographic Service at Macquarie Island, December 1993 AU_AADC STAC Catalog 1993-12-18 1993-12-24 158.65, -55.133, 159, -54.333 https://cmr.earthdata.nasa.gov/search/concepts/C1214308650-AU_AADC.umm_json The RAN Australian Hydrographic Service conducted hydrographic survey HI176 at Macquarie Island in December 1993. The main survey area was adjacent to the north-east coast between North Head and The Nuggets. Survey lines were also followed part way down the west coast of the island and in the vicinity of Judge and Clerk Islets and Bishop and Clerk Islets. The survey dataset, which includes metadata, was provided to the Australian Antarctic Data Centre by the Australian Hydrographic Office and is available for download from a Related URL in this metadata record. The survey was lead by LT A.J.Withers. The data are not suitable for navigation. proprietary
HI242_hydrographic_survey_1 Hydrographic survey HI242 by the RAN Australian Hydrographic Service at Macquarie Island, November to December 1996 AU_AADC STAC Catalog 1996-11-28 1996-12-02 158.85, -54.533, 158.95, -54.467 https://cmr.earthdata.nasa.gov/search/concepts/C1214308651-AU_AADC.umm_json The RAN Australian Hydrographic Service conducted hydrographic survey HI242 at Macquarie Island in November and December 1996. The main survey areas were Buckles Bay and Hasselborough Bay. Survey lines were also followed from Elliott Reef down the west coast to Langdon Bay and down the east coast to Buckles Bay. The survey dataset, which includes metadata, was provided to the Australian Antarctic Data Centre by the Australian Hydrographic Office and is available for download from a Related URL in this metadata record. The survey was lead by LT M.A.R.Matthews. The data are not suitable for navigation. proprietary
HI256_hydrographic_survey_1 Hydrographic survey HI256 by the RAN Australian Hydrographic Service at Casey, February to April 1997 AU_AADC STAC Catalog 1997-02-09 1997-03-15 110.067, -66.406, 110.543, -66.113 https://cmr.earthdata.nasa.gov/search/concepts/C1214308652-AU_AADC.umm_json The RAN Australian Hydrographic Service conducted hydrographic survey HI256 at Casey, February to March 1997. The survey areas were north-west of the station near the Frazier Islands and Donovan Islands and south-west of the station between Beall Island and Holl Island. The survey dataset, which includes metadata, was provided to the Australian Antarctic Data Centre by the Australian Hydrographic Office and is available for download from a Related URL in this metadata record. The survey was lead by LT M.A.R.Matthews. The data are not suitable for navigation. proprietary
@@ -7814,8 +7816,8 @@ Heard_Island_digitising_2009_1 Heard Island digitising 2009 AU_AADC STAC Catalog
Heard_RadarSat_georef_1 Heard Island Radarsat Georeferencing Report, September 2002 AU_AADC STAC Catalog 2002-09-01 2002-09-30 73.24, -53.21, 73.9, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C1214313518-AU_AADC.umm_json The aim of the project was to derive a number of control points that could be used to georeference two Radarsat scenes over Heard Island. Control points were derived from aerial photography covering various locations around the island, namely: Cape Gazert, Atlas Cove, Brown Lagoon, Manning Lagoon and Winston Lagoon. ERDAS Imagine with OrthoBase Pro photogrammatric software was used to ortho-rectify the aerial photography and extract values for the derived control points. ERDAS Imagine OrthoRadar was used to georeference the Radarsat images. The measurements taken from the aerial photography have been described in an earlier report. proprietary
Heard_SPOT_georef_1 Heard Island Spot Georeferencing Report, May 2002 AU_AADC STAC Catalog 2002-05-01 2002-05-31 73.24, -53.21, 73.9, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C1214313478-AU_AADC.umm_json The aim of this project was to determine orientation parameters for two SPOT scenes over Heard Island using the control derived for the Radarsat Georeferencing project. ERDAS Imagine with OrthoBase Pro photogrammetric software was used to georeference the SPOT scenes. proprietary
Heard_WorldView-1_23MAR08_1 Heard Island WorldView-1 Image (23 March 2008) orthorectification AU_AADC STAC Catalog 2008-03-23 2008-03-23 73.24, -53.21, 73.9, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C1214308645-AU_AADC.umm_json The WorldView-1 image of Heard Island (23 March 2008) that was purchased by the Australian Antarctic Division (AAD) and the University of Tasmania (UTAS) in June 2008 has to be geometrically corrected to match the Quickbird and IKONOS imagery in the Australian Antarctic Data Centre (AADC) satellite image catalogue. In addition, the WorldView-1 imagery contains two separate image strips that cover the whole island. These strips were acquired at slightly different times from different angles during the satellite overpass. The discrepancy in acquisition angle has resulted in a geometric offset between the two image strips. These two image strips were orthorectified with a 10 m RADARSAT DEM (2002). The orthorectified images were then merged into a single image mosaic for the whole island. This work was completed as part of ASAC project 2939 (ASAC_2939). proprietary
-Heard_data_snapshot_1901-2002_1 A snapshot of Heard Island data from 1901-2002 held by the AADC AU_AADC STAC Catalog 1901-01-01 2002-12-31 73.24, -53.21, 73.9, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C1214313520-AU_AADC.umm_json The snapshot (originally produced on CD for a conference) was produced by the Australian Antarctic Data Centre for distribution to Heard Island expeditioners in the 2003/2004 season. The snapshot contained all publicly available data held by the Australian Antarctic Data Centre related to Heard Island at the time of production. The snapshot also contained all metadata held by the AADC at the time of production. Furthermore, information is also included from: AADC's gazetteer biodiversity database satellite image archive gis shapefiles heard island wilderness reserve management plan Finally, freely available software needed to browse some of the data are also included. proprietary
Heard_data_snapshot_1901-2002_1 A snapshot of Heard Island data from 1901-2002 held by the AADC ALL STAC Catalog 1901-01-01 2002-12-31 73.24, -53.21, 73.9, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C1214313520-AU_AADC.umm_json The snapshot (originally produced on CD for a conference) was produced by the Australian Antarctic Data Centre for distribution to Heard Island expeditioners in the 2003/2004 season. The snapshot contained all publicly available data held by the Australian Antarctic Data Centre related to Heard Island at the time of production. The snapshot also contained all metadata held by the AADC at the time of production. Furthermore, information is also included from: AADC's gazetteer biodiversity database satellite image archive gis shapefiles heard island wilderness reserve management plan Finally, freely available software needed to browse some of the data are also included. proprietary
+Heard_data_snapshot_1901-2002_1 A snapshot of Heard Island data from 1901-2002 held by the AADC AU_AADC STAC Catalog 1901-01-01 2002-12-31 73.24, -53.21, 73.9, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C1214313520-AU_AADC.umm_json The snapshot (originally produced on CD for a conference) was produced by the Australian Antarctic Data Centre for distribution to Heard Island expeditioners in the 2003/2004 season. The snapshot contained all publicly available data held by the Australian Antarctic Data Centre related to Heard Island at the time of production. The snapshot also contained all metadata held by the AADC at the time of production. Furthermore, information is also included from: AADC's gazetteer biodiversity database satellite image archive gis shapefiles heard island wilderness reserve management plan Finally, freely available software needed to browse some of the data are also included. proprietary
Heard_lichens_1980_1 Heard Island lichen samples collected by John Jenkin in 1980 AU_AADC STAC Catalog 1980-03-17 1980-03-27 73.24, -53.21, 73.9, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C1214313517-AU_AADC.umm_json A description of lichen samples collected from Heard Island during March of 1980. The samples were mostly collected by John Jenkin, but some other collectors were also used. On return to Australia, the samples were lodged with the Australian Antarctic Division Herbarium (Code- ADT) under the control of Rod Seppelt. The samples are distinguishable within the herbarium by their 3 digit code. The dataset details the date each collection was made on, as well as an approximate descriptive location. Unless otherwise specified, all samples were collected by John Jenkin. proprietary
Heard_veg_survey_86-88_1 Heard Island Vegetation Survey 1986-1987 and 1987-1988 AU_AADC STAC Catalog 1986-11-16 1988-03-02 73.24, -53.21, 73.9, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C1214308643-AU_AADC.umm_json Vegetation surveys were conducted on Heard Island during the 1986/87 and 1987/88 Australian National Antarctic Research Expeditions (ANARE). A stratified sampling approach was adopted. Given the limited time available for sampling, quadrats were placed to sample the bryophytic component of Hughes (1987) six visually recognizable broad vascular plant community categories as well as sampling distinct landscape features such as coastal areas, moraines, scoria cones, and lava fields. Ideally, this stratification would have ensured that the major environmental gradients on the island were detected. A total of 475, 1 x 1 m quadrats were surveyed during the 8-wk 1986/87 field period. Two hundred and fifty quadrats were randomly selected within 25 (10 x 10 m) sites. One hundred and eighty quadrats were positioned on transects over distinct landscape features. The remaining 45 quadrats were randomly located in visually different areas in isolated localities. Access to Heard Island is logistically difficult. Field time for our survey was short. Travel by foot was slow due to rough terrain and the use of helicopters was restricted by unfavorable weather conditions. Field work was conducted in three major ice-free areas on the island: the northwest areas encompassing Laurens Peninsula, Azorella Peninsula, and Mt. Drygalski; the eastern Spit Bay area; and the southern Long Beach area. The number of quadrats in each area reflects the time available (Laurens Peninsula, 119; Azorella Peninsula, 40; Mt. Drygalski, 10; Spit Bay, 250; Long Beach, 45; other areas 11. In each quadrat the following habitat characteristics were noted: location (mapped); geomorphological features (sand, moraine, clinker lava, and lava flow), and general notes on topography; altitude; general slope of the quadrat (irregularities in clinker lava sites made slope difficult to assess); aspect; unconsolidated substrate depth to bedrock or a maximum of 100 cm, using a 1-cm-diameter metal probe (this may be an organic base such as peat or an inorganic substrate such as moraine); availability of water, rated on a subjective five-point exponential scale ranging from 1 (very dry) to 5 (surface free water); exposure to wind, rated on a subjective five-point scale ranging from 1 (very exposed) to 5 (very protected); availability of light, rated on a five-point subjective scale ranging from 1 (exposed to full light conditions) to 5 (deep shade). In each quadrat, cover values using the Braun-Blanquet (1932) scale were recorded for all vascular plants, bryophytes (as a collective unit), bare ground, and rock. Notes on individual cover values for major bryophyte taxa were taken, and samples of bryophyte taxa were collected for identification. This work now falls under the auspices of the RiSCC project (ASAC_1015). The fields in this dataset are: Region Site Formation Environ Altitude (m) Species proprietary
Heavymetals-Gamms-Casey03-04_1 Heavy metal content of Paramoera walkeri (Eusiridae, Amphipoda) tissue - Short-term biomonitoring of Thala Valley Tip Clean-up, Casey, Summer 2003/04 AU_AADC STAC Catalog 2003-12-01 2004-02-19 110.4, -66.37, 110.58, -66.24 https://cmr.earthdata.nasa.gov/search/concepts/C1214308646-AU_AADC.umm_json The heavy metal content of whole Paramoera walkeri (Eusiridae, Amphipoda) were measured from specimens collected and deployed in experimental mesocosms around Casey station during the summer of 2003/04. Data are the parts per million (ppm) concentrations of 45 heavy metals measured via acid digestion and ICP-MS analysis. P.walkeri were collected from an intertidal area on the northern side of O'Brien Bay and deployed in mesocosms (perforated sample jars housed within perforated 20 litre food buckets) suspended approximately three metres below the sea ice at four sites; two potentially impacted sites in Brown Bay and two control sites, O'Brien Bay and McGrady Cove. The experiment was run on three occasions during the summer each lasting two weeks. These data were collected as part of ASAC project 2201 (ASAC_2201 - Natural variability and human induced change in Antarctic nearshore marine benthic communities). See also other metadata records by Glenn Johnstone for related information. proprietary
@@ -7837,8 +7839,8 @@ IASI_SST_METOP_A-OSISAF-L2P-v1.0_1 GHRSST Level 2P Global skin Sea Surface Tempe
IASI_SST_METOP_B-OSISAF-L2P-v1.0_1 GHRSST Level 2P Global skin Sea Surface Temperature from the Infrared Atmospheric Sounding Interferometer (IASI) on the Metop-B satellite (GDS V2) produced by OSI SAF POCLOUD STAC Catalog 2016-01-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036877829-POCLOUD.umm_json A Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Infrared Atmospheric Sounding Interferometer (IASI) on the European Meteorological Operational-B (MetOp-B)satellite (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT),Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from METOP/IASI. The Infrared Atmospheric Sounding Interferometer (IASI) measures inthe infrared part of the electromagnetic spectrum at a horizontal resolution of 12 km at nadir up to40km over a swath width of about 2,200 km. With 14 orbits in a sun-synchronous mid-morningorbit (9:30 Local Solar Time equator crossing, descending node) global observations can beprovided twice a day. The SST retrieval is performed and provided by the IASI L2 processor atEUMETSAT headquarters. The product format is compliant with the GHRSST Data Specification(GDS) version 2. proprietary
ICEPAR_1 Integrated PAR exposure of sea ice in East Antarctica AU_AADC STAC Catalog 1979-03-01 2004-11-01 30, -70, 150, -55 https://cmr.earthdata.nasa.gov/search/concepts/C1214311125-AU_AADC.umm_json The data comprise images (encapsulated postscript and PNG formats) showing the integrated solar irradiance exposure of sea ice. The exposure value for ice at a given grid point was calculated by computing the motion trajectory of that patch of ice across the autumn/winter season (1-March to 1-November). Daily motion data were obtained from the National Snow and Ice Data Center (http://nsidc.org/data/nsidc-0116.html). The integrated radiation exposure was then calculated using daily estimates of downward solar flux from the NCEP/NCAR re-analyses. The values shown in the images are cumulative photosynthetically active radiation expressed in W-days/m^2. Please contact the data custodian before using these data. This work was done as part of ASAC project 2943 (ASAC_2943). See the link below for public details about the project. proprietary
ICESCAPE_0 Impacts of Climate on the Eco-Systems and Chemistry of the Arctic Pacific Environment (ICESCAPE) OB_DAAC STAC Catalog 2010-06-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360375-OB_DAAC.umm_json Impacts of Climate on the Eco-Systems and Chemistry of the Arctic Pacific Environment (ICESCAPE) was a multi-year NASA shipborne project. The bulk of the research took place in the Beaufort and Chukchi Seas in the summers of 2010 and 2011. proprietary
-ICESheet_Antarctic_474 A dynamic early East Antarctic Ice Sheet suggested by ice-covered fjord landscapes SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214597991-SCIOPS.umm_json The East Antarctic ice sheet has played a fundamental part in modulating climate and sea level during the past 30 million years. Understanding its history is crucial to evaluating its future behaviour and response to global warming. Airborne ice-penetrating radar studies now reveal a fjord-like landscape beneath several kilometres of ice in the East Antarctic Aurora subglacial basin. The data confirm, and provide a new constraint on, the magnitude and dynamics of the oscillations of the East Antarctic ice sheet during the late Cenozoic, which had previously been supported only by marine cores. proprietary
ICESheet_Antarctic_474 A dynamic early East Antarctic Ice Sheet suggested by ice-covered fjord landscapes ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214597991-SCIOPS.umm_json The East Antarctic ice sheet has played a fundamental part in modulating climate and sea level during the past 30 million years. Understanding its history is crucial to evaluating its future behaviour and response to global warming. Airborne ice-penetrating radar studies now reveal a fjord-like landscape beneath several kilometres of ice in the East Antarctic Aurora subglacial basin. The data confirm, and provide a new constraint on, the magnitude and dynamics of the oscillations of the East Antarctic ice sheet during the late Cenozoic, which had previously been supported only by marine cores. proprietary
+ICESheet_Antarctic_474 A dynamic early East Antarctic Ice Sheet suggested by ice-covered fjord landscapes SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214597991-SCIOPS.umm_json The East Antarctic ice sheet has played a fundamental part in modulating climate and sea level during the past 30 million years. Understanding its history is crucial to evaluating its future behaviour and response to global warming. Airborne ice-penetrating radar studies now reveal a fjord-like landscape beneath several kilometres of ice in the East Antarctic Aurora subglacial basin. The data confirm, and provide a new constraint on, the magnitude and dynamics of the oscillations of the East Antarctic ice sheet during the late Cenozoic, which had previously been supported only by marine cores. proprietary
ICEVOLC_FlowerKahn2020_1 MISR Derived Case Study Data for Iceland Volcanic Eruptions (Eyjafjallajokull, Grimsvotn, Holuhraun) Including Geometric Plume Height and Qualitative Radiometric Particle Property Information LARC_ASDC STAC Catalog 2010-04-15 2015-02-21 -30, 50, 5, 70 https://cmr.earthdata.nasa.gov/search/concepts/C1935878448-LARC_ASDC.umm_json This dataset comprises MISR-derived output from a comprehensive analysis of Icelandic volcano eruptions (Eyjafjallajokull 2010, Grimsvotn 2011, Holuhraun 2014-2015). The data presented here are analyzed and discussed in the following paper: Flower, V.J.B., and R.A. Kahn, 2020. The evolution of Icelandic volcano emissions, as observed from space in the era of NASA’s Earth Observing System (EOS). J. Geophys. Res. Atmosph. (in press). The data is subdivided by volcano of origin, date and MISR orbit number. Within each case folder there are up to 11 files relating to an individual MISR overpass. Files include plume height records (from both the red and blue spectral bands) derived from the MISR INteractive eXplorer (MINX) program, displayed in: map view, downwind profile plot (along with the associated wind vectors retrieved at plume elevation), a histogram of retrieved plume heights and a text file containing the digital plume height values. An additional JPG is included delineating the plume analysis region, start point for assessing downwind distance, and input wind direction used to initialize the MINX retrieval. A final two files are generated from the MISR Research Aerosol (RA) retrieval algorithm (Limbacher, J.A., and R.A. Kahn, 2014. MISR Research-Aerosol-Algorithm: Refinements For Dark Water Retrievals. Atm. Meas. Tech. 7, 1-19, doi:10.5194/amt-7-1-2014). These files include the RA model output in HDF5, and an associated JPG of key derived variables (e.g. Aerosol Optical Depth, Angstrom Exponent, Single Scattering Albedo, Fraction of Non-Spherical components, model uncertainty classifications and example camera views). File numbers per folder vary depending on the retrieval conditions of specific observations. RA plume retrievals are limited when cloud cover was widespread or the solar radiance was insufficient to run the RA. In these cases the RA files are not included in the individual folders. proprietary
ICEYE.ESA.Archive_8.0 ICEYE ESA archive ESA STAC Catalog 2018-12-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547579173-ESA.umm_json "The ICEYE ESA archive collection consists of ICEYE Level 1 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Three different modes are available: • Spot: with a slant resolution of 50 cm in range by 25 cm in azimuth that translated into the ground generates a ground resolution of 1 m over an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced. • Strip: the ground swath is 30 x 50 km2 and the ground range resolution is 3 m. • Scan: a large area (100km x 100kmis acquired with ground resolution of 15m. Two different processing levels: • Single Look Complex (SLC): Level 1A geo-referenced product and stored in the satellite's native image acquisition geometry (the slant imaging plane) • Ground Range Detected (GRD): Level 1B product; detected, multi-looked and projected to ground range using an Earth ellipsoid model; the image coordinates are oriented along the flight direction and along the ground range; no image rotation to a map coordinate system is performed, interpolation artefacts not introduced. The following table defines the offered product types EO-SIP product type Mode Processing level XN_SM__SLC Strip Single Look Complex (SLC) - Level 1A XN_SM__GRD Strip Ground Range Detected (GRD) - Level 1B XN_SL__SLC Spot Single Look Complex (SLC) - Level 1A XN_SL__GRD Spot Ground Range Detected (GRD) - Level 1B XN_SR__GRD Scan Ground Range Detected (GRD) - Level 1B" proprietary
ICEYE_9.0 ICEYE full archive and tasking ESA STAC Catalog 2018-12-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336914-ESA.umm_json "ICEYE full archive and new tasking products are available in Strip, Spot, SLEA (Spot Extended Area), Scan, and Dwell modes: • Strip instrument mode: the ground swath is illuminated with a continuous sequence of pulses while the antenna beam is fixed in its orientation. This results in a long image strip parallel to the flight direction: the transmitted pulse bandwidth is adjusted to always achieve a ground range resolution of 3 m • Spot instrument mode: the radar beam is steered to illuminate a fixed point to increase the illumination time, resulting in an extended Synthetic aperture length, which improves the azimuth resolution. Spot mode uses a 300 MHz pulse bandwidth and provides a slant plane image with a resolution of 0.5 m (range) by 0.25 m (azimuth); when translated into the ground, the products has 1 m resolution covering an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced • As an evolution of Spot mode, SLEA (Spot Extended Area) products are available with the same resolution of Spot data but a scene size of 15 km x 15 km • Scan Instrument mode: the phased array antenna is used to create multiple beams in the elevation direction which allows to acquire a large area (100km x 100km) with resolution better than 15m. To achieve the finest image quality of its Scan image, ICEYE employs a TOPSAR technique, which brings major benefits over the quality of the images obtained with conventional SCANSAR imaging. With the 2-dimensional electronic beam steering, TOPSAR ensures the maximum radar power distribution in the scene, providing uniform image quality. • Dwell mode: with the satellite staring at the same location for up to 25 seconds, Dwell mode is a very long Spot mode SAR collection. This yields a very fine azimuth resolution and highly-reduced speckle. The 25 second collection time allows the acquired image stack to be reconstructed as a video to give insight into the movement of objects. Two different processing levels can be requested: • Single Look Complex (SLC): Single Look Complex (SLC) Level 1a products consist of focused SAR data geo-referenced using orbit and attitude data from the satellite and the scenes are stored in the satellite's native image acquisition geometry which is the slant-range-by-azimuth imaging plane and with zero-Doppler SAR coordinates. The pixels are spaced equidistant in azimuth and in slant range. The products include a single look in each dimension using the full transmit signal bandwidth and consist of complex magnitude value samples preserving both amplitude and phase information. No radiometric artefacts induced by spatial resampling or geocoding. The product is provided in Hierarchical Data Format (HDF5) plus a xml file with selected metadata • Ground Range Detected (GRD): Ground Range Detected (GRD) Level 1b products consist of focused SAR data that has been detected, multi-looked and projected to ground range using an Earth ellipsoid model. The image coordinates are oriented along the flight direction and along the ground range. Pixel values represent detected magnitude, the phase information is lost. The resulting product has approximately square spatial resolution pixels and square pixel spacing with reduced speckle due to the multi-look processing at the cost of worse spatial resolution. No image rotation to a map coordinate system has been performed and interpolation artefacts are thus avoided. The product is provided in GeoTiff plus a xml file with selected metadata. Strip Spot SLEA Scan Dwell Ground range resolution (GRD) 3 m 1 m 1 m 15 m 1 m Ground azimuth resolution (GRD) 3 m 1 m 1 m 15 m 1 m Slant range resolution (SLC) 0.5 m - 2.5 m 0.5 m 0.5 m 0.5 m Slant azimuth resolution (SLC) 3 m 0.25 m 1 m 0.05 m Scene size (W x L) 30 x 50 km2 5 x 5 km2 15 x 15 km2 100 x 100 km2 5 x 5 km2 Incident angle 15 - 30° 20 - 35° 20 - 35° 21 - 29° 20 - 35° Polarisation VV All details about the data provision, data access conditions and quota assignment procedure are described in the _$$ICEYE Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/ICEYE-Terms-Of-Applicability.pdf . In addition, ICEYE has released a _$$public catalogue$$ https://www.iceye.com/lp/iceye-18000-public-archive that contains nearly 18,000 thumbnails under a creative common license of radar images acquired with ICEYE's SAR satellite constellation all around the world from 2019 until October 2020. Access to the catalogue requires registration." proprietary
@@ -7861,10 +7863,10 @@ ICId0021_202 IRS Pan 104-052 of 23 Nov 1996 CEOS_EXTRA STAC Catalog 1970-01-01
ICId0023_202 Landsat TM 140-040 of 22 Sep 1992 CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2232848244-CEOS_EXTRA.umm_json Landsat TM 140-040 of 22 Sep 1992 Satellite image proprietary
ICId0028_202 Landsat TM 141-41 Q2 of 24 Jan 89 CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2232849271-CEOS_EXTRA.umm_json Landsat TM 141-41 Q2 of 24 Jan 89 Satellite image proprietary
ICO_Casey_1 In situ chemical oxidisation (ICO) of petroleum hydrocarbons at old Casey Station AU_AADC STAC Catalog 1999-12-01 2001-12-28 110.3, -66.5, 110.75, -66.2333 https://cmr.earthdata.nasa.gov/search/concepts/C1214313554-AU_AADC.umm_json In-situ chemical oxidation (ICO) is a remediation technology that involves the addition of chemicals to the substrate that degrade contaminants through oxidation processes. This series of field experiments conducted at the Old Casey Powerhouse/Workshop investigate the potential for the use of ICO technology in Antarctica on petroleum hydrocarbon contaminated sediments. Surface application was made using 12.5% sodium hyperchlorite, 6.25% sodium hydrechlorite, 30% hydrogen peroxide and Fentons Reagent (sodium hypchlorite with an iron catalyst) on five separate areas of petroleum hydrocarbon contaminated sediments. Sampling was conducted before and after chemical application from the top soil section (0 - 5 cm) and at depth (10 - 15 cm). The data are stored in an excel file. This work was completed as part of ASAC project 1163 (ASAC_1163). The spreadsheet is divided up as follows: The first 51 sheets are the raw GC-FID data for the 99/00 field season, labelled by sample name. These sheets use the same format as the radiometric GC-FID spreadsheet in the metadata record entitled 'Mineralisation results using 14C octadecane at a range of temperatures'. Sample name format consists of a location or experiment indicator (CW=Casey Workshop, BR= Small-scale field trial), the year the sample was collected (00=2000), the sample type (S=Soil) and a sequence number. SUMMARY and PRINTABLE VERSION are the same data in different formats, PRINTABLE VERSION is printer friendly. This summary data includes the hydrocarbon concentrations corrected for dry weight of soil and biodegradation and weathering indices. GRAPHS are graphs. FIELD MEASUREMENTS show the results of the measurements taken in the field and include PID (ppm), Soil temperature (C), Air temperature (C), Ph and MC (moisture content) (%). NOTES shows the chemicals added to each trial, and a short summary of the samples. The next 21 sheets show the raw GC-FID data for the 00/01 field season, labelled to previously explained method. PRINTABLE (0001) is a summary of the raw GC-FID data. The next 3 sheets show the raw GC-FID data for the 01/02 field season, labelled to previously explained method. PRINTABLE (0102) is a summary of the raw GC-FID data. MPN-NOTES shows lab book references and set up summary for the Most Probable Number (MPN) analysis. MPN-DETAILS shows the set up details, calculations and results for each MPN analysis. MPN-RESULTS shows the raw MPN data. MPN-Calculations show the results from the MPN Calculator. The fields in the dataset are: Retention Time Area % Area Height of peak Amount Int Type Units Peak Type Codes proprietary
-ICRAF_AfSIS_AfrHySRTM Africa Soil Information Service (AfSIS): Hydrologically Corrected/Adjusted SRTM DEM (AfrHySRTM) ALL STAC Catalog 1970-01-01 -17.535833, -34.83917, 51.413334, 37.345833 https://cmr.earthdata.nasa.gov/search/concepts/C1214155420-SCIOPS.umm_json The Africa Soil Information Service: Hydrologically Corrected/Adjusted SRTM DEM (AfrHySRTM) is an adjusted elevation raster in which any depressions in the source Digital Elevation Model (DEM) have been eliminated (filled), but allowing for internal drainage since some landscapes contain natural depressions. These landscapes have their own internal drainage systems, which are not connected to adjacent watersheds. Null cells (drains) were placed in depressions exceeding a depth limit of 20 m and with no less than 1000 cells (pixels) during the DEM adjustment process. After filling depressions in the DEM, flowpaths can also be generated. AfrHySRTM uses the CGIAR-CSI SRTM 90m Version 4 as the source DEM The dataset was produced at the World Agroforestry Centre (ICRAF) in Nairobi, Kenya and is distributed by the Africa Soil Information Service. The purpose of the dataset is to serve a wide user community by providing a Digital Elevation Model for the continent of Africa that can be used to predict soil properties as well as for a range of other applications, including erosion and landslide risk. The images and data are available from the Africa Soil Information Service (AfSIS) in Geographic Tagged Image File Format (GeoTIFF) format via download at http://africasoils.net/. proprietary
ICRAF_AfSIS_AfrHySRTM Africa Soil Information Service (AfSIS): Hydrologically Corrected/Adjusted SRTM DEM (AfrHySRTM) SCIOPS STAC Catalog 1970-01-01 -17.535833, -34.83917, 51.413334, 37.345833 https://cmr.earthdata.nasa.gov/search/concepts/C1214155420-SCIOPS.umm_json The Africa Soil Information Service: Hydrologically Corrected/Adjusted SRTM DEM (AfrHySRTM) is an adjusted elevation raster in which any depressions in the source Digital Elevation Model (DEM) have been eliminated (filled), but allowing for internal drainage since some landscapes contain natural depressions. These landscapes have their own internal drainage systems, which are not connected to adjacent watersheds. Null cells (drains) were placed in depressions exceeding a depth limit of 20 m and with no less than 1000 cells (pixels) during the DEM adjustment process. After filling depressions in the DEM, flowpaths can also be generated. AfrHySRTM uses the CGIAR-CSI SRTM 90m Version 4 as the source DEM The dataset was produced at the World Agroforestry Centre (ICRAF) in Nairobi, Kenya and is distributed by the Africa Soil Information Service. The purpose of the dataset is to serve a wide user community by providing a Digital Elevation Model for the continent of Africa that can be used to predict soil properties as well as for a range of other applications, including erosion and landslide risk. The images and data are available from the Africa Soil Information Service (AfSIS) in Geographic Tagged Image File Format (GeoTIFF) format via download at http://africasoils.net/. proprietary
-ICRAF_AfSIS_SCA Africa Soil Information Service (AfSIS): Specific Catchment Area (SCA) ALL STAC Catalog 1970-01-01 -17.535833, -34.83917, 51.413334, 37.345833 https://cmr.earthdata.nasa.gov/search/concepts/C1214155401-SCIOPS.umm_json The Africa Soil Information Service (AfSIS): Specific Catchment Area (SCA) is a 90m raster dataset showing local flow accumulation and flow direction using the formula SCA = A/I, where A is unit contributing area of land upslope of a length of contour I. The specific catchment area contributing to flow at any given location can be used to determine relative saturation and water runoff and, together with other topographic factors, can be used to model erosion and landslides. The digital elevation model used to construct this dataset is AfHydSRTM, which is based on the CGIAR-SRTM 90m Version 4. The dataset was produced at the World Agroforestry Centre (ICRAF) in Nairobi, Kenya and is distributed by the Africa Soil Information Service. The specific catchment area is a useful parameter for modeling of runoff, soil erosion and sediment yield.The images and data are available from the Africa Soil Information Service (AfSIS) in Geographic Tagged Image File Format (GeoTIFF) format via download at http://africasoils.net/. proprietary
+ICRAF_AfSIS_AfrHySRTM Africa Soil Information Service (AfSIS): Hydrologically Corrected/Adjusted SRTM DEM (AfrHySRTM) ALL STAC Catalog 1970-01-01 -17.535833, -34.83917, 51.413334, 37.345833 https://cmr.earthdata.nasa.gov/search/concepts/C1214155420-SCIOPS.umm_json The Africa Soil Information Service: Hydrologically Corrected/Adjusted SRTM DEM (AfrHySRTM) is an adjusted elevation raster in which any depressions in the source Digital Elevation Model (DEM) have been eliminated (filled), but allowing for internal drainage since some landscapes contain natural depressions. These landscapes have their own internal drainage systems, which are not connected to adjacent watersheds. Null cells (drains) were placed in depressions exceeding a depth limit of 20 m and with no less than 1000 cells (pixels) during the DEM adjustment process. After filling depressions in the DEM, flowpaths can also be generated. AfrHySRTM uses the CGIAR-CSI SRTM 90m Version 4 as the source DEM The dataset was produced at the World Agroforestry Centre (ICRAF) in Nairobi, Kenya and is distributed by the Africa Soil Information Service. The purpose of the dataset is to serve a wide user community by providing a Digital Elevation Model for the continent of Africa that can be used to predict soil properties as well as for a range of other applications, including erosion and landslide risk. The images and data are available from the Africa Soil Information Service (AfSIS) in Geographic Tagged Image File Format (GeoTIFF) format via download at http://africasoils.net/. proprietary
ICRAF_AfSIS_SCA Africa Soil Information Service (AfSIS): Specific Catchment Area (SCA) SCIOPS STAC Catalog 1970-01-01 -17.535833, -34.83917, 51.413334, 37.345833 https://cmr.earthdata.nasa.gov/search/concepts/C1214155401-SCIOPS.umm_json The Africa Soil Information Service (AfSIS): Specific Catchment Area (SCA) is a 90m raster dataset showing local flow accumulation and flow direction using the formula SCA = A/I, where A is unit contributing area of land upslope of a length of contour I. The specific catchment area contributing to flow at any given location can be used to determine relative saturation and water runoff and, together with other topographic factors, can be used to model erosion and landslides. The digital elevation model used to construct this dataset is AfHydSRTM, which is based on the CGIAR-SRTM 90m Version 4. The dataset was produced at the World Agroforestry Centre (ICRAF) in Nairobi, Kenya and is distributed by the Africa Soil Information Service. The specific catchment area is a useful parameter for modeling of runoff, soil erosion and sediment yield.The images and data are available from the Africa Soil Information Service (AfSIS) in Geographic Tagged Image File Format (GeoTIFF) format via download at http://africasoils.net/. proprietary
+ICRAF_AfSIS_SCA Africa Soil Information Service (AfSIS): Specific Catchment Area (SCA) ALL STAC Catalog 1970-01-01 -17.535833, -34.83917, 51.413334, 37.345833 https://cmr.earthdata.nasa.gov/search/concepts/C1214155401-SCIOPS.umm_json The Africa Soil Information Service (AfSIS): Specific Catchment Area (SCA) is a 90m raster dataset showing local flow accumulation and flow direction using the formula SCA = A/I, where A is unit contributing area of land upslope of a length of contour I. The specific catchment area contributing to flow at any given location can be used to determine relative saturation and water runoff and, together with other topographic factors, can be used to model erosion and landslides. The digital elevation model used to construct this dataset is AfHydSRTM, which is based on the CGIAR-SRTM 90m Version 4. The dataset was produced at the World Agroforestry Centre (ICRAF) in Nairobi, Kenya and is distributed by the Africa Soil Information Service. The specific catchment area is a useful parameter for modeling of runoff, soil erosion and sediment yield.The images and data are available from the Africa Soil Information Service (AfSIS) in Geographic Tagged Image File Format (GeoTIFF) format via download at http://africasoils.net/. proprietary
ICRAF_AfSIS_TWI Africa Soil Information Service (AfSIS): Topographic Wetness Index (TWI) ALL STAC Catalog 1970-01-01 -17.535833, -34.83917, 51.413334, 37.345833 https://cmr.earthdata.nasa.gov/search/concepts/C1214155403-SCIOPS.umm_json The Africa Soil Information Service (AfSIS): Topographic Wetness Index (TWI) is a 90m raster dataset showing zones of increased soil moisture where the landscape area contributing runoff is large and slopes are low. The topographic wetness index, originally developed by Beven and Kirkby in 1979, provides a measure of wetness conditions at the catchment scale. This dataset combines local upslope contributing area and slope using the digital elevation model AfHydSRTM, which is based on the CGIAR-SRTM 90m Version 4. The dataset was produced at the World Agroforestry Centre (ICRAF) in Nairobi, Kenya and is distributed by the Africa Soil Information Service. This index is commonly used in soil landscape modeling and in the analysis of vegetation patterns. The images and data are available from the Africa Soil Information Service (AfSIS) in Geographic Tagged Image File Format (GeoTIFF) format via download at http://africasoils.net/. proprietary
ICRAF_AfSIS_TWI Africa Soil Information Service (AfSIS): Topographic Wetness Index (TWI) SCIOPS STAC Catalog 1970-01-01 -17.535833, -34.83917, 51.413334, 37.345833 https://cmr.earthdata.nasa.gov/search/concepts/C1214155403-SCIOPS.umm_json The Africa Soil Information Service (AfSIS): Topographic Wetness Index (TWI) is a 90m raster dataset showing zones of increased soil moisture where the landscape area contributing runoff is large and slopes are low. The topographic wetness index, originally developed by Beven and Kirkby in 1979, provides a measure of wetness conditions at the catchment scale. This dataset combines local upslope contributing area and slope using the digital elevation model AfHydSRTM, which is based on the CGIAR-SRTM 90m Version 4. The dataset was produced at the World Agroforestry Centre (ICRAF) in Nairobi, Kenya and is distributed by the Africa Soil Information Service. This index is commonly used in soil landscape modeling and in the analysis of vegetation patterns. The images and data are available from the Africa Soil Information Service (AfSIS) in Geographic Tagged Image File Format (GeoTIFF) format via download at http://africasoils.net/. proprietary
IDBMG4_5 IceBridge BedMachine Greenland V005 NSIDC_ECS STAC Catalog 1993-01-01 2021-12-31 -80, 60, 10, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2420522159-NSIDC_ECS.umm_json This data set contains a bed topography/bathymetry map of Greenland based on mass conservation, multi-beam data, and other techniques. It also includes surface elevation and ice thickness data, as well as an ice/ocean/land mask. proprietary
@@ -7875,8 +7877,8 @@ IES Irrigation Equipment Supply Database CEOS_EXTRA STAC Catalog 1970-01-01 -18
IGBGM1B_1 IceBridge BGM-3 Gravimeter L1B Time-Tagged Accelerations V001 NSIDC_ECS STAC Catalog 2008-12-31 2011-12-23 -180, -90, 180, -53 https://cmr.earthdata.nasa.gov/search/concepts/C1000000360-NSIDC_ECS.umm_json This data set contains vertical acceleration values for Antarctica using the BGM-3 Gravimeter. The data were collected by scientists working on the the International Collaborative Exploration of the Cryosphere through Airborne Profiling (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge. proprietary
IGBGM2_1 IceBridge BGM-3 Gravimeter L2 Geolocated Free Air Anomalies V001 NSIDC_ECS STAC Catalog 2009-01-08 2011-12-21 -180, -90, 180, -53 https://cmr.earthdata.nasa.gov/search/concepts/C1000000341-NSIDC_ECS.umm_json This data set contains free air anomaly measurements taken over Antarctica using the BGM-3 Gravimeter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge. proprietary
IGBP-DIS_565_1 Global Soil Data Products CD-ROM Contents (IGBP-DIS) ORNL_CLOUD STAC Catalog 1995-01-01 1996-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2216880820-ORNL_CLOUD.umm_json This dataset contains global data on soil properties, global maps of soil distributions, and the SoilData System developed by the International Geosphere-Biosphere Programme Data and Information System (IGBP-DIS). These data were originally distributed on CD-ROM, but are provided here as a single zip file. The SoilData System allows users to generate soil information and maps for geographic regions at soil depths and resolutions selected by the user. Derived surfaces of carbon density, nutrient status, water-holding capacity, and heat capacity are provided for modeling and inventory purposes. proprietary
-IGBP-DIS_FIRE_SPAIN Active Fire Detection in Eastern Spain ALL STAC Catalog 1994-07-04 1994-07-08 -2, 37, 3, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1214605678-SCIOPS.umm_json The Fire Product: Active Fire Detection in Eastern Spain was part of the International Geosphere-Biosphere Programme Data and Information System (IGBP-DIS) Regional Satellite Fire Data Compilation CD-ROM. Six large scale forest fires which took place in Eastern Spain from July 4 through July 8, 1994 have been detected by means of NOAA-11 Advanced Very High Resolution Radiometer (AVHRR) infrared images. Detection was carried out using the difference of the brightness temperatures recorded in the channel 3 (middle infrared) and channel 4 (thermal infrared), processed by an automatic procedure developed in the University of Valladolid, Laboratory of Remote Sensing (LATUV). Detection performed along the period allows a monitoring of the active focus evolution. proprietary
IGBP-DIS_FIRE_SPAIN Active Fire Detection in Eastern Spain SCIOPS STAC Catalog 1994-07-04 1994-07-08 -2, 37, 3, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1214605678-SCIOPS.umm_json The Fire Product: Active Fire Detection in Eastern Spain was part of the International Geosphere-Biosphere Programme Data and Information System (IGBP-DIS) Regional Satellite Fire Data Compilation CD-ROM. Six large scale forest fires which took place in Eastern Spain from July 4 through July 8, 1994 have been detected by means of NOAA-11 Advanced Very High Resolution Radiometer (AVHRR) infrared images. Detection was carried out using the difference of the brightness temperatures recorded in the channel 3 (middle infrared) and channel 4 (thermal infrared), processed by an automatic procedure developed in the University of Valladolid, Laboratory of Remote Sensing (LATUV). Detection performed along the period allows a monitoring of the active focus evolution. proprietary
+IGBP-DIS_FIRE_SPAIN Active Fire Detection in Eastern Spain ALL STAC Catalog 1994-07-04 1994-07-08 -2, 37, 3, 42 https://cmr.earthdata.nasa.gov/search/concepts/C1214605678-SCIOPS.umm_json The Fire Product: Active Fire Detection in Eastern Spain was part of the International Geosphere-Biosphere Programme Data and Information System (IGBP-DIS) Regional Satellite Fire Data Compilation CD-ROM. Six large scale forest fires which took place in Eastern Spain from July 4 through July 8, 1994 have been detected by means of NOAA-11 Advanced Very High Resolution Radiometer (AVHRR) infrared images. Detection was carried out using the difference of the brightness temperatures recorded in the channel 3 (middle infrared) and channel 4 (thermal infrared), processed by an automatic procedure developed in the University of Valladolid, Laboratory of Remote Sensing (LATUV). Detection performed along the period allows a monitoring of the active focus evolution. proprietary
IGBP-SurfaceProducts_569_1 Global Gridded Surfaces of Selected Soil Characteristics (IGBP-DIS) ORNL_CLOUD STAC Catalog 1950-01-01 1996-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2216863098-ORNL_CLOUD.umm_json Global data-surfaces pre-generated by SoilData, at a resolution of 5x5 arc-minutes, in ASCII GRID format for ARC INFO, and for the soil depth interval 0-100 cm. proprietary
IGBTH4_1 IceBridge Sander AIRGrav L4 Bathymetry V001 NSIDC_ECS STAC Catalog 2010-01-01 2016-12-31 -135, -75, -17, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1000000300-NSIDC_ECS.umm_json This data set contains bathymetry of Arctic fjords and Antarctic ice shelves based on measurements from the Sander Geophysics Airborne Inertially Referenced Gravimeter (AIRGrav) system. The data were collected as part of Operation IceBridge funded aircraft survey campaigns. proprietary
IGCMG1B_1 IceBridge CMG 1A Dynamic Gravity Meter Time-Tagged L1B Vertical Accelerations V001 NSIDC_ECS STAC Catalog 2012-11-13 2013-01-14 -180, -90, 180, -53 https://cmr.earthdata.nasa.gov/search/concepts/C1000001541-NSIDC_ECS.umm_json This data set contains vertical acceleration values for Antarctica using the CMG 1A dynamic gravity meter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge. proprietary
@@ -8033,8 +8035,8 @@ Image2007_8.0 Image 2007 European coverage ESA STAC Catalog 2007-04-07 2007-10-0
Imnavait_Creek_Veg_Maps_1385_1 Maps of Vegetation Types and Physiographic Features, Imnavait Creek, Alaska ORNL_CLOUD STAC Catalog 1970-06-01 2015-08-31 -149.38, 68.61, -149.26, 68.63 https://cmr.earthdata.nasa.gov/search/concepts/C2162118945-ORNL_CLOUD.umm_json This dataset provides the spatial distribution of vegetation types, soil carbon, and physiographic features in the Imnavait Creek area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology. Data are also provided on the research grids for georeferencing. The map data are from a variety of sources and encompass the period 1970-06-01 to 2015-08-31. proprietary
Imnavait_Creek_Veg_Plots_1356_1 Arctic Vegetation Plots at Imnavait Creek, Alaska, 1984-1985 ORNL_CLOUD STAC Catalog 1984-08-01 1985-09-01 -149.32, 68.6, -149.23, 68.62 https://cmr.earthdata.nasa.gov/search/concepts/C2170969535-ORNL_CLOUD.umm_json This dataset provides environmental, soil, and vegetation data collected during the periods of August 1984 and August-September 1985 from 84 study plots at the Imnavait Creek research site. Imnavait Creek is located in a shallow basin at the foothills of the central Brooks Range. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in 14 plant communities that occur in 19 broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species, cover, indices, and biomass pools; soil chemistry, physical characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping, and analysis of geo-botanical factors in the Imnavait Creek region and across Alaska. proprietary
InSAR_Prudhoe_Bay_1267_1 Pre-ABoVE: Remotely Sensed Active Layer Thickness, Prudhoe Bay, Alaska, 1992-2000 ORNL_CLOUD STAC Catalog 1992-01-01 2000-12-31 -149.5, 69.95, -146.99, 70.45 https://cmr.earthdata.nasa.gov/search/concepts/C2170968546-ORNL_CLOUD.umm_json Active layer thickness (ALT) is a critical parameter for monitoring the status of permafrost that is typically measured at specific locations using probing, in situ temperature sensors, or other ground-based observations. The thickness of the active layer is the average annual thaw depth, in permafrost areas, due to solar heating of the surface. This data set includes the mean Remotely Sensed Active Layer Thickness (ReSALT) over years 1992 to 2000 for an area near Prudhoe Bay, Alaska. The data were produced by an Interferometric Synthetic Aperture Radar (InSAR) technique that measures seasonal surface subsidence and infers ALT. ReSALT estimates were validated by comparison with ground-based ALT measurements at multiple sites. These results indicate remote sensing techniques based on InSAR could be an effective way to measure and monitor ALT over large areas on the Arctic coastal plain.These data provide gridded (100-m) estimates of active layer thickness (cm; ALT), seasonal subsidence (cm) and subsidence trend (mm/yr), as well as calculated uncertainty in each of these parameters. This data set was developed in support of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) field campaign.The data are presented in one netCDF (*.nc) file. proprietary
-Insitu_Tower_Greenhouse_Gas_1798_1 ACT-America: L1 Raw, Uncalibrated In-Situ CO2, CO, and CH4 Mole Fractions from Towers ALL STAC Catalog 2015-01-01 2019-12-31 -98.59, 30.2, -76.42, 44.05 https://cmr.earthdata.nasa.gov/search/concepts/C2706327711-ORNL_CLOUD.umm_json This dataset provides Level 1 (L1) in situ atmospheric carbon dioxide (CO2), carbon monoxide (CO), and methane (CH4) concentrations as measured on a network of instrumented communications towers across the central and eastern USA operated by the Atmospheric Carbon and Transport-America (ACT-America) project. There were 11 towers instrumented with cavity ring-down spectrometers (CRDS; Picarro Inc.) with measurements beginning in January 2015 and continuing to October 2019. The measurement period varied by tower site. The Picarro analyzers continuously measured total CH4, isotopic ratio of CH4, CO2, CO, and other greenhouse gas concentrations. Not all species were measured at all sites. Complete tower location, elevation, instrument height, and date/time information are also provided. Determination of greenhouse gas fluxes and uncertainty bounds is essential for the evaluation of the effectiveness of mitigation strategies. These L1 data are raw instrument outputs from the Picarro instruments. A Level 2 (L2) product derived from this L1 data is available and generally would be the preferred data for most use cases. proprietary
Insitu_Tower_Greenhouse_Gas_1798_1 ACT-America: L1 Raw, Uncalibrated In-Situ CO2, CO, and CH4 Mole Fractions from Towers ORNL_CLOUD STAC Catalog 2015-01-01 2019-12-31 -98.59, 30.2, -76.42, 44.05 https://cmr.earthdata.nasa.gov/search/concepts/C2706327711-ORNL_CLOUD.umm_json This dataset provides Level 1 (L1) in situ atmospheric carbon dioxide (CO2), carbon monoxide (CO), and methane (CH4) concentrations as measured on a network of instrumented communications towers across the central and eastern USA operated by the Atmospheric Carbon and Transport-America (ACT-America) project. There were 11 towers instrumented with cavity ring-down spectrometers (CRDS; Picarro Inc.) with measurements beginning in January 2015 and continuing to October 2019. The measurement period varied by tower site. The Picarro analyzers continuously measured total CH4, isotopic ratio of CH4, CO2, CO, and other greenhouse gas concentrations. Not all species were measured at all sites. Complete tower location, elevation, instrument height, and date/time information are also provided. Determination of greenhouse gas fluxes and uncertainty bounds is essential for the evaluation of the effectiveness of mitigation strategies. These L1 data are raw instrument outputs from the Picarro instruments. A Level 2 (L2) product derived from this L1 data is available and generally would be the preferred data for most use cases. proprietary
+Insitu_Tower_Greenhouse_Gas_1798_1 ACT-America: L1 Raw, Uncalibrated In-Situ CO2, CO, and CH4 Mole Fractions from Towers ALL STAC Catalog 2015-01-01 2019-12-31 -98.59, 30.2, -76.42, 44.05 https://cmr.earthdata.nasa.gov/search/concepts/C2706327711-ORNL_CLOUD.umm_json This dataset provides Level 1 (L1) in situ atmospheric carbon dioxide (CO2), carbon monoxide (CO), and methane (CH4) concentrations as measured on a network of instrumented communications towers across the central and eastern USA operated by the Atmospheric Carbon and Transport-America (ACT-America) project. There were 11 towers instrumented with cavity ring-down spectrometers (CRDS; Picarro Inc.) with measurements beginning in January 2015 and continuing to October 2019. The measurement period varied by tower site. The Picarro analyzers continuously measured total CH4, isotopic ratio of CH4, CO2, CO, and other greenhouse gas concentrations. Not all species were measured at all sites. Complete tower location, elevation, instrument height, and date/time information are also provided. Determination of greenhouse gas fluxes and uncertainty bounds is essential for the evaluation of the effectiveness of mitigation strategies. These L1 data are raw instrument outputs from the Picarro instruments. A Level 2 (L2) product derived from this L1 data is available and generally would be the preferred data for most use cases. proprietary
Interior_Alaska_Subsistence_1725_1 ABoVE: Subsistence Resource Use Areas of Interior Alaskan Communities, 2011-2017 ORNL_CLOUD STAC Catalog 2011-01-01 2017-12-31 -176.65, 51.71, -131.52, 70.15 https://cmr.earthdata.nasa.gov/search/concepts/C2143402732-ORNL_CLOUD.umm_json This dataset provide maps to show the search and harvest areas used by community residents for all subsistence resources combined across Interior Alaska for the years 2011 through 2017. The maps show the extent of areas used by residents for those communities where data collection and research has occurred; it is not a comprehensive use map for the entire area. The maps are a composite of data collected by the Division of Subsistence, Alaska Department of Fish and Game using standardized methods where respondents indicated the search areas for species harvested, the amounts harvested, and the location and months of harvest. These data are important for research, analysis, and regulatory assessment. proprietary
Interior_Alaska_Subsistence_1725_1 ABoVE: Subsistence Resource Use Areas of Interior Alaskan Communities, 2011-2017 ALL STAC Catalog 2011-01-01 2017-12-31 -176.65, 51.71, -131.52, 70.15 https://cmr.earthdata.nasa.gov/search/concepts/C2143402732-ORNL_CLOUD.umm_json This dataset provide maps to show the search and harvest areas used by community residents for all subsistence resources combined across Interior Alaska for the years 2011 through 2017. The maps show the extent of areas used by residents for those communities where data collection and research has occurred; it is not a comprehensive use map for the entire area. The maps are a composite of data collected by the Division of Subsistence, Alaska Department of Fish and Game using standardized methods where respondents indicated the search areas for species harvested, the amounts harvested, and the location and months of harvest. These data are important for research, analysis, and regulatory assessment. proprietary
Interpolated_Met_Products_1876_1 ATom: GEOS-5 Derived Meteorological Conditions and Tagged Tracers Along Flight Tracks ORNL_CLOUD STAC Catalog 2016-07-29 2018-05-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2677009033-ORNL_CLOUD.umm_json "This dataset provides modeled meteorological conditions and tagged-CO tracer concentrations along ATom flight paths derived from the Goddard Earth Observing System Version 5 (GEOS-5) data assimilation products from the Global Modeling and Assimilation Office (GMAO) at NASA's Goddard Space Flight Center. The GMAO ""GEOS fp"" forward processing system ingests satellite, ground-based, and airborne data, using a sophisticated model along with the data's statistical properties to obtain global three-dimensional data gridded fields at regular time intervals. These data are from the GMAO model output that were fitted to the ATom flight tracks by interpolating the GMAO model output to the horizontal ATom flight tracks for each of the 4 ATom Deployments. The dataset also provides tagged-CO tracer concentrations, which represent the contribution of specific regional sources to the total simulated CO. The data products produced are consistent with both the original measurements and the physical laws governing the atmosphere. To provide some meteorological context for the ATom flights, the GEOS5 gridded data are interpolated in space and time to the flight tracks." proprietary
@@ -8089,8 +8091,8 @@ JASON_CS_S6A_L3_ALT_LR_OST_NTC_F08_F08 Sentinel-6A MF Jason-CS L3 P4 Altimeter H
JAXAL2InstChecked_4.0 EarthCARE JAXA L2 Products for Cal/Val Users ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394877-ESA.umm_json This EarthCARE collection is restricted, and contains the following data products: · Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. · Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes. proprietary
JAXAL2Products_5.0 EarthCARE JAXA L2 Products for the Commissioning Team ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393702-ESA.umm_json This EarthCARE collection contains the following data products: Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes. proprietary
JAXAL2Validated_3.0 EarthCARE JAXA L2 Products ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393729-ESA.umm_json This EarthCARE collection contains the following data products: Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes. proprietary
-JCADM_USA_PENGUINS Adelie Penguin ecology ALL STAC Catalog 1995-12-25 2001-01-20 166.17, -77.58, 169.25, -76.92 https://cmr.earthdata.nasa.gov/search/concepts/C1214609023-SCIOPS.umm_json Ecology of Adelie Penguins breeding at colonies in SW Ross Sea. proprietary
JCADM_USA_PENGUINS Adelie Penguin ecology SCIOPS STAC Catalog 1995-12-25 2001-01-20 166.17, -77.58, 169.25, -76.92 https://cmr.earthdata.nasa.gov/search/concepts/C1214609023-SCIOPS.umm_json Ecology of Adelie Penguins breeding at colonies in SW Ross Sea. proprietary
+JCADM_USA_PENGUINS Adelie Penguin ecology ALL STAC Catalog 1995-12-25 2001-01-20 166.17, -77.58, 169.25, -76.92 https://cmr.earthdata.nasa.gov/search/concepts/C1214609023-SCIOPS.umm_json Ecology of Adelie Penguins breeding at colonies in SW Ross Sea. proprietary
JERS-1.OPS.SYC_7.0 JERS-1 OPS (Optical Sensor) Very Near Infrared Radiometer (VNIR) System Corrected Products level 1 ESA STAC Catalog 1992-08-13 1998-10-08 95, -90, -130, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336918-ESA.umm_json The JERS-1 Optical System (OPS) is composed of a Very Near Infrared Radiometer (VNIR) and a Short Wave Infrared Radiometer (SWIR). The instrument has 8 observable spectral bands from visible to short wave infrared. Data acquired by ESA ground stations The JERS-1 OPS products are available in GeoTIFF format. These products are available only for the VNIR sensor. All four bands are corrected. The correction consists in a vertical and horizontal destriping, the radiometry values are expanded from the range [0,63] to the range [0,255]. No geometrical correction is applied on level 1. The pixel size of approximately 18 x 24.2 metres for raw data is newly dimensioned to 18 x 18 metres for System Corrected data using a cubic convolution algorithm. Disclaimer: Cloud coverage for JERS OPS products has not been computed using an algorithm. The cloud cover assignment was performed manually by operators at the acquisition stations. Due to missing attitude information, the Nadir looking band (band 3) and the corresponding forward looking band (band 4) are not well coregistered, resulting in some accuracy limitations. The quality control was not performed systematically for each frame. A subset of the entire JERS Optical dataset was selected and manually checked. As a result of this, users may occasionally encounter issues with some of the individual products. proprietary
JERS-1.SAR.PRI_7.0 JERS-1 SAR Level 1 Precision Image ESA STAC Catalog 1992-07-13 1998-10-08 -95, -90, 130, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336919-ESA.umm_json The JSA_PRI_1P product is comparable to the ESA PRI/IMP images generated for Envisat ASAR and ERS SAR instruments. It is a ground range projected detected image in zero-Doppler SAR coordinates, with a 12.5 metre pixel spacing. It has four overlapping looks in Doppler covering a total bandwidth of 1000Hz, with each look covering a 300Hz bandwidth. Sidelobe reduction is applied to achieve a nominal PSLR of less than -21dB. The image is not geocoded, and terrain distortion (foreshortening and layover) has not been removed. Data acquired by ESA ground stations. proprietary
JERS-1.SAR.SLC_7.0 JERS-1 SAR Level 1 Single Look Complex Image ESA STAC Catalog 1992-07-13 1998-10-08 -95, -90, 130, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336920-ESA.umm_json The JSA_SLC_1P product is comparable to the ESA SLC/IMS images generated for Envisat ASAR and ERS SAR instruments. It is a slant-range projected complex image in zero-Doppler SAR coordinates. The data is sampled in natural units of time in range and along track, with the range pixel spacing corresponding to the reciprocal of the platform ADC rate and the along track spacing to the reciprocal of the PRF. Data is processed to an unweighted Doppler bandwidth of 1000Hz, without sidelobe reduction. The product is suitable for interferometric, calibration and quality analysis applications. Data acquired by ESA ground stations proprietary
@@ -8109,8 +8111,8 @@ JGOFS_EQPAC_CYANOBACT_NANOPLANK Abundance, Biovolume and Biomass of Cyanobacteri
JGOFS_EQPAC_CYANOBACT_NANOPLANK Abundance, Biovolume and Biomass of Cyanobacteria and Eukaryotic Pico- and Nanoplankton Measured during the JGOFS Equatorial Pacific Process Study ALL STAC Catalog 1992-02-03 1992-10-21 -140, -17, -140, 12 https://cmr.earthdata.nasa.gov/search/concepts/C1214605622-SCIOPS.umm_json "The Equatorial Pacific Process Study (EQPAC) was conducted along 140 deg W longitude during 1992. Four cruises took place: February 3 - March 9, March 19 - April 15, August 5 - September 18, and September 24 - October 21. A fifth benthic cruise and sediment trap legs were added. During the first cruise (TT007), 15 stations were occupied along 140 deg W longitude from 12 deg N latitude to 12 deg S latitude. During the second cruise (TT008), data were collected at 8 stations along 140 deg W longitude from 9 deg S latitude to 9 deg N latitude. During the third cruise (TT011), data were collected at 15 stations along 140 deg W from 12 deg N latitude to 12 deg S latitude. During the fourth cruise (TT012), data were collected at 5 stations along 140 deg W longitude from 17 deg S latitude to the equator. Abundance, biovolume and biomass of cyanobacteria and eukaryotic plankton were measured at each station in vertical profiles using the CTD rosette water sampler. The cyanobacteria and plankton were enumerated and sized using color image analyzed fluorescence microscopy. The following parameters were measured: abundance of synechococcus-type cyanobacteria biovolume of synechococcus-type cyanobacteria biomass of synechococcus-type cyanobacteria abundance of phototrophic eucaryotic pico- and nanoplankton biovolume of phototrophic eucaryotic pico- and nanoplankton biomass of phototropic eucaryotic pico- and nanoplankton abundance of heterotrophic eucaryotic pico- and nanoplankton biovolume of heterotrophic eucaryotic pico- and nanoplankton biomass of heterotrophic eucaryotic pico- and nanoplankton The abundances are in units of cells/liter; the biovolumes are in units of cubic micrometers; and the biomasses are in units of micrograms of carbon per liter. The data is public domain and can be retrieved on-line at ""http://usjgofs.whoi.edu/jg/dir/jgofs/"" [The information in this summary was derived from the JGOFS World Wide Web pages.]" proprietary
JGOFS_EQPAC_DINOFLAG Abundance, Biovolume and Biomass of Heterotrophic Dinoflagellates Measured during the JGOFS Equatorial Pacific Process Study ALL STAC Catalog 1992-02-03 1992-10-21 -140, -17, -140, 12 https://cmr.earthdata.nasa.gov/search/concepts/C1214605584-SCIOPS.umm_json "The Equatorial Pacific Process Study (EQPAC) was conducted along 140 deg W longitude during 1992. Four cruises took place: February 3 - March 9, March 19 - April 15, August 5 - September 18, and September 24 - October 21. A fifth benthic cruise and sediment trap legs were added. During the first cruise (TT007), 15 stations were occupied along 140 deg W longitude from 12 deg N latitude to 12 deg S latitude. During the second cruise (TT008), data were collected at 8 stations along 140 deg W longitude from 9 deg S latitude to 9 deg N latitude. During the third cruise (TT011), data were collected at 15 stations along 140 deg W from 12 deg N latitude to 12 deg S latitude. During the fourth cruise (TT012), data were collected at 5 stations along 140 deg W longitude from 17 deg S latitude to the equator. Samples were collected at each station in a vertical profile using the CTD rosette bottle sampler for the measurement of heterotrophic dinoflagellates. Microzooplankton were enumerated by inverted microscopy of settled samples. Abundance (cells/ml), biovolume (cubic micrometers), and biomass (ugC/l) were measured. The data is public domain and can be retrieved on-line at ""http://usjgofs.whoi.edu/jg/dir/jgofs/"" [The information in this summary was derived from the JGOFS World Wide Web pages.]" proprietary
JGOFS_EQPAC_DINOFLAG Abundance, Biovolume and Biomass of Heterotrophic Dinoflagellates Measured during the JGOFS Equatorial Pacific Process Study SCIOPS STAC Catalog 1992-02-03 1992-10-21 -140, -17, -140, 12 https://cmr.earthdata.nasa.gov/search/concepts/C1214605584-SCIOPS.umm_json "The Equatorial Pacific Process Study (EQPAC) was conducted along 140 deg W longitude during 1992. Four cruises took place: February 3 - March 9, March 19 - April 15, August 5 - September 18, and September 24 - October 21. A fifth benthic cruise and sediment trap legs were added. During the first cruise (TT007), 15 stations were occupied along 140 deg W longitude from 12 deg N latitude to 12 deg S latitude. During the second cruise (TT008), data were collected at 8 stations along 140 deg W longitude from 9 deg S latitude to 9 deg N latitude. During the third cruise (TT011), data were collected at 15 stations along 140 deg W from 12 deg N latitude to 12 deg S latitude. During the fourth cruise (TT012), data were collected at 5 stations along 140 deg W longitude from 17 deg S latitude to the equator. Samples were collected at each station in a vertical profile using the CTD rosette bottle sampler for the measurement of heterotrophic dinoflagellates. Microzooplankton were enumerated by inverted microscopy of settled samples. Abundance (cells/ml), biovolume (cubic micrometers), and biomass (ugC/l) were measured. The data is public domain and can be retrieved on-line at ""http://usjgofs.whoi.edu/jg/dir/jgofs/"" [The information in this summary was derived from the JGOFS World Wide Web pages.]" proprietary
-JGOFS_EQPAC_MARINE_SNOW Abundance of Particulate Aggregrates (Marine Snow) Measured during the JGOFS Equatorial Pacific Process Study ALL STAC Catalog 1992-03-19 1992-04-15 -140, -17, -140, 12 https://cmr.earthdata.nasa.gov/search/concepts/C1214605602-SCIOPS.umm_json "The Equatorial Pacific Process Study (EQPAC) was conducted along 140 deg W longitude during 1992. Four cruises took place: February 3 - March 9, March 19 - April 15, August 5 - September 18, and September 24 - October 21. A fifth benthic cruise and sediment trap legs were added. During the first cruise (TT007), 15 stations were occupied along 140 deg W longitude from 12 deg N latitude to 12 deg S latitude. During the second cruise (TT008), data were collected at 8 stations along 140 deg W longitude from 9 deg S latitude to 9 deg N latitude. During the third cruise (TT011), data were collected at 15 stations along 140 deg W from 12 deg N latitude to 12 deg S latitude. During the fourth cruise (TT012), data were collected at 5 stations along 140 deg W longitude from 17 deg S latitude to the equator. On the second cruise, a camera and strobelights were used to illuminate aggregate particles. The system was lowered slowly 10-20 m/min through the water column on a trawl wire, exposing frames at a time interval of 7-20 sec calculated to yield 700-800 frames between the surface and the sea floor. Depth was monitored and recorded using a pinger and the ship's precision depth recorder. The parameter measured was the number of aggregates greater than 0.5 mm. The data is public domain and can be retrieved on-line at ""http://usjgofs.whoi.edu/jg/dir/jgofs/"" [The information in this summary was taken from the JGOFS World Wide Web pages.]" proprietary
JGOFS_EQPAC_MARINE_SNOW Abundance of Particulate Aggregrates (Marine Snow) Measured during the JGOFS Equatorial Pacific Process Study SCIOPS STAC Catalog 1992-03-19 1992-04-15 -140, -17, -140, 12 https://cmr.earthdata.nasa.gov/search/concepts/C1214605602-SCIOPS.umm_json "The Equatorial Pacific Process Study (EQPAC) was conducted along 140 deg W longitude during 1992. Four cruises took place: February 3 - March 9, March 19 - April 15, August 5 - September 18, and September 24 - October 21. A fifth benthic cruise and sediment trap legs were added. During the first cruise (TT007), 15 stations were occupied along 140 deg W longitude from 12 deg N latitude to 12 deg S latitude. During the second cruise (TT008), data were collected at 8 stations along 140 deg W longitude from 9 deg S latitude to 9 deg N latitude. During the third cruise (TT011), data were collected at 15 stations along 140 deg W from 12 deg N latitude to 12 deg S latitude. During the fourth cruise (TT012), data were collected at 5 stations along 140 deg W longitude from 17 deg S latitude to the equator. On the second cruise, a camera and strobelights were used to illuminate aggregate particles. The system was lowered slowly 10-20 m/min through the water column on a trawl wire, exposing frames at a time interval of 7-20 sec calculated to yield 700-800 frames between the surface and the sea floor. Depth was monitored and recorded using a pinger and the ship's precision depth recorder. The parameter measured was the number of aggregates greater than 0.5 mm. The data is public domain and can be retrieved on-line at ""http://usjgofs.whoi.edu/jg/dir/jgofs/"" [The information in this summary was taken from the JGOFS World Wide Web pages.]" proprietary
+JGOFS_EQPAC_MARINE_SNOW Abundance of Particulate Aggregrates (Marine Snow) Measured during the JGOFS Equatorial Pacific Process Study ALL STAC Catalog 1992-03-19 1992-04-15 -140, -17, -140, 12 https://cmr.earthdata.nasa.gov/search/concepts/C1214605602-SCIOPS.umm_json "The Equatorial Pacific Process Study (EQPAC) was conducted along 140 deg W longitude during 1992. Four cruises took place: February 3 - March 9, March 19 - April 15, August 5 - September 18, and September 24 - October 21. A fifth benthic cruise and sediment trap legs were added. During the first cruise (TT007), 15 stations were occupied along 140 deg W longitude from 12 deg N latitude to 12 deg S latitude. During the second cruise (TT008), data were collected at 8 stations along 140 deg W longitude from 9 deg S latitude to 9 deg N latitude. During the third cruise (TT011), data were collected at 15 stations along 140 deg W from 12 deg N latitude to 12 deg S latitude. During the fourth cruise (TT012), data were collected at 5 stations along 140 deg W longitude from 17 deg S latitude to the equator. On the second cruise, a camera and strobelights were used to illuminate aggregate particles. The system was lowered slowly 10-20 m/min through the water column on a trawl wire, exposing frames at a time interval of 7-20 sec calculated to yield 700-800 frames between the surface and the sea floor. Depth was monitored and recorded using a pinger and the ship's precision depth recorder. The parameter measured was the number of aggregates greater than 0.5 mm. The data is public domain and can be retrieved on-line at ""http://usjgofs.whoi.edu/jg/dir/jgofs/"" [The information in this summary was taken from the JGOFS World Wide Web pages.]" proprietary
JGOFS_WOCE_0 Joint Global Ocean Flux Study (JGOFS) - World Ocean Circulation Experiment OB_DAAC STAC Catalog 1991-09-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360388-OB_DAAC.umm_json Joint Global Ocean Flux Study (JGOFS) World Ocean Circulation Experiment measurements from 1991. proprietary
JHUAPL_SRI_Kauai_0 Johns Hopkins University Applied Physics Laboratory (JHUAPL) measurements near the island of Kauai in 1993 OB_DAAC STAC Catalog 1993-03-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360389-OB_DAAC.umm_json Measurements made by the Johns Hopkins University Applied Physics Laboratory (JHUAPL) near the island of Kauai in 1993. proprietary
JPL_RECON_GMSL_1.0 Reconstructed Global Mean Sea Level 1900-2018 POCLOUD STAC Catalog 1900-01-01 2018-12-31 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2491724765-POCLOUD.umm_json This dataset contains reconstructed global-mean sea level evolution and the estimated contributing processes over 1900-2018. Reconstructed sea level is based on annual-mean tide-gauge observations and uses the virtual-station method to aggregate the individual observations into a global estimate. The contributing processes consist of thermosteric changes, glacier mass changes, mass changes of the Greenland and Antarctic Ice Sheet, and terrestrial water storage changes. The glacier, ice sheet, and terrestrial water storage are estimated by combining GRACE observations (2003-2018) with long-term estimates from in-situ observations and models. Steric estimates are based on in-situ temperature profiles. The upper- and lower bound represent the 5 and 95 percent confidence level. The numbers are equal to the ones presented in Frederikse et al. The causes of sea-level rise since 1900, Nature, 2020.This dataset was produced by the Heat and Ocean Mass from Gravity ESDR (HOMAGE) project, with funding from MeASUREs-2017. HOMAGE is combining satellite observations to create a set of ESDRs that provide a homogeneous basis for accurate and current quantification of the planetary sea level budget, ocean heat content, and large-scale ocean transport variations. proprietary
@@ -8119,16 +8121,16 @@ JPL_SRTM_V2_2 Shuttle Radar Topography Mission (SRTM) Version 2 USGS_LTA STAC Ca
JWasley-LabBook-Casey-1999-2000_1 Casey 1999-2000 Laboratory Notebook for Jane Wasley AU_AADC STAC Catalog 1999-11-27 2000-09-10 110, -67, 111, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1278277195-AU_AADC.umm_json Scanned laboratory notebook. - Notebook owner: Jane Wasley - Project: Jane Wasely PhD (ASAC 1087: The influence of water and nutrient availability on bryophyte communities in continental Antarctica) - Notebook type: Laboratory (A4 Hardcover) Location/s: - Casey 1999/2000 season - Wollongong 2000 - Vienna 2000 Date range: 27/11/1999 to 10/09/2000 The notebook is scanned as four files: - JWasley-LabBook-Casey 1999-2000_P1-39.pdf - JWasley-LabBook-Casey 1999-2000_P40-89.pdf - JWasley-LabBook-Casey 1999-2000_P90-143.pdf - JWasley-LabBook-Casey 1999-2000_P144-275.pdf Plus three files that were looose pages with the notebook: - JWasley-LabBook-Casey 1999-2000_loose pages-sugar mass.pdf - JWasley-LabBook-Casey 1999-2000_loose pages-Sabine emails.pdf - JWasley-LabBook-Casey 1999-2000_loose pages-phosphorous methods.pdf Some pages were blank and not scanned: - 66-69 - 122-127 - 167 - 214-259 - 262-263 - 276-277 Some pages had notes that were not data, and were not scanned: - 168-173 notes about ASAC proposal - 260-261 location of samples in freezers [at Casey?], dated 3/6/2000 - 264-269 RTA inventory for equipment returning from Casey on V6 1999/2000, dated 15/03/2000 - 278-279 RTA inventory for equipment returning from Casey on V5 1999/2000, dated 02/02/2000 - 280-284 misc notes proprietary
K001D_2010_2012_NZ_1 Aeolian sediment in snow and on sea ice in Western in McMurdo Sound, and the Nansen Ice Shlelf in Terra Nova Bay, Antarctica SCIOPS STAC Catalog 2010-10-26 2011-12-25 -180, -77.8901, 180, -74.45974 https://cmr.earthdata.nasa.gov/search/concepts/C1214598415-SCIOPS.umm_json To quantify the distribution, composition and overall flux of aeolian (windblown) sediment that accumulates on Ice shelves and annual sea ice in the SW Ross Sea region and is subsequently released into the water column during melting. The sediment is an important contributor to sea floor sedimentation and is thought to be an important source of the micro-nutrient iron (Fe), triggering vast phytoplankton blooms each spring in the Ross Sea Region. These blooms are major productivity events that contribute large volumes of biogenic sediment to the seafloor and ultimately to the stratigraphic record (e.g. ANDRILL cores). Although the contribution of aeolian sediment has long been considered important, the actual flux of such material, its Fe content and availability to phytoplankton is poorly known. Understanding these modern processes is a key part of interpreting the past record of environmental change in the region. Field work carried out in the 2010/11 season retrieved a network of samples from the surface of the sea ice in Western McMurdo Sound and covers almost all previous geological drill sites (CRP1,2,3; CIROS 1,2; ANDRILL- 2a). 500ml bottles of snow were collected with trace metal clean technique and bags of snow (and dust) from a grid of sites (2.5 and 5km spacing) on the Western side of McMurdo Sound. This unprecedented dataset will for the first time allow us to quantify the flux, size range and provenance of aeolian sediment entering the McMurdo Sound and evaluate its importance as both a direct sediment contributor and also as a source of Fe influencing the regional biogeochemical cycle. Fieldwork carried out in the 2011/12 season strengthened this dataset by resampling keys sites from the 2010/11 survey in Southern McMurdo Sound to investigate inter-annual variability. In addition, a firn core was collected from Windless Bight at the same location as a core recovered in 2006 (Dunbar et al. 2009). Preliminary analysis on this core has shown clear annual layering and promising potential for extracting a record of dust to overlapping with previous cores (Atkins et al. 2011.) The sampling for the season involved collecting bags of snow from sea ice and ice shelf surfaces, short firn cores (up to 5m), aeolian sediment trap samples, geological samples and climate station data (wind speed and dirtection) in Southern McMurdo Sound and Nansen Ice shelf, Terra Nova Bay, Antarctica to quantify aeolian sediment distribution. The main focus of the 2011/12 season was in the Terra Nova Bay area. This region has a well-studied polnyna and annual algal bloom. In addition it is renowned for its katabatic airflow. A major limitation for understanding the biogeochemical cycles in the area is the lack of quantitative data on aeolian dust flux. Custom-built sediment traps and a climate station were deployed along the edge of the Nansen Ice Shelf during November to January. In addition, surface snow samples, short firn cores and exposed rocks were sampled in the region to help quantify the dust flux into the Terra Nova Bay polnyna. Preliminary analysis shows that the sediment traps were an effective way of sampling aeolian sediment and dust from snow samples has allowed us to begin mapping the sediment distribution and transport pathways at Terra Nova Bay. proprietary
K001D_2010_2012_NZ_1 Aeolian sediment in snow and on sea ice in Western in McMurdo Sound, and the Nansen Ice Shlelf in Terra Nova Bay, Antarctica ALL STAC Catalog 2010-10-26 2011-12-25 -180, -77.8901, 180, -74.45974 https://cmr.earthdata.nasa.gov/search/concepts/C1214598415-SCIOPS.umm_json To quantify the distribution, composition and overall flux of aeolian (windblown) sediment that accumulates on Ice shelves and annual sea ice in the SW Ross Sea region and is subsequently released into the water column during melting. The sediment is an important contributor to sea floor sedimentation and is thought to be an important source of the micro-nutrient iron (Fe), triggering vast phytoplankton blooms each spring in the Ross Sea Region. These blooms are major productivity events that contribute large volumes of biogenic sediment to the seafloor and ultimately to the stratigraphic record (e.g. ANDRILL cores). Although the contribution of aeolian sediment has long been considered important, the actual flux of such material, its Fe content and availability to phytoplankton is poorly known. Understanding these modern processes is a key part of interpreting the past record of environmental change in the region. Field work carried out in the 2010/11 season retrieved a network of samples from the surface of the sea ice in Western McMurdo Sound and covers almost all previous geological drill sites (CRP1,2,3; CIROS 1,2; ANDRILL- 2a). 500ml bottles of snow were collected with trace metal clean technique and bags of snow (and dust) from a grid of sites (2.5 and 5km spacing) on the Western side of McMurdo Sound. This unprecedented dataset will for the first time allow us to quantify the flux, size range and provenance of aeolian sediment entering the McMurdo Sound and evaluate its importance as both a direct sediment contributor and also as a source of Fe influencing the regional biogeochemical cycle. Fieldwork carried out in the 2011/12 season strengthened this dataset by resampling keys sites from the 2010/11 survey in Southern McMurdo Sound to investigate inter-annual variability. In addition, a firn core was collected from Windless Bight at the same location as a core recovered in 2006 (Dunbar et al. 2009). Preliminary analysis on this core has shown clear annual layering and promising potential for extracting a record of dust to overlapping with previous cores (Atkins et al. 2011.) The sampling for the season involved collecting bags of snow from sea ice and ice shelf surfaces, short firn cores (up to 5m), aeolian sediment trap samples, geological samples and climate station data (wind speed and dirtection) in Southern McMurdo Sound and Nansen Ice shelf, Terra Nova Bay, Antarctica to quantify aeolian sediment distribution. The main focus of the 2011/12 season was in the Terra Nova Bay area. This region has a well-studied polnyna and annual algal bloom. In addition it is renowned for its katabatic airflow. A major limitation for understanding the biogeochemical cycles in the area is the lack of quantitative data on aeolian dust flux. Custom-built sediment traps and a climate station were deployed along the edge of the Nansen Ice Shelf during November to January. In addition, surface snow samples, short firn cores and exposed rocks were sampled in the region to help quantify the dust flux into the Terra Nova Bay polnyna. Preliminary analysis shows that the sediment traps were an effective way of sampling aeolian sediment and dust from snow samples has allowed us to begin mapping the sediment distribution and transport pathways at Terra Nova Bay. proprietary
-K009_1971_1972_NZ_2 A survey of suitable sites in the Wright Valley for boreholes and a study of Lake Vanda sediments SCIOPS STAC Catalog 1971-11-13 1972-01-07 161.5, -77.5333, 161.5, -77.5333 https://cmr.earthdata.nasa.gov/search/concepts/C1214593255-SCIOPS.umm_json Two weeks were spent in the Wright Valley to survey suitable sites for boreholes to be put down as part of the International Drilling Programme. It was proposed to core the entire thickness of bottom sediments in Lake Vanda to elucidate, among other things, aspects of lake stratigraphy, petrology and hydrology, geothermal gradients in the area and paleoclimates. To locate the best site, a general bathymetric map of the lake and the nature of the bottom surface sediments was conducted. Results of the general reconnaissance are reported in the associated publication including lake depth and lake bottom sediment descriptions. Detailed textural, mineralogical, geochemical and biological investigation of the sediments was conducted. proprietary
K009_1971_1972_NZ_2 A survey of suitable sites in the Wright Valley for boreholes and a study of Lake Vanda sediments ALL STAC Catalog 1971-11-13 1972-01-07 161.5, -77.5333, 161.5, -77.5333 https://cmr.earthdata.nasa.gov/search/concepts/C1214593255-SCIOPS.umm_json Two weeks were spent in the Wright Valley to survey suitable sites for boreholes to be put down as part of the International Drilling Programme. It was proposed to core the entire thickness of bottom sediments in Lake Vanda to elucidate, among other things, aspects of lake stratigraphy, petrology and hydrology, geothermal gradients in the area and paleoclimates. To locate the best site, a general bathymetric map of the lake and the nature of the bottom surface sediments was conducted. Results of the general reconnaissance are reported in the associated publication including lake depth and lake bottom sediment descriptions. Detailed textural, mineralogical, geochemical and biological investigation of the sediments was conducted. proprietary
+K009_1971_1972_NZ_2 A survey of suitable sites in the Wright Valley for boreholes and a study of Lake Vanda sediments SCIOPS STAC Catalog 1971-11-13 1972-01-07 161.5, -77.5333, 161.5, -77.5333 https://cmr.earthdata.nasa.gov/search/concepts/C1214593255-SCIOPS.umm_json Two weeks were spent in the Wright Valley to survey suitable sites for boreholes to be put down as part of the International Drilling Programme. It was proposed to core the entire thickness of bottom sediments in Lake Vanda to elucidate, among other things, aspects of lake stratigraphy, petrology and hydrology, geothermal gradients in the area and paleoclimates. To locate the best site, a general bathymetric map of the lake and the nature of the bottom surface sediments was conducted. Results of the general reconnaissance are reported in the associated publication including lake depth and lake bottom sediment descriptions. Detailed textural, mineralogical, geochemical and biological investigation of the sediments was conducted. proprietary
K009_1972_1973_NZ_1 A geochemical reconnaisance of the salts in the soils of the Victoria Valley SCIOPS STAC Catalog 1972-12-02 1973-01-19 160, -77.75, 164, -77.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214593216-SCIOPS.umm_json A geochemical reconnaisance of the salts in the Victoria Valley was undertaken in the 1972/73 season. A field camp was set up at Lake Vida and the area from Lake Vida to Lake Vaska, Lake Clarke and up the mountains to the north of Lake Vida were surveyed. Samples of salts were collected where they were visible and a number of soils were collected in closed drainage basins and at the edges of small lakes. A total of 2m of sediments 10m above the lake level were described and calcium carbonate 'biscuit' concretions were collected for 14C and/or U-Th dating. proprietary
K009_1972_1973_NZ_1 A geochemical reconnaisance of the salts in the soils of the Victoria Valley ALL STAC Catalog 1972-12-02 1973-01-19 160, -77.75, 164, -77.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214593216-SCIOPS.umm_json A geochemical reconnaisance of the salts in the Victoria Valley was undertaken in the 1972/73 season. A field camp was set up at Lake Vida and the area from Lake Vida to Lake Vaska, Lake Clarke and up the mountains to the north of Lake Vida were surveyed. Samples of salts were collected where they were visible and a number of soils were collected in closed drainage basins and at the edges of small lakes. A total of 2m of sediments 10m above the lake level were described and calcium carbonate 'biscuit' concretions were collected for 14C and/or U-Th dating. proprietary
K009_1975_1976_NZ_2 A survey of the Miers and Marshall Valley and Walcott Bay area for dating the formation of the major landforms ALL STAC Catalog 1975-12-09 1977-01-06 161.6666, -77.5166, 161.6666, -77.5166 https://cmr.earthdata.nasa.gov/search/concepts/C1214593295-SCIOPS.umm_json "A few days were spent in the Miers Valley to collect samples of gypsum for geochemical analyses. Surprisingly carbonate ""biscuit"" similar to that found in the Taylor Valley were found. Thus, we noted the elevations of carbonate and gypsum, also in relation to ancient lake levels and moraines. Samples were subjected to geochemical analyses. Kenyte-like boulders in the terrace sequence had been depositied in a tuffaceious matrix. Apparently the boulders had been deposited on the subaqueous part of the delta at a time of higher lake level.The feldspar crystals in these boulders were dated with K-Ar as well as having the glass in the tuffaceous matrix fission-track dated. With dating, we should be able to tie in the age, form and evolution of the old lake levels, deltas and moraines of the Miers Valley with the Taylor Valley. Further samples were collected the following season for dating the formation of the major landforms, especially the moraines and lake levels in the Miers Valley. The Marshall Valley was visited and a massive gypsum vein was sampled and dated. The Walcott Bay was surveyed but no carbonate was found and the shoreline of Mt Discovery was surveyed for carbonates." proprietary
K009_1975_1976_NZ_2 A survey of the Miers and Marshall Valley and Walcott Bay area for dating the formation of the major landforms SCIOPS STAC Catalog 1975-12-09 1977-01-06 161.6666, -77.5166, 161.6666, -77.5166 https://cmr.earthdata.nasa.gov/search/concepts/C1214593295-SCIOPS.umm_json "A few days were spent in the Miers Valley to collect samples of gypsum for geochemical analyses. Surprisingly carbonate ""biscuit"" similar to that found in the Taylor Valley were found. Thus, we noted the elevations of carbonate and gypsum, also in relation to ancient lake levels and moraines. Samples were subjected to geochemical analyses. Kenyte-like boulders in the terrace sequence had been depositied in a tuffaceious matrix. Apparently the boulders had been deposited on the subaqueous part of the delta at a time of higher lake level.The feldspar crystals in these boulders were dated with K-Ar as well as having the glass in the tuffaceous matrix fission-track dated. With dating, we should be able to tie in the age, form and evolution of the old lake levels, deltas and moraines of the Miers Valley with the Taylor Valley. Further samples were collected the following season for dating the formation of the major landforms, especially the moraines and lake levels in the Miers Valley. The Marshall Valley was visited and a massive gypsum vein was sampled and dated. The Walcott Bay was surveyed but no carbonate was found and the shoreline of Mt Discovery was surveyed for carbonates." proprietary
K009_1979_1980_NZ_1 A study of the glacial history of the McMurdo Oasis by the dating of lacustre carbonates SCIOPS STAC Catalog 1979-12-10 1980-01-15 163.1833, -77.6166, 163.1833, -77.6166 https://cmr.earthdata.nasa.gov/search/concepts/C1214593313-SCIOPS.umm_json Three holes were drilled into frozen sediments around Lake Fryxell. The first was 4ft in depth in frozen silts approx 50m NW of the Fryxell Hut. The second hole was 30m east of the first hole and a depth of 16ft. A third hole was drilled approximately 1km east of the second hole to a depth of 46ft. The cores were analysed and the lacustre carbonates within were dated. This was the first time that diamond drilling was used to drill the cores. proprietary
K009_1979_1980_NZ_1 A study of the glacial history of the McMurdo Oasis by the dating of lacustre carbonates ALL STAC Catalog 1979-12-10 1980-01-15 163.1833, -77.6166, 163.1833, -77.6166 https://cmr.earthdata.nasa.gov/search/concepts/C1214593313-SCIOPS.umm_json Three holes were drilled into frozen sediments around Lake Fryxell. The first was 4ft in depth in frozen silts approx 50m NW of the Fryxell Hut. The second hole was 30m east of the first hole and a depth of 16ft. A third hole was drilled approximately 1km east of the second hole to a depth of 46ft. The cores were analysed and the lacustre carbonates within were dated. This was the first time that diamond drilling was used to drill the cores. proprietary
-K012_1978_1980_NZ_1 A series of experiments to characterize the neuromuscular transmission in Antarctic fishes (Pagothenia borchgrevinki) and the effects of temperature on these reactions ALL STAC Catalog 1978-11-08 1979-12-06 166.75, -77.85, 166.75, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214591521-SCIOPS.umm_json The low temperature adaptations involved in neuromuscular transmission in Antarctica fish was characterized. An exploratory dissection of Pagothenia borchgrevinki revealed that the inferior oblique ocular muscle was well suited for neuromuscular studies. Visual observations of contraction while stimulating the oculomotor was conducted and the interaction of stimulus frequency and temperature on muscle contraction was monitored. Electromyograms were used to record the muscle contraction at different temperatures and to assess the sensitivity of the neuromuscular junction to curare (tubocurarine - HCl). Photographic records of the EMG experiments were analysed. A sequence of neurophysiological experiments were conducted to further characterize the neuromuscular transmission in fishes including: a) Determination of optimum stimulation frequency and changes with temperature, b) Dose response measurements of acetylcholine and changes with temperature, c) Changes of the resting potential with temperature and d) recording the spontaneous miniature end-plate potentials (MEPP) and temperature induced changes in MEPP size, frequency and rate of decay. Brain and cranial nerves were dissected from five species of fish; P. borchgrevinki, Trematomus bernacchii, T. hansoni, Dissostichus mawsoni and Gymnodraco acuticeps, and preserved in methanol-acetic acid-formalin for anatomical, histological studies and lipid analysis. Glycerated muscle preparations of P. borchgrevinki eye muscles were made to analyse the myosin ATP-ase system responsible for the actual force of the contraction. proprietary
K012_1978_1980_NZ_1 A series of experiments to characterize the neuromuscular transmission in Antarctic fishes (Pagothenia borchgrevinki) and the effects of temperature on these reactions SCIOPS STAC Catalog 1978-11-08 1979-12-06 166.75, -77.85, 166.75, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214591521-SCIOPS.umm_json The low temperature adaptations involved in neuromuscular transmission in Antarctica fish was characterized. An exploratory dissection of Pagothenia borchgrevinki revealed that the inferior oblique ocular muscle was well suited for neuromuscular studies. Visual observations of contraction while stimulating the oculomotor was conducted and the interaction of stimulus frequency and temperature on muscle contraction was monitored. Electromyograms were used to record the muscle contraction at different temperatures and to assess the sensitivity of the neuromuscular junction to curare (tubocurarine - HCl). Photographic records of the EMG experiments were analysed. A sequence of neurophysiological experiments were conducted to further characterize the neuromuscular transmission in fishes including: a) Determination of optimum stimulation frequency and changes with temperature, b) Dose response measurements of acetylcholine and changes with temperature, c) Changes of the resting potential with temperature and d) recording the spontaneous miniature end-plate potentials (MEPP) and temperature induced changes in MEPP size, frequency and rate of decay. Brain and cranial nerves were dissected from five species of fish; P. borchgrevinki, Trematomus bernacchii, T. hansoni, Dissostichus mawsoni and Gymnodraco acuticeps, and preserved in methanol-acetic acid-formalin for anatomical, histological studies and lipid analysis. Glycerated muscle preparations of P. borchgrevinki eye muscles were made to analyse the myosin ATP-ase system responsible for the actual force of the contraction. proprietary
+K012_1978_1980_NZ_1 A series of experiments to characterize the neuromuscular transmission in Antarctic fishes (Pagothenia borchgrevinki) and the effects of temperature on these reactions ALL STAC Catalog 1978-11-08 1979-12-06 166.75, -77.85, 166.75, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214591521-SCIOPS.umm_json The low temperature adaptations involved in neuromuscular transmission in Antarctica fish was characterized. An exploratory dissection of Pagothenia borchgrevinki revealed that the inferior oblique ocular muscle was well suited for neuromuscular studies. Visual observations of contraction while stimulating the oculomotor was conducted and the interaction of stimulus frequency and temperature on muscle contraction was monitored. Electromyograms were used to record the muscle contraction at different temperatures and to assess the sensitivity of the neuromuscular junction to curare (tubocurarine - HCl). Photographic records of the EMG experiments were analysed. A sequence of neurophysiological experiments were conducted to further characterize the neuromuscular transmission in fishes including: a) Determination of optimum stimulation frequency and changes with temperature, b) Dose response measurements of acetylcholine and changes with temperature, c) Changes of the resting potential with temperature and d) recording the spontaneous miniature end-plate potentials (MEPP) and temperature induced changes in MEPP size, frequency and rate of decay. Brain and cranial nerves were dissected from five species of fish; P. borchgrevinki, Trematomus bernacchii, T. hansoni, Dissostichus mawsoni and Gymnodraco acuticeps, and preserved in methanol-acetic acid-formalin for anatomical, histological studies and lipid analysis. Glycerated muscle preparations of P. borchgrevinki eye muscles were made to analyse the myosin ATP-ase system responsible for the actual force of the contraction. proprietary
K014_1969_1970_NZ_1 A feasibility study of marine investigations at Cape Bird: Plankton sampling, water temperature, conductivity and chlorophyll content ALL STAC Catalog 1969-10-01 1970-02-15 166.6833, -77.1667, 166.6833, -77.1667 https://cmr.earthdata.nasa.gov/search/concepts/C1214592009-SCIOPS.umm_json On arrival at Cape Bird it was found that the pack ice had broken early and sampling had to be limited to inshore waters from ice piers with water depths never greater than about 20 feet. Plankton samples were obtained every third day through the summer to provide records of plankton abundance and composition and chlorophyll content of the water. Records were kept of prevailing sea and weather conditions and sea temperatures and conductivity. proprietary
K014_1969_1970_NZ_1 A feasibility study of marine investigations at Cape Bird: Plankton sampling, water temperature, conductivity and chlorophyll content SCIOPS STAC Catalog 1969-10-01 1970-02-15 166.6833, -77.1667, 166.6833, -77.1667 https://cmr.earthdata.nasa.gov/search/concepts/C1214592009-SCIOPS.umm_json On arrival at Cape Bird it was found that the pack ice had broken early and sampling had to be limited to inshore waters from ice piers with water depths never greater than about 20 feet. Plankton samples were obtained every third day through the summer to provide records of plankton abundance and composition and chlorophyll content of the water. Records were kept of prevailing sea and weather conditions and sea temperatures and conductivity. proprietary
K014_1970_1971_NZ_5 A general benthic survey of the Cape Bird region: distribution of sediment types, boundaries of faunal zones, bathymetry and current patterns ALL STAC Catalog 1970-12-08 1971-02-01 166.6833, -77.1667, 166.6833, -77.1667 https://cmr.earthdata.nasa.gov/search/concepts/C1214592010-SCIOPS.umm_json A survey of the region from the ice face to McDonald Beach and to a depth of about 300 meters with regard to distribution of sediment types, boundaries of faunal zones and the general bathymetry of the area was completed at Cape Bird. The current pattern around the cape coast was observed and measured and its effect on the local benthic habitat was described. proprietary
@@ -8143,8 +8145,8 @@ K014_1982_1983_NZ_3 A distribution of vegetation survey and an environmental ass
K014_1982_1983_NZ_3 A distribution of vegetation survey and an environmental assessment carried out to identify any damage caused by previous occupation of the area by man at Cape Hallett's Specially Protected Area No. 7 SCIOPS STAC Catalog 1983-01-01 1983-02-28 170.2667, -72.3167, 170.2667, -72.3167 https://cmr.earthdata.nasa.gov/search/concepts/C1214592043-SCIOPS.umm_json Specially Protected area No.7 is located at the base of Seabee Spit and comprises two major habitat types: a large flat area interrupted by small hummocks and depressions, and adjoining steep scree slopes which form part of the western side of Cape Hallett. In order to provide some up to date information on the current status of the SPA, the distribution of vegetation was surveyed and an environmental assessment carried out to identify any damage caused by previous occupation of the area by man. The adequacy of the present boundaries (1983) was also examined. The algae, mosses and lichens of Cape Hallett were surveyed in two ways: a) A series of photographs was taken to provide overlapping coverage of the SPA and surrounding areas at a small scale. This will allow a sketch map to be made showing broad vegetation distribution patterns, extent of penguin colonies, nature of the topography, occurrence of permanent snow patches and areas of melt water accumulation. b) Three vertical transects were laid across the SPA running west to east over the flat and up the scree slopes. At 5m intervals along each transect the area within a 25 x 25 cm quadrat was examined to provide data on species distribution and cover, the nature of the substrate, slope, aspect, and relative abundance and moisture. The presence/absence of collembola and mites was also recorded as was evidence of the presence of skuas, seals and penguins. A total of 600 quadrats were sampled. proprietary
K014_1999_2000_NZ_1 A transplant experiment measuring the effects petroleum derivatives on Trematomus bernacchii from a relatively pristine site and exposing the fish to the waters at Winterquarters Bay and Cape Armitage SCIOPS STAC Catalog 1999-11-24 2000-01-02 166.2, -77.85, 166.6683, -77.5667 https://cmr.earthdata.nasa.gov/search/concepts/C1214591328-SCIOPS.umm_json The impact of petroleum derivatives derived from fuel drums dumped into McMurdo Sound during the period before environmental management practices were regarded was examined on fish in Winterquarters Bay (McMurdo Sound). Experimental fish were captured from a relatively pristine site (Backdoor Bay, Cape Royds) and transported to Winterquarter Bay (heavily polluted) and Cape Armitage (minimally impacted) where they were held in cages. The fish were sampled from both sites after periods of 2 and 4 weeks and examined for physiological condition. Naturally resident fish were also collected from Backdoor Bay and Winterquarters Bay to provide a second, independent set of data. The physical condition of each fish was noted on gross examination and morphometric data was gathered to provide further information on health status. Internal organs (gills and liver) were then sampled for histopathological and biochemical analysis (measurement of cytochrome P450 content and activity). Bile was also removed from the gall bladder for subsequent analysis of petroleum derivative content by fluorimetry. These methods test for correlations between the amount and activity of cytochrome P450 in exposed fish and the quantity of contaminating petroleum contaminants. proprietary
K014_1999_2000_NZ_1 A transplant experiment measuring the effects petroleum derivatives on Trematomus bernacchii from a relatively pristine site and exposing the fish to the waters at Winterquarters Bay and Cape Armitage ALL STAC Catalog 1999-11-24 2000-01-02 166.2, -77.85, 166.6683, -77.5667 https://cmr.earthdata.nasa.gov/search/concepts/C1214591328-SCIOPS.umm_json The impact of petroleum derivatives derived from fuel drums dumped into McMurdo Sound during the period before environmental management practices were regarded was examined on fish in Winterquarters Bay (McMurdo Sound). Experimental fish were captured from a relatively pristine site (Backdoor Bay, Cape Royds) and transported to Winterquarter Bay (heavily polluted) and Cape Armitage (minimally impacted) where they were held in cages. The fish were sampled from both sites after periods of 2 and 4 weeks and examined for physiological condition. Naturally resident fish were also collected from Backdoor Bay and Winterquarters Bay to provide a second, independent set of data. The physical condition of each fish was noted on gross examination and morphometric data was gathered to provide further information on health status. Internal organs (gills and liver) were then sampled for histopathological and biochemical analysis (measurement of cytochrome P450 content and activity). Bile was also removed from the gall bladder for subsequent analysis of petroleum derivative content by fluorimetry. These methods test for correlations between the amount and activity of cytochrome P450 in exposed fish and the quantity of contaminating petroleum contaminants. proprietary
-K017_1967_1968_NZ_2 A study on the siting, establishment and maintenance of territories in the South Polar Skua (Catharacta maccormicki) SCIOPS STAC Catalog 1967-11-10 1968-02-15 166.6833, -77.1667, 166.6833, -77.1667 https://cmr.earthdata.nasa.gov/search/concepts/C1214592026-SCIOPS.umm_json A study of skua territories was conducted by examining siting, establishment and maintenance of territories in two very different conditions including in an area close to the penguins where skuas nest in a tight concentration and in an alpine exposed area of low skua concentration. Direct observations of conflicts and encounters through the summer and the changing position of boundaries was followed in relation to breeding state of the the skua pairs. An independent assessment of a social hierarchy was made to allow investigation of the relation between this hierarchy and territory size, position and breeding success to be concluded. The relation between territory factor and breeding success, especially the survival of the chicks following the displacement of one of the two chicks from the nest that invariable occurs soon after both hatch was also recorded. proprietary
K017_1967_1968_NZ_2 A study on the siting, establishment and maintenance of territories in the South Polar Skua (Catharacta maccormicki) ALL STAC Catalog 1967-11-10 1968-02-15 166.6833, -77.1667, 166.6833, -77.1667 https://cmr.earthdata.nasa.gov/search/concepts/C1214592026-SCIOPS.umm_json A study of skua territories was conducted by examining siting, establishment and maintenance of territories in two very different conditions including in an area close to the penguins where skuas nest in a tight concentration and in an alpine exposed area of low skua concentration. Direct observations of conflicts and encounters through the summer and the changing position of boundaries was followed in relation to breeding state of the the skua pairs. An independent assessment of a social hierarchy was made to allow investigation of the relation between this hierarchy and territory size, position and breeding success to be concluded. The relation between territory factor and breeding success, especially the survival of the chicks following the displacement of one of the two chicks from the nest that invariable occurs soon after both hatch was also recorded. proprietary
+K017_1967_1968_NZ_2 A study on the siting, establishment and maintenance of territories in the South Polar Skua (Catharacta maccormicki) SCIOPS STAC Catalog 1967-11-10 1968-02-15 166.6833, -77.1667, 166.6833, -77.1667 https://cmr.earthdata.nasa.gov/search/concepts/C1214592026-SCIOPS.umm_json A study of skua territories was conducted by examining siting, establishment and maintenance of territories in two very different conditions including in an area close to the penguins where skuas nest in a tight concentration and in an alpine exposed area of low skua concentration. Direct observations of conflicts and encounters through the summer and the changing position of boundaries was followed in relation to breeding state of the the skua pairs. An independent assessment of a social hierarchy was made to allow investigation of the relation between this hierarchy and territory size, position and breeding success to be concluded. The relation between territory factor and breeding success, especially the survival of the chicks following the displacement of one of the two chicks from the nest that invariable occurs soon after both hatch was also recorded. proprietary
K022_1977_1978_NZ_1 A biological reconnaissance of the photoreceptors of invertebrates and fish from the Ross Sea, identifying the micro fauna and flora of Dry Valley lakes and other organism from the Ross Sea region SCIOPS STAC Catalog 1977-11-22 1978-01-13 160, -78.75, 168, -77 https://cmr.earthdata.nasa.gov/search/concepts/C1214590902-SCIOPS.umm_json A variety of research activities on the organisms in the Ross Dependency was undertaken to determine the biological research potential of the organisms. Most work focused on photoreceptors of different invertebrates and fishes. The studies included work on: a) Glyptonotus antarcticus: The dorsal and ventral eyes of this big isopod were prefixed, postfixed, dehydrated and embedded for transmission electron microscopy (TEM). Additional eyes were prepared for TEM of the inner and outer surfaces. Groups of 4 animals were adapted to 0°C, 5°C and 10°C and their eyes were also prepared for TEM. Another experiment involved painted one eye black and exposing the other to 200 lux for 1 week. Both eyes were analysed with TEM. b) Orchomenella plebs: Freshly caught amphipods were exposed to bright sunlight for 1, 2 and 3 hours. Their eyes, as well as those of fully dark adapted ones were prepared for TEM. This species can also recover when placed in 10°C for 7h and then returned to 0°C water. Eyes of animals adapted to 5°C and 10°C and those that had recovered afterwards in 0°C were prepared for TEM. c) The compound eyes of approx 100 facets belonging to a tiny (1-2mm) parasitic isopod from fish and invertebrate hosts were prepared for TEM. d) Retinae of 3 species of fishes (Trematomus bernacchii, Trematomus brochgrevinkii and Dissostichus mawsoni) were fixed for TEM. The eyes of the Trematomus species were prepared for gas-chromatographical analyses of the fatty acid composition. Observations were carried out on the antifreeze behaviour of D. mawsoni aqueous and vitreous humor. e) The microfauna and flora of Deep Lake and Skua Lake were studied in culture. Numerous drawings of the microorganisms were prepared. f) A number of organisms were collected for identification including benthic marine organism from under the 3-5m thick sea ice, marine mite species, skua egg shells, moss samples (from the top of Mt Erebus) and bacteria which were attempted to be cultured from snow samples. proprietary
K022_1977_1978_NZ_1 A biological reconnaissance of the photoreceptors of invertebrates and fish from the Ross Sea, identifying the micro fauna and flora of Dry Valley lakes and other organism from the Ross Sea region ALL STAC Catalog 1977-11-22 1978-01-13 160, -78.75, 168, -77 https://cmr.earthdata.nasa.gov/search/concepts/C1214590902-SCIOPS.umm_json A variety of research activities on the organisms in the Ross Dependency was undertaken to determine the biological research potential of the organisms. Most work focused on photoreceptors of different invertebrates and fishes. The studies included work on: a) Glyptonotus antarcticus: The dorsal and ventral eyes of this big isopod were prefixed, postfixed, dehydrated and embedded for transmission electron microscopy (TEM). Additional eyes were prepared for TEM of the inner and outer surfaces. Groups of 4 animals were adapted to 0°C, 5°C and 10°C and their eyes were also prepared for TEM. Another experiment involved painted one eye black and exposing the other to 200 lux for 1 week. Both eyes were analysed with TEM. b) Orchomenella plebs: Freshly caught amphipods were exposed to bright sunlight for 1, 2 and 3 hours. Their eyes, as well as those of fully dark adapted ones were prepared for TEM. This species can also recover when placed in 10°C for 7h and then returned to 0°C water. Eyes of animals adapted to 5°C and 10°C and those that had recovered afterwards in 0°C were prepared for TEM. c) The compound eyes of approx 100 facets belonging to a tiny (1-2mm) parasitic isopod from fish and invertebrate hosts were prepared for TEM. d) Retinae of 3 species of fishes (Trematomus bernacchii, Trematomus brochgrevinkii and Dissostichus mawsoni) were fixed for TEM. The eyes of the Trematomus species were prepared for gas-chromatographical analyses of the fatty acid composition. Observations were carried out on the antifreeze behaviour of D. mawsoni aqueous and vitreous humor. e) The microfauna and flora of Deep Lake and Skua Lake were studied in culture. Numerous drawings of the microorganisms were prepared. f) A number of organisms were collected for identification including benthic marine organism from under the 3-5m thick sea ice, marine mite species, skua egg shells, moss samples (from the top of Mt Erebus) and bacteria which were attempted to be cultured from snow samples. proprietary
K024_1996_1997_NZ_3 A vegetation assessment of Beaufort Island ALL STAC Catalog 1997-01-18 1997-01-20 167, -76.9833, 167, -76.9833 https://cmr.earthdata.nasa.gov/search/concepts/C1214593553-SCIOPS.umm_json The vegetation at Beaufort Island was assessed and a report written to ICAIR including a description of the area, species present, comparison to other Dry Valley vegetation, the merits of the vegetation and recommendations of other features worthy of protection. proprietary
@@ -8157,38 +8159,38 @@ K042_1976_1977_NZ_3 A quantitative survey of mosses in the McMurdo Sound region
K042_1976_1977_NZ_3 A quantitative survey of mosses in the McMurdo Sound region ALL STAC Catalog 1976-10-21 1977-01-12 160, -78.5, 167, -77 https://cmr.earthdata.nasa.gov/search/concepts/C1214594097-SCIOPS.umm_json A quantitative survey of the ecology of mosses in the McMurdo Sound region was conducted in the 1976/77 field season. Moss was found around streams below the Rhone, Hughes and Calkin Glaciers in the Taylor Valley, the moraines below the Hobbs Glacier and in the Salmon, Garwood and Towle Valleys, and in the Scott Base, McMurdo Station areas. Other areas searched where moss was not found included Kennar and Beacon Valleys, the area below La Croix Glacier and the side of the Taylor Valley around Lake Conney not near melt streams below alpine glaciers and the Towle Valley. Algae and lichen were recorded from most of the areas visited. Detailed quantitative surveys of moss were done below the Rhone, Calkin and Hughes Glacier and on the delta below the snout of the Hobbs Glacier. Air spore samples were collected daily, fresh algae was collected from Lake Fryxell and Lake Vanda for C14 dating standards and soils were sampled for tests for microorganisms, pH, carbon and nitrogen content. proprietary
K042_1979_1980_NZ_3 A gravity survey of the Taylor Valley and Dailey Islands SCIOPS STAC Catalog 1979-12-07 1980-01-15 161, -77.88, 165.1, -77.55 https://cmr.earthdata.nasa.gov/search/concepts/C1214594141-SCIOPS.umm_json A gravity survey of the lower Taylor Valley, from New Harbour to the Suess Glacier was completed in the 1977-1978 field season to tie in with the Dry Valley Drilling Project (DVDP) holes and to trace the bedrock profile as part of the DVDP. In the 1979-1980 season, a gravity survey of the Dry Valleys was designed to compliment sea ice gravity surveys made during the same season and to fill gaps in the existing data measured by Bull (1962, 1964), Smithson (1971), Stern (1978), Hicks (1978) and Hicks and Bennet (1981). A detailed gravity traverse was completed down the Taylor Valley from Northwest Mountain to the sea, with stations at 1 to 3 km intervals. Gravity readings were also made at approximately 10km spacings in the Lower Ferrar and on the Dailey Islands. proprietary
K042_1979_1980_NZ_3 A gravity survey of the Taylor Valley and Dailey Islands ALL STAC Catalog 1979-12-07 1980-01-15 161, -77.88, 165.1, -77.55 https://cmr.earthdata.nasa.gov/search/concepts/C1214594141-SCIOPS.umm_json A gravity survey of the lower Taylor Valley, from New Harbour to the Suess Glacier was completed in the 1977-1978 field season to tie in with the Dry Valley Drilling Project (DVDP) holes and to trace the bedrock profile as part of the DVDP. In the 1979-1980 season, a gravity survey of the Dry Valleys was designed to compliment sea ice gravity surveys made during the same season and to fill gaps in the existing data measured by Bull (1962, 1964), Smithson (1971), Stern (1978), Hicks (1978) and Hicks and Bennet (1981). A detailed gravity traverse was completed down the Taylor Valley from Northwest Mountain to the sea, with stations at 1 to 3 km intervals. Gravity readings were also made at approximately 10km spacings in the Lower Ferrar and on the Dailey Islands. proprietary
-K042_1980_1981_NZ_1 A seismic refraction survey on sea ice near Butter Point, New Harbour, McMurdo Sound SCIOPS STAC Catalog 1980-11-26 1980-12-03 164.12, -77.39, 164.12, -77.39 https://cmr.earthdata.nasa.gov/search/concepts/C1214592047-SCIOPS.umm_json A seismic refraction survey was conducted on sea ice near Butter Point to provide data on sediment thickness for possible further drilling and to investigate the cause of a reported gravity anomaly. 12 vertical geophones were spaced at 29.95m intervals, frozen in to holes chipped in the sea ice and covered by 100-200mm of snow. Two reverse lines were shot, using four shot points. proprietary
K042_1980_1981_NZ_1 A seismic refraction survey on sea ice near Butter Point, New Harbour, McMurdo Sound ALL STAC Catalog 1980-11-26 1980-12-03 164.12, -77.39, 164.12, -77.39 https://cmr.earthdata.nasa.gov/search/concepts/C1214592047-SCIOPS.umm_json A seismic refraction survey was conducted on sea ice near Butter Point to provide data on sediment thickness for possible further drilling and to investigate the cause of a reported gravity anomaly. 12 vertical geophones were spaced at 29.95m intervals, frozen in to holes chipped in the sea ice and covered by 100-200mm of snow. Two reverse lines were shot, using four shot points. proprietary
+K042_1980_1981_NZ_1 A seismic refraction survey on sea ice near Butter Point, New Harbour, McMurdo Sound SCIOPS STAC Catalog 1980-11-26 1980-12-03 164.12, -77.39, 164.12, -77.39 https://cmr.earthdata.nasa.gov/search/concepts/C1214592047-SCIOPS.umm_json A seismic refraction survey was conducted on sea ice near Butter Point to provide data on sediment thickness for possible further drilling and to investigate the cause of a reported gravity anomaly. 12 vertical geophones were spaced at 29.95m intervals, frozen in to holes chipped in the sea ice and covered by 100-200mm of snow. Two reverse lines were shot, using four shot points. proprietary
K042_1982_1983_NZ_2 A seismic refraction survey on sea ice at New Harbour and Dailey Islands SCIOPS STAC Catalog 1982-11-15 1982-12-02 163.83, -77.88, 165.1, -77.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214592049-SCIOPS.umm_json "A seismic refraction survey was conducted on sea ice at New Harbour and the Dailey Islands to provide data on sediment thickness for possible further drilling for Cenozoic investigations in the Western Ross Sea. At New Harbour, two seismic lines, each 8.66km long with shot points at each end and at the centre were laid out in the form of a cross. Water depth was measured at each shot site. At the Dailey Islands, sea bottom depth and dip along the seismic line were determined at each spread by stacking sledge hammer blows on the ice. Two 8.66km lines similar to those at New Harbour were laid out in the for of a ""T"". Four extra shot points were incldued on line A because a complex sea bottom was expected near the islands." proprietary
K042_1982_1983_NZ_2 A seismic refraction survey on sea ice at New Harbour and Dailey Islands ALL STAC Catalog 1982-11-15 1982-12-02 163.83, -77.88, 165.1, -77.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214592049-SCIOPS.umm_json "A seismic refraction survey was conducted on sea ice at New Harbour and the Dailey Islands to provide data on sediment thickness for possible further drilling for Cenozoic investigations in the Western Ross Sea. At New Harbour, two seismic lines, each 8.66km long with shot points at each end and at the centre were laid out in the form of a cross. Water depth was measured at each shot site. At the Dailey Islands, sea bottom depth and dip along the seismic line were determined at each spread by stacking sledge hammer blows on the ice. Two 8.66km lines similar to those at New Harbour were laid out in the for of a ""T"". Four extra shot points were incldued on line A because a complex sea bottom was expected near the islands." proprietary
-K042_1990_1991_NZ_2 1:20,000 geological map of Allan Hills ALL STAC Catalog 1990-12-07 1991-01-21 159.4167, -76.8333, -160, -76.5833 https://cmr.earthdata.nasa.gov/search/concepts/C1214592054-SCIOPS.umm_json A 1:20,000 scale geological map of Allan Hills and acompanying text was competed with the Weller Coal Measures being mapped to member level. Additional geographic control was established using a total station and three GPS sites. Three cairns were established near the head of Manhaul Bay and tied into the GPS network. proprietary
K042_1990_1991_NZ_2 1:20,000 geological map of Allan Hills SCIOPS STAC Catalog 1990-12-07 1991-01-21 159.4167, -76.8333, -160, -76.5833 https://cmr.earthdata.nasa.gov/search/concepts/C1214592054-SCIOPS.umm_json A 1:20,000 scale geological map of Allan Hills and acompanying text was competed with the Weller Coal Measures being mapped to member level. Additional geographic control was established using a total station and three GPS sites. Three cairns were established near the head of Manhaul Bay and tied into the GPS network. proprietary
+K042_1990_1991_NZ_2 1:20,000 geological map of Allan Hills ALL STAC Catalog 1990-12-07 1991-01-21 159.4167, -76.8333, -160, -76.5833 https://cmr.earthdata.nasa.gov/search/concepts/C1214592054-SCIOPS.umm_json A 1:20,000 scale geological map of Allan Hills and acompanying text was competed with the Weller Coal Measures being mapped to member level. Additional geographic control was established using a total station and three GPS sites. Three cairns were established near the head of Manhaul Bay and tied into the GPS network. proprietary
K043_1980_1982_NZ_1 A detailed investigation of the paleohydraulic regime (sinuosity, channel width, depth, slope, discharge of the river, etc) during the deposition of the Triassic alluvial plain sequence at Mt Bastion ALL STAC Catalog 1981-10-28 1981-11-21 160.5, -77.3333, 160.5, -77.3333 https://cmr.earthdata.nasa.gov/search/concepts/C1214591166-SCIOPS.umm_json The paleohydraulic Triassic alluvial plain sequence at the head of the Dry Valleys was studied. The Triassic Beacon Supergroup is divided into five stratigraphic units (The Fleming Member of the Feather Conglomerate and the Members A-D of the Lashly Formation) and all are exposed at Mt Bastion where this study was concerned. A detailed investigation of each unit was conducted to determine the paleohydraulic regimes operating during the Triassic deposition. The character of the river system (sinuosity, channel width, depth, slope, discharge, etc) was determined from features of the sedimentary sequence. proprietary
K043_1980_1982_NZ_1 A detailed investigation of the paleohydraulic regime (sinuosity, channel width, depth, slope, discharge of the river, etc) during the deposition of the Triassic alluvial plain sequence at Mt Bastion SCIOPS STAC Catalog 1981-10-28 1981-11-21 160.5, -77.3333, 160.5, -77.3333 https://cmr.earthdata.nasa.gov/search/concepts/C1214591166-SCIOPS.umm_json The paleohydraulic Triassic alluvial plain sequence at the head of the Dry Valleys was studied. The Triassic Beacon Supergroup is divided into five stratigraphic units (The Fleming Member of the Feather Conglomerate and the Members A-D of the Lashly Formation) and all are exposed at Mt Bastion where this study was concerned. A detailed investigation of each unit was conducted to determine the paleohydraulic regimes operating during the Triassic deposition. The character of the river system (sinuosity, channel width, depth, slope, discharge, etc) was determined from features of the sedimentary sequence. proprietary
K043_2006_2007_NZ_1 A mathmatical model of population dynamics to explain changes in biodiversity of microorganisms in ice covered marine environments ALL STAC Catalog 1970-01-01 163, -78, 171, -72 https://cmr.earthdata.nasa.gov/search/concepts/C1214591946-SCIOPS.umm_json Physical, geographic and biological data were linked into a mathmatical model of population dynamics to integrate and explain the changes in biodiversity of phytoplankton, bacteria and cyanobacteria in ice covered marine ecosystems at three coastal Antarctic sites (Terra Nova Bay, Granite Harbour and Cape Evans) over several seasons. Data for the model was collected from each site in different seasons. In this way, the model changes with latitude in the relative contributions from each community as well as changes in species composition and distribution. Over the course of study, repeat samplings at each site in different years will facilitate a build of a series of models that describe the biodiversity and health of microbial populations at each site, to enable a better understanding of their ecosystem function and the pressures they may be under. Satellite imagery of ice distributions, thickness and snow cover, and weather patterns were linked with latitudinal variations in biological data, and models of population structure and dynamics were developed. The data that was incorporated into the model included total biomass, chlorophyll content, rates of productivity, species distributions and abundances of microbial organisms within sea ice and in the water beneath. Where possible, variations in local conditions such as snow cover, ice thickness, surface and under ice irradiance were included. proprietary
K043_2006_2007_NZ_1 A mathmatical model of population dynamics to explain changes in biodiversity of microorganisms in ice covered marine environments SCIOPS STAC Catalog 1970-01-01 163, -78, 171, -72 https://cmr.earthdata.nasa.gov/search/concepts/C1214591946-SCIOPS.umm_json Physical, geographic and biological data were linked into a mathmatical model of population dynamics to integrate and explain the changes in biodiversity of phytoplankton, bacteria and cyanobacteria in ice covered marine ecosystems at three coastal Antarctic sites (Terra Nova Bay, Granite Harbour and Cape Evans) over several seasons. Data for the model was collected from each site in different seasons. In this way, the model changes with latitude in the relative contributions from each community as well as changes in species composition and distribution. Over the course of study, repeat samplings at each site in different years will facilitate a build of a series of models that describe the biodiversity and health of microbial populations at each site, to enable a better understanding of their ecosystem function and the pressures they may be under. Satellite imagery of ice distributions, thickness and snow cover, and weather patterns were linked with latitudinal variations in biological data, and models of population structure and dynamics were developed. The data that was incorporated into the model included total biomass, chlorophyll content, rates of productivity, species distributions and abundances of microbial organisms within sea ice and in the water beneath. Where possible, variations in local conditions such as snow cover, ice thickness, surface and under ice irradiance were included. proprietary
-K043_2006_2008_NZ_2 Algal response to transplantation with a ice core flipping experiment, Terra Nova Bay, Ross Sea SCIOPS STAC Catalog 2006-11-03 2006-12-09 164.5, -74.8333, 164.5, -74.8333 https://cmr.earthdata.nasa.gov/search/concepts/C1214590966-SCIOPS.umm_json Three ice cores were drilled in sea ice (2.1 m thick) in the region of Gondwana Station in Terra Nova Bay during the 06-07 season. The cores were stored in black plastic bags and then replaced back within the same hole but in reverse order so that the algae from the bottom of the ice were now at the surface of the ice and the ice at the ice surface were now at the ice water interface at the bottom of the sea ice. An additional three profile cores were also drilled but were replaced back into their original holes in the normal configuration as a control. A further 3 cores were then extracted from the ice and processed for chlorophyll, cell numbers and species composition etc as above. At the end of the deployment period the six cores still in the ice were redrilled and extracted from the ice and samples also taken for chlorophyll, cell numbers and species composition as above. A further 3 cores of undisturbed ice were also taken. proprietary
K043_2006_2008_NZ_2 Algal response to transplantation with a ice core flipping experiment, Terra Nova Bay, Ross Sea ALL STAC Catalog 2006-11-03 2006-12-09 164.5, -74.8333, 164.5, -74.8333 https://cmr.earthdata.nasa.gov/search/concepts/C1214590966-SCIOPS.umm_json Three ice cores were drilled in sea ice (2.1 m thick) in the region of Gondwana Station in Terra Nova Bay during the 06-07 season. The cores were stored in black plastic bags and then replaced back within the same hole but in reverse order so that the algae from the bottom of the ice were now at the surface of the ice and the ice at the ice surface were now at the ice water interface at the bottom of the sea ice. An additional three profile cores were also drilled but were replaced back into their original holes in the normal configuration as a control. A further 3 cores were then extracted from the ice and processed for chlorophyll, cell numbers and species composition etc as above. At the end of the deployment period the six cores still in the ice were redrilled and extracted from the ice and samples also taken for chlorophyll, cell numbers and species composition as above. A further 3 cores of undisturbed ice were also taken. proprietary
-K048_1992_1993_NZ_1 A collection of lithospheric xenoliths from the Executive Committee Range and Mt Murphy Volcanic Complex in West Antarctica and the McMurdo Volcanic Province in McMurdo Sound SCIOPS STAC Catalog 1992-11-14 1992-12-01 -166, -78.4, -166.41667, -75.3667 https://cmr.earthdata.nasa.gov/search/concepts/C1214593948-SCIOPS.umm_json Lithospheric xenoliths are a convenient and relatively cost efficient means of gaining an insight into the petrology of the deep earth. As such, they provide important information on lithospheric structure and processes and can be used to gauge thermal regime and possibly , the timing of events. Lithospheric xenoliths were collected in the 1989/90 and 1990/91 season from Marie Byrd Land, West Antarctica, including Mt Waesche, Mt Sidley, Mt Cumming, Mt Hampton and the USAS Escarpment (Mt Aldaz) in the Executive Committee Range and Mt Murphy in the Mount Murphy Volcanic Complex. Further samples were collected in the 1992/93 season from the McMurdo Volcanic Province at a number of localities on and adjacent to Ross Island (Hut Point Peninsula (Half Moon Crater, Sulphur Cones, Turtle Rock) and Cape Bird), Black Island and in the foothills of the Transantarctic Mountains (Foster Crater on the Koettlitz Glacier). The majority of the samples collected in the 1992/93 season supplemented a collection compiled from the 1982/83 and 1984/85 season. The xenoliths vary from texturally variable, spinel lherzolites and dunites representative of upper mantle assemblages to ultramafic Al-augite kaersutite bearing ultramafic rocks and plagioclase bearing ultramafic to mafic granulites thought to represent the transition zone between upper mantle and lower crust. proprietary
+K043_2006_2008_NZ_2 Algal response to transplantation with a ice core flipping experiment, Terra Nova Bay, Ross Sea SCIOPS STAC Catalog 2006-11-03 2006-12-09 164.5, -74.8333, 164.5, -74.8333 https://cmr.earthdata.nasa.gov/search/concepts/C1214590966-SCIOPS.umm_json Three ice cores were drilled in sea ice (2.1 m thick) in the region of Gondwana Station in Terra Nova Bay during the 06-07 season. The cores were stored in black plastic bags and then replaced back within the same hole but in reverse order so that the algae from the bottom of the ice were now at the surface of the ice and the ice at the ice surface were now at the ice water interface at the bottom of the sea ice. An additional three profile cores were also drilled but were replaced back into their original holes in the normal configuration as a control. A further 3 cores were then extracted from the ice and processed for chlorophyll, cell numbers and species composition etc as above. At the end of the deployment period the six cores still in the ice were redrilled and extracted from the ice and samples also taken for chlorophyll, cell numbers and species composition as above. A further 3 cores of undisturbed ice were also taken. proprietary
K048_1992_1993_NZ_1 A collection of lithospheric xenoliths from the Executive Committee Range and Mt Murphy Volcanic Complex in West Antarctica and the McMurdo Volcanic Province in McMurdo Sound ALL STAC Catalog 1992-11-14 1992-12-01 -166, -78.4, -166.41667, -75.3667 https://cmr.earthdata.nasa.gov/search/concepts/C1214593948-SCIOPS.umm_json Lithospheric xenoliths are a convenient and relatively cost efficient means of gaining an insight into the petrology of the deep earth. As such, they provide important information on lithospheric structure and processes and can be used to gauge thermal regime and possibly , the timing of events. Lithospheric xenoliths were collected in the 1989/90 and 1990/91 season from Marie Byrd Land, West Antarctica, including Mt Waesche, Mt Sidley, Mt Cumming, Mt Hampton and the USAS Escarpment (Mt Aldaz) in the Executive Committee Range and Mt Murphy in the Mount Murphy Volcanic Complex. Further samples were collected in the 1992/93 season from the McMurdo Volcanic Province at a number of localities on and adjacent to Ross Island (Hut Point Peninsula (Half Moon Crater, Sulphur Cones, Turtle Rock) and Cape Bird), Black Island and in the foothills of the Transantarctic Mountains (Foster Crater on the Koettlitz Glacier). The majority of the samples collected in the 1992/93 season supplemented a collection compiled from the 1982/83 and 1984/85 season. The xenoliths vary from texturally variable, spinel lherzolites and dunites representative of upper mantle assemblages to ultramafic Al-augite kaersutite bearing ultramafic rocks and plagioclase bearing ultramafic to mafic granulites thought to represent the transition zone between upper mantle and lower crust. proprietary
-K052_1982_1983_NZ_4 Algae, fungi and actinomycetes from soils of Mt Erebus SCIOPS STAC Catalog 1982-12-04 1982-12-05 167.2833, -77.8833, 167.2833, -77.8833 https://cmr.earthdata.nasa.gov/search/concepts/C1214593380-SCIOPS.umm_json Soil samples were collected from the crater of Mt Erebus. Yeast glucose agar and penicillin and streptomycin was used to culture thermophilic microbes, fungi and actinomycetes. Several thermophilic microbes, fungi and actinomycetes were isolated and established in pure culture. proprietary
+K048_1992_1993_NZ_1 A collection of lithospheric xenoliths from the Executive Committee Range and Mt Murphy Volcanic Complex in West Antarctica and the McMurdo Volcanic Province in McMurdo Sound SCIOPS STAC Catalog 1992-11-14 1992-12-01 -166, -78.4, -166.41667, -75.3667 https://cmr.earthdata.nasa.gov/search/concepts/C1214593948-SCIOPS.umm_json Lithospheric xenoliths are a convenient and relatively cost efficient means of gaining an insight into the petrology of the deep earth. As such, they provide important information on lithospheric structure and processes and can be used to gauge thermal regime and possibly , the timing of events. Lithospheric xenoliths were collected in the 1989/90 and 1990/91 season from Marie Byrd Land, West Antarctica, including Mt Waesche, Mt Sidley, Mt Cumming, Mt Hampton and the USAS Escarpment (Mt Aldaz) in the Executive Committee Range and Mt Murphy in the Mount Murphy Volcanic Complex. Further samples were collected in the 1992/93 season from the McMurdo Volcanic Province at a number of localities on and adjacent to Ross Island (Hut Point Peninsula (Half Moon Crater, Sulphur Cones, Turtle Rock) and Cape Bird), Black Island and in the foothills of the Transantarctic Mountains (Foster Crater on the Koettlitz Glacier). The majority of the samples collected in the 1992/93 season supplemented a collection compiled from the 1982/83 and 1984/85 season. The xenoliths vary from texturally variable, spinel lherzolites and dunites representative of upper mantle assemblages to ultramafic Al-augite kaersutite bearing ultramafic rocks and plagioclase bearing ultramafic to mafic granulites thought to represent the transition zone between upper mantle and lower crust. proprietary
K052_1982_1983_NZ_4 Algae, fungi and actinomycetes from soils of Mt Erebus ALL STAC Catalog 1982-12-04 1982-12-05 167.2833, -77.8833, 167.2833, -77.8833 https://cmr.earthdata.nasa.gov/search/concepts/C1214593380-SCIOPS.umm_json Soil samples were collected from the crater of Mt Erebus. Yeast glucose agar and penicillin and streptomycin was used to culture thermophilic microbes, fungi and actinomycetes. Several thermophilic microbes, fungi and actinomycetes were isolated and established in pure culture. proprietary
-K052_1982_1983_NZ_5 A hot house experiment at Cape Bird to determine the effects of microclimate on plant establishment ALL STAC Catalog 1982-11-17 1983-01-27 166.405, -77.142, 166.405, -77.142 https://cmr.earthdata.nasa.gov/search/concepts/C1214593365-SCIOPS.umm_json A small perspex frame was placed over bare mineral soil adjacent to the mosses in Keble Valley to examine the effects of humidity, temperature and microclimate on plant establishment. Many green shoots and algae were observed within the frame whilst the control site was bare of vegetation. The area was resurveyed a year later. A six channel temperature probe was used to test the microclimate. proprietary
+K052_1982_1983_NZ_4 Algae, fungi and actinomycetes from soils of Mt Erebus SCIOPS STAC Catalog 1982-12-04 1982-12-05 167.2833, -77.8833, 167.2833, -77.8833 https://cmr.earthdata.nasa.gov/search/concepts/C1214593380-SCIOPS.umm_json Soil samples were collected from the crater of Mt Erebus. Yeast glucose agar and penicillin and streptomycin was used to culture thermophilic microbes, fungi and actinomycetes. Several thermophilic microbes, fungi and actinomycetes were isolated and established in pure culture. proprietary
K052_1982_1983_NZ_5 A hot house experiment at Cape Bird to determine the effects of microclimate on plant establishment SCIOPS STAC Catalog 1982-11-17 1983-01-27 166.405, -77.142, 166.405, -77.142 https://cmr.earthdata.nasa.gov/search/concepts/C1214593365-SCIOPS.umm_json A small perspex frame was placed over bare mineral soil adjacent to the mosses in Keble Valley to examine the effects of humidity, temperature and microclimate on plant establishment. Many green shoots and algae were observed within the frame whilst the control site was bare of vegetation. The area was resurveyed a year later. A six channel temperature probe was used to test the microclimate. proprietary
-K053_1990_1991_NZ_2 Algae cultures from air trap samples, snow samples and algal surveys from Scott Base, the Ross Ice Shelf and Victoria Valley to determine the dispersal of algae by wind within Antarctica ALL STAC Catalog 1990-12-19 1991-01-28 161.5, -77.85, 166.75, -77.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214591606-SCIOPS.umm_json The dispersal of algae by wind within Antarctica was investigated by testing four techniques for detecting viable algae in the air: 1) High through put 'jet' spore samples, 2) Clinical monitors, 3) Liquid impinger and 4) Tauber traps. Air was sampled from Scott Base, the Ross Ice Shelf (at a site east of a line between Cape Crozier on Ross Island and White Island) and Victoria Valley (west end of Lake Vida). Snow drifts were also sampled from the Ross Ice Shelf as they were considered to be natural long term particle traps. Samples were also taken of visible algal growths on soils, in streams and in ponds in the vicinity of Scott Base. Soil samples were removed from the driest surfaces where no vegetation was visible. Cultures established from these were used to indicate the composition of the local algal flora for comparison with airborne species. In Victoria Valley, an extensive survey of the aquatic and terrestrial algae in the valley and along some of the ridges and upper valley sides was completed for knowledge of local sources of airborne propagules for comparison with the air samples. proprietary
+K052_1982_1983_NZ_5 A hot house experiment at Cape Bird to determine the effects of microclimate on plant establishment ALL STAC Catalog 1982-11-17 1983-01-27 166.405, -77.142, 166.405, -77.142 https://cmr.earthdata.nasa.gov/search/concepts/C1214593365-SCIOPS.umm_json A small perspex frame was placed over bare mineral soil adjacent to the mosses in Keble Valley to examine the effects of humidity, temperature and microclimate on plant establishment. Many green shoots and algae were observed within the frame whilst the control site was bare of vegetation. The area was resurveyed a year later. A six channel temperature probe was used to test the microclimate. proprietary
K053_1990_1991_NZ_2 Algae cultures from air trap samples, snow samples and algal surveys from Scott Base, the Ross Ice Shelf and Victoria Valley to determine the dispersal of algae by wind within Antarctica SCIOPS STAC Catalog 1990-12-19 1991-01-28 161.5, -77.85, 166.75, -77.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214591606-SCIOPS.umm_json The dispersal of algae by wind within Antarctica was investigated by testing four techniques for detecting viable algae in the air: 1) High through put 'jet' spore samples, 2) Clinical monitors, 3) Liquid impinger and 4) Tauber traps. Air was sampled from Scott Base, the Ross Ice Shelf (at a site east of a line between Cape Crozier on Ross Island and White Island) and Victoria Valley (west end of Lake Vida). Snow drifts were also sampled from the Ross Ice Shelf as they were considered to be natural long term particle traps. Samples were also taken of visible algal growths on soils, in streams and in ponds in the vicinity of Scott Base. Soil samples were removed from the driest surfaces where no vegetation was visible. Cultures established from these were used to indicate the composition of the local algal flora for comparison with airborne species. In Victoria Valley, an extensive survey of the aquatic and terrestrial algae in the valley and along some of the ridges and upper valley sides was completed for knowledge of local sources of airborne propagules for comparison with the air samples. proprietary
-K054_1988_1989_NZ_1 A grafting experiment testing the ability of Antarctic sponges to recognise self from non-self tissue and their immune response ALL STAC Catalog 1988-10-14 1988-11-24 166.6667, -77.85, 166.6667, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214593984-SCIOPS.umm_json A dive site was selected at Cape Armitage to conduct a marine benthos survey. The water was approximately 25m deep and the bottom was found to be rocky and inhabited by sponges. Four sponge species were grafted in an exercise to test the sponges ability to recognise self from non-self tissue and to examine any immune response. The experiments also allowed for the examination of the genetic relatedness among individuals on the reef. Grafter were made by cutting 1cm3 pieces of tissue from a donor sponge and embedding them in replicate host sponges of the same species at varying distances from the donor. Grafters were left in place for up to one week and were monitored daily. At the completion of the experiment, the graft site was excised from the host and frozen for further analysis. proprietary
+K053_1990_1991_NZ_2 Algae cultures from air trap samples, snow samples and algal surveys from Scott Base, the Ross Ice Shelf and Victoria Valley to determine the dispersal of algae by wind within Antarctica ALL STAC Catalog 1990-12-19 1991-01-28 161.5, -77.85, 166.75, -77.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214591606-SCIOPS.umm_json The dispersal of algae by wind within Antarctica was investigated by testing four techniques for detecting viable algae in the air: 1) High through put 'jet' spore samples, 2) Clinical monitors, 3) Liquid impinger and 4) Tauber traps. Air was sampled from Scott Base, the Ross Ice Shelf (at a site east of a line between Cape Crozier on Ross Island and White Island) and Victoria Valley (west end of Lake Vida). Snow drifts were also sampled from the Ross Ice Shelf as they were considered to be natural long term particle traps. Samples were also taken of visible algal growths on soils, in streams and in ponds in the vicinity of Scott Base. Soil samples were removed from the driest surfaces where no vegetation was visible. Cultures established from these were used to indicate the composition of the local algal flora for comparison with airborne species. In Victoria Valley, an extensive survey of the aquatic and terrestrial algae in the valley and along some of the ridges and upper valley sides was completed for knowledge of local sources of airborne propagules for comparison with the air samples. proprietary
K054_1988_1989_NZ_1 A grafting experiment testing the ability of Antarctic sponges to recognise self from non-self tissue and their immune response SCIOPS STAC Catalog 1988-10-14 1988-11-24 166.6667, -77.85, 166.6667, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214593984-SCIOPS.umm_json A dive site was selected at Cape Armitage to conduct a marine benthos survey. The water was approximately 25m deep and the bottom was found to be rocky and inhabited by sponges. Four sponge species were grafted in an exercise to test the sponges ability to recognise self from non-self tissue and to examine any immune response. The experiments also allowed for the examination of the genetic relatedness among individuals on the reef. Grafter were made by cutting 1cm3 pieces of tissue from a donor sponge and embedding them in replicate host sponges of the same species at varying distances from the donor. Grafters were left in place for up to one week and were monitored daily. At the completion of the experiment, the graft site was excised from the host and frozen for further analysis. proprietary
+K054_1988_1989_NZ_1 A grafting experiment testing the ability of Antarctic sponges to recognise self from non-self tissue and their immune response ALL STAC Catalog 1988-10-14 1988-11-24 166.6667, -77.85, 166.6667, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214593984-SCIOPS.umm_json A dive site was selected at Cape Armitage to conduct a marine benthos survey. The water was approximately 25m deep and the bottom was found to be rocky and inhabited by sponges. Four sponge species were grafted in an exercise to test the sponges ability to recognise self from non-self tissue and to examine any immune response. The experiments also allowed for the examination of the genetic relatedness among individuals on the reef. Grafter were made by cutting 1cm3 pieces of tissue from a donor sponge and embedding them in replicate host sponges of the same species at varying distances from the donor. Grafters were left in place for up to one week and were monitored daily. At the completion of the experiment, the graft site was excised from the host and frozen for further analysis. proprietary
K054_1988_1989_NZ_3 A survey of the density of starfish and sea urchins to determine the grazing pressure of these species on a sponge dominated reef, Cape Armitage ALL STAC Catalog 1988-10-14 1988-11-24 166.6667, -77.85, 166.6667, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214593986-SCIOPS.umm_json In order to determine the grazing pressure of starfish and sea urchin species on the benthic community of a reef at Cape Armitage, a survey was made of these species densities. The survey was stratified by depth. All individuals encountered in five 20m x 1m transects at each depth level were identified and measured. Each animal was examined in order to identify any species. Twelve further 1m x 1m quadrats were examined in detail specifically to look for smaller individuals. proprietary
K054_1988_1989_NZ_3 A survey of the density of starfish and sea urchins to determine the grazing pressure of these species on a sponge dominated reef, Cape Armitage SCIOPS STAC Catalog 1988-10-14 1988-11-24 166.6667, -77.85, 166.6667, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214593986-SCIOPS.umm_json In order to determine the grazing pressure of starfish and sea urchin species on the benthic community of a reef at Cape Armitage, a survey was made of these species densities. The survey was stratified by depth. All individuals encountered in five 20m x 1m transects at each depth level were identified and measured. Each animal was examined in order to identify any species. Twelve further 1m x 1m quadrats were examined in detail specifically to look for smaller individuals. proprietary
-K057_1999_2000_NZ_2 A partitioning experiments to determine the aetiology of x-cell disease ALL STAC Catalog 1999-11-01 1999-12-30 166.75, -77.85, 166.75, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214593003-SCIOPS.umm_json Captured Pagothenia borchgrevinki fish were placed into an aquarium and partitioned into tanks as all healthy, all x-cell or a mixture of the two. Lengths and weights of all fish were measured and the degree of infection was determined for all affected fish. Fish were left in this set up for one month. At the end of the month, the death rate of the fish was measured to help determine unknown factors of the disease such as what the disease is, how is it spread, how quickly does it travel along the gills of individual fish, what happens when 100% of a fishes fills become covered with the disease and does the fish recover? Samples of healthy and x-cell affected tissues were collected for analysis. proprietary
K057_1999_2000_NZ_2 A partitioning experiments to determine the aetiology of x-cell disease SCIOPS STAC Catalog 1999-11-01 1999-12-30 166.75, -77.85, 166.75, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214593003-SCIOPS.umm_json Captured Pagothenia borchgrevinki fish were placed into an aquarium and partitioned into tanks as all healthy, all x-cell or a mixture of the two. Lengths and weights of all fish were measured and the degree of infection was determined for all affected fish. Fish were left in this set up for one month. At the end of the month, the death rate of the fish was measured to help determine unknown factors of the disease such as what the disease is, how is it spread, how quickly does it travel along the gills of individual fish, what happens when 100% of a fishes fills become covered with the disease and does the fish recover? Samples of healthy and x-cell affected tissues were collected for analysis. proprietary
+K057_1999_2000_NZ_2 A partitioning experiments to determine the aetiology of x-cell disease ALL STAC Catalog 1999-11-01 1999-12-30 166.75, -77.85, 166.75, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1214593003-SCIOPS.umm_json Captured Pagothenia borchgrevinki fish were placed into an aquarium and partitioned into tanks as all healthy, all x-cell or a mixture of the two. Lengths and weights of all fish were measured and the degree of infection was determined for all affected fish. Fish were left in this set up for one month. At the end of the month, the death rate of the fish was measured to help determine unknown factors of the disease such as what the disease is, how is it spread, how quickly does it travel along the gills of individual fish, what happens when 100% of a fishes fills become covered with the disease and does the fish recover? Samples of healthy and x-cell affected tissues were collected for analysis. proprietary
K061_1986_1987_NZ_2 A detailed study of the origin of Olympus Granite Gneiss SCIOPS STAC Catalog 1986-12-15 1987-01-22 161, -77.58, 162.5, -77.41 https://cmr.earthdata.nasa.gov/search/concepts/C1214590869-SCIOPS.umm_json A detailed study of the Olympus Granite Gneiss with particular emphasis on foliation development and its relationship to deformation of Koettlitz Group metasediments, in an attempt to understand its origin was undertaken with a three stage investigation. Firstly, the Olympus Granite Gneiss in the Bull Pass area was studied and sampled with emphasis on its relation to Dais Granite. Secondly, the Koettlitz Group metasediment was studied and sampled looking in detail at anatectic processes associated with deformation of these rocks, including mapping and measuring sections of both Olympus Granite Gneiss/Koettlitz Group contacts. Thirdly, the 'classic locality' of Dais Granite was studied and this rock-types relationship to highly deformed rocks mapped by earlier workers. Laboratory work included detailed structural analysis at all scales, petrographic studies and geochemical analyses. proprietary
K061_1986_1987_NZ_2 A detailed study of the origin of Olympus Granite Gneiss ALL STAC Catalog 1986-12-15 1987-01-22 161, -77.58, 162.5, -77.41 https://cmr.earthdata.nasa.gov/search/concepts/C1214590869-SCIOPS.umm_json A detailed study of the Olympus Granite Gneiss with particular emphasis on foliation development and its relationship to deformation of Koettlitz Group metasediments, in an attempt to understand its origin was undertaken with a three stage investigation. Firstly, the Olympus Granite Gneiss in the Bull Pass area was studied and sampled with emphasis on its relation to Dais Granite. Secondly, the Koettlitz Group metasediment was studied and sampled looking in detail at anatectic processes associated with deformation of these rocks, including mapping and measuring sections of both Olympus Granite Gneiss/Koettlitz Group contacts. Thirdly, the 'classic locality' of Dais Granite was studied and this rock-types relationship to highly deformed rocks mapped by earlier workers. Laboratory work included detailed structural analysis at all scales, petrographic studies and geochemical analyses. proprietary
-K061_1992_1995_NZ_1 A comparative examination of the origin, structure and metamorphism of the Skelton and Koettlitz Group (basement lithologies) in South Victoria Land, Antarctica. ALL STAC Catalog 1992-11-19 1994-12-20 160, -79, 165, -74 https://cmr.earthdata.nasa.gov/search/concepts/C1214591224-SCIOPS.umm_json A comparative examination of the origin, structure and metamorphism of the Skelton and Koettlitz Group (Wilson Terrane) was carried out over three field seasons to determine a) if the two groups could be correlatives, b) the nature of their relationship and c) to account for the difference in strain between them. The effect of plutons on regional and local structure of the Wilson Terrane was examined. The Renegar Glacier was mapped in detail and a study of high strain zones between Koettlitz Group and mafic plutonic bodies was assessed. Samples of plutonic mafic rocks were taken to analyse the chemical and mineralogical response of these rocks to high strain. Detailed mapping of the Skelton Group was carried out around the Cocks Glacier from north of Baronick Glacier to Red Dyke to the SW ridge of Mt Cocks. The lithologies were examined and the stratigraphy at three different localities was established on local and regional scales. North of the Renegar Glacier, the Koettlitz group was also examined. Samples, orientated to distinctive lithogies, were collected. The variation in strain was noted, large bodies of orthogneiss was examined structurally and lithologically and sampled for dating. The outcrop of the Skelton Group was mapped on the east ridge of Mt Kemp and structural relation to the neighbouring rocks was determined. The Williams Peak – Hobbs Peak area was mapped in detail and salmon marble was sampled. The nature of the eastern contact of the Bonney Pluton and the effect of the intrusion of this pluton into the Koettlitz Group was examined. The type section of the Hobbs formation was studied along the east ridge of Hobbs Peak with the degree of strain ascertained. Outcrops and rocks were examined at Radian Ridge, Mount Cocks, Preistly Glacier, Salient Glacier and Substitution Ridge. Field notes and samples were taken along the way to establish the relationships between tectonic and metamorphic sub-areas. Granite, schists, diorite and gabbro were sampled from Panorama Glacier, Marshall Valley, Taylor Valley, Walker Rocks, and Campbell Glacier to propose an indication of the original environment of initial formation of the rocks and provided insight into the processes operating at varying crustal levels during orogenesis. At Mt Dromedary, a sequence was examined for the significant shear zone separating two distinct structural blocks, inferred from pervious mapping. At Teal Island the area was examined and found sediments and rocks which link between the lithologies of the Skelton area. At Mt Huggins a subsidiary ridge was examined finding undeformed metasediments. proprietary
K061_1992_1995_NZ_1 A comparative examination of the origin, structure and metamorphism of the Skelton and Koettlitz Group (basement lithologies) in South Victoria Land, Antarctica. SCIOPS STAC Catalog 1992-11-19 1994-12-20 160, -79, 165, -74 https://cmr.earthdata.nasa.gov/search/concepts/C1214591224-SCIOPS.umm_json A comparative examination of the origin, structure and metamorphism of the Skelton and Koettlitz Group (Wilson Terrane) was carried out over three field seasons to determine a) if the two groups could be correlatives, b) the nature of their relationship and c) to account for the difference in strain between them. The effect of plutons on regional and local structure of the Wilson Terrane was examined. The Renegar Glacier was mapped in detail and a study of high strain zones between Koettlitz Group and mafic plutonic bodies was assessed. Samples of plutonic mafic rocks were taken to analyse the chemical and mineralogical response of these rocks to high strain. Detailed mapping of the Skelton Group was carried out around the Cocks Glacier from north of Baronick Glacier to Red Dyke to the SW ridge of Mt Cocks. The lithologies were examined and the stratigraphy at three different localities was established on local and regional scales. North of the Renegar Glacier, the Koettlitz group was also examined. Samples, orientated to distinctive lithogies, were collected. The variation in strain was noted, large bodies of orthogneiss was examined structurally and lithologically and sampled for dating. The outcrop of the Skelton Group was mapped on the east ridge of Mt Kemp and structural relation to the neighbouring rocks was determined. The Williams Peak – Hobbs Peak area was mapped in detail and salmon marble was sampled. The nature of the eastern contact of the Bonney Pluton and the effect of the intrusion of this pluton into the Koettlitz Group was examined. The type section of the Hobbs formation was studied along the east ridge of Hobbs Peak with the degree of strain ascertained. Outcrops and rocks were examined at Radian Ridge, Mount Cocks, Preistly Glacier, Salient Glacier and Substitution Ridge. Field notes and samples were taken along the way to establish the relationships between tectonic and metamorphic sub-areas. Granite, schists, diorite and gabbro were sampled from Panorama Glacier, Marshall Valley, Taylor Valley, Walker Rocks, and Campbell Glacier to propose an indication of the original environment of initial formation of the rocks and provided insight into the processes operating at varying crustal levels during orogenesis. At Mt Dromedary, a sequence was examined for the significant shear zone separating two distinct structural blocks, inferred from pervious mapping. At Teal Island the area was examined and found sediments and rocks which link between the lithologies of the Skelton area. At Mt Huggins a subsidiary ridge was examined finding undeformed metasediments. proprietary
-K061_2001_2002_NZ_2 A reconstruction of the record of volcanic processes within the vent of a large and explosive basaltic eruption in the Mawson Formation in the Allan Hills SCIOPS STAC Catalog 2001-11-28 2001-12-22 159.65, -78.7333, 159.65, -78.7333 https://cmr.earthdata.nasa.gov/search/concepts/C1214591068-SCIOPS.umm_json The contact relationship between volcanic deposits and surrounding country rocks of the Beacon Supergroup are steep over a large area. Beyond the landslide deposits along the contact between Beacon country rock and Mawson volcaniclastic rocks lies the Mawson itself. An area in which the remains of a single vent of the vent complex was well exposed, on both steep and subhorizontal ground surfaces, was mapped in detail with the geometric relationships between different bodies of volcaniclastic rock examined. The characteristics of the processes that cause one body of debris to be apparently shot through the other was investigated. Standard geological mapping techniques, photographs, scaled sketches and rock samples were used to create a 3-dimensional reconstruction of the record of volcanic processes within the vent of a large and explosive basaltic eruption. proprietary
+K061_1992_1995_NZ_1 A comparative examination of the origin, structure and metamorphism of the Skelton and Koettlitz Group (basement lithologies) in South Victoria Land, Antarctica. ALL STAC Catalog 1992-11-19 1994-12-20 160, -79, 165, -74 https://cmr.earthdata.nasa.gov/search/concepts/C1214591224-SCIOPS.umm_json A comparative examination of the origin, structure and metamorphism of the Skelton and Koettlitz Group (Wilson Terrane) was carried out over three field seasons to determine a) if the two groups could be correlatives, b) the nature of their relationship and c) to account for the difference in strain between them. The effect of plutons on regional and local structure of the Wilson Terrane was examined. The Renegar Glacier was mapped in detail and a study of high strain zones between Koettlitz Group and mafic plutonic bodies was assessed. Samples of plutonic mafic rocks were taken to analyse the chemical and mineralogical response of these rocks to high strain. Detailed mapping of the Skelton Group was carried out around the Cocks Glacier from north of Baronick Glacier to Red Dyke to the SW ridge of Mt Cocks. The lithologies were examined and the stratigraphy at three different localities was established on local and regional scales. North of the Renegar Glacier, the Koettlitz group was also examined. Samples, orientated to distinctive lithogies, were collected. The variation in strain was noted, large bodies of orthogneiss was examined structurally and lithologically and sampled for dating. The outcrop of the Skelton Group was mapped on the east ridge of Mt Kemp and structural relation to the neighbouring rocks was determined. The Williams Peak – Hobbs Peak area was mapped in detail and salmon marble was sampled. The nature of the eastern contact of the Bonney Pluton and the effect of the intrusion of this pluton into the Koettlitz Group was examined. The type section of the Hobbs formation was studied along the east ridge of Hobbs Peak with the degree of strain ascertained. Outcrops and rocks were examined at Radian Ridge, Mount Cocks, Preistly Glacier, Salient Glacier and Substitution Ridge. Field notes and samples were taken along the way to establish the relationships between tectonic and metamorphic sub-areas. Granite, schists, diorite and gabbro were sampled from Panorama Glacier, Marshall Valley, Taylor Valley, Walker Rocks, and Campbell Glacier to propose an indication of the original environment of initial formation of the rocks and provided insight into the processes operating at varying crustal levels during orogenesis. At Mt Dromedary, a sequence was examined for the significant shear zone separating two distinct structural blocks, inferred from pervious mapping. At Teal Island the area was examined and found sediments and rocks which link between the lithologies of the Skelton area. At Mt Huggins a subsidiary ridge was examined finding undeformed metasediments. proprietary
K061_2001_2002_NZ_2 A reconstruction of the record of volcanic processes within the vent of a large and explosive basaltic eruption in the Mawson Formation in the Allan Hills ALL STAC Catalog 2001-11-28 2001-12-22 159.65, -78.7333, 159.65, -78.7333 https://cmr.earthdata.nasa.gov/search/concepts/C1214591068-SCIOPS.umm_json The contact relationship between volcanic deposits and surrounding country rocks of the Beacon Supergroup are steep over a large area. Beyond the landslide deposits along the contact between Beacon country rock and Mawson volcaniclastic rocks lies the Mawson itself. An area in which the remains of a single vent of the vent complex was well exposed, on both steep and subhorizontal ground surfaces, was mapped in detail with the geometric relationships between different bodies of volcaniclastic rock examined. The characteristics of the processes that cause one body of debris to be apparently shot through the other was investigated. Standard geological mapping techniques, photographs, scaled sketches and rock samples were used to create a 3-dimensional reconstruction of the record of volcanic processes within the vent of a large and explosive basaltic eruption. proprietary
+K061_2001_2002_NZ_2 A reconstruction of the record of volcanic processes within the vent of a large and explosive basaltic eruption in the Mawson Formation in the Allan Hills SCIOPS STAC Catalog 2001-11-28 2001-12-22 159.65, -78.7333, 159.65, -78.7333 https://cmr.earthdata.nasa.gov/search/concepts/C1214591068-SCIOPS.umm_json The contact relationship between volcanic deposits and surrounding country rocks of the Beacon Supergroup are steep over a large area. Beyond the landslide deposits along the contact between Beacon country rock and Mawson volcaniclastic rocks lies the Mawson itself. An area in which the remains of a single vent of the vent complex was well exposed, on both steep and subhorizontal ground surfaces, was mapped in detail with the geometric relationships between different bodies of volcaniclastic rock examined. The characteristics of the processes that cause one body of debris to be apparently shot through the other was investigated. Standard geological mapping techniques, photographs, scaled sketches and rock samples were used to create a 3-dimensional reconstruction of the record of volcanic processes within the vent of a large and explosive basaltic eruption. proprietary
K062_2003_2004_NZ_1 Age determination of the detrital zircon component of crustal slices of Ross Orogen from the Skelton Glacier and Royal Society Ranges areas ALL STAC Catalog 2003-12-04 2004-11-22 161, -79, 163, -78.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214591360-SCIOPS.umm_json It is suggested that the Ross Orogeny is composed of a wide variety of crustal slices that are exotic to their present location and were accreted to the East Antarctic craton during the lower paleozoic Ross Orogeny. To test this hypothesis, rocks (metasedimentary rocks and granite) were sampled from crustal slices in both the Skelton Glacier and Royal Society Ranges including Renegar Glacier area, lower Radian Ridge, Rucker Ridge, Gloomy Hill, the Radian Glacier area, the upper Skelton Glacier area and Stepaside Spur. Samples were crushed and processed through heavy liquids and magnetic separation to isolate detrital grain of zircon and analysed by LAP-ICP-MS and their ages determined. The provenance, or source, of the detrital zircons can also be assessed from the specific characteristics of the age histogram. This enables (a) ready comparison between individual crustal slices to assess whether they originated in the same place prior to accretion and (b) it allows reconstruction of the terranes at the time of sedimentation and (c) it offers the possibility of determining the likely distance of travel of so called exotic terrances prior to accretion. proprietary
K062_2003_2004_NZ_1 Age determination of the detrital zircon component of crustal slices of Ross Orogen from the Skelton Glacier and Royal Society Ranges areas SCIOPS STAC Catalog 2003-12-04 2004-11-22 161, -79, 163, -78.25 https://cmr.earthdata.nasa.gov/search/concepts/C1214591360-SCIOPS.umm_json It is suggested that the Ross Orogeny is composed of a wide variety of crustal slices that are exotic to their present location and were accreted to the East Antarctic craton during the lower paleozoic Ross Orogeny. To test this hypothesis, rocks (metasedimentary rocks and granite) were sampled from crustal slices in both the Skelton Glacier and Royal Society Ranges including Renegar Glacier area, lower Radian Ridge, Rucker Ridge, Gloomy Hill, the Radian Glacier area, the upper Skelton Glacier area and Stepaside Spur. Samples were crushed and processed through heavy liquids and magnetic separation to isolate detrital grain of zircon and analysed by LAP-ICP-MS and their ages determined. The provenance, or source, of the detrital zircons can also be assessed from the specific characteristics of the age histogram. This enables (a) ready comparison between individual crustal slices to assess whether they originated in the same place prior to accretion and (b) it allows reconstruction of the terranes at the time of sedimentation and (c) it offers the possibility of determining the likely distance of travel of so called exotic terrances prior to accretion. proprietary
K063_1987_1988_NZ_2 Adelie penguin weights before and after foraging trips from three groups of penguins: control, single egg removed and penned females SCIOPS STAC Catalog 1987-11-01 1989-02-06 166.68, -77.17, 166.68, -77.17 https://cmr.earthdata.nasa.gov/search/concepts/C1214591134-SCIOPS.umm_json As an index of physiological condition and success of foraging, penguins were weighed early in the season when they were flipper banded and then re-weighed when they returned from their foraging trip. Three groups were compared: a control group that was left undisturbed except for the weighing, the removal group which the first egg from the nest was removed and the penned group where the female were prevented from going to sea for their first foraging trip by being placed in a pen for 4 days. These observations will contribute to the determination of any annual fluctuations in the success of penguin foraging. proprietary
@@ -8204,10 +8206,10 @@ K089_2001_2012_NZ_1 5 minute sea level, air temperature and barometric pressure
K089_2001_2013_NZ_1 5 minute sea level, air temperature and barometric pressure data from a monitoring station near Scott Base since 2001 - K089_2001_2013_NZ_1 ALL STAC Catalog 2001-01-01 166.75, -77.85, 166.75, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1221420599-SCIOPS.umm_json In January 2001, a sea level monitoring station was installed near to the reverse osmosis intake near Scott Base. The data are transmitted from the sensor, to a data logger at Scott Base. Data is logged and archived including 5 minute sea level, air temperature and barometric pressure data. The tide gauge records data at 5 minute intervals. Annually LINZ (Land Information New Zealand)calibrate the tide gauge over four tide cycles. A geodetic grade GPS receiver is set up on the sea ice near the tide gauge and another is set up on a permanent reference mark ashore. The GPS “observes” the rise and fall of the tide by measuring the changing height of the sea ice. A hole is drilled through the sea ice to enable the height of the reference point of the GPS receiver above the sea surface to be determined. The relationship of the height of the shore-based reference mark and the zero of the sea level sensor is known. These connections enable the height of the sea surface as determined by the sea level sensor to be compared to the height as determined by the GPS measurements. proprietary
K089_2001_2013_NZ_1 5 minute sea level, air temperature and barometric pressure data from a monitoring station near Scott Base since 2001 - K089_2001_2013_NZ_1 SCIOPS STAC Catalog 2001-01-01 166.75, -77.85, 166.75, -77.85 https://cmr.earthdata.nasa.gov/search/concepts/C1221420599-SCIOPS.umm_json In January 2001, a sea level monitoring station was installed near to the reverse osmosis intake near Scott Base. The data are transmitted from the sensor, to a data logger at Scott Base. Data is logged and archived including 5 minute sea level, air temperature and barometric pressure data. The tide gauge records data at 5 minute intervals. Annually LINZ (Land Information New Zealand)calibrate the tide gauge over four tide cycles. A geodetic grade GPS receiver is set up on the sea ice near the tide gauge and another is set up on a permanent reference mark ashore. The GPS “observes” the rise and fall of the tide by measuring the changing height of the sea ice. A hole is drilled through the sea ice to enable the height of the reference point of the GPS receiver above the sea surface to be determined. The relationship of the height of the shore-based reference mark and the zero of the sea level sensor is known. These connections enable the height of the sea surface as determined by the sea level sensor to be compared to the height as determined by the GPS measurements. proprietary
K10_SST-NAVO-L4-GLOB-v01_1.0 GHRSST Level 4 K10_SST Global 10 km Analyzed Sea Surface Temperature from Naval Oceanographic Office (NAVO) in GDS2.0 POCLOUD STAC Catalog 2019-01-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036881956-POCLOUD.umm_json This is a Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis dataset produced daily on an operational basis by the Naval Oceanographic Office (NAVO) on a global 0.1x0.1 degree grid. The K10 (NAVO 10-km gridded SST analyzed product) L4 analysis uses SST observations from the following instruments: Advanced Very High Resolution Radiometer (AVHRR), Visible Infrared Imaging Radiometer Suite (VIIRS), and Spinning Enhanced Visible and InfraRed Imager (SEVIRI). The AVHRR data for this comes from the MetOp-A, MetOp-B, and NOAA-19 satellites; VIIRS data is sourced from the Suomi_NPP satellite; SEVIRI data comes from the Meteosat-8 and -11 satellites. The age (time-lag), reliability, and resolution of the data are used in the weighted average with the analysis tuned to represent SST at a reference depth of 1-meter. Input data from the AVHRR Pathfinder 9km climatology dataset (1985-1999) is used when no new satellite SST retrievals are available after 34 days. Comparing with its predecessor (DOI: https://doi.org/10.5067/GHK10-L4N01 ), this updated dataset has no major changes in Level-4 interpolated K10 algorithm, except for using different satellite instrument data, and updating metadata and file format. The major updates include: (a) updated and enhanced the granule-level metadata information, (b) converted the SST file from GHRSST Data Specification (GDS) v1.0 to v2.0, (c) added the sea_ice_fraction variable to the product, and (d) updated the filename convention to reflect compliance with GDS v2.0. proprietary
-K112_1990_1991_NZ_1 1:25,000 geological mapping of the St Johns Range from the central Wright Valley to the Mackay Glacier and from the Miller Glacier to west of Victoria Valley SCIOPS STAC Catalog 1990-11-30 1991-01-16 160, -77.45, 164, -76.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594062-SCIOPS.umm_json The DSIRGEO mapping programme in the 1990/91 season was designed to link the area covered in 1989/90 (Convoy Range) with that covered in 1988/89 (Thundergut Sheet). The eventual aim of the programme is to produce a revised geology of Southern Victoria Land at a scale of 1:250,000. All rock types in the area between the central Wright Valley and the Mackay Glacier, from the Miller Glacier to west of the Victoria Valley were mapped at 1:50,000. The resulting St Johns map sheet will also incorporate previous studies. Field work aimed to establish the extent and intrusive relationships of the various granitoid plutons known to exist in the area and relate them to the area mapping in 1988/89 season to the south. The extent and nature of the small areas of Beacon sediments was also covered. Five major rock groups were mapped including Koettlitz Group metasediments and associated orthogneisses, granitoid plutons and related dikes, Beacon Supergroup sediments, Ferrar Group dolerites and surficial glacial and fluvioglacial deposits. proprietary
K112_1990_1991_NZ_1 1:25,000 geological mapping of the St Johns Range from the central Wright Valley to the Mackay Glacier and from the Miller Glacier to west of Victoria Valley ALL STAC Catalog 1990-11-30 1991-01-16 160, -77.45, 164, -76.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594062-SCIOPS.umm_json The DSIRGEO mapping programme in the 1990/91 season was designed to link the area covered in 1989/90 (Convoy Range) with that covered in 1988/89 (Thundergut Sheet). The eventual aim of the programme is to produce a revised geology of Southern Victoria Land at a scale of 1:250,000. All rock types in the area between the central Wright Valley and the Mackay Glacier, from the Miller Glacier to west of the Victoria Valley were mapped at 1:50,000. The resulting St Johns map sheet will also incorporate previous studies. Field work aimed to establish the extent and intrusive relationships of the various granitoid plutons known to exist in the area and relate them to the area mapping in 1988/89 season to the south. The extent and nature of the small areas of Beacon sediments was also covered. Five major rock groups were mapped including Koettlitz Group metasediments and associated orthogneisses, granitoid plutons and related dikes, Beacon Supergroup sediments, Ferrar Group dolerites and surficial glacial and fluvioglacial deposits. proprietary
-K122_2004_2005_NZ_4 Aerial photographs and ground counts for assessing breeding success of Adelie penguin (Pygoscelis adeliae) rookeries on Ross Island SCIOPS STAC Catalog 1983-11-24 166.3, -77.53, 169.55, -77.2166 https://cmr.earthdata.nasa.gov/search/concepts/C1214590789-SCIOPS.umm_json In conjunction with aerial photographs of the colonies ground truth counts were made since the 1983-1984 season at the Ross Island colonies. The number of occupied nests, nests with eggs, nests with both adults present and total penguins at the colony were censused to be able to check for accuracy of the counts from aerial photographs and to assess the breeding status and condition of the birds for that year. Since 1990, ground counts of chicks at each rookey were conducted in late January to measure breeding success (number of chicks/breeding pair). Approximately 100 chicks were selected randomly at each site and they had their weight and flipper length measured to calculate a chick condition index which is comparable between years and between the rookeries. proprietary
+K112_1990_1991_NZ_1 1:25,000 geological mapping of the St Johns Range from the central Wright Valley to the Mackay Glacier and from the Miller Glacier to west of Victoria Valley SCIOPS STAC Catalog 1990-11-30 1991-01-16 160, -77.45, 164, -76.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214594062-SCIOPS.umm_json The DSIRGEO mapping programme in the 1990/91 season was designed to link the area covered in 1989/90 (Convoy Range) with that covered in 1988/89 (Thundergut Sheet). The eventual aim of the programme is to produce a revised geology of Southern Victoria Land at a scale of 1:250,000. All rock types in the area between the central Wright Valley and the Mackay Glacier, from the Miller Glacier to west of the Victoria Valley were mapped at 1:50,000. The resulting St Johns map sheet will also incorporate previous studies. Field work aimed to establish the extent and intrusive relationships of the various granitoid plutons known to exist in the area and relate them to the area mapping in 1988/89 season to the south. The extent and nature of the small areas of Beacon sediments was also covered. Five major rock groups were mapped including Koettlitz Group metasediments and associated orthogneisses, granitoid plutons and related dikes, Beacon Supergroup sediments, Ferrar Group dolerites and surficial glacial and fluvioglacial deposits. proprietary
K122_2004_2005_NZ_4 Aerial photographs and ground counts for assessing breeding success of Adelie penguin (Pygoscelis adeliae) rookeries on Ross Island ALL STAC Catalog 1983-11-24 166.3, -77.53, 169.55, -77.2166 https://cmr.earthdata.nasa.gov/search/concepts/C1214590789-SCIOPS.umm_json In conjunction with aerial photographs of the colonies ground truth counts were made since the 1983-1984 season at the Ross Island colonies. The number of occupied nests, nests with eggs, nests with both adults present and total penguins at the colony were censused to be able to check for accuracy of the counts from aerial photographs and to assess the breeding status and condition of the birds for that year. Since 1990, ground counts of chicks at each rookey were conducted in late January to measure breeding success (number of chicks/breeding pair). Approximately 100 chicks were selected randomly at each site and they had their weight and flipper length measured to calculate a chick condition index which is comparable between years and between the rookeries. proprietary
+K122_2004_2005_NZ_4 Aerial photographs and ground counts for assessing breeding success of Adelie penguin (Pygoscelis adeliae) rookeries on Ross Island SCIOPS STAC Catalog 1983-11-24 166.3, -77.53, 169.55, -77.2166 https://cmr.earthdata.nasa.gov/search/concepts/C1214590789-SCIOPS.umm_json In conjunction with aerial photographs of the colonies ground truth counts were made since the 1983-1984 season at the Ross Island colonies. The number of occupied nests, nests with eggs, nests with both adults present and total penguins at the colony were censused to be able to check for accuracy of the counts from aerial photographs and to assess the breeding status and condition of the birds for that year. Since 1990, ground counts of chicks at each rookey were conducted in late January to measure breeding success (number of chicks/breeding pair). Approximately 100 chicks were selected randomly at each site and they had their weight and flipper length measured to calculate a chick condition index which is comparable between years and between the rookeries. proprietary
K138_1992_1993_NZ_1 A study of global (Very Low Frequency) VLF propagation with emphasis on the effects of stratospheric ionisation and glacial ice in Antarctica ALL STAC Catalog 1992-11-10 1992-12-05 165, -78, 175, -43 https://cmr.earthdata.nasa.gov/search/concepts/C1214593938-SCIOPS.umm_json The performance of GPS navigation equipment for possible future deployment on Antarctic resupply flights was investigated. In addition, using Hercules C-130 aircrafts fitted with GPS, VLF propagation studies in the Antarctic region and studies of antipodally propagating VLF signals during flights to Antarctica was investigated. VLF/GPS receivers were installed on the RNZAF resupply aircrafts and recordings were made on all available New Zealand flights to the Antarctic. proprietary
K138_1992_1993_NZ_1 A study of global (Very Low Frequency) VLF propagation with emphasis on the effects of stratospheric ionisation and glacial ice in Antarctica SCIOPS STAC Catalog 1992-11-10 1992-12-05 165, -78, 175, -43 https://cmr.earthdata.nasa.gov/search/concepts/C1214593938-SCIOPS.umm_json The performance of GPS navigation equipment for possible future deployment on Antarctic resupply flights was investigated. In addition, using Hercules C-130 aircrafts fitted with GPS, VLF propagation studies in the Antarctic region and studies of antipodally propagating VLF signals during flights to Antarctica was investigated. VLF/GPS receivers were installed on the RNZAF resupply aircrafts and recordings were made on all available New Zealand flights to the Antarctic. proprietary
K1VHR_L02_HEM KALPANA-1 VHRR Level-2B Precipitation Using Hydroestimator Technique ISRO STAC Catalog 2012-11-05 0.843296, -81.04153, 163.15671, 81.04153 https://cmr.earthdata.nasa.gov/search/concepts/C1214622559-ISRO.umm_json Kalpana-1 VHRR Level-2B Precipitation using Hydroestimator Technique in HDF-5 Format proprietary
@@ -8216,21 +8218,21 @@ K1VHR_L02_SGP KALPANA-1 VHRR Level-1C Sector Product ISRO STAC Catalog 2010-05-0
K1VHR_L02_SST KALPANA-1 VHRR Level-2B Sea Surface Temperature ISRO STAC Catalog 2008-06-01 0.843296, -81.04153, 163.15671, 81.04153 https://cmr.earthdata.nasa.gov/search/concepts/C1214622582-ISRO.umm_json Kalpana-1 VHRR Level-2B Sea Surface Temperature in HDF-5 Format proprietary
K1VHR_L02_UTH KALPANA-1 VHRR Level-2B Upper Tropospheric Humidity ISRO STAC Catalog 2008-06-01 0.843296, -81.04153, 163.15671, 81.04153 https://cmr.earthdata.nasa.gov/search/concepts/C1214622600-ISRO.umm_json KALPANA-1 VHRR Level-2B Upper Tropospheric Humidity (UTH) in HDF-5 Format proprietary
K1VHR_L1B_STD KALPANA-1 VHRR Level-1B Full Acquisition Standard Product ISRO STAC Catalog 2010-05-19 -6.0364, -78.8236, 152.6286, 78.6815 https://cmr.earthdata.nasa.gov/search/concepts/C1214622537-ISRO.umm_json KALPANA-1 VHRR Level-1B Standard Product containing 3 channels data in HDF-5 Format proprietary
-KADAI-OUKA-SAKURAJIMA-1992 Air Pollution caused by Eruption of Volcano Mt.Sakurajima SCIOPS STAC Catalog 1978-04-01 129, 31, 132, 33 https://cmr.earthdata.nasa.gov/search/concepts/C1214585910-SCIOPS.umm_json Precipitation, pH, SO4 and CL from rainfall were collected during one month. They were measured by the English standard deposit gauge at 10-odd points in Kagoshima City since 1987. Measurments were also taken in Kagoshima City and in the Sakurajima area from 1978 to 1986. SOx in the atmosphere (average value for one month) and NOx (24hr) were both measured by the SOx adsorption method (1978-1986). The NOx badge method has also been used since 1987. proprietary
KADAI-OUKA-SAKURAJIMA-1992 Air Pollution caused by Eruption of Volcano Mt.Sakurajima ALL STAC Catalog 1978-04-01 129, 31, 132, 33 https://cmr.earthdata.nasa.gov/search/concepts/C1214585910-SCIOPS.umm_json Precipitation, pH, SO4 and CL from rainfall were collected during one month. They were measured by the English standard deposit gauge at 10-odd points in Kagoshima City since 1987. Measurments were also taken in Kagoshima City and in the Sakurajima area from 1978 to 1986. SOx in the atmosphere (average value for one month) and NOx (24hr) were both measured by the SOx adsorption method (1978-1986). The NOx badge method has also been used since 1987. proprietary
+KADAI-OUKA-SAKURAJIMA-1992 Air Pollution caused by Eruption of Volcano Mt.Sakurajima SCIOPS STAC Catalog 1978-04-01 129, 31, 132, 33 https://cmr.earthdata.nasa.gov/search/concepts/C1214585910-SCIOPS.umm_json Precipitation, pH, SO4 and CL from rainfall were collected during one month. They were measured by the English standard deposit gauge at 10-odd points in Kagoshima City since 1987. Measurments were also taken in Kagoshima City and in the Sakurajima area from 1978 to 1986. SOx in the atmosphere (average value for one month) and NOx (24hr) were both measured by the SOx adsorption method (1978-1986). The NOx badge method has also been used since 1987. proprietary
KAIMIMOANA_0 Measurements taken onboard R/V Kaimimoana between 1999 and 2002 OB_DAAC STAC Catalog 1999-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360390-OB_DAAC.umm_json Measurements from the NOAA ship, the Kaimimoana between 1999 and 2002. proprietary
KFDBAM_ANU_1 Macquarie Island Baseline Invertebrate Survey 1994 AU_AADC STAC Catalog 1994-02-01 1994-03-15 158.76, -54.79, 158.965, -54.48 https://cmr.earthdata.nasa.gov/search/concepts/C1214313580-AU_AADC.umm_json Records from 69 sites, covering the whole island. Sites stratified by topography (2 classes: slopes or drainage lines), altitude (4 classes: 0-100 m, 100-200 m, 200-300 m, 300m+), vegetation type (5 types), aspect (2 classes: E,W), north-south position on island (3 classes: north, middle, south). Pitfall traps and yellow pan traps opened for 6 weeks (summer). Hand searches for worms, slugs and snails. Specimens identified to species level. We used the data to construct statistical models of the spatial distribution of species in relation to the above variables. Intended as a baseline survey to detect, monitor and predict effects of climate change and local human impacts (e.g. alien species introductions) on biota. This work was carried out as part of ASAC project 104 (ASAC_104). The fields in this dataset are: Site Topography Region Aspect Altitude Vegetation Type Method Notes Species The detergent column indicates whether a drop of detergent was added to the yellowpans or not. A 1 = yes. proprietary
KILVOLC_FlowerKahn2021_1 MISR Derived Case Study Data for Kilauea Volcanic Eruptions Including Geometric Plume Height and Qualitative Radiometric Particle Property Information LARC_ASDC STAC Catalog 2000-10-25 2018-08-01 -161, 14, -150, 25 https://cmr.earthdata.nasa.gov/search/concepts/C2134682585-LARC_ASDC.umm_json The KILVOLC_FlowerKahn2021_1 dataset is the MISR Derived Case Study Data for Kilauea Volcanic Eruptions Including Geometric Plume Height and Qualitative Radiometric Particle Property Information version 1 dataset. It comprises MISR-derived output from a comprehensive analysis of Kilauea volcanic eruptions (2000-2018). Data collection for this dataset is complete. The data presented here are analyzed and discussed in the following paper: Flower, V.J.B., and R.A. Kahn, 2021. Twenty years of NASA-EOS multi-sensor satellite observations at Kīlauea volcano (2000-2019). J. Volc. Geo. Res. (in press). The data is subdivided by date and MISR orbit number. Within each case folder, there are up to 11 files relating to an individual MISR overpass. Files include plume height records (from both the red and blue spectral bands) derived from the MISR INteractive eXplorer (MINX) program, displayed in: map view, downwind profile plot (along with the associated wind vectors retrieved at plume elevation), a histogram of retrieved plume heights and a text file containing the digital plume height values. An additional JPG is included delineating the plume analysis region, start point for assessing downwind distance, and input wind direction used to initialize the MINX retrieval. A final two files are generated from the MISR Research Aerosol (RA) retrieval algorithm (Limbacher, J.A., and R.A. Kahn, 2014. MISR Research-Aerosol-Algorithm: Refinements For Dark Water Retrievals. Atm. Meas. Tech. 7, 1-19, doi:10.5194/amt-7-1-2014). These files include the RA model output in HDF5, and an associated JPG of key derived variables (e.g. Aerosol Optical Depth, Angstrom Exponent, Single Scattering Albedo, Fraction of Non-Spherical components, model uncertainty classifications and example camera views). File numbers per folder vary depending on the retrieval conditions of specific observations. RA plume retrievals are limited when cloud cover was widespread or the solar radiance was insufficient to run the RA. In these cases the RA files are not included in the individual folders. In cases where activity was observed from multiple volcanic zones in a single overpass, individual folders containing data relating to a single region, are included, and defined by a qualifier (e.g. '_1'). proprietary
KOMPSAT-2 KOMPSAT-2 Panchromatic and multispectral imagery CEOS_EXTRA STAC Catalog 2006-07-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2229454502-CEOS_EXTRA.umm_json The KOMPSAT-2 allows the generation of high resolution images with a GSD of better than 1 m for PAN data and 4 m for MS data with nadir viewing condition at the nominal altitude of 685 km. The MSC has a single PAN spectral band between 500 - 900 nm and 4 MS spectral bands between 450-900 nm. PAN imaging and MS imaging can be operated simultaneously during mission operations. The swath width is greater than or equal to 15 km at the mission altitude for PAN data and MS data. The system is equipped with a solid state recorder to record images not less than 1,000km long at the end of life. The satellite can be rolled up to ±30 degrees off-nadir to pre-position the MSC swath. The KOMPSAT-2 can provide across-track stereo images by multiple passes of the satellite using off-nadir pointing capability. The satellite is compatible with daily revisit operation by off-nadir pointing with degraded GSD. Also, the image products according to the requested products quality standard can be made within one (1) day after satellite passes over the KGS. proprietary
KOMPSAT-2.ESA.archive_9.0 KOMPSAT-2 ESA archive ESA STAC Catalog 2007-04-18 2014-03-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336921-ESA.umm_json Kompsat-2 ESA archive collection is composed by bundle (Panchromatic and Multispectral separated images) products from the Multi-Spectral Camera (MSC) onboard KOMPSAT-2 acquired from 2007 to 2014: 1m resolution for PAN, 4m resolution for MS. Spectral Bands: • Pan: 500 - 900 nm (locate, identify and measure surface features and objects primarily by their physical appearance) • MS1 (blue): 450 - 520 nm (mapping shallow water, differentiating soil from vegetation) • MS2 (green): 520 - 600 nm (differentiating vegetation by health) • MS3 (red): 630 - 690 nm (differentiating vegetation by species) • MS4 (near-infrared): 760 - 900 nm (mapping vegetation, mapping vegetation vigor/health, Differentiating vegetation by species) proprietary
-KOPRI-KPDC-00000001_1 2007 Seismic Data, Antarctica ALL STAC Catalog 2007-12-08 2007-12-11 -63.593556, -62.777306, -61.092444, -61.466739 https://cmr.earthdata.nasa.gov/search/concepts/C2244294500-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in northern sea area of the South Shetland Islands. The research period was from 07 Dec. to 14 Dec. (7 days) in 2007. Geophysical research including acquisition of multi-channel seismic data was preceded. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 7 researcher in the cruise." proprietary
KOPRI-KPDC-00000001_1 2007 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2007-12-08 2007-12-11 -63.593556, -62.777306, -61.092444, -61.466739 https://cmr.earthdata.nasa.gov/search/concepts/C2244294500-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in northern sea area of the South Shetland Islands. The research period was from 07 Dec. to 14 Dec. (7 days) in 2007. Geophysical research including acquisition of multi-channel seismic data was preceded. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 7 researcher in the cruise." proprietary
+KOPRI-KPDC-00000001_1 2007 Seismic Data, Antarctica ALL STAC Catalog 2007-12-08 2007-12-11 -63.593556, -62.777306, -61.092444, -61.466739 https://cmr.earthdata.nasa.gov/search/concepts/C2244294500-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in northern sea area of the South Shetland Islands. The research period was from 07 Dec. to 14 Dec. (7 days) in 2007. Geophysical research including acquisition of multi-channel seismic data was preceded. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 7 researcher in the cruise." proprietary
KOPRI-KPDC-00000002_1 2004 Seismic Data, Antarctica ALL STAC Catalog 2004-11-29 2004-12-05 -51.372194, -61.652222, -47.042, -60.203167 https://cmr.earthdata.nasa.gov/search/concepts/C2244294814-AMD_KOPRI.umm_json "Korean Antarctic survey carried out the fifth year project as step 3 project in the last annual of ‘The Antarctic Undersea Geological Survey’ was conducted in the northern Fowell Basin of the Weddell Sea. The research period was from 25 Nov. to 9 Dec. (15 days) in 2004. Geophysical research including acquisition of multi-channel seismic data was preceded. According to the results of seismic investigation, the drilling investigation was conducted at the coring point. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 12 researcher in the cruise." proprietary
KOPRI-KPDC-00000002_1 2004 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2004-11-29 2004-12-05 -51.372194, -61.652222, -47.042, -60.203167 https://cmr.earthdata.nasa.gov/search/concepts/C2244294814-AMD_KOPRI.umm_json "Korean Antarctic survey carried out the fifth year project as step 3 project in the last annual of ‘The Antarctic Undersea Geological Survey’ was conducted in the northern Fowell Basin of the Weddell Sea. The research period was from 25 Nov. to 9 Dec. (15 days) in 2004. Geophysical research including acquisition of multi-channel seismic data was preceded. According to the results of seismic investigation, the drilling investigation was conducted at the coring point. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 12 researcher in the cruise." proprietary
-KOPRI-KPDC-00000003_1 2003 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2003-12-14 2003-12-17 -49.883889, -61.230056, -46.487694, -59.500833 https://cmr.earthdata.nasa.gov/search/concepts/C2244294883-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 4 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin (IV region) of the northern Weddell Sea, Antarctica. Because Korea doesn't have an icebreaker for Antarctic research, during the Antarctic site survey period, research ships are secured and conducted through a chartering. The available chartering are limited. It's because the duration of the chartering is concentrated in the summer season like any other country. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) used on lease by NOAA in the United States as in other years. It was used from November to December, just before the NOAA use period. The research period was from 24 Nov. to 9 Dec. (8 days) in 2003. After geophysical research including acquisition of multichannel seismic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. 12 researchers from KOPRI, Seoul University etc. participated in the cruise as field investigation personnel." proprietary
KOPRI-KPDC-00000003_1 2003 Seismic Data, Antarctica ALL STAC Catalog 2003-12-14 2003-12-17 -49.883889, -61.230056, -46.487694, -59.500833 https://cmr.earthdata.nasa.gov/search/concepts/C2244294883-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 4 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin (IV region) of the northern Weddell Sea, Antarctica. Because Korea doesn't have an icebreaker for Antarctic research, during the Antarctic site survey period, research ships are secured and conducted through a chartering. The available chartering are limited. It's because the duration of the chartering is concentrated in the summer season like any other country. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) used on lease by NOAA in the United States as in other years. It was used from November to December, just before the NOAA use period. The research period was from 24 Nov. to 9 Dec. (8 days) in 2003. After geophysical research including acquisition of multichannel seismic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. 12 researchers from KOPRI, Seoul University etc. participated in the cruise as field investigation personnel." proprietary
-KOPRI-KPDC-00000004_1 2002 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2002-12-18 2002-12-21 -50.500417, -60.016, -47.001556, -59.247 https://cmr.earthdata.nasa.gov/search/concepts/C2244294924-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 3 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin(Ⅲ) of the northern Weddell Sea, Antarctica. The research period was from 16 Dec. to 23 Dec. (8 days) in 2002. After geophysical research including acquisition of multi-channel seismic data as well as geomagnatic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 7 researchers from ‘Korea Ocean Research and Development Institute’ participated in the cruise." proprietary
+KOPRI-KPDC-00000003_1 2003 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2003-12-14 2003-12-17 -49.883889, -61.230056, -46.487694, -59.500833 https://cmr.earthdata.nasa.gov/search/concepts/C2244294883-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 4 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin (IV region) of the northern Weddell Sea, Antarctica. Because Korea doesn't have an icebreaker for Antarctic research, during the Antarctic site survey period, research ships are secured and conducted through a chartering. The available chartering are limited. It's because the duration of the chartering is concentrated in the summer season like any other country. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) used on lease by NOAA in the United States as in other years. It was used from November to December, just before the NOAA use period. The research period was from 24 Nov. to 9 Dec. (8 days) in 2003. After geophysical research including acquisition of multichannel seismic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. 12 researchers from KOPRI, Seoul University etc. participated in the cruise as field investigation personnel." proprietary
KOPRI-KPDC-00000004_1 2002 Seismic Data, Antarctica ALL STAC Catalog 2002-12-18 2002-12-21 -50.500417, -60.016, -47.001556, -59.247 https://cmr.earthdata.nasa.gov/search/concepts/C2244294924-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 3 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin(Ⅲ) of the northern Weddell Sea, Antarctica. The research period was from 16 Dec. to 23 Dec. (8 days) in 2002. After geophysical research including acquisition of multi-channel seismic data as well as geomagnatic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 7 researchers from ‘Korea Ocean Research and Development Institute’ participated in the cruise." proprietary
+KOPRI-KPDC-00000004_1 2002 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2002-12-18 2002-12-21 -50.500417, -60.016, -47.001556, -59.247 https://cmr.earthdata.nasa.gov/search/concepts/C2244294924-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 3 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin(Ⅲ) of the northern Weddell Sea, Antarctica. The research period was from 16 Dec. to 23 Dec. (8 days) in 2002. After geophysical research including acquisition of multi-channel seismic data as well as geomagnatic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 7 researchers from ‘Korea Ocean Research and Development Institute’ participated in the cruise." proprietary
KOPRI-KPDC-00000005_1 2001 Seismic Data, Antarctica ALL STAC Catalog 2001-12-15 2001-12-19 -52.37845, -62.5604, -49.249567, -59.814483 https://cmr.earthdata.nasa.gov/search/concepts/C2244294933-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 2 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin of the northern Weddell Sea, Antarctica. The research period was from 15 Dec. to 21 Dec. (7 days) in 2001. After geophysical research including acquisition of multichannel seismic data as well as geomagnatic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. 10 researchers from ‘Korea Ocean Research and Development Institute’ and an out-of-the-way researcher participated in the cruise. We took on lease Russian ""Yuzhmorgeologiya""." proprietary
KOPRI-KPDC-00000005_1 2001 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2001-12-15 2001-12-19 -52.37845, -62.5604, -49.249567, -59.814483 https://cmr.earthdata.nasa.gov/search/concepts/C2244294933-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 2 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin of the northern Weddell Sea, Antarctica. The research period was from 15 Dec. to 21 Dec. (7 days) in 2001. After geophysical research including acquisition of multichannel seismic data as well as geomagnatic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. 10 researchers from ‘Korea Ocean Research and Development Institute’ and an out-of-the-way researcher participated in the cruise. We took on lease Russian ""Yuzhmorgeologiya""." proprietary
KOPRI-KPDC-00000006_1 Rock samples of Prince Albert Mountains, Antarctica, 2011-12 season AMD_KOPRI STAC Catalog 2012-01-03 2012-01-13 158.1, -75.833, 159.3, -75.733 https://cmr.earthdata.nasa.gov/search/concepts/C2244294985-AMD_KOPRI.umm_json This entry is for the rock samples of Prince Albert Mountains, Antarctica collected in 2011-12 austral summer season. The collection includes volcanic rocks (basalt, dolerite, hyaloclasite, and tuff) from Ferrar Supergroup and sedimentary rocks (sandstone, siltstone) from Ferrar Supergroup and Beacon Supergroup. A few plant fossil fragments and fragmentd of coals, most likely from the Beacon Supergroup, are also listed in this entry. The samples were collected in order to understand the lithologic characters of basement rocks underneath the David Glacier. Information on the stratigraphy of the volcanics and sedimentary succession will be helpful for understanding geological processes and paleoenvironments of the Victoria Land. proprietary
@@ -8238,18 +8240,18 @@ KOPRI-KPDC-00000007_1 2000 Seismic Data, Antarctica ALL STAC Catalog 2000-12-04
KOPRI-KPDC-00000007_1 2000 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2000-12-04 2000-12-08 -52.378444, -62.5604, -49.249567, -59.814639 https://cmr.earthdata.nasa.gov/search/concepts/C2244292500-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 1 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin of the northern Weddell Sea, Antarctica. The research period was from 3 Dec. to 11 Dec. (9 days) in 2000. After geophysical research including acquisition of seismic data, submarine topography, geomagnatic data was conducted in coring point was decided from combined geophysical data. We took on lease Russian icebreaker ""Yuzhmorgeologiya"" and 13 researcher from ‘Korea Ocean Research and Development Institute’ including a field winter researcher in the cruise. Due to a lot of icebergs and floating ice in the area, the originally planned survey of the side lines is impossible. A survey was conducted on the modified side lines." proprietary
KOPRI-KPDC-00000008_1 1998 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1998-12-07 1998-12-11 -66.266667, -64.616667, -64.416667, -62.995 https://cmr.earthdata.nasa.gov/search/concepts/C2244292774-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 2 project in year 2 of 'the Antarctic Undersea Geological Survey' was conducted in the Ⅱ region around the northwestern continent of the Antarctic Peninsula. This area is northwest of Anvers Island, including areas around the pericontinent from the continental shelf to the continental rise zone. The investigation period for this project took a total of 8 days for moving navigation, the survey of the side lines and drilling investigation. After seismic investigation, a surface drilling investigation was conducted in coring point was decided from the reference seismic section. 10 researcher from ‘Korea Ocean Research and Development Institute’ participated in the field survey. We took on lease Russian icebreaker ""Yuzhmorgeologiya""." proprietary
KOPRI-KPDC-00000008_1 1998 Seismic Data, Antarctica ALL STAC Catalog 1998-12-07 1998-12-11 -66.266667, -64.616667, -64.416667, -62.995 https://cmr.earthdata.nasa.gov/search/concepts/C2244292774-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 2 project in year 2 of 'the Antarctic Undersea Geological Survey' was conducted in the Ⅱ region around the northwestern continent of the Antarctic Peninsula. This area is northwest of Anvers Island, including areas around the pericontinent from the continental shelf to the continental rise zone. The investigation period for this project took a total of 8 days for moving navigation, the survey of the side lines and drilling investigation. After seismic investigation, a surface drilling investigation was conducted in coring point was decided from the reference seismic section. 10 researcher from ‘Korea Ocean Research and Development Institute’ participated in the field survey. We took on lease Russian icebreaker ""Yuzhmorgeologiya""." proprietary
-KOPRI-KPDC-00000009_1 1997 Seismic Data, Antarctica ALL STAC Catalog 1997-12-23 1997-12-28 -64.699722, -63.525, -62.157778, -62.041389 https://cmr.earthdata.nasa.gov/search/concepts/C2244293126-AMD_KOPRI.umm_json Korean Antarctic survey carried out as part of step 2 project in year 1 of ‘The Antarctic Undersea Geological Survey’ in 1997 was conducted in a continental shelf in the northwestern part of the Antarctic Peninsula. The research period took a total of 8 days, including 6 days for the seismic survey and 2 days for the drilling investigation. We took on lease Norway R/V 'Polar Duke' and 10 researchers from ‘Korea Ocean Research and Development Institute’ participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12 –channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling. proprietary
KOPRI-KPDC-00000009_1 1997 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1997-12-23 1997-12-28 -64.699722, -63.525, -62.157778, -62.041389 https://cmr.earthdata.nasa.gov/search/concepts/C2244293126-AMD_KOPRI.umm_json Korean Antarctic survey carried out as part of step 2 project in year 1 of ‘The Antarctic Undersea Geological Survey’ in 1997 was conducted in a continental shelf in the northwestern part of the Antarctic Peninsula. The research period took a total of 8 days, including 6 days for the seismic survey and 2 days for the drilling investigation. We took on lease Norway R/V 'Polar Duke' and 10 researchers from ‘Korea Ocean Research and Development Institute’ participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12 –channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling. proprietary
+KOPRI-KPDC-00000009_1 1997 Seismic Data, Antarctica ALL STAC Catalog 1997-12-23 1997-12-28 -64.699722, -63.525, -62.157778, -62.041389 https://cmr.earthdata.nasa.gov/search/concepts/C2244293126-AMD_KOPRI.umm_json Korean Antarctic survey carried out as part of step 2 project in year 1 of ‘The Antarctic Undersea Geological Survey’ in 1997 was conducted in a continental shelf in the northwestern part of the Antarctic Peninsula. The research period took a total of 8 days, including 6 days for the seismic survey and 2 days for the drilling investigation. We took on lease Norway R/V 'Polar Duke' and 10 researchers from ‘Korea Ocean Research and Development Institute’ participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12 –channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling. proprietary
KOPRI-KPDC-00000010_1 CTD Data surrounding Chukchi Borderland and Mendeleev Ridge of Arctic in 2011 AMD_KOPRI STAC Catalog 2011-08-02 2011-08-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295142-AMD_KOPRI.umm_json An intensive oceanographic survey was conducted during 21 days from 2011 July 31 to August 20 by IBRV ARAON to measure the spatial and temporal variation of water masses in the Chukchi Borderland/Mendeleev Ridge. The profiles of temperature, salinity and depth were obtained using CTD/Rosette system at 18 stations. To investigate the variability in spatial and temporal distribution of water masses and and understand its transformation along the pathways and relationship with sea ice melting in the Chukchi Borderland/Mendeleev Ridge. proprietary
KOPRI-KPDC-00000011_1 1996 Seismic Data, Antarctica ALL STAC Catalog 1996-12-17 1996-12-26 -62.766667, -63.583333, -60.233333, -62.733333 https://cmr.earthdata.nasa.gov/search/concepts/C2244293499-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as in year 3 project of 'the Antarctic Undersea Geological Survey' was conducted in the basin region of western part of the Bransfeed Strait between the Antarctic Peninsula and the South Shetland Islands . During the field investigation, the seismic investigation and the drilling investigation was conducted at the same time. The investigation period took 9 days. 10 researchers from ‘Korea Ocean Research and Development Institute’ and 3 academic personnel participated in the cruise as field investigation personnel. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker." proprietary
KOPRI-KPDC-00000011_1 1996 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1996-12-17 1996-12-26 -62.766667, -63.583333, -60.233333, -62.733333 https://cmr.earthdata.nasa.gov/search/concepts/C2244293499-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as in year 3 project of 'the Antarctic Undersea Geological Survey' was conducted in the basin region of western part of the Bransfeed Strait between the Antarctic Peninsula and the South Shetland Islands . During the field investigation, the seismic investigation and the drilling investigation was conducted at the same time. The investigation period took 9 days. 10 researchers from ‘Korea Ocean Research and Development Institute’ and 3 academic personnel participated in the cruise as field investigation personnel. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker." proprietary
KOPRI-KPDC-00000012_1 1995 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1995-12-13 1995-12-18 -58.335, -62.984444, -54.101944, -61.301111 https://cmr.earthdata.nasa.gov/search/concepts/C2244291641-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as in year 2 project of ""Antarctic submarine topography and sediment investigation"", The Field Survey of Antarctica was conducted at the end of 1995 was conducted the multi-channel Seismic Investigation and the drilling Investigation in the eastern part of the Bransfield Strait between the Antarctic Peninsula and the South Shetland Islands and near Sejong Station. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker for field investigation." proprietary
KOPRI-KPDC-00000012_1 1995 Seismic Data, Antarctica ALL STAC Catalog 1995-12-13 1995-12-18 -58.335, -62.984444, -54.101944, -61.301111 https://cmr.earthdata.nasa.gov/search/concepts/C2244291641-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as in year 2 project of ""Antarctic submarine topography and sediment investigation"", The Field Survey of Antarctica was conducted at the end of 1995 was conducted the multi-channel Seismic Investigation and the drilling Investigation in the eastern part of the Bransfield Strait between the Antarctic Peninsula and the South Shetland Islands and near Sejong Station. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker for field investigation." proprietary
KOPRI-KPDC-00000013_1 Trace elements in Vostok Antarctic Ice AMD_KOPRI STAC Catalog 2011-08-26 2011-08-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291453-AMD_KOPRI.umm_json Lead (Pb), cadmium (Cd), copper (Cu) and zinc (Zn) have been measured by electrothermal atomic absorption spectrometry in various sections of the 3623m deep ice core drilled at Vostok, in central East Antarctica. The sections were dated from 240 to 410 kyear BP (Marine Isotopic Stages (MIS) 7.5 to 11.3), which corresponds to the 3rd and 4th glacial interglacial cycles before present. Concentrations are found to have varied greatly during this 170 kyear time period, with high concentration values during the coldest climatic stages such as MIS 8.4 and 10.2 and much lower concentration values during warmer periods, such as the interglacials MIS 7.5, 9.3 and 11.3. Rock and soil dust were the dominant sources for Pb, whatever the period, and for Zn and Cu and possibly Cd during cold climatic stages. The contribution from volcanic emissions was important for Cd during all periods and might have beensignificant for Cu and Zn during warm periods. proprietary
-KOPRI-KPDC-00000014_1 1994 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1994-12-19 1994-12-27 -59.352778, -63.060278, -56.167778, -62.030833 https://cmr.earthdata.nasa.gov/search/concepts/C2244291414-AMD_KOPRI.umm_json Korean Antarctic survey carried out as in year 1 of 'the Antarctic Undersea Geological Survey' was conducted at the end of 1994 was conducted Multi-channel Seismic Investgation and Drilling investigation in the central basin of the Bransfield Strait was located in between the Antarctic Peninsula and the South Shetland Islands and the Maxwell Bay area near Sejong Station. The field research was conducted wih other research at the same time. The research period was from 11 Dec. in 1994 to 23 Jan. in 1995 (13 days). - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region. proprietary
KOPRI-KPDC-00000014_1 1994 Seismic Data, Antarctica ALL STAC Catalog 1994-12-19 1994-12-27 -59.352778, -63.060278, -56.167778, -62.030833 https://cmr.earthdata.nasa.gov/search/concepts/C2244291414-AMD_KOPRI.umm_json Korean Antarctic survey carried out as in year 1 of 'the Antarctic Undersea Geological Survey' was conducted at the end of 1994 was conducted Multi-channel Seismic Investgation and Drilling investigation in the central basin of the Bransfield Strait was located in between the Antarctic Peninsula and the South Shetland Islands and the Maxwell Bay area near Sejong Station. The field research was conducted wih other research at the same time. The research period was from 11 Dec. in 1994 to 23 Jan. in 1995 (13 days). - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region. proprietary
-KOPRI-KPDC-00000015_1 1999 Seismic Data, Antarctica ALL STAC Catalog 1999-12-29 2000-01-01 -69.238889, -65.787222, -66.314722, -63.994444 https://cmr.earthdata.nasa.gov/search/concepts/C2244293812-AMD_KOPRI.umm_json Korean Antarctic survey carried out as part of step 2 project in year 3 of 'The Antarctic Undersea Geological Survey' in 1999 was conducted in the periphery of the continent near Anvers Island in the northwestern part of the Antarctic Peninsula. The research period was from 27 Dec. in 1999 to 3 Jan. in 2000 (8 days). After a geophysical survey was conducted to obtain data such as seismic, submarine topography, gravity, terrestrial magnetism, drilling investigation was conducted in the coring point was decided from combined geophysics data. 13 researchers from ‘Korea Ocean Research and Development Institute’ and an out-of-the-way researcher participated for field investigation members. We used a 'Onnuri', of 'the Korea Ocean Research Institute' to be used for Antarctic research since 1993. proprietary
+KOPRI-KPDC-00000014_1 1994 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1994-12-19 1994-12-27 -59.352778, -63.060278, -56.167778, -62.030833 https://cmr.earthdata.nasa.gov/search/concepts/C2244291414-AMD_KOPRI.umm_json Korean Antarctic survey carried out as in year 1 of 'the Antarctic Undersea Geological Survey' was conducted at the end of 1994 was conducted Multi-channel Seismic Investgation and Drilling investigation in the central basin of the Bransfield Strait was located in between the Antarctic Peninsula and the South Shetland Islands and the Maxwell Bay area near Sejong Station. The field research was conducted wih other research at the same time. The research period was from 11 Dec. in 1994 to 23 Jan. in 1995 (13 days). - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region. proprietary
KOPRI-KPDC-00000015_1 1999 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1999-12-29 2000-01-01 -69.238889, -65.787222, -66.314722, -63.994444 https://cmr.earthdata.nasa.gov/search/concepts/C2244293812-AMD_KOPRI.umm_json Korean Antarctic survey carried out as part of step 2 project in year 3 of 'The Antarctic Undersea Geological Survey' in 1999 was conducted in the periphery of the continent near Anvers Island in the northwestern part of the Antarctic Peninsula. The research period was from 27 Dec. in 1999 to 3 Jan. in 2000 (8 days). After a geophysical survey was conducted to obtain data such as seismic, submarine topography, gravity, terrestrial magnetism, drilling investigation was conducted in the coring point was decided from combined geophysics data. 13 researchers from ‘Korea Ocean Research and Development Institute’ and an out-of-the-way researcher participated for field investigation members. We used a 'Onnuri', of 'the Korea Ocean Research Institute' to be used for Antarctic research since 1993. proprietary
+KOPRI-KPDC-00000015_1 1999 Seismic Data, Antarctica ALL STAC Catalog 1999-12-29 2000-01-01 -69.238889, -65.787222, -66.314722, -63.994444 https://cmr.earthdata.nasa.gov/search/concepts/C2244293812-AMD_KOPRI.umm_json Korean Antarctic survey carried out as part of step 2 project in year 3 of 'The Antarctic Undersea Geological Survey' in 1999 was conducted in the periphery of the continent near Anvers Island in the northwestern part of the Antarctic Peninsula. The research period was from 27 Dec. in 1999 to 3 Jan. in 2000 (8 days). After a geophysical survey was conducted to obtain data such as seismic, submarine topography, gravity, terrestrial magnetism, drilling investigation was conducted in the coring point was decided from combined geophysics data. 13 researchers from ‘Korea Ocean Research and Development Institute’ and an out-of-the-way researcher participated for field investigation members. We used a 'Onnuri', of 'the Korea Ocean Research Institute' to be used for Antarctic research since 1993. proprietary
KOPRI-KPDC-00000016_1 CTD measurements from Antarctic Peninsula region (KARP 1996-2006) AMD_KOPRI STAC Catalog 2011-12-08 2011-12-08 -66, -69, -44, -59 https://cmr.earthdata.nasa.gov/search/concepts/C2244292241-AMD_KOPRI.umm_json This dataset includes CTD measurements of open water and fjords of Antarctic Peninsula during the KARP (Korea Antarctic Research Program) cruise from 1998 to 2006. Data obtained are water temperature, salinity, density, dissolved oxygen concentration, turbidity, chlorophyl a, and current velocity. For fjord surveys, tide gauge was moored over the year with temperature and conductivity sensors. proprietary
KOPRI-KPDC-00000017_1 Sedimentological and geochemical analyses of gravity cores from Antarctic Peninsula region (KARP 1996-2006) AMD_KOPRI STAC Catalog 2011-08-26 2011-08-26 -66, -69, -44, -59 https://cmr.earthdata.nasa.gov/search/concepts/C2244291498-AMD_KOPRI.umm_json This dataset includes sedimentological and geochemical analyses of more than 80 gravity cores retrieved from Antarctic Peninsula region during the KARP (Korea Antarctic Research Program) cruise from 1996 to 2006. The cores are generally shorter than 10 m and represent late Pleistocene and Holocene sedimentation. The following data were obtained for all cores: magnetic susceptibility, X-radiographs, granulometry, total carbon and nitrogen content, and total organic and inorganic carbon content. Chronology of the cores were determined by AMS radiocarbon dating method. For selected cores, diatom assemblage, trace and rare earth element concentration, stable and radiogenic isotope compositions were analyzed. proprietary
KOPRI-KPDC-00000018_1 Lichen samples from Terra Nova Bay collected in 2010 AMD_KOPRI STAC Catalog 2010-02-07 2010-02-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295200-AMD_KOPRI.umm_json Lichen samples from Terra Nova Bay collected in 2010. Locality, habitat information for 31 lichen samples proprietary
@@ -8281,42 +8283,42 @@ KOPRI-KPDC-00000043_1 2000 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2000
KOPRI-KPDC-00000043_1 2000 Sediment Core, Antarctica ALL STAC Catalog 2000-12-08 2000-12-10 -68.527222, -65.264722, -66.956111, -64.021389 https://cmr.earthdata.nasa.gov/search/concepts/C2244294957-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern Powell Basin of the Weddell Sea. The research period was from 3 Nov. to 11 Dec. (9 days) in 2000. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including the acquisition of multichannel seismic, bathymetry, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000044_1 2001 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2001-12-19 2001-12-21 -58.026667, -61.925556, -52.468056, -60.802778 https://cmr.earthdata.nasa.gov/search/concepts/C2244294981-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern Powell Basin of the Weddell Sea. The research period was from 15 Dec. to 21 Dec. (7 days) in 2001. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 11 researchers participated in the cruise, including acquisition of multichannel seismic and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000044_1 2001 Sediment Core, Antarctica ALL STAC Catalog 2001-12-19 2001-12-21 -58.026667, -61.925556, -52.468056, -60.802778 https://cmr.earthdata.nasa.gov/search/concepts/C2244294981-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern Powell Basin of the Weddell Sea. The research period was from 15 Dec. to 21 Dec. (7 days) in 2001. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 11 researchers participated in the cruise, including acquisition of multichannel seismic and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
-KOPRI-KPDC-00000045_1 2002 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2002-12-21 2002-12-22 -51.625833, -62.175, -49.593889, -60.658889 https://cmr.earthdata.nasa.gov/search/concepts/C2244294992-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the Powell Basin (III region) of the northern Weddell Sea. The research period was from 16 Dec. to 23 Dec. (8 days) in 2002. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 7 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000045_1 2002 Sediment Core, Antarctica ALL STAC Catalog 2002-12-21 2002-12-22 -51.625833, -62.175, -49.593889, -60.658889 https://cmr.earthdata.nasa.gov/search/concepts/C2244294992-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the Powell Basin (III region) of the northern Weddell Sea. The research period was from 16 Dec. to 23 Dec. (8 days) in 2002. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 7 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
+KOPRI-KPDC-00000045_1 2002 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2002-12-21 2002-12-22 -51.625833, -62.175, -49.593889, -60.658889 https://cmr.earthdata.nasa.gov/search/concepts/C2244294992-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the Powell Basin (III region) of the northern Weddell Sea. The research period was from 16 Dec. to 23 Dec. (8 days) in 2002. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 7 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000046_1 2003 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2003-12-18 2003-12-19 -49.607778, -59.492778, -49.607778, -59.492778 https://cmr.earthdata.nasa.gov/search/concepts/C2244295005-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the Powell Basin (IV region) of the northern Weddell Sea. The research period was from 24 Nov. to 9 Dec. (15 days) in 2003. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000046_1 2003 Sediment Core, Antarctica ALL STAC Catalog 2003-12-18 2003-12-19 -49.607778, -59.492778, -49.607778, -59.492778 https://cmr.earthdata.nasa.gov/search/concepts/C2244295005-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the Powell Basin (IV region) of the northern Weddell Sea. The research period was from 24 Nov. to 9 Dec. (15 days) in 2003. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
-KOPRI-KPDC-00000047_1 2004 Sediment Core, Antarctica ALL STAC Catalog 2004-12-05 2004-12-09 -48.54277, -61.06452, -48.49785, -60.14862 https://cmr.earthdata.nasa.gov/search/concepts/C2244295024-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the Powell Basin (V region) of the northern Weddell Sea. The research period was from 25 Nov. to 9 Dec. (15 days) in 2004. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000047_1 2004 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2004-12-05 2004-12-09 -48.54277, -61.06452, -48.49785, -60.14862 https://cmr.earthdata.nasa.gov/search/concepts/C2244295024-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the Powell Basin (V region) of the northern Weddell Sea. The research period was from 25 Nov. to 9 Dec. (15 days) in 2004. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
-KOPRI-KPDC-00000048_1 2008 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2007-12-12 2007-12-13 -61.562506, -62.184162, -60.575444, -61.589153 https://cmr.earthdata.nasa.gov/search/concepts/C2244295159-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern region off South Shetland Islands. The research period was from 7 Dec. in 2008 to Jan. in 2009. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 7 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
+KOPRI-KPDC-00000047_1 2004 Sediment Core, Antarctica ALL STAC Catalog 2004-12-05 2004-12-09 -48.54277, -61.06452, -48.49785, -60.14862 https://cmr.earthdata.nasa.gov/search/concepts/C2244295024-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the Powell Basin (V region) of the northern Weddell Sea. The research period was from 25 Nov. to 9 Dec. (15 days) in 2004. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000048_1 2008 Sediment Core, Antarctica ALL STAC Catalog 2007-12-12 2007-12-13 -61.562506, -62.184162, -60.575444, -61.589153 https://cmr.earthdata.nasa.gov/search/concepts/C2244295159-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern region off South Shetland Islands. The research period was from 7 Dec. in 2008 to Jan. in 2009. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 7 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
+KOPRI-KPDC-00000048_1 2008 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2007-12-12 2007-12-13 -61.562506, -62.184162, -60.575444, -61.589153 https://cmr.earthdata.nasa.gov/search/concepts/C2244295159-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern region off South Shetland Islands. The research period was from 7 Dec. in 2008 to Jan. in 2009. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 7 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000049_1 2005 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2005-12-22 2005-12-26 -58.878333, -61.634139, -56.167083, -60.433083 https://cmr.earthdata.nasa.gov/search/concepts/C2244291450-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in northern sea area of the south Shetland Islands. The research period was from 16 Dec. to 30 Dec. (15 days) in 2005. Geophysical research including acquisition of multi-channel seismic data was preceded. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 12 researcher." proprietary
KOPRI-KPDC-00000049_1 2005 Seismic Data, Antarctica ALL STAC Catalog 2005-12-22 2005-12-26 -58.878333, -61.634139, -56.167083, -60.433083 https://cmr.earthdata.nasa.gov/search/concepts/C2244291450-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in northern sea area of the south Shetland Islands. The research period was from 16 Dec. to 30 Dec. (15 days) in 2005. Geophysical research including acquisition of multi-channel seismic data was preceded. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 12 researcher." proprietary
-KOPRI-KPDC-00000050_1 2006 Seismic Data, Antarctica ALL STAC Catalog 2006-12-06 2006-12-10 -61.33825, -62.045389, -58.481333, -60.755389 https://cmr.earthdata.nasa.gov/search/concepts/C2244291500-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in northern sea area of the South Shetland Islands. The research period was from 05 Dec. to 12 Dec. (8 days) in 2006. Geophysical research including acquisition of multi-channel seismic data was preceded. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 12 researcher." proprietary
KOPRI-KPDC-00000050_1 2006 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2006-12-06 2006-12-10 -61.33825, -62.045389, -58.481333, -60.755389 https://cmr.earthdata.nasa.gov/search/concepts/C2244291500-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in northern sea area of the South Shetland Islands. The research period was from 05 Dec. to 12 Dec. (8 days) in 2006. Geophysical research including acquisition of multi-channel seismic data was preceded. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 12 researcher." proprietary
-KOPRI-KPDC-00000051_1 1994 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1994-12-31 1995-01-02 -58.026667, -62.42, -57.739722, -62.32 https://cmr.earthdata.nasa.gov/search/concepts/C2244291543-AMD_KOPRI.umm_json "For the first year of study ""The Antarctic Undersea Geological Survey"", The Field Survey of Antarctica was conducted at the end of 1994 was conducted multi-channel seismic Investigation and drilling Investigation in the central basin of the Bransfield Strait was located in between the south Shetland Islands and the Antarctic peninsula and Maxwell bay area near Sejong Station. The field investigation was conducted research projects at the same time took 13 days from 11 Dec. in 1994 to 23 Jan. in 1995. - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region." proprietary
+KOPRI-KPDC-00000050_1 2006 Seismic Data, Antarctica ALL STAC Catalog 2006-12-06 2006-12-10 -61.33825, -62.045389, -58.481333, -60.755389 https://cmr.earthdata.nasa.gov/search/concepts/C2244291500-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in northern sea area of the South Shetland Islands. The research period was from 05 Dec. to 12 Dec. (8 days) in 2006. Geophysical research including acquisition of multi-channel seismic data was preceded. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 12 researcher." proprietary
KOPRI-KPDC-00000051_1 1994 Sediment Core, Antarctica ALL STAC Catalog 1994-12-31 1995-01-02 -58.026667, -62.42, -57.739722, -62.32 https://cmr.earthdata.nasa.gov/search/concepts/C2244291543-AMD_KOPRI.umm_json "For the first year of study ""The Antarctic Undersea Geological Survey"", The Field Survey of Antarctica was conducted at the end of 1994 was conducted multi-channel seismic Investigation and drilling Investigation in the central basin of the Bransfield Strait was located in between the south Shetland Islands and the Antarctic peninsula and Maxwell bay area near Sejong Station. The field investigation was conducted research projects at the same time took 13 days from 11 Dec. in 1994 to 23 Jan. in 1995. - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region." proprietary
-KOPRI-KPDC-00000052_1 1995 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1995-12-19 1995-12-23 -55.951111, -61.969167, -55.051111, -61.951111 https://cmr.earthdata.nasa.gov/search/concepts/C2244291581-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the east basin of the Bransfield Strait between the Antarctic peninsula and south Shetland Islands and Maxwell Bay located at Sejong Station was conducted multi-channel seismic investigation and drilling investigation. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) which is marine geology, geophysical survey vessel and Icebreaker for field investigation." proprietary
+KOPRI-KPDC-00000051_1 1994 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1994-12-31 1995-01-02 -58.026667, -62.42, -57.739722, -62.32 https://cmr.earthdata.nasa.gov/search/concepts/C2244291543-AMD_KOPRI.umm_json "For the first year of study ""The Antarctic Undersea Geological Survey"", The Field Survey of Antarctica was conducted at the end of 1994 was conducted multi-channel seismic Investigation and drilling Investigation in the central basin of the Bransfield Strait was located in between the south Shetland Islands and the Antarctic peninsula and Maxwell bay area near Sejong Station. The field investigation was conducted research projects at the same time took 13 days from 11 Dec. in 1994 to 23 Jan. in 1995. - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region." proprietary
KOPRI-KPDC-00000052_1 1995 Sediment Core, Antarctica ALL STAC Catalog 1995-12-19 1995-12-23 -55.951111, -61.969167, -55.051111, -61.951111 https://cmr.earthdata.nasa.gov/search/concepts/C2244291581-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the east basin of the Bransfield Strait between the Antarctic peninsula and south Shetland Islands and Maxwell Bay located at Sejong Station was conducted multi-channel seismic investigation and drilling investigation. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) which is marine geology, geophysical survey vessel and Icebreaker for field investigation." proprietary
+KOPRI-KPDC-00000052_1 1995 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1995-12-19 1995-12-23 -55.951111, -61.969167, -55.051111, -61.951111 https://cmr.earthdata.nasa.gov/search/concepts/C2244291581-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the east basin of the Bransfield Strait between the Antarctic peninsula and south Shetland Islands and Maxwell Bay located at Sejong Station was conducted multi-channel seismic investigation and drilling investigation. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) which is marine geology, geophysical survey vessel and Icebreaker for field investigation." proprietary
KOPRI-KPDC-00000053_1 1996 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1996-12-16 1996-12-16 -60.151944, -62.100278, -59.717778, -62.051389 https://cmr.earthdata.nasa.gov/search/concepts/C2244291950-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in west of the Bransfeed Strait, a basin between the Antarctic Peninsula and the south Shetland Islands. It tooks 9 days. seismic investigation and drilling investigation were conducted at the same time during the field survey. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker and 10 researchers from ‘Korea Ocean Research and Development Institute’ and 3 academic personnel participated in the cruise as field investigation personnel." proprietary
KOPRI-KPDC-00000053_1 1996 Sediment Core, Antarctica ALL STAC Catalog 1996-12-16 1996-12-16 -60.151944, -62.100278, -59.717778, -62.051389 https://cmr.earthdata.nasa.gov/search/concepts/C2244291950-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in west of the Bransfeed Strait, a basin between the Antarctic Peninsula and the south Shetland Islands. It tooks 9 days. seismic investigation and drilling investigation were conducted at the same time during the field survey. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker and 10 researchers from ‘Korea Ocean Research and Development Institute’ and 3 academic personnel participated in the cruise as field investigation personnel." proprietary
-KOPRI-KPDC-00000054_1 1997 Sediment Core, Antarctica ALL STAC Catalog 1997-12-28 1997-12-29 -63.396667, -63.886111, -62.700833, -62.536389 https://cmr.earthdata.nasa.gov/search/concepts/C2244292254-AMD_KOPRI.umm_json Korean Antarctic survey was conducted in 1997 carried out in a continental shelf in the northwestern part of the Antarctic Peninsula. It took 2 days. We took on lease Norway R/V 'Polar Duke' and 11 researchers from ‘Korea Ocean Research and Development Institute’ participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12-channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling. proprietary
KOPRI-KPDC-00000054_1 1997 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1997-12-28 1997-12-29 -63.396667, -63.886111, -62.700833, -62.536389 https://cmr.earthdata.nasa.gov/search/concepts/C2244292254-AMD_KOPRI.umm_json Korean Antarctic survey was conducted in 1997 carried out in a continental shelf in the northwestern part of the Antarctic Peninsula. It took 2 days. We took on lease Norway R/V 'Polar Duke' and 11 researchers from ‘Korea Ocean Research and Development Institute’ participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12-channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling. proprietary
+KOPRI-KPDC-00000054_1 1997 Sediment Core, Antarctica ALL STAC Catalog 1997-12-28 1997-12-29 -63.396667, -63.886111, -62.700833, -62.536389 https://cmr.earthdata.nasa.gov/search/concepts/C2244292254-AMD_KOPRI.umm_json Korean Antarctic survey was conducted in 1997 carried out in a continental shelf in the northwestern part of the Antarctic Peninsula. It took 2 days. We took on lease Norway R/V 'Polar Duke' and 11 researchers from ‘Korea Ocean Research and Development Institute’ participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12-channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling. proprietary
KOPRI-KPDC-00000055_1 1998 Sediment Core, Antarctica ALL STAC Catalog 1998-12-11 1998-12-12 -66.32, -63.95, -63.47, -62.943333 https://cmr.earthdata.nasa.gov/search/concepts/C2244294165-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the continental margin (II region) of the northwestern Antarctic Peninsula. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 10 researchers participated in the cruise, including acquisition of multichannel seismic, gravity, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000055_1 1998 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1998-12-11 1998-12-12 -66.32, -63.95, -63.47, -62.943333 https://cmr.earthdata.nasa.gov/search/concepts/C2244294165-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the continental margin (II region) of the northwestern Antarctic Peninsula. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 10 researchers participated in the cruise, including acquisition of multichannel seismic, gravity, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
-KOPRI-KPDC-00000056_1 1999 Sediment Core, Antarctica ALL STAC Catalog 2000-01-01 2000-01-03 -66.32, -63.95, -63.47, -62.943333 https://cmr.earthdata.nasa.gov/search/concepts/C2244294945-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the continental margin off the Anvers Island of the northwestern Antarctic Peninsula. The research period was from 25 Nov. in 1999 to 3 Jan. in 2000 (8 days). We took on Korean R/V ""Onnuri"" (KORDI) and 13 researchers participated in the cruise, including acquisition of multichannel seismic, gravity, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic, SBP, gravity, and magnetometer surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000056_1 1999 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2000-01-01 2000-01-03 -66.32, -63.95, -63.47, -62.943333 https://cmr.earthdata.nasa.gov/search/concepts/C2244294945-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the continental margin off the Anvers Island of the northwestern Antarctic Peninsula. The research period was from 25 Nov. in 1999 to 3 Jan. in 2000 (8 days). We took on Korean R/V ""Onnuri"" (KORDI) and 13 researchers participated in the cruise, including acquisition of multichannel seismic, gravity, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic, SBP, gravity, and magnetometer surveys) 2. Paleoceanographic researches" proprietary
+KOPRI-KPDC-00000056_1 1999 Sediment Core, Antarctica ALL STAC Catalog 2000-01-01 2000-01-03 -66.32, -63.95, -63.47, -62.943333 https://cmr.earthdata.nasa.gov/search/concepts/C2244294945-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the continental margin off the Anvers Island of the northwestern Antarctic Peninsula. The research period was from 25 Nov. in 1999 to 3 Jan. in 2000 (8 days). We took on Korean R/V ""Onnuri"" (KORDI) and 13 researchers participated in the cruise, including acquisition of multichannel seismic, gravity, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic, SBP, gravity, and magnetometer surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000057_1 2005 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2005-12-26 2005-12-28 -57.808611, -61.3075, -56.389722, -60.925833 https://cmr.earthdata.nasa.gov/search/concepts/C2244295068-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern region off South Shetland Islands. The research period was from 16 Dec. to 30 Dec. (15 days) in 2005. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000057_1 2005 Sediment Core, Antarctica ALL STAC Catalog 2005-12-26 2005-12-28 -57.808611, -61.3075, -56.389722, -60.925833 https://cmr.earthdata.nasa.gov/search/concepts/C2244295068-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern region off South Shetland Islands. The research period was from 16 Dec. to 30 Dec. (15 days) in 2005. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
-KOPRI-KPDC-00000058_1 2006 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2006-12-10 2006-12-11 -61.138333, -61.503333, -58.722222, -61.284444 https://cmr.earthdata.nasa.gov/search/concepts/C2244295115-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern region off South Shetland Islands. The research period was from 5 Dec. to 12 Dec. (8 days) in 2006. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 8 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000058_1 2006 Sediment Core, Antarctica ALL STAC Catalog 2006-12-10 2006-12-11 -61.138333, -61.503333, -58.722222, -61.284444 https://cmr.earthdata.nasa.gov/search/concepts/C2244295115-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern region off South Shetland Islands. The research period was from 5 Dec. to 12 Dec. (8 days) in 2006. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 8 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
-KOPRI-KPDC-00000059_1 2010 Sediment Core, Antarctica (LARISSA) ALL STAC Catalog 2011-12-06 2011-12-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291545-AMD_KOPRI.umm_json For USA-Korea collaborative studies we took RV Palmer to get core sediments in 2010. After we obtained X-radiographs, gray scale analysis was conducted from core sediments. Paleoceanographic researches (LARISSA program) proprietary
+KOPRI-KPDC-00000058_1 2006 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2006-12-10 2006-12-11 -61.138333, -61.503333, -58.722222, -61.284444 https://cmr.earthdata.nasa.gov/search/concepts/C2244295115-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern region off South Shetland Islands. The research period was from 5 Dec. to 12 Dec. (8 days) in 2006. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 8 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary
KOPRI-KPDC-00000059_1 2010 Sediment Core, Antarctica (LARISSA) AMD_KOPRI STAC Catalog 2011-12-06 2011-12-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291545-AMD_KOPRI.umm_json For USA-Korea collaborative studies we took RV Palmer to get core sediments in 2010. After we obtained X-radiographs, gray scale analysis was conducted from core sediments. Paleoceanographic researches (LARISSA program) proprietary
-KOPRI-KPDC-00000060_1 2010 Sediment Core, Antarctica (K-Polar) AMD_KOPRI STAC Catalog 2009-12-10 2010-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291583-AMD_KOPRI.umm_json Antarctic survey were conducted in Bransfiedl Strait and off Joinville Island for 2010 K-Polar project. We took RV Araon to obtain gravity core sediments for paleoceanographic studies. Paleoceanographic studies proprietary
+KOPRI-KPDC-00000059_1 2010 Sediment Core, Antarctica (LARISSA) ALL STAC Catalog 2011-12-06 2011-12-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291545-AMD_KOPRI.umm_json For USA-Korea collaborative studies we took RV Palmer to get core sediments in 2010. After we obtained X-radiographs, gray scale analysis was conducted from core sediments. Paleoceanographic researches (LARISSA program) proprietary
KOPRI-KPDC-00000060_1 2010 Sediment Core, Antarctica (K-Polar) ALL STAC Catalog 2009-12-10 2010-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291583-AMD_KOPRI.umm_json Antarctic survey were conducted in Bransfiedl Strait and off Joinville Island for 2010 K-Polar project. We took RV Araon to obtain gravity core sediments for paleoceanographic studies. Paleoceanographic studies proprietary
-KOPRI-KPDC-00000061_1 2012 Sediment Core, Antarctica (Amundsen Sea Project) ALL STAC Catalog 2011-12-07 2011-12-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291671-AMD_KOPRI.umm_json Korean Antarctic survey was conducted off Amundsen Sea, West Antarctica. We took RV Araon in 2012 to obtain gravity core sediments for K-Polar Amundsen Sea project. Paleoceanographic researches proprietary
+KOPRI-KPDC-00000060_1 2010 Sediment Core, Antarctica (K-Polar) AMD_KOPRI STAC Catalog 2009-12-10 2010-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291583-AMD_KOPRI.umm_json Antarctic survey were conducted in Bransfiedl Strait and off Joinville Island for 2010 K-Polar project. We took RV Araon to obtain gravity core sediments for paleoceanographic studies. Paleoceanographic studies proprietary
KOPRI-KPDC-00000061_1 2012 Sediment Core, Antarctica (Amundsen Sea Project) AMD_KOPRI STAC Catalog 2011-12-07 2011-12-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291671-AMD_KOPRI.umm_json Korean Antarctic survey was conducted off Amundsen Sea, West Antarctica. We took RV Araon in 2012 to obtain gravity core sediments for K-Polar Amundsen Sea project. Paleoceanographic researches proprietary
-KOPRI-KPDC-00000062_1 2012 Sediment Core, Antarctica (LARISSA) ALL STAC Catalog 2011-12-07 2011-12-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291969-AMD_KOPRI.umm_json For USA-Korea collaborative studies we took RV Palmer and obtained core sediments in 2012. After that, X-radiography and non-destructive XRF of core sediments were conducted. Paleoceanographic researches (LARISSA program) proprietary
+KOPRI-KPDC-00000061_1 2012 Sediment Core, Antarctica (Amundsen Sea Project) ALL STAC Catalog 2011-12-07 2011-12-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291671-AMD_KOPRI.umm_json Korean Antarctic survey was conducted off Amundsen Sea, West Antarctica. We took RV Araon in 2012 to obtain gravity core sediments for K-Polar Amundsen Sea project. Paleoceanographic researches proprietary
KOPRI-KPDC-00000062_1 2012 Sediment Core, Antarctica (LARISSA) AMD_KOPRI STAC Catalog 2011-12-07 2011-12-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291969-AMD_KOPRI.umm_json For USA-Korea collaborative studies we took RV Palmer and obtained core sediments in 2012. After that, X-radiography and non-destructive XRF of core sediments were conducted. Paleoceanographic researches (LARISSA program) proprietary
+KOPRI-KPDC-00000062_1 2012 Sediment Core, Antarctica (LARISSA) ALL STAC Catalog 2011-12-07 2011-12-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244291969-AMD_KOPRI.umm_json For USA-Korea collaborative studies we took RV Palmer and obtained core sediments in 2012. After that, X-radiography and non-destructive XRF of core sediments were conducted. Paleoceanographic researches (LARISSA program) proprietary
KOPRI-KPDC-00000063_1 CTD measurements from Antarctic Peninsula region (KARP 1996) AMD_KOPRI STAC Catalog 2011-12-09 2011-12-09 -66, -69, -44, -59 https://cmr.earthdata.nasa.gov/search/concepts/C2244292467-AMD_KOPRI.umm_json This dataset includes CTD measurements of open water and fjords of Antarctic Peninsula during the KARP (Korea Antarctic Research Program) cruise from 1996. Data obtained are water temperature, salinity, density, dissolved oxygen concentration, turbidity, chlorophyl a, and current velocity. For fjord surveys, tide gauge was moored over the year with temperature and conductivity sensors. proprietary
KOPRI-KPDC-00000064_1 CTD measurements from Antarctic Peninsula region (KARP 1997) AMD_KOPRI STAC Catalog 2011-12-09 2011-12-09 -66, -69, -44, -59 https://cmr.earthdata.nasa.gov/search/concepts/C2244292736-AMD_KOPRI.umm_json This dataset includes CTD measurements of open water and fjords of Antarctic Peninsula during the KARP (Korea Antarctic Research Program) cruise from 1997. Data obtained are water temperature, salinity, density, dissolved oxygen concentration, turbidity, chlorophyl a, and current velocity. For fjord surveys, tide gauge was moored over the year with temperature and conductivity sensors. proprietary
KOPRI-KPDC-00000065_1 CTD measurements from Antarctic Peninsula region (KARP 1998) AMD_KOPRI STAC Catalog 2011-12-09 2011-12-09 -66, -69, -44, -59 https://cmr.earthdata.nasa.gov/search/concepts/C2244293034-AMD_KOPRI.umm_json This dataset includes CTD measurements of open water and fjords of Antarctic Peninsula during the KARP (Korea Antarctic Research Program) cruise from 1998. Data obtained are water temperature, salinity, density, dissolved oxygen concentration, turbidity, chlorophyl a, and current velocity. For fjord surveys, tide gauge was moored over the year with temperature and conductivity sensors. proprietary
@@ -8379,12 +8381,12 @@ KOPRI-KPDC-00000121_1 Moderate Resolution Imaging Spectroradiometer in Korea (MO
KOPRI-KPDC-00000122_1 Moderate Resolution Imaging Spectroradiometer in Korea (MODIS) / Aqua, 2011 AMD_KOPRI STAC Catalog 2011-01-01 2011-12-31 124.321289, 32.62087, 130.473633, 43.739352 https://cmr.earthdata.nasa.gov/search/concepts/C2244294937-AMD_KOPRI.umm_json MODIS is a 36-band spectroradiometer measuring visible and infrared radiation and obtaining data in Korea. The first MODIS instrument was launched on board the Terra satellite in December 1999, and the second was launched on Aqua in May 2002. Derive products ranging from vegetation, land surface cover, and ocean chlorophyll fluorescence to cloud and aerosol properties, fire occurrence, snow cover on the land, and sea ice cover on the oceans. proprietary
KOPRI-KPDC-00000123_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2002 AMD_KOPRI STAC Catalog 2002-09-03 2002-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294948-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
KOPRI-KPDC-00000123_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2002 ALL STAC Catalog 2002-09-03 2002-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294948-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
-KOPRI-KPDC-00000124_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2003 ALL STAC Catalog 2011-12-20 2011-12-20 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294964-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
KOPRI-KPDC-00000124_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2003 AMD_KOPRI STAC Catalog 2011-12-20 2011-12-20 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294964-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
-KOPRI-KPDC-00000125_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2004 ALL STAC Catalog 2004-01-01 2004-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294984-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
+KOPRI-KPDC-00000124_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2003 ALL STAC Catalog 2011-12-20 2011-12-20 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294964-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
KOPRI-KPDC-00000125_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2004 AMD_KOPRI STAC Catalog 2004-01-01 2004-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294984-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
-KOPRI-KPDC-00000126_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2005 ALL STAC Catalog 2005-01-01 2005-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294994-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
+KOPRI-KPDC-00000125_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2004 ALL STAC Catalog 2004-01-01 2004-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294984-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
KOPRI-KPDC-00000126_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2005 AMD_KOPRI STAC Catalog 2005-01-01 2005-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294994-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
+KOPRI-KPDC-00000126_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2005 ALL STAC Catalog 2005-01-01 2005-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244294994-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
KOPRI-KPDC-00000127_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2006 ALL STAC Catalog 2006-01-01 2006-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244295008-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
KOPRI-KPDC-00000127_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2006 AMD_KOPRI STAC Catalog 2006-01-01 2006-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244295008-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
KOPRI-KPDC-00000128_1 Advanced Microwave Scanning Radiometer form EOS (AMSR-E), 2007 ALL STAC Catalog 2007-01-01 2007-12-31 180, -84.959305, 0.5, 84.574702 https://cmr.earthdata.nasa.gov/search/concepts/C2244295029-AMD_KOPRI.umm_json The Advanced Microwave Scanning Radiometer form EOS (AMSR-E) is a twelve-channel, six-frequency, total power passive-microwave radiometer system. It measures brightness temperatures at 6.925, 10.65, 18.7, 23.8, 36.5 and 89.0 GHz. Vertically and horizontally polarized measurements are taken at all channels. Spatial resolution of the individual measurements varies from 5.4km at 89.0GHz to 56km at 6.9GHz The Earth-emitted microwave radiation is collected by an offset parabolic reflector 1.6 meters in diameter that scans across the Earth along an imaginary conical surface, maintaining a constant Earth incidence angle of 55 and providing a swath width array of six feedhorns which then carry the radiation to radiometers for measurement. Calibration is accomplished with observations of cosmic background radiation and an on-board warm target. proprietary
@@ -8490,8 +8492,8 @@ KOPRI-KPDC-00000222_1 All-Sky image data of the airglow emissions at King Sejong
KOPRI-KPDC-00000222_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2008 AMD_KOPRI STAC Catalog 2008-05-07 2008-10-30 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244294928-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica. Study of the atmospheric wave activities in the southern high-latitude MLT region. proprietary
KOPRI-KPDC-00000223_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2009 ALL STAC Catalog 2009-02-21 2009-04-18 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244294939-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica. Study of the atmospheric wave activities in the southern high-latitude MLT region. proprietary
KOPRI-KPDC-00000223_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2009 AMD_KOPRI STAC Catalog 2009-02-21 2009-04-18 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244294939-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica. Study of the atmospheric wave activities in the southern high-latitude MLT region. proprietary
-KOPRI-KPDC-00000224_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2010 AMD_KOPRI STAC Catalog 2010-02-15 2010-10-31 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244294950-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica. Study of the atmospheric wave activities in the southern high-latitude MLT region. proprietary
KOPRI-KPDC-00000224_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2010 ALL STAC Catalog 2010-02-15 2010-10-31 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244294950-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica. Study of the atmospheric wave activities in the southern high-latitude MLT region. proprietary
+KOPRI-KPDC-00000224_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2010 AMD_KOPRI STAC Catalog 2010-02-15 2010-10-31 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244294950-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica. Study of the atmospheric wave activities in the southern high-latitude MLT region. proprietary
KOPRI-KPDC-00000225_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2011 ALL STAC Catalog 2011-03-08 2011-10-28 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244294970-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica. Study of the atmospheric wave activities in the southern high-latitude MLT region. proprietary
KOPRI-KPDC-00000225_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2011 AMD_KOPRI STAC Catalog 2011-03-08 2011-10-28 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244294970-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica. Study of the atmospheric wave activities in the southern high-latitude MLT region. proprietary
KOPRI-KPDC-00000226_1 Distributions and diversities of viruses and bacteria in the Larsen A in the Anatarctic Weddell Sea AMD_KOPRI STAC Catalog 2012-03-11 2012-04-19 -60.171462, -65.065271, -57.538784, -64.707333 https://cmr.earthdata.nasa.gov/search/concepts/C2244294995-AMD_KOPRI.umm_json The collapse of the Larsen A Ice Shelve at the eastern coast of the Antarctic Peninsula occurred in 1995. However, no information is available on the spatial distributions of abundances and compositions of viruses and bacteria in the Larsen A area. During the NBP cruise from March 11 to April 19 in 2012, we collected seawater samples for microbial ecology at 7 stations in the study area. For the first time, we will provide the data on the distributions and compositions for marine microbes in the Lasen A area. To investigate distributions and diversities of viruses and bacteria in Larsen A in the Weddell Sea proprietary
@@ -8501,13 +8503,13 @@ KOPRI-KPDC-00000229_2 O2/Ar of surface water measured using an equilibrator inle
KOPRI-KPDC-00000230_1 X-ray diffraction data using ice-binding protein (LeIBP) crystal AMD_KOPRI STAC Catalog 2012-06-26 2012-06-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295060-AMD_KOPRI.umm_json Psychrophilic Arctic yeast Leucosporidium sp. produces a glycosylated ice-binding protein (LeIBP) with a molecular mass of approximately 25 kDa, which can lower the freezing point below the melting point once it binds to ice. LeIBP exhibits low amino acid sequence similarity to other antifreeze proteins with known protein structures. Recently, we developed an expression system allowing high-level production and efficient purification of recombinant pLeIBP. Furthermore, crystallization and preliminary X-ray crystallographic analysis of the ice-binding protein were performed. To investigate the antifreeze mechanism of LeIBP, we have carried out structural studies. As the first step toward its structural elucidation, we report the results of preliminary X-ray crystallographic experiments with LeIBP. proprietary
KOPRI-KPDC-00000231_1 Multibeam data of around the Antarctic peninsula, 2010 AMD_KOPRI STAC Catalog 2010-11-21 2010-12-21 -60, -62.5, -54, -60.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244294986-AMD_KOPRI.umm_json During December, 2010, KOPRI conducted seismic survey in the around Antarctic peninsila. During the cruise, we collected multibeam data. An accurate bathymetry survey for the unknown area. Bathymetric data collected using a MBES during marine scientific survey is essential for geologic and oceanographic. proprietary
KOPRI-KPDC-00000232_1 LADCP Data surrounding Chukchi Borderland and Mendeleev Ridge of Arctic in 2011 AMD_KOPRI STAC Catalog 2011-08-02 2011-08-16 -179.33333, 73.6315, -161.919, 79.999833 https://cmr.earthdata.nasa.gov/search/concepts/C2244295188-AMD_KOPRI.umm_json An intensive oceanographic survey was conducted during 21 days from 2011 July 31 to August 20 by IBRV ARAON to measure the spatial and temporal variation of water masses in the Chukchi Borderland/Mendeleev Ridge. The seawater temperature patten was observed using LADCP and ADCP. To investigate the variability in spatial and temporal distribution of water masses and and understand its transformation along the pathways and relationship with sea ice melting in the Chukchi Borderland/Mendeleev Ridge. proprietary
-KOPRI-KPDC-00000233_1 ADCP Data surrounding Chukchi Borderland and Mendeleev Ridge of Arctic in 2011 ALL STAC Catalog 2011-08-06 2011-08-16 -179.474667, 76.391667, -161.927333, 78.004333 https://cmr.earthdata.nasa.gov/search/concepts/C2244295215-AMD_KOPRI.umm_json An intensive oceanographic survey was conducted during 21 days from 2011 July 31 to August 20 by IBRV ARAON to measure the spatial and temporal variation of water masses in the Chukchi Borderland/Mendeleev Ridge. The seawater temperature patten was observed using LADCP and ADCP. To investigate the variability in spatial and temporal distribution of water masses and understand its transformation along the pathways and relationship with sea ice melting in the Chukchi Borderland/Mendeleev Ridge. proprietary
KOPRI-KPDC-00000233_1 ADCP Data surrounding Chukchi Borderland and Mendeleev Ridge of Arctic in 2011 AMD_KOPRI STAC Catalog 2011-08-06 2011-08-16 -179.474667, 76.391667, -161.927333, 78.004333 https://cmr.earthdata.nasa.gov/search/concepts/C2244295215-AMD_KOPRI.umm_json An intensive oceanographic survey was conducted during 21 days from 2011 July 31 to August 20 by IBRV ARAON to measure the spatial and temporal variation of water masses in the Chukchi Borderland/Mendeleev Ridge. The seawater temperature patten was observed using LADCP and ADCP. To investigate the variability in spatial and temporal distribution of water masses and understand its transformation along the pathways and relationship with sea ice melting in the Chukchi Borderland/Mendeleev Ridge. proprietary
+KOPRI-KPDC-00000233_1 ADCP Data surrounding Chukchi Borderland and Mendeleev Ridge of Arctic in 2011 ALL STAC Catalog 2011-08-06 2011-08-16 -179.474667, 76.391667, -161.927333, 78.004333 https://cmr.earthdata.nasa.gov/search/concepts/C2244295215-AMD_KOPRI.umm_json An intensive oceanographic survey was conducted during 21 days from 2011 July 31 to August 20 by IBRV ARAON to measure the spatial and temporal variation of water masses in the Chukchi Borderland/Mendeleev Ridge. The seawater temperature patten was observed using LADCP and ADCP. To investigate the variability in spatial and temporal distribution of water masses and understand its transformation along the pathways and relationship with sea ice melting in the Chukchi Borderland/Mendeleev Ridge. proprietary
KOPRI-KPDC-00000234_1 XCTD Data surrounding Chukchi Borderland and Mendeleev Ridge of Arctic in 2011 AMD_KOPRI STAC Catalog 2011-08-04 2011-08-16 -179.275, 74.75, -162.398, 78.009 https://cmr.earthdata.nasa.gov/search/concepts/C2244295229-AMD_KOPRI.umm_json To measure the vertical profiles of temperature and salinity in the Chukchi Borderland/Mendeleev Ridge, an intensive oceanographic survey was conducted during 21 days from 2011 July 31 to August 20 by IBRV ARAON and to increase the spatial resolution for temperature and salinity, XCTD probes were used at 33 stations between regular hydrographic stations. To investigate the variability in spatial and temporal distribution of water masses and and understand its transformation along the pathways and relationship with sea ice melting in the Chukchi Borderland/Mendeleev Ridge. proprietary
KOPRI-KPDC-00000235_1 CTD Data surrounding Amundsen Sea of Antarctic in 2011 AMD_KOPRI STAC Catalog 2012-02-10 2012-03-06 -144.9995, -75.087333, -101.532833, -70.750167 https://cmr.earthdata.nasa.gov/search/concepts/C2244295242-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Amundsen Sea, the oceanographic research was conducted from 2012 January 31 to March 20. The vertical temperature, salinity and depth were obtained at 52 stations using CTD and Rosette water sampler. In order to identify the temporal and spatial distribution of CDW on the Amundsen shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion. A total of the oceanographic investigation was conducted using ship (ARAON) in 2012. proprietary
KOPRI-KPDC-00000236_1 LADCP Data surrounding Amundsen Sea of Antarctic in 2011 AMD_KOPRI STAC Catalog 2012-02-10 2012-03-09 -133.988333, -75.087333, -101.532833, -70.750167 https://cmr.earthdata.nasa.gov/search/concepts/C2244295254-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Amundsen Sea, the oceanographic research was conducted from 2012 January 31 to March 20. A lowered acoustic Doppler current profiler (LADCP) was attached to the CTD frame to measure the full profile of current velocities. In order to identify the temporal and spatial distribution of CDW on the Amundsen shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion. A total of the oceanographic investigation was conducted by using ship (ARAON) in 2012. proprietary
-KOPRI-KPDC-00000237_1 ADCP Data surrounding Amundsen Sea of Antarctic in 2011 ALL STAC Catalog 2012-02-10 2012-03-01 -170.674667, -75.067167, -101.759333, -71.638833 https://cmr.earthdata.nasa.gov/search/concepts/C2244295264-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Amundsen Sea, the oceanographic research was conducted from 2012 January 31 to March 20. In order to produce a record of water current velocities for a range of depths was used by ADCP. On the cruise track, the vessel-mounted ADCP was continuously conducted. In order to identify the temporal and spatial distribution of CDW on the Amundsen shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion.A total of the oceanographic investigation was conducted using ship (ARAON) in 2012. proprietary
KOPRI-KPDC-00000237_1 ADCP Data surrounding Amundsen Sea of Antarctic in 2011 AMD_KOPRI STAC Catalog 2012-02-10 2012-03-01 -170.674667, -75.067167, -101.759333, -71.638833 https://cmr.earthdata.nasa.gov/search/concepts/C2244295264-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Amundsen Sea, the oceanographic research was conducted from 2012 January 31 to March 20. In order to produce a record of water current velocities for a range of depths was used by ADCP. On the cruise track, the vessel-mounted ADCP was continuously conducted. In order to identify the temporal and spatial distribution of CDW on the Amundsen shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion.A total of the oceanographic investigation was conducted using ship (ARAON) in 2012. proprietary
+KOPRI-KPDC-00000237_1 ADCP Data surrounding Amundsen Sea of Antarctic in 2011 ALL STAC Catalog 2012-02-10 2012-03-01 -170.674667, -75.067167, -101.759333, -71.638833 https://cmr.earthdata.nasa.gov/search/concepts/C2244295264-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Amundsen Sea, the oceanographic research was conducted from 2012 January 31 to March 20. In order to produce a record of water current velocities for a range of depths was used by ADCP. On the cruise track, the vessel-mounted ADCP was continuously conducted. In order to identify the temporal and spatial distribution of CDW on the Amundsen shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion.A total of the oceanographic investigation was conducted using ship (ARAON) in 2012. proprietary
KOPRI-KPDC-00000238_1 XBT Data surrounding Amundsen Sea of Antarctic in 2011 AMD_KOPRI STAC Catalog 2012-01-01 2012-03-02 -178.545167, -73.82, -108.2715, -47.941167 https://cmr.earthdata.nasa.gov/search/concepts/C2244295299-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Amundsen Sea, the oceanographic research was conducted from 2012 January 31 to March 20. The vertical temperature and depth were obtained at 25 stations using XBT. In order to identify the temporal and spatial distribution of CDW on the Amundsen shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion. A total of the oceanographic investigation was conducted using ship (ARAON) in 2012. proprietary
KOPRI-KPDC-00000239_1 ESTs (Expressed Sequence Tags) of Calanus glacialis from the Arctic marine AMD_KOPRI STAC Catalog 2012-07-24 2012-07-24 11.933333, 78.916667, 11.933333, 78.916667 https://cmr.earthdata.nasa.gov/search/concepts/C2244295311-AMD_KOPRI.umm_json Zooplankton Calanus glacialis were collected in the Arctic marine around Dasan station in 2006. We sequenced about 28,000 EST clones using GS 20 (Genome Sequencer 20). The aim of the ESTs collection from the Arctic zooplankton is to study phenomena of life of the Arctic marine organisms. The ESTs of Calanus glacialis can be used to analyze the functions and the expression of interesting genes at the molecular level. proprietary
KOPRI-KPDC-00000240_1 Polar Organism genomic and transcriptomic sequences, 2009 AMD_KOPRI STAC Catalog 2009-12-01 2010-02-28 -58.783333, -62.233333, -58.783333, -62.233333 https://cmr.earthdata.nasa.gov/search/concepts/C2244295327-AMD_KOPRI.umm_json Genomics is high-profile science, impacting on all areas of biology, especially functional genomics focuses on the dynamic aspects such as gene transcription, translation, and protein–protein interactions for attempting to answer questions about the function of DNA at the levels of genes, RNA transcripts, and protein products. The Antarctic genomics project is their genome-wide approach to these questions for various Antarctic biota, such as fishes, amphipodas, plants, lichens and microorganisms involving high-throughput methods. proprietary
@@ -8538,8 +8540,8 @@ KOPRI-KPDC-00000263_2 Climate Measurement Around the King Sejong Station, Antarc
KOPRI-KPDC-00000264_1 Multibeam data of Amundsen sea in Antarctic, 2012 AMD_KOPRI STAC Catalog 2012-02-09 2012-03-07 -117.96, -75, -101.214, -70.76 https://cmr.earthdata.nasa.gov/search/concepts/C2244293745-AMD_KOPRI.umm_json During February and March, 2012, KOPRI conducted marine survey in the Amundsen Sea, Antarctica. During the cruise, we collected multibeam data Because seafloor mapping is not the major purpose of the survey, tracks were determined to connect other stationary observation and sampling such as sediemint coring, CTD casting and so on. However, there are many areas are not surveyed yet in the Amundsen Sea, the acquired multibeam data will be utilized to fill the gap in the seafloor feature. proprietary
KOPRI-KPDC-00000265_1 Multibeam data of Chukchi sea in Arctic ocean, 2011 AMD_KOPRI STAC Catalog 2011-08-02 2011-08-18 -175, 72.851, -161.81, 78.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244294056-AMD_KOPRI.umm_json During August, 2012, KOPRI conducted marine survey in the Chukchi sea, Arctic ocean. During the cruise, we collected multibeam data. An accurate bathymetry survey for the unknown area. Bathymetric data collected using a MBES during marine scientific survey is essential for geologic and oceanographic research works. proprietary
KOPRI-KPDC-00000266_1 Structure and Distribution of Phytoplankton communities in the Chukchi Sea, 2012 AMD_KOPRI STAC Catalog 2012-08-04 2012-09-06 -179.836, 73.314, -153.983, 82.324 https://cmr.earthdata.nasa.gov/search/concepts/C2244294379-AMD_KOPRI.umm_json In order to investigate the structure of phytoplankton communities, this study was carried out at 32 stations, 7 – 8 depths from August 4 to September 6, 2012 in the Chukchi Sea and Melting Ponds on the Sea Ice. - To investigate on species composition, abundance and dominant species of phytoplankton communities in the Chukchi Sea and Sea Ice - To study on taxonomic research and dominant species of phytoplankton communities for investigate on indicator species proprietary
-KOPRI-KPDC-00000267_1 Aerosol Scattering Coefficients in the Arctic ocean, 2012 ALL STAC Catalog 2012-07-29 2012-09-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295073-AMD_KOPRI.umm_json Aerosol scattering coefficients for three different wavelengths (λ=450, 550, and 700nm) are measured almost continuously by a nephelometer in the Arctic ocean. To determine the optical properties of aerosols in the Arctic ocean. proprietary
KOPRI-KPDC-00000267_1 Aerosol Scattering Coefficients in the Arctic ocean, 2012 AMD_KOPRI STAC Catalog 2012-07-29 2012-09-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295073-AMD_KOPRI.umm_json Aerosol scattering coefficients for three different wavelengths (λ=450, 550, and 700nm) are measured almost continuously by a nephelometer in the Arctic ocean. To determine the optical properties of aerosols in the Arctic ocean. proprietary
+KOPRI-KPDC-00000267_1 Aerosol Scattering Coefficients in the Arctic ocean, 2012 ALL STAC Catalog 2012-07-29 2012-09-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295073-AMD_KOPRI.umm_json Aerosol scattering coefficients for three different wavelengths (λ=450, 550, and 700nm) are measured almost continuously by a nephelometer in the Arctic ocean. To determine the optical properties of aerosols in the Arctic ocean. proprietary
KOPRI-KPDC-00000268_1 Chlorophyll-a concentration from the Antarctic Amundsen Sea 2010/11 AMD_KOPRI STAC Catalog 2010-12-21 2011-01-23 -131.27, -74.21, -108.97, -63.99 https://cmr.earthdata.nasa.gov/search/concepts/C2244294699-AMD_KOPRI.umm_json Chlorophyll-a concentration is investigated in the Amundsen Sea of Southern Ocean from December 2010 to January 2011. This data includes investigator and locality for chlorophyll-a concentration Chlorophyll-a concentration in Antarctic Amundsen Sea 2010/2011 proprietary
KOPRI-KPDC-00000269_1 Chlorophyll-a concentration from the Antarctic Amundsen Sea 2012 AMD_KOPRI STAC Catalog 2012-01-31 2012-03-20 -136.974, -75.087, -101.533, -71.419 https://cmr.earthdata.nasa.gov/search/concepts/C2244294860-AMD_KOPRI.umm_json Chlorophyll-a concentration is investigated in the Amundsen Sea of Southern Ocean from January to March 2012. This data includes investigator and locality for chlorophyll-a concentration Chlorophyll-a concentration in Antarctic Amundsen Sea 2012 proprietary
KOPRI-KPDC-00000270_1 Marine protozoa sample from 2012 Arctic Chuckchi Sea AMD_KOPRI STAC Catalog 2012-08-01 2012-09-10 174, 73.31, 173.77, 82.32 https://cmr.earthdata.nasa.gov/search/concepts/C2244294907-AMD_KOPRI.umm_json Marin protozoa are collected in the Chuckchi Sea of central Arctic Sea from 1 August to 10 September 2012. This data includes collector, locality and abundance for marine protozoa Abundance and community structure analysis of marine protozoa in Arctic Chuckchi Sea proprietary
@@ -8554,8 +8556,8 @@ KOPRI-KPDC-00000278_1 Aerosol Scattering Coefficients in the Antarctic ocean, 20
KOPRI-KPDC-00000278_1 Aerosol Scattering Coefficients in the Antarctic ocean, 2011-2012 AMD_KOPRI STAC Catalog 2011-11-15 2012-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295118-AMD_KOPRI.umm_json Aerosol scattering coefficients for three different wavelengths (λ=450, 550, and 700nm) are measured almost continuously by a nephelometer in the Antarctic ocean. To determine the optical properties of aerosols in the Antarctic ocean. proprietary
KOPRI-KPDC-00000279_1 Aerosol Number Concentration Observed in the Arctic Ocean, 2012. AMD_KOPRI STAC Catalog 2012-07-29 2012-09-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295164-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 10nm in diameter for CPC3772 and >2.5nm for CPC3776. To study aerosol formation and growth in Arctic-Antarctic Ocean. proprietary
KOPRI-KPDC-00000279_1 Aerosol Number Concentration Observed in the Arctic Ocean, 2012. ALL STAC Catalog 2012-07-29 2012-09-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295164-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 10nm in diameter for CPC3772 and >2.5nm for CPC3776. To study aerosol formation and growth in Arctic-Antarctic Ocean. proprietary
-KOPRI-KPDC-00000280_1 Aerosol Number Concentration Observed in the Antarctic Ocean, 2011-2012. AMD_KOPRI STAC Catalog 2011-11-15 2012-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295204-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 10nm in diameter for CPC3772 and > 2.5nm for CPC3776. To study aerosol formation and growth in Antarctic Ocean. proprietary
KOPRI-KPDC-00000280_1 Aerosol Number Concentration Observed in the Antarctic Ocean, 2011-2012. ALL STAC Catalog 2011-11-15 2012-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295204-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 10nm in diameter for CPC3772 and > 2.5nm for CPC3776. To study aerosol formation and growth in Antarctic Ocean. proprietary
+KOPRI-KPDC-00000280_1 Aerosol Number Concentration Observed in the Antarctic Ocean, 2011-2012. AMD_KOPRI STAC Catalog 2011-11-15 2012-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295204-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 10nm in diameter for CPC3772 and > 2.5nm for CPC3776. To study aerosol formation and growth in Antarctic Ocean. proprietary
KOPRI-KPDC-00000281_1 Mass Concentration of Black Carbon in the Antarctic Ocean, 2012. AMD_KOPRI STAC Catalog 2011-11-15 2012-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295220-AMD_KOPRI.umm_json Black carbon (BC) concentrations were measured to investigate the filter spot loading effect in raw BC data at 5-minute time-based resolution using a Dual-wavelength(BC 880nm, UV 370nm). Measurement of optically-absorbing Black Carbon particles in Arctic-Antarctic Ocean. proprietary
KOPRI-KPDC-00000282_1 Mass Concentration of Black Carbon in the Arctic Ocean, 2012 AMD_KOPRI STAC Catalog 2012-07-29 2012-09-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295233-AMD_KOPRI.umm_json Black carbon (BC) concentrations were measured to investigate the filter spot loading effect in raw BC data at 5-minute time-based resolution using a Dual-wavelength(BC 880nm, UV 370nm). Measurement of optically-absorbing Black Carbon particles in Arctic Ocean. proprietary
KOPRI-KPDC-00000283_1 Korea Seismic Line 2009 AMD_KOPRI STAC Catalog 2010-01-08 2010-01-11 -58, -61.5, -56, -60.5 https://cmr.earthdata.nasa.gov/search/concepts/C2244295244-AMD_KOPRI.umm_json Korea Seismic Line 2009, multi-channel seismic data, were collected during the 2009-2010 austral summer with RV JCR in the South Shetland Continental margin. The major purpose of this survey is to investigate detailed features of distribution and characteristics of gas hydrates buried in the South Shetland continental margin. proprietary
@@ -8598,10 +8600,10 @@ KOPRI-KPDC-00000317_1 Turbulent fluxes at the Antarctic King Sejong Station in 2
KOPRI-KPDC-00000318_1 Turbulent fluxes at the Antarctic King Sejong Station in 2012 AMD_KOPRI STAC Catalog 2012-01-01 2012-12-31 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244294954-AMD_KOPRI.umm_json Turbulent fluxes of momentum, heat, water vapor, and CO2 had been measured from January to December in 2012 at a coastal region of the Antarctic King Sejong station. Eddy covariance system, consisting of 3-D sonic anemometer and open-path CO2/H2O gas analyzer was used for the measurement. Data were recorded on a data logger with sampling rate of 20 Hz. Turbulent flux measurements are used to better understand 1) the air-ocean-land-sea ice energy exchanges and 2) water and carbon dioxide gases. proprietary
KOPRI-KPDC-00000319_1 Multibeam data of around KOPRIdge, Antarctic ocean, January-Februray, 2013 AMD_KOPRI STAC Catalog 2013-01-26 2013-02-05 156, -63, 161, -61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2244294978-AMD_KOPRI.umm_json During January to February, 2013, KOPRI conducted KOPRI ridge(KOPRIdge) survey in the longitude 160 degree east, Antarctic ocean. During the cruise, we collected multibeam data. An accurate bathymetry survey for the unknown area. Bathymetric data collected using a MBES during marine scientific survey is essential for geologic and oceanographic. proprietary
KOPRI-KPDC-00000320_1 Korea Seismic Line 2012 AMD_KOPRI STAC Catalog 2013-02-22 2013-02-23 176, -74, 180, -72 https://cmr.earthdata.nasa.gov/search/concepts/C2244294989-AMD_KOPRI.umm_json Korea Seismic Line 2012, multi-channel seismic data, were collected during the 2012-2013 austral summer with RV Araon in the Continental margin of Ross Sea. The major purpose of this survey is to investigate stratigraphy and sedimentary structure of the continental slope of Ross Sea, Antarctica. proprietary
-KOPRI-KPDC-00000321_2 2013 CTD Data, Ross Sea of Antarctic ALL STAC Catalog 2013-01-27 2013-02-19 163.0785, -76.478667, 179.505833, -71.866667 https://cmr.earthdata.nasa.gov/search/concepts/C2244301436-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Ross Sea, the oceanographic research was conducted from 2013 January 19 to March 02. The vertical temperature, salinity and depth were obtained at 41 stations using CTD and Rosette water sampler. In order to identify the temporal and spatial distribution of CDW on the Ross shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion. A total of the oceanographic investigation was conducted using ship (ARAON) in 2013. proprietary
KOPRI-KPDC-00000321_2 2013 CTD Data, Ross Sea of Antarctic AMD_KOPRI STAC Catalog 2013-01-27 2013-02-19 163.0785, -76.478667, 179.505833, -71.866667 https://cmr.earthdata.nasa.gov/search/concepts/C2244301436-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Ross Sea, the oceanographic research was conducted from 2013 January 19 to March 02. The vertical temperature, salinity and depth were obtained at 41 stations using CTD and Rosette water sampler. In order to identify the temporal and spatial distribution of CDW on the Ross shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion. A total of the oceanographic investigation was conducted using ship (ARAON) in 2013. proprietary
-KOPRI-KPDC-00000322_1 2013 LADCP Data, Antarctic AMD_KOPRI STAC Catalog 2013-01-27 2013-02-19 -179.505833, -76.478667, -158.396833, -61.75 https://cmr.earthdata.nasa.gov/search/concepts/C2244294999-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Ross Sea, the oceanographic research was conducted from 2013 January 19 to March 02. A lowered acoustic Doppler current profiler (LADCP) was attached to the CTD frame to measure the full profile of current velocities. In order to identify the temporal and spatial distribution of CDW on the Ross Sea shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion. A total of the oceanographic investigation was conducted by using ship (ARAON) in 2013. proprietary
+KOPRI-KPDC-00000321_2 2013 CTD Data, Ross Sea of Antarctic ALL STAC Catalog 2013-01-27 2013-02-19 163.0785, -76.478667, 179.505833, -71.866667 https://cmr.earthdata.nasa.gov/search/concepts/C2244301436-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Ross Sea, the oceanographic research was conducted from 2013 January 19 to March 02. The vertical temperature, salinity and depth were obtained at 41 stations using CTD and Rosette water sampler. In order to identify the temporal and spatial distribution of CDW on the Ross shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion. A total of the oceanographic investigation was conducted using ship (ARAON) in 2013. proprietary
KOPRI-KPDC-00000322_1 2013 LADCP Data, Antarctic ALL STAC Catalog 2013-01-27 2013-02-19 -179.505833, -76.478667, -158.396833, -61.75 https://cmr.earthdata.nasa.gov/search/concepts/C2244294999-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Ross Sea, the oceanographic research was conducted from 2013 January 19 to March 02. A lowered acoustic Doppler current profiler (LADCP) was attached to the CTD frame to measure the full profile of current velocities. In order to identify the temporal and spatial distribution of CDW on the Ross Sea shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion. A total of the oceanographic investigation was conducted by using ship (ARAON) in 2013. proprietary
+KOPRI-KPDC-00000322_1 2013 LADCP Data, Antarctic AMD_KOPRI STAC Catalog 2013-01-27 2013-02-19 -179.505833, -76.478667, -158.396833, -61.75 https://cmr.earthdata.nasa.gov/search/concepts/C2244294999-AMD_KOPRI.umm_json In order to understand the role of CDW (Circumpolar Deep Water) in controlling the hydrodynamics and related biochemical processes on the continental shelf of the Ross Sea, the oceanographic research was conducted from 2013 January 19 to March 02. A lowered acoustic Doppler current profiler (LADCP) was attached to the CTD frame to measure the full profile of current velocities. In order to identify the temporal and spatial distribution of CDW on the Ross Sea shelf and estimate the heat transport and its effect on the melting of ice shelves by CDW intrusion. A total of the oceanographic investigation was conducted by using ship (ARAON) in 2013. proprietary
KOPRI-KPDC-00000323_1 Single-Particle Characterization of Summertime Antarctic Aerosols Collected at King George Island Using Quantitative Energy-Dispersive Electron Probe X-ray Microanalysis and Attenuated Total Reflection Fourier Transform-Infrared Imaging Techniques AMD_KOPRI STAC Catalog 2009-03-12 2009-03-16 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244295013-AMD_KOPRI.umm_json - Low-Z particle EPMA measurements were carried out on a JEOL JSM-6390 SEM equipped with an Oxford Link SATW ultrathin window energy-dispersive X-ray (EDX) detector. X-ray spectra were recorded under the control of INCA software (Oxford). An accelerating voltage of 10 kV, beam current of 0.5 nA, and a typical measuring time of 15 s were employed. - ATR-FT-IR imaging measurements were performed using a Perkin-Elmer Spectrum 100 FT-IR spectrometer interfaced to a Spectrum Spotlight 400 FT-IR microscope. For ATR imaging, an ATR accessory employing a germanium hemispherical internal reflection element (IRE) crystal with a diameter of 600 μm was used. A new single particle analytical methodology that combines low-Z particle EPMA and ATR-FT-IR imaging technique will be developed to obtain the full description for the micro-physicochemical properties of the same individual Antarctic aerosol particles. proprietary
KOPRI-KPDC-00000324_1 numerical simulation ouput data using GRIMs model to investigate climate response to snow cover change over the Eurasia AMD_KOPRI STAC Catalog 2011-12-01 2013-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295045-AMD_KOPRI.umm_json - Utilization GRIMs model to investigate impacts of the snow cover changes on variation of Siberian High intensity and thawing permafrost - Understanding the climate change mechanism of polar regions through an examination of the Arctic permafrost - Numerical simulation and future prediction for the permafrost environment change proprietary
KOPRI-KPDC-00000325_1 Model simulation data of atmospheric response to the changes in tropical sea surface temperature. AMD_KOPRI STAC Catalog 2013-04-03 2013-04-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295083-AMD_KOPRI.umm_json This data is produced by using National Center for Atmospheric Research (NCAR) Community Atmospheric Model version 3 (CAM3). Files are in netcdf format and self-explanatory . It includes atmospheric variables, such as zonal wind, meridional wind, temperature, and geopotential height, related the change in tropical sea surface temperature magnitudes. This data is used for analyzing the change in southern annular mode (SAM) to the change in the tropical El-Nino Southern Oscillation (ENSO) magnitude, and for comparing with reanalysis data for austral summer season (December-January-February). proprietary
@@ -8609,13 +8611,13 @@ KOPRI-KPDC-00000326_1 Numerical simulatio data and future prediction data for th
KOPRI-KPDC-00000327_2 Freshwater samples from McMurdo Dry Valleys in Victoria Land collected in 2012 AMD_KOPRI STAC Catalog 2012-10-19 2013-01-11 163, -77.5, 163, -77.5 https://cmr.earthdata.nasa.gov/search/concepts/C2244302468-AMD_KOPRI.umm_json Analysis of microbial diversity based on 454-pyrosequencing in freshwater samples from McMurdo Dry Valleys, Victoria Land, collected in 2012-2013 Microbial diversity survey in freshwater lakes proprietary
KOPRI-KPDC-00000328_1 Rock samples of Northern Victoria Land, Antarctica, 2012-13 season AMD_KOPRI STAC Catalog 2013-05-29 2013-05-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295171-AMD_KOPRI.umm_json This entry is for the rock samples of Northern Victoria Land (NVL), Antarctica collected in 2012-13 austral summer season. The collection includes sedimentary rocks (sandstone, limestone, conglomerate, and so on) of the Lower Paleozoic Bowers and Beacon supergroups, metamorphic rocks of the Wilson Terrane, and volcanic rocks of the McMurdo Volcanics. The samples were collected in order to understand the lithologic characters of basement rocks underneath the glaciers. Information on stratigraphy, metamorphism, and volcanism will be helpful for understanding geological processes and paleoenvironments of the Northern Victoria Land. proprietary
KOPRI-KPDC-00000329_1 Fossil specimens of Northern Victoria Land, 2012-2013 season AMD_KOPRI STAC Catalog 2013-05-30 2013-05-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295208-AMD_KOPRI.umm_json This entry is for the fossil specimens of Northern Victoria Land (NVL), Antarctica collected in 2012-13 austral summer season. The collection includes trilobites and brachipods of the Lower Paleozoic Bowers Supergroup and plant fossils of the Beacon Supergroup. The samples were collected in order to understand the lithologic characters of basement rocks underneath the glaciers. Information from the fossils will be helpful for understanding geological processes and paleoenvironments of the Northern Victoria Land. proprietary
-KOPRI-KPDC-00000330_1 A study on the distribution characteristics of total alkalinity in the Amundsen Sea in 2011. AMD_KOPRI STAC Catalog 2010-12-20 2011-01-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295236-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Amundsen Sea, hydrographic survey using IBRV Araon was carried out from December 20, 2010 to January 22, 2011. At each site, 377 samples for total alkalinity (TA) were collected from Niskin bottle to 500 ml boro-silicate glass bottles on board. In addition to these investigation, to understand the distribution of the various component of carbonic system, underway observation of CO2 parameters was carried out along the cruise track from King George Island to Christchurch. 141 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000330_1 A study on the distribution characteristics of total alkalinity in the Amundsen Sea in 2011. ALL STAC Catalog 2010-12-20 2011-01-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295236-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Amundsen Sea, hydrographic survey using IBRV Araon was carried out from December 20, 2010 to January 22, 2011. At each site, 377 samples for total alkalinity (TA) were collected from Niskin bottle to 500 ml boro-silicate glass bottles on board. In addition to these investigation, to understand the distribution of the various component of carbonic system, underway observation of CO2 parameters was carried out along the cruise track from King George Island to Christchurch. 141 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
+KOPRI-KPDC-00000330_1 A study on the distribution characteristics of total alkalinity in the Amundsen Sea in 2011. AMD_KOPRI STAC Catalog 2010-12-20 2011-01-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295236-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Amundsen Sea, hydrographic survey using IBRV Araon was carried out from December 20, 2010 to January 22, 2011. At each site, 377 samples for total alkalinity (TA) were collected from Niskin bottle to 500 ml boro-silicate glass bottles on board. In addition to these investigation, to understand the distribution of the various component of carbonic system, underway observation of CO2 parameters was carried out along the cruise track from King George Island to Christchurch. 141 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000331_1 A study on the distribution characteristics of total alkalinity in the Amundsen Sea in 2012. AMD_KOPRI STAC Catalog 2012-01-22 2012-03-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295247-AMD_KOPRI.umm_json In order to study for the effects on the processes controlling inorganic CO2 system during the Antarctic summer ice-free condition, an intensive oceanographic survey using the IBRV Araon from January 22 to March 11 was performed. At each hydrographic station, 628 samples for total alkalinity (TA) were collected from Niskin bottle on board. In addition to these investigation, to understand the distribution of the various component of carbonic system in the surface seawaters, underway observation of CO2 parameters was carried out along the cruise track. 271 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000331_1 A study on the distribution characteristics of total alkalinity in the Amundsen Sea in 2012. ALL STAC Catalog 2012-01-22 2012-03-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295247-AMD_KOPRI.umm_json In order to study for the effects on the processes controlling inorganic CO2 system during the Antarctic summer ice-free condition, an intensive oceanographic survey using the IBRV Araon from January 22 to March 11 was performed. At each hydrographic station, 628 samples for total alkalinity (TA) were collected from Niskin bottle on board. In addition to these investigation, to understand the distribution of the various component of carbonic system in the surface seawaters, underway observation of CO2 parameters was carried out along the cruise track. 271 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000332_1 CTD tow-yo data for hydrothermal plume survey along a mid-ocean ridge, 2013 AMD_KOPRI STAC Catalog 2013-01-28 2013-02-03 -160, -62, -160, -62 https://cmr.earthdata.nasa.gov/search/concepts/C2244295260-AMD_KOPRI.umm_json The dataset contains optical backscatter and oxidation-reduction potential signals along with conventional temperature, salinity, and pressure data, collected during tow-yo survey over a mid-ocean ridge. Because hydrothermal plumes typically carry turbid and/or reduced compounds (H2S, Fe2+), it is proven that optical backscatter and oxidation-reduction potentials sensors are very effective in hydrothermal plume detection. These sensors, attached to a CTD, can be towed along/cross a mid-ocean ridge to map the distribution of hydrothermal plumes. proprietary
-KOPRI-KPDC-00000333_1 A study on the distribution characteristics of Total Alkalinity (TA) in the Southern Ocean in summer 2009/2010. AMD_KOPRI STAC Catalog 2009-11-26 2010-01-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295280-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Southern Ocean, hydrographic survey using R/V Polarstern was carried out from November 26, 2009 to January 20, 2010. At 28 stations, 325 samples for total alkalinity were collected from Niskin bottle to 500 ml boro-silicate glass bottles on board. In addition to these investigation, to understand the distribution of the various component of carbonic system, underway observation of CO2 parameters was carried out along the cruise track from Punta Arenas, Chile, to Wellington, New Zealand. 576 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000333_1 A study on the distribution characteristics of Total Alkalinity (TA) in the Southern Ocean in summer 2009/2010. ALL STAC Catalog 2009-11-26 2010-01-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295280-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Southern Ocean, hydrographic survey using R/V Polarstern was carried out from November 26, 2009 to January 20, 2010. At 28 stations, 325 samples for total alkalinity were collected from Niskin bottle to 500 ml boro-silicate glass bottles on board. In addition to these investigation, to understand the distribution of the various component of carbonic system, underway observation of CO2 parameters was carried out along the cruise track from Punta Arenas, Chile, to Wellington, New Zealand. 576 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
+KOPRI-KPDC-00000333_1 A study on the distribution characteristics of Total Alkalinity (TA) in the Southern Ocean in summer 2009/2010. AMD_KOPRI STAC Catalog 2009-11-26 2010-01-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295280-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Southern Ocean, hydrographic survey using R/V Polarstern was carried out from November 26, 2009 to January 20, 2010. At 28 stations, 325 samples for total alkalinity were collected from Niskin bottle to 500 ml boro-silicate glass bottles on board. In addition to these investigation, to understand the distribution of the various component of carbonic system, underway observation of CO2 parameters was carried out along the cruise track from Punta Arenas, Chile, to Wellington, New Zealand. 576 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000334_1 Distribution of total alkalinity in the Chukchi Sea of the Arctic Ocean in summer 2010. AMD_KOPRI STAC Catalog 2010-07-17 2010-08-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295307-AMD_KOPRI.umm_json To understand the influence of rapid retreat of Arctic sea ice on distribution of the various of the carbonic system, hydrographic survey was carried out by the IBRV Araon from July 17 to August 12 in Chuckchi Borderland and western Canada Basin. At each hydrographic station, 244 samples for total alkalinity (TA) were taken from Niskin bottle to 500 ml boro-silicate glass bottles on board. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Arctic Ocean has known as sink for atmospheric CO2. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000335_1 Multibeam data of around Weddell Sea, Western Antarctic peninsula, April to May, 2013 AMD_KOPRI STAC Catalog 2013-04-10 2013-05-06 -69.1, -68, -54, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2244295318-AMD_KOPRI.umm_json During April to May, 2013, KOPRI conducted marine survey in the Weddell sea, Western Antarctic peninsula. During the cruise, we collected multibeam data. An accurate bathymetry survey for the unknown area. Bathymetric data collected using a MBES during marine scientific survey is essential for geologic and oceanographic. proprietary
KOPRI-KPDC-00000336_1 Atmospheric and oceanic Methane: 2010 The Amundsen Sea AMD_KOPRI STAC Catalog 2010-12-20 2011-01-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295337-AMD_KOPRI.umm_json Atmospheric and oceanic methane in the marine boundary layer was monitored from 2010 December 20 to 2011 January 22 by the GC 7890A along the cruise track of R/V Araon from the King Sejong Station to Christchurch(New Zealand) carrying out a series of expeditions in The Amundsen Sea. The air inlet to the instrument was located at 29 m asl and the sea water inlet was located at 7m depth. CH4 was measured every 40 minutes. As atmospheric methane is one of the major green house gases, it is important to understand the degree of influence of it. Although oceanic source doesn't contribute highly, it is required to monitor air-sea flux continuously because the area of the Ocean is large and the flux changes easily according to the chemical and biological conditions. proprietary
@@ -8656,8 +8658,8 @@ KOPRI-KPDC-00000370_1 A study on the distribution characteristics of dissolved i
KOPRI-KPDC-00000370_1 A study on the distribution characteristics of dissolved inorganic carbon (DIC) in the Amundsen Sea in 2011. AMD_KOPRI STAC Catalog 2010-12-20 2011-01-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244294991-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Amundsen Sea, hydrographic survey using IBRV Araon was carried out from December 20, 2010 to January 22, 2011. At each site, 377 samples for dissolved inorganic carbon (DIC) were collected from Niskin bottle to 500 ml boro-silicate glass bottles on board. And 374 samples for seawater pH were drawn to 250 ml polypropylene bottle. In addition to these investigation, to understand the distribution of the various component of carbonic system, underway observation of CO2 parameters was carried out along the cruise track from King George Island to Christchurch. 141 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000371_1 A study on the distribution characteristics of dissolved inorganic carbon (DIC) in the Amundsen Sea in 2012. AMD_KOPRI STAC Catalog 2012-01-22 2012-03-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295004-AMD_KOPRI.umm_json In order to study for the effects on the processes controlling inorganic CO2 system during the Antarctic summer ice-free condition, an intensive oceanographic survey using the IBRV Araon from January 22 to March 11 was performed. At each hydrographic station, 628 samples for dissolved inorganic carbon (DIC) were collected from Niskin bottle on board. In addition to these investigation, to understand the distribution of the various component of carbonic system in the surface seawaters, underway observation of CO2 parameters was carried out along the cruise track. 271 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000371_1 A study on the distribution characteristics of dissolved inorganic carbon (DIC) in the Amundsen Sea in 2012. ALL STAC Catalog 2012-01-22 2012-03-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295004-AMD_KOPRI.umm_json In order to study for the effects on the processes controlling inorganic CO2 system during the Antarctic summer ice-free condition, an intensive oceanographic survey using the IBRV Araon from January 22 to March 11 was performed. At each hydrographic station, 628 samples for dissolved inorganic carbon (DIC) were collected from Niskin bottle on board. In addition to these investigation, to understand the distribution of the various component of carbonic system in the surface seawaters, underway observation of CO2 parameters was carried out along the cruise track. 271 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
-KOPRI-KPDC-00000372_1 A study on the distribution characteristics of dissolved inorganic carbon (DIC) in the Southern Ocean in summer 2009/2010. AMD_KOPRI STAC Catalog 2009-11-26 2010-01-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295017-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Southern Ocean, hydrographic survey using R/V Polarstern was carried out from November 26, 2009 to January 20, 2010. At 28 stations, 325 samples for dissolved inorganic carbon (DIC) were collected from Niskin bottle to 500 ml boro-silicate glass bottles on board. In addition to these investigation, to understand the distribution of the various component of carbonic system, underway observation of CO2 parameters was carried out along the cruise track from Punta Arenas, Chile, to Wellington, New Zealand. 576 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000372_1 A study on the distribution characteristics of dissolved inorganic carbon (DIC) in the Southern Ocean in summer 2009/2010. ALL STAC Catalog 2009-11-26 2010-01-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295017-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Southern Ocean, hydrographic survey using R/V Polarstern was carried out from November 26, 2009 to January 20, 2010. At 28 stations, 325 samples for dissolved inorganic carbon (DIC) were collected from Niskin bottle to 500 ml boro-silicate glass bottles on board. In addition to these investigation, to understand the distribution of the various component of carbonic system, underway observation of CO2 parameters was carried out along the cruise track from Punta Arenas, Chile, to Wellington, New Zealand. 576 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
+KOPRI-KPDC-00000372_1 A study on the distribution characteristics of dissolved inorganic carbon (DIC) in the Southern Ocean in summer 2009/2010. AMD_KOPRI STAC Catalog 2009-11-26 2010-01-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295017-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Southern Ocean, hydrographic survey using R/V Polarstern was carried out from November 26, 2009 to January 20, 2010. At 28 stations, 325 samples for dissolved inorganic carbon (DIC) were collected from Niskin bottle to 500 ml boro-silicate glass bottles on board. In addition to these investigation, to understand the distribution of the various component of carbonic system, underway observation of CO2 parameters was carried out along the cruise track from Punta Arenas, Chile, to Wellington, New Zealand. 576 samples were taken from the water inlet that was about 7m below the surface for the IBRV Araon. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Amundsen Sea of the Southern Ocean has known as sink for atmospheric CO2 owing to high biological production. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000373_1 Distribution of dissolved inorganic carbon (DIC) in the Chukchi Sea of the Arctic Ocean in summer 2010 AMD_KOPRI STAC Catalog 2010-07-17 2010-08-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295054-AMD_KOPRI.umm_json To understand the influence of rapid retreat of Arctic sea ice on distribution of the various of the carbonic system, hydrographic survey was carried out by the IBRV Araon from July 17 to August 12 in Chuckchi Borderland and western Canada Basin. At each hydrographic station, 244 samples for dissolved inorganic carbon (DIC) were taken from Niskin bottle to 500 ml boro-silicate glass bottles on board. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Arctic Ocean has known as sink for atmospheric CO2. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000374_1 Distribution of dissolved inorganic carbon (DIC) in the Chukchi Sea of the Arctic Ocean in summer 2011. AMD_KOPRI STAC Catalog 2011-07-30 2011-08-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295097-AMD_KOPRI.umm_json In order to study for the effects on the processes controlling inorganic CO2 system during the summer ice-free condition in the Arctic Ocean, an intensive oceanographic survey using the IBRV Araon from July 30 to August 19 was performed in Mendeleyev Ridge, East Siberian Sea, and Chuckchi Borderland. At each site, 259 samples for dissolved inorganic carbon (DIC) were taken from Niskin bottle to 500 ml boro-silicate glass bottles on board. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the Arctic Ocean has known as sink for atmospheric CO2. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
KOPRI-KPDC-00000375_1 Distribution of dissolved inorganic carbon (DIC) in the Northwestern Pacific in summer 2012. AMD_KOPRI STAC Catalog 2012-07-14 2012-07-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295140-AMD_KOPRI.umm_json As a part of the 2012 SHIp borne Pole-to-Pole Observations program, the IBRV Araon occupied 12 hydrographic stations in the Northwestern Pacific from July 14 to July 29. In order to study for rapid climate changes and its impact on distribution of the inorganic CO2 system, 225 samples for dissolved inorganic carbon (DIC) were taken from Niskin bottle to 500 ml boro-silicate glass bottles on board. Accurate measurement concerning spatio-temporal variability in CO2 in the water column is highly important to understanding of global carbon cycle and reliable prediction for the future atmospheric concentration of CO2. From flux study perspective of CO2, the North Pacific Ocean has known as sink for atmospheric CO2. But there wasn't enough data, and sea ice have an ambiguous role of air-sea CO2 exchange so that further research must be conducted. proprietary
@@ -8747,8 +8749,8 @@ KOPRI-KPDC-00000459_1 Bryophyta Flora around the Korean Antarctic Scientific Sta
KOPRI-KPDC-00000460_1 Biodiversity of marine algae in King George Island, Antarctica, 2012 AMD_KOPRI STAC Catalog 2013-01-05 2013-02-13 -58.916667, -62.233333, -58.7, -62.2 https://cmr.earthdata.nasa.gov/search/concepts/C2244291920-AMD_KOPRI.umm_json Marine algae, total 345 specimens and DNA samples were collected in the intertidal and subtidal zones for the studies on biodiversity and changing ecosystems in King George Islands, Antarctica. The biodiversity and genetic informations in the antarctic marine algae were obtained by morphological and molecular analysis, and the phylogenetic relationships will be discussed. To obtained the biodiversity of marine algae in the Antarctic proprietary
KOPRI-KPDC-00000461_1 Annual variation of phytoplankton at the Marian Cove, King George Island, Antarctica, 2012 AMD_KOPRI STAC Catalog 2012-01-01 2012-12-31 -71.116667, -65.7, -71.116667, -65.7 https://cmr.earthdata.nasa.gov/search/concepts/C2244292222-AMD_KOPRI.umm_json Annual variation of phytoplankton at the Marian Cove, King George Island, Antarctica, 2012 proprietary
KOPRI-KPDC-00000462_1 Marine algae samples from Antarctic Ocean collected in 2011 AMD_KOPRI STAC Catalog 2012-12-16 2012-12-16 -71.116667, -65.7, -71.116667, -65.7 https://cmr.earthdata.nasa.gov/search/concepts/C2244292440-AMD_KOPRI.umm_json Microalgae from Antarctic Ocean collected in 2012 using the habitat information for marine microalgae samples proprietary
-KOPRI-KPDC-00000463_1 Air-sea turbulent fluxes on the Arctic in the summer of 2013 AMD_KOPRI STAC Catalog 2013-08-20 2013-09-05 -174, 74, -158, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2244292978-AMD_KOPRI.umm_json On board turbulent fluxes of CO2, CH4 and energy were measured during the cruise in the Chukchi Borderland/Mendeleev Ridge/Beaufort Sea in boreal summer of 2013. Eddy covariance system, consisting of 3-D sonic anemometer, open-path CO2/H2O gas analyzer and closed-path cavity ring-down spectrometer was used for the measurement. Motion sensor was added to the flux system to correct the effect of ship motion on the fluxes. Data were recorded on a data logger with sampling rate of 10 Hz. Turbulent flux measurements are used to 1) better understand the air-sea energy exchanges and 2) evaluate how much the Chukchi sea absorbs or emits green house gases such as CO2 and CH4 in the Chukchi sea, the Arctic in summer proprietary
KOPRI-KPDC-00000463_1 Air-sea turbulent fluxes on the Arctic in the summer of 2013 ALL STAC Catalog 2013-08-20 2013-09-05 -174, 74, -158, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2244292978-AMD_KOPRI.umm_json On board turbulent fluxes of CO2, CH4 and energy were measured during the cruise in the Chukchi Borderland/Mendeleev Ridge/Beaufort Sea in boreal summer of 2013. Eddy covariance system, consisting of 3-D sonic anemometer, open-path CO2/H2O gas analyzer and closed-path cavity ring-down spectrometer was used for the measurement. Motion sensor was added to the flux system to correct the effect of ship motion on the fluxes. Data were recorded on a data logger with sampling rate of 10 Hz. Turbulent flux measurements are used to 1) better understand the air-sea energy exchanges and 2) evaluate how much the Chukchi sea absorbs or emits green house gases such as CO2 and CH4 in the Chukchi sea, the Arctic in summer proprietary
+KOPRI-KPDC-00000463_1 Air-sea turbulent fluxes on the Arctic in the summer of 2013 AMD_KOPRI STAC Catalog 2013-08-20 2013-09-05 -174, 74, -158, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2244292978-AMD_KOPRI.umm_json On board turbulent fluxes of CO2, CH4 and energy were measured during the cruise in the Chukchi Borderland/Mendeleev Ridge/Beaufort Sea in boreal summer of 2013. Eddy covariance system, consisting of 3-D sonic anemometer, open-path CO2/H2O gas analyzer and closed-path cavity ring-down spectrometer was used for the measurement. Motion sensor was added to the flux system to correct the effect of ship motion on the fluxes. Data were recorded on a data logger with sampling rate of 10 Hz. Turbulent flux measurements are used to 1) better understand the air-sea energy exchanges and 2) evaluate how much the Chukchi sea absorbs or emits green house gases such as CO2 and CH4 in the Chukchi sea, the Arctic in summer proprietary
KOPRI-KPDC-00000464_1 2013 CTD Data, in Chukchi Borderland/Mendeleev Ridge of Arctic AMD_KOPRI STAC Catalog 2013-08-21 2013-09-25 -179.715167, 69.988167, -134.155167, 77.500667 https://cmr.earthdata.nasa.gov/search/concepts/C2244293267-AMD_KOPRI.umm_json An intensive oceanographic survey was conducted during 19 days from 2013 September 7 to September 27 by IBRV ARAON to measure the spatial and temporal variation of water masses in the Chukchi Borderland/Mendeleev Ridge. The profiles of temperature, salinity and depth were obtained using CTD/Rosette system at 16 stations. To investigate the variability in spatial and temporal distribution of water masses and understand its transformation along the pathways and relationship with sea ice melting in the Chukchi Borderland/Mendeleev Ridge. proprietary
KOPRI-KPDC-00000464_1 2013 CTD Data, in Chukchi Borderland/Mendeleev Ridge of Arctic ALL STAC Catalog 2013-08-21 2013-09-25 -179.715167, 69.988167, -134.155167, 77.500667 https://cmr.earthdata.nasa.gov/search/concepts/C2244293267-AMD_KOPRI.umm_json An intensive oceanographic survey was conducted during 19 days from 2013 September 7 to September 27 by IBRV ARAON to measure the spatial and temporal variation of water masses in the Chukchi Borderland/Mendeleev Ridge. The profiles of temperature, salinity and depth were obtained using CTD/Rosette system at 16 stations. To investigate the variability in spatial and temporal distribution of water masses and understand its transformation along the pathways and relationship with sea ice melting in the Chukchi Borderland/Mendeleev Ridge. proprietary
KOPRI-KPDC-00000465_1 2013 LADCP Data, in Chukchi Borderland, Arctic ALL STAC Catalog 2013-08-21 2013-09-25 179.715167, 69.988167, 178.9955, 77.5 https://cmr.earthdata.nasa.gov/search/concepts/C2244293569-AMD_KOPRI.umm_json An intensive oceanographic survey was conducted during 15 days from 2013 August 21 to September 4 by IBRV ARAON to measure the spatial and temporal variation of water masses in the Chukchi Borderland/Mendeleev Ridge. The seawater temperature patten was observed using LADCP and ADCP. To investigate the variability in spatial and temporal distribution of water masses and and understand its transformation along the pathways and relationship with sea ice melting in the Chukchi Borderland/Mendeleev Ridge. proprietary
@@ -8763,8 +8765,8 @@ KOPRI-KPDC-00000471_2 Estimation of POC and Biogenic silica export fluxes using
KOPRI-KPDC-00000472_1 Marine sediment core samples from the western Arctic expedition in 2013 AMD_KOPRI STAC Catalog 2013-08-24 2013-09-25 -178.761503, 69.970997, -134.604662, 77.503838 https://cmr.earthdata.nasa.gov/search/concepts/C2244294915-AMD_KOPRI.umm_json Marine geology program is conducted during the 4th ARAON Arctic Expedition in 2013. Geological stations were selected based on the study objectives, and their locations were specified using multi-beam bathymetric mapping and sub-bottom profiles. Coring was carried out using several devices. To retrieve the sediment cores at selected geological and oceanographic stations we used different coring gears such as box corer, multiple corers and gravity corer. A box corer (BOX) (50x50x60cm) and a multiple corer (MUC) with 8 tubes were used to obtain surface sediments. For relatively long sediment cores, we used a gravity corer (GC) with 3 or 6-m long barrel. Once retrieved on deck, gravity cores were cut up in lengths of 1.5m and labeled. Overall goal of marine geology for the 4th ARAON Arctic cruise is to take new and undisturbed sediment cores from the selected research target areas including the East Siberian-Chukchi Sea and Beaufort Sea in the western Arctic Ocean. To achieve the study objectives we employed the following geological/geophysical methods: 1) coring seafloor sediment with a gravity corer for sediment composition and stratigraphy (up to ~5 m deep), 2) coring with a multiple corer/box corer for modern/recent seafloor processes. proprietary
KOPRI-KPDC-00000473_1 Araon-based Antarctic Peninsula expedition, 2013 AMD_KOPRI STAC Catalog 2013-04-04 2013-05-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244294929-AMD_KOPRI.umm_json We conducted Araon-based expedition on the western and eastern Antarctic Peninsula and build up ice-shelf monitoring system. Main coring equipment is gravity corer and after half-cut of sediment cores we measured MS, XRF from ITRAX core scanner on cruise. During the expedition, we have some chance to take new geophysical information at Bigo & Leroux bays and off Larsen C ice shelf. (1) to establish an monitoring system for ice shelf movements (2) to reconstruct the environmental changes caused by past climatic changes in the ice shelf area (West Antarctica). proprietary
KOPRI-KPDC-00000474_1 Primary productivity in the Amundsen Sea, 2012 AMD_KOPRI STAC Catalog 2012-02-10 2012-03-10 -137.183, -75.087, -101.759, -71.417 https://cmr.earthdata.nasa.gov/search/concepts/C2244294941-AMD_KOPRI.umm_json To estimate carbon and nitrogen uptake of phytoplankton at different locations, productivity experiments were executed by incubating phytoplankton in the incubators on the deck for 3-4 hours after stable isotopes (13C, 15NO3, and 15NH4) as tracers were inoculated into each bottle. Total 18 productivity experiments were completed during this cruise. At every CTD station, the productivity samples were collected by CTD rosette water samplers at 6 different light depths (100, 30, 12, 5 and 1%). To understand the spatial distribution of phytoplankton productivity and to assess effect of climate change on ocean ecosystem through studying ecological and physiological for phytoplankton in the Amundsen Sea, Antarctica proprietary
-KOPRI-KPDC-00000475_1 Air-sea turbulent fluxes on the Arctic of 2010 (ARA01B) AMD_KOPRI STAC Catalog 2010-07-16 2010-08-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244294998-AMD_KOPRI.umm_json On board turbulent fluxes of CO2 and energy were measured during the cruise in the Chukchi Borderland in boreal summer of 2010. Eddy covariance system, consisting of 3-D sonic anemometer, open-path CO2/H2O gas analyzer was used for the measurement. Motion sensor was added to the flux system to remove the effect of ship motion on the fluxes. Data were recorded on a data logger with sampling rate of 10 Hz. To better understanding the role of Chukchi sea in global climate change and to quantify air-sea flux of energy and green house gases by direct measurement of turbulent fluxes. proprietary
KOPRI-KPDC-00000475_1 Air-sea turbulent fluxes on the Arctic of 2010 (ARA01B) ALL STAC Catalog 2010-07-16 2010-08-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244294998-AMD_KOPRI.umm_json On board turbulent fluxes of CO2 and energy were measured during the cruise in the Chukchi Borderland in boreal summer of 2010. Eddy covariance system, consisting of 3-D sonic anemometer, open-path CO2/H2O gas analyzer was used for the measurement. Motion sensor was added to the flux system to remove the effect of ship motion on the fluxes. Data were recorded on a data logger with sampling rate of 10 Hz. To better understanding the role of Chukchi sea in global climate change and to quantify air-sea flux of energy and green house gases by direct measurement of turbulent fluxes. proprietary
+KOPRI-KPDC-00000475_1 Air-sea turbulent fluxes on the Arctic of 2010 (ARA01B) AMD_KOPRI STAC Catalog 2010-07-16 2010-08-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244294998-AMD_KOPRI.umm_json On board turbulent fluxes of CO2 and energy were measured during the cruise in the Chukchi Borderland in boreal summer of 2010. Eddy covariance system, consisting of 3-D sonic anemometer, open-path CO2/H2O gas analyzer was used for the measurement. Motion sensor was added to the flux system to remove the effect of ship motion on the fluxes. Data were recorded on a data logger with sampling rate of 10 Hz. To better understanding the role of Chukchi sea in global climate change and to quantify air-sea flux of energy and green house gases by direct measurement of turbulent fluxes. proprietary
KOPRI-KPDC-00000476_1 Air-sea turbulent fluxes on the Amundsen Sea of 2011 (ANA01C) ALL STAC Catalog 2010-12-21 2011-01-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295011-AMD_KOPRI.umm_json On board turbulent fluxes of CO2 and energy were measured during the cruise in the Amundsen Sea in summer of 2011. Eddy covariance system, consisting of 3-D sonic anemometer, open-path CO2/H2O gas analyzer was used for the measurement. Motion sensor was added to the flux system to remove the effect of ship motion on the fluxes. Data were recorded on a data logger with sampling rate of 10 Hz. To better understanding the role of Amundsen sea in global climate change and to quantify air-sea flux of energy and green house gases by direct measurement of turbulent fluxes. proprietary
KOPRI-KPDC-00000476_1 Air-sea turbulent fluxes on the Amundsen Sea of 2011 (ANA01C) AMD_KOPRI STAC Catalog 2010-12-21 2011-01-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295011-AMD_KOPRI.umm_json On board turbulent fluxes of CO2 and energy were measured during the cruise in the Amundsen Sea in summer of 2011. Eddy covariance system, consisting of 3-D sonic anemometer, open-path CO2/H2O gas analyzer was used for the measurement. Motion sensor was added to the flux system to remove the effect of ship motion on the fluxes. Data were recorded on a data logger with sampling rate of 10 Hz. To better understanding the role of Amundsen sea in global climate change and to quantify air-sea flux of energy and green house gases by direct measurement of turbulent fluxes. proprietary
KOPRI-KPDC-00000477_2 O2/Ar of surface water measured using an equilibrator inlet mass spectrometer (2010.12-2011.01) AMD_KOPRI STAC Catalog 2010-12-26 2011-01-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244307200-AMD_KOPRI.umm_json O2/Ar in seawater, pumped from the intake at 7 m below sea level, was measured using an equilibrator inlet mass spectrometer. The mass spectrometer measured a series of dissolved gases including O2 and Ar every 10 seconds. The data contain ion currents of those gases and total pressure in the mass spectrometer. Net community production (NCP), defined as the difference between autotrophic photosynthesis and (autrophic and heterotrophic) respiration, produces O2 proportional to the amount of net carbon. By measuring chemically and biologically inert Ar together with O2, it is possible to isolate O2 variation by physical processes (e.g., air temperature and pressure change and mixing of water masses) and deduce O2 variation by biological processes. To determine the net community (oxygen) production underway, we measured continuous O2/ Ar measurement system using an equilibrator inlet mass spectrometer. proprietary
@@ -8817,12 +8819,12 @@ KOPRI-KPDC-00000521_1 RS15_LC62 AMD_KOPRI STAC Catalog 2015-09-30 2015-09-30 -18
KOPRI-KPDC-00000522_1 Soil and Fresh/Sea water samples from Barton Peninsular collected in 2014-2015 AMD_KOPRI STAC Catalog 2015-01-18 2015-02-18 -58.76666, -62.21666, -58.76666, -62.21666 https://cmr.earthdata.nasa.gov/search/concepts/C2244300714-AMD_KOPRI.umm_json Analysis of microbial community structure and diversity in soil and water samples from Barton Peninsular in Antarctica Investigation to the terrestrial biodiversity in Barton Peninsular for the monitoring by environment change proprietary
KOPRI-KPDC-00000523_2 2015 ARAON Arctic geological expedition: Box Core(BC) sediment data AMD_KOPRI STAC Catalog 2015-08-27 2015-09-06 178.870742, 73.620362, 176.540425, 76.602687 https://cmr.earthdata.nasa.gov/search/concepts/C2244307210-AMD_KOPRI.umm_json A total of 7 geological stations were chosen to obtain box core sediments based on previously collected data for geophysical records, providing age control, and investigating paleoceanographic environments. Retrieved cores were described, photographed, and logged on the Geotek Multi-Sensor Core Logger. Detailed analyses such as stable isotopes of planktonic and benthic foraminifers, organic geochemistr0y, biogenic opal contents, microfossils and biomarkers will be performed after this expedition. The overall objective of coring using the box core during cruise ARA06C was to obtain sediment records to constrain, and thus better understand, the timing and chronology of marine glaciations along the East-Siberian and Chukchi continental margins. proprietary
KOPRI-KPDC-00000523_2 2015 ARAON Arctic geological expedition: Box Core(BC) sediment data ALL STAC Catalog 2015-08-27 2015-09-06 178.870742, 73.620362, 176.540425, 76.602687 https://cmr.earthdata.nasa.gov/search/concepts/C2244307210-AMD_KOPRI.umm_json A total of 7 geological stations were chosen to obtain box core sediments based on previously collected data for geophysical records, providing age control, and investigating paleoceanographic environments. Retrieved cores were described, photographed, and logged on the Geotek Multi-Sensor Core Logger. Detailed analyses such as stable isotopes of planktonic and benthic foraminifers, organic geochemistr0y, biogenic opal contents, microfossils and biomarkers will be performed after this expedition. The overall objective of coring using the box core during cruise ARA06C was to obtain sediment records to constrain, and thus better understand, the timing and chronology of marine glaciations along the East-Siberian and Chukchi continental margins. proprietary
-KOPRI-KPDC-00000524_2 2015 ARAON Arctic geological expedition: Multi Core(MUC) sediment data AMD_KOPRI STAC Catalog 2015-08-27 2015-09-06 178.870742, 73.620362, -161.168018, 76.602687 https://cmr.earthdata.nasa.gov/search/concepts/C2244307215-AMD_KOPRI.umm_json A total of 6 geological stations were chosen to obtain multi core sediments based on previously collected data for geophysical records, providing age control, and investigating paleoceanographic environments. Retrieved cores were described, photographed, and logged on the Geotek Multi-Sensor Core Logger. Detailed analyses such as stable isotopes of planktonic and benthic foraminifers, organic geochemistry, biogenic opal contents, microfossils and biomarkers will be performed after this expedition. The overall objective of coring using the multi core during cruise ARA06C was to obtain sediment records to constrain, and thus better understand, the timing and chronology of marine glaciations along the East-Siberian and Chukchi continental margins. proprietary
KOPRI-KPDC-00000524_2 2015 ARAON Arctic geological expedition: Multi Core(MUC) sediment data ALL STAC Catalog 2015-08-27 2015-09-06 178.870742, 73.620362, -161.168018, 76.602687 https://cmr.earthdata.nasa.gov/search/concepts/C2244307215-AMD_KOPRI.umm_json A total of 6 geological stations were chosen to obtain multi core sediments based on previously collected data for geophysical records, providing age control, and investigating paleoceanographic environments. Retrieved cores were described, photographed, and logged on the Geotek Multi-Sensor Core Logger. Detailed analyses such as stable isotopes of planktonic and benthic foraminifers, organic geochemistry, biogenic opal contents, microfossils and biomarkers will be performed after this expedition. The overall objective of coring using the multi core during cruise ARA06C was to obtain sediment records to constrain, and thus better understand, the timing and chronology of marine glaciations along the East-Siberian and Chukchi continental margins. proprietary
+KOPRI-KPDC-00000524_2 2015 ARAON Arctic geological expedition: Multi Core(MUC) sediment data AMD_KOPRI STAC Catalog 2015-08-27 2015-09-06 178.870742, 73.620362, -161.168018, 76.602687 https://cmr.earthdata.nasa.gov/search/concepts/C2244307215-AMD_KOPRI.umm_json A total of 6 geological stations were chosen to obtain multi core sediments based on previously collected data for geophysical records, providing age control, and investigating paleoceanographic environments. Retrieved cores were described, photographed, and logged on the Geotek Multi-Sensor Core Logger. Detailed analyses such as stable isotopes of planktonic and benthic foraminifers, organic geochemistry, biogenic opal contents, microfossils and biomarkers will be performed after this expedition. The overall objective of coring using the multi core during cruise ARA06C was to obtain sediment records to constrain, and thus better understand, the timing and chronology of marine glaciations along the East-Siberian and Chukchi continental margins. proprietary
KOPRI-KPDC-00000525_2 2015 ARAON Arctic geological expedition: Gravity Core(GC) sediment data ALL STAC Catalog 2015-08-27 2015-09-06 -166.51978, 73.620935, -166.432032, 73.634698 https://cmr.earthdata.nasa.gov/search/concepts/C2244307223-AMD_KOPRI.umm_json A total of 3 geological stations were chosen to obtain box core sediments based on previously collected data for geophysical records, providing age control, and investigating paleoceanographic environments. Retrieved cores were described, photographed, and logged on the Geotek Multi-Sensor Core Logger. Detailed analyses such as stable isotopes of planktonic and benthic foraminifers, organic geochemistr0y, biogenic opal contents, microfossils and biomarkers will be performed after this expedition. The overall objective of coring using the box core during cruise ARA06C was to obtain sediment records to constrain, and thus better understand, the timing and chronology of marine glaciations along the East-Siberian and Chukchi continental margins. proprietary
KOPRI-KPDC-00000525_2 2015 ARAON Arctic geological expedition: Gravity Core(GC) sediment data AMD_KOPRI STAC Catalog 2015-08-27 2015-09-06 -166.51978, 73.620935, -166.432032, 73.634698 https://cmr.earthdata.nasa.gov/search/concepts/C2244307223-AMD_KOPRI.umm_json A total of 3 geological stations were chosen to obtain box core sediments based on previously collected data for geophysical records, providing age control, and investigating paleoceanographic environments. Retrieved cores were described, photographed, and logged on the Geotek Multi-Sensor Core Logger. Detailed analyses such as stable isotopes of planktonic and benthic foraminifers, organic geochemistr0y, biogenic opal contents, microfossils and biomarkers will be performed after this expedition. The overall objective of coring using the box core during cruise ARA06C was to obtain sediment records to constrain, and thus better understand, the timing and chronology of marine glaciations along the East-Siberian and Chukchi continental margins. proprietary
-KOPRI-KPDC-00000526_2 2015 ARAON Arctic geological expedition: Jumbo piston core (JPC) sediment data ALL STAC Catalog 2015-08-27 2015-09-06 178.734385, 73.620362, -161.168018, 76.602687 https://cmr.earthdata.nasa.gov/search/concepts/C2244307203-AMD_KOPRI.umm_json A total of 4 geological stations were chosen to obtain Jumbo piston core sediments based on previously collected data for geophysical records, providing age control, and investigating paleoceanographic environments. Retrieved cores were described, photographed, and logged on the Geotek Multi-Sensor Core Logger. Detailed analyses such as stable isotopes of planktonic and benthic foraminifers, organic geochemistr0y, biogenic opal contents, microfossils and biomarkers will be performed after this expedition. The overall objective of coring using the Jumbo Piston Corer during cruise ARA06C was to obtain longer records of sediments to constrain, and thus better understand, the timing and chronology of marine glaciations along the East-Siberian and Chukchi continental margins. proprietary
KOPRI-KPDC-00000526_2 2015 ARAON Arctic geological expedition: Jumbo piston core (JPC) sediment data AMD_KOPRI STAC Catalog 2015-08-27 2015-09-06 178.734385, 73.620362, -161.168018, 76.602687 https://cmr.earthdata.nasa.gov/search/concepts/C2244307203-AMD_KOPRI.umm_json A total of 4 geological stations were chosen to obtain Jumbo piston core sediments based on previously collected data for geophysical records, providing age control, and investigating paleoceanographic environments. Retrieved cores were described, photographed, and logged on the Geotek Multi-Sensor Core Logger. Detailed analyses such as stable isotopes of planktonic and benthic foraminifers, organic geochemistr0y, biogenic opal contents, microfossils and biomarkers will be performed after this expedition. The overall objective of coring using the Jumbo Piston Corer during cruise ARA06C was to obtain longer records of sediments to constrain, and thus better understand, the timing and chronology of marine glaciations along the East-Siberian and Chukchi continental margins. proprietary
+KOPRI-KPDC-00000526_2 2015 ARAON Arctic geological expedition: Jumbo piston core (JPC) sediment data ALL STAC Catalog 2015-08-27 2015-09-06 178.734385, 73.620362, -161.168018, 76.602687 https://cmr.earthdata.nasa.gov/search/concepts/C2244307203-AMD_KOPRI.umm_json A total of 4 geological stations were chosen to obtain Jumbo piston core sediments based on previously collected data for geophysical records, providing age control, and investigating paleoceanographic environments. Retrieved cores were described, photographed, and logged on the Geotek Multi-Sensor Core Logger. Detailed analyses such as stable isotopes of planktonic and benthic foraminifers, organic geochemistr0y, biogenic opal contents, microfossils and biomarkers will be performed after this expedition. The overall objective of coring using the Jumbo Piston Corer during cruise ARA06C was to obtain longer records of sediments to constrain, and thus better understand, the timing and chronology of marine glaciations along the East-Siberian and Chukchi continental margins. proprietary
KOPRI-KPDC-00000527_1 Shallow ice core drilled at Styx glacier, Antarctic, in 2015 AMD_KOPRI STAC Catalog 2015-10-06 2015-10-06 163.687, -73.851667, 163.687, -73.851667 https://cmr.earthdata.nasa.gov/search/concepts/C2244300726-AMD_KOPRI.umm_json Shallow ice cores drilled from the Styx glacier about 85 km north of the Jang Bogo station in the 2014-2015 summer season, and a 210.5 m long ice core was taken. The age at the bottom of the ice core was estimated to be 1.36 ka based on the depth-density profile and on the temperature at 15 m depth. Reconstruction of past climate and environmental change such as Ross sea ice extent and greenhouse gases proprietary
KOPRI-KPDC-00000528_1 Structural basis for the ligand-binding specificity of fatty acid-binding proteins (pFABP4 and pFABP5) in gentoo penguin AMD_KOPRI STAC Catalog 2015-10-06 2015-10-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244300787-AMD_KOPRI.umm_json The fatty acid-binding proteins (FABPs) are involved in transporting hydrophobic fatty acids between various aqueous compartments of the cell by direct binding of ligands inside their β-barrel cavities. Here, we report the crystal structures of ligand-unbound pFABP4, linoleate-bound pFABP4 and palmitate-bound pFABP5 from the gentoo penguin (Pygoscelis papua) at 2.1, 2.2, and 2.3 Å resolutions, respectively. The pFABP4 and pFABP5 proteins comprise a canonical β-barrel structure with two short α-helices forming a cap region and fatty acid ligand binds in the hydrophobic cavity inside the β-barrel structure. The two linoleate-bound pFABP4 and palmitate-bound pFABP5 structures shows a different ligand-binding mode and a unique ligand-binding pocket caused by several sequence differences (A76/L78, T30/M32, underlining used to indicate pFABP4 residues). Structural comparison also shows a significantly different conformation change in the β3-β4 loop region (residues 57-62) of pFABP5 as well as flipped Phe60 residue (the corresponding residue in pFABP4 is Phe58). Moreover, a ligand-binding study using fluorophore displacement assays indicated that pFABP4 has a relatively strong affinity to linoleate compared with pFABP5. In contrast, pFABP5 clearly exhibits higher affinity for the palmitate compared with pFABP4. Conclusively, our high-resolution structures and ligand-binding study provide useful insights into the ligand-binding preferences of pFABPs based on key protein-ligand interactions. To investigate mechanism of fatty acid transfer, we have carried out structural studies. As the first step toward its structural elucidation, we report the results of preliminary X-ray crystallographic experiments with pFABP4, pFABP4-Linoleate and pFABP5-Palmitate. proprietary
KOPRI-KPDC-00000529_1 Crystal structure of UbiX, an aromatic acid decarboxylase from the psychrophilic bacterium Colwellia psychrerythraea that undergoes FMN-induced conformational changes AMD_KOPRI STAC Catalog 2015-10-06 2015-10-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244300802-AMD_KOPRI.umm_json The ubiX gene of Colwellia psychrerythraea strain 34H encodes a 3-octaprenyl-4-hydroxybenzoate carboxylase (CpsUbiX, UniProtKB code: Q489U8) that is involved in the third step of the ubiquinone biosynthesis pathway and uses flavin mononucleotide (FMN) as a cofactor. Here, we report the crystal structures of two forms of CpsUbiX: an FMN-bound wild type form and an FMN-unbound V47S mutant form. CpsUbiX is a dodecameric enzyme, and each monomer possesses a typical Rossmann-fold structure. However, to our knowledge, the architecture of the FMN-binding domain formed by three neighboring subunits described here is novel and unique to UbiX. The highly conserved Gly15, Ser41, Val47, and Tyr171 residues play important roles in FMN binding. Structural comparison of the FMN-bound wild type form with the FMN-free form revealed a significant conformational difference in the C-terminal loop region (comprising residues 170–177 and 195–206). Subsequent computational modeling and liposome binding assay both suggested that the conformational change observed in the C-terminal loops upon FMN binding plays an important role in substrate binding. The crystal structures presented in this work provide structural framework and insights into the catalytic mechanism of CpsUbiX. To investigate FMN binding mechanism, we have carried out structural studies. As the first step toward its structural elucidation, we report the results of preliminary X-ray crystallographic experiments with CpsUbiX with or without (V47S) cofactor FMN. proprietary
@@ -8864,8 +8866,8 @@ KOPRI-KPDC-00000564_1 Upper atmospheric temperature data obtained from OH emissi
KOPRI-KPDC-00000565_1 Upper atmospheric temperature data obtained from OH and O2 emissions at King Sejong Station, Antarctica at 2013 AMD_KOPRI STAC Catalog 2013-02-27 2013-10-31 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244299516-AMD_KOPRI.umm_json Upper atmospheric temperature measurements around 87~95 km altitude in the mesosphere and lower thermosphere (MLT) region Long-term monitoring of the upper atmospheric temperature changes over the southern high latitude region for the study of thermal structure and dynamics in the MLT region proprietary
KOPRI-KPDC-00000566_1 Upper atmospheric temperature data obtained from OH and O2 emissions at King Sejong Station, Antarctica at 2015 AMD_KOPRI STAC Catalog 2015-02-16 2015-09-30 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244299874-AMD_KOPRI.umm_json Upper atmospheric temperature measurements around 87~95 km altitude in the mesosphere and lower thermosphere (MLT) region Long-term monitoring of the upper atmospheric temperature changes over the southern high latitude region for the study of thermal structure and dynamics in the MLT region proprietary
KOPRI-KPDC-00000567_1 Neutral winds and temperature data in the MLT region at King Sejong Station, Antarctica at 2015 AMD_KOPRI STAC Catalog 2015-01-01 2015-09-30 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244300211-AMD_KOPRI.umm_json Neutral winds and temperature measurements around 70~110 km altitude obtained from the meteor observations at King Sejong Station, Antarctica Long-term monitoring of the neutral winds and temperature changes over the southern high-latitude region for the study of upper atmospheric thermal structure and dynamics in the MLT region proprietary
-KOPRI-KPDC-00000568_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2013 ALL STAC Catalog 2013-03-01 2013-10-31 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244300442-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude MLT region proprietary
KOPRI-KPDC-00000568_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2013 AMD_KOPRI STAC Catalog 2013-03-01 2013-10-31 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244300442-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude MLT region proprietary
+KOPRI-KPDC-00000568_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2013 ALL STAC Catalog 2013-03-01 2013-10-31 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244300442-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude MLT region proprietary
KOPRI-KPDC-00000569_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2015 AMD_KOPRI STAC Catalog 2015-02-16 2015-09-30 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244300546-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude MLT region proprietary
KOPRI-KPDC-00000569_1 All-Sky image data of the airglow emissions at King Sejong Station, Antarctica at 2015 ALL STAC Catalog 2015-02-16 2015-09-30 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244300546-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude MLT region proprietary
KOPRI-KPDC-00000570_1 Neutral wind data from FPI installed at Jang Bogo Station, Antarctica at 2014 AMD_KOPRI STAC Catalog 2014-03-10 2014-10-11 164.14, -74.37, 164.14, -74.37 https://cmr.earthdata.nasa.gov/search/concepts/C2244300605-AMD_KOPRI.umm_json Horizontal neutral wind around 87km, 97km, 250km measured from FPI instrument at Jang Bogo Station, Antarctica Study of the atmospheric wave activities in MLT and thermosphere regions over the southern high-latitude proprietary
@@ -8887,14 +8889,14 @@ KOPRI-KPDC-00000585_1 Soil moisture and temperature data collected from climate
KOPRI-KPDC-00000586_1 Permafrost core samples in Council, Alaska, USA in 2014 AMD_KOPRI STAC Catalog 2015-12-21 2015-12-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244301145-AMD_KOPRI.umm_json Nine permafrost core samples were collected in Council, Alaska. Three sampling sites were determined by soil resistivity test, and three replicates were collected in each site. Soil core was about 1.1 – 1.5 m in length. Soil microbial community and physical and chemical properties will be analyzed. To investigate the differences of microbial community structure and soil physical and chemical properties 1) between active and permafrost layers and 2) among soils showing different resistivity. proprietary
KOPRI-KPDC-00000587_1 Eddy covariance data of Alaska permafrost site in 2014 AMD_KOPRI STAC Catalog 2014-04-01 2014-11-01 -163.705333, 64.843333, -163.705333, 64.843333 https://cmr.earthdata.nasa.gov/search/concepts/C2244295657-AMD_KOPRI.umm_json Turbulent fluxes of momentum, heat, water vapor, and CO2 had been measured during summertime in 2014 at Council, Alaska. Eddy covariance system, consisting of 3-D sonic anemometer and open-path CO2/H2O gas analyzer was used for the measurement. Data were recorded with CR3000 logger with sampling rate of 10 Hz. To monitor and understand energy/water/green-house-gas flux over permafrost region proprietary
KOPRI-KPDC-00000588_1 Methane flux data of Alaska permafrost site in 2014 AMD_KOPRI STAC Catalog 2014-07-10 2014-07-23 -163.705333, 64.843333, -163.705333, 64.843333 https://cmr.earthdata.nasa.gov/search/concepts/C2244295661-AMD_KOPRI.umm_json High-frequency methane concentration was measured in July 2014 at Council, Alaska. Along with atmospheric turbulence data from 3-D sonic anemometer, methane flux was obtained at 30-minute interval. To monitor and understand methane flux over permafrost region proprietary
-KOPRI-KPDC-00000589_1 Air temperature and humidity in Cambridge Bay, Canada in 2012 AMD_KOPRI STAC Catalog 2012-07-11 2013-08-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295675-AMD_KOPRI.umm_json Air temperature and humidity at 25 cm above the surface from the climate manipulation plots (increasing temperature and precipitation) To monitor the changes in micro-climate properties in air by increasing temperature and precipitation proprietary
KOPRI-KPDC-00000589_1 Air temperature and humidity in Cambridge Bay, Canada in 2012 ALL STAC Catalog 2012-07-11 2013-08-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295675-AMD_KOPRI.umm_json Air temperature and humidity at 25 cm above the surface from the climate manipulation plots (increasing temperature and precipitation) To monitor the changes in micro-climate properties in air by increasing temperature and precipitation proprietary
+KOPRI-KPDC-00000589_1 Air temperature and humidity in Cambridge Bay, Canada in 2012 AMD_KOPRI STAC Catalog 2012-07-11 2013-08-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295675-AMD_KOPRI.umm_json Air temperature and humidity at 25 cm above the surface from the climate manipulation plots (increasing temperature and precipitation) To monitor the changes in micro-climate properties in air by increasing temperature and precipitation proprietary
KOPRI-KPDC-00000590_1 Soil samples after one year of climate manipulation AMD_KOPRI STAC Catalog 2013-07-31 2013-08-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295694-AMD_KOPRI.umm_json Soil samples from climate manipulation plots after one year of warming and increasing precipitation To determine the effects of climate change on soil properties and microbial diversity proprietary
KOPRI-KPDC-00000591_1 Soil samples after three years of climate manipulation AMD_KOPRI STAC Catalog 2015-07-29 2015-08-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295728-AMD_KOPRI.umm_json Soil samples from climate manipulation plots after three years of warming and increasing precipitation To determine the effects of climate change on soil properties and microbial structure and function proprietary
KOPRI-KPDC-00000592_1 Air temperature and humidity in Cambridge Bay, Canada in 2013 AMD_KOPRI STAC Catalog 2013-08-01 2014-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295766-AMD_KOPRI.umm_json Air temperature and humidity at 25 cm above the surface from the climate manipulation plots (increasing temperature and precipitation in 2013 To monitor the changes in micro-climate properties in air by increasing temperature and precipitation proprietary
KOPRI-KPDC-00000592_1 Air temperature and humidity in Cambridge Bay, Canada in 2013 ALL STAC Catalog 2013-08-01 2014-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244295766-AMD_KOPRI.umm_json Air temperature and humidity at 25 cm above the surface from the climate manipulation plots (increasing temperature and precipitation in 2013 To monitor the changes in micro-climate properties in air by increasing temperature and precipitation proprietary
-KOPRI-KPDC-00000593_1 Air temperature and humidity in Cambridge Bay, Canada in 2014 ALL STAC Catalog 2014-06-01 2015-08-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244296042-AMD_KOPRI.umm_json Air temperature and humidity at 25 cm above the surface from the climate manipulation plots (increasing temperature and precipitation) in 2014 To monitor the changes in micro-climate properties in air by increasing temperature and precipitation proprietary
KOPRI-KPDC-00000593_1 Air temperature and humidity in Cambridge Bay, Canada in 2014 AMD_KOPRI STAC Catalog 2014-06-01 2015-08-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244296042-AMD_KOPRI.umm_json Air temperature and humidity at 25 cm above the surface from the climate manipulation plots (increasing temperature and precipitation) in 2014 To monitor the changes in micro-climate properties in air by increasing temperature and precipitation proprietary
+KOPRI-KPDC-00000593_1 Air temperature and humidity in Cambridge Bay, Canada in 2014 ALL STAC Catalog 2014-06-01 2015-08-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244296042-AMD_KOPRI.umm_json Air temperature and humidity at 25 cm above the surface from the climate manipulation plots (increasing temperature and precipitation) in 2014 To monitor the changes in micro-climate properties in air by increasing temperature and precipitation proprietary
KOPRI-KPDC-00000594_1 Soil moisture and temperature data collected from climate manipulation plots in Cambridge Bay, Canada in 2013 AMD_KOPRI STAC Catalog 2013-08-01 2014-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244296351-AMD_KOPRI.umm_json Soil volumetric moisture content and temperature for 5 cm depth from climate manipulation (combination of warming and precipitation) plots in 2013 To monitor the changes in micro-climate properties in soil by increasing temperature by open top chambers and increasing precipitation proprietary
KOPRI-KPDC-00000595_1 Soil moisture and temperature data collected from climate manipulation plots in Cambridge Bay, Canada in 2014 AMD_KOPRI STAC Catalog 2014-06-01 2015-08-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244296625-AMD_KOPRI.umm_json Soil moisture and temperature data collected from climate manipulation plots in Cambridge Bay, Canada in 2014 proprietary
KOPRI-KPDC-00000596_1 Fossil specimens of Northern Victoria Land, 2014-2015 season AMD_KOPRI STAC Catalog 2015-12-30 2015-12-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244296805-AMD_KOPRI.umm_json This entry is for the fossil specimens of Northern Victoria Land (NVL), Antarctica collected in 2014-15 austral summer season. The collection includes trilobites of the Lower Paleozoic Bowers Supergroup and plant fossils of the Beacon Supergroup. Information from the fossils will be helpful for understanding geological processes and paleoenvironments of the Northern Victoria Land. proprietary
@@ -8977,8 +8979,8 @@ KOPRI-KPDC-00000670_1 Nano-SMPS data AMD_KOPRI STAC Catalog 2016-11-15 2016-11-1
KOPRI-KPDC-00000671_1 Meteorological data over the Northern Hemisphere using WRF model AMD_KOPRI STAC Catalog 2008-05-01 2008-08-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244299016-AMD_KOPRI.umm_json Meteorological data are obtained from the Weather Research and Forecasting (WRF) v3.4.1 model in conjunction with NCEP reanalyzed data during the 4 months from May to August 2008. The data are provides on an hourly basis. The WRF domain covers the areas of Northern Hemisphere with 54x54 km^2 horizontal resolution. Meteorological input data for 3D- chemistry and transport model modeling proprietary
KOPRI-KPDC-00000672_1 Soil enzyme activities before and 1, 3 years after climate manipulation AMD_KOPRI STAC Catalog 2016-11-17 2016-11-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244299362-AMD_KOPRI.umm_json Activities of Hydrolases (beta-glucosidase, cellobiase, N-acetyl-glucosaminidase, and aminopeptidase) and phenol oxidase in soil under warming and precipitation increase Ancillary data including dissolved organic carbon (DOC) content, specific UV absorbance (SUVA), and carbon stable isotope ratio of plant leaves To determine the effects of climate change on soil enzyme activities that is related to decomposition proprietary
KOPRI-KPDC-00000673_1 CO2 and CH4 fluxes before and 1, 3 years after climate manipulation AMD_KOPRI STAC Catalog 2016-11-17 2016-11-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244299684-AMD_KOPRI.umm_json Snapshot of CO2 and CH4 fluxes between soil and atmosphere under warming and precipitation increase Abundance of methanogen and methanotroph in soil under warming and precipitation increase To determine the effects of climate change on GHGs flux proprietary
-KOPRI-KPDC-00000674_1 Air temperature and air humidity data collected from climate manipulation plots in Cambridge Bay, Canada in 2016 AMD_KOPRI STAC Catalog 2016-06-17 2016-06-27 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300011-AMD_KOPRI.umm_json Micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 1 year (2015.06~2016.06) were collected. To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation proprietary
KOPRI-KPDC-00000674_1 Air temperature and air humidity data collected from climate manipulation plots in Cambridge Bay, Canada in 2016 ALL STAC Catalog 2016-06-17 2016-06-27 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300011-AMD_KOPRI.umm_json Micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 1 year (2015.06~2016.06) were collected. To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation proprietary
+KOPRI-KPDC-00000674_1 Air temperature and air humidity data collected from climate manipulation plots in Cambridge Bay, Canada in 2016 AMD_KOPRI STAC Catalog 2016-06-17 2016-06-27 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300011-AMD_KOPRI.umm_json Micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 1 year (2015.06~2016.06) were collected. To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation proprietary
KOPRI-KPDC-00000675_1 Soil moisture and soil temperature data collected from climate manipulation plots in Cambridge Bay, Canada in 2016 AMD_KOPRI STAC Catalog 2016-06-17 2016-06-27 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300267-AMD_KOPRI.umm_json Micro-climate data (soil volumetric content and temperature for 5 cm depth) from climate manipulation (combination of warming and precipitation) plots for 1 year (2015.06~2016.06) were collected. To monitor the changes in micro-climate properties in soil by increasing temperature by open top chambers and increasing precipitation proprietary
KOPRI-KPDC-00000676_1 Permafrost core samples in Council, Alaska, USA in 2016 AMD_KOPRI STAC Catalog 2016-08-24 2016-08-31 -165, 64, -165, 64 https://cmr.earthdata.nasa.gov/search/concepts/C2244300480-AMD_KOPRI.umm_json Bulk and core samples from four sites of tussock and inter-tussock areas were collected in August. 2016. In the active layer, soil pits were made and bulk samples were collected from the face of opened pits. After describing soil profiles in the active layer, soil cores were acquired by SIPRI corer. In most sampling points, about 2-m deep soil samples were collected. To conduct laboratory soil incubation study proprietary
KOPRI-KPDC-00000677_1 Eddy covariance data of Alaska permafrost site in 2016 AMD_KOPRI STAC Catalog 2016-04-21 2016-09-22 -163.705333, 64.843333, -163.705333, 64.843333 https://cmr.earthdata.nasa.gov/search/concepts/C2244300555-AMD_KOPRI.umm_json Turbulent fluxes of momentum, heat, water vapor, and CO2 had been measured from late April to September 2016 at Council, Alaska. Eddy covariance system, consisting of 3-D sonic anemometer and open-path CO2/H2O gas analyzer was used for the measurement. Data were recorded with CR3000 logger with sampling rate of 10 Hz. To monitor and understand energy/water/green-house-gas flux over permafrost region proprietary
@@ -9074,8 +9076,8 @@ KOPRI-KPDC-00000763_1 CPS2 AMD_KOPRI STAC Catalog 2013-02-20 2013-02-27 -58.47,
KOPRI-KPDC-00000764_1 Fatty acid content of polar microalgae and mesophilic Chlamydomonas CC125 using Gas Chromatography AMD_KOPRI STAC Catalog 2017-05-05 2017-06-04 -58.783333, -62.216667, 11.933333, 78.916667 https://cmr.earthdata.nasa.gov/search/concepts/C2244300805-AMD_KOPRI.umm_json Fatty acid content of polar microalgae and mesophilic microalga Comparison and analysis of fatty acid content of both microalagae proprietary
KOPRI-KPDC-00000765_2 Climate Measurement Around the King Sejong Station, Antarctica in 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-12-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244305675-AMD_KOPRI.umm_json Meteorological observation was carried out at the King Sejong Station in 2017. Observational elements are composed of wind, air temperature, relative humidity, station level atmospheric pressure, solar radiation, longwave radiation, UV radiation, and precipitation. Goals of this observation are 1) to understand meteorological phenomena and 2) to monitor climate change at Antarctic Peninsula. These data are recorded automatically then examined by meteorological expert at the station to be produced as a daily, monthly, and annual report. To understand weather phenomema and to monitor at Antarctic Peninsula proprietary
KOPRI-KPDC-00000766_1 Soil samples of the Antarctic King Sejong Station from Barton Peninsular collected in 2017 AMD_KOPRI STAC Catalog 2017-01-12 2017-01-27 -58.788436, -62.240056, -58.719694, -62.218583 https://cmr.earthdata.nasa.gov/search/concepts/C2244300827-AMD_KOPRI.umm_json Analysis of microbial community structure and diversity in soil samples of the Antarctic King Sejong Station from Barton Peninsular in Antarctica Investigation to the terrestrial biodiversity in Barton peninsular for the monitoring by environment change proprietary
-KOPRI-KPDC-00000767_1 2016-2017 Barton Peninsular micro-climate data_HOBO soil temp., PAR, air temp., relative humidity ALL STAC Catalog 2016-01-14 2017-01-27 -58.788436, -62.240056, -58.719694, -62.218583 https://cmr.earthdata.nasa.gov/search/concepts/C2244300860-AMD_KOPRI.umm_json Micro-climate data set from Barton Peninsular in Antarctica collected during 1 year, 2016 Micro-climate data set from Barton Peninsular in Antarctica collected during 1 year, 2016 proprietary
KOPRI-KPDC-00000767_1 2016-2017 Barton Peninsular micro-climate data_HOBO soil temp., PAR, air temp., relative humidity AMD_KOPRI STAC Catalog 2016-01-14 2017-01-27 -58.788436, -62.240056, -58.719694, -62.218583 https://cmr.earthdata.nasa.gov/search/concepts/C2244300860-AMD_KOPRI.umm_json Micro-climate data set from Barton Peninsular in Antarctica collected during 1 year, 2016 Micro-climate data set from Barton Peninsular in Antarctica collected during 1 year, 2016 proprietary
+KOPRI-KPDC-00000767_1 2016-2017 Barton Peninsular micro-climate data_HOBO soil temp., PAR, air temp., relative humidity ALL STAC Catalog 2016-01-14 2017-01-27 -58.788436, -62.240056, -58.719694, -62.218583 https://cmr.earthdata.nasa.gov/search/concepts/C2244300860-AMD_KOPRI.umm_json Micro-climate data set from Barton Peninsular in Antarctica collected during 1 year, 2016 Micro-climate data set from Barton Peninsular in Antarctica collected during 1 year, 2016 proprietary
KOPRI-KPDC-00000768_1 Rn gas data measured at KSG during 2013.2-2016.11 AMD_KOPRI STAC Catalog 2013-02-01 2016-11-24 -58.766667, -62.216667, -58.766667, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244300905-AMD_KOPRI.umm_json Monitoring of Rn gas at KSG, Antarctica Investigation of air mass path moving to the KSG, Antarctica proprietary
KOPRI-KPDC-00000769_1 Simulated Atmospheric Wind at 850 hPa by Boundary Conditions during Last Glacial Maximum AMD_KOPRI STAC Catalog 2017-09-28 2017-09-28 180, -90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244301166-AMD_KOPRI.umm_json Atmospheric wind climatology at 850 hPa from the preindustrial simulation, Last Glacial Maximum simulation, LGM-SST simulation, LGM-SEAICE simulation, and LGM-topography simulation. To examine the responses of SH westerly winds to LGM boundary conditions using the state-of-the-art numerical model. To evaluate which boundary conditions are more important in the position and strength of SH westerly winds. proprietary
KOPRI-KPDC-00000770_1 Aerosol Number Concentration (>10nm) from King Sejong Station collected in 2010-2016. ALL STAC Catalog 2010-01-01 2016-12-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244298407-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 10nm in diameter Monitoring of Aerosol Number Concentration (>10nm) from King Sejong Station. proprietary
@@ -9134,8 +9136,8 @@ KOPRI-KPDC-00000818_2 Neutron count, Jang Bogo Station, Antarctica, 2016 AMD_KOP
KOPRI-KPDC-00000819_2 Ionospheric scintillation, Jang Bogo Station, Antarctica, 2016 AMD_KOPRI STAC Catalog 2016-01-04 2016-06-29 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306751-AMD_KOPRI.umm_json Amplitude and phase scintillations of GPS signal measured from scintillation monitor at Jang Bogo Station, Antarctica Study of the ionospheric irregularity in the southern high latitude proprietary
KOPRI-KPDC-00000820_1 Temporal variation of marine phytoplankton in the surface water of the Antarctic Jang Bogo Station in Terra Nova Bay, September 2016-August 2017 AMD_KOPRI STAC Catalog 2016-09-01 2017-08-31 164.2, -74.616667, 164.2, -74.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2244300705-AMD_KOPRI.umm_json As a research on the ecology of phytoplankton in the coastal waters of the Jang Bogo Station in Antarctica, the community of phytoplankton and the temporal influences of environmental factors. The temporal influences of environmental factors on marine phytoplankton community were investigated in the Jang Bogo Station in Antarctica. Investigation of marine phytoplankton biomass in the coastal waters around the Jang Bogo Station in Antarctica for the monitoring by environmental change in the surface sea water. proprietary
KOPRI-KPDC-00000821_2 Electron density and plasma drift, Jang Bogo Station, Antarctica, 2016 AMD_KOPRI STAC Catalog 2016-01-01 2016-10-01 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306337-AMD_KOPRI.umm_json Electron density profile, plasma drift velocity, and ionospheric tilt information measured from VIPIR (ionosonde) at Jang Bogo Station, Antarctica Study of the ionospheric characteristics in the southern high latitude proprietary
-KOPRI-KPDC-00000822_2 All-Sky airglow image, King Sejong Station, Antarctica, 2016 AMD_KOPRI STAC Catalog 2016-01-01 2016-10-01 -58.7766, -62.2206, -58.7766, -62.2206 https://cmr.earthdata.nasa.gov/search/concepts/C2244306160-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude proprietary
KOPRI-KPDC-00000822_2 All-Sky airglow image, King Sejong Station, Antarctica, 2016 ALL STAC Catalog 2016-01-01 2016-10-01 -58.7766, -62.2206, -58.7766, -62.2206 https://cmr.earthdata.nasa.gov/search/concepts/C2244306160-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude proprietary
+KOPRI-KPDC-00000822_2 All-Sky airglow image, King Sejong Station, Antarctica, 2016 AMD_KOPRI STAC Catalog 2016-01-01 2016-10-01 -58.7766, -62.2206, -58.7766, -62.2206 https://cmr.earthdata.nasa.gov/search/concepts/C2244306160-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude proprietary
KOPRI-KPDC-00000823_4 Neutral wind and temperature from Meteor Radar, King Sejong Station, Antarctica, 2016 AMD_KOPRI STAC Catalog 2016-01-01 2016-10-01 -58.7885, -62.2245, -58.7885, -62.2245 https://cmr.earthdata.nasa.gov/search/concepts/C2244306729-AMD_KOPRI.umm_json Neutral wind (80 – 100 km) and temperature (~90 km) measured from Meteor Radar (MR) at King Sejong Station, Antarctica Study of the atmosphere wave activities in the mesosphere and lower-thermosphere (MLT) over the southern high-latitude proprietary
KOPRI-KPDC-00000824_2 Mesospheric temperature and airglow intensity, King Sejong Station, Antarctica, 2016 AMD_KOPRI STAC Catalog 2016-01-01 2016-10-01 -58.7885, -62.2245, -58.7885, -62.2245 https://cmr.earthdata.nasa.gov/search/concepts/C2244306100-AMD_KOPRI.umm_json Mesospheric temperature and airglow intensity measured from Spectral Airglow Temperature Imager (SATI) at King Sejong Station Study of atmospheric wave activities and temperature variations in mesosphere and lower thermosphere (MLT) at southern high latitude proprietary
KOPRI-KPDC-00000825_2 Ionospheric scintillation, King Sejong Station, Antarctica, 2016 AMD_KOPRI STAC Catalog 2016-01-01 2016-10-01 -58.7885, -62.2245, -58.7885, -62.2245 https://cmr.earthdata.nasa.gov/search/concepts/C2244306210-AMD_KOPRI.umm_json Amplitude and phase scintillations of GPS signal measured from scintillation monitor at King Sejong Station, Antarctica Study of the ionospheric irregularity in the southern high latitude proprietary
@@ -9191,8 +9193,8 @@ KOPRI-KPDC-00000875_1 Eddy covariance data at DASAN Station in 2016 AMD_KOPRI ST
KOPRI-KPDC-00000876_1 Eddy covariance data at DASAN Station in 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-09-19 11.865833, 78.921944, 11.865833, 78.921944 https://cmr.earthdata.nasa.gov/search/concepts/C2244295705-AMD_KOPRI.umm_json Turbulent fluxes of momentum, heat, water vapor, and CO2 had been measured in 2017 at Ny-Alesund where Arctic DASAN station is located. Eddy covariance system, consisting of 3-D sonic anemometer and open-path CO2/H2O gas analyzer was used for the measurement. Data were recorded on a data logger with sampling rate of 10 Hz. To monitor and understand energy/water/green-house-gas flux at DASAN Station proprietary
KOPRI-KPDC-00000877_1 CCN(Cloud Condensation Nuclei) data at Zeppelin station in January-November, 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-11-30 11.888889, 78.906667, 11.888889, 78.906667 https://cmr.earthdata.nasa.gov/search/concepts/C2244295663-AMD_KOPRI.umm_json The CCNC(Cloud Condensation Nuclei Counter) is used to measure atmospheric CCN(Cloud Condensation Nuclei) concentration over Zeppelin station. Monitoring of CCN(Cloud Condensation Nuclei) concentration over Zeppelin station proprietary
KOPRI-KPDC-00000878_1 LED NDVI measured at Council site of Alaska in 2016 AMD_KOPRI STAC Catalog 2017-12-05 2017-12-05 -163.711, 64.844, -163.711, 64.844 https://cmr.earthdata.nasa.gov/search/concepts/C2244301187-AMD_KOPRI.umm_json A vegetation index NDVI was measured during growing season at the Council site, 70-miles northeast from the Nome, Alaska. The sensor was developed by Seoul National University (Prof. Young-Ryul Ryu) and provided for in-situ installation. The sensor is composed of one pair of upward/downward looking LEDs to obtain reflectivity in each bandwidth. We can calculate NDVI (normalized difference vegetation index) using this sensor to monitor vegetation activity. To monitor high-temporal variation of vegetaion activity at permafrost region, west Alaska. proprietary
-KOPRI-KPDC-00000879_1 Air temperature and air humidity data collected from climate manipulation plots in Cambridge Bay, Canada in 2017 AMD_KOPRI STAC Catalog 2016-06-19 2017-06-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300975-AMD_KOPRI.umm_json Micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 1 year (2016.06~2017.06) were collected. To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation proprietary
KOPRI-KPDC-00000879_1 Air temperature and air humidity data collected from climate manipulation plots in Cambridge Bay, Canada in 2017 ALL STAC Catalog 2016-06-19 2017-06-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300975-AMD_KOPRI.umm_json Micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 1 year (2016.06~2017.06) were collected. To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation proprietary
+KOPRI-KPDC-00000879_1 Air temperature and air humidity data collected from climate manipulation plots in Cambridge Bay, Canada in 2017 AMD_KOPRI STAC Catalog 2016-06-19 2017-06-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300975-AMD_KOPRI.umm_json Micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 1 year (2016.06~2017.06) were collected. To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation proprietary
KOPRI-KPDC-00000880_1 Soil moisture and soil temperature data collected from climate manipulation plots in Cambridge Bay, Canada in 2017 AMD_KOPRI STAC Catalog 2016-06-19 2017-06-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300926-AMD_KOPRI.umm_json Micro-climate data (soil volumetric content and temperature for 5 cm depth) from climate manipulation (combination of warming and precipitation) plots for 1 year (2016.06~2017.06) were collected. To monitor the changes in micro-climate properties in soil by increasing temperature by open top chambers and increasing precipitation proprietary
KOPRI-KPDC-00000881_1 CO2 auto-chamber data of Council site in 2017 AMD_KOPRI STAC Catalog 2016-09-22 2017-09-13 -163.705333, 64.843333, -163.705333, 64.843333 https://cmr.earthdata.nasa.gov/search/concepts/C2244301146-AMD_KOPRI.umm_json CO2 fluxes at dominant vegetation types were measured using custom-made auto-chamber system during summertime in 2017 at Council site, Alaska. Auto-chamber system was consisted of a gas-analyzer (LI-840) connected with 15-chambers, which are controlled by electronic board with 225-second opening for each chamber. As a result, whole-chamber cycle is completed in a hour. CO2 data is recorded every 10-second by CR1000 logger. Also, soil temperature and moisture at 5-cm depth at each chamber were recorded at 10-min interval. To monitor and understand CO2 flux of dominant vegetation types of Alaska permafrost site. proprietary
KOPRI-KPDC-00000882_1 Upper air observation data at Jang Bogo Station in 2016 AMD_KOPRI STAC Catalog 2016-02-01 2016-12-21 164.232072, -74.623811, 164.232072, -74.623811 https://cmr.earthdata.nasa.gov/search/concepts/C2244300540-AMD_KOPRI.umm_json Regular upper air observation is made once a day at 00 UTC from February to November by using auto and manual lauch of radio sondes. Data of pressure, temperature, relative humidity, wind speed and wind direction are sampled and recorded every two-second. The minimum observation height is over 20 km. Monitoring of changes in meteorological variables with altitude over Jang Bogo station proprietary
@@ -9259,8 +9261,8 @@ KOPRI-KPDC-00000942_1 Moderate Resolution Imaging Spectroradiometer in Antarctic
KOPRI-KPDC-00000943_1 Moderate Resolution Imaging Spectroradiometer in Arctic (MODIS) / Aqua, 2014 AMD_KOPRI STAC Catalog 2014-01-01 2014-12-31 180, 60, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244297144-AMD_KOPRI.umm_json MODIS is a 36-band spectroradiometer measuring visible and infrared radiation and obtaining data in Arctic. The first MODIS instrument was launched on board the Terra satellite in December 1999, and the second was launched on Aqua in May 2002. Derive products ranging from vegetation, land surface cover, and ocean chlorophyll fluorescence to cloud and aerosol properties, fire occurrence, snow cover on the land, and sea ice cover on the oceans. proprietary
KOPRI-KPDC-00000944_1 Moderate Resolution Imaging Spectroradiometer in Arctic (MODIS) / Aqua, 2015 AMD_KOPRI STAC Catalog 2015-01-01 2015-12-31 180, 60, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244297192-AMD_KOPRI.umm_json MODIS is a 36-band spectroradiometer measuring visible and infrared radiation and obtaining data in Arctic. The first MODIS instrument was launched on board the Terra satellite in December 1999, and the second was launched on Aqua in May 2002. Derive products ranging from vegetation, land surface cover, and ocean chlorophyll fluorescence to cloud and aerosol properties, fire occurrence, snow cover on the land, and sea ice cover on the oceans. proprietary
KOPRI-KPDC-00000945_1 Moderate Resolution Imaging Spectroradiometer in Antarctic (MODIS) / Aqua, 2015 AMD_KOPRI STAC Catalog 2015-01-01 2015-12-31 180, -90, -180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2244297229-AMD_KOPRI.umm_json MODIS is a 36-band spectroradiometer measuring visible and infrared radiation and obtaining data in Antarctic. The first MODIS instrument was launched on board the Terra satellite in December 1999, and the second was launched on Aqua in May 2002. Derive products ranging from vegetation, land surface cover, and ocean chlorophyll fluorescence to cloud and aerosol properties, fire occurrence, snow cover on the land, and sea ice cover on the oceans. proprietary
-KOPRI-KPDC-00000946_1 Advanced TIROS Operational Vertical Sounder (ATOVS) around the Jang Bogo Station, 2015-2016 AMD_KOPRI STAC Catalog 2015-03-01 2016-02-15 164.233333, -74.616667, 164.233333, -74.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2244297301-AMD_KOPRI.umm_json The Advanced TIROS Operational Vertical Sounder (ATOVS) consists of High Resolution Infrared Radiation Sounder (HIRS), the Advanced Microwave Sounding Unit-A (AMSU-A) and AMSU-B for retrieving temperature, humidity and ozone sounding in all weather conditions. The data were obtained around the Jang Bogo Station in Antarctic. To derive products including cloud, ozone, surface elevation, surface pressure, temperature around the Jang Bogo Station. proprietary
KOPRI-KPDC-00000946_1 Advanced TIROS Operational Vertical Sounder (ATOVS) around the Jang Bogo Station, 2015-2016 ALL STAC Catalog 2015-03-01 2016-02-15 164.233333, -74.616667, 164.233333, -74.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2244297301-AMD_KOPRI.umm_json The Advanced TIROS Operational Vertical Sounder (ATOVS) consists of High Resolution Infrared Radiation Sounder (HIRS), the Advanced Microwave Sounding Unit-A (AMSU-A) and AMSU-B for retrieving temperature, humidity and ozone sounding in all weather conditions. The data were obtained around the Jang Bogo Station in Antarctic. To derive products including cloud, ozone, surface elevation, surface pressure, temperature around the Jang Bogo Station. proprietary
+KOPRI-KPDC-00000946_1 Advanced TIROS Operational Vertical Sounder (ATOVS) around the Jang Bogo Station, 2015-2016 AMD_KOPRI STAC Catalog 2015-03-01 2016-02-15 164.233333, -74.616667, 164.233333, -74.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2244297301-AMD_KOPRI.umm_json The Advanced TIROS Operational Vertical Sounder (ATOVS) consists of High Resolution Infrared Radiation Sounder (HIRS), the Advanced Microwave Sounding Unit-A (AMSU-A) and AMSU-B for retrieving temperature, humidity and ozone sounding in all weather conditions. The data were obtained around the Jang Bogo Station in Antarctic. To derive products including cloud, ozone, surface elevation, surface pressure, temperature around the Jang Bogo Station. proprietary
KOPRI-KPDC-00000947_1 Advanced Very High Resolution Radiometer (AVHRR) around the Jang Bogo Station, 2015-2016 AMD_KOPRI STAC Catalog 2015-03-03 2016-02-15 164.233333, -74.616667, 164.233333, -74.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2244297622-AMD_KOPRI.umm_json The AVHRR is a six channel scanning radiometer providing three solar channels in the visible-near infrared region and three thermal infrared channels and obtained data around the Jang Bogo Station in Antarctic. To derive products including cloud cover, surface temperature, land-water boundaries, snow and ice detection around the Jang Bogo Station. proprietary
KOPRI-KPDC-00000947_1 Advanced Very High Resolution Radiometer (AVHRR) around the Jang Bogo Station, 2015-2016 ALL STAC Catalog 2015-03-03 2016-02-15 164.233333, -74.616667, 164.233333, -74.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2244297622-AMD_KOPRI.umm_json The AVHRR is a six channel scanning radiometer providing three solar channels in the visible-near infrared region and three thermal infrared channels and obtained data around the Jang Bogo Station in Antarctic. To derive products including cloud cover, surface temperature, land-water boundaries, snow and ice detection around the Jang Bogo Station. proprietary
KOPRI-KPDC-00000948_1 Moderate Resolution Imaging Spectroradiometer (MODIS) around the Jang Bogo Station, 2015-2016 AMD_KOPRI STAC Catalog 2015-03-30 2016-02-03 164.233333, -74.616667, 164.233333, -74.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2244297939-AMD_KOPRI.umm_json MODIS is a 36-band spectroradiometer measuring visible and infrared radiation and obtaining data around the Jang Bogo Station in Antarctic. To derive products including vegetation, land surface cover, and ocean chlorophyll fluorescence to cloud and aerosol properties, fire occurrence, snow cover on the land, and sea ice cover on the oceans around the Jang Bogo Station. proprietary
@@ -9312,8 +9314,8 @@ KOPRI-KPDC-00000995_1 Sea Ice from SW of James Ross Island AMD_KOPRI STAC Catalo
KOPRI-KPDC-00000996_1 Sea Ice from W of James Ross Island AMD_KOPRI STAC Catalog 2018-04-20 -58.543322, -64.147707, -58.543322, -64.147707 https://cmr.earthdata.nasa.gov/search/concepts/C2244299635-AMD_KOPRI.umm_json 2018 W of James Ross Island Sea Ice, Antarctic Climate change observation proprietary
KOPRI-KPDC-00000997_1 Identification of growth rate of Antarctic terrestrial ciliates based on temperature around King Sejong Station (2017/18) AMD_KOPRI STAC Catalog 2017-12-06 2018-01-24 -58.766667, -62.216667, -58.766667, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244300273-AMD_KOPRI.umm_json Identification of growth rate of ciliates from Barton Peninsular, South Shetland Islands in Antarctica To show the growth rate of ciliates based on temperature in Antarctica proprietary
KOPRI-KPDC-00000998_2 ANA08C Marine Magnetic Data AMD_KOPRI STAC Catalog 2018-03-13 164.4, -75.5, 165.9, -75.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244301255-AMD_KOPRI.umm_json Marine magnetic data were collected during the ANA08C Expedition in the 2017-2018 austral summer in the Ross Sea, Antarctica proprietary
-KOPRI-KPDC-00000999_2 2018 Multibeam bathymetry data in the Ross Sea, Antarctica ALL STAC Catalog 2018-03-13 164.4, -75.5, 165.9, -75.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244301265-AMD_KOPRI.umm_json Multibeam bathymetry data were collected during the ANA08C Expedition in the Ross Sea, Antarctica proprietary
KOPRI-KPDC-00000999_2 2018 Multibeam bathymetry data in the Ross Sea, Antarctica AMD_KOPRI STAC Catalog 2018-03-13 164.4, -75.5, 165.9, -75.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244301265-AMD_KOPRI.umm_json Multibeam bathymetry data were collected during the ANA08C Expedition in the Ross Sea, Antarctica proprietary
+KOPRI-KPDC-00000999_2 2018 Multibeam bathymetry data in the Ross Sea, Antarctica ALL STAC Catalog 2018-03-13 164.4, -75.5, 165.9, -75.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244301265-AMD_KOPRI.umm_json Multibeam bathymetry data were collected during the ANA08C Expedition in the Ross Sea, Antarctica proprietary
KOPRI-KPDC-00001000_2 Sub-bottom profile data in the Ross Sea, Antarctica AMD_KOPRI STAC Catalog 2018-03-13 164.4, -75.5, 165.9, -75.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244301275-AMD_KOPRI.umm_json Sub-bottom profile (SBP) data were collected during the ANA08C Expedition in the Ross Sea, Antarctica proprietary
KOPRI-KPDC-00001001_1 De novo transcriptome assembly of the moss Sanionia uncinata in response to relative water content reduction in the Antarctic natural habitat AMD_KOPRI STAC Catalog 2016-03-21 -58.771667, -62.220278, -58.771667, -62.220278 https://cmr.earthdata.nasa.gov/search/concepts/C2244300607-AMD_KOPRI.umm_json Despite the importance, the molecular responses of S. uncinata related to the decrease in water availability in the long-term future have not yet been identified. To explain physiological and molecular change induced by dehydration, we performed de novo transcriptome assembly. Using the short-read assembly program, 32,100 unigenes were assembled with an N50 of 1,296 bp. proprietary
KOPRI-KPDC-00001002_1 EGRIP SP TE AMD_KOPRI STAC Catalog 2018-06-01 2018-06-30 -35.9915, 75.6268, -35.9915, 75.6268 https://cmr.earthdata.nasa.gov/search/concepts/C2244300642-AMD_KOPRI.umm_json Greenland EastGRIP 2017 snow pit trace metals Investigation of seasonal changes in atmospheric trace metals over northeastern Greenland proprietary
@@ -9322,8 +9324,8 @@ KOPRI-KPDC-00001004_1 Stable water isotope composition of the Styx ice core (v3)
KOPRI-KPDC-00001005_1 GV7_S2_Pu AMD_KOPRI STAC Catalog 2018-10-04 2018-10-04 158.85, -70.683333, 158.85, -70.683333 https://cmr.earthdata.nasa.gov/search/concepts/C2244300677-AMD_KOPRI.umm_json "Atmospheric nuclear explosions during the period from the 1940s to the 1980s are the major anthropogenic source of plutonium (Pu) in the environment. In this work, we analyzed fg g-1 levels of artificial Pu, released predominantly by atmospheric nuclear weapons tests. We measured 351 samples which collected a 78 m-depth fire core at the site of GV7 (S 70°41 ´17.1"", E 158°51´48.9"", 1950 m a.s.l.), Northern Victoria Land, East Antarctica. To determine the Pu concentration in the samples, we used an inductively coupled plasma sector field mass spectrometry coupled with an Apex high-efficiency sample introduction system, which has the advantages of small sample consumption and simple sample preparation." proprietary
KOPRI-KPDC-00001006_1 Styx_Pu AMD_KOPRI STAC Catalog 2018-10-04 2018-10-04 163.683333, -73.85, 163.683333, -73.85 https://cmr.earthdata.nasa.gov/search/concepts/C2244300691-AMD_KOPRI.umm_json Atmospheric nuclear explosions during the period from the 1940s to the 1980s are the major anthropogenic source of plutonium (Pu) in the environment. In this work, we analyzed fg g-1 levels of artificial Pu, released predominantly by atmospheric nuclear weapons tests. proprietary
KOPRI-KPDC-00001007_1 Ubi:DaGolS2, rice transgenic line overexpressing DaGolS2 from Deschampsia antarctica AMD_KOPRI STAC Catalog 2018-01-01 2018-12-31 -58.791222, -62.2365, -58.719472, -62.224972 https://cmr.earthdata.nasa.gov/search/concepts/C2244300474-AMD_KOPRI.umm_json Deschampsia antarctica is an Antarctic hairgrass that grows on the west coast of the Antarctic peninsula. In this report, we have identified and characterized DaGolS2, that is a member of the galactinol synthase group 2. To investigate its possible cellular role in cold tolerance, a transgenic rice system was employed. DaGolS2-overexpressing transgenic rice plants (Ubi:DaGolS2) exhibited markedly increased tolerance to cold and drought stress compared to wild-type plants without growth defects; however, overexpression of DaGolS2 exerted little effect on tolerance to salt stress. These results suggest that overexpression of DaGolS2 directly and indirectly confers enhanced tolerance to cold and drought stresses. proprietary
-KOPRI-KPDC-00001008_2 2018 KOPRI North Greenland Sirius Passet collection 1 ALL STAC Catalog 2021-08-02 2021-08-02 -42.228333, 82.793333, -42.228333, 82.793333 https://cmr.earthdata.nasa.gov/search/concepts/C2244301304-AMD_KOPRI.umm_json This entry includes the Early Cambrian fossils from Sirius Passet, North Greenland, collected by 2016-2018 KOPRI expedition. The collections include various kinds of marine invertebrates, representing morphology of the early stage of animal evolution. Total of ca. 2000 kg of fossils were collected during 2016-2018 expedition. The Early Cambrian fossils will help us understand the rise of the first animals during the Cambrian Explosion. proprietary
KOPRI-KPDC-00001008_2 2018 KOPRI North Greenland Sirius Passet collection 1 AMD_KOPRI STAC Catalog 2021-08-02 2021-08-02 -42.228333, 82.793333, -42.228333, 82.793333 https://cmr.earthdata.nasa.gov/search/concepts/C2244301304-AMD_KOPRI.umm_json This entry includes the Early Cambrian fossils from Sirius Passet, North Greenland, collected by 2016-2018 KOPRI expedition. The collections include various kinds of marine invertebrates, representing morphology of the early stage of animal evolution. Total of ca. 2000 kg of fossils were collected during 2016-2018 expedition. The Early Cambrian fossils will help us understand the rise of the first animals during the Cambrian Explosion. proprietary
+KOPRI-KPDC-00001008_2 2018 KOPRI North Greenland Sirius Passet collection 1 ALL STAC Catalog 2021-08-02 2021-08-02 -42.228333, 82.793333, -42.228333, 82.793333 https://cmr.earthdata.nasa.gov/search/concepts/C2244301304-AMD_KOPRI.umm_json This entry includes the Early Cambrian fossils from Sirius Passet, North Greenland, collected by 2016-2018 KOPRI expedition. The collections include various kinds of marine invertebrates, representing morphology of the early stage of animal evolution. Total of ca. 2000 kg of fossils were collected during 2016-2018 expedition. The Early Cambrian fossils will help us understand the rise of the first animals during the Cambrian Explosion. proprietary
KOPRI-KPDC-00001009_2 Near-Real-Time DMSP SSMIS Daily Polar Gridded Sea Ice Concentrations, Arctic, 2016 AMD_KOPRI STAC Catalog 2016-01-01 2016-12-31 180, 30, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244306767-AMD_KOPRI.umm_json This Near-Real-Time DMSP SSMIS Daily Polar Gridded Sea Ice Concentrations (NRTSI) data set provides sea ice concentrations for both the Northern and Southern Hemispheres. The near-real-time passive microwave brightness temperature data that are used as input to this data set are acquired with the Special Sensor Microwave Imager/Sounder (SSMIS) on board the Defense Meteorological Satellite Program (DMSP) satellites. Starting with 1 April 2016, data from DMSP-F18 are used. The SSMIS instrument is the next generation Special Sensor Microwave/Imager (SSM/I) instrument. SSMIS data are received daily from the Comprehensive Large Array-data Stewardship System (CLASS) at the National Oceanic and Atmospheric Administration (NOAA) and are gridded onto a polar stereographic grid. Investigators generate sea ice concentrations from these data using the NASA Team algorithm. proprietary
KOPRI-KPDC-00001010_2 Near-Real-Time DMSP SSMIS Daily Polar Gridded Sea Ice Concentrations, Arctic, 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-12-31 180, 30, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244306790-AMD_KOPRI.umm_json This Near-Real-Time DMSP SSMIS Daily Polar Gridded Sea Ice Concentrations (NRTSI) data set provides sea ice concentrations for both the Northern and Southern Hemispheres. The near-real-time passive microwave brightness temperature data that are used as input to this data set are acquired with the Special Sensor Microwave Imager/Sounder (SSMIS) on board the Defense Meteorological Satellite Program (DMSP) satellites. Starting with 1 April 2016, data from DMSP-F18 are used. The SSMIS instrument is the next generation Special Sensor Microwave/Imager (SSM/I) instrument. SSMIS data are received daily from the Comprehensive Large Array-data Stewardship System (CLASS) at the National Oceanic and Atmospheric Administration (NOAA) and are gridded onto a polar stereographic grid. Investigators generate sea ice concentrations from these data using the NASA Team algorithm. proprietary
KOPRI-KPDC-00001011_2 Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, Version 1, Arctic, 2006 AMD_KOPRI STAC Catalog 2006-01-01 2006-12-31 180, 30.98, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2244306537-AMD_KOPRI.umm_json This data set is generated from brightness temperature data and is designed to provide a consistent time series of sea ice concentrations spanning the coverage of several passive microwave instruments.The data are provided in the polar stereographic projection at a grid cell size of 25 x 25 km. This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) spanning the coverage of several passive microwave instruments. To aid in this goal, sea ice algorithm coefficients are changed to reduce differences in sea ice extent and area as estimated using the SMMR and SSM/I sensors. proprietary
@@ -9419,19 +9421,19 @@ KOPRI-KPDC-00001100_3 Ionospheric scintillation, King Sejong Station, Antarctica
KOPRI-KPDC-00001101_5 Neutral wind and temperature from FPI, King Sejong Station, Antarctica, 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-12-31 -58.7766, -62.2206, -58.7766, -62.2206 https://cmr.earthdata.nasa.gov/search/concepts/C2244307207-AMD_KOPRI.umm_json Horizontal neutral wind around 87km, 97km, 250km measured from Fabry-Perot Interferometer (FPI) at KSS station, Antarctica Study of the atmosphere wave activities in the upper atmosphere in the southern high-latitude proprietary
KOPRI-KPDC-00001102_3 All-Sky airglow image, King Sejong Station, Antarctica, 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-10-01 -58.7766, -62.2206, -58.7766, -62.2206 https://cmr.earthdata.nasa.gov/search/concepts/C2244307078-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude proprietary
KOPRI-KPDC-00001102_3 All-Sky airglow image, King Sejong Station, Antarctica, 2017 ALL STAC Catalog 2017-01-01 2017-10-01 -58.7766, -62.2206, -58.7766, -62.2206 https://cmr.earthdata.nasa.gov/search/concepts/C2244307078-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude proprietary
-KOPRI-KPDC-00001103_3 All-Sky airglow image, King Sejong Station, Antarctica, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-10-01 -58.7766, -62.2206, -58.7766, -62.2206 https://cmr.earthdata.nasa.gov/search/concepts/C2244306042-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high latitude proprietary
KOPRI-KPDC-00001103_3 All-Sky airglow image, King Sejong Station, Antarctica, 2018 ALL STAC Catalog 2018-01-01 2018-10-01 -58.7766, -62.2206, -58.7766, -62.2206 https://cmr.earthdata.nasa.gov/search/concepts/C2244306042-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high latitude proprietary
+KOPRI-KPDC-00001103_3 All-Sky airglow image, King Sejong Station, Antarctica, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-10-01 -58.7766, -62.2206, -58.7766, -62.2206 https://cmr.earthdata.nasa.gov/search/concepts/C2244306042-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high latitude proprietary
KOPRI-KPDC-00001104_3 Electron density and plasma drift, Jang Bogo Station, Antarctica, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-10-02 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306739-AMD_KOPRI.umm_json Electron density profile, plasma drift velocity, and ionospheric tilt information measured from VIPIR (ionosonde) at Jang Bogo Station, Antarctica Study of the ionospheric characteristics in the southern high latitude proprietary
KOPRI-KPDC-00001105_4 Neutral wind and temperature from FPI, Jang Bogo Station, Antarctica, 2018 AMD_KOPRI STAC Catalog 2018-03-06 2018-10-01 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306027-AMD_KOPRI.umm_json Horizontal neutral wind around 87km, 97km, 250km measured from Fabry-Perot Interferometer (FPI) at Jang Bogo Station (JBS), Antarctica Study of the atmosphere wave activities in the upper atmosphere in the southern high-latitude proprietary
KOPRI-KPDC-00001106_3 Neutron count, Jang Bogo Station, Antarctica, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-09-30 164.14, -74.6202, 164.2273, -74.37 https://cmr.earthdata.nasa.gov/search/concepts/C2244306728-AMD_KOPRI.umm_json Cosmic ray origin neutron count measured from neutron monitor at Jang Bogo Station, Antarctica Study of the variation of neutron count in the southern high latitude proprietary
KOPRI-KPDC-00001107_4 Ionospheric scintillation, Jang Bogo Station, Antarctica, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-10-01 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306588-AMD_KOPRI.umm_json Amplitude and phase scintillations of GPS signal measured from scintillation monitor at Jang Bogo Station, Antarctica Study of the ionospheric irregularity in the southern high latitude proprietary
-KOPRI-KPDC-00001108_4 All-sky aurora (proton) image at Jang Bogo Station, Antarctica, 2018 ALL STAC Catalog 2018-01-01 2018-12-31 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306540-AMD_KOPRI.umm_json Aurora (proton) image measured from all-sky camera at Jang Bogo Station, Antarctica Study of the aurora characteristics in the southern high latitude proprietary
KOPRI-KPDC-00001108_4 All-sky aurora (proton) image at Jang Bogo Station, Antarctica, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-12-31 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306540-AMD_KOPRI.umm_json Aurora (proton) image measured from all-sky camera at Jang Bogo Station, Antarctica Study of the aurora characteristics in the southern high latitude proprietary
+KOPRI-KPDC-00001108_4 All-sky aurora (proton) image at Jang Bogo Station, Antarctica, 2018 ALL STAC Catalog 2018-01-01 2018-12-31 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306540-AMD_KOPRI.umm_json Aurora (proton) image measured from all-sky camera at Jang Bogo Station, Antarctica Study of the aurora characteristics in the southern high latitude proprietary
KOPRI-KPDC-00001109_4 Geomagnetic field, Jang Bogo Station, Antarctica, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-09-30 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306279-AMD_KOPRI.umm_json Variation of geomagnetic field measured from search-coil magnetometer (SCM) at Jang Bogo Station, antarctica Study of the activity of ultra low frequency (ULF) wave in the southern high latitude proprietary
KOPRI-KPDC-00001110_4 Neutral wind and temperature from FPI, Dasan Station, Arctic, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-03-22 11.836, 78.938, 11.836, 78.938 https://cmr.earthdata.nasa.gov/search/concepts/C2244307214-AMD_KOPRI.umm_json Horizontal neutral wind around 87km, 97km, 250km measured from Febry-Perot interferometer (FPI) at Dasan station, Arctic Study of the atmosphere wave activities in the upper atmosphere in the southern/northern high-latitude proprietary
KOPRI-KPDC-00001111_4 Ionospheric scintillation, Dasan Station, Arctic, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-10-08 11.932, 78.9233, 11.932, 78.9233 https://cmr.earthdata.nasa.gov/search/concepts/C2244306245-AMD_KOPRI.umm_json Amplitude and phase scintillations of GPS signal measured from scintillation monitor at Dasan Station, Arctica Study of the ionospheric irregularity in the northern high latitude proprietary
-KOPRI-KPDC-00001112_4 All-sky aurora (proton) image, Longyearbyen, Norway, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-02-28 16.040746, 78.147909, 16.040746, 78.147909 https://cmr.earthdata.nasa.gov/search/concepts/C2244306694-AMD_KOPRI.umm_json Aurora (proton) image measured from all-sky camera at Kjell Henriksen Observatory (KHO), Longyearbyen, Norway Study of the aurora (proton) characteristics in the northern high latitude proprietary
KOPRI-KPDC-00001112_4 All-sky aurora (proton) image, Longyearbyen, Norway, 2018 ALL STAC Catalog 2018-01-01 2018-02-28 16.040746, 78.147909, 16.040746, 78.147909 https://cmr.earthdata.nasa.gov/search/concepts/C2244306694-AMD_KOPRI.umm_json Aurora (proton) image measured from all-sky camera at Kjell Henriksen Observatory (KHO), Longyearbyen, Norway Study of the aurora (proton) characteristics in the northern high latitude proprietary
+KOPRI-KPDC-00001112_4 All-sky aurora (proton) image, Longyearbyen, Norway, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-02-28 16.040746, 78.147909, 16.040746, 78.147909 https://cmr.earthdata.nasa.gov/search/concepts/C2244306694-AMD_KOPRI.umm_json Aurora (proton) image measured from all-sky camera at Kjell Henriksen Observatory (KHO), Longyearbyen, Norway Study of the aurora (proton) characteristics in the northern high latitude proprietary
KOPRI-KPDC-00001113_3 Mesospheric temperature, Kiruna, Sweden, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-10-01 21.03, 67.872, 21.03, 67.872 https://cmr.earthdata.nasa.gov/search/concepts/C2244306621-AMD_KOPRI.umm_json Mesospheric temperature and airglow intensity measured from Fourier Transform Spectrometer (FTS) at Kiruna, Sweden Study of the long-term trend of mesospheric temperature in the northern high latitude proprietary
KOPRI-KPDC-00001114_4 Neutral wind and temperature from FPI, Kiruna, Sweden, 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-10-01 21.03, 67.872, 21.03, 67.872 https://cmr.earthdata.nasa.gov/search/concepts/C2244307306-AMD_KOPRI.umm_json Horizontal neutral wind around 87km, 97km, 250km measured from Fabry-Perot Interferometer (FPI) at Kiruna, Sweden Study of the atmosphere wave activities in the upper atmosphere in the northern high-latitude proprietary
KOPRI-KPDC-00001115_2 Ionospheric total electron content monitoring system over Kiruna, Sweden at 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-10-01 21.03, 67.53, 21.03, 67.53 https://cmr.earthdata.nasa.gov/search/concepts/C2244305498-AMD_KOPRI.umm_json Total electron content in the ionosphere over Kiruna, Sweden Study of the statistical characteristics of ionosphere in northern high latitude proprietary
@@ -9449,8 +9451,8 @@ KOPRI-KPDC-00001125_4 NanoSMPS particle number concentration in 2017 AMD_KOPRI S
KOPRI-KPDC-00001126_5 NanoSMPS particle number concentration in 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-12-31 11.894, 78.908, 11.894, 78.908 https://cmr.earthdata.nasa.gov/search/concepts/C2244301557-AMD_KOPRI.umm_json The nano-SMPS (nano-Scanning Mobility Particle Sizer) involving Classifier (3080, TSI), nano-DMA (Differential Mobility Analyzer) (3081, TSI, USA), and UCPC (Ultra-Condensation Particle Counter) (3776, TSI, USA) is an important instrument to measure nano-size aerosols (3 to 60 nm). From Oct 2016 to Feb 2020, the nano-SMPS has been operating successfully at Zeppelin Mt, Ny-Alesund in Norway. Based-on the size distribution with particle number concentration in range of 3-60 nm of nanoSMPS, we will invest time-variation of the new particle formation, Climatological circle, and so on in Arctic region. proprietary
KOPRI-KPDC-00001127_3 NanoSMPS particle number concentration in 2016 AMD_KOPRI STAC Catalog 2016-10-01 2016-12-31 11.894, 78.908, 11.894, 78.908 https://cmr.earthdata.nasa.gov/search/concepts/C2244301534-AMD_KOPRI.umm_json The nano-SMPS (nano-Scanning Mobility Particle Sizer) involving Classifier (3080, TSI), nano-DMA (Differential Mobility Analyzer) (3081, TSI, USA), and UCPC (Ultra-Condensation Particle Counter) (3776, TSI, USA) is an important instrument to measure nano-size aerosols (3 to 60 nm). From Oct 2016 to Feb 2020, the nano-SMPS has been operating successfully at Zeppelin Mt, Ny-Alesund in Norway. Based-on the size distribution with particle number concentration in range of 3-60 nm of nanoSMPS, we will invest time-variation of the new particle formation, Climatological circle, and so on in Arctic region. proprietary
KOPRI-KPDC-00001128_1 Soil moisture and soil temperature data collected from climate manipulation plots in Cambridge Bay, Canada in 2018 AMD_KOPRI STAC Catalog 2017-06-19 2018-06-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300912-AMD_KOPRI.umm_json Micro-climate data (soil volumetric content and temperature for 5 cm depth) from climate manipulation (combination of warming and precipitation) plots for 1 year (2017.06 ~ 2018. 06) were collected. To monitor the changes in micro-climate properties in soil by increasing temperature by open top chambers and increasing precipitation proprietary
-KOPRI-KPDC-00001129_1 Air temperature and humidity data collected from climate manipulation plots in Cambridge Bay, Canada in 2018 ALL STAC Catalog 2017-06-19 2018-06-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300871-AMD_KOPRI.umm_json Micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 1 year (2017.06~2018.06) were collected To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation proprietary
KOPRI-KPDC-00001129_1 Air temperature and humidity data collected from climate manipulation plots in Cambridge Bay, Canada in 2018 AMD_KOPRI STAC Catalog 2017-06-19 2018-06-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300871-AMD_KOPRI.umm_json Micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 1 year (2017.06~2018.06) were collected To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation proprietary
+KOPRI-KPDC-00001129_1 Air temperature and humidity data collected from climate manipulation plots in Cambridge Bay, Canada in 2018 ALL STAC Catalog 2017-06-19 2018-06-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300871-AMD_KOPRI.umm_json Micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 1 year (2017.06~2018.06) were collected To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation proprietary
KOPRI-KPDC-00001130_1 Atmospheric DMS mixing ratio measured from Storhofdi, Iceland in 2017-2018. AMD_KOPRI STAC Catalog 2017-04-04 2018-08-18 -20.29, 63.4, -20.29, 63.4 https://cmr.earthdata.nasa.gov/search/concepts/C2244300807-AMD_KOPRI.umm_json Custum-made DMS analyzer was installed at the Storhofdi observatory, Iceland, and monitored the atmospheric DMS mixing ratio in 2017-208. Analyzing in-situ DMs mixing ratio Storhofdi, Iceland. proprietary
KOPRI-KPDC-00001131_1 NDVI data collected from climate manipulation plots in Cambridge Bay, Canada in 2018 AMD_KOPRI STAC Catalog 2018-07-04 2018-09-05 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244300832-AMD_KOPRI.umm_json NDVI(Normalized Difference Vegetation Index) from climate manipulation (increasing snow cover) plot for 2 months (2018.7.4 ~ 9.5) were collected proprietary
KOPRI-KPDC-00001132_1 Eddy covariance data of Canada permafrost site in 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-12-31 -105.058917, 69.13025, -105.058917, 69.13025 https://cmr.earthdata.nasa.gov/search/concepts/C2244301100-AMD_KOPRI.umm_json Turbulent fluxes of momentum, heat, water vapor, CO2 had been measured during summertime in 2017 at Cambridge bay, Canada. Eddy covariance system, consisting of 3-D sonic anemometer, open-path CO2/H2O gas analyzer and open-path CH4 gas analyzer was used for the measurement. Data were recorded with CR3000 logger with sampling rate of 10 Hz. To monitor and understand energy/water/green-house-gas flux over permafrost region proprietary
@@ -9478,8 +9480,8 @@ KOPRI-KPDC-00001153_2 Profile of Meteorological data at the Jang Bogo Station, A
KOPRI-KPDC-00001154_2 Data for observation and prediction to model responses of Antarctic hairgrass AMD_KOPRI STAC Catalog 2017-01-01 2018-12-31 -58.771667, -62.220278, -58.771667, -62.220278 https://cmr.earthdata.nasa.gov/search/concepts/C2244303875-AMD_KOPRI.umm_json In order to model the distribution and physiological response of Antarctic hairgrass, we obtained 2,127 data points (Po, average 118.7) of distributions and physiological response observations in the vicinity of Sejong Station, King George Island, Antarctica in 2017. In addition, we obtained 2,127 data points for this species. With these data, the prediction accuracy of the model acquired in 2018 was 83.3%. proprietary
KOPRI-KPDC-00001155_2 Data for observation and prediction to model responses of Antarctic pearlwort AMD_KOPRI STAC Catalog 2016-01-01 2017-12-31 -58.771667, -62.220278, -58.771667, -62.220278 https://cmr.earthdata.nasa.gov/search/concepts/C2244303548-AMD_KOPRI.umm_json In order to model the distribution and physiological response of Antarctic pearlwort, we obtained 1,150 data points (Po, average 96.7) of distributions and physiological response observations in the vicinity of Sejong Station, King George Island, Antarctica in 2016. In addition, we obtained 1,150 data points for this species. With these data, the prediction accuracy of the model acquired in 2017 was 78.84%. proprietary
KOPRI-KPDC-00001156_4 Neutral wind and temperature from FPI, King Sejong Station, Antarctica, 2018 AMD_KOPRI STAC Catalog 2018-03-01 2018-10-31 -58.7766, -62.2206, -58.7766, -62.2206 https://cmr.earthdata.nasa.gov/search/concepts/C2244306106-AMD_KOPRI.umm_json Horizontal neutral wind around 87km, 97km, 250km measured from Fabry-Perot Interferometer (FPI) at KSS station, Antarctica Study of the atmosphere wave activities in the upper atmosphere in the southern high-latitude proprietary
-KOPRI-KPDC-00001157_3 All-Sky airglow image, Jang Bogo Station, Antarctica, 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-10-01 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306682-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at Jang Bogo Station, Antarctica Study of the atmospheric wave activities in the southern high latitude proprietary
KOPRI-KPDC-00001157_3 All-Sky airglow image, Jang Bogo Station, Antarctica, 2017 ALL STAC Catalog 2017-01-01 2017-10-01 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306682-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at Jang Bogo Station, Antarctica Study of the atmospheric wave activities in the southern high latitude proprietary
+KOPRI-KPDC-00001157_3 All-Sky airglow image, Jang Bogo Station, Antarctica, 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-10-01 164.2273, -74.6202, 164.2273, -74.6202 https://cmr.earthdata.nasa.gov/search/concepts/C2244306682-AMD_KOPRI.umm_json Airglow (OI 557.7nm, OI 630.0nm, Na 589.7nm, OH Meinel band) image measured from all-sky camera at Jang Bogo Station, Antarctica Study of the atmospheric wave activities in the southern high latitude proprietary
KOPRI-KPDC-00001158_1 Upper O3 observation data at Jang Bogo Station in 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-09-30 164.232072, -74.623811, 164.232072, -74.623811 https://cmr.earthdata.nasa.gov/search/concepts/C2244297194-AMD_KOPRI.umm_json Regular upper O3 observation is made once a week from SEP to NOV, and a month except for the preceding period. O3 is sampled and recorded every a second. Monitoring of changes in meteorological variables (O3) with altitude over Jang Bogo station. proprietary
KOPRI-KPDC-00001159_1 O3 observation data using BREWER at Jang Bogo Station in 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-09-30 164.232072, -74.623811, 164.232072, -74.623811 https://cmr.earthdata.nasa.gov/search/concepts/C2244299602-AMD_KOPRI.umm_json The Brewer Ozone spectroscopy (BREWER) accurately measures the amount of light from a certain wavelength (286.5 nm to 363 nm) that absorbs ozone and is a total of ozone. Monitoring of changes in meteorological variables (O3) at Jang Bogo station. proprietary
KOPRI-KPDC-00001160_2 Upper air observation data at Jang Bogo Station during YOPP-SH(Year of Polar Prediction-Southern Hemisphere) in 2018/19 AMD_KOPRI STAC Catalog 2018-11-16 2019-02-11 164.232072, -74.623811, 164.232072, -74.623811 https://cmr.earthdata.nasa.gov/search/concepts/C2244296754-AMD_KOPRI.umm_json Upper air observation is made once a day at 1800UTC during YOPP-SH (from 16 NOV. 2018 and 11 FEB 2019) by using auto and manual lauch of radio sondes. Data of pressure, temperature, relative humidity, wind speed and wind direction are sampled and recorded every a second. The minimum observation height is over 20 km. Monitoring of changes in meteorological variables with altitude over Jang Bogo station proprietary
@@ -9530,17 +9532,17 @@ KOPRI-KPDC-00001210_1 X-ray diffraction data of CpsORN AMD_KOPRI STAC Catalog 20
KOPRI-KPDC-00001211_1 X-ray diffraction data of SfSFGH AMD_KOPRI STAC Catalog 2017-07-28 2017-07-28 129.316333, 36.0235, 129.316333, 36.0235 https://cmr.earthdata.nasa.gov/search/concepts/C2244301218-AMD_KOPRI.umm_json A novel cold-active S-formylglutathione hydrolase (SfSFGH) from Shewanella frigidimarina, composed of 279 amino acids with a molecular mass of ~31.0 kDa was identified, expressed, and characterized. Sequence analysis of SfSFGH revealed a conserved pentapeptide of G-X-S-X-G that is found in various lipolytic enzymes along with a putative catalytic triad of Ser148-Asp224-His257. Activity analysis showed that SfSFGH was active towards short-chain esters, such as p-nitrophenyl acetate, butyrate, hexanoate, and octanoate. The optimum pH for enzyme activity was slightly alkaline (pH 8.0). To investigate the active site configuration of SfSFGH, we determined the crystal structure of SfSFGH at 2.32 ? resolution. Structural analysis showed that a Trp182 residue is located in the active site entrance, allowing it to act as a gatekeeper residue to control substrate binding in SfSFGH. Mutation of Trp182 to Ala allowed SfSFGH to accommodate a longer chain of substrates. It is thought that the W182A mutation may increase the substrate-binding pocket and decrease the steric effect for larger substrates in SfSFGH. Consequently, the W182A mutant has broader substrate specificity compared to wild-type SfSFGH. Moreover, SfSFGH displayed more than 50% of its initial activity in the presence of various chemicals, including 30% EtOH, 1% Triton X-100, 1% SDS, and 5 M urea. Taken together, this study provides useful structure-function data of a SFGH family member and may inform protein engineering strategies for industrial applications of SfSFGH. proprietary
KOPRI-KPDC-00001212_1 X-ray diffraction data of GerE AMD_KOPRI STAC Catalog 2015-10-15 2015-10-15 129.316333, 36.0235, 129.316333, 36.0235 https://cmr.earthdata.nasa.gov/search/concepts/C2244301233-AMD_KOPRI.umm_json In cold and harsh environments such as glaciers and sediments in ice cores, microbes can survive by forming spores. Spores are composed of a thick coat protein, which protects against external factors such as heat-shock, high salinity, and nutrient deficiency. GerE is a key transcription factor involved in spore coat protein expression in the mother cell during sporulation. GerE regulates transcription during the late sporulation stage by directly binding to the promoter of cotB gene. Here, we report the crystal structure of PaGerE at 2.09 ? resolution from Paenisporosarcina sp. TG-14, which was isolated from the Taylor glacier. The PaGerE structure is composed of four α-helices and adopts a helix-turn-helix architecture with 68 amino acid residues. Based on our DNA binding analysis, the PaGerE binds to the promoter region of CotB to affect protein expression. Additionally, our structural comparison studies suggest that DNA binding by PaGerE causes a conformational change in the α4-helix region, which may strongly induce dimerization of PaGerE. proprietary
KOPRI-KPDC-00001213_4 Atmospheric dimethyl sulfide (DMS) mixing ratio observed at King Sejong Station in 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-04-03 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244301273-AMD_KOPRI.umm_json 1) Abstract (English) Atmospheric DMS mixing ratio measured at King Sejong Station in 2019 (from 1 Jan to 4 April) by using custom-made trapping and desorption system equipped with pulsed flame photometric detector. 2) Purpose (English) Monitoring of atmospheric DMS mixing ration at King Sejong Station. proprietary
-KOPRI-KPDC-00001214_4 Aerosol Number Concentration (> 2.5 and 10nm) from King Sejong Station collected in 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-08-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244301205-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 2.5 and 10nm in diameter Monitoring of Aerosol Number Concentration (>2.5 and 10nm) at King Sejong Station. proprietary
KOPRI-KPDC-00001214_4 Aerosol Number Concentration (> 2.5 and 10nm) from King Sejong Station collected in 2019 ALL STAC Catalog 2019-01-01 2019-08-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244301205-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 2.5 and 10nm in diameter Monitoring of Aerosol Number Concentration (>2.5 and 10nm) at King Sejong Station. proprietary
+KOPRI-KPDC-00001214_4 Aerosol Number Concentration (> 2.5 and 10nm) from King Sejong Station collected in 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-08-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244301205-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 2.5 and 10nm in diameter Monitoring of Aerosol Number Concentration (>2.5 and 10nm) at King Sejong Station. proprietary
KOPRI-KPDC-00001215_3 Cloud Condensation Nuclei concentration at King Sejong Station collected in 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-08-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244302431-AMD_KOPRI.umm_json Cloud Condensation Nuclei Counter(CCNC) measures the number of aerosol CCN Monitoring of Aerosol CCN from King Sejong Station. proprietary
KOPRI-KPDC-00001216_3 Cloud Condensation Nuclei concentration at King Sejong Station collected in 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-12-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244301742-AMD_KOPRI.umm_json Cloud Condensation Nuclei Counter(CCNC) measures the number of aerosol CCN Monitoring of Aerosol CCN from King Sejong Station. proprietary
KOPRI-KPDC-00001217_3 Cloud Condensation Nuclei concentration at King Sejong Station collected in 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-12-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244302084-AMD_KOPRI.umm_json Cloud Condensation Nuclei Counter(CCNC) measures the number of aerosol CCN Monitoring of Aerosol CCN from King Sejong Station. proprietary
KOPRI-KPDC-00001218_3 Aerosol Number Concentration (> 2.5 and 10nm) from King Sejong Station collected in 2018 ALL STAC Catalog 2018-01-01 2018-12-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244301229-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 2.5 and 10nm in diameter Monitoring of Aerosol Number Concentration (>2.5 and 10nm) at King Sejong Station. proprietary
KOPRI-KPDC-00001218_3 Aerosol Number Concentration (> 2.5 and 10nm) from King Sejong Station collected in 2018 AMD_KOPRI STAC Catalog 2018-01-01 2018-12-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244301229-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 2.5 and 10nm in diameter Monitoring of Aerosol Number Concentration (>2.5 and 10nm) at King Sejong Station. proprietary
-KOPRI-KPDC-00001219_3 Aerosol Number Concentration (> 2.5 and 10nm) from King Sejong Station collected in 2017 ALL STAC Catalog 2017-01-01 2017-12-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244301244-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 2.5 and 10nm in diameter Monitoring of Aerosol Number Concentration (>2.5 and 10nm) at King Sejong Station. proprietary
KOPRI-KPDC-00001219_3 Aerosol Number Concentration (> 2.5 and 10nm) from King Sejong Station collected in 2017 AMD_KOPRI STAC Catalog 2017-01-01 2017-12-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244301244-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 2.5 and 10nm in diameter Monitoring of Aerosol Number Concentration (>2.5 and 10nm) at King Sejong Station. proprietary
-KOPRI-KPDC-00001220_2 Aerosol Size Distribution from King Sejong Station collected in 2019. ALL STAC Catalog 2019-01-01 2019-06-30 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244305477-AMD_KOPRI.umm_json SMPS(Scanning Mobility Particle Sizer) measures the aerosol size distribution from King Sejong Station in 2010-2016. Monitoring of aerosol size distribution from King Sejong Station. proprietary
+KOPRI-KPDC-00001219_3 Aerosol Number Concentration (> 2.5 and 10nm) from King Sejong Station collected in 2017 ALL STAC Catalog 2017-01-01 2017-12-31 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244301244-AMD_KOPRI.umm_json Condensation particle counter measures the number of aerosol condensation particles of > 2.5 and 10nm in diameter Monitoring of Aerosol Number Concentration (>2.5 and 10nm) at King Sejong Station. proprietary
KOPRI-KPDC-00001220_2 Aerosol Size Distribution from King Sejong Station collected in 2019. AMD_KOPRI STAC Catalog 2019-01-01 2019-06-30 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244305477-AMD_KOPRI.umm_json SMPS(Scanning Mobility Particle Sizer) measures the aerosol size distribution from King Sejong Station in 2010-2016. Monitoring of aerosol size distribution from King Sejong Station. proprietary
+KOPRI-KPDC-00001220_2 Aerosol Size Distribution from King Sejong Station collected in 2019. ALL STAC Catalog 2019-01-01 2019-06-30 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244305477-AMD_KOPRI.umm_json SMPS(Scanning Mobility Particle Sizer) measures the aerosol size distribution from King Sejong Station in 2010-2016. Monitoring of aerosol size distribution from King Sejong Station. proprietary
KOPRI-KPDC-00001221_3 KPDC MAXDOAS For Halogen gases at KSJ 2018-2019 AMD_KOPRI STAC Catalog 2018-12-09 2019-06-12 -58.78, -62.22, -58.78, -62.22 https://cmr.earthdata.nasa.gov/search/concepts/C2244306023-AMD_KOPRI.umm_json Spectrum intensity for gaseous halogen compounds measured at King Sejong Station in 2018-2019 (from 9 Dec 2018 to 12 June 2019) by using Multi-Axis Differential Optic Absorption Spectroscopy (Max-DOAS) Monitoring of atmospheric halogen compounds at King Sejong Station. proprietary
KOPRI-KPDC-00001222_2 Meltwater sampling from Barton Peninsula (MW2) AMD_KOPRI STAC Catalog 2018-12-08 2018-12-08 -58.7392, -62.24065, -58.7392, -62.24065 https://cmr.earthdata.nasa.gov/search/concepts/C2244301257-AMD_KOPRI.umm_json Meltwater samples were obtained in Barton Peninsula to investigate ice chemical reactions in polar region. proprietary
KOPRI-KPDC-00001223_2 Meltwater sampling from Barton Peninsula (MW1) AMD_KOPRI STAC Catalog 2018-12-08 2018-12-08 -58.74405, -62.2399, -58.74405, -62.2399 https://cmr.earthdata.nasa.gov/search/concepts/C2244301268-AMD_KOPRI.umm_json Meltwater was sampled in Barton Peninsula to investigate ice chemical reactions in polar region. proprietary
@@ -9597,8 +9599,8 @@ KOPRI-KPDC-00001276_3 Neutral wind and temperature, King Sejong Station, 2019 AM
KOPRI-KPDC-00001277_3 Ionospheric scintillation, King Sejong Station, 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-09-30 -58.78804, -62.22268, -58.78804, -62.22268 https://cmr.earthdata.nasa.gov/search/concepts/C2244306035-AMD_KOPRI.umm_json Amplitude and phase scintillations of GPS signal measured from scintillation monitor at King Sejong Station Study of the ionospheric irregularity in the southern high latitude proprietary
KOPRI-KPDC-00001278_4 Neutral wind and temperature (MR), King Sejong Station, 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-09-30 -58.78462, -62.2238, -58.78462, -62.2238 https://cmr.earthdata.nasa.gov/search/concepts/C2244306123-AMD_KOPRI.umm_json Neutral wind (80 – 100 km) and temperature (~90 km) measured from Meteor Radar (MR) at King Sejong Station, Antarctica Study of the atmosphere wave activities in the mesosphere and lower-thermosphere (MLT) over the southern high-latitude proprietary
KOPRI-KPDC-00001279_1 Interaction map between micro-environments and biological responses in terrestrial ecosystem of KGL01 in Barton Peninsula, King George Island AMD_KOPRI STAC Catalog 2018-01-14 2019-02-11 -58.743481, -62.241378, -58.740931, -62.240042 https://cmr.earthdata.nasa.gov/search/concepts/C2244304200-AMD_KOPRI.umm_json "In order to comprehensively understand the Baton Peninsula terrestrial ecosystem where King Sejong Antarctic Research Station is located, multidisciplinary observations were conducted from 2017 to 2019 through the research project ""Modeling biological responses of terrestrial organisms to changing environments on King George Island"". For this purpose, we performed the continuous observation of meteorological elements such as soil moisture, temperature, and quantity of light, the reaction of vegetation with photosynthesis, and carbon dioxide fluxes. Through a massive analysis of these observation data, a comprehensive relational map was prepared to identify the effects and quantitative relationships of various environmental factors on the physiological responses of Baton Peninsula organisms. Continuous observation data obtained during this process were 151,020 points for soil moisture and light volume, 453,060 points for temperature, 54,234 points for photosynthesis, and 9,524 points for carbon dioxide flux." proprietary
-KOPRI-KPDC-00001280_2 All-Sky image data of the airglow emissions at Jang Bogo Station, Antarctica at 2018 ALL STAC Catalog 2018-03-01 2018-09-30 164.14, -74.37, 164.14, -74.37 https://cmr.earthdata.nasa.gov/search/concepts/C2244305076-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at Jang Bogo Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude MLT region proprietary
KOPRI-KPDC-00001280_2 All-Sky image data of the airglow emissions at Jang Bogo Station, Antarctica at 2018 AMD_KOPRI STAC Catalog 2018-03-01 2018-09-30 164.14, -74.37, 164.14, -74.37 https://cmr.earthdata.nasa.gov/search/concepts/C2244305076-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at Jang Bogo Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude MLT region proprietary
+KOPRI-KPDC-00001280_2 All-Sky image data of the airglow emissions at Jang Bogo Station, Antarctica at 2018 ALL STAC Catalog 2018-03-01 2018-09-30 164.14, -74.37, 164.14, -74.37 https://cmr.earthdata.nasa.gov/search/concepts/C2244305076-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at Jang Bogo Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude MLT region proprietary
KOPRI-KPDC-00001281_2 Vector magnetometer data at Jang Bogo station, Antarctica at 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-09-30 164.14, -74.37, 164.14, -74.37 https://cmr.earthdata.nasa.gov/search/concepts/C2244305969-AMD_KOPRI.umm_json Inclination/declination and total intensity of the Earth's magnetic field measured from dIdD at JBS station, Antarctica Study of the Earth's magnetic field over the southern high-latitude proprietary
KOPRI-KPDC-00001282_2 All-Sky image data of the airglow emissions at Jang Bogo Station, Antarctica at 2019 AMD_KOPRI STAC Catalog 2019-03-11 2019-09-30 164.14, -74.37, 164.14, -74.37 https://cmr.earthdata.nasa.gov/search/concepts/C2244305847-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at Jang Bogo Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude MLT region proprietary
KOPRI-KPDC-00001282_2 All-Sky image data of the airglow emissions at Jang Bogo Station, Antarctica at 2019 ALL STAC Catalog 2019-03-11 2019-09-30 164.14, -74.37, 164.14, -74.37 https://cmr.earthdata.nasa.gov/search/concepts/C2244305847-AMD_KOPRI.umm_json All-Sky image data of OI 557.7nm, OI 630.0nm, Na 589.7nm, and OH Meinel band airglow emissions obtained at Jang Bogo Station, Antarctica Study of the atmospheric wave activities in the southern high-latitude MLT region proprietary
@@ -9741,8 +9743,8 @@ KOPRI-KPDC-00001418_1 Eddy covariance data at DASAN Station in 2019 AMD_KOPRI ST
KOPRI-KPDC-00001420_2 Marine heat flow in Chukchi Plateau and East Siberian shelf areas on Arctic ocean 2019 AMD_KOPRI STAC Catalog 2019-09-01 2019-09-17 165.5, 72.9, -162.5, 77.2 https://cmr.earthdata.nasa.gov/search/concepts/C2244307184-AMD_KOPRI.umm_json Heat flow measurements in Chukchi Plateau and East Siberian shelf areas on Arctic ocean Investigation to the thermal structure in Chukchi Plateau and East Siberian shelf areas on Arctic ocean proprietary
KOPRI-KPDC-00001421_1 Hydrocasting observation of conductivity, temperature, and depth (CTD) AMD_KOPRI STAC Catalog 2019-08-30 2019-09-20 165.640667, 73.456833, -169.736, 77.132 https://cmr.earthdata.nasa.gov/search/concepts/C2244304657-AMD_KOPRI.umm_json Warming the Arctic surface ocean due to influx of warm Pacific water not only leads to the declining of the sea ice extent but also triggers melting gas hydrate stored in the Arctic Sea floor of the continental shelf areas. Methane (CH4) is the most abundant hydrocarbon in the atmosphere, where it plays a much more effective role as the greenhouse gas than carbon dioxide (CO2). To understand the behavior of gas hydrate in the sediment and to estimate the CH4 fluxes from the sediment through the water column to the atmosphere, we obtained data on water temperature, salinity, density and fluorescence in the water column. proprietary
KOPRI-KPDC-00001422_2 Surface observation of CH4 in the atmosphere and ocean AMD_KOPRI STAC Catalog 2019-08-30 2019-09-20 165.640667, 64.49025, -156.825778, 77.132 https://cmr.earthdata.nasa.gov/search/concepts/C2244305666-AMD_KOPRI.umm_json Warming the Arctic surface ocean due to influx of warm Pacific water not only leads to the declining of the sea ice extent but also triggers melting gas hydrate stored in the Arctic Sea floor of the continental shelf areas. Methane (CH4) is the most abundant hydrocarbon in the atmosphere, where it plays a much more effective role as the greenhouse gas than carbon dioxide (CO2). We study to estimate the CH4 fluxes on the interface of air and seawater. The CH4 in the ambient air and the surface water were quantitatively measured along the ship track. proprietary
-KOPRI-KPDC-00001423_2 2019 Arctic Araon Cruise (ARA10C) sediment cores (multiple, gravity, and box cores) ALL STAC Catalog 2019-08-29 2019-09-20 167.676767, 73.69587, 179.98125, 77.132017 https://cmr.earthdata.nasa.gov/search/concepts/C2244305039-AMD_KOPRI.umm_json Sediment cores during ARA10C were collected for various scientific research including methane cycle, sedimentology, paleontology, microbiology, organic geochemistry, etc. proprietary
KOPRI-KPDC-00001423_2 2019 Arctic Araon Cruise (ARA10C) sediment cores (multiple, gravity, and box cores) AMD_KOPRI STAC Catalog 2019-08-29 2019-09-20 167.676767, 73.69587, 179.98125, 77.132017 https://cmr.earthdata.nasa.gov/search/concepts/C2244305039-AMD_KOPRI.umm_json Sediment cores during ARA10C were collected for various scientific research including methane cycle, sedimentology, paleontology, microbiology, organic geochemistry, etc. proprietary
+KOPRI-KPDC-00001423_2 2019 Arctic Araon Cruise (ARA10C) sediment cores (multiple, gravity, and box cores) ALL STAC Catalog 2019-08-29 2019-09-20 167.676767, 73.69587, 179.98125, 77.132017 https://cmr.earthdata.nasa.gov/search/concepts/C2244305039-AMD_KOPRI.umm_json Sediment cores during ARA10C were collected for various scientific research including methane cycle, sedimentology, paleontology, microbiology, organic geochemistry, etc. proprietary
KOPRI-KPDC-00001424_1 Manganese nodule samples in the East siberian shelf (2019 ARA10C cruise) AMD_KOPRI STAC Catalog 2019-08-29 2019-11-20 176.338742, 74.921332, 179.055023, 75.799365 https://cmr.earthdata.nasa.gov/search/concepts/C2244305407-AMD_KOPRI.umm_json We collected the manganese nodule by dredge to study the distribution of manganese nodule in the East siberian sea, Arctic Ocean. proprietary
KOPRI-KPDC-00001425_1 Ship-borne radiosonde observation data over the Arctic Ocean in the 2016 Araon summer expedition(ARA07B,ARA07C) AMD_KOPRI STAC Catalog 2016-08-06 2016-09-08 179.619, 66.819, 179.024, 78.547 https://cmr.earthdata.nasa.gov/search/concepts/C2244301446-AMD_KOPRI.umm_json The radiosonde balloon sounding observations were performed from 6 August 2016 to 8 September 2016 to obtain the Arctic Ocean high-resolution atmospheric vertical profiles along the IBRV Araon cruise track at four times daily intervals(00,06,12, and 18UTC). The data include vertical profiles of temperature, humidity, pressure, wind speed, and wind direction up to about 30km. The data have been used for the data assimilation of the KOPRI Arctic weather forecast system. proprietary
KOPRI-KPDC-00001426_1 Ship-borne radiosonde observation data over the Arctic Ocean in the 2017 Araon summer expedition(ARA08B,ARA08C) AMD_KOPRI STAC Catalog 2017-08-07 2017-09-13 179.183, 65.174, 179.086, 77.991 https://cmr.earthdata.nasa.gov/search/concepts/C2244301491-AMD_KOPRI.umm_json The radiosonde balloon sounding observations were performed from 7 August 2017 to 13 September 2017 to obtain the Arctic Ocean high-resolution atmospheric vertical profiles along the IBRV Araon cruise track at four times daily intervals(00,06,12, and 18UTC). The data include vertical profiles of temperature, humidity, pressure, wind speed, and wind direction up to about 30km. The data have been used for the data assimilation of the KOPRI Arctic weather forecast system. proprietary
@@ -9821,8 +9823,8 @@ KOPRI-KPDC-00001501_2 Temporal variation of marine phytoplankton in the surface
KOPRI-KPDC-00001502_4 Soil physicochemical data from Barton and Weaver peninsula in King George Island at 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-01-31 -58.8, -62.233333, -58.766664, -62.2 https://cmr.earthdata.nasa.gov/search/concepts/C2244301429-AMD_KOPRI.umm_json Physicochemical data (pH, EC, TC, TIC, TN and soil texture) of glacier foreland soil samples obtained from Barton and Weaver Peninsula in King George Island at 2019 proprietary
KOPRI-KPDC-00001503_4 Fungal NGS data from Barton and Weaver peninsula in King George Island at 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-01-31 -58.8, -62.233333, -58.766664, -62.2 https://cmr.earthdata.nasa.gov/search/concepts/C2244301480-AMD_KOPRI.umm_json These data were obtained to examine fungal community structure and reveal the correlation between soil physicochemical factors and soil fungal composition in glacial foreland of the Antarctic. proprietary
KOPRI-KPDC-00001504_1 Soil and freshwater samples of the Antarctic King Sejong Station from Barton Peninsular collected in 2019 AMD_KOPRI STAC Catalog 2020-01-10 2020-01-21 -58.788436, -62.240056, -58.719694, -62.218583 https://cmr.earthdata.nasa.gov/search/concepts/C2244301324-AMD_KOPRI.umm_json Analysis of microbial community structure and diversity in soil and freshwater samples of the Antarctic King Sejong Station from Barton Peninsular in Antarctica Investigation to the terrestrial biodiversity in Barton peninsular for the monitoring by environment change proprietary
-KOPRI-KPDC-00001505_5 All-sky airglow image, King Sejong Station, 2020 AMD_KOPRI STAC Catalog 2020-02-18 2020-09-23 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244307204-AMD_KOPRI.umm_json Airglow(OI 557.7nm, OI 630.0nm, and OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high latitude proprietary
KOPRI-KPDC-00001505_5 All-sky airglow image, King Sejong Station, 2020 ALL STAC Catalog 2020-02-18 2020-09-23 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244307204-AMD_KOPRI.umm_json Airglow(OI 557.7nm, OI 630.0nm, and OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high latitude proprietary
+KOPRI-KPDC-00001505_5 All-sky airglow image, King Sejong Station, 2020 AMD_KOPRI STAC Catalog 2020-02-18 2020-09-23 -58.47, -62.13, -58.47, -62.13 https://cmr.earthdata.nasa.gov/search/concepts/C2244307204-AMD_KOPRI.umm_json Airglow(OI 557.7nm, OI 630.0nm, and OH Meinel band) image measured from all-sky camera at King Sejong Station, Antarctica Study of the atmospheric wave activities in the southern high latitude proprietary
KOPRI-KPDC-00001506_6 Ionospheric scintillation, Kiruna Sweden, 2020 AMD_KOPRI STAC Catalog 2020-01-01 2020-10-20 21.03, 67.53, 21.03, 67.53 https://cmr.earthdata.nasa.gov/search/concepts/C2244307220-AMD_KOPRI.umm_json Amplitude and phase scintillations of GPS signal measured from scintillation monitor at Kiruna, Sweden Study of the ionospheric irregularity in the northern high latitude proprietary
KOPRI-KPDC-00001507_6 Ionospheric scintillation, Dasan Station, 2020 AMD_KOPRI STAC Catalog 2020-01-01 2020-12-31 11.9342, 78.9272, 11.9342, 78.9272 https://cmr.earthdata.nasa.gov/search/concepts/C2244306380-AMD_KOPRI.umm_json Amplitude and phase scintillations of GPS signal measured from scintillation monitor at Dasan station, Arctic Study of the ionospheric irregularity in the northern high latitude proprietary
KOPRI-KPDC-00001508_4 All-sky aurora (proton) image, KHO Longyearbyen, 2020 AMD_KOPRI STAC Catalog 2020-01-01 2020-10-19 16.12, 78.48, 16.12, 78.48 https://cmr.earthdata.nasa.gov/search/concepts/C2244307127-AMD_KOPRI.umm_json Aurora (proton) image measured from all-sky camera at KHO, Longyearbyen Study of the aurora characteristics in thenorthern high latitude proprietary
@@ -9831,8 +9833,8 @@ KOPRI-KPDC-00001509_1 2019-2020 Barton Peninsular micro-climate data_HOBO soil t
KOPRI-KPDC-00001509_1 2019-2020 Barton Peninsular micro-climate data_HOBO soil temp., PAR, air temp., relative humidity ALL STAC Catalog 2019-01-19 2020-01-26 -58.788436, -62.240056, -58.719694, -62.218583 https://cmr.earthdata.nasa.gov/search/concepts/C2244301374-AMD_KOPRI.umm_json Micro-climate data set from Barton Peninsular in Antarctica collected during 1 year, 2019 proprietary
KOPRI-KPDC-00001510_2 Snow cover map of the Barton Peninsula, King George Island, Antarctica AMD_KOPRI STAC Catalog 1986-01-28 2020-01-19 -58.747839, -62.229025, -58.747839, -62.229025 https://cmr.earthdata.nasa.gov/search/concepts/C2244306359-AMD_KOPRI.umm_json Snow cover on the Barton Peninsula, Antarctica extracted from time-series Landsat satellite data proprietary
KOPRI-KPDC-00001511_3 Bacterial NGS data from Barton and Weaver peninsula in King George Island at 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-01-31 -58.8, -62.233333, -58.766664, -62.2 https://cmr.earthdata.nasa.gov/search/concepts/C2244306368-AMD_KOPRI.umm_json These data were obtained to examine bacterial community structure and reveal the correlation between soil physicochemical factors and soil bacterial composition in glacial foreland of the Antarctic. proprietary
-KOPRI-KPDC-00001512_2 2019/20 season Korean Route Traverse based GPS GIS data AMD_KOPRI STAC Catalog 2019-11-07 2020-01-18 149.040453, -77.04815, 164.228789, -74.62405 https://cmr.earthdata.nasa.gov/search/concepts/C2244306379-AMD_KOPRI.umm_json GOAL ○ Development of Korean route and infrastructure such as research camp to approach the Antarctic inland ○ Establishment of support system for the Antarctic inland researches RESEARCH CONTENTS ○ A safe and reliable route expedition to the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researches ○ Construction of logistic camps at the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researches proprietary
KOPRI-KPDC-00001512_2 2019/20 season Korean Route Traverse based GPS GIS data ALL STAC Catalog 2019-11-07 2020-01-18 149.040453, -77.04815, 164.228789, -74.62405 https://cmr.earthdata.nasa.gov/search/concepts/C2244306379-AMD_KOPRI.umm_json GOAL ○ Development of Korean route and infrastructure such as research camp to approach the Antarctic inland ○ Establishment of support system for the Antarctic inland researches RESEARCH CONTENTS ○ A safe and reliable route expedition to the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researches ○ Construction of logistic camps at the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researches proprietary
+KOPRI-KPDC-00001512_2 2019/20 season Korean Route Traverse based GPS GIS data AMD_KOPRI STAC Catalog 2019-11-07 2020-01-18 149.040453, -77.04815, 164.228789, -74.62405 https://cmr.earthdata.nasa.gov/search/concepts/C2244306379-AMD_KOPRI.umm_json GOAL ○ Development of Korean route and infrastructure such as research camp to approach the Antarctic inland ○ Establishment of support system for the Antarctic inland researches RESEARCH CONTENTS ○ A safe and reliable route expedition to the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researches ○ Construction of logistic camps at the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researches proprietary
KOPRI-KPDC-00001513_2 Soil physical and chemical data from Alaska permafrost soil AMD_KOPRI STAC Catalog 2016-10-01 2018-11-30 -163.711, 64.8443, -163.711, 64.8443 https://cmr.earthdata.nasa.gov/search/concepts/C2244306469-AMD_KOPRI.umm_json - Various soil physical and chemical properties are interacting with environment and soil microorganisms. proprietary
KOPRI-KPDC-00001514_3 Continuous monitoring of pCO2 and its relevant parameters in the coast of the Jang Bogo Station, Antarctica, in 2020 AMD_KOPRI STAC Catalog 2020-01-01 2020-10-28 164.2, -74.616667, 164.2, -74.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2244307332-AMD_KOPRI.umm_json In order to conduct long-term monitoring of the acidification of the coastal waters around Antarctica, ocean pCO2 and its relevant physical, chemical, biological parameters start monitoring in 2020. These include atmospheric CO2 concentration, ocean pCO2, seawater temperature, salinity, dissolved oxygen, pH, chlorophyll-a, CDOM, and, turbidity. proprietary
KOPRI-KPDC-00001515_2 Continuous monitoring of nutrients in the coast of the Jang Bogo Station, Antarctica AMD_KOPRI STAC Catalog 2020-01-01 2020-10-28 164.2, -74.616667, 164.2, -74.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2244301504-AMD_KOPRI.umm_json In order to conduct long-term monitoring of the acidification of the coastal waters around Antarctica, nutrients were measured using a QuAAtro auto analyzer (Seal Analytical, Germany) in 2020. proprietary
@@ -9855,8 +9857,8 @@ KOPRI-KPDC-00001531_2 Neutral wind data from FPI installed at Jang Bogo Station,
KOPRI-KPDC-00001532_2 The measurement of geomagnetic field at Jang Bogo Station, Antarctica at 2020 AMD_KOPRI STAC Catalog 2019-10-01 2020-10-31 164.2, -74.623333, 164.2, -74.623333 https://cmr.earthdata.nasa.gov/search/concepts/C2244307086-AMD_KOPRI.umm_json The value of geomagnetic field intensity observed at Jang Bogo Station, Antarctica To investigate the interaction between ionosphere and geomagnetic disturbances proprietary
KOPRI-KPDC-00001533_2 The measurement of geomagnetic field at King Sejong Station, Antarctica at 2020 AMD_KOPRI STAC Catalog 2019-10-01 2020-10-31 -58.783333, -62.216667, -58.783333, -62.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2244307126-AMD_KOPRI.umm_json The value of geomagnetic field intensity observed at KSS, Antarctica To investigate the interaction between ionosphere and geomagnetic disturbances proprietary
KOPRI-KPDC-00001534_2 Ionospheric total electron content monitoring system over Jang Bogo Station, Antarctica at 2020 AMD_KOPRI STAC Catalog 2019-10-01 2020-10-31 164.2, -74.623333, 164.2, -74.623333 https://cmr.earthdata.nasa.gov/search/concepts/C2244307158-AMD_KOPRI.umm_json Total electron content in the ionosphere at JBS station, Antarctica Study of the statistical characteristics of ionosphere in southern high latitude proprietary
-KOPRI-KPDC-00001535_2 2019/20 season Korean Route Traverse heavy machine fuel consumption in Antarctica AMD_KOPRI STAC Catalog 2019-11-07 2020-12-18 149.0976, -77.04815, 164.228789, -74.62405 https://cmr.earthdata.nasa.gov/search/concepts/C2244307169-AMD_KOPRI.umm_json For recording heavy machine operation and fuel consumption during 2019/20 Korean Route Traverse period. Data consist of eight sheets(six Pisten Bullys and two Challenger) proprietary
KOPRI-KPDC-00001535_2 2019/20 season Korean Route Traverse heavy machine fuel consumption in Antarctica ALL STAC Catalog 2019-11-07 2020-12-18 149.0976, -77.04815, 164.228789, -74.62405 https://cmr.earthdata.nasa.gov/search/concepts/C2244307169-AMD_KOPRI.umm_json For recording heavy machine operation and fuel consumption during 2019/20 Korean Route Traverse period. Data consist of eight sheets(six Pisten Bullys and two Challenger) proprietary
+KOPRI-KPDC-00001535_2 2019/20 season Korean Route Traverse heavy machine fuel consumption in Antarctica AMD_KOPRI STAC Catalog 2019-11-07 2020-12-18 149.0976, -77.04815, 164.228789, -74.62405 https://cmr.earthdata.nasa.gov/search/concepts/C2244307169-AMD_KOPRI.umm_json For recording heavy machine operation and fuel consumption during 2019/20 Korean Route Traverse period. Data consist of eight sheets(six Pisten Bullys and two Challenger) proprietary
KOPRI-KPDC-00001536_2 Neutron Monitor installed at Jang Bogo Station, Antarctica at 2020 AMD_KOPRI STAC Catalog 2019-10-01 2020-10-31 164.2, -74.623333, 164.2, -74.623333 https://cmr.earthdata.nasa.gov/search/concepts/C2244307178-AMD_KOPRI.umm_json The Neutron Monitor observes the neutron flux incoming from space to earth's atmosphere over JBS, Antarctica. To study the variation of neutron flux with the strength of solar activity and the relationship between neutron flux and atmospheric constituents. proprietary
KOPRI-KPDC-00001537_3 Biogeochemical data from David glacier AMD_KOPRI STAC Catalog 2019-11-01 2020-10-30 155.784167, -75.709783, 155.784167, -75.709783 https://cmr.earthdata.nasa.gov/search/concepts/C2244307187-AMD_KOPRI.umm_json Environmental evaluation proprietary
KOPRI-KPDC-00001538_1 Underwater logger data in the coast of the Jang Bogo Station, Antarctica AMD_KOPRI STAC Catalog 2017-02-10 2019-11-09 164.242639, -74.627472, 164.242639, -74.627472 https://cmr.earthdata.nasa.gov/search/concepts/C2244301567-AMD_KOPRI.umm_json To monitor ocean environment data (Temperature, Salinity, Chlorophyll a) of ocean water on the coast of the Jang Bogo Station, Antarctica. proprietary
@@ -9879,8 +9881,8 @@ KOPRI-KPDC-00001560_4 Phocid seal tissue samples AMD_KOPRI STAC Catalog 2019-12-
KOPRI-KPDC-00001561_2 Extract Library (2020) AMD_KOPRI STAC Catalog 2020-01-01 2020-12-31 9.986558, 77.563883, 18.280906, 78.644719 https://cmr.earthdata.nasa.gov/search/concepts/C2244306061-AMD_KOPRI.umm_json List of extracts derived from Arctic plants were made. Many extracts can be used in natural product research to provide samples for finding bioactive substances. proprietary
KOPRI-KPDC-00001562_2 The photosynthetic efficiency of antarctic plants with the environmental changes AMD_KOPRI STAC Catalog 2020-01-05 2020-01-24 -58, -62, -58, -62 https://cmr.earthdata.nasa.gov/search/concepts/C2244306078-AMD_KOPRI.umm_json To prospect the community responses of Antarctic Peninsular vegetations with the environmental changes, the photosynthetic efficiency of the representative plant species was measured under the different environmental conditions. proprietary
KOPRI-KPDC-00001563_1 Chlorophyll-a concentration from the Amundsen Sea, Antarctica, 2020 AMD_KOPRI STAC Catalog 2020-01-16 2020-02-16 -145, -74.6, -112, -72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2244302216-AMD_KOPRI.umm_json The phytoplantkon biomass (chl-a) was investigated in the Amundsen Sea, Antarctica from January to February 2020. This data includes investigator and locality for chlorophyll-a concentration. The investigation of chlorophyll-a concentration in the Amundsen Sea, Antarctica 2020. proprietary
-KOPRI-KPDC-00001564_4 2016-8 KOPRI North Greenland Sirius Passet collection (modified) AMD_KOPRI STAC Catalog 2016-07-20 2018-07-19 -42.228333, 82.793333, -42.228333, 82.793333 https://cmr.earthdata.nasa.gov/search/concepts/C2244306091-AMD_KOPRI.umm_json This entry includes the Early Cambrian fossils from Sirius Passet, North Greenland, collected by 2016-2018 KOPRI expedition. The collections include various kinds of marine invertebrates, representing morphology of the early stage of animal evolution. Total of ca. 2000 kg of fossils were collected during 2016-2018 expedition. The Early Cambrian fossils will help us understand the rise of the first animals during the Cambrian Explosion. proprietary
KOPRI-KPDC-00001564_4 2016-8 KOPRI North Greenland Sirius Passet collection (modified) ALL STAC Catalog 2016-07-20 2018-07-19 -42.228333, 82.793333, -42.228333, 82.793333 https://cmr.earthdata.nasa.gov/search/concepts/C2244306091-AMD_KOPRI.umm_json This entry includes the Early Cambrian fossils from Sirius Passet, North Greenland, collected by 2016-2018 KOPRI expedition. The collections include various kinds of marine invertebrates, representing morphology of the early stage of animal evolution. Total of ca. 2000 kg of fossils were collected during 2016-2018 expedition. The Early Cambrian fossils will help us understand the rise of the first animals during the Cambrian Explosion. proprietary
+KOPRI-KPDC-00001564_4 2016-8 KOPRI North Greenland Sirius Passet collection (modified) AMD_KOPRI STAC Catalog 2016-07-20 2018-07-19 -42.228333, 82.793333, -42.228333, 82.793333 https://cmr.earthdata.nasa.gov/search/concepts/C2244306091-AMD_KOPRI.umm_json This entry includes the Early Cambrian fossils from Sirius Passet, North Greenland, collected by 2016-2018 KOPRI expedition. The collections include various kinds of marine invertebrates, representing morphology of the early stage of animal evolution. Total of ca. 2000 kg of fossils were collected during 2016-2018 expedition. The Early Cambrian fossils will help us understand the rise of the first animals during the Cambrian Explosion. proprietary
KOPRI-KPDC-00001565_2 Pondwater sampling from Weaver Peninsula in Antarctica AMD_KOPRI STAC Catalog 2019-12-30 2019-12-30 -58.796361, -62.210889, -58.796361, -62.210889 https://cmr.earthdata.nasa.gov/search/concepts/C2244306104-AMD_KOPRI.umm_json We collected pondwater sample from Weaver Peninsula in Antarctica to investigate the chemical reactions in ice. proprietary
KOPRI-KPDC-00001566_2 Fresh snow sampling from Weaver Peninsula in Antarctica AMD_KOPRI STAC Catalog 2019-12-30 2019-12-30 -58.796361, -62.210889, -58.796361, -62.210889 https://cmr.earthdata.nasa.gov/search/concepts/C2244306125-AMD_KOPRI.umm_json We collected fresh snow sample from Weaver Peninsula in Antarctica to investigate the chemical reactions in ice. proprietary
KOPRI-KPDC-00001567_1 Excitation-emission matrixes(EEM) of Antarctic seawaters(10 of 10) measured using a fluorescence spectrometer(2019-12-19) AMD_KOPRI STAC Catalog 2019-12-19 2019-12-20 169.747342, -57.297208, 169.747342, -57.297208 https://cmr.earthdata.nasa.gov/search/concepts/C2244302260-AMD_KOPRI.umm_json Abstract : Excitation-emission matrixes (EEM) of Antarctic seawater samples measured using a fluorescence spectrometer Purpose : Understanding optical properties of organic matters in seawater to predict their sources proprietary
@@ -9939,8 +9941,8 @@ KOPRI-KPDC-00001628_3 Weather forecasts over the Arctic region AMD_KOPRI STAC Ca
KOPRI-KPDC-00001629_1 Foraging trips of Chinstrap penguin and Gentoo penguin breeding at Narebski Point from 2006 to 2019 AMD_KOPRI STAC Catalog 2006-12-17 2020-01-02 -58.766667, -62.233333, -58.766667, -62.233333 https://cmr.earthdata.nasa.gov/search/concepts/C2244301271-AMD_KOPRI.umm_json This dataset is the foraging trips of the chick-guarding period penguin obtained by attaching a GPS logger and a time depth recorder device to Chinstrap penguin and Gentoo penguin at Narebski Point from December 2006 to January 2020. In sheet1 and sheet2, the coordinates are recorded in the foraging dive. Separate sheet2 has metadata and parameters of tested penguin. proprietary
KOPRI-KPDC-00001630_1 Foraging trips of Adélie penguin breeding at Inexpressible Island on December 2018 AMD_KOPRI STAC Catalog 2018-12-15 2018-12-17 163.65, -74.9, 163.65, -74.9 https://cmr.earthdata.nasa.gov/search/concepts/C2244301300-AMD_KOPRI.umm_json This dataset is the foraging trips of the chick-guarding period penguin obtained by attaching a GPS logger and a time depth recorder device to Adélie penguin at Inexpressible Island on December 2018. In sheet1, the coordinates are recorded in the foraging dive. Separate sheet2 has metadata and parameters of tested penguin. proprietary
KOPRI-KPDC-00001631_2 Foraging trips of Adélie penguin breeding at Adélie Cove on December 2018 AMD_KOPRI STAC Catalog 2018-12-31 2019-01-02 164, -74.75, 164, -74.75 https://cmr.earthdata.nasa.gov/search/concepts/C2244306008-AMD_KOPRI.umm_json This dataset is the foraging trips of the chick-guarding period penguin obtained by attaching a GPS logger and a time depth recorder device to Adélie penguin at Adélie Cove from December 2018 to January 2019. In sheet1, the coordinates are recorded in the foraging dive. Separate sheet2 has metadata and parameters of tested penguin. proprietary
-KOPRI-KPDC-00001632_1 A study on the distribution characteristics of stable oxygen isotope in the Amundsen Sea in 2011 ALL STAC Catalog 2010-12-20 2011-01-20 -145, -74.6, -112, -72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2244301322-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Amundsen Sea, hydrographic survey using IBRV Araon was carried out from December 20, 2010 to January 22, 2011. Oxygen-18 isotopes were analyzed at 21 stations. proprietary
KOPRI-KPDC-00001632_1 A study on the distribution characteristics of stable oxygen isotope in the Amundsen Sea in 2011 AMD_KOPRI STAC Catalog 2010-12-20 2011-01-20 -145, -74.6, -112, -72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2244301322-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Amundsen Sea, hydrographic survey using IBRV Araon was carried out from December 20, 2010 to January 22, 2011. Oxygen-18 isotopes were analyzed at 21 stations. proprietary
+KOPRI-KPDC-00001632_1 A study on the distribution characteristics of stable oxygen isotope in the Amundsen Sea in 2011 ALL STAC Catalog 2010-12-20 2011-01-20 -145, -74.6, -112, -72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2244301322-AMD_KOPRI.umm_json To investigate the controls that affect inorganic carbon in the water column of the Amundsen Sea, hydrographic survey using IBRV Araon was carried out from December 20, 2010 to January 22, 2011. Oxygen-18 isotopes were analyzed at 21 stations. proprietary
KOPRI-KPDC-00001633_1 Observed CTD data and dissolved noble gases along the Dotson Trough, Amundsen Sea, Antarctica in 2011 AMD_KOPRI STAC Catalog 2010-12-26 2011-01-02 -117.6895, -74.2067, -112.4962, -72.4145 https://cmr.earthdata.nasa.gov/search/concepts/C2244301379-AMD_KOPRI.umm_json This dataset is dissolved noble gases obtained during ANA01C cruise. The dataset also contain potential temperature, salinity and dissolved oxygen obtained by CTD rosette system. The dataset constituted 5 station along the Dotson Trough, Amundsen Sea. proprietary
KOPRI-KPDC-00001634_2 Lowered Acoustic Doppler Current Profiler (LADCP) data - August 2016, western Arctic Ocean (4 CTD stations) AMD_KOPRI STAC Catalog 2016-08-08 2016-08-27 -175.895, 76.575, -164.155, 77.864 https://cmr.earthdata.nasa.gov/search/concepts/C2244306113-AMD_KOPRI.umm_json The data are the Lowered Acoustic Doppler Current Profiler (LADCP) data obtained from R/V Icebreaker ARAON in August 2016. The dataset contains LADCP data from surface to 100 m depth (5-m interval) at 4 CTD stations (Sts. 23, 24, 29, and 30) aiming at measuring instantaneous current profiles. proprietary
KOPRI-KPDC-00001635_2 Meteorological data at the Jang Bogo Station, Antarctica in 2020 AMD_KOPRI STAC Catalog 2020-01-01 2020-12-31 164.228333, -74.623333, 164.228333, -74.623333 https://cmr.earthdata.nasa.gov/search/concepts/C2244306204-AMD_KOPRI.umm_json Meteorological observation was carried out at the Jang Bogo Station in 2020. Observational elements are composed of wind, air temperature, relative humidity, station level atmospheric pressure, visibility, snow depth, cloud height, and precipitation. Goals of this observation are 1) to understand meteorological phenomena and 2) to monitor climate change at Antarctica. These data are recorded automatically then examined by meteorological expert at the station to be produced as a daily, monthly, and annual report. To understand weather phenomena and to monitor climate variation at Jang Bogo Station, Antarctica proprietary
@@ -9978,8 +9980,8 @@ KOPRI-KPDC-00001666_2 Wind data on ARAON DaDis for Antarctic cruise, 2020/2021 A
KOPRI-KPDC-00001667_2 Upper O3 observation data at Jang Bogo Station in 2019 AMD_KOPRI STAC Catalog 2019-01-17 2019-11-28 164.232072, -74.623811, 164.232072, -74.623811 https://cmr.earthdata.nasa.gov/search/concepts/C2244306388-AMD_KOPRI.umm_json Regular upper O3 observation is made once a week from SEP to NOV, and a month except for the preceding period. O3 is sampled and recorded every a second. Monitoring of changes in meteorological variables (O3) with altitude over Jang Bogo station. proprietary
KOPRI-KPDC-00001668_2 Upper O3 observation data at Jang Bogo Station in 2020 AMD_KOPRI STAC Catalog 2020-01-16 2020-12-17 164.232072, -74.623811, 164.232072, -74.623811 https://cmr.earthdata.nasa.gov/search/concepts/C2244306563-AMD_KOPRI.umm_json Regular upper O3 observation is made once a week from SEP to NOV, and a month except for the preceding period. O3 is sampled and recorded every a second. Monitoring of changes in meteorological variables (O3) with altitude over Jang Bogo station. proprietary
KOPRI-KPDC-00001669_2 Upper O3 observation data at Jang Bogo Station in 2021 AMD_KOPRI STAC Catalog 2021-01-02 2021-06-10 164.232072, -74.623811, 164.232072, -74.623811 https://cmr.earthdata.nasa.gov/search/concepts/C2244306666-AMD_KOPRI.umm_json Regular upper O3 observation is made once a week from SEP to NOV, and a month except for the preceding period. O3 is sampled and recorded every a second. Monitoring of changes in meteorological variables (O3) with altitude over Jang Bogo station. proprietary
-KOPRI-KPDC-00001671_3 2018&19 Multibeam data of Terra Nova Bay (around Jang Bogo station) AMD_KOPRI STAC Catalog 2019-02-14 2019-02-15 163.984928, -74.73604, 164.57053, -74.610485 https://cmr.earthdata.nasa.gov/search/concepts/C2244306725-AMD_KOPRI.umm_json The necessity of supplying charts for securing the safety required for navigation and berthing of small ships for research activities and support around the Jang Bogo station increased. Accordingly, in the 2018&19 season, the bathymetry survey was conducted in Terra Noval Bay using the IBRV Araon / Multibeam equipment is EM122 of Kongsberg proprietary
KOPRI-KPDC-00001671_3 2018&19 Multibeam data of Terra Nova Bay (around Jang Bogo station) ALL STAC Catalog 2019-02-14 2019-02-15 163.984928, -74.73604, 164.57053, -74.610485 https://cmr.earthdata.nasa.gov/search/concepts/C2244306725-AMD_KOPRI.umm_json The necessity of supplying charts for securing the safety required for navigation and berthing of small ships for research activities and support around the Jang Bogo station increased. Accordingly, in the 2018&19 season, the bathymetry survey was conducted in Terra Noval Bay using the IBRV Araon / Multibeam equipment is EM122 of Kongsberg proprietary
+KOPRI-KPDC-00001671_3 2018&19 Multibeam data of Terra Nova Bay (around Jang Bogo station) AMD_KOPRI STAC Catalog 2019-02-14 2019-02-15 163.984928, -74.73604, 164.57053, -74.610485 https://cmr.earthdata.nasa.gov/search/concepts/C2244306725-AMD_KOPRI.umm_json The necessity of supplying charts for securing the safety required for navigation and berthing of small ships for research activities and support around the Jang Bogo station increased. Accordingly, in the 2018&19 season, the bathymetry survey was conducted in Terra Noval Bay using the IBRV Araon / Multibeam equipment is EM122 of Kongsberg proprietary
KOPRI-KPDC-00001672_3 2016&17 Multibeam data of Terra Nova Bay (around Jang Bogo station) AMD_KOPRI STAC Catalog 2017-01-29 2017-02-06 163.984928, -74.73604, 164.57053, -74.610485 https://cmr.earthdata.nasa.gov/search/concepts/C2244306756-AMD_KOPRI.umm_json The necessity of supplying charts for securing the safety required for navigation and berthing of small ships for research activities and support around the Jang Bogo station increased. Accordingly, in the 2016&17 season, the bathymetry survey was conducted in Terra Noval Bay using the IBRV Araon / Multibeam equipment is EM122 of Kongsberg proprietary
KOPRI-KPDC-00001672_3 2016&17 Multibeam data of Terra Nova Bay (around Jang Bogo station) ALL STAC Catalog 2017-01-29 2017-02-06 163.984928, -74.73604, 164.57053, -74.610485 https://cmr.earthdata.nasa.gov/search/concepts/C2244306756-AMD_KOPRI.umm_json The necessity of supplying charts for securing the safety required for navigation and berthing of small ships for research activities and support around the Jang Bogo station increased. Accordingly, in the 2016&17 season, the bathymetry survey was conducted in Terra Noval Bay using the IBRV Araon / Multibeam equipment is EM122 of Kongsberg proprietary
KOPRI-KPDC-00001673_2 Multibeam data, Australian-Antarctic Ridge (AAR) and the Pacific-Antarctic Ridge (PAR), 2020/21 season AMD_KOPRI STAC Catalog 2020-11-28 2020-11-29 -179.79775, -66.58295, -176.64499, -64.11792 https://cmr.earthdata.nasa.gov/search/concepts/C2244306908-AMD_KOPRI.umm_json During 2020/2021 summer season, due to sea ice, we obtained high resolution bathymetric data and marine magnetic data for only one short spreading-segment in “large-scaled spreading and fracture zones (or leaky transform faults)” located between the Australian-Antarctic Ridge (AAR) and the Pacific-Antarctic Ridge (PAR). It is expected that it will be able to contribute to the investigations for the tectonic evolution of the Antarctica related to the Australian-Pacific-Antarctic plates and the evolution of the Zealandia-Antarctic mantle, through the bathymetric and magnetic data that will be accumulated in the future. proprietary
@@ -10082,8 +10084,8 @@ KOPRI-KPDC-00001773_2 Genes involved in adaptation to marine environment in Ceta
KOPRI-KPDC-00001774_1 Weddell Seal hair sample (196296) AMD_KOPRI STAC Catalog 2020-12-21 2020-12-21 164.225806, -74.624389, 164.225806, -74.624389 https://cmr.earthdata.nasa.gov/search/concepts/C2244302383-AMD_KOPRI.umm_json Hair samples were collected to study breeding ecology and adaptation of Weddell seals in Antarctic. proprietary
KOPRI-KPDC-00001776_4 CTD data (2011-2019), XCTD data (2017-2019) AMD_KOPRI STAC Catalog 2011-08-01 2019-08-31 177, 72.5, -150, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2244306846-AMD_KOPRI.umm_json To investigate variations of water masses in the Chukchi Borderland proprietary
KOPRI-KPDC-00001777_2 Soil physicochemical data from two long-term chronosequences (Ardley Island and King George Island) in 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-01-31 -58.93333, -62.233333, -58.766667, -62.216666 https://cmr.earthdata.nasa.gov/search/concepts/C2244306274-AMD_KOPRI.umm_json Physicochemical data (pH, EC, TC, SOC, TIC, TN and soil texture) of glacier foreland soil samples obtained from Ardley and King George Island at 2019 proprietary
-KOPRI-KPDC-00001778_2 2020/21 season Korean Route Traverse based GPS GIS data ALL STAC Catalog 2020-12-01 2020-12-31 164.2362, -74.6281, 164.2362, -74.6281 https://cmr.earthdata.nasa.gov/search/concepts/C2244306293-AMD_KOPRI.umm_json GOAL ○ Development of Korean route and infrastructure such as research camp to approach the Antarctic inland ○ Establishment of support system for the Antarctic inland researches RESEARCH CONTENTS ○ A safe and reliable route expedition to the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researches ○ Construction of logistic camps at the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researche proprietary
KOPRI-KPDC-00001778_2 2020/21 season Korean Route Traverse based GPS GIS data AMD_KOPRI STAC Catalog 2020-12-01 2020-12-31 164.2362, -74.6281, 164.2362, -74.6281 https://cmr.earthdata.nasa.gov/search/concepts/C2244306293-AMD_KOPRI.umm_json GOAL ○ Development of Korean route and infrastructure such as research camp to approach the Antarctic inland ○ Establishment of support system for the Antarctic inland researches RESEARCH CONTENTS ○ A safe and reliable route expedition to the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researches ○ Construction of logistic camps at the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researche proprietary
+KOPRI-KPDC-00001778_2 2020/21 season Korean Route Traverse based GPS GIS data ALL STAC Catalog 2020-12-01 2020-12-31 164.2362, -74.6281, 164.2362, -74.6281 https://cmr.earthdata.nasa.gov/search/concepts/C2244306293-AMD_KOPRI.umm_json GOAL ○ Development of Korean route and infrastructure such as research camp to approach the Antarctic inland ○ Establishment of support system for the Antarctic inland researches RESEARCH CONTENTS ○ A safe and reliable route expedition to the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researches ○ Construction of logistic camps at the sites of the Subglacial Lake and Deep Ice Core drilling for Antarctic inland researche proprietary
KOPRI-KPDC-00001779_3 LoopSeq amplicon sequencing data of microbial 16S-18S-ITS long reads from King George Island in 2019 AMD_KOPRI STAC Catalog 2019-01-01 2019-01-31 -58.93333, -62.216666, -58.93333, -62.216666 https://cmr.earthdata.nasa.gov/search/concepts/C2244306309-AMD_KOPRI.umm_json Loopseq long sequencing read data amplified 16S-18S, 18S-ITS region through synthetic long-read (SLR) sequencing technology to identify microbial species in glacial forelands of the Antarctic. proprietary
KOPRI-KPDC-00001780_7 Multibeam data (around Orca seamount in Bransfield strait) / 2020&21 season ANA11B AMD_KOPRI STAC Catalog 2021-01-23 2021-01-28 -58.8341, -62.55474, -57.84559, -62.38568 https://cmr.earthdata.nasa.gov/search/concepts/C2244306329-AMD_KOPRI.umm_json Since last year, the frequency of earthquakes has increased in the vicinity of Orca seamount in the Bransfield Strait. Accordingly, in order to confirm the change of the submarine topography due to the earthquake, a side line was set in the epicenter where earthquakes mainly occur and the area covering the Orca seamount, and multi-beam survey was conducted. The survey area shows a distribution of water depth of -300 to -2000m. The observation results that have been post-processed will be used as basic data to analyze geological and geophysical characteristics of the region in the future. proprietary
KOPRI-KPDC-00001781_5 KPSN Seismic Data at Victoria Land, Antarctic 2020 AMD_KOPRI STAC Catalog 2020-01-01 2020-12-31 159.085, -75.605, 165.7361, -74.137 https://cmr.earthdata.nasa.gov/search/concepts/C2244306339-AMD_KOPRI.umm_json To monitor the activites of Mt. Melbourne and glacial movements proprietary
@@ -10175,8 +10177,8 @@ KOPRI-KPDC-00001874_1 ARA12C Manganese nodule samples data AMD_KOPRI STAC Catalo
KOPRI-KPDC-00001875_2 ARA12C Multibeam data AMD_KOPRI STAC Catalog 2021-08-19 2021-09-08 169.916833, 72.936, 165.9715, 76.838667 https://cmr.earthdata.nasa.gov/search/concepts/C2244306722-AMD_KOPRI.umm_json Multibeam data were collected during the 2021 ARA12C cruise in Chukchi Plateau and East Siberian shelf areas on Arctic ocean An accurate bathymetry survey for the unknown area. Bathymetric data collected using a MBES during marine scientific survey is essential for geologic and oceanographic. proprietary
KOPRI-KPDC-00001876_2 ARA12C Sub-bottom profiler(SBP) data AMD_KOPRI STAC Catalog 2021-08-19 2021-09-08 169.916833, 72.936, 165.9715, 76.838667 https://cmr.earthdata.nasa.gov/search/concepts/C2244306731-AMD_KOPRI.umm_json Sub-bottom profiler data were collected during the 2021 ARA12C cruise in the Arctic Ocean. proprietary
KOPRI-KPDC-00001877_1 Soil temperature and moisture data collected from winter climate manipulation plots in Cambridge Bay, Canada from 06/2019 to 09/2021 AMD_KOPRI STAC Catalog 2019-06-24 2021-09-19 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244306028-AMD_KOPRI.umm_json To monitor the changes in climate properties in soil by increasing snow depth by snow fence, micro-climate data (soil volumetric content for 5 and 20 cm depth, and temperature for 5, 10 and 20 cm depth) for 2 year (2019.06.24.~2021.09.19) were collected. proprietary
-KOPRI-KPDC-00001878_1 Air temperature and humidity data collected from summer climate manipulation plots in Cambridge Bay, Canada from 06/2019 to 09/2021 ALL STAC Catalog 2019-06-01 2021-09-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244306037-AMD_KOPRI.umm_json To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation, micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 2 year (2019.06.01~2021.09.18) were collected proprietary
KOPRI-KPDC-00001878_1 Air temperature and humidity data collected from summer climate manipulation plots in Cambridge Bay, Canada from 06/2019 to 09/2021 AMD_KOPRI STAC Catalog 2019-06-01 2021-09-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244306037-AMD_KOPRI.umm_json To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation, micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 2 year (2019.06.01~2021.09.18) were collected proprietary
+KOPRI-KPDC-00001878_1 Air temperature and humidity data collected from summer climate manipulation plots in Cambridge Bay, Canada from 06/2019 to 09/2021 ALL STAC Catalog 2019-06-01 2021-09-18 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244306037-AMD_KOPRI.umm_json To monitor the changes in micro-climate properties of air by increasing temperature by open top chambers and increasing precipitation, micro-climate data (air temperature and humidity for 20 cm height) from climate manipulation (combination of warming and precipitation) plots for 2 year (2019.06.01~2021.09.18) were collected proprietary
KOPRI-KPDC-00001879_1 Soil temperature and moisture content data collected from summer climate manipulation plots in Cambridge Bay, Canada from 06/2019 to 09/2021 AMD_KOPRI STAC Catalog 2019-06-01 2021-09-20 -105.133333, 69.1, -105.133333, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2244306048-AMD_KOPRI.umm_json To monitor the changes in micro-climate properties in soil by increasing temperature by open top chambers and increasing precipitation, micro-climate data (soil volumetric content and temperature for 5 cm depth) from climate manipulation (combination of warming and precipitation) plots for 2 year (2019.06.01.~2021.09.20) were collected. proprietary
KOPRI-KPDC-00001880_2 Meteorological data of Nord site in 2021 AMD_KOPRI STAC Catalog 2021-01-01 2021-10-31 -16.64025, 81.581167, -16.64025, 81.581167 https://cmr.earthdata.nasa.gov/search/concepts/C2244306307-AMD_KOPRI.umm_json This is the meteorological data of Nord in 2021. Unlike previous years when an AWS sensor was used, ERA5 reanalysis data was downscaled for the location because there was problem of the AWS datalogger which was caused by absence of maintenance for longtime due to COVID19 situation since 2020. The meteorological data consists of air temperature, relative humidity, atmospheric pressure, downward solar radiation, and wind at 1-hour interval. proprietary
KOPRI-KPDC-00001881_1 Meteorological data of DASAN station in 2021 AMD_KOPRI STAC Catalog 2021-01-01 2021-09-30 11.865833, 78.921944, 11.865833, 78.921944 https://cmr.earthdata.nasa.gov/search/concepts/C2244306074-AMD_KOPRI.umm_json Meterological observation at DASAN Station data. Continuous meteorological monitoring is required for deep understanding long-term trend of climate change. half hourly averaged data are stored at a data logger. The objectives of this monitoring are to understand characteristics of meteorological phenomena at DASAN Station proprietary
@@ -10252,8 +10254,8 @@ Kuparuk_Veg_Maps_1378_1 Maps of Vegetation Types and Physiographic Features, Kup
Kuroshio_Area_0 Measurements in the Kuroshio current OB_DAAC STAC Catalog 1997-11-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360413-OB_DAAC.umm_json Measurements in the Kuroshio, western boundary current in the North Pacific Ocean, from 1997. proprietary
Kyle-Ferrar_Igneous_Province 40Ar/39Ar dates of Jurassic igneous rocks from Antarctica SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, -62.83 https://cmr.earthdata.nasa.gov/search/concepts/C1214612994-SCIOPS.umm_json Plagioclase mineral separates from basaltic extrusive (lavas) and instrusive (dolerite and gabbro) samples from the Dronning Maud Land area of Antarctica were dated by the incremental heating 40Ar/39Ar method. 32 individual samples were dated with 11 samples having duplicate analyses. proprietary
Kyle-Ferrar_Igneous_Province 40Ar/39Ar dates of Jurassic igneous rocks from Antarctica ALL STAC Catalog 1970-01-01 -180, -90, 180, -62.83 https://cmr.earthdata.nasa.gov/search/concepts/C1214612994-SCIOPS.umm_json Plagioclase mineral separates from basaltic extrusive (lavas) and instrusive (dolerite and gabbro) samples from the Dronning Maud Land area of Antarctica were dated by the incremental heating 40Ar/39Ar method. 32 individual samples were dated with 11 samples having duplicate analyses. proprietary
-L1B_Wind_Products_3.0 Aeolus preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers ESA STAC Catalog 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689596-ESA.umm_json The Level 1B wind product of the Aeolus mission contains the preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers, which are generated in Near Real Time. Standard atmospheric correction (Rayleigh channel), receiver response and bias correction is applied. The product is generated within 3 hours after data acquisition. proprietary
L1B_Wind_Products_3.0 Aeolus preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers ALL STAC Catalog 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689596-ESA.umm_json The Level 1B wind product of the Aeolus mission contains the preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers, which are generated in Near Real Time. Standard atmospheric correction (Rayleigh channel), receiver response and bias correction is applied. The product is generated within 3 hours after data acquisition. proprietary
+L1B_Wind_Products_3.0 Aeolus preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers ESA STAC Catalog 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689596-ESA.umm_json The Level 1B wind product of the Aeolus mission contains the preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers, which are generated in Near Real Time. Standard atmospheric correction (Rayleigh channel), receiver response and bias correction is applied. The product is generated within 3 hours after data acquisition. proprietary
L2B_Wind_Products_3.0 Aeolus Scientific L2B Rayleigh/Mie wind product ALL STAC Catalog 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689544-ESA.umm_json The Level 2B wind product of the Aeolus mission is a geo-located consolidated HLOS (horizontal line-of-sight) wind observation with actual atmospheric correction applied to Rayleigh channel. The product is generated by within 3 hours after data acquisition. proprietary
L2B_Wind_Products_3.0 Aeolus Scientific L2B Rayleigh/Mie wind product ESA STAC Catalog 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689544-ESA.umm_json The Level 2B wind product of the Aeolus mission is a geo-located consolidated HLOS (horizontal line-of-sight) wind observation with actual atmospheric correction applied to Rayleigh channel. The product is generated by within 3 hours after data acquisition. proprietary
L2C_Wind_products_5.0 Aeolus Level 2C assisted wind fields resulting from NWP Numerical Weather Prediction assimilation processing ALL STAC Catalog 2020-07-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280864-ESA.umm_json The Level 2C wind product of the Aeolus mission provides ECMWF analysis horizontal wind vectors at the geolocations of assimilated L2B HLOS wind components. The L2C can therefore be described as an Aeolus-assisted horizontal wind vector product. The L2C is a distinct product, however the L2C and L2B share a common Earth Explorer file template, with the L2C being a superset of the L2B. The L2C consists of extra datasets appended to the L2B product with information which are relevant to the data assimilation of the L2B winds. proprietary
@@ -10393,8 +10395,8 @@ LC35_Landsat7_Fire_Masks_1071_1 LBA-ECO LC-35 Landsat ETM+ Derived Active Fire M
LC39_DECAF_Model_1190_1 LBA-ECO LC-39 Modeled Carbon Flux from Deforestation, Mato Grosso, Brazil: 2000-2006 ORNL_CLOUD STAC Catalog 2000-10-01 2006-09-30 -63.85, -20, -50.76, -10 https://cmr.earthdata.nasa.gov/search/concepts/C2781588541-ORNL_CLOUD.umm_json This data set contains modeled estimates of carbon flux, biomass, and annual burning emissions across the Brazilian state of Mato Grosso from 2000-2006. The model, DEforestation CArbon Flux (DECAF), was used to provide annual carbon fluxes from large deforestation events (>25 ha) based on post-deforestation land use, and the frequency and duration of active fires during the deforestation process. Carbon fluxes associated with the conversion of Cerrado to mechanized crop production, fires in Cerrado, and managed pasture cover types were also estimated. Model data outputs provided include: * Estimated aboveground live biomass from DECAF in 2000 and 2004.* Annual biomass burning emissions estimates for 2001-2005 from low, middle, and high emissions scenarios with DECAF. There are 15 GeoTIFF files for annual emissions which represent the carbon emissions per pixel in grams of carbon per m2 (g C m-2). Model data inputs provided include: * Annual burn trajectories for 2001 - 2005, including deforestation, Cerrado land cover conversion, and fires in pasture and Cerrado ecosystems unrelated to agricultural expansion. These data were assembled from three sources: MODIS 500-m burned area maps, annual deforestation based on data from the INPE PRODES program, and the conversion of Cerrado savannah/woodland to cropland estimated from land cover information from MODIS phenology metrics.* Annual land cover data 2001-2004 for the portion of Mato Grosso covered by MODIS phenology metrics, tile h12v10, updated based on annual land cover changes in Amazon forest and Cerrado cover types.* Monthly Normalized Difference Vegetation Index (NDVI) for MODIS tile h12v10 from 10/2000 - 09/2006, based on cloud and gap-filled 16-day NDVI data from MODIS Collection 4 16-day NDVI composites MOD13 product (Huete et al., 2002).There are six compressed (*.gz) files with this data set. proprietary
LC39_MODIS_Fire_SA_1186_1 LBA-ECO LC-39 MODIS Active Fire and Frequency Data for South America: 2000-2007 ORNL_CLOUD STAC Catalog 2000-03-01 2007-12-31 -81.29, -34.86, -53.31, 11.75 https://cmr.earthdata.nasa.gov/search/concepts/C2781578636-ORNL_CLOUD.umm_json This data set provides active fire locations and estimates of annual fire frequencies for South America from 2000-2007. Data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Terra (2000-2007) and Aqua (2003-2007) satellite platforms were analyzed to determine spatial and temporal patterns in satellite fire detections. The analysis considered a high-confidence subset of all MODIS fire detections to reduce the influence of false fire detections over small forest clearings in Amazonia (Schroeder et al., 2008). The number of unique days on which the active fire detections were recorded within a 1 km radius was estimated from the subset of active fire detections and the ArcGIS neighborhood variety algorithm. There are 14 data files with this data set: 7 GeoTIFF (.tif) files of fire frequency at MODIS 250 m resolution, where each grid cell value represents the number of days in that year on which active fires were detected, and 7 shape files of active fire locations for the years 2001-2007. proprietary
LD2012-d18O-Native-age_1 "Annual Mean Water Isotope (d18O) Record for the ""DSS"" Law Dome Ice Core" AU_AADC STAC Catalog 0174-01-01 2007-12-31 112.81, -66.77, 112.81, -66.77 https://cmr.earthdata.nasa.gov/search/concepts/C1214313595-AU_AADC.umm_json "The LD2012-d18O-Native-age record is the annual mean water isotope (d18O) record for the ""DSS"" (Dome Summit South) Law Dome ice core with extensions (e.g. As described in van Ommen et al., Nature Geoscience, 2010) from overlapping ice cores which are dated by comparing multiple chemical species as well as water isotopes. LD2012-d18O-Native-age record spans 2007 A.D. to 174 A.D. The d18O measurements were completed using Isotope Ratio Mass Spectrometers. This work was done as part of AAS 757 and AAS 4061." proprietary
-LDEO_INDICES_INDIA All-India Monsoon Rainfall Index at LDEO/IRI Climate Data Library ALL STAC Catalog 1813-06-01 1998-09-30 70, -10, 90, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1214614350-SCIOPS.umm_json An all-India summer monsoon rainfall series for the instrumental period of 1844-1991 has been constructed using a progressively increasing station density to 1870, and one that is fixed thereafter at a uniformly distributed 36 stations. The statistical scheme accounts for the increasing variance contributed to the all-India series by the increasing number of stations during the period 1844-1870. An interesting outcome of this study is that a reliable estimate of summer monsoon rainfall over India can be obtained using only 36 observations. proprietary
LDEO_INDICES_INDIA All-India Monsoon Rainfall Index at LDEO/IRI Climate Data Library SCIOPS STAC Catalog 1813-06-01 1998-09-30 70, -10, 90, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1214614350-SCIOPS.umm_json An all-India summer monsoon rainfall series for the instrumental period of 1844-1991 has been constructed using a progressively increasing station density to 1870, and one that is fixed thereafter at a uniformly distributed 36 stations. The statistical scheme accounts for the increasing variance contributed to the all-India series by the increasing number of stations during the period 1844-1870. An interesting outcome of this study is that a reliable estimate of summer monsoon rainfall over India can be obtained using only 36 observations. proprietary
+LDEO_INDICES_INDIA All-India Monsoon Rainfall Index at LDEO/IRI Climate Data Library ALL STAC Catalog 1813-06-01 1998-09-30 70, -10, 90, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1214614350-SCIOPS.umm_json An all-India summer monsoon rainfall series for the instrumental period of 1844-1991 has been constructed using a progressively increasing station density to 1870, and one that is fixed thereafter at a uniformly distributed 36 stations. The statistical scheme accounts for the increasing variance contributed to the all-India series by the increasing number of stations during the period 1844-1870. An interesting outcome of this study is that a reliable estimate of summer monsoon rainfall over India can be obtained using only 36 observations. proprietary
LEOLSTCMG30_001 Low Earth Orbit Land Surface Temperature Monthly Global Gridded V001 LPCLOUD STAC Catalog 2002-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2763264753-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) LEOLSTCMG30 version 1 Climate Modeling Grid (CMG) product provides Land Surface Temperature (LST) derived from the Low Earth Orbit (LEO) satellite data record from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) instruments as well as LST error estimates for both day and night. The product will include global LST produced on CMG at monthly timesteps from 2002 to present. The MEaSUREs LEOLST product is generated by regridding the monthly LST CMG products from MODIS (MYD21C3.061) and VIIRS (VNP21C3.002). The product will be available on 0.25, 0.5, and 1 degree optimized climate grids with well characterized per-pixel uncertainties. A low-resolution browse is also available showing LST as an RGB (red, green, blue) image in PNG format. proprietary
LEOLSTCMG30_002 Low Earth Orbit Land Surface Temperature Monthly Global Gridded V002 LPDAAC_ECS STAC Catalog 2002-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2773138594-LPDAAC_ECS.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) LEOLSTCMG30 version 2 Climate Modeling Grid (CMG) product provides Land Surface Temperature (LST) derived from the Low Earth Orbit (LEO) satellite data record from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) instruments as well as LST error estimates for both day and night. The product will include global LST produced on CMG at monthly timesteps from 2002 to present.The MEaSUREs LEOLST product is generated by regridding the monthly CMG products from Aqua MODIS (MYD21C3) and VIIRS (VNP21C3 and VJ121). The product is available on 0.25, 0.5, and 1 degree optimized climate grids with well characterized per-pixel uncertainties. A low-resolution browse is also available showing LST as an RGB (red, green, blue) image in PNG format. proprietary
LEO_0 Long-term Ecosystem Observatory (LEO) oceanographic and meteorological data collection system OB_DAAC STAC Catalog 2001-07-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360429-OB_DAAC.umm_json Measurements from the LEO station off the Atlantic Coast of New Jersey in 2001. proprietary
@@ -10509,8 +10511,8 @@ Lab96_0 Labrador Sea measurements in 1996 OB_DAAC STAC Catalog 1996-10-20 -180,
LakeBathymetry_Model_NSlope_AK_2243_1 Lake Bathymetry Maps derived from Landsat and Random Forest Modeling, North Slope, AK ORNL_CLOUD STAC Catalog 2016-07-01 2018-08-31 -177.47, 56.09, -128.2, 77.26 https://cmr.earthdata.nasa.gov/search/concepts/C2837050574-ORNL_CLOUD.umm_json This dataset provides lake bathymetry maps derived from Landsat surface reflectance products for a portion of the North Slope area of Alaska. A random forest regression algorithm was used to generate depths for each point identified as being part of a lake, creating depth prediction files for each Landsat scene available for the study period: 2016-07-01 to 2018-08-31. These products are fitted to the ABoVE standard projection and reference grid to make them easily scalable and geometrically compatible with other products in the ABoVE study domain. The data are provided in cloud-optimized GeoTIFF (COG) format. proprietary
LakeSuperior_0 University of Rhode Island measurements in Lake Superior OB_DAAC STAC Catalog 2013-05-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360420-OB_DAAC.umm_json Measurements made in Lake Superior by researchers at the University of Rhode Island. proprietary
Lake_MI_2012_WaterQual_0 Water quality monitoring program in Lake Michigan and Green Bay OB_DAAC STAC Catalog 2012-06-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360419-OB_DAAC.umm_json Measurements taken in Lake Michigan and Green Bay in 2012 as part of a water quality monitoring program. proprietary
-Lake_Wetland_Classes_UAVSAR_1883_1 ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019 ORNL_CLOUD STAC Catalog 2017-01-01 2019-09-19 -149.16, 53.71, -107.86, 67.91 https://cmr.earthdata.nasa.gov/search/concepts/C2192619280-ORNL_CLOUD.umm_json This dataset contains a high-resolution land cover classification focused on water and wetland vegetation classes over three NASA ABoVE Campaign regions: Yukon Flats, Alaska, USA; the Peace-Athabasca Delta, Alberta; and the Canadian Shield, Northwest Territories (NWT), Canada. The product was derived from L-band synthetic aperture radar (SAR) acquisitions from the airborne NASA UAVSAR instrument in 2017-2019. The classification was trained and validated from field visits, UAV images, satellite imagery as well as other ABoVE datasets. Classifications in all regions are provided as both preliminary 13-class versions and final, simplified 5-class versions. Training and test data used for the classifier are also included as well as characteristics of lakes in the study area. This land cover classification was developed to support a project focusing on potential methane emissions from the shallow near-shore, or littoral, regions of lakes. The emergent aquatic vegetation classes can be used as a proxy for these littoral zones. Wetland vegetation classifications are provided as gridded raster files with an approximately 5-meter spatial resolution and aligned with the original UAVSAR footprints. Composite mosaics that aggregate these UAVSAR scenes by region and day of acquisition, if applicable, are also provided. Classifications in all regions are provided as both preliminary 13-class versions and final 5-class versions. proprietary
Lake_Wetland_Classes_UAVSAR_1883_1 ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019 ALL STAC Catalog 2017-01-01 2019-09-19 -149.16, 53.71, -107.86, 67.91 https://cmr.earthdata.nasa.gov/search/concepts/C2192619280-ORNL_CLOUD.umm_json This dataset contains a high-resolution land cover classification focused on water and wetland vegetation classes over three NASA ABoVE Campaign regions: Yukon Flats, Alaska, USA; the Peace-Athabasca Delta, Alberta; and the Canadian Shield, Northwest Territories (NWT), Canada. The product was derived from L-band synthetic aperture radar (SAR) acquisitions from the airborne NASA UAVSAR instrument in 2017-2019. The classification was trained and validated from field visits, UAV images, satellite imagery as well as other ABoVE datasets. Classifications in all regions are provided as both preliminary 13-class versions and final, simplified 5-class versions. Training and test data used for the classifier are also included as well as characteristics of lakes in the study area. This land cover classification was developed to support a project focusing on potential methane emissions from the shallow near-shore, or littoral, regions of lakes. The emergent aquatic vegetation classes can be used as a proxy for these littoral zones. Wetland vegetation classifications are provided as gridded raster files with an approximately 5-meter spatial resolution and aligned with the original UAVSAR footprints. Composite mosaics that aggregate these UAVSAR scenes by region and day of acquisition, if applicable, are also provided. Classifications in all regions are provided as both preliminary 13-class versions and final 5-class versions. proprietary
+Lake_Wetland_Classes_UAVSAR_1883_1 ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019 ORNL_CLOUD STAC Catalog 2017-01-01 2019-09-19 -149.16, 53.71, -107.86, 67.91 https://cmr.earthdata.nasa.gov/search/concepts/C2192619280-ORNL_CLOUD.umm_json This dataset contains a high-resolution land cover classification focused on water and wetland vegetation classes over three NASA ABoVE Campaign regions: Yukon Flats, Alaska, USA; the Peace-Athabasca Delta, Alberta; and the Canadian Shield, Northwest Territories (NWT), Canada. The product was derived from L-band synthetic aperture radar (SAR) acquisitions from the airborne NASA UAVSAR instrument in 2017-2019. The classification was trained and validated from field visits, UAV images, satellite imagery as well as other ABoVE datasets. Classifications in all regions are provided as both preliminary 13-class versions and final, simplified 5-class versions. Training and test data used for the classifier are also included as well as characteristics of lakes in the study area. This land cover classification was developed to support a project focusing on potential methane emissions from the shallow near-shore, or littoral, regions of lakes. The emergent aquatic vegetation classes can be used as a proxy for these littoral zones. Wetland vegetation classifications are provided as gridded raster files with an approximately 5-meter spatial resolution and aligned with the original UAVSAR footprints. Composite mosaics that aggregate these UAVSAR scenes by region and day of acquisition, if applicable, are also provided. Classifications in all regions are provided as both preliminary 13-class versions and final 5-class versions. proprietary
LandCoverNet Africa_1 LandCoverNet Africa MLHUB STAC Catalog 2020-01-01 2023-01-01 -15.9378605, -31.6878376, 46.873921, 31.3398255 https://cmr.earthdata.nasa.gov/search/concepts/C2781412437-MLHUB.umm_json LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018. LandCoverNet Africa contains data across Africa, which accounts for ~1/5 of the global dataset. Each pixel is identified as one of the seven land cover classes based on its annual time series. These classes are water, natural bare ground, artificial bare ground, woody vegetation, cultivated vegetation, (semi) natural vegetation, and permanent snow/ice.
There are a total of 1980 image chips of 256 x 256 pixels in LandCoverNet Africa V1.0 spanning 66 tiles. Each image chip contains temporal observations from the following satellite products with an annual class label, all stored in raster format (GeoTIFF files): * Sentinel-1 ground range distance (GRD) with radiometric calibration and orthorectification at 10m spatial resolution * Sentinel-2 surface reflectance product (L2A) at 10m spatial resolution * Landsat-8 surface reflectance product from Collection 2 Level-2
Radiant Earth Foundation designed and generated this dataset with a grant from [Schmidt Futures](https://schmidtfutures.com/) with additional support from [NASA ACCESS](https://earthdata.nasa.gov/esds/competitive-programs/access/radiant-mlhub), [Microsoft AI for Earth](https://www.microsoft.com/en-us/ai/ai-for-earth) and in kind technology support from [Sinergise](https://www.sinergise.com/). proprietary
LandCoverNet Asia_1 LandCoverNet Asia MLHUB STAC Catalog 2020-01-01 2023-01-01 33.0205908, -7.3097478, 160.7091112, 58.6174213 https://cmr.earthdata.nasa.gov/search/concepts/C2781412195-MLHUB.umm_json LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018. LandCoverNet Asia contains data across Asia, which accounts for ~31% of the global dataset. Each pixel is identified as one of the seven land cover classes based on its annual time series. These classes are water, natural bare ground, artificial bare ground, woody vegetation, cultivated vegetation, (semi) natural vegetation, and permanent snow/ice.
There are a total of 2753 image chips of 256 x 256 pixels in LandCoverNet South America V1.0 spanning 92 tiles. Each image chip contains temporal observations from the following satellite products with an annual class label, all stored in raster format (GeoTIFF files):
* Sentinel-1 ground range distance (GRD) with radiometric calibration and orthorectification at 10m spatial resolution
* Sentinel-2 surface reflectance product (L2A) at 10m spatial resolution
* Landsat-8 surface reflectance product from Collection 2 Level-2
Radiant Earth Foundation designed and generated this dataset with a grant from [Schmidt Futures](https://schmidtfutures.com/) with additional support from [NASA ACCESS](https://earthdata.nasa.gov/esds/competitive-programs/access/radiant-mlhub), [Microsoft AI for Earth](https://www.microsoft.com/en-us/ai/ai-for-earth) and in kind technology support from [Sinergise](https://www.sinergise.com/). proprietary
LandCoverNet Australia_1 LandCoverNet Australia MLHUB STAC Catalog 2020-01-01 2023-01-01 123.0069917, -46.1160741, 172.3714334, -14.4766436 https://cmr.earthdata.nasa.gov/search/concepts/C2781412728-MLHUB.umm_json LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018. LandCoverNet Australia contains data across Australia, which accounts for ~7% of the global dataset. Each pixel is identified as one of the seven land cover classes based on its annual time series. These classes are water, natural bare ground, artificial bare ground, woody vegetation, cultivated vegetation, (semi) natural vegetation, and permanent snow/ice.
There are a total of 600 image chips of 256 x 256 pixels in LandCoverNet Australia V1.0 spanning 20 tiles. Each image chip contains temporal observations from the following satellite products with an annual class label, all stored in raster format (GeoTIFF files):
* Sentinel-1 ground range distance (GRD) with radiometric calibration and orthorectification at 10m spatial resolution
* Sentinel-2 surface reflectance product (L2A) at 10m spatial resolution
* Landsat-8 surface reflectance product from Collection 2 Level-2
Radiant Earth Foundation designed and generated this dataset with a grant from [Schmidt Futures](https://schmidtfutures.com/) with additional support from [NASA ACCESS](https://earthdata.nasa.gov/esds/competitive-programs/access/radiant-mlhub), [Microsoft AI for Earth](https://www.microsoft.com/en-us/ai/ai-for-earth) and in kind technology support from [Sinergise](https://www.sinergise.com/). proprietary
@@ -10534,15 +10536,15 @@ Landsat_RBV_8.0 Landsat RBV ESA STAC Catalog 1978-11-01 2018-08-01 20, -90, 50,
Large_River_DOC_Export_0 Export of dissolved organic carbon (DOC) by large rivers OB_DAAC STAC Catalog 2015-05-23 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360426-OB_DAAC.umm_json Measurements taken as a part of a project to quanitfy and assess the export of dissolved organic carbon by large rivers. proprietary
Last_Day_Spring_Snow_1528_1 ABoVE: Last Day of Spring Snow, Alaska, USA, and Yukon Territory, Canada, 2000-2016 ORNL_CLOUD STAC Catalog 2000-04-01 2016-07-02 -175.76, 52.17, -97.95, 68.97 https://cmr.earthdata.nasa.gov/search/concepts/C2162119017-ORNL_CLOUD.umm_json "This dataset provides the last day of spring snow cover for most of Alaska and the Yukon Territory for 2000 through 2016. The data are based on the MODIS daily snow cover fraction product (MODSCAG) and are provided at 500-m resolution. Pixels in the daily snow cover fraction grids from April 1 through July 31 were flagged as ""Snow"" if the snow fraction exceeded 0.15, resulting in a time series of binary daily snow cover grids for each year. The annual last day of spring snow for each pixel was identified by day of the year ranging from 91 (April 1) to 183 (July 2)." proprietary
Last_Day_Spring_Snow_1528_1 ABoVE: Last Day of Spring Snow, Alaska, USA, and Yukon Territory, Canada, 2000-2016 ALL STAC Catalog 2000-04-01 2016-07-02 -175.76, 52.17, -97.95, 68.97 https://cmr.earthdata.nasa.gov/search/concepts/C2162119017-ORNL_CLOUD.umm_json "This dataset provides the last day of spring snow cover for most of Alaska and the Yukon Territory for 2000 through 2016. The data are based on the MODIS daily snow cover fraction product (MODSCAG) and are provided at 500-m resolution. Pixels in the daily snow cover fraction grids from April 1 through July 31 were flagged as ""Snow"" if the snow fraction exceeded 0.15, resulting in a time series of binary daily snow cover grids for each year. The annual last day of spring snow for each pixel was identified by day of the year ranging from 91 (April 1) to 183 (July 2)." proprietary
-Leaf_Carbon_Nutrients_1106_1 A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves ALL STAC Catalog 1970-01-01 2009-12-31 -159.7, -50, 176.9, 68.5 https://cmr.earthdata.nasa.gov/search/concepts/C2784383820-ORNL_CLOUD.umm_json This data set provides carbon (C), nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) concentrations in green and senesced leaves. Vegetation characteristics reported include species growth habit, leaf area, mass, and mass loss with senescence. The data were compiled from 86 selected studies in 31 countries, and resulted in approximately 1,000 data points for both green and senesced leaves from woody and non-woody vegetation as described in Vergutz et al (2012). The studies were conducted from 1970-2009. There are two comma-delimited data files with this data set. proprietary
Leaf_Carbon_Nutrients_1106_1 A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves ORNL_CLOUD STAC Catalog 1970-01-01 2009-12-31 -159.7, -50, 176.9, 68.5 https://cmr.earthdata.nasa.gov/search/concepts/C2784383820-ORNL_CLOUD.umm_json This data set provides carbon (C), nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) concentrations in green and senesced leaves. Vegetation characteristics reported include species growth habit, leaf area, mass, and mass loss with senescence. The data were compiled from 86 selected studies in 31 countries, and resulted in approximately 1,000 data points for both green and senesced leaves from woody and non-woody vegetation as described in Vergutz et al (2012). The studies were conducted from 1970-2009. There are two comma-delimited data files with this data set. proprietary
-Leaf_Photosynthesis_Traits_1224_1 A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area ALL STAC Catalog 1993-01-01 2010-12-31 -122.4, -43.2, 176.13, 58.42 https://cmr.earthdata.nasa.gov/search/concepts/C2784384781-ORNL_CLOUD.umm_json This global data set of photosynthetic rates and leaf nutrient traits was compiled from a comprehensive literature review. It includes estimates of Vcmax (maximum rate of carboxylation), Jmax (maximum rate of electron transport), leaf nitrogen content (N), leaf phosphorus content (P), and specific leaf area (SLA) data from both experimental and ambient field conditions, for a total of 325 species and treatment combinations. Both the original published Vcmax and Jmax values as well as estimates at standard temperature are reported. The maximum rate of carboxylation (Vcmax) and the maximum rate of electron transport (Jmax) are primary determinants of photosynthetic rates in plants, and modeled carbon fluxes are highly sensitive to these parameters. Previous studies have shown that Vcmax and Jmax correlate with leaf nitrogen across species and regions, and locally across species with leaf phosphorus and specific leaf area, yet no universal relationship suitable for global-scale models is currently available. These data are suitable for exploring the general relationships of Vcmax and Jmax with each other and with leaf N, P and SLA. This data set contains one *.csv file. proprietary
+Leaf_Carbon_Nutrients_1106_1 A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves ALL STAC Catalog 1970-01-01 2009-12-31 -159.7, -50, 176.9, 68.5 https://cmr.earthdata.nasa.gov/search/concepts/C2784383820-ORNL_CLOUD.umm_json This data set provides carbon (C), nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) concentrations in green and senesced leaves. Vegetation characteristics reported include species growth habit, leaf area, mass, and mass loss with senescence. The data were compiled from 86 selected studies in 31 countries, and resulted in approximately 1,000 data points for both green and senesced leaves from woody and non-woody vegetation as described in Vergutz et al (2012). The studies were conducted from 1970-2009. There are two comma-delimited data files with this data set. proprietary
Leaf_Photosynthesis_Traits_1224_1 A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area ORNL_CLOUD STAC Catalog 1993-01-01 2010-12-31 -122.4, -43.2, 176.13, 58.42 https://cmr.earthdata.nasa.gov/search/concepts/C2784384781-ORNL_CLOUD.umm_json This global data set of photosynthetic rates and leaf nutrient traits was compiled from a comprehensive literature review. It includes estimates of Vcmax (maximum rate of carboxylation), Jmax (maximum rate of electron transport), leaf nitrogen content (N), leaf phosphorus content (P), and specific leaf area (SLA) data from both experimental and ambient field conditions, for a total of 325 species and treatment combinations. Both the original published Vcmax and Jmax values as well as estimates at standard temperature are reported. The maximum rate of carboxylation (Vcmax) and the maximum rate of electron transport (Jmax) are primary determinants of photosynthetic rates in plants, and modeled carbon fluxes are highly sensitive to these parameters. Previous studies have shown that Vcmax and Jmax correlate with leaf nitrogen across species and regions, and locally across species with leaf phosphorus and specific leaf area, yet no universal relationship suitable for global-scale models is currently available. These data are suitable for exploring the general relationships of Vcmax and Jmax with each other and with leaf N, P and SLA. This data set contains one *.csv file. proprietary
+Leaf_Photosynthesis_Traits_1224_1 A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area ALL STAC Catalog 1993-01-01 2010-12-31 -122.4, -43.2, 176.13, 58.42 https://cmr.earthdata.nasa.gov/search/concepts/C2784384781-ORNL_CLOUD.umm_json This global data set of photosynthetic rates and leaf nutrient traits was compiled from a comprehensive literature review. It includes estimates of Vcmax (maximum rate of carboxylation), Jmax (maximum rate of electron transport), leaf nitrogen content (N), leaf phosphorus content (P), and specific leaf area (SLA) data from both experimental and ambient field conditions, for a total of 325 species and treatment combinations. Both the original published Vcmax and Jmax values as well as estimates at standard temperature are reported. The maximum rate of carboxylation (Vcmax) and the maximum rate of electron transport (Jmax) are primary determinants of photosynthetic rates in plants, and modeled carbon fluxes are highly sensitive to these parameters. Previous studies have shown that Vcmax and Jmax correlate with leaf nitrogen across species and regions, and locally across species with leaf phosphorus and specific leaf area, yet no universal relationship suitable for global-scale models is currently available. These data are suitable for exploring the general relationships of Vcmax and Jmax with each other and with leaf N, P and SLA. This data set contains one *.csv file. proprietary
Level_2A_aerosol_cloud_optical_products_3.0 Aeolus L2A Aerosol/Cloud optical product ALL STAC Catalog 2021-05-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207498185-ESA.umm_json The Level 2A aerosol/cloud optical products of the Aeolus mission include geo-located consolidated backscatter and extinction profiles, backscatter-to-extinction coefficient, LIDAR ratio, scene classification, heterogeneity index and attenuated backscatter signals. Resolution - Horizontal resolution of L2A optical properties at observation scale (~87 km); Exceptions are group properties (horizontal accumulation of measurements from ~3 km to ~87 km) and attenuated backscatters (~3 km); Note: the resolution of "groups" in the L2A can only go down to 5 measurements at the moment, i.e. ~15 km horizontal resolution. This could be configured to go to 1 measurement - Vertical resolution 250-2000 m (Defined by Range Bin Settings https://earth.esa.int/eogateway/instruments/aladin/overview-of-the-main-wind-rbs-changes). proprietary
Level_2A_aerosol_cloud_optical_products_3.0 Aeolus L2A Aerosol/Cloud optical product ESA STAC Catalog 2021-05-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207498185-ESA.umm_json The Level 2A aerosol/cloud optical products of the Aeolus mission include geo-located consolidated backscatter and extinction profiles, backscatter-to-extinction coefficient, LIDAR ratio, scene classification, heterogeneity index and attenuated backscatter signals. Resolution - Horizontal resolution of L2A optical properties at observation scale (~87 km); Exceptions are group properties (horizontal accumulation of measurements from ~3 km to ~87 km) and attenuated backscatters (~3 km); Note: the resolution of "groups" in the L2A can only go down to 5 measurements at the moment, i.e. ~15 km horizontal resolution. This could be configured to go to 1 measurement - Vertical resolution 250-2000 m (Defined by Range Bin Settings https://earth.esa.int/eogateway/instruments/aladin/overview-of-the-main-wind-rbs-changes). proprietary
LiDAR_Forest_Inventory_Brazil_1644_1 LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018 ORNL_CLOUD STAC Catalog 2008-01-01 2018-12-31 -68.3, -26.7, -39.06, -1.58 https://cmr.earthdata.nasa.gov/search/concepts/C2398128915-ORNL_CLOUD.umm_json This dataset provides the complete catalog of point cloud data collected during LiDAR surveys over selected forest research sites across the Amazon rainforest in Brazil between 2008 and 2018 for the Sustainable Landscapes Brazil Project. Flight lines were selected to overfly key field research sites in the Brazilian states of Acre, Amazonas, Bahia, Goias, Mato Grosso, Para, Rondonia, Santa Catarina, and Sao Paulo. The point clouds have been georeferenced, noise-filtered, and corrected for misalignment of overlapping flight lines. They are provided in 1 km2 tiles. The data were collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time. proprietary
-LiDAR_Tundra_Forest_AK_1782_1 ABoVE: Terrestrial Lidar Scanning Forest-Tundra Ecotone, Brooks Range, Alaska, 2016 ALL STAC Catalog 2016-06-14 2016-06-25 -149.76, 67.97, -149.71, 68.02 https://cmr.earthdata.nasa.gov/search/concepts/C2143401877-ORNL_CLOUD.umm_json This dataset provides terrestrial lidar scanning (TLS) point cloud data collected at 10 research plots along the forest-tundra ecotone (FTE) in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. Data were collected in mid-June 2016. Data were acquired for each plot from multiple scan positions with a Leica ScanStation C10 green wavelength laser instrument. After processing the point spacing is < 1 cm. TLS enables resolution of 3-dimensional landscape features that can be used to derive ecologically important metrics of canopy structure and surface topography at high spatial resolution. proprietary
LiDAR_Tundra_Forest_AK_1782_1 ABoVE: Terrestrial Lidar Scanning Forest-Tundra Ecotone, Brooks Range, Alaska, 2016 ORNL_CLOUD STAC Catalog 2016-06-14 2016-06-25 -149.76, 67.97, -149.71, 68.02 https://cmr.earthdata.nasa.gov/search/concepts/C2143401877-ORNL_CLOUD.umm_json This dataset provides terrestrial lidar scanning (TLS) point cloud data collected at 10 research plots along the forest-tundra ecotone (FTE) in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. Data were collected in mid-June 2016. Data were acquired for each plot from multiple scan positions with a Leica ScanStation C10 green wavelength laser instrument. After processing the point spacing is < 1 cm. TLS enables resolution of 3-dimensional landscape features that can be used to derive ecologically important metrics of canopy structure and surface topography at high spatial resolution. proprietary
+LiDAR_Tundra_Forest_AK_1782_1 ABoVE: Terrestrial Lidar Scanning Forest-Tundra Ecotone, Brooks Range, Alaska, 2016 ALL STAC Catalog 2016-06-14 2016-06-25 -149.76, 67.97, -149.71, 68.02 https://cmr.earthdata.nasa.gov/search/concepts/C2143401877-ORNL_CLOUD.umm_json This dataset provides terrestrial lidar scanning (TLS) point cloud data collected at 10 research plots along the forest-tundra ecotone (FTE) in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. Data were collected in mid-June 2016. Data were acquired for each plot from multiple scan positions with a Leica ScanStation C10 green wavelength laser instrument. After processing the point spacing is < 1 cm. TLS enables resolution of 3-dimensional landscape features that can be used to derive ecologically important metrics of canopy structure and surface topography at high spatial resolution. proprietary
LiDAR_Veg_Ht_Idaho_1532_1 LiDAR Data, DEM, and Maximum Vegetation Height Product from Southern Idaho, 2014 ORNL_CLOUD STAC Catalog 2014-08-23 2014-08-31 -116.89, 42.28, -114.68, 43.33 https://cmr.earthdata.nasa.gov/search/concepts/C2767326506-ORNL_CLOUD.umm_json This dataset provides the point cloud data derived from small footprint waveform LiDAR data collected in August 2014 over Reynolds Creek Experimental Watershed and Hollister in southern Idaho. The LiDAR data have been georeferenced, noise-filtered, and corrected for misalignment for overlapping flight lines and are provided in 1 km tiles. High resolution digital elevation models and maps of maximum vegetation height derived from the LiDAR data are provided for each site. proprietary
Lidar_Bibliography_1 A bibliography detailing references related to Light Detection and Ranging (LIDAR) instruments ALL STAC Catalog 1961-01-01 62, -68, 159, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214313620-AU_AADC.umm_json A bibliography detailing references related to Light Detection and Ranging (LIDAR) instruments - the bibliography has been compiled by Andrew Klekociuk of the Australian Antarctic Division (Space and Atmospheric Sciences section of the Ice, Oceans Atmosphere and Climate Program). At the 4th of June, 2007, the bibliography contained 996 references. The bibliography can also be searched via the scientific bibliographies database available at the URL given below. The fields in this dataset are: year author title journal proprietary
Lidar_Bibliography_1 A bibliography detailing references related to Light Detection and Ranging (LIDAR) instruments AU_AADC STAC Catalog 1961-01-01 62, -68, 159, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214313620-AU_AADC.umm_json A bibliography detailing references related to Light Detection and Ranging (LIDAR) instruments - the bibliography has been compiled by Andrew Klekociuk of the Australian Antarctic Division (Space and Atmospheric Sciences section of the Ice, Oceans Atmosphere and Climate Program). At the 4th of June, 2007, the bibliography contained 996 references. The bibliography can also be searched via the scientific bibliographies database available at the URL given below. The fields in this dataset are: year author title journal proprietary
@@ -10988,10 +10990,10 @@ MER_FRS_1P_8.0 Envisat MERIS Full Resolution - Level 1 [MER_FRS_1P/ME_1_FRG] ESA
MER_FRS_2P_8.0 Envisat MERIS Full Resolution - Level 2 [MER_FRS_2P/ME_2_FRG] ESA STAC Catalog 2002-05-17 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506787-ESA.umm_json MERIS FR Level 2 is a Full-Resolution Geophysical product for Ocean, Land and Atmosphere. Each MERIS Level 2 geophysical product is derived from a MERIS Level 1 product and auxiliary parameter files specific to the MERIS Level 2 processing. The MERIS FR Level 2 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. The data package is composed of NetCDF 4 files containing instrumental and scientific measurements, and a Manifest file which contains metadata information related to the description of the product. A Level 2 product is composed of 64 measurement files containing: 13 files containing Water-leaving reflectance, 13 files containing Land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measurement of atmospheric gas - M11 and M15), and several files containing additional measurement on Ocean, Land and Atmospheric parameters and annotation. The Auxiliary data used are listed in the Manifest file associated to each product. The Level 2 FR product covers the complete instrument swath. The product duration is not fixed and it can span up to the time interval of the input Level 0/Level 1. Thus the estimated size of the Level 2 FR is dependent on the start/stop time of the acquired segment. During the Envisat mission, acquisition of MERIS Full Resolution data was subject to dedicated planning based on on-demand ordering and coverage of specific areas according to operational recommendations and considerations. See yearly and global density maps to get a better overview of the MERIS FR coverage. proprietary
MESSR_MOS-1_L2_Data_NA MESSR/MOS-1 L2 Data JAXA STAC Catalog 1987-02-24 1995-11-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2698130302-JAXA.umm_json MESSR/MOS-1 L2 Data is obtained from the MESSR sensor onboard MOS-1, Japan's first marine observation satellite, and produced by the National Space Development Agency of Japan:NASDA. MOS-1, Japan's first marine observation satellite, is Sun-synchronous sub-recurrent Orbit satellite launched on February 19, 1987 as a link in a global satellite observation system for more effective natural resource utilization and for environmental protection. The MESSR is multi-spectral radiometers and has swath of 100 km. This dataset includes radiometric and geometric corrected applied raw data.Map projection is UTM, SOM, PS. The provided format is CEOS. The spatial resolution is 50 m. proprietary
MESSR_MOS-1b_L2_Data_NA MESSR/MOS-1b L2 Data JAXA STAC Catalog 1990-03-09 1996-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2698133853-JAXA.umm_json MESSR/MOS-1b L2 Data is obtained from the MESSR sensor onboard MOS-1b, Japan's first marine observation satellite, and produced by the National Space Development Agency of Japan:NASDA. MOS-1b which has the same functions as MOS-1 is Sun-synchronous sub-recurrent Orbit satellite launched on February 7, 1990 as a link in a global satellite observation system for more effective natural resource utilization and for environmental protection. The MESSR is multi-spectral radiometers and has swath of 100 km. This dataset includes radiometric and geometric corrected applied raw data.Map projction is UTM, SOM, PS. The provided format is CEOS. The spatial resolution is 50 m. proprietary
-MFLL_CO2_Weighting_Functions_1891_1 ACT-America: L2 Weighting Functions for Airborne Lidar Column-avg CO2, Eastern USA ORNL_CLOUD STAC Catalog 2016-05-27 2018-05-20 -106.05, 27.23, -71.91, 49.11 https://cmr.earthdata.nasa.gov/search/concepts/C2704977536-ORNL_CLOUD.umm_json This dataset provides vertical weighting function coefficients of the Level 2 (L2) remotely sensed column-average carbon dioxide (CO2) concentrations measured during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the U.S. for the Atmospheric Carbon and Transport (ACT-America) project. Column-average CO2 concentrations were measured at a 0.1-second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with a Multi-functional Fiber Laser Lidar (MFLL; Harris Corporation). The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity-modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. The MFLL-measured column-averaged CO2 values have certain distinct vertical weights on CO2 profiles depending on the meteorological conditions and the wavelengths used at the measurement time and location. This product includes the instrument location at the time of measurement in geographic coordinates and altitude, along with a vector of weighting function values representing conditions along the nadir direction. proprietary
MFLL_CO2_Weighting_Functions_1891_1 ACT-America: L2 Weighting Functions for Airborne Lidar Column-avg CO2, Eastern USA ALL STAC Catalog 2016-05-27 2018-05-20 -106.05, 27.23, -71.91, 49.11 https://cmr.earthdata.nasa.gov/search/concepts/C2704977536-ORNL_CLOUD.umm_json This dataset provides vertical weighting function coefficients of the Level 2 (L2) remotely sensed column-average carbon dioxide (CO2) concentrations measured during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the U.S. for the Atmospheric Carbon and Transport (ACT-America) project. Column-average CO2 concentrations were measured at a 0.1-second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with a Multi-functional Fiber Laser Lidar (MFLL; Harris Corporation). The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity-modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. The MFLL-measured column-averaged CO2 values have certain distinct vertical weights on CO2 profiles depending on the meteorological conditions and the wavelengths used at the measurement time and location. This product includes the instrument location at the time of measurement in geographic coordinates and altitude, along with a vector of weighting function values representing conditions along the nadir direction. proprietary
-MFLL_XCO2_Range_10Hz_1892_1 ACT-America: L2 Remotely Sensed Column-avg CO2 by Airborne Lidar, Lite, Eastern USA ORNL_CLOUD STAC Catalog 2016-05-27 2018-05-20 -106.05, 27.23, -71.91, 49.11 https://cmr.earthdata.nasa.gov/search/concepts/C2704971204-ORNL_CLOUD.umm_json This dataset provides a direct subset (i.e., the Lite version) of the Level 2 (L2) remotely sensed column-average carbon dioxide (CO2) concentrations measured during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the U.S. for the Atmospheric Carbon and Transport (ACT-America) project. Column-average CO2 concentrations were measured at a 0.1-second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with a Multi-functional Fiber Laser Lidar (MFLL; Harris Corporation). The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity-modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. Complete aircraft flight information, interpolated to the 0.1-second column CO2 reporting frequency, is included, but not limited to, latitude, longitude, altitude, and attitude. proprietary
+MFLL_CO2_Weighting_Functions_1891_1 ACT-America: L2 Weighting Functions for Airborne Lidar Column-avg CO2, Eastern USA ORNL_CLOUD STAC Catalog 2016-05-27 2018-05-20 -106.05, 27.23, -71.91, 49.11 https://cmr.earthdata.nasa.gov/search/concepts/C2704977536-ORNL_CLOUD.umm_json This dataset provides vertical weighting function coefficients of the Level 2 (L2) remotely sensed column-average carbon dioxide (CO2) concentrations measured during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the U.S. for the Atmospheric Carbon and Transport (ACT-America) project. Column-average CO2 concentrations were measured at a 0.1-second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with a Multi-functional Fiber Laser Lidar (MFLL; Harris Corporation). The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity-modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. The MFLL-measured column-averaged CO2 values have certain distinct vertical weights on CO2 profiles depending on the meteorological conditions and the wavelengths used at the measurement time and location. This product includes the instrument location at the time of measurement in geographic coordinates and altitude, along with a vector of weighting function values representing conditions along the nadir direction. proprietary
MFLL_XCO2_Range_10Hz_1892_1 ACT-America: L2 Remotely Sensed Column-avg CO2 by Airborne Lidar, Lite, Eastern USA ALL STAC Catalog 2016-05-27 2018-05-20 -106.05, 27.23, -71.91, 49.11 https://cmr.earthdata.nasa.gov/search/concepts/C2704971204-ORNL_CLOUD.umm_json This dataset provides a direct subset (i.e., the Lite version) of the Level 2 (L2) remotely sensed column-average carbon dioxide (CO2) concentrations measured during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the U.S. for the Atmospheric Carbon and Transport (ACT-America) project. Column-average CO2 concentrations were measured at a 0.1-second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with a Multi-functional Fiber Laser Lidar (MFLL; Harris Corporation). The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity-modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. Complete aircraft flight information, interpolated to the 0.1-second column CO2 reporting frequency, is included, but not limited to, latitude, longitude, altitude, and attitude. proprietary
+MFLL_XCO2_Range_10Hz_1892_1 ACT-America: L2 Remotely Sensed Column-avg CO2 by Airborne Lidar, Lite, Eastern USA ORNL_CLOUD STAC Catalog 2016-05-27 2018-05-20 -106.05, 27.23, -71.91, 49.11 https://cmr.earthdata.nasa.gov/search/concepts/C2704971204-ORNL_CLOUD.umm_json This dataset provides a direct subset (i.e., the Lite version) of the Level 2 (L2) remotely sensed column-average carbon dioxide (CO2) concentrations measured during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the U.S. for the Atmospheric Carbon and Transport (ACT-America) project. Column-average CO2 concentrations were measured at a 0.1-second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with a Multi-functional Fiber Laser Lidar (MFLL; Harris Corporation). The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity-modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. Complete aircraft flight information, interpolated to the 0.1-second column CO2 reporting frequency, is included, but not limited to, latitude, longitude, altitude, and attitude. proprietary
MI03_resp_nutrients_GC1_1 GC-FID analysis of soil respirometery experiment. Soil from Macquarie Island, sampled in 2003. AU_AADC STAC Catalog 2003-01-01 2003-12-31 158.76892, -54.78406, 158.96667, -54.47802 https://cmr.earthdata.nasa.gov/search/concepts/C1214313661-AU_AADC.umm_json Field samples were collected from the Main Power House at Macquarie Island - coordinates.... The soil sample used for the respirometer trial was made up as a composite of 8 cores, namely: MPH1, MPH3, MPH4, MPH5, MPH7, MPH8 and MPH9. Each core was analysed for petroleum hydrocarbons (PHCs) at 0.05 m intervals. Intervals containing between 2500 and 5000 mg/kg PHC were then combined into a bulked sample used in the respirometer test. The sample was homogenised by placing all the soil (4.5 kg) into a large mixing bowl and stirring with a flat stirrer. The respirometer experiment was conducted by Jim Walworth and Andrew Pond at the University of Arizona. The objective was to optimise the nutrient status for microbial degradation of PHC's. The respirometer used was an N-Con closed system, with 24 flasks. There were 5 treatments and a control, each run in quadriplate. The control was unammended while treatments were 125, 250, 375, 500, and 625 mg nitrogen/kg of soil (on a dry soil weight basis). See: Sheet 'Sample details' for sample barcode, user ID and sample mass summary. Sheet 'GC-FID Data', cells A1-A18 = sample ID, GC injection file and processing notes Sheet 'GC-FID Data', Rows 10 and 11 contain TPH estimates and estimated standard uncertainty for the TPH value Sheet 'GC-FID Data', cells A21-A125 = compounds or GC elution windows measured Sheet 'GC-FID Data', cells B21-B56 = compound [CAS numbers] Sheet 'GC-FID Data', cells C21-AL125 = GC-FID area responses Sheet 'GC-FID Data', cells C128-AL232 = Estimated standard uncertainties for all GC-FID area responses (from blank drifts,local signal/noise etc) Chemical analysis details........Sample Extraction A 0.5mL volume of internal standard solution containing a mixture of compounds (cyclo-octane at c.1000mg/L, d8-naphthalene at 100mg/L, p-terphenyl at 100 mg/L and 1-bromoeicosane at 1000mg/L) dissolved in hexane, was pipetted onto the soil with a calibrated positive displacement pipette. This was followed by the addition of 10mL of hexane and 10mL of water. The vials were then tumbled end over end (50rpm) overnight and centrifuged at 1500 rpm. 1.8mL of the clear hexane layer was transferred by Pasteur pipette into a 2mL vial for Gas Chromatography Flame Ionisation Detector (GC-FID) analysis Chemical analysis details........GC-FID parameters The download file also includes a paper produced from this data. This work was completed as part of ASAC project 1163 (ASAC_1163). proprietary
MI08_soil_properties_1 Characteristics of soil collected on Macquarie Island in 2008. AU_AADC STAC Catalog 2008-01-01 2008-01-31 158.93, -54.51, 158.94, -54.49 https://cmr.earthdata.nasa.gov/search/concepts/C1214313645-AU_AADC.umm_json Samples were collected on Macquarie Island from three sites: the main powerhouse, the fuel farm and a reference site on the isthmus by the Bioremediation Project team in January 2008. Soil characteristics including conductivity, pH, total petroleum hydrocarbons, total carbon, nitrate, nitrite, ammonium, fluoride, bromide, chloride, sulphate and phosphate were measured. The data consists of two files, the rtf file contains the methods used and the csv file contains the soil characteristics. Samples are identified by a barcode which is the barcode number assigned by the Bioremediation Project Sample Tracking Database. This work was carried out as part of AAS project 1163. proprietary
MI1AC_2 MISR Level 1A Calibration Data V002 LARC STAC Catalog 1999-12-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179031451-LARC.umm_json MI1AC_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Calibration data in DN. The data numbers have been commuted from 12-bit to 16-bit, byte-aligned half-word version 2. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. proprietary
@@ -11654,10 +11656,10 @@ MS_Sound_0 Mississippi (MS) Sound optical measurements OB_DAAC STAC Catalog 2005
MTSAT2-OSPO-L2P-v1.0_1.0 GHRSST Level 2P Western Pacific Regional Skin Sea Surface Temperature from the Multifunctional Transport Satellite 2 (MTSAT-2) (GDS version 2) POCLOUD STAC Catalog 2013-08-01 2015-12-04 64, -80, -134, 79 https://cmr.earthdata.nasa.gov/search/concepts/C2499940520-POCLOUD.umm_json Multi-functional Transport Satellites (MTSAT) are a series of geostationary weather satellites operated by the Japan Meteorological Agency (JMA). MTSAT carries an aeronautical mission to assist air navigation, plus a meteorological mission to provide imagery over the Asia-Pacific region for the hemisphere centered on 140 East. The meteorological mission includes an imager giving nominal hourly full Earth disk images in five spectral bands (one visible, four infrared). MTSAT are spin stabilized satellites. With this system images are built up by scanning with a mirror that is tilted in small successive steps from the north pole to south pole at a rate such that on each rotation of the satellite an adjacent strip of the Earth is scanned. It takes about 25 minutes to scan the full Earth's disk. This builds a picture 10,000 pixels for the visible images (1.25 km resolution) and 2,500 pixels (4 km resolution) for the infrared images. The MTSAT-2 (also known as Himawari 7) and its radiometer (MTSAT-2 Imager) was successfully launched on 18 February 2006. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the IR channels of the MTSAT-2 Imager full resolution data in satellite projection on a hourly basis by using Bayesian Cloud Mask algorithm at the Office of Satellite and Product Operations (OSPO). L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0. proprietary
MUR-JPL-L4-GLOB-v4.1_4.1 GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1) POCLOUD STAC Catalog 2002-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1996881146-POCLOUD.umm_json "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset (four day latency) and near-real-time dataset (one day latency) at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.01 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains additional variables for some granules including a SST anomaly derived from a MUR climatology and the temporal distance to the nearest IR measurement for each pixel.This dataset is funded by the NASA MEaSUREs program ( http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects ), and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. Use the file global metadata ""history:"" attribute to determine if a granule is near-realtime or retrospective." proprietary
MUR25-JPL-L4-GLOB-v04.2_4.2 GHRSST Level 4 MUR 0.25deg Global Foundation Sea Surface Temperature Analysis (v4.2) POCLOUD STAC Catalog 2002-08-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036880657-POCLOUD.umm_json A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.25 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains an additional SST anomaly variable derived from a MUR climatology (average between 2003 and 2014). This dataset was originally funded by the NASA MEaSUREs program (http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects ) and the NASA CEOS COVERAGE project and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. proprietary
-MURI_Camouflage_0 A Multi University Research Initiative (MURI) Camouflage Project OB_DAAC STAC Catalog 2010-06-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360494-OB_DAAC.umm_json A Multi University Research Initiative was funded to study the biological response to the dynamic, polarized light field in distinct water types. During June 2010, a campaign was undertaken in the coastal waters off Port Aransas, Texas to study the angular/temporal distribution of polarization in multiple environment types (eutrophic sediment laden coastal waters, oligotrophic off-shore), as well as the polarization-reflectance responses of several organisms. In addition to radiometric polarization measurements, water column IOPs, Rrs, benthic reflectance, and pigment concentration measurements were collected. Later campaigns expanded this research in the coastal waters off the Florida Keys. proprietary
MURI_Camouflage_0 A Multi University Research Initiative (MURI) Camouflage Project ALL STAC Catalog 2010-06-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360494-OB_DAAC.umm_json A Multi University Research Initiative was funded to study the biological response to the dynamic, polarized light field in distinct water types. During June 2010, a campaign was undertaken in the coastal waters off Port Aransas, Texas to study the angular/temporal distribution of polarization in multiple environment types (eutrophic sediment laden coastal waters, oligotrophic off-shore), as well as the polarization-reflectance responses of several organisms. In addition to radiometric polarization measurements, water column IOPs, Rrs, benthic reflectance, and pigment concentration measurements were collected. Later campaigns expanded this research in the coastal waters off the Florida Keys. proprietary
-MURI_HI_0 A Multi University Research Initiative (MURI) near the Hawaiian Islands ALL STAC Catalog 2012-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360508-OB_DAAC.umm_json Measurements taken by the RV Kilo Moana in 2012 near the Hawaiian Islands. proprietary
+MURI_Camouflage_0 A Multi University Research Initiative (MURI) Camouflage Project OB_DAAC STAC Catalog 2010-06-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360494-OB_DAAC.umm_json A Multi University Research Initiative was funded to study the biological response to the dynamic, polarized light field in distinct water types. During June 2010, a campaign was undertaken in the coastal waters off Port Aransas, Texas to study the angular/temporal distribution of polarization in multiple environment types (eutrophic sediment laden coastal waters, oligotrophic off-shore), as well as the polarization-reflectance responses of several organisms. In addition to radiometric polarization measurements, water column IOPs, Rrs, benthic reflectance, and pigment concentration measurements were collected. Later campaigns expanded this research in the coastal waters off the Florida Keys. proprietary
MURI_HI_0 A Multi University Research Initiative (MURI) near the Hawaiian Islands OB_DAAC STAC Catalog 2012-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360508-OB_DAAC.umm_json Measurements taken by the RV Kilo Moana in 2012 near the Hawaiian Islands. proprietary
+MURI_HI_0 A Multi University Research Initiative (MURI) near the Hawaiian Islands ALL STAC Catalog 2012-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360508-OB_DAAC.umm_json Measurements taken by the RV Kilo Moana in 2012 near the Hawaiian Islands. proprietary
MUSE_0 Monterey Ocean Observing System (MOOS) Upper-water-column Science Experiment (MUSE) OB_DAAC STAC Catalog 2002-07-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360509-OB_DAAC.umm_json Measurements made near Monterey Bay under the MOOS Upper-water-column Science Experiment (MUSE). proprietary
MVCO_0 Martha's Vineyard Coastal Observatory (MVCO) OB_DAAC STAC Catalog 2003-05-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360510-OB_DAAC.umm_json The Martha's Vineyard Coastal Observatory (MVCO) is operated by Woods Hole Oceanographic Institution. These datasets include measurements collected from and around the Martha's Vineyard site. proprietary
MW_IR_OI-REMSS-L4-GLOB-v5.0_5.0 GHRSST Level 4 MW_IR_OI Global Foundation Sea Surface Temperature analysis version 5.0 from REMSS POCLOUD STAC Catalog 2002-06-01 -179, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036878045-POCLOUD.umm_json A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.09-degree grid at Remote Sensing Systems. This product uses optimal interpolation (OI) from both microwave (MW) sensors including the Global Precipitation Measurement (GPM) Microwave Imager (GMI), the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite, and WindSat operates on the Coriolis satellite, and infrared (IR) sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platform and the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi-NPP satellite. The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST) while infrared radiometers (i.e., MODIS) have a higher spatial resolution. This analysis does not use any in situ SST data such as drifting buoy SST. Comparing with previous version 4.0 dataset, the version 5.0 has made the updates in several areas, including the diurnal warming model, the sensor-specific error statistics (SSES) for each microwave sensor, the sensor correlation model, and the quality mask. proprietary
@@ -11786,8 +11788,8 @@ Macquarie_Tide_Gauges_2 Macquarie Island Tide Gauge Data 1993-2007 AU_AADC STAC
MagMix_0 MagMix project OB_DAAC STAC Catalog 2008-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360470-OB_DAAC.umm_json Estuarine and coastal systems play important roles in society, serving as port facilities, productive fisheries and rookeries, and scenic recreational areas. However, these same values to society mean that these areas can be significantly affected by human activities. Inputs of nutrients, organic matter, and trace metals are among these impacts. The MagMix project seeks to understand the transport and cycling of nutrients and trace elements and relate that to biogeochemical and optical properties in river-dominated coastal systems. The area of study is the outflow region of the Mississippi and Atchafalaya rivers in the northern Gulf of Mexico. The Mississippi River carries high concentrations of plant nutrients derived from fertilizer use on farms in the heartland of the US. These excess nutrients stimulate plant growth in the surface waters of the Louisiana Shelf. These plants, in turn, sink to the bottom waters of the shelf where they serve as food for respiring organisms. The input of this excess food then stimulates an excess of respiration thereby depleting the shelf bottom waters of oxygen during the summer. These oxygen-depleted (or hypoxic) waters then become a dead zone avoided by animals. The overall goal of this research project is to better understand the mixing processes and their relationship to optical and biogeochemical properties as the waters of the Mississippi River and the Atchafalaya River enter the Gulf of Mexico. proprietary
Main_Melt_Onset_Dates_1841_1.1 ABoVE: Passive Microwave-derived Annual Snowpack Main Melt Onset Date Maps, 1988-2018 ORNL_CLOUD STAC Catalog 1988-02-09 2018-02-10 -180, 51.61, -107.83, 72.41 https://cmr.earthdata.nasa.gov/search/concepts/C2143401742-ORNL_CLOUD.umm_json This dataset provides the annual date of snowpack seasonal beginning melt (i.e., main melt onset date, MMOD) across northwest Canada; Alaska, U.S.; and parts of far eastern Russia at 6.25 km resolution for the period 1988-2018. MMOD was derived from the daily 19V (K-band) and 37V (Ka-band) GHz bands from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). The PMW MMOD dataset was validated using the transition date from Freeze Degree Days (FDD) to Thaw Degree Days (TDD) from in situ air temperature observations from 31 SNOw TELemetry network (SNOTEL) observations, and compared to the established Freeze-Thaw ESDR (FT-ESDR) spring onset date. The resulting MMOD data record is suitable for documenting the spatial-temporal impacts of MMOD variability in ecosystem services, wildlife movements, and hydrologic processes across the ABoVE domain. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies. proprietary
Main_Melt_Onset_Dates_1841_1.1 ABoVE: Passive Microwave-derived Annual Snowpack Main Melt Onset Date Maps, 1988-2018 ALL STAC Catalog 1988-02-09 2018-02-10 -180, 51.61, -107.83, 72.41 https://cmr.earthdata.nasa.gov/search/concepts/C2143401742-ORNL_CLOUD.umm_json This dataset provides the annual date of snowpack seasonal beginning melt (i.e., main melt onset date, MMOD) across northwest Canada; Alaska, U.S.; and parts of far eastern Russia at 6.25 km resolution for the period 1988-2018. MMOD was derived from the daily 19V (K-band) and 37V (Ka-band) GHz bands from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). The PMW MMOD dataset was validated using the transition date from Freeze Degree Days (FDD) to Thaw Degree Days (TDD) from in situ air temperature observations from 31 SNOw TELemetry network (SNOTEL) observations, and compared to the established Freeze-Thaw ESDR (FT-ESDR) spring onset date. The resulting MMOD data record is suitable for documenting the spatial-temporal impacts of MMOD variability in ecosystem services, wildlife movements, and hydrologic processes across the ABoVE domain. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies. proprietary
-MaineInvasives A Historical Record of Sponges, Bryozoa and Ascidians on the Coast of Maine: 1843-1980 (Bigelow Laboratory for Ocean Sciences) SCIOPS STAC Catalog 1843-01-01 1980-12-31 -70.7, 42.6, -66.9, 45.2 https://cmr.earthdata.nasa.gov/search/concepts/C1214593917-SCIOPS.umm_json Records of the occurrences of marine and estuarine sponges, bryozoans and ascideans on the coast of Maine have been compiled from the historic literature spanning the time frame of 1843 to 1980. These records variously include information on location, abundance, depth and habitat notes. Also available in many cases are common synonymies and scientific author. Sources include the primary literature, scientific and technical reports and unpublished records and field notes of marine researchers. The taxonomy of the species has been verified on the website WoRMS and by taxonomic experts. A few records need further investigation. These data have been georeferenced and entered into the OBIS database providing world-wide access and various search capabilities. proprietary
MaineInvasives A Historical Record of Sponges, Bryozoa and Ascidians on the Coast of Maine: 1843-1980 (Bigelow Laboratory for Ocean Sciences) ALL STAC Catalog 1843-01-01 1980-12-31 -70.7, 42.6, -66.9, 45.2 https://cmr.earthdata.nasa.gov/search/concepts/C1214593917-SCIOPS.umm_json Records of the occurrences of marine and estuarine sponges, bryozoans and ascideans on the coast of Maine have been compiled from the historic literature spanning the time frame of 1843 to 1980. These records variously include information on location, abundance, depth and habitat notes. Also available in many cases are common synonymies and scientific author. Sources include the primary literature, scientific and technical reports and unpublished records and field notes of marine researchers. The taxonomy of the species has been verified on the website WoRMS and by taxonomic experts. A few records need further investigation. These data have been georeferenced and entered into the OBIS database providing world-wide access and various search capabilities. proprietary
+MaineInvasives A Historical Record of Sponges, Bryozoa and Ascidians on the Coast of Maine: 1843-1980 (Bigelow Laboratory for Ocean Sciences) SCIOPS STAC Catalog 1843-01-01 1980-12-31 -70.7, 42.6, -66.9, 45.2 https://cmr.earthdata.nasa.gov/search/concepts/C1214593917-SCIOPS.umm_json Records of the occurrences of marine and estuarine sponges, bryozoans and ascideans on the coast of Maine have been compiled from the historic literature spanning the time frame of 1843 to 1980. These records variously include information on location, abundance, depth and habitat notes. Also available in many cases are common synonymies and scientific author. Sources include the primary literature, scientific and technical reports and unpublished records and field notes of marine researchers. The taxonomy of the species has been verified on the website WoRMS and by taxonomic experts. A few records need further investigation. These data have been georeferenced and entered into the OBIS database providing world-wide access and various search capabilities. proprietary
Maps_AGB_North_Slope_AK_1565_1 ABoVE: Gridded 30-m Aboveground Biomass, Shrub Dominance, North Slope, AK, 2007-2016 ALL STAC Catalog 2007-06-01 2016-08-31 -168.58, 64.73, -111.55, 76.23 https://cmr.earthdata.nasa.gov/search/concepts/C2170971358-ORNL_CLOUD.umm_json This dataset includes 30-m gridded estimates of total plant aboveground biomass (AGB), the shrub AGB, and the shrub dominance (shrub/plant AGB) for non-water portions of the Beaufort Coastal Plain and Brooks Foothills ecoregions of the North Slope of Alaska. The estimates were derived by linking biomass harvests from 28 published field site datasets with NDVI from a regional Landsat mosaic derived from Landsat 5 and 7 satellite imagery. The data cover the period 2007-06-01 to 2016-08-31. proprietary
Maps_AGB_North_Slope_AK_1565_1 ABoVE: Gridded 30-m Aboveground Biomass, Shrub Dominance, North Slope, AK, 2007-2016 ORNL_CLOUD STAC Catalog 2007-06-01 2016-08-31 -168.58, 64.73, -111.55, 76.23 https://cmr.earthdata.nasa.gov/search/concepts/C2170971358-ORNL_CLOUD.umm_json This dataset includes 30-m gridded estimates of total plant aboveground biomass (AGB), the shrub AGB, and the shrub dominance (shrub/plant AGB) for non-water portions of the Beaufort Coastal Plain and Brooks Foothills ecoregions of the North Slope of Alaska. The estimates were derived by linking biomass harvests from 28 published field site datasets with NDVI from a regional Landsat mosaic derived from Landsat 5 and 7 satellite imagery. The data cover the period 2007-06-01 to 2016-08-31. proprietary
Marine Debris Archive (MARIDA)_1 Marine Debris Archive (MARIDA) MLHUB STAC Catalog 2020-01-01 2023-01-01 -88.8557904, -29.8973351, 129.0745722, 56.4061985 https://cmr.earthdata.nasa.gov/search/concepts/C2781412537-MLHUB.umm_json Marine Debris Archive (MARIDA) is a marine debris-oriented dataset on Sentinel-2 satellite images. It also includes various sea features (clear & turbid water, waves, etc.) and floating materials (Sargassum macroalgae, ships, natural organic material, etc) that co-exist. MARIDA is primarily focused on the weakly supervised pixel-level semantic segmentation task. proprietary
@@ -11804,22 +11806,22 @@ MassGIS_GISDATA.COQHMOSAICSCDS_POLY 2001 MrSID Mosaics CD-ROM Index ALL STAC Cat
MassGIS_GISDATA.COQHMOSAICSCDS_POLY 2001 MrSID Mosaics CD-ROM Index SCIOPS STAC Catalog 2006-08-03 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592880-SCIOPS.umm_json CD-ROM index scheme for the 2001 color ortho image MrSID mosaics. proprietary
MassGIS_GISDATA.COQHMOSAICSDVDS_POLY.xm 2001 MrSID Mosaics DVD Index ALL STAC Catalog 2007-02-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592858-SCIOPS.umm_json DVD index scheme for the 2001 color ortho image MrSID mosaics. proprietary
MassGIS_GISDATA.COQHMOSAICSDVDS_POLY.xm 2001 MrSID Mosaics DVD Index SCIOPS STAC Catalog 2007-02-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592858-SCIOPS.umm_json DVD index scheme for the 2001 color ortho image MrSID mosaics. proprietary
-MassGIS_GISDATA.COQHMOSAICS_POLY 2001 MrSID Mosaics Index SCIOPS STAC Catalog 2002-08-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592815-SCIOPS.umm_json This data layer is used to index the half-meter MrSID mosaics for the 2001/03 1:5,000 Color Ortho Imagery. proprietary
MassGIS_GISDATA.COQHMOSAICS_POLY 2001 MrSID Mosaics Index ALL STAC Catalog 2002-08-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592815-SCIOPS.umm_json This data layer is used to index the half-meter MrSID mosaics for the 2001/03 1:5,000 Color Ortho Imagery. proprietary
-MassGIS_GISDATA.COQMOSAICS2005_POLY 2005 MrSID Mosaics Index SCIOPS STAC Catalog 2006-08-03 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592900-SCIOPS.umm_json Index scheme for the 2005 color ortho image MrSID mosaics. proprietary
+MassGIS_GISDATA.COQHMOSAICS_POLY 2001 MrSID Mosaics Index SCIOPS STAC Catalog 2002-08-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592815-SCIOPS.umm_json This data layer is used to index the half-meter MrSID mosaics for the 2001/03 1:5,000 Color Ortho Imagery. proprietary
MassGIS_GISDATA.COQMOSAICS2005_POLY 2005 MrSID Mosaics Index ALL STAC Catalog 2006-08-03 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592900-SCIOPS.umm_json Index scheme for the 2005 color ortho image MrSID mosaics. proprietary
-MassGIS_GISDATA.COQMOSAICSCDS2005_POLY. 2005 MrSID Mosaics CD-ROM Index ALL STAC Catalog 2006-08-03 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592882-SCIOPS.umm_json CD-ROM index scheme for the 2005 color ortho image MrSID mosaics. proprietary
+MassGIS_GISDATA.COQMOSAICS2005_POLY 2005 MrSID Mosaics Index SCIOPS STAC Catalog 2006-08-03 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592900-SCIOPS.umm_json Index scheme for the 2005 color ortho image MrSID mosaics. proprietary
MassGIS_GISDATA.COQMOSAICSCDS2005_POLY. 2005 MrSID Mosaics CD-ROM Index SCIOPS STAC Catalog 2006-08-03 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592882-SCIOPS.umm_json CD-ROM index scheme for the 2005 color ortho image MrSID mosaics. proprietary
-MassGIS_GISDATA.COQMOSAICSDVDS2005_POLY 2005 MrSID Mosaics DVD Index ALL STAC Catalog 2007-02-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592901-SCIOPS.umm_json DVD index scheme for the 2005 color ortho image MrSID mosaics. proprietary
+MassGIS_GISDATA.COQMOSAICSCDS2005_POLY. 2005 MrSID Mosaics CD-ROM Index ALL STAC Catalog 2006-08-03 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592882-SCIOPS.umm_json CD-ROM index scheme for the 2005 color ortho image MrSID mosaics. proprietary
MassGIS_GISDATA.COQMOSAICSDVDS2005_POLY 2005 MrSID Mosaics DVD Index SCIOPS STAC Catalog 2007-02-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592901-SCIOPS.umm_json DVD index scheme for the 2005 color ortho image MrSID mosaics. proprietary
-MassGIS_GISDATA.IMG_BWORTHOS 1:5,000 Black and White Digital Orthophoto Images SCIOPS STAC Catalog 1992-01-01 1999-12-31 -73.54455, 41.198524, -69.87159, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592889-SCIOPS.umm_json "These medium resolution images provide a high-quality ""basemap"" for the Commonwealth by MassGIS and the Executive Office of Environmental Affairs (EOEA). As of March 31, 2000, the entire state is available. The imagery was captured during the spring from 1992 through 1999. Pixel resolution is 0.5 meters. In ArcSDE the layer is named IMG_BWORTHOS." proprietary
+MassGIS_GISDATA.COQMOSAICSDVDS2005_POLY 2005 MrSID Mosaics DVD Index ALL STAC Catalog 2007-02-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592901-SCIOPS.umm_json DVD index scheme for the 2005 color ortho image MrSID mosaics. proprietary
MassGIS_GISDATA.IMG_BWORTHOS 1:5,000 Black and White Digital Orthophoto Images ALL STAC Catalog 1992-01-01 1999-12-31 -73.54455, 41.198524, -69.87159, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592889-SCIOPS.umm_json "These medium resolution images provide a high-quality ""basemap"" for the Commonwealth by MassGIS and the Executive Office of Environmental Affairs (EOEA). As of March 31, 2000, the entire state is available. The imagery was captured during the spring from 1992 through 1999. Pixel resolution is 0.5 meters. In ArcSDE the layer is named IMG_BWORTHOS." proprietary
-MassGIS_GISDATA.IMG_COQ2001 1:5,000 Color Ortho Imagery ALL STAC Catalog 2001-04-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592921-SCIOPS.umm_json "These medium resolution true color images are considered the new ""basemap"" for the Commonwealth by MassGIS and the Executive Office of Environmental Affairs (EOEA). MassGIS/EOEA and the Massachusetts Highway Department jointly funded the project. The photography for the mainland was captured in April 2001 when deciduous trees were mostly bare and the ground was generally free of snow." proprietary
+MassGIS_GISDATA.IMG_BWORTHOS 1:5,000 Black and White Digital Orthophoto Images SCIOPS STAC Catalog 1992-01-01 1999-12-31 -73.54455, 41.198524, -69.87159, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592889-SCIOPS.umm_json "These medium resolution images provide a high-quality ""basemap"" for the Commonwealth by MassGIS and the Executive Office of Environmental Affairs (EOEA). As of March 31, 2000, the entire state is available. The imagery was captured during the spring from 1992 through 1999. Pixel resolution is 0.5 meters. In ArcSDE the layer is named IMG_BWORTHOS." proprietary
MassGIS_GISDATA.IMG_COQ2001 1:5,000 Color Ortho Imagery SCIOPS STAC Catalog 2001-04-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592921-SCIOPS.umm_json "These medium resolution true color images are considered the new ""basemap"" for the Commonwealth by MassGIS and the Executive Office of Environmental Affairs (EOEA). MassGIS/EOEA and the Massachusetts Highway Department jointly funded the project. The photography for the mainland was captured in April 2001 when deciduous trees were mostly bare and the ground was generally free of snow." proprietary
+MassGIS_GISDATA.IMG_COQ2001 1:5,000 Color Ortho Imagery ALL STAC Catalog 2001-04-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592921-SCIOPS.umm_json "These medium resolution true color images are considered the new ""basemap"" for the Commonwealth by MassGIS and the Executive Office of Environmental Affairs (EOEA). MassGIS/EOEA and the Massachusetts Highway Department jointly funded the project. The photography for the mainland was captured in April 2001 when deciduous trees were mostly bare and the ground was generally free of snow." proprietary
MassGIS_GISDATA.IMG_COQ2005 1:5,000 Color Ortho Imagery (2005) SCIOPS STAC Catalog 2005-04-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592911-SCIOPS.umm_json "These medium resolution true color images are considered the new ""basemap"" for the Commonwealth by MassGIS and the Executive Office of Environmental Affairs (EOEA). The photography for the entire commonwealth was captured in April 2005 when deciduous trees were mostly bare and the ground was generally free of snow. Image type is 4-band (RGBN) natural color (Red, Green, Blue) and Near infrared in 8 bits (values ranging 0-255) per band format. Image horizontal accuracy is +/-3 meters at the 95% confidence level at the nominal scale of 1:5,000. This digital orthoimagery can serve a variety of purposes, from general planning, to field reference for spatial analysis, to a tool for development and revision of vector maps. It can also serve as a reference layer or basemap for myriad applications inside geographic information system (GIS) software. The project was funded by the Executive Office of Environmental Affairs, the Department of Environmental Protection, the Massachusetts Highway Department, and the Department of Public Health." proprietary
MassGIS_GISDATA.IMG_COQ2005 1:5,000 Color Ortho Imagery (2005) ALL STAC Catalog 2005-04-01 -73.54455, 41.19853, -69.8716, 42.908627 https://cmr.earthdata.nasa.gov/search/concepts/C1214592911-SCIOPS.umm_json "These medium resolution true color images are considered the new ""basemap"" for the Commonwealth by MassGIS and the Executive Office of Environmental Affairs (EOEA). The photography for the entire commonwealth was captured in April 2005 when deciduous trees were mostly bare and the ground was generally free of snow. Image type is 4-band (RGBN) natural color (Red, Green, Blue) and Near infrared in 8 bits (values ranging 0-255) per band format. Image horizontal accuracy is +/-3 meters at the 95% confidence level at the nominal scale of 1:5,000. This digital orthoimagery can serve a variety of purposes, from general planning, to field reference for spatial analysis, to a tool for development and revision of vector maps. It can also serve as a reference layer or basemap for myriad applications inside geographic information system (GIS) software. The project was funded by the Executive Office of Environmental Affairs, the Department of Environmental Protection, the Massachusetts Highway Department, and the Department of Public Health." proprietary
-MassGIS_GISDATA.VCPEATLAND_POLY Acidic Peatland Community Systems SCIOPS STAC Catalog 2003-04-01 -71.36416, 41.53563, -70.51623, 42.859413 https://cmr.earthdata.nasa.gov/search/concepts/C1214592150-SCIOPS.umm_json Acidic Peatland Community Systems include evergreen forest and shrub bogs, Atlantic White Cedar (AWC) swamps and bogs, and shrub and graminoid fens. This data was created by starting with the DEP Wetlands, creating a new set of just the bog, coniferous and mixed forested wetland types, and then adding, deleting and changing polygon shapes and labels based on aerial photo interpretation of the 1999/2000 photos and field information. In some areas where this wetland layer did not exist, the wetlands were interpreted and digitized from the aerial photos. The Acidic Peatland datalayer is named VCPEATLAND_POLY in ArcSDE. This layer is part of the MassGIS Priority Natural Vegetation Communities dataset, which depicts the distribution of the eight natural community systems identified by the Massachusetts Natural Heritage and Endangered Species Program (NHESP) as most critical to the conservation of the Commonwealth’s biological diversity (Barbour et al., 1998). proprietary
MassGIS_GISDATA.VCPEATLAND_POLY Acidic Peatland Community Systems ALL STAC Catalog 2003-04-01 -71.36416, 41.53563, -70.51623, 42.859413 https://cmr.earthdata.nasa.gov/search/concepts/C1214592150-SCIOPS.umm_json Acidic Peatland Community Systems include evergreen forest and shrub bogs, Atlantic White Cedar (AWC) swamps and bogs, and shrub and graminoid fens. This data was created by starting with the DEP Wetlands, creating a new set of just the bog, coniferous and mixed forested wetland types, and then adding, deleting and changing polygon shapes and labels based on aerial photo interpretation of the 1999/2000 photos and field information. In some areas where this wetland layer did not exist, the wetlands were interpreted and digitized from the aerial photos. The Acidic Peatland datalayer is named VCPEATLAND_POLY in ArcSDE. This layer is part of the MassGIS Priority Natural Vegetation Communities dataset, which depicts the distribution of the eight natural community systems identified by the Massachusetts Natural Heritage and Endangered Species Program (NHESP) as most critical to the conservation of the Commonwealth’s biological diversity (Barbour et al., 1998). proprietary
+MassGIS_GISDATA.VCPEATLAND_POLY Acidic Peatland Community Systems SCIOPS STAC Catalog 2003-04-01 -71.36416, 41.53563, -70.51623, 42.859413 https://cmr.earthdata.nasa.gov/search/concepts/C1214592150-SCIOPS.umm_json Acidic Peatland Community Systems include evergreen forest and shrub bogs, Atlantic White Cedar (AWC) swamps and bogs, and shrub and graminoid fens. This data was created by starting with the DEP Wetlands, creating a new set of just the bog, coniferous and mixed forested wetland types, and then adding, deleting and changing polygon shapes and labels based on aerial photo interpretation of the 1999/2000 photos and field information. In some areas where this wetland layer did not exist, the wetlands were interpreted and digitized from the aerial photos. The Acidic Peatland datalayer is named VCPEATLAND_POLY in ArcSDE. This layer is part of the MassGIS Priority Natural Vegetation Communities dataset, which depicts the distribution of the eight natural community systems identified by the Massachusetts Natural Heritage and Endangered Species Program (NHESP) as most critical to the conservation of the Commonwealth’s biological diversity (Barbour et al., 1998). proprietary
MatthewsVegetation_419_1 Global Vegetation Types, 1971-1982 (Matthews) ORNL_CLOUD STAC Catalog 1971-01-01 1982-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2808090466-ORNL_CLOUD.umm_json A global digital data base of vegetation was compiled at 1 degree latitude by 1 degree longitude resolution, drawing on approximately 100 published sources. Vegetation data from varied sources were consistently recorded using the hierarchical UNESCO classification system. The raw data base distinguishes about 180 vegetation types that have been collapsed to 32. proprietary
Mawson_Escarpment_Geo_1 Mawson Escarpment Geology GIS Dataset AU_AADC STAC Catalog 1998-04-10 1998-06-30 67.98, -73.71, 69.13, -72.47 https://cmr.earthdata.nasa.gov/search/concepts/C1214313616-AU_AADC.umm_json There are several ArcInfo coverages described by this metadata record - FRAME, GEOL, MAPGRID, SITES, STRLINE and STRUC (in that order). Each coverage is described below. The data is also provided as shapefiles and ArcInfo interchange files. The data was used for the Mawson Escarpment Geology map published in 1998. This map is available from a URL provided in this metadata record. FRAME: The coverage FRAME contains (arcs) and (polygon, label) and forms the limits of the data sets or map coverage of the MAWSON ESCARPMENT area of the AUSTRALIAN ANTARCTIC TERRITORY. The purpose or intentions for this dataset is to form a cookie cutter for future data which may be aquired and require clipping to the map/data area. GEOL: The coverage GEOL is historical geological data covering the MAWSON ESCARPMENT area. The data were captured in ARC/INFO format and combined with geological outcrops that were accurately digitised over a March 1989 Landsat Thematic Mapper image at a scale of 1:100000. It is not recomended that this data be used beyond this scale. The coverage contains Arcs (lines) and polygons (polygon labels). These object are attributed as fully as possible in their .aat file for arcs and .pat for polygon labels and conform with the Geoscience Australia Geoscience Data Dictionary Version 98.04 The purpose or intentions for the dataset is that it become part of a greater geological database of the Australian Antarctic Territory. (1998-04-10 - 1998-06-30) MAPGRID: MAPGRID is a graticule that was generated as a 5 minute by 5 minute grid mainly to allow for good location/registration of source materials for digitising and adding some locational anno.mapgrat This covers other function was to be used for a proof plot. (1998-04-22 - 1998-06-30) SITES: The purpose or intentions for this dataset is to provide the approximate location of this historic data on sample sites in the MAWSON ESCARPMENT region of the AUSTRALIAN ANTARCTIC TERRITORY, for future expansion or more accurate positioning when improved records of location are found. (1998-05-11 - 1998-06-30) STRLINE: This Structural lines for geology coverage is named (STRLINE). The purpose or intentions for the dataset is to have the linear structural features in their own coverage containing only structure which does not form polygon boundaries. (1998-05-28 - 1998-06-30) STRUC: This coverage called STRUC for structural measurements is a point coverage. It can be described as Mesoscopic structures at a site or outcrop. The purpose or intentions for the dataset is to provide all the known structural point data information in the one coverage. (1998-05-28 - 1998-06-30) proprietary
Mawson_SAM_1 Mawson Station GIS Dataset AU_AADC STAC Catalog 1996-03-18 1996-03-18 62.8583, -67.6072, 62.8886, -67.5936 https://cmr.earthdata.nasa.gov/search/concepts/C1214313636-AU_AADC.umm_json This dataset represents topographic features and facilities at Mawson and its immediate environs. Feature types include buildings, masts, tanks, roads, coastline and contours (1 metre interval). The data are included in the data available for download from a Related URL below. The data conform to the SCAR Feature Catalogue which include data quality information. See a Related URL below. Data described by this metadata record has Dataset_id = 111. Each feature has a Qinfo number which, when entered at the 'Search datasets and quality' tab, provides data quality information for the feature. Changes have occurred at the station since this dataset was produced. For example some buildings and other structures have been removed and some added. As a result the data available for download from a Related URL below is updated with new data having different Dataset_id(s). proprietary
@@ -11830,8 +11832,8 @@ Maxwell_Bay_Beaches_data Ages and Elevations of Raised Beaches around Maxwell Ba
Maxwell_Bay_Beaches_data Ages and Elevations of Raised Beaches around Maxwell Bay, South Shetland Islands ALL STAC Catalog 0500-01-01 2007-04-30 -59, -62.3, -58.833, -62.1 https://cmr.earthdata.nasa.gov/search/concepts/C1214590771-SCIOPS.umm_json This data set includes elevations, OSL ages, and one suspect radiocarbon date from several raised beaches around Maxwell Bay in the South Shetland Islands. It also includes some basic textural parameters (grain size, sorting, and roundness) from modern beaches, talus slopes, and moraines in the area. We also compiled a map of recent moraines in the Gerlache Straight. proprietary
McMurdo_Predator_Prey_Acoustics Acoustic records near McMurdo Station, Antarctica, 2012 - 2015. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1351106925-SCIOPS.umm_json Sonar data were collected to determine prey fields (krill, fishes) in McMurdo Sound, Antarctica proprietary
McMurdo_Predator_Prey_Acoustics Acoustic records near McMurdo Station, Antarctica, 2012 - 2015. SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1351106925-SCIOPS.umm_json Sonar data were collected to determine prey fields (krill, fishes) in McMurdo Sound, Antarctica proprietary
-McMurdo_Predator_Prey_Adelie_Penguins Adelie Penguins at Cape Royds, Antarctica, 2012 - 2015. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1351106459-SCIOPS.umm_json Adelie penguin data will be deposited in the California Avian Data Center (CADC) hosted by Point Blue Conservation Science (http://data.prbo.org/apps/penguinscience/). proprietary
McMurdo_Predator_Prey_Adelie_Penguins Adelie Penguins at Cape Royds, Antarctica, 2012 - 2015. SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1351106459-SCIOPS.umm_json Adelie penguin data will be deposited in the California Avian Data Center (CADC) hosted by Point Blue Conservation Science (http://data.prbo.org/apps/penguinscience/). proprietary
+McMurdo_Predator_Prey_Adelie_Penguins Adelie Penguins at Cape Royds, Antarctica, 2012 - 2015. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1351106459-SCIOPS.umm_json Adelie penguin data will be deposited in the California Avian Data Center (CADC) hosted by Point Blue Conservation Science (http://data.prbo.org/apps/penguinscience/). proprietary
Mean_Seasonal_LAI_1653_1 Global Monthly Mean Leaf Area Index Climatology, 1981-2015 ORNL_CLOUD STAC Catalog 1981-08-01 2015-08-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2764692443-ORNL_CLOUD.umm_json This dataset provides a global 0.25 degree x 0.25 degree gridded monthly mean leaf area index (LAI) climatology as averaged over the period from August 1981 to August 2015. The data were derived from the Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies (GIMMS) LAI3g version 2, a bi-weekly data product from 1981 to 2015 (GIMMS-LAI3g version 2). The LAI3g version 2 (raw) data were first regridded from 1/12 x 1/12 degree to 0.25 x 0.25 degree resolution, then processed to remove missing and unreasonable values, scaled to obtain LAI values, and the bi-weekly LAI values were averaged for every month. Finally, the monthly long-term mean LAI (1981-2015) was calculated. proprietary
Medit_Ligurian_0 Measurements from the Ligurian Sea OB_DAAC STAC Catalog 1999-09-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360477-OB_DAAC.umm_json Measurements taken in the Mediterranean Sea, the Ligurian Sea near Northern Italy and Southern France, and off the western coast of South Africa. proprietary
Menz50k_1 Mount Menzies 1:50000 Topographic GIS Dataset AU_AADC STAC Catalog 1973-01-15 1989-02-17 60.8667, -73.85, 63.1, -73.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214313643-AU_AADC.umm_json The Mount Menzies dataset is a topographic database. Mount Menzies is situated within the Southern Prince Charles Mountains, surrounded by the Fisher Glacier. The database contains natural features captured at a density appropriate to 1:50,000 scale. Features are represented as lines, points and polygons. The dataset includes a 20 metre interval contour coverage. The data is available for download as shapefiles from a Related URL below. The data conforms to the SCAR Feature Catalogue which includes data quality information. See a Related URL below. Each feature has a Qinfo number which, when entered at the 'Search datasets & quality' tab, provides data quality information for the feature. proprietary
@@ -11840,16 +11842,16 @@ MetOpB_GOME2_SIF_2182_1 L2 Daily Solar-Induced Fluorescence (SIF) from MetOp-B G
Meteorological_1065_1 BIGFOOT Meteorological Data for North and South American Sites, 1991-2004 ORNL_CLOUD STAC Catalog 1991-01-01 2004-12-31 -156.61, -2.87, -54.96, 71.27 https://cmr.earthdata.nasa.gov/search/concepts/C2751482070-ORNL_CLOUD.umm_json The BigFoot Project has compiled daily meteorological measurements for nine EOS Land Validation Sites located from Alaska to Brazil from 1991 to 2004. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest.The BigFoot Project needed meteorological data to run the ecosystem process models used for scaling GPP and NPP products, for monitoring interannual variability, and for model testing. Meteorological data were obtained from various agencies collecting data in the vicinity of the BigFoot sites and for more recent years, collected on co-located CO2 flux measurement towers. A comparable set of original measurements from all sites were aggregated to a common daily time step for use in the BIOME-BGC model. proprietary
Meteorology_Log_Commonwealth_Bay_1977_1978_1 A log of meteorological observations made at Commonwealth Bay between 1977 and 1978 AU_AADC STAC Catalog 1977-01-01 1978-12-31 142.5, -67, 142.5, -67 https://cmr.earthdata.nasa.gov/search/concepts/C1214311178-AU_AADC.umm_json This document contains a report/log on meteorological observations from Commonwealth Bay in 1977-1978. Some references are also made to the Australasian Antarctic Expedition of Sir Douglas Mawson, 1911-1914. The hard copy of the log has been archived by the Australian Antarctic Division library. proprietary
Meteorology_Log_Commonwealth_Bay_1977_1978_1 A log of meteorological observations made at Commonwealth Bay between 1977 and 1978 ALL STAC Catalog 1977-01-01 1978-12-31 142.5, -67, 142.5, -67 https://cmr.earthdata.nasa.gov/search/concepts/C1214311178-AU_AADC.umm_json This document contains a report/log on meteorological observations from Commonwealth Bay in 1977-1978. Some references are also made to the Australasian Antarctic Expedition of Sir Douglas Mawson, 1911-1914. The hard copy of the log has been archived by the Australian Antarctic Division library. proprietary
-Methane_Ebullition_Lakes_AK_1861_1 ABoVE: Methane Ebullition Hotspots in Frozen Lakes near Fairbanks, Alaska, Oct 2014 ORNL_CLOUD STAC Catalog 2014-10-08 2014-10-08 -147.94, 64.86, -147.77, 64.94 https://cmr.earthdata.nasa.gov/search/concepts/C2143401746-ORNL_CLOUD.umm_json This dataset includes maps of the locations and number of methane ebullition hotspots in 15 frozen lakes in the southern portion of the Goldstream Valley and the surrounding landscape just north of Fairbanks, Alaska, USA. Hotspots were identified from early winter high resolution aerial photographs acquired three days after lake-ice formation in October 2014. Hotspot ebullition seeps are defined as point-sources of high ebullition that release methane from lake sediments year-round. High rates of bubbling impede ice formation. In early winter, bubbling leads to dark, round open holes in lake ice which were visible in the aerial photos. This project investigated the role of theromkarst lakes in thawing of permafrost and mobilization of organic carbon in frozen soils. proprietary
Methane_Ebullition_Lakes_AK_1861_1 ABoVE: Methane Ebullition Hotspots in Frozen Lakes near Fairbanks, Alaska, Oct 2014 ALL STAC Catalog 2014-10-08 2014-10-08 -147.94, 64.86, -147.77, 64.94 https://cmr.earthdata.nasa.gov/search/concepts/C2143401746-ORNL_CLOUD.umm_json This dataset includes maps of the locations and number of methane ebullition hotspots in 15 frozen lakes in the southern portion of the Goldstream Valley and the surrounding landscape just north of Fairbanks, Alaska, USA. Hotspots were identified from early winter high resolution aerial photographs acquired three days after lake-ice formation in October 2014. Hotspot ebullition seeps are defined as point-sources of high ebullition that release methane from lake sediments year-round. High rates of bubbling impede ice formation. In early winter, bubbling leads to dark, round open holes in lake ice which were visible in the aerial photos. This project investigated the role of theromkarst lakes in thawing of permafrost and mobilization of organic carbon in frozen soils. proprietary
+Methane_Ebullition_Lakes_AK_1861_1 ABoVE: Methane Ebullition Hotspots in Frozen Lakes near Fairbanks, Alaska, Oct 2014 ORNL_CLOUD STAC Catalog 2014-10-08 2014-10-08 -147.94, 64.86, -147.77, 64.94 https://cmr.earthdata.nasa.gov/search/concepts/C2143401746-ORNL_CLOUD.umm_json This dataset includes maps of the locations and number of methane ebullition hotspots in 15 frozen lakes in the southern portion of the Goldstream Valley and the surrounding landscape just north of Fairbanks, Alaska, USA. Hotspots were identified from early winter high resolution aerial photographs acquired three days after lake-ice formation in October 2014. Hotspot ebullition seeps are defined as point-sources of high ebullition that release methane from lake sediments year-round. High rates of bubbling impede ice formation. In early winter, bubbling leads to dark, round open holes in lake ice which were visible in the aerial photos. This project investigated the role of theromkarst lakes in thawing of permafrost and mobilization of organic carbon in frozen soils. proprietary
Methane_Ethane_MA_NH_1982_1 Methane and Ethane Observations for Boston, MA, 2012-2020 ORNL_CLOUD STAC Catalog 2012-08-01 2020-05-31 -72.4, 41.5, -69.8, 43.71 https://cmr.earthdata.nasa.gov/search/concepts/C2345793484-ORNL_CLOUD.umm_json This dataset provides the hourly average of continuous atmospheric measurements of methane (CH4) from two urban sites and three boundary sites in and around Boston, Massachusetts, U.S., from September 2012-May 2020, measured with Picarro cavity ring down spectrometers (CRDS). Five-minute average atmospheric measurements of ethane (C2H6) and methane at Copley Square in Boston, MA, are also provided, with ethane measured with a laser spectrometer and methane measured with a Picarro CRDS. Background CH4 concentrations for the urban sites were determined using Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model trajectories at the boundary of the study region based on measurements at three boundary sites and wind direction from the North American Mesoscale Forecast System (NAM) 12-kilometer meteorology. proprietary
Methane_Flaring_Sites_VIIRS_1874_1 Global Gas Flare Survey by Infrared Imaging, VIIRS Nightfire, 2012-2019 ORNL_CLOUD STAC Catalog 2012-01-01 2019-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2345877554-ORNL_CLOUD.umm_json This dataset contains annual global flare site surveys from 2012-2019 derived from Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar Partnership (SNPP) satellite. Gas flaring sites were identified from heat anomalies first estimated by the VIIRS Nightfire (VNF) algorithm from which high-temperature biomass burning and low-temperature gas flaring were separated based on temperature and persistence. Nightly observations for each flare site were drawn to determine their activity in the given calendar year. Data include flare location, temperature, and estimated flared gas volume; flaring data summarized by country; and KMZ files for viewing flaring locations in Google Earth. This dataset is valuable for measuring the current status of global gas flaring, which can have significant environmental impacts. proprietary
Microbiome_0 Tara microbiome OB_DAAC STAC Catalog 2020-12-26 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108362424-OB_DAAC.umm_json Tara microbiome is the latest Tara expedition focused on plankton. The Microbiome Mission will help us understand the services provided by this essential ecosystem of the Ocean, its microbiome, an increasingly crucial challenge for scientific research and is done in conjunction with the AtlantECO program where additional ships will collect similar variables. proprietary
Mid-latitude_soils_705_2 Northern and Mid-Latitude Soil Database, Version 1, R1 ORNL_CLOUD STAC Catalog 2001-01-01 2001-12-31 -180, 50.9, -129.3, 71.4 https://cmr.earthdata.nasa.gov/search/concepts/C2216863233-ORNL_CLOUD.umm_json The U.S. Department of Agriculture, Agriculture and Agri-Food Canada, the Russian Academy of Agricultural Sciences, the University of Copenhagen Institute of Geography, the European Soil Bureau, the University of Manchester Institute of Landscape Ecology, MTT Agrifood Research Finland, and the Agricultural Research Institute Iceland have shared data and expertise in order to develop the Northern and Mid Latitude Soil Database (Cryosol Working Group, 2001). This database was the source of data for the current product. The spatial coverage of the Northern and Mid Latitude Soil Database is the polar and mid-latitude regions of the northern hemisphere: Alaska, Canada, Conterminous United States, Eurasia (except Italy), Greenland, Iceland, Kazakstan, Mexico, Mongolia, Italy, and Svalbard. The Northern and Mid-Latitude Soil Database represents the proportion (percentage) of polygon encompassed by the dominant soil or nonsoil. Soils include turbels, orthels, histels, histosols, mollisols, vertisols, aridisols, andisols, entisols, spodosols, inceptisols (and hapludolls), alfisols (cryalf and udalf), natric great groups, aqu-suborders, glaciers, and rocklands. Also included are data on the circumpolar distribution of gelisols (turbels, orthels, and histels), and the ice content (low, medium, or high) of circumpolar soil materials (from the International Permafrost Association, 1997). The resulting maps show the dominant soil of the spatial polygon unless the polygon is over 90 percent rock or ice. Data are in the U.S. soil classification system and includes the distribution of soil types (%) within a map unit (polygon). Data are available in ESRI shapefile format and include the same attribute values with the exception of Italy, which does not contain distribution values. proprietary
Missouri_Reservoirs_RSWQ_0 Retrospective analysis of anthropogenic change in Midwest reservoirs: Integrating earth observing data with statewide reservoir monitoring programs OB_DAAC STAC Catalog 2023-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785397264-OB_DAAC.umm_json The dataset comprises in-situ hyperspectral data acquired using the on-water approach (aka skylight-blocked approach), using a combination of a downwelling irradiance sensor and an upwelling radiance sensor. These sensors are specifically TriOS RAMSES hyperspectral radiometers, each associated with two calibration files. The data collection was conducted across different reservoirs in the state of Missouri USA. This NASA-funded project directly addresses how Earth-observing satellite data can better inform critical links between the biogeochemical and optical properties of inland waters. It achieves this by using satellite imagery and in-situ measurements from two long-running water quality monitoring programs in the state of Missouri that annually record more than one thousand measurements of nitrogen, phosphorus, chlorophyll-a, Secchi depth, particulate organic and inorganic matter, and cyanotoxins across 100 reservoirs. proprietary
MonthlyWetland_CH4_WetCHARTsV2_2346_1.3.3 CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.3) ORNL_CLOUD STAC Catalog 2001-01-01 2022-08-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3236621594-ORNL_CLOUD.umm_json This dataset provides global monthly wetland methane (CH4) emissions estimates at 0.5 by 0.5-degree resolution for the period 2001-01-01 to 2022-08-31 that were derived from an ensemble of multiple terrestrial biosphere models, wetland extent scenarios, and CH4:C temperature dependencies that encompass the main sources of uncertainty in wetland CH4 emissions. There are 18 model configurations. WetCHARTs v1.3.3 is an updated product of WetCHARTs v1.3.1 dataset. The intended use of this product is as a process-informed wetland CH4 emission data set for atmospheric chemistry and transport modeling. Users can compare estimates by model configuration to explore variability and sensitivity with respect to ensemble members. The data are provided in netCDF format. proprietary
-Monthly_Hydrological_Fluxes_1647_1 ABoVE: Monthly Hydrological Fluxes for Canada and Alaska, 1979-2018 ORNL_CLOUD STAC Catalog 1979-01-01 2018-04-01 -172.25, 41.75, -53.43, 83.12 https://cmr.earthdata.nasa.gov/search/concepts/C2170971533-ORNL_CLOUD.umm_json This dataset provides modeled estimates of monthly hydrological fluxes at 0.25-degree resolution over Alaska and Canada for the years 1979-2018. The estimates were derived from the Variable Infiltration Capacity (VIC) macroscale hydrological model version 4.1.2 with water and energy balance schemes at 0.25-degree spatial and daily temporal resolution for this 38-year period. The gridded output data products are monthly average water balance variables including precipitation (P), evapotranspiration (E), 'P minus E', evaporation, soil moisture in three soil layers, base flow and runoff, snow depth, snow water equivalent (SWE), and snow sublimation, and energy balance variables including surface temperature, albedo, latent and sensible heat flux, ground heat flux, short- and long-wave and other radiative fluxes. The daily modeled values for precipitation and evapotranspiration were also aggregated to water years and precipitation was also aggregated to a 30-year climate normal average. proprietary
Monthly_Hydrological_Fluxes_1647_1 ABoVE: Monthly Hydrological Fluxes for Canada and Alaska, 1979-2018 ALL STAC Catalog 1979-01-01 2018-04-01 -172.25, 41.75, -53.43, 83.12 https://cmr.earthdata.nasa.gov/search/concepts/C2170971533-ORNL_CLOUD.umm_json This dataset provides modeled estimates of monthly hydrological fluxes at 0.25-degree resolution over Alaska and Canada for the years 1979-2018. The estimates were derived from the Variable Infiltration Capacity (VIC) macroscale hydrological model version 4.1.2 with water and energy balance schemes at 0.25-degree spatial and daily temporal resolution for this 38-year period. The gridded output data products are monthly average water balance variables including precipitation (P), evapotranspiration (E), 'P minus E', evaporation, soil moisture in three soil layers, base flow and runoff, snow depth, snow water equivalent (SWE), and snow sublimation, and energy balance variables including surface temperature, albedo, latent and sensible heat flux, ground heat flux, short- and long-wave and other radiative fluxes. The daily modeled values for precipitation and evapotranspiration were also aggregated to water years and precipitation was also aggregated to a 30-year climate normal average. proprietary
+Monthly_Hydrological_Fluxes_1647_1 ABoVE: Monthly Hydrological Fluxes for Canada and Alaska, 1979-2018 ORNL_CLOUD STAC Catalog 1979-01-01 2018-04-01 -172.25, 41.75, -53.43, 83.12 https://cmr.earthdata.nasa.gov/search/concepts/C2170971533-ORNL_CLOUD.umm_json This dataset provides modeled estimates of monthly hydrological fluxes at 0.25-degree resolution over Alaska and Canada for the years 1979-2018. The estimates were derived from the Variable Infiltration Capacity (VIC) macroscale hydrological model version 4.1.2 with water and energy balance schemes at 0.25-degree spatial and daily temporal resolution for this 38-year period. The gridded output data products are monthly average water balance variables including precipitation (P), evapotranspiration (E), 'P minus E', evaporation, soil moisture in three soil layers, base flow and runoff, snow depth, snow water equivalent (SWE), and snow sublimation, and energy balance variables including surface temperature, albedo, latent and sensible heat flux, ground heat flux, short- and long-wave and other radiative fluxes. The daily modeled values for precipitation and evapotranspiration were also aggregated to water years and precipitation was also aggregated to a 30-year climate normal average. proprietary
MultiInstrumentFusedXCO2_3 Multi-Instrument Fused bias-corrected XCO2 and other select fields aggregated as Level 4 daily files V3 (MultiInstrumentFusedXCO2) GES_DISC STAC Catalog 2014-09-06 2020-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2219373930-GES_DISC.umm_json Gridded carbon dioxide mole fraction (XCO2) and other select variables created by applying local kriging (also known as optimal interpolation) to daily aggregates of Orbiting Carbon Observatory (OCO-2) and Greenhouse Gases Observing Satellite (GOSAT) bias corrected data. This is the latest version of this collection. The DOIs assigned to previous versions, which are no longer available, now direct to this page. proprietary
MultiInstrumentFusedXCO2_4 Multi-Instrument Fused bias-corrected XCO2 and other select fields aggregated as Level 3 daily files V4 (MultiInstrumentFusedXCO2) GES_DISC STAC Catalog 2014-09-06 2021-05-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3278456754-GES_DISC.umm_json Gridded carbon dioxide mole fraction (XCO2) and other select variables created by applying local kriging (also known as optimal interpolation) to daily aggregates of Orbiting Carbon Observatory (OCO-2) and Greenhouse Gases Observing Satellite (GOSAT) bias corrected data. This is the latest version of this collection. The DOIs assigned to previous versions, which are no longer available, now direct to this page. proprietary
MumfordCove_0 Measurements from Mumford Cove, Connecticut OB_DAAC STAC Catalog 2015-10-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360493-OB_DAAC.umm_json Measurements made in and around Mumford Cove, Connecticut since 2015. proprietary
@@ -12000,8 +12002,8 @@ NASADEM_SIM_001 NASADEM SRTM Image Mosaic Global 1 arc second V001 LPCLOUD STAC
NASADEM_SSP_001 NASADEM SRTM Subswath Global 1 arc second V001 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763266329-LPCLOUD.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Digital Elevation Model (DEM) version 1 (NASADEM_SSP) dataset, which provides global Shuttle Radar Topography Mission (SRTM) sub-swath elevation data at 1 arc second spacing. NASADEM data products were derived from original telemetry data from the Shuttle Radar Topography Mission (SRTM), a collaboration between NASA and the National Geospatial-Intelligence Agency (NGA), as well as participation from the German and Italian space agencies. SRTM’s primary focus was to generate a near-global DEM of the Earth using radar interferometry. It was a primary component of the payload on space shuttle Endeavour during its STS-99 mission, which was launched on February 11, 2000, and flew for 11 days. In addition to Terra Advanced Spaceborne Thermal and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) Version 3 data, NASADEM also relied on Ice, Cloud, and Land Elevation Satellite (ICESat) Geoscience Laser Altimeter System (GLAS) ground control points of its lidar shots to improve surface elevation measurements that led to improved geolocation accuracy. Other reprocessing improvements include the conversion to geoid reference and the use of GDEMs and Advanced Land Observing Satellite Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) AW3D30 DEM, and interpolation for void filling. NASADEM are distributed in 1 degree latitude by 1 degree longitude tiles and consist of all land between 60° N and 56° S latitude. This accounts for about 80% of Earth’s total landmass. NASADEM_SSP data product layers include radar total correlation, radar volumetric correlation, radar individual images, radar incidence angle (relative to ellipsoid), and radar incidence angle (local). A low-resolution browse image showing sub-swath elevation is also available for each NASADEM_SSP granule. proprietary
NASAPHOTOS NASA Aerial Photography USGS_LTA STAC Catalog 1969-07-16 -180, 24, -60, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1220566083-USGS_LTA.umm_json The National Aeronautics and Space Administration (NASA) Aerial Photography data set is a film archive of photographs from the Lyndon B. Johnson Space Center (JSC) in Houston, Texas, and the NASA Ames Research Center in Moffett Field, California. In 1965, the JSC initiated the Earth Resources Aircraft Program and began flying photographic missions for Federal Government agencies and other entities involved in remote sensing experiments. Beginning in 1966, NASA conducted an Earth Observations Program, including Earth surveys using aircraft platforms. Photographs from a variety of NASA programs provide project-specific coverage over the United States, Grand Bahama, Jamaica, and Central America at base scales ranging from 1:16,000 scale to 1:450,000 scale. Film types, scales, acquisition schedules, flight altitudes, and end products differ, according to project requirements. proprietary
NASASatellite_Dev_Applications_2293_1 Development and Evolution of NASA Satellite Remote Sensing for Ecology ORNL_CLOUD STAC Catalog 1972-01-01 2014-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3116697926-ORNL_CLOUD.umm_json This dataset provides a presentation that highlights the role NASA research and researchers played in developing a wide range of significant, quantitative ecological applications of satellite data. The presentation by Dr Diane E. Wickland, former NASA Terrestrial Ecology Program Manager and Lead for NASA Carbon Cycle and Ecosystems Focus Area, provides a top-level overview from her perspective of the development and evolution of the program. Dr Wickland joined NASA in 1985 to manage a newly formed Terrestrial Ecosystems Program. Along with other NASA program managers, she was charged with reorienting the program to be less empirical and have a greater focus on first principles, and to prepare for a next generation of earth-observing satellites. As an ecologist, she thought that focusing on important ecological questions and recruiting practicing ecologists to the program would facilitate such a change in directions. The presentation emphasizes the early years of U.S. satellite remote sensing and covers a few highlights after 2005. proprietary
-NASA_ARC_ASHOE_MAESA_DATA Airborne Southern Hemisphere Ozone Experiment Measurements for Assessing the Effects of Stratospheric Aircraft (ASHOE/MAESA) SCIOPS STAC Catalog 1994-03-01 1994-11-30 173, -43, -122, 37 https://cmr.earthdata.nasa.gov/search/concepts/C1214607898-SCIOPS.umm_json [Summary Adapted from the ASHOE/MAESA Home Page] This CD-ROM contains data pertaining to the combined experiment: Airborne Southern Hemisphere Ozone Experiment; and Measurements for Assessing the Effects of Stratospheric Aircraft (ASHOE/MAESA). This experiment was conducted in four phases between March and November 1994 at NASA Ames Research Center, California; Barbers Point, Hawaii; and Christchurch, New Zealand. The data consist of in situ and remotely sensed measurements collected onboard the NASA ER-2 aircraft; radiosonde, ozonesonde, and backscatter sonde balloon measurements; ground-based spectrometer and lidar measurements; and SAGE II satellite measurements. Theory teams provided calculations of: meteorological parameters in the form of partial hemispheric analyses, cross-sections along the ER-2 flight track, interpolations to the ER-2 flight path, and back- trajectories of selected parcels along the ER-2 flight path; photodissociation rates of selected chemical species along the ER-2 flight path; and cloud properties along the ER-2 flight track. This data along with several other aircraft field experiments are also maintained in an on-line archive. Link to the NASA Ames Earth Science Division Project Office WWW page for information on these projects. https://www.espo.nasa.gov proprietary
NASA_ARC_ASHOE_MAESA_DATA Airborne Southern Hemisphere Ozone Experiment Measurements for Assessing the Effects of Stratospheric Aircraft (ASHOE/MAESA) ALL STAC Catalog 1994-03-01 1994-11-30 173, -43, -122, 37 https://cmr.earthdata.nasa.gov/search/concepts/C1214607898-SCIOPS.umm_json [Summary Adapted from the ASHOE/MAESA Home Page] This CD-ROM contains data pertaining to the combined experiment: Airborne Southern Hemisphere Ozone Experiment; and Measurements for Assessing the Effects of Stratospheric Aircraft (ASHOE/MAESA). This experiment was conducted in four phases between March and November 1994 at NASA Ames Research Center, California; Barbers Point, Hawaii; and Christchurch, New Zealand. The data consist of in situ and remotely sensed measurements collected onboard the NASA ER-2 aircraft; radiosonde, ozonesonde, and backscatter sonde balloon measurements; ground-based spectrometer and lidar measurements; and SAGE II satellite measurements. Theory teams provided calculations of: meteorological parameters in the form of partial hemispheric analyses, cross-sections along the ER-2 flight track, interpolations to the ER-2 flight path, and back- trajectories of selected parcels along the ER-2 flight path; photodissociation rates of selected chemical species along the ER-2 flight path; and cloud properties along the ER-2 flight track. This data along with several other aircraft field experiments are also maintained in an on-line archive. Link to the NASA Ames Earth Science Division Project Office WWW page for information on these projects. https://www.espo.nasa.gov proprietary
+NASA_ARC_ASHOE_MAESA_DATA Airborne Southern Hemisphere Ozone Experiment Measurements for Assessing the Effects of Stratospheric Aircraft (ASHOE/MAESA) SCIOPS STAC Catalog 1994-03-01 1994-11-30 173, -43, -122, 37 https://cmr.earthdata.nasa.gov/search/concepts/C1214607898-SCIOPS.umm_json [Summary Adapted from the ASHOE/MAESA Home Page] This CD-ROM contains data pertaining to the combined experiment: Airborne Southern Hemisphere Ozone Experiment; and Measurements for Assessing the Effects of Stratospheric Aircraft (ASHOE/MAESA). This experiment was conducted in four phases between March and November 1994 at NASA Ames Research Center, California; Barbers Point, Hawaii; and Christchurch, New Zealand. The data consist of in situ and remotely sensed measurements collected onboard the NASA ER-2 aircraft; radiosonde, ozonesonde, and backscatter sonde balloon measurements; ground-based spectrometer and lidar measurements; and SAGE II satellite measurements. Theory teams provided calculations of: meteorological parameters in the form of partial hemispheric analyses, cross-sections along the ER-2 flight track, interpolations to the ER-2 flight path, and back- trajectories of selected parcels along the ER-2 flight path; photodissociation rates of selected chemical species along the ER-2 flight path; and cloud properties along the ER-2 flight track. This data along with several other aircraft field experiments are also maintained in an on-line archive. Link to the NASA Ames Earth Science Division Project Office WWW page for information on these projects. https://www.espo.nasa.gov proprietary
NASA_Airborne_Lidar_Flights_1 Data from NASA Langley Airborne Lidar flights. LARC_ASDC STAC Catalog 1982-07-01 1992-05-26 180, -50, -180, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1536056467-LARC_ASDC.umm_json Data from the 1982 NASA Langley Airborne Lidar flights following the eruption of El Chichon beginning in July 1982 and continuing to January 1984. Data in ASCII format. proprietary
NASA_OMI_3.0 Aura OMI complete NASA dataset ESA STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336929-ESA.umm_json The OMI observations provide the following capabilities and features: • A mapping of ozone columns at 13 km x 24 km and profiles at 13 km x 48 km • A measurement of key air quality components: NO2, SO2, BrO, HCHO, and aerosol • The ability to distinguish between aerosol types, such as smoke, dust and sulfates • The ability to measure aerosol absorption capacity in terms of aerosol absorption optical depth or single scattering albedo • A measurement of cloud pressure and coverage • A mapping of the global distribution and trends in UV-B radiation The OMI data are available in the following four levels: Level 0, Level 1B, Level 2, and Level 3. • Level 0 products are raw sensor counts. Level 0 data are packaged into two-hour "chunks" of observations in the life of the spacecraft (and the OMI aboard it) irrespective of orbital boundaries. They contain orbital swath data. • Level 1B processing takes Level 0 data and calibrates, geo-locates and packages the data into orbits. They contain orbital swath data. • Level 2 products contain orbital swath data. • Level 3 products contain global data that are composited over time (daily or monthly) or over space for small equal angle (latitude longitude) grids covering the whole globe. proprietary
NASMo_TiAM_250m_2326_1 NASMo-TiAM 250m 16-day North America Surface Soil Moisture Dataset ORNL_CLOUD STAC Catalog 2002-06-26 2020-12-31 -180, 14.53, -40, 82.72 https://cmr.earthdata.nasa.gov/search/concepts/C2905457765-ORNL_CLOUD.umm_json This NASMo-TiAM (North America Soil Moisture Dataset Derived from Time-Specific Adaptable Machine Learning Models) dataset holds gridded estimates of surface soil moisture (0-5 cm depth) at a spatial resolution of 250 meters over 16-day intervals from mid-2002 to December 2020 for North America. The model employed Random Forests to downscale coarse-resolution soil moisture estimates (0.25 deg) from the European Space Agency Climate Change Initiative (ESA CCI) based on their correlation with a set of static (terrain parameters, bulk density) and dynamic covariates (Normalized Difference Vegetation Index, land surface temperature). NASMo-TiAM 250m predictions were evaluated through cross-validation with ESA CCI reference data and independent ground-truth validation using North American Soil Moisture Database (NASMD) records. The data are provided in cloud optimized GeoTIFF format. proprietary
@@ -12010,12 +12012,12 @@ NAWQAHIS GIS Coverage for the National Water-Quality Assessment (NAWQA) Program
NA_MODIS_Surface_Biophysics_1210_1 MODIS-derived Biophysical Parameters for 5-km Land Cover, North America, 2000-2012 ORNL_CLOUD STAC Catalog 2000-01-01 2012-12-31 -160, 20, -40, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2784871888-ORNL_CLOUD.umm_json This data set provides MODIS-derived surface biophysical climatologies of bidirectional distribution function (BRDF), BDRF/albedo, land surface temperature (LST), leaf area index (LAI), and evapotranspiration (ET) as separate files for each of the MODIS land cover types, and four radiative forcing data files for four scenarios of potential vegetation shifts in North America. Each biophysical variable has temporal periods that represent the average of all 8-day periods from the years 2000-2012. The data have a spatial resolution of 0.05 degree (~5 km) and a temporal resolution of eight days. Additionally, a file containing diffuse fraction of surface downward solar radiation (DiffuseFraction) at a monthly scale, and a file containing snow water equivalent (SWE) are provided. The extent of the data covers the land area of North America, from 20 to 60 degrees N. The land-cover map used was synthesized from nine yearly 500-m MODIS land-cover layers (MCD12 Q1 Collection 5) for 2001-2008. These high-resolution land data were originally developed for quantifying biophysical forcing from land-use changes associated with forestry activities, such as radiative forcing from altered surface albedo. proprietary
NA_TreeAge_1096_1 NACP Forest Age Maps at 1-km Resolution for Canada (2004) and the U.S.A. (2006) ORNL_CLOUD STAC Catalog 1950-01-01 2006-12-31 179.25, 7.71, -39.87, 67.01 https://cmr.earthdata.nasa.gov/search/concepts/C2556019064-ORNL_CLOUD.umm_json This data set provides forest age map products at 1-km resolution for Canada and the United States (U.S.A.). These continental forest age maps were compiled from forest inventory data, historical fire data, optical satellite data, and the images from the NASA Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) project. These input data products have various sources and creation dates as described in the source paper by Pan et al. (2011). Canadian maps were produced with data available through 2004 and U.S.A. maps with data available through 2006. A supplementary map of the standard deviations for age estimates was developed for quantifying uncertainty.Note that the Pan et al. (2011) paper is included as a companion file with this data set and was the source of descriptions in the guide.Forest age, implicitly reflecting the past disturbance legacy, is a simple and direct surrogate for the time since disturbance and may be used in various forest carbon analyses that concern the impact of disturbances. By combining geographic information about forest age with estimated carbon dynamics by forest type, it is possible to conduct a simple but powerful analysis of the net CO2 uptake by forests, and the potential for increasing (or decreasing) this rate as a result of direct human intervention in the disturbance/age status. proprietary
NBCD2000_V2_1161_2 NACP Aboveground Biomass and Carbon Baseline Data, V.2 (NBCD 2000), U.S.A., 2000 ORNL_CLOUD STAC Catalog 1999-01-01 2002-12-31 -126.46, 26.52, -67.96, 49.79 https://cmr.earthdata.nasa.gov/search/concepts/C2539954386-ORNL_CLOUD.umm_json The NBCD 2000 (National Biomass and Carbon Dataset for the Year 2000) data set provides a high-resolution (30 m) map of year-2000 baseline estimates of basal area-weighted canopy height, aboveground live dry biomass, and standing carbon stock for the conterminous United States. This data set distributes, for each of 66 map zones, a set of six raster files in GeoTIFF format. There is a detailed README companion file for each map zone. There is also an ArcGIS shapefile (mapping_zone_shapefile.shp) with the boundaries of all the map zones. A mosaic image of biomass at 240 m resolution for the whole conterminous U.S. is also included.Please read this important note regarding the differences of Version 2 from Version 1 of the NBCD 2000 data. With Version 1, in some mapping zones, certain land cover types (in particular Shrubs, NLCD Type 52) were missing from and unaccounted for in modeled estimates because of a lack of reference data. In Version 1, when landcover types were missing in the models, the model for the deciduous tree cover type was applied. While more woody vegetation was mapped, the authors think this had little effect on model performance as in most cases NLCD version 1 cover type was not a strong predictor of modeled estimates (See companion Mapping Zone Readme files). In Version 2, after renewed modeling efforts and user feedback, these previously unaccounted for cover types are now included in modeled estimates.All 66 mapping zones were updated with the previously unmapped land cover types now mapped. The authors recommend use of the new version for all analyses and will only support the updated version.Development of the data set used an empirical modeling approach that combined USDA Forest Service Forest Inventory and Analysis (FIA) data with high-resolution InSAR data acquired from the 2000 Shuttle Radar Topography Mission (SRTM) and optical remote sensing data acquired from the Landsat ETM+ sensor. Three-season Landsat ETM+ data were systematically compiled by the Multi-Resolution Land Characteristics Consortium (MRLC) between 1999 and 2002 for the entire U.S. and were the foundation for development of both the USGS National Land Cover Dataset 2001 (NLCD 2001) and the Landscape Fire and Resource Management Planning Tools Project (LANDFIRE). Products from both the NLCD 2001 (landcover and canopy density) and LANDFIRE (existing vegetation type) projects as well as topographic information from the USGS National Elevation Dataset (NED) were used within the NBCD 2000 project as spatial predictor layers for canopy height and biomass estimation. Forest survey data provided by the USDA Forest Service FIA program were made available to the project under a national Memorandum of Understanding. The response variables (canopy height and biomass) used in model development and validation were derived from the FIA database (FIADB). Production of the NLCD 2001 and LANDFIRE projects was based on a mapping zone approach in which the conterminous U.S. was split into 66 ecoregionally distinct mapping zones. This mapping zone approach was also adopted by the NBCD 2000 project. proprietary
-NBId0001_101 Africa Outline, Integrated Terrain Units, Agric. Landuse, Soils, Vegetation CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849282-CEOS_EXTRA.umm_json These datasets (Africa Outline, Agricultural Landuse, Africa Soils, Vegetation, Surface Hydrography, Hydrologic Basins, Desertification Hazard Model) are part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses in this case on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Soil Resources, Management and Conservation Service, Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. The database was developed by the United Nations Environment Program (UNEP) as part of a project initiated by UNEP. The base maps used were the FAO/UNESCO Soil Map of the World (1977) in Miller Oblated Stereographic projection, FAO Maps and Statistical Data by Administrative Unit and the Rand-McNally New International Atlas (1982) to clarify unit boundaries. All sources were re-registered to the basemap by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done using an unpublished algorithm developed by the US Geological Survey and ESRI to create coverage's for one-degree graticules. For details about each dataset, visit the individual entries. proprietary
NBId0001_101 Africa Outline, Integrated Terrain Units, Agric. Landuse, Soils, Vegetation ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849282-CEOS_EXTRA.umm_json These datasets (Africa Outline, Agricultural Landuse, Africa Soils, Vegetation, Surface Hydrography, Hydrologic Basins, Desertification Hazard Model) are part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses in this case on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Soil Resources, Management and Conservation Service, Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. The database was developed by the United Nations Environment Program (UNEP) as part of a project initiated by UNEP. The base maps used were the FAO/UNESCO Soil Map of the World (1977) in Miller Oblated Stereographic projection, FAO Maps and Statistical Data by Administrative Unit and the Rand-McNally New International Atlas (1982) to clarify unit boundaries. All sources were re-registered to the basemap by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done using an unpublished algorithm developed by the US Geological Survey and ESRI to create coverage's for one-degree graticules. For details about each dataset, visit the individual entries. proprietary
-NBId0006_101 African Meteorology (GIS Coverage of Precipitation and Winds) CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848036-CEOS_EXTRA.umm_json New-ID: NBI06 Dataset covers mean annual rainfall distribution, number of wet days, wind speed and velocity. The Africa Meteorological Dataset documentation The Africa Meteorological dataset is part of the UNEP/FAO/ESRI Database project that covers the entire world but focused on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by Food and Agriculture Organization (FAO), the Soil Resources, Management and Conservation Service Land and Water Development Division, Italy. This dataset was developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The base maps used were hand drawn climate maps from FAO. All sources were re-registered to the FAO Soil Map of the world (1984) in Miller Oblated Stereographic projection by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/ longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverages for one-degree graticules. proprietary
+NBId0001_101 Africa Outline, Integrated Terrain Units, Agric. Landuse, Soils, Vegetation CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849282-CEOS_EXTRA.umm_json These datasets (Africa Outline, Agricultural Landuse, Africa Soils, Vegetation, Surface Hydrography, Hydrologic Basins, Desertification Hazard Model) are part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses in this case on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Soil Resources, Management and Conservation Service, Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. The database was developed by the United Nations Environment Program (UNEP) as part of a project initiated by UNEP. The base maps used were the FAO/UNESCO Soil Map of the World (1977) in Miller Oblated Stereographic projection, FAO Maps and Statistical Data by Administrative Unit and the Rand-McNally New International Atlas (1982) to clarify unit boundaries. All sources were re-registered to the basemap by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done using an unpublished algorithm developed by the US Geological Survey and ESRI to create coverage's for one-degree graticules. For details about each dataset, visit the individual entries. proprietary
NBId0006_101 African Meteorology (GIS Coverage of Precipitation and Winds) ALL STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848036-CEOS_EXTRA.umm_json New-ID: NBI06 Dataset covers mean annual rainfall distribution, number of wet days, wind speed and velocity. The Africa Meteorological Dataset documentation The Africa Meteorological dataset is part of the UNEP/FAO/ESRI Database project that covers the entire world but focused on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by Food and Agriculture Organization (FAO), the Soil Resources, Management and Conservation Service Land and Water Development Division, Italy. This dataset was developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The base maps used were hand drawn climate maps from FAO. All sources were re-registered to the FAO Soil Map of the world (1984) in Miller Oblated Stereographic projection by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/ longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverages for one-degree graticules. proprietary
-NBId0007_101 Africa Administrative Units (GIS Coverage of Administrative Boundaries) CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847851-CEOS_EXTRA.umm_json "New-ID: NBI07 This dataset shows adminstrative boundries of Africa at continental, national, second and third levels in lat/long. The Administrative units Dataset documentation Files: ADMINLL.E00 Code: 100012-002 Vector Member The files are in Arc/Info Export format and should be imported with the Arc/Info command Import cover In-Filename Out-Filename. The administrative units dataset is part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses here on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Soil Resources, Management and Conservation Service Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. The database was developed by the United Nations Environment Program (UNEP as part of a project initiated by UNEP. The base maps used were the FAO/UNESCO Soil Map of the World (1977) in Miller Oblated Stereographic projection, FAO Maps and Statistical Data by Administrative Unit (1983), and the Rand-McNally New International Atlas (1982). All sources were re-registered to the basemap by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverage""'""s for one-degree graticules. Contact: UNEP/GRID-Nairobi, P O Box 30552 Nairobi, Kenya FAO, Soil Resources, Management and Conservation Service 00100, Rome, Italy. ESRI, 380 New York Street, Redlands, CA 92373, USA The ADMINLL file shows adminstrative boundries at continental, national, second and third levels in lat/long References: ESRI. Final Report UNEP/FAO world and Africa GIS data base (1984). Internal Publication ESRI, FAO and UNEP FAO, UNESCO. Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris Defence Mapping Agency. Global Navigation and Planning Charts for Africa (various dates: 1976-1982). Scale 1:5000000. Washington DC. G.M.Grosvenor. National Geographic Atlas of the World (1975). Scale 1:8500000. National Geographic Society Washington DC. Source : FAO Soil Map of the World, scale 1:5000000 Publication Date : Dec 1984 Projection : Geographic Lat/Long Type : Polygon Format : Arc/Info Export non-compressed Related Datasets : All UNEP/FAO/ESRI Datasets TOWNS2 100022-002, Human settlements and airports ROADS2 100021-001, major roads" proprietary
+NBId0006_101 African Meteorology (GIS Coverage of Precipitation and Winds) CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848036-CEOS_EXTRA.umm_json New-ID: NBI06 Dataset covers mean annual rainfall distribution, number of wet days, wind speed and velocity. The Africa Meteorological Dataset documentation The Africa Meteorological dataset is part of the UNEP/FAO/ESRI Database project that covers the entire world but focused on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by Food and Agriculture Organization (FAO), the Soil Resources, Management and Conservation Service Land and Water Development Division, Italy. This dataset was developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The base maps used were hand drawn climate maps from FAO. All sources were re-registered to the FAO Soil Map of the world (1984) in Miller Oblated Stereographic projection by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/ longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverages for one-degree graticules. proprietary
NBId0007_101 Africa Administrative Units (GIS Coverage of Administrative Boundaries) ALL STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847851-CEOS_EXTRA.umm_json "New-ID: NBI07 This dataset shows adminstrative boundries of Africa at continental, national, second and third levels in lat/long. The Administrative units Dataset documentation Files: ADMINLL.E00 Code: 100012-002 Vector Member The files are in Arc/Info Export format and should be imported with the Arc/Info command Import cover In-Filename Out-Filename. The administrative units dataset is part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses here on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Soil Resources, Management and Conservation Service Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. The database was developed by the United Nations Environment Program (UNEP as part of a project initiated by UNEP. The base maps used were the FAO/UNESCO Soil Map of the World (1977) in Miller Oblated Stereographic projection, FAO Maps and Statistical Data by Administrative Unit (1983), and the Rand-McNally New International Atlas (1982). All sources were re-registered to the basemap by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverage""'""s for one-degree graticules. Contact: UNEP/GRID-Nairobi, P O Box 30552 Nairobi, Kenya FAO, Soil Resources, Management and Conservation Service 00100, Rome, Italy. ESRI, 380 New York Street, Redlands, CA 92373, USA The ADMINLL file shows adminstrative boundries at continental, national, second and third levels in lat/long References: ESRI. Final Report UNEP/FAO world and Africa GIS data base (1984). Internal Publication ESRI, FAO and UNEP FAO, UNESCO. Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris Defence Mapping Agency. Global Navigation and Planning Charts for Africa (various dates: 1976-1982). Scale 1:5000000. Washington DC. G.M.Grosvenor. National Geographic Atlas of the World (1975). Scale 1:8500000. National Geographic Society Washington DC. Source : FAO Soil Map of the World, scale 1:5000000 Publication Date : Dec 1984 Projection : Geographic Lat/Long Type : Polygon Format : Arc/Info Export non-compressed Related Datasets : All UNEP/FAO/ESRI Datasets TOWNS2 100022-002, Human settlements and airports ROADS2 100021-001, major roads" proprietary
+NBId0007_101 Africa Administrative Units (GIS Coverage of Administrative Boundaries) CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847851-CEOS_EXTRA.umm_json "New-ID: NBI07 This dataset shows adminstrative boundries of Africa at continental, national, second and third levels in lat/long. The Administrative units Dataset documentation Files: ADMINLL.E00 Code: 100012-002 Vector Member The files are in Arc/Info Export format and should be imported with the Arc/Info command Import cover In-Filename Out-Filename. The administrative units dataset is part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses here on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Soil Resources, Management and Conservation Service Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. The database was developed by the United Nations Environment Program (UNEP as part of a project initiated by UNEP. The base maps used were the FAO/UNESCO Soil Map of the World (1977) in Miller Oblated Stereographic projection, FAO Maps and Statistical Data by Administrative Unit (1983), and the Rand-McNally New International Atlas (1982). All sources were re-registered to the basemap by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverage""'""s for one-degree graticules. Contact: UNEP/GRID-Nairobi, P O Box 30552 Nairobi, Kenya FAO, Soil Resources, Management and Conservation Service 00100, Rome, Italy. ESRI, 380 New York Street, Redlands, CA 92373, USA The ADMINLL file shows adminstrative boundries at continental, national, second and third levels in lat/long References: ESRI. Final Report UNEP/FAO world and Africa GIS data base (1984). Internal Publication ESRI, FAO and UNEP FAO, UNESCO. Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris Defence Mapping Agency. Global Navigation and Planning Charts for Africa (various dates: 1976-1982). Scale 1:5000000. Washington DC. G.M.Grosvenor. National Geographic Atlas of the World (1975). Scale 1:8500000. National Geographic Society Washington DC. Source : FAO Soil Map of the World, scale 1:5000000 Publication Date : Dec 1984 Projection : Geographic Lat/Long Type : Polygon Format : Arc/Info Export non-compressed Related Datasets : All UNEP/FAO/ESRI Datasets TOWNS2 100022-002, Human settlements and airports ROADS2 100021-001, major roads" proprietary
NBId0012_101 Cattle and Buffalo distribution (Africa) CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848567-CEOS_EXTRA.umm_json The Cattle and Buffalo distribution dataset shows cattle and buffalo distribution for sub-Saharan, East and Central Africa. It is part of the East Coast Fever (ECF) dataset. The ECF study determined both areas at risk and potential migration of the disease by cattle and a potential pool of infection for transmitting the disease to domestic cattle by Buffalo. Buffalo is the main wildlife host of the ECF. The study was carried out in Nairobi in collaboration with United Nations Environment Program, Global Resource Information Database (UNEP/GRID) and the International Laboratory for Research on Animal Diseases (ILRAD), now called International Livestock Research Institute (ILRI). proprietary
NBId0016_101 Africa FAO Agro-Ecological Zones (GIS Coverage) ALL STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848041-CEOS_EXTRA.umm_json New-ID: NBI16 Agro-ecological zones datasets is made up of AEZBLL08, AEZBLL09, AEZBLL10. The Africa Agro-ecological Zones Dataset documentation Files: AEZBLL08.E00 Code: 100025-011 AEZBLL09.E00 100025-012 AEZBLL10.E00 100025-013 Vector Members The E00 files are in Arc/Info Export format and should be imported with the Arc/Info command Import cover In-Filename Out-Filename. The Africa agro-ecological zones dataset is part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by Food and Agriculture Organization (FAO), the Soil Resources, Management and Conservation Service Land and Water Development Division, Italy. The daset was developed by United Nations Environment Program (UNEP), Kenya. The base maps that were used were the UNESCO/FAO Soil Map of the world (1977) in Miller Oblated Stereographic projection, the Global Navigation and Planning Charts (various 1976-1982) and the National Geographic Atlas of the World (1975). basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverages for one-degree graticules. This edit step required appending the country boundaries from Administrative Unit map and then producing the computer plot. Contact: UNEP/GRID-Nairobi, P O Box 30552 Nairobi, Kenya FAO, Soil Resources, Management and Conservation Service, 00100, Rome, Italy ESRI, 380 New York Street, Redlands, CA 92373, USA The AEZBLL08 data covers North-West of African continent The AEZBLL09 data covers North-East of African continent The AEZBLL10 data covers South of African continent References: ESRI. Final Report UNEP/FAO world and Africa GIS data base (1984). Internal Publication by ESRI, FAO and UNEP FAO/UNESCO. Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris Defence Mapping Agency. Global Navigation and Planning Charts for Africa (various dates:1976-1982). Scale 1:5000000. Washington DC. G.M. Grosvenor. National Geographic Atlas of the World (1975). Scale 1:8500000. National Geographic Society, Washington DC. FAO. Statistical Data on Existing Animal Units by Agro-ecological Zones for Africa (1983). Prepared by Todor Boyadgiev of the Soil Resources, Management and Conservation Services Division. FAO. Statistical Data on Existing and Potential Populations by Agro-ecological Zones for Africa (1983). Prepared by Marina Zanetti of the Soil Resources, Management and Conservation Services Division. FAO. Report on the Agro-ecological Zones Project. Vol.I (1978), Methodology & Result for Africa. World Soil Resources No.48. Source : UNESCO/FAO Soil Map of the World, scale 1:5000000 Publication Date : Dec 1984 Projection : Miller Type : Polygon Format : Arc/Info Export non-compressed Related Datasets : All UNEP/FAO/ESRI Datasets, Landuse (100013/05, New-ID: 05 FAO Irrigable Soils Datasets and Water balance (100050/53) proprietary
NBId0016_101 Africa FAO Agro-Ecological Zones (GIS Coverage) CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848041-CEOS_EXTRA.umm_json New-ID: NBI16 Agro-ecological zones datasets is made up of AEZBLL08, AEZBLL09, AEZBLL10. The Africa Agro-ecological Zones Dataset documentation Files: AEZBLL08.E00 Code: 100025-011 AEZBLL09.E00 100025-012 AEZBLL10.E00 100025-013 Vector Members The E00 files are in Arc/Info Export format and should be imported with the Arc/Info command Import cover In-Filename Out-Filename. The Africa agro-ecological zones dataset is part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by Food and Agriculture Organization (FAO), the Soil Resources, Management and Conservation Service Land and Water Development Division, Italy. The daset was developed by United Nations Environment Program (UNEP), Kenya. The base maps that were used were the UNESCO/FAO Soil Map of the world (1977) in Miller Oblated Stereographic projection, the Global Navigation and Planning Charts (various 1976-1982) and the National Geographic Atlas of the World (1975). basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverages for one-degree graticules. This edit step required appending the country boundaries from Administrative Unit map and then producing the computer plot. Contact: UNEP/GRID-Nairobi, P O Box 30552 Nairobi, Kenya FAO, Soil Resources, Management and Conservation Service, 00100, Rome, Italy ESRI, 380 New York Street, Redlands, CA 92373, USA The AEZBLL08 data covers North-West of African continent The AEZBLL09 data covers North-East of African continent The AEZBLL10 data covers South of African continent References: ESRI. Final Report UNEP/FAO world and Africa GIS data base (1984). Internal Publication by ESRI, FAO and UNEP FAO/UNESCO. Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris Defence Mapping Agency. Global Navigation and Planning Charts for Africa (various dates:1976-1982). Scale 1:5000000. Washington DC. G.M. Grosvenor. National Geographic Atlas of the World (1975). Scale 1:8500000. National Geographic Society, Washington DC. FAO. Statistical Data on Existing Animal Units by Agro-ecological Zones for Africa (1983). Prepared by Todor Boyadgiev of the Soil Resources, Management and Conservation Services Division. FAO. Statistical Data on Existing and Potential Populations by Agro-ecological Zones for Africa (1983). Prepared by Marina Zanetti of the Soil Resources, Management and Conservation Services Division. FAO. Report on the Agro-ecological Zones Project. Vol.I (1978), Methodology & Result for Africa. World Soil Resources No.48. Source : UNESCO/FAO Soil Map of the World, scale 1:5000000 Publication Date : Dec 1984 Projection : Miller Type : Polygon Format : Arc/Info Export non-compressed Related Datasets : All UNEP/FAO/ESRI Datasets, Landuse (100013/05, New-ID: 05 FAO Irrigable Soils Datasets and Water balance (100050/53) proprietary
@@ -12023,20 +12025,20 @@ NBId0018_101 Africa FAO Major Infrastructure and Human Settlements (GIS Coverage
NBId0018_101 Africa FAO Major Infrastructure and Human Settlements (GIS Coverage) CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849221-CEOS_EXTRA.umm_json New-ID: NBI18 The Africa Major Infrastructure and Human Settlements Dataset Files: TOWNS2.E00 Code: 100022-002 ROADS2.E00 100021-002 Vector Members: The E00 files are in Arc/Info Export format and should be imported with the Arc/Info command Import cover In-Filename Out-Filename The Africa major infrastructure and human settlements dataset form part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses here on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Soil Resources, Management and Conservation Service, Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. This dataset was developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The base maps used were the UNESCO/FAO Soil Map of the world (1977) in Miller Oblated Stereographic projection, the DMA Global Navigation and Planning charts for Africa (various dates: 1976-1982) and the Rand-McNally, New International Atlas (1982). All sources were re-registered to the basemap by comparing known features on the basemap those of the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done using an unpublished algorithm of the US Geological Survey and ESRI to create coverages for one-degree graticules. The Population Centers were selected based upon their inclusion in the list of major cities and populated areas in the Rand McNally New International Atlas Contact: UNEP/GRID-Nairobi, P.O. Box 30552 Nairobi, Kenya FAO, Soil Resources, Management and Conservation Service, 00100, Rome, Italy ESRI, 380 New York Street, Redlands, CA. 92373, USA The ROADS2 file shows major roads of the African continent The TOWNS2 file shows human settlements and airports for the African continent References: ESRI. Final Report UNEP/FAO World and Africa GIS data base (1984). Internal Publication by ESRI, FAO and UNEP FAO. UNESCO Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris Defence Mapping Agency. Global Navigation and Planning charts for Africa (various dates: 1976-1982). Scale 1:5000000. Washington DC. Grosvenor. National Geographic Atlas of the World (1975). Scale 1:850000. National Geographic Society Washington DC. DMA. Topographic Maps of Africa (various dates). Scale 1:2000000 Washington DC. Rand-McNally. The new International Atlas (1982). Scale 1:6,000,000. Rand McNally & Co.Chicago Source: FAO Soil Map of the World. Scale 1:5000000 Publication Date: Dec 1984 Projection: Miller Type: Points Format: Arc/Info export non-compressed Related Datasets: All UNEP/FAO/ESRI Datasets ADMINLL (100012-002) administrative boundries AFURBAN (100082) urban percentage coverage Comments: There is no outline of Africa proprietary
NBId0019_101 FAO Major Elevation Zones of Africa (GIS Coverage) CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849111-CEOS_EXTRA.umm_json New-ID: NBI19 The Africa Major Elevation Zones Dataset documentation File: ELEVLL Code: 100070-003 Vector Member The above file is in Arc/Info Export format and should be imported using the Arc/Info command Import cover In-Filename Out-Filename The Africa elevation major zones dataset is part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses here on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Soil Resources, Management and Conservation Service Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. This dataset was developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The manuscript derived from the topographic film separates of the UNESCO/FAO Soil Map of the World (1977) in Miller Oblated Stereographic projection was used to provide a generalized coverage of elevation values providing information as both line-related and polygonal form. The map was prepared by overlaying the topography film separate with a matte drafting film and then delineating the selected elevation contours. Some of the line crenulation was removed during the delineation process, because this map was designed to define general elevation zones rather than constitute a true topographic base. Code values were recorded directly on the map and were key-entered during the digitizing process with a spatial resolution of 0.002 inches, as part of the polygon or line sequence indentification number. The map was then transformed from inch coordinates to latitude/longitude degrees. The transformation was done using an unpublished algorithm of the US Geological Survey and ESRI to create coverages for one-degree graticules. Contact: UNEP/GRID-Nairobi, P.O. Box 30552 Nairobi, Kenya FAO, Soil Resources, Management and Conservation Service, 00100, Rome, Italy. ESRI, 380 New York Street, Redlands, CA 92373, USA The ELEVLL2 data shows Major Elevation zones of Africa, in lat/lon References: ESRI. Final Report UNEP/FAO World and Africa GIS data base (1984). Internal Publication by ESRI, FAO and UNEP FAO. UNESCO/FAO Soil Map of the World(1977). Scale 1:5000000. UNESCO, Paris DMA. Topographic Maps of Africa (various dates). Scale 1:2000000 Washington DC. G.M. Grosvenor. National Geographic Atlas of the World (1975). Scale 1:8500000. National Geographic Society Washington DC. Source: FAO Soil Map of the World, scale 1:5000000 Publication Date: Dec 1984 Projection: Miller Type: Polygon and line Format: Arc/Info export non compressed Related Datasets: All UNEP/FAO/ESRI Datasets AFELBA elevation and Bathymetry (100048) proprietary
NBId0020_101 Countries, Coasts and Islands of Africa (Global Change Data Base - Digital Boundaries and Coastlines) CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848088-CEOS_EXTRA.umm_json New-ID: NBI20 Countries, Coasts and Islands Dataset documentation (Micro World Data Bank II) Files: COASTS.E00 Code: 100051-001 COUNTRY.E00 100052-001 ISLANDS.E00 100054-001 Vector Members Original files were in IDRISI VEC format coverted to Arc/Info. The E00 files are in Arc/Info Export format and should be imported with the Arc/Info command Import cover In-Filename Out-Filename. Micro World Data Bank II (MWDB-II) comprising Coastlines, Country boundries and Islands data sets is part of NOAA project that was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is part of the World Data Bank II and is provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact: NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The COASTS file shows African Coastlines The COUNTRY file shows African Country Boundaries without coast, no names - only lines The ISLANDS file shows African Islands References: NOAA. Global Change Data Base, Digital Data with Documentation (1992). National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, Colorado. Hastings, David A., and Liping Di. Modeling of global change phenomena with GIS using the Global Change Data Base (1992). Remote sensing of environment, in review. Clark, David M., Hastings, David A. and Kineman, John J. Global databases and their implications for GIS (1991). IN Maguire, David J., Goodchild, Michael F., and Rhind, David W., eds. Geographical Information Systems: Overview, Principles and Applications. Burnt Mill, Essex, United Kingdom, Longman. V.2, pp. 217-231. Kineman, J.J., Clark, D.M., and Croze, H. Data integration and modelling for global change: An international experiment (1990). Proceeding of the International Conference and workshop on Global Natural Resource Monitoring and Assessments. Preparing for the 21st Century (Venice, Italy, 24-30 September 1989). Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing, Vol. 2, pp. 660-669. CERL. The Geographic Resources Analysis Support System (GRASS-GIS) version 4.0 (1991). U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, Illinois. Source map: digitized from available sources Publication Date: Jun 1992 Projection: Lat/Lon Type: Polygon and line Format: Arc/Info Export non-compressed proprietary
-NBId0022_101 Africa Olson World Ecosystems ALL STAC Catalog 1970-01-01 16, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232846860-CEOS_EXTRA.umm_json "New-ID: NBI22 OLSON WORLD ECOSYSTEMS DATASET DOCUMENTATION File: AFWE20.IMG Code: 100032-001 Raster Member This IMG file is in IDRISI format Olson World Ecosystems data base is part of Global Change Data Base produced by The World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysycal Data Center (NGDC) and for cooperative project called Global Ecosystems Database Project between NDAA(National Oceanic & Atmospheric Administration, USA)/NGDC and the U.S. Environmental Protection Agency. The software (known as IDRISI) was developed and adopted for this project at Clark University. The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California, has joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/Latitude) projection. Each data set is accompanied by an ASCII documentation file. Which contains information necessary for use of the data set in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFWE20 file shows Olson ecosystem classes version 1.4 References: Olson, J.S. Earth""'""s Vegetation and Atmospheric Carbon Dioxide, in Carbon Dioxide Review: 1982. Ed. by W.C. Clark (1983), Exford Univ. Press, New York, pp.388-398. Olson, J.S., J.A. Watts, and L.J. Allison. Carbon in Live Vegetation of Major World Ecosystems (1983). Report ORNL-5862, Oark Ridge Laboratory, Oak Ridge, Tennessee. Olson, J.S. and J.A. Watts. Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation (1982). Oak Ridge National Laboratory, Oak Ridge, Tennesse (map). Source map : from available maps and observations. Publication Date : 1989 Projection : lat/lon. Type : Raster Format : IDRISI" proprietary
NBId0022_101 Africa Olson World Ecosystems CEOS_EXTRA STAC Catalog 1970-01-01 16, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232846860-CEOS_EXTRA.umm_json "New-ID: NBI22 OLSON WORLD ECOSYSTEMS DATASET DOCUMENTATION File: AFWE20.IMG Code: 100032-001 Raster Member This IMG file is in IDRISI format Olson World Ecosystems data base is part of Global Change Data Base produced by The World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysycal Data Center (NGDC) and for cooperative project called Global Ecosystems Database Project between NDAA(National Oceanic & Atmospheric Administration, USA)/NGDC and the U.S. Environmental Protection Agency. The software (known as IDRISI) was developed and adopted for this project at Clark University. The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California, has joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/Latitude) projection. Each data set is accompanied by an ASCII documentation file. Which contains information necessary for use of the data set in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFWE20 file shows Olson ecosystem classes version 1.4 References: Olson, J.S. Earth""'""s Vegetation and Atmospheric Carbon Dioxide, in Carbon Dioxide Review: 1982. Ed. by W.C. Clark (1983), Exford Univ. Press, New York, pp.388-398. Olson, J.S., J.A. Watts, and L.J. Allison. Carbon in Live Vegetation of Major World Ecosystems (1983). Report ORNL-5862, Oark Ridge Laboratory, Oak Ridge, Tennessee. Olson, J.S. and J.A. Watts. Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation (1982). Oak Ridge National Laboratory, Oak Ridge, Tennesse (map). Source map : from available maps and observations. Publication Date : 1989 Projection : lat/lon. Type : Raster Format : IDRISI" proprietary
+NBId0022_101 Africa Olson World Ecosystems ALL STAC Catalog 1970-01-01 16, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232846860-CEOS_EXTRA.umm_json "New-ID: NBI22 OLSON WORLD ECOSYSTEMS DATASET DOCUMENTATION File: AFWE20.IMG Code: 100032-001 Raster Member This IMG file is in IDRISI format Olson World Ecosystems data base is part of Global Change Data Base produced by The World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysycal Data Center (NGDC) and for cooperative project called Global Ecosystems Database Project between NDAA(National Oceanic & Atmospheric Administration, USA)/NGDC and the U.S. Environmental Protection Agency. The software (known as IDRISI) was developed and adopted for this project at Clark University. The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California, has joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/Latitude) projection. Each data set is accompanied by an ASCII documentation file. Which contains information necessary for use of the data set in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFWE20 file shows Olson ecosystem classes version 1.4 References: Olson, J.S. Earth""'""s Vegetation and Atmospheric Carbon Dioxide, in Carbon Dioxide Review: 1982. Ed. by W.C. Clark (1983), Exford Univ. Press, New York, pp.388-398. Olson, J.S., J.A. Watts, and L.J. Allison. Carbon in Live Vegetation of Major World Ecosystems (1983). Report ORNL-5862, Oark Ridge Laboratory, Oak Ridge, Tennessee. Olson, J.S. and J.A. Watts. Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation (1982). Oak Ridge National Laboratory, Oak Ridge, Tennesse (map). Source map : from available maps and observations. Publication Date : 1989 Projection : lat/lon. Type : Raster Format : IDRISI" proprietary
NBId0023_101 Africa Holdridge Life Zone Classification (Vegetation and Climate) CEOS_EXTRA STAC Catalog 1970-01-01 16, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847334-CEOS_EXTRA.umm_json New-ID: NBI23 Holdridge Life Zone is a coverage showing zone classification, vegetation relation to climate and vice versa. proprietary
NBId0023_101 Africa Holdridge Life Zone Classification (Vegetation and Climate) ALL STAC Catalog 1970-01-01 16, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847334-CEOS_EXTRA.umm_json New-ID: NBI23 Holdridge Life Zone is a coverage showing zone classification, vegetation relation to climate and vice versa. proprietary
NBId0024_101 Africa Soil Classification by Wilson and Henderson-Sellers ALL STAC Catalog 1970-01-01 12.88, 6.67, 24.97, 24.19 https://cmr.earthdata.nasa.gov/search/concepts/C2232848824-CEOS_EXTRA.umm_json New-ID: NBI24 Wilson and Henderson-Sellers soil classes and soil class reliability. The Wilson and Henderson-Sellers Soil Classes Dataset Files: AFWSOILS.IMG Code: 100043-001 AFWSOILR.IMG 100043-002 Raster Members The IMG files are in IDRISI format. The Wilson and Henderson-Sellers soils data set is part of Wilson Henderson-Sellers land cover and soils for global circulation modeling project was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is part of the World Data Bank II. This data Bank is provided on a Database on diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : Roy Jenne, NCAR, P.O. Box 3000, Boulder, CO 80307-3000 The AFWSOILS file shows Wilson/Henderson-Sellers Soil Classes The ASWSOILR file shows Wilson/Henderson-Sellers Soil Class Reliability References: Wilson, M.F/ and A. Henderson-Sellers. A global archive of land cover and soils data for use in general ciruclation climate models. Journal of Climatology, vol.5, pp.119-143. Source : Digitized from available sources: FAO/UNESCO Soil Map of the World. Oxford Regional Economic Atlas of USSR and Eastern Europe Publication Date : 1985 Projection : Lat/Lon Type : Raster Format : IDRISI proprietary
NBId0024_101 Africa Soil Classification by Wilson and Henderson-Sellers CEOS_EXTRA STAC Catalog 1970-01-01 12.88, 6.67, 24.97, 24.19 https://cmr.earthdata.nasa.gov/search/concepts/C2232848824-CEOS_EXTRA.umm_json New-ID: NBI24 Wilson and Henderson-Sellers soil classes and soil class reliability. The Wilson and Henderson-Sellers Soil Classes Dataset Files: AFWSOILS.IMG Code: 100043-001 AFWSOILR.IMG 100043-002 Raster Members The IMG files are in IDRISI format. The Wilson and Henderson-Sellers soils data set is part of Wilson Henderson-Sellers land cover and soils for global circulation modeling project was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is part of the World Data Bank II. This data Bank is provided on a Database on diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : Roy Jenne, NCAR, P.O. Box 3000, Boulder, CO 80307-3000 The AFWSOILS file shows Wilson/Henderson-Sellers Soil Classes The ASWSOILR file shows Wilson/Henderson-Sellers Soil Class Reliability References: Wilson, M.F/ and A. Henderson-Sellers. A global archive of land cover and soils data for use in general ciruclation climate models. Journal of Climatology, vol.5, pp.119-143. Source : Digitized from available sources: FAO/UNESCO Soil Map of the World. Oxford Regional Economic Atlas of USSR and Eastern Europe Publication Date : 1985 Projection : Lat/Lon Type : Raster Format : IDRISI proprietary
NBId0025_101 Africa Soil Classification by Zobler CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848306-CEOS_EXTRA.umm_json New-ID: NBI25 Africa ZOBLER Soil Type, Soil Texture, Surface Slope Classes Dataset Documentation Files: AFZSOILS.IMG Code: 100090-001 AFZTEX.IMG 100090-002 AFZSUBSD.IMG 100090-003 AFZSP3.IMG 100090-004 AFZPHS.IMG 100090-005 AFZSLOPE.IMG 100092-001 Raster Members The IMG files are in IDRISI format The Zobler soil type, soil texture and surface slope dataset was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is part of the World Data Bank II provided on a diskette called The Global Change Data Base. The Data Bank II is part of a larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFZSOILS file shows Zobler soil types The AFZTEX file shows Zobler soil texture The AFZSUBSD file shows subsidiary soil units The AFZSP3 file shows Zobler special codes The AFZPHS file shows Zobler phase codes The AFZSLOPE file shows Zobler surface slope References: FAO. FAO-UNESCO Soil Map of the World (1974). Scale 1:5000000. UNESCO, Paris. Staub, Brad and Cynthia Rosenzweig. Global Digital Data Sets of Soil Type, Soil Texture, Surface Slope, and other properties: Documentation of Archived Tape Data. NASA Technical Memorandum No.100685. Henderson-Sellers, A., M.F. Wilson, G. Thomas, R.E. Dickinson. Current Global Land Surface Data Sets for Use in Climate-Related Studies. (1986). Matthews, E. Global vegetation and land use: New high resolution data bases for climate studies (1983). J. Clim. Appl. Meteor., vol.22, pp.474-487. -----. Vegetation, Land-use and Seasonal Albedo Data Sets: Documentation of Archived Data Tape (1984). NASA Technical Memorandum. No.86107. Wilson. M.F. and A. Henderson-Sellers. A global archive of land cover and soils data for use in general circulation climate models (1985). Journal of Climatology, vol.5, pp.119-143. Source map : various Publication Date : 1987 Projection : Lat/lon Type : Raster Format : IDRISI proprietary
NBId0025_101 Africa Soil Classification by Zobler ALL STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848306-CEOS_EXTRA.umm_json New-ID: NBI25 Africa ZOBLER Soil Type, Soil Texture, Surface Slope Classes Dataset Documentation Files: AFZSOILS.IMG Code: 100090-001 AFZTEX.IMG 100090-002 AFZSUBSD.IMG 100090-003 AFZSP3.IMG 100090-004 AFZPHS.IMG 100090-005 AFZSLOPE.IMG 100092-001 Raster Members The IMG files are in IDRISI format The Zobler soil type, soil texture and surface slope dataset was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is part of the World Data Bank II provided on a diskette called The Global Change Data Base. The Data Bank II is part of a larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFZSOILS file shows Zobler soil types The AFZTEX file shows Zobler soil texture The AFZSUBSD file shows subsidiary soil units The AFZSP3 file shows Zobler special codes The AFZPHS file shows Zobler phase codes The AFZSLOPE file shows Zobler surface slope References: FAO. FAO-UNESCO Soil Map of the World (1974). Scale 1:5000000. UNESCO, Paris. Staub, Brad and Cynthia Rosenzweig. Global Digital Data Sets of Soil Type, Soil Texture, Surface Slope, and other properties: Documentation of Archived Tape Data. NASA Technical Memorandum No.100685. Henderson-Sellers, A., M.F. Wilson, G. Thomas, R.E. Dickinson. Current Global Land Surface Data Sets for Use in Climate-Related Studies. (1986). Matthews, E. Global vegetation and land use: New high resolution data bases for climate studies (1983). J. Clim. Appl. Meteor., vol.22, pp.474-487. -----. Vegetation, Land-use and Seasonal Albedo Data Sets: Documentation of Archived Data Tape (1984). NASA Technical Memorandum. No.86107. Wilson. M.F. and A. Henderson-Sellers. A global archive of land cover and soils data for use in general circulation climate models (1985). Journal of Climatology, vol.5, pp.119-143. Source map : various Publication Date : 1987 Projection : Lat/lon Type : Raster Format : IDRISI proprietary
-NBId0036_101 Africa Lakes and Rivers (World Data Bank II) CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849206-CEOS_EXTRA.umm_json New-ID: NBI36 Africa Lakes and Rivers. Lakes and Rivers Dataset documentation (Micro World Data Bank II) Files: LAKES.VEC Code: 100055-001 RIVERS.VEC 100061-001 AFRIVER.IMG 100002-001 Raster Members The VEC and IMG files are in IDRISI format Africa lakes and rivers datasets are part of the NOAA project that was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is part of the World Data Bank II provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage was chosen to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The LAKES file shows African lakes The RIVERS file shows African rivers The AFRIVER file shows African rivers References: NOAA. Global Change Data Base, Digital Data with Documentation (1992). National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, Colorado. Hastings, David A., and Liping Di. Modeling of global change phenomena with GIS using the Global Change Data Base (1992). Remote sensing of environment, in review. Clark, David M., Hastings, David A. and Kineman, John J. Global databases and their implications for GIS (1991). IN Maguire, David J., Goodchild, Michael F., and Rhind, David W., eds. Geographical Information Systems: Overview, Principles and Applications. Burnt Mill, Essex, United Kingdom, Longman. vol. 2, pp. 217-231. Kineman, J.J., Clark, D.M., and Croze, H. Data integration and modelling for global change: An international experiment (1990). Proceeding of the International Conference and workshop on Global Natural Resource Monitoring and Assessments. Preparing for the 21st Century (Venice, Italy, 24-30 September 1989). Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing, vol. 2, pp. 660-669. CERL. The Geographic Resources Analysis Support System (GRASS-GIS) version 4.0 (1991). U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, Illinois. Source map : digitized from available sources Publication Date : 1988 Projection : Lat/lon Type : Raster Format : IDRISI proprietary
NBId0036_101 Africa Lakes and Rivers (World Data Bank II) ALL STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849206-CEOS_EXTRA.umm_json New-ID: NBI36 Africa Lakes and Rivers. Lakes and Rivers Dataset documentation (Micro World Data Bank II) Files: LAKES.VEC Code: 100055-001 RIVERS.VEC 100061-001 AFRIVER.IMG 100002-001 Raster Members The VEC and IMG files are in IDRISI format Africa lakes and rivers datasets are part of the NOAA project that was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is part of the World Data Bank II provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage was chosen to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The LAKES file shows African lakes The RIVERS file shows African rivers The AFRIVER file shows African rivers References: NOAA. Global Change Data Base, Digital Data with Documentation (1992). National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, Colorado. Hastings, David A., and Liping Di. Modeling of global change phenomena with GIS using the Global Change Data Base (1992). Remote sensing of environment, in review. Clark, David M., Hastings, David A. and Kineman, John J. Global databases and their implications for GIS (1991). IN Maguire, David J., Goodchild, Michael F., and Rhind, David W., eds. Geographical Information Systems: Overview, Principles and Applications. Burnt Mill, Essex, United Kingdom, Longman. vol. 2, pp. 217-231. Kineman, J.J., Clark, D.M., and Croze, H. Data integration and modelling for global change: An international experiment (1990). Proceeding of the International Conference and workshop on Global Natural Resource Monitoring and Assessments. Preparing for the 21st Century (Venice, Italy, 24-30 September 1989). Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing, vol. 2, pp. 660-669. CERL. The Geographic Resources Analysis Support System (GRASS-GIS) version 4.0 (1991). U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, Illinois. Source map : digitized from available sources Publication Date : 1988 Projection : Lat/lon Type : Raster Format : IDRISI proprietary
+NBId0036_101 Africa Lakes and Rivers (World Data Bank II) CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849206-CEOS_EXTRA.umm_json New-ID: NBI36 Africa Lakes and Rivers. Lakes and Rivers Dataset documentation (Micro World Data Bank II) Files: LAKES.VEC Code: 100055-001 RIVERS.VEC 100061-001 AFRIVER.IMG 100002-001 Raster Members The VEC and IMG files are in IDRISI format Africa lakes and rivers datasets are part of the NOAA project that was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is part of the World Data Bank II provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage was chosen to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The LAKES file shows African lakes The RIVERS file shows African rivers The AFRIVER file shows African rivers References: NOAA. Global Change Data Base, Digital Data with Documentation (1992). National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, Colorado. Hastings, David A., and Liping Di. Modeling of global change phenomena with GIS using the Global Change Data Base (1992). Remote sensing of environment, in review. Clark, David M., Hastings, David A. and Kineman, John J. Global databases and their implications for GIS (1991). IN Maguire, David J., Goodchild, Michael F., and Rhind, David W., eds. Geographical Information Systems: Overview, Principles and Applications. Burnt Mill, Essex, United Kingdom, Longman. vol. 2, pp. 217-231. Kineman, J.J., Clark, D.M., and Croze, H. Data integration and modelling for global change: An international experiment (1990). Proceeding of the International Conference and workshop on Global Natural Resource Monitoring and Assessments. Preparing for the 21st Century (Venice, Italy, 24-30 September 1989). Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing, vol. 2, pp. 660-669. CERL. The Geographic Resources Analysis Support System (GRASS-GIS) version 4.0 (1991). U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, Illinois. Source map : digitized from available sources Publication Date : 1988 Projection : Lat/lon Type : Raster Format : IDRISI proprietary
NBId0041_101 FNOC Elevation (meters), Terrain and Surface Characteristics for Africa CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847281-CEOS_EXTRA.umm_json New-ID: NBI41 Africa FNOC Elevation (meters), Terrain and Surface characteristics. Africa Elevation (meters), Terrain, and Surface Characteristics Dataset Documentation Files: AFMAX.IMG Code: 100082-001 AFMIN.IMG 100082-002 AFMOD.IMG 100082-003 Raster Members The IMG files are in IDRISI format Africa elevation dataset is part of the revised FNOC elevation, terrain and surface characteritics. It formed part of the NOAA project that was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is part of the World Data Bank II provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage was chosen to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFMAX file shows maximum elevation (meters) The AFMIN file shows minimum elevation (meters) The AFMOD shows modal elevation (meters) Reference: Cuming, Michael J. and Barbara A. Hawkins. TERDAT: The FNOC System for Terrain Data Extraction and Processing (1981). Techn. Report MII Project M-254 (2nd Ed.) Prepared for Fleet Numerical Oceanography Center (Monterey, CA). Published by Meteorology International Incorporated. Source map : Digitized from available maps and reprocessed: US Defense Operational Navigation Charts (ONC), scale 1:1000000; some World Aeronautical Charts and charts from Jet Navigation. Publication Date : 1985 Projection : Lat/Lon Type : Raster Format : IDRISI proprietary
NBId0042_101 NOAA Monthly 10-Minute Normalized Vegetation Index (April 1985-December 1988) for Africa CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848152-CEOS_EXTRA.umm_json "New-ID: NBI42 NOAA monthly Normalized Vegetation Index (NDVI) for Africa. NOAA Monthly 10-Min Normalized Vegetation Index Dataset (APRIL 1985 - DECEMBER 1988) Files: AFAPR85.IMG-AFDEC85.IMG Code: 100041-001 AFJAN86.IMG-AFDEC86.IMG 100041-001 AFJAN87.IMG-AFDEC87.IMG 100041-001 AFJAN88.IMG-AFDEC88.IMG 100041-001 Raster Members The IMG files are in IDRISI format Africa monthly 10-min normalized difference vegetation index dataset is part of the NOAA project that was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysycal Data Center (NGDC). The dataset is part of the World Data Bank II provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA AFAPR85-AFDEC88 (45 months) show monthly Normalized Vegetation Index (NDVI) References: Kidwell, Katherin B. (ed.). Global Vegetion Index User""'""s Guide (1990). NOAA/NHESDIS/SDSD. for additional references see Appendix A-26-A32 of the Global Change Data Base documentation Source map : digitized from available maps and reprocessed Publication Date : Jun 1992 Projection : Lat/lon Type : Raster Format : IDRISI" proprietary
-NBId0043_101 Africa Integrated Elevation and Bathymetry ALL STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847599-CEOS_EXTRA.umm_json "New-ID: NBI43 Africa Integrated Elevation and Bathymetry (feet). Integrated Elevation and Bathymetry Dataset Documentation File: AFELBA.IMG Code: 100048-001 Raster Member This IMG file is in IDRISI format Integrated elevation and bathymetry data set is part of UNEP-GRID/FAO Africa data base incorporated into World Data Bank II by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. Sources used were the USSCS World Soil Map, UNESCO/FAO Soil Map of the World, DMA Topographic Maps of Africa, Raize Landform Map of North Africa, and Landsat mosaics. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage was chosen to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFELBA file shows integrated elevation and bathymetry (feet) References: Edwards, Margaret Helen. Digital Image Processing of Local and Global Bathymetric Data (1986). Master""'""s Thesis. Washington University, Dept. of Earch and Planetary Sciences, St. Louis, Missouri, p.106. Haxby, W.F., et al. Digital Images of Combined Oceanic and Continental Data Sets and Their Use in Tectonic Studies (1983). EOS Transaction of the American Geophysical Union, vol.64, no.52, pp.995-1004. NOAA. Global Change Data Base, Digital Data with Documentation (1992). National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, Colorado. Hastings, David A., and Liping Di. Modeling of global change phenomena with GIS using the Global Change Data Base (1992). Remote sensing of environment, in review. Clark, David M., Hastings, David A. and Kineman, John J. Global databases and their implications for GIS (1991). IN Maguire, David J., Goodchild, Michael F., and Rhind, David W., eds., Geographical Information Systems: Overview, Principles and Applications. Burnt Mill, Essex, United Kingdom, Longman. V.2, pp. 217-231. Kineman, J.J., Clark, D.M., and Croze, H. Data integration and modelling for global change: An international experiment (1990). Proceeding of the International Conference and workshop on Global Natural Resource Monitoring and Assessments. Preparing for the 21st Century (Venice, Italy, 24-30 September 1989). Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing, vol. 2, pp. 660-669. CERL. The Geographic Resources Analysis Support System (GRASS-GIS) version 4.0 (1991). U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, Illinois. Source map : various sources Publication Date : Jun1992 Projection : Miller Oblated Stereographic resampled to lat/lon. Type : Raster Format : IDRISI" proprietary
NBId0043_101 Africa Integrated Elevation and Bathymetry CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847599-CEOS_EXTRA.umm_json "New-ID: NBI43 Africa Integrated Elevation and Bathymetry (feet). Integrated Elevation and Bathymetry Dataset Documentation File: AFELBA.IMG Code: 100048-001 Raster Member This IMG file is in IDRISI format Integrated elevation and bathymetry data set is part of UNEP-GRID/FAO Africa data base incorporated into World Data Bank II by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. Sources used were the USSCS World Soil Map, UNESCO/FAO Soil Map of the World, DMA Topographic Maps of Africa, Raize Landform Map of North Africa, and Landsat mosaics. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage was chosen to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFELBA file shows integrated elevation and bathymetry (feet) References: Edwards, Margaret Helen. Digital Image Processing of Local and Global Bathymetric Data (1986). Master""'""s Thesis. Washington University, Dept. of Earch and Planetary Sciences, St. Louis, Missouri, p.106. Haxby, W.F., et al. Digital Images of Combined Oceanic and Continental Data Sets and Their Use in Tectonic Studies (1983). EOS Transaction of the American Geophysical Union, vol.64, no.52, pp.995-1004. NOAA. Global Change Data Base, Digital Data with Documentation (1992). National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, Colorado. Hastings, David A., and Liping Di. Modeling of global change phenomena with GIS using the Global Change Data Base (1992). Remote sensing of environment, in review. Clark, David M., Hastings, David A. and Kineman, John J. Global databases and their implications for GIS (1991). IN Maguire, David J., Goodchild, Michael F., and Rhind, David W., eds., Geographical Information Systems: Overview, Principles and Applications. Burnt Mill, Essex, United Kingdom, Longman. V.2, pp. 217-231. Kineman, J.J., Clark, D.M., and Croze, H. Data integration and modelling for global change: An international experiment (1990). Proceeding of the International Conference and workshop on Global Natural Resource Monitoring and Assessments. Preparing for the 21st Century (Venice, Italy, 24-30 September 1989). Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing, vol. 2, pp. 660-669. CERL. The Geographic Resources Analysis Support System (GRASS-GIS) version 4.0 (1991). U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, Illinois. Source map : various sources Publication Date : Jun1992 Projection : Miller Oblated Stereographic resampled to lat/lon. Type : Raster Format : IDRISI" proprietary
+NBId0043_101 Africa Integrated Elevation and Bathymetry ALL STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847599-CEOS_EXTRA.umm_json "New-ID: NBI43 Africa Integrated Elevation and Bathymetry (feet). Integrated Elevation and Bathymetry Dataset Documentation File: AFELBA.IMG Code: 100048-001 Raster Member This IMG file is in IDRISI format Integrated elevation and bathymetry data set is part of UNEP-GRID/FAO Africa data base incorporated into World Data Bank II by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. Sources used were the USSCS World Soil Map, UNESCO/FAO Soil Map of the World, DMA Topographic Maps of Africa, Raize Landform Map of North Africa, and Landsat mosaics. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage was chosen to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFELBA file shows integrated elevation and bathymetry (feet) References: Edwards, Margaret Helen. Digital Image Processing of Local and Global Bathymetric Data (1986). Master""'""s Thesis. Washington University, Dept. of Earch and Planetary Sciences, St. Louis, Missouri, p.106. Haxby, W.F., et al. Digital Images of Combined Oceanic and Continental Data Sets and Their Use in Tectonic Studies (1983). EOS Transaction of the American Geophysical Union, vol.64, no.52, pp.995-1004. NOAA. Global Change Data Base, Digital Data with Documentation (1992). National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, Colorado. Hastings, David A., and Liping Di. Modeling of global change phenomena with GIS using the Global Change Data Base (1992). Remote sensing of environment, in review. Clark, David M., Hastings, David A. and Kineman, John J. Global databases and their implications for GIS (1991). IN Maguire, David J., Goodchild, Michael F., and Rhind, David W., eds., Geographical Information Systems: Overview, Principles and Applications. Burnt Mill, Essex, United Kingdom, Longman. V.2, pp. 217-231. Kineman, J.J., Clark, D.M., and Croze, H. Data integration and modelling for global change: An international experiment (1990). Proceeding of the International Conference and workshop on Global Natural Resource Monitoring and Assessments. Preparing for the 21st Century (Venice, Italy, 24-30 September 1989). Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing, vol. 2, pp. 660-669. CERL. The Geographic Resources Analysis Support System (GRASS-GIS) version 4.0 (1991). U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, Illinois. Source map : various sources Publication Date : Jun1992 Projection : Miller Oblated Stereographic resampled to lat/lon. Type : Raster Format : IDRISI" proprietary
NBId0044_101 Africa Ocean Mask CEOS_EXTRA STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849137-CEOS_EXTRA.umm_json "New-ID: NBI44 Ocean mask for Africa. Integrated Elevation and Bathymetry Dataset Documentation File: AFELBA.IMG Code: 100048-001 Raster Member This IMG file is in IDRISI format Integrated elevation and bathymetry data set is part of UNEP-GRID/FAO Africa data base incorporated into World Data Bank II by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. Sources used were the USSCS World Soil Map, UNESCO/FAO Soil Map of the World, DMA Topographic Maps of Africa, Raize Landform Map of North Africa, and Landsat mosaics. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage was chosen to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFELBA file shows integrated elevation and bathymetry (feet) References: Edwards, Margaret Helen. Digital Image Processing of Local and Global Bathymetric Data (1986). Master""'""s Thesis. Washington University, Dept. of Earch and Planetary Sciences, St. Louis, Missouri, p.106. Haxby, W.F., et al. Digital Images of Combined Oceanic and Continental Data Sets and Their Use in Tectonic Studies (1983). EOS Transaction of the American Geophysical Union, vol.64, no.52, pp.995-1004. NOAA. Global Change Data Base, Digital Data with Documentation (1992). National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, Colorado. Hastings, David A., and Liping Di. Modeling of global change phenomena with GIS using the Global Change Data Base (1992). Remote sensing of environment, in review. Clark, David M., Hastings, David A. and Kineman, John J. Global databases and their implications for GIS (1991). IN Maguire, David J., Goodchild, Michael F., and Rhind, David W., eds., Geographical Information Systems: Overview, Principles and Applications. Burnt Mill, Essex, United Kingdom, Longman. V.2, pp. 217-231. Kineman, J.J., Clark, D.M., and Croze, H. Data integration and modelling for global change: An international experiment (1990). Proceeding of the International Conference and workshop on Global Natural Resource Monitoring and Assessments. Preparing for the 21st Century (Venice, Italy, 24-30 September 1989). Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing, vol. 2, pp. 660-669. CERL. The Geographic Resources Analysis Support System (GRASS-GIS) version 4.0 (1991). U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, Illinois. Source map : various sources Publication Date : Jun1985 Projection : Miller Oblated Stereographic resampled to lat/lon. Type : Raster Format : IDRISI" proprietary
NBId0044_101 Africa Ocean Mask ALL STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849137-CEOS_EXTRA.umm_json "New-ID: NBI44 Ocean mask for Africa. Integrated Elevation and Bathymetry Dataset Documentation File: AFELBA.IMG Code: 100048-001 Raster Member This IMG file is in IDRISI format Integrated elevation and bathymetry data set is part of UNEP-GRID/FAO Africa data base incorporated into World Data Bank II by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. Sources used were the USSCS World Soil Map, UNESCO/FAO Soil Map of the World, DMA Topographic Maps of Africa, Raize Landform Map of North Africa, and Landsat mosaics. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage was chosen to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFELBA file shows integrated elevation and bathymetry (feet) References: Edwards, Margaret Helen. Digital Image Processing of Local and Global Bathymetric Data (1986). Master""'""s Thesis. Washington University, Dept. of Earch and Planetary Sciences, St. Louis, Missouri, p.106. Haxby, W.F., et al. Digital Images of Combined Oceanic and Continental Data Sets and Their Use in Tectonic Studies (1983). EOS Transaction of the American Geophysical Union, vol.64, no.52, pp.995-1004. NOAA. Global Change Data Base, Digital Data with Documentation (1992). National Oceanic and Atmospheric Administration, National Geophysical Data Center, Boulder, Colorado. Hastings, David A., and Liping Di. Modeling of global change phenomena with GIS using the Global Change Data Base (1992). Remote sensing of environment, in review. Clark, David M., Hastings, David A. and Kineman, John J. Global databases and their implications for GIS (1991). IN Maguire, David J., Goodchild, Michael F., and Rhind, David W., eds., Geographical Information Systems: Overview, Principles and Applications. Burnt Mill, Essex, United Kingdom, Longman. V.2, pp. 217-231. Kineman, J.J., Clark, D.M., and Croze, H. Data integration and modelling for global change: An international experiment (1990). Proceeding of the International Conference and workshop on Global Natural Resource Monitoring and Assessments. Preparing for the 21st Century (Venice, Italy, 24-30 September 1989). Bethesda, Maryland, American Society of Photogrammetry and Remote Sensing, vol. 2, pp. 660-669. CERL. The Geographic Resources Analysis Support System (GRASS-GIS) version 4.0 (1991). U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, Illinois. Source map : various sources Publication Date : Jun1985 Projection : Miller Oblated Stereographic resampled to lat/lon. Type : Raster Format : IDRISI" proprietary
NBId0053_101 Africa Revised FNOC Percent Water Cover ALL STAC Catalog 1970-01-01 -30, -45, 60, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847596-CEOS_EXTRA.umm_json New-ID: NBI53 Africa Revised FNOC Percent Water Cover Dataset Documentation File: AFWATER.IMG Code: 100082-005 Raster Member The IMG file is in IDRISI format The percent water cover dataset is part of the revised FNOC elevation, terrain and surface characteritics. It formed part of the NOAA project that was developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The dataset is part of the World Data Bank II provided on a diskette called The Global Change Data Base. The Data Bank II is part of larger project called Global Ecosystems Database Project. This is a cooperation between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A scale was chosen that corresponds closely with the resolution of global AVHRR coverage was chosen to provide compatibility with other scales. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. Contact : NGDC, 325 Broadway E/GC, Boulder, Colorado 80303, USA The AFWATER file shows the revised FNOC percent water cover for Africa. Reference: Cuming, Michael J. and Barbara A. Hwakins. TERDAT: The FNOC System for Terrain Data Extraction and Processing (1981). Techn. Report MII Project M-254 (2nd Ed.) Prepared for Fleet Numerical Oceanography Center (Monterey, CA). Published by Meteorology International Incorporated. Source map : Digitized from available maps and reprocessed: US Defense Operational Navigation Charts (ONC), scale 1:1000000; some World Aeronautical Charts and charts from Jet Navigation. Publication Date : 1985 Projection : Lon/lat Type : Raster Format : IDRISI proprietary
@@ -12058,43 +12060,43 @@ NBId0153_101 Benito River dataset of Equatorial Guinea CEOS_EXTRA STAC Catalog 1
NBId0161_101 Climate Dataset of Senegal CEOS_EXTRA STAC Catalog 1970-01-01 -17.53, 12.02, -10.89, 17.14 https://cmr.earthdata.nasa.gov/search/concepts/C2232849116-CEOS_EXTRA.umm_json New-ID: NBI161 The Climate Dataset of Senegal documentation Files: SENEGAL4.IMG Code: 146005-001 SENEGAL5.IMG 146006-001 SENEGAL6.IMG 146007-001 Raster Members IMG files are in IDRISI format The Senegal Climate Dataset was originally digitized for the UNEP/FAO/ESRI Database for Africa from hand-drawn maps provided by FAO for the Desertification Hazard Mapping project. GRID-Geneva rasterized the coverages for UNEP/GRID/WHO/CISFAM Senegal Database with a cell size of 30 seconds and two minutes lat/lon (approximately one- and four kilometeter-square pixels, respectively). Contact: UNEP/GRID-Nairobi, P.O. Box 30552 Nairobi, Kenya FAO, Soil Resources, Management and Conservation Service, 00100, Rome, Italy The SENEGAL4 file shows mean annual wind velocity meters per second (8 classes). The SENEGAL5 file shows number of wet days per year (6 classes). The SENEGAL6 file shows mean annual rainfall in millimeters (10 classes). REMARK: file may have limited applicability at national scale as was extracted from continental. References: ESRI. Final Report UNEP/FAO World and Africa GIS data base (1984). Internal Publication by ESRI, FAO and UNEP. CISFAM. Consolidated Information System for Famine Management in Africa, Phase I Report (Apr. 1987), Univ. of Louvain, Brussels, Belgium. Source and scale : unknown Report Publication Date : Dec 1988 Projection : lat/lon Type : Raster Format : IDRISI Related Datasets : All UNEP/FAO/ESRI climate Datasets proprietary
NBId0169_101 Baringo (Kenya) Pilot Study for Desertification Assessment and Mapping CEOS_EXTRA STAC Catalog 1984-01-01 1992-12-30 35, -1, 36, 0 https://cmr.earthdata.nasa.gov/search/concepts/C2232849286-CEOS_EXTRA.umm_json The purpose of the Kenya Pilot Study was to evaluate the FAO/UNEP Provisional Methodology for Assessment and Mapping of Desertification, and to recommend an effective, simple methodology for desertification assessment within Kenya. The FAO/UNEP Provisional Methodology (1984) proposes seven processes for consideration in desertification assessment: degradation of vegetation, water erosion, wind erosion, salinization, reduction of organic content, soil crusting and compaction. In late 1985, a pilot project for the assessment of the FAO/UNEP Methodology within Kenya was proposed, and in 1987 a memorandum of understanding between the Government of Kenya and UNEP for the implementation of that study was signed. The study areas were: 1) Models can be useful to assist in desertification assessment. Models can be developed from FAO/UNEP Methodology. 2) Any modeling output requires verification. 3) Ground survey and remote sensing can be important sources of data. 4) An evaluation of data and methodologies necessary to allow verification of desertification assessment modeling is required. 5) A human use component should be incorporated into desertification assessment that considers management implications and social, as well as, economic context. 6) Computer implementation of desertificaiton assessment can be effective, however, procedures should be well defined. This study within the Baringo Study Area was designed to address these concerns. The Baringo Study Area identified in this study would be typical of such a training area. The models developed during this study could be applied to the general region. The study area lies between 0 15'-1 N and 35 30' -36 30' E. It is located between the Laikipia escarpment to the East and the Tugen Hills to the West. Topographic elevations vary from 900m on the Njemps flats to 2000m in the Puka, Tangulbei and Pokot highlands. The size of the study area is approximately 15ookm2. 4.0 DATA COLLECTION A wide variety of data was collected. Detailed data was required to provide a basis for evaluating more general cost effective data gathering techniques and to provide a basis for model verification, particularly the socio/economic data. Physical Environment Topographic Data Topographic contours were digitized directly from 1:250,000 Survey of Kenya topographic maps. The contour interval was 200 feet. A digital elevation model was constructed using triangular irregular networks (TIN). Soil Data Soil types were mapped at 1:100,000 scale using existing soil maps, manual interpretation of SPOT imagery, and field investigations (Figure 3). During field trips, soil samples were taken from each soil unit and analyzed by the Kenya National Agricultural Center. 4.2 Climate Data 4.2.1 Rainfall Data Rainfall data from the Kenya Meteorological Department was analyzed for 33 stations within and surrounding the study area. A rainfall erosivity index was calculated based on the Fourier Index (R). 12 RE (p /P) 12 where P = annual rainfall p = monthly rainfall A relationship between this erosivity index and the annual rainfall for each station was calculated using linear regression (Bake, 1988). A map of rainfall erosivity was generated for the study area by relating annual rainfall isoheyts to the following: y = 0.108x - 0.68 This data was coded and digitized. Wind Erosion Potential The following required conditions were determined to create high wind erosion potential (Kinuthia, 1989): 1) Annual rainfall less than 300mm. 2) P/E greater than zero and less than 1, where: P=mean monthly rainfall (cm). E=mean monthly PET (cm). 3) Wind velocity greater than 4 m/s at 10m height. Vegetation Data A vegetation map for the study area was produced at a scale of 1:100,000 through manual interpretation of a SPOT image and field investigations (Figure 6). A structural classification system as adopted by DRSRS was used for naming vegetation types (Grunb). Systematic Reconnaissance Flight Data Since 1977, DRSRS has been conducting aerial surveys of Kenyan rangelands. In addition to data on the number of wildlife and livestock, observations of land use and environmental condition are also made. Socio/economic Data Social Factors A wide variety of data was collected through literature review and a field administered questionnaire. Nutritional status was estimated by measurement of childrens' mid upper arm. Such data is useful for a Level 1 type assessment. Permanent Structures Data For the Level 2 assessment, data on permanent structures was extracted from DRSRS SRF data. This data was used to indicate presence and concentration of sedentary populations. Example Files: VDS.E00 (Vegetation degradation) DES.E00 (Plant Species) Others available on request. proprietary
NBId0177_101 Laikipia (Kenya) Research Programme GIS Datasets CEOS_EXTRA STAC Catalog 1990-01-01 1994-12-30 36, 0, 37, 1 https://cmr.earthdata.nasa.gov/search/concepts/C2232848187-CEOS_EXTRA.umm_json Laikipia Research Programme GIS Datasets are divided into two main different study area scales: the Regional level [Laikipia district, the Ewaso Ng'iro Basin] and the Local level [Land parcels-farm(s), catchments of a few kilometer square]. Coordinate Reference System Coverage data is organized thematically as a series of layers. The coordinate reference systems used in LRP dataset are:- (a) global coordinate system - Universal Transverse Mercator (UTM), (b) Local coordinate system. Digitizing Scale and Fuzzy Tolerance The initial digitizing scale for the LRP GIS Dataset is dependent on the scale of the study areas. There are two major research levels carried by LRP namely Regional and Local. The scales used for regional level are 1:250,000 and 1:50,000. FUZZY TOLERANCE is the minimum distance between coordinates in a coverage. The resolution of a coverage is defined by the minimum distance separating the coordinates used to store coverage features. Resolution is limited by the map scale in initial digitizing. The fuzzy tolerance can be calculated as follows for digitizing table: Initial Scale for Coverage of Fuzzy Tolerance Digitizing Units Value 1;250,000 Meters 6.35 1:50,000 Meters 1.25 1:10,000 Meters 0.25 1:5,000 Meters 0.125 1:2,500 Meters 0.0625 Files: Roads.E00 (Roads) Settle.E00 (Settlement Pattern) Centres.E00 (Urban Centres) (other files exist also) proprietary
-NBId0203_101 Africa Water Balance high/lowland crops, 1987 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847252-CEOS_EXTRA.umm_json "The Africa Water Balance data set which is prepared by watershed and by country, belongs to the group of ""Irrigation and Water Resources Potential"" study. It covers 55 countries and 25 major basins which contain 335 watersheds. The digitized data base for Africa and the World was originally prepared for an FAO/UNEP project on Desertification in 1982-1984. UNEP financed preparation and analysis of the digitized map data and FAO prepared the data and methodology. The main input maps (all in Miller Oblated Stereographic projection) are the 1975 UNESCO Geological Map of Africa (originally at a scale of 1:10 million); the FAO/UNESCO Soil Map of Africa; Mean Annual Rainfall Map from hand drawn FAO/AGS climate maps; Template; Watersheds; and Administrative Units map - all at a scale 1:5 m. The methodology was based on water balance approach. This determines the suitability of the soil for irrigation and estimates the amount of water the soil requires. Estimates of the surface and groundwater are then compared to the potential irrigation use. If use exceeds available water resources, the irrigable area is correspondingly reduced; in the event of water surplus, some of the water is routed to the downstream basin. The classification was done for two major crop types: lowland crops (flooded rice), and upland crops (for all other irrigated crops except lowland crops). For further details refer to FAO contact for the 1987 FAO Irrigation and Water Resources Potential for Africa AGL/MISC/11/87. FAO, Land and Water Development Division via Delle Terme di Caracalla, 00100, Rome, Italy Vector Member The file is in Arc/Info Export format. Reference: FAO. Irrigation and Water Resources Potential for Africa. (1987) FAO. Final Report UNEP/FAO world and Africa GIS data base (1984), unpublished publication of ESRI, FAO and UNEP. UNESCO. Geological Map of Africa (1975). Scale 1:5 000 000." proprietary
NBId0203_101 Africa Water Balance high/lowland crops, 1987 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847252-CEOS_EXTRA.umm_json "The Africa Water Balance data set which is prepared by watershed and by country, belongs to the group of ""Irrigation and Water Resources Potential"" study. It covers 55 countries and 25 major basins which contain 335 watersheds. The digitized data base for Africa and the World was originally prepared for an FAO/UNEP project on Desertification in 1982-1984. UNEP financed preparation and analysis of the digitized map data and FAO prepared the data and methodology. The main input maps (all in Miller Oblated Stereographic projection) are the 1975 UNESCO Geological Map of Africa (originally at a scale of 1:10 million); the FAO/UNESCO Soil Map of Africa; Mean Annual Rainfall Map from hand drawn FAO/AGS climate maps; Template; Watersheds; and Administrative Units map - all at a scale 1:5 m. The methodology was based on water balance approach. This determines the suitability of the soil for irrigation and estimates the amount of water the soil requires. Estimates of the surface and groundwater are then compared to the potential irrigation use. If use exceeds available water resources, the irrigable area is correspondingly reduced; in the event of water surplus, some of the water is routed to the downstream basin. The classification was done for two major crop types: lowland crops (flooded rice), and upland crops (for all other irrigated crops except lowland crops). For further details refer to FAO contact for the 1987 FAO Irrigation and Water Resources Potential for Africa AGL/MISC/11/87. FAO, Land and Water Development Division via Delle Terme di Caracalla, 00100, Rome, Italy Vector Member The file is in Arc/Info Export format. Reference: FAO. Irrigation and Water Resources Potential for Africa. (1987) FAO. Final Report UNEP/FAO world and Africa GIS data base (1984), unpublished publication of ESRI, FAO and UNEP. UNESCO. Geological Map of Africa (1975). Scale 1:5 000 000." proprietary
+NBId0203_101 Africa Water Balance high/lowland crops, 1987 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847252-CEOS_EXTRA.umm_json "The Africa Water Balance data set which is prepared by watershed and by country, belongs to the group of ""Irrigation and Water Resources Potential"" study. It covers 55 countries and 25 major basins which contain 335 watersheds. The digitized data base for Africa and the World was originally prepared for an FAO/UNEP project on Desertification in 1982-1984. UNEP financed preparation and analysis of the digitized map data and FAO prepared the data and methodology. The main input maps (all in Miller Oblated Stereographic projection) are the 1975 UNESCO Geological Map of Africa (originally at a scale of 1:10 million); the FAO/UNESCO Soil Map of Africa; Mean Annual Rainfall Map from hand drawn FAO/AGS climate maps; Template; Watersheds; and Administrative Units map - all at a scale 1:5 m. The methodology was based on water balance approach. This determines the suitability of the soil for irrigation and estimates the amount of water the soil requires. Estimates of the surface and groundwater are then compared to the potential irrigation use. If use exceeds available water resources, the irrigable area is correspondingly reduced; in the event of water surplus, some of the water is routed to the downstream basin. The classification was done for two major crop types: lowland crops (flooded rice), and upland crops (for all other irrigated crops except lowland crops). For further details refer to FAO contact for the 1987 FAO Irrigation and Water Resources Potential for Africa AGL/MISC/11/87. FAO, Land and Water Development Division via Delle Terme di Caracalla, 00100, Rome, Italy Vector Member The file is in Arc/Info Export format. Reference: FAO. Irrigation and Water Resources Potential for Africa. (1987) FAO. Final Report UNEP/FAO world and Africa GIS data base (1984), unpublished publication of ESRI, FAO and UNEP. UNESCO. Geological Map of Africa (1975). Scale 1:5 000 000." proprietary
NBId0207_101 IGADD Member Countries Crop types and distribution by administrative units, 1987 CEOS_EXTRA STAC Catalog 1970-01-01 22, -12, 51, 23 https://cmr.earthdata.nasa.gov/search/concepts/C2232849119-CEOS_EXTRA.umm_json "The IGADD (Inter-Governmental Authority on Drought and Development) crop zones dataset is part of the Africa UNEP/FAO/ESRI Crops Data. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. The data was provided by Food and Agriculture Organization (FAO), the Soil Resources, Management and Conservation Service, Land and Water Development Division, Italy. The datasets were then developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The base maps used were the UNESCO/FAO Soil Map of the world (1977) in Miller Oblated Stereographic projection, the Administrative Units map and the World Atlas of Agriculture (1969). All sources were re-registered to the base map by comparing known features on the base map and the source maps. In the original Database (Africa), a considerable study was made of crop water requirements for a range of crops in the various African climates during the time of the year when irrigation would be required. It was found that a relatively simple relationship exists between annual rainfall and the crop irrigation water requirements for the African food grain crops. It was also observed that water requirements for food grains vary between fruit and vegetable crops on the one side and fiber crops and fodder on the other. No attempt was made to produce complex crop patterns. There is a maximum of 13 crop types in one country. References: ESRI. Final Report UNEP/FAO world and Africa GIS data base (1984). Internal Publication by ESRI, FAO and UNEP FAO/UNESCO Soil Map of the Africa (1977). Scale 1:5000000. UNESCO, Paris. FAO. Administration units map. Scale 1:5 000 000. Rome. FAO. Irrigation and Water Resources Potential for Africa. (1987) Source :UNESCO/FAO Soil Map of the World. Scale 1:5000000 Publication Date :Nov 1987 Projection :Miller Type :Polygon Format :Arc/Info Export non-compressed Related Data sets :All UNEP/FAO/ESRI Data sets FAO Irrigable Data sets 100050: "" IRRIGLB lowland crops, best soils "" IRRIGLT lowland crops, best plus suitable soils "" IRRIGUB upland crops, best soils "" IRRIGUT upland crops, best plus suitable soils FAO Soil water balance 100053: "" WATBALLB lowland crops, best soils "" WATBALLT lowland crops, best plus suitable soils "" WATBALUB upland crops, best soils "" WATBALUT upland crops, best plus suitable soils FAO Agro-ecological zones AEZBLL08 North-west of continent AEZBLL09 North-east of continent AEZBLL10 South of continent" proprietary
NBId0208_101 Africa Major Human Settlements and Landuse, 1984 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848068-CEOS_EXTRA.umm_json The Africa Human Settlements and Landuse data sets form part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses here on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Soil Resources, Management and Conservation Service, Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. This data set was developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The base maps used were the UNESCO/FAO Soil Map of the world (1977) in Miller Oblated Stereographic projection, the DMA Global Navigation and Planning charts for Africa (various dates: 1976-1982) and the Rand-McNally, New International Atlas (1982). All sources were re-registered to the basemap by comparing known features on the base map those of the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done using an unpublished algorithm of the US Geological Survey and ESRI to create coverages for one-degree graticules. The Population Centers were selected based upon their inclusion in the list of major cities and populated areas in the Rand McNally New International Atlas. References: ESRI. Final Report UNEP/FAO World and Africa GIS data base (1984). Internal Publication by ESRI, FAO and UNEP FAO. UNESCO Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris Defence Mapping Agency. Global Navigation and Planning charts for Africa (various dates: 1976-1982). Scale 1:5000000. Washington DC. Grosvenor. National Geographic Atlas of the World (1975). Scale 1:850000. National Geographic Society Washington DC. DMA. Topographic Maps of Africa (various dates). Scale 1:2000000 Washington DC. Rand-McNally. The new International Atlas (1982). Scale 1:6,000,000. Rand McNally & Co.Chicago Source :FAO Soil Map of the World. Scale 1:5000000 Publication Date :Dec 1984 Projection :Miller Type :Points Format :Arc/Info export non-compressed Related Data sets :All UNEP/FAO/ESRI Data sets ADMINLL (100012-002) administrative boundries AFURBAN (100082) urban percentage coverage Comments : no outline of Africa proprietary
NBId0208_101 Africa Major Human Settlements and Landuse, 1984 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848068-CEOS_EXTRA.umm_json The Africa Human Settlements and Landuse data sets form part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses here on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Soil Resources, Management and Conservation Service, Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. This data set was developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The base maps used were the UNESCO/FAO Soil Map of the world (1977) in Miller Oblated Stereographic projection, the DMA Global Navigation and Planning charts for Africa (various dates: 1976-1982) and the Rand-McNally, New International Atlas (1982). All sources were re-registered to the basemap by comparing known features on the base map those of the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done using an unpublished algorithm of the US Geological Survey and ESRI to create coverages for one-degree graticules. The Population Centers were selected based upon their inclusion in the list of major cities and populated areas in the Rand McNally New International Atlas. References: ESRI. Final Report UNEP/FAO World and Africa GIS data base (1984). Internal Publication by ESRI, FAO and UNEP FAO. UNESCO Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris Defence Mapping Agency. Global Navigation and Planning charts for Africa (various dates: 1976-1982). Scale 1:5000000. Washington DC. Grosvenor. National Geographic Atlas of the World (1975). Scale 1:850000. National Geographic Society Washington DC. DMA. Topographic Maps of Africa (various dates). Scale 1:2000000 Washington DC. Rand-McNally. The new International Atlas (1982). Scale 1:6,000,000. Rand McNally & Co.Chicago Source :FAO Soil Map of the World. Scale 1:5000000 Publication Date :Dec 1984 Projection :Miller Type :Points Format :Arc/Info export non-compressed Related Data sets :All UNEP/FAO/ESRI Data sets ADMINLL (100012-002) administrative boundries AFURBAN (100082) urban percentage coverage Comments : no outline of Africa proprietary
-NBId0211_101 Africa Irrigation Potential, Best soils, 1987 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848204-CEOS_EXTRA.umm_json The Africa Irrigation Potential data set, which represents the best soils suitable for upland, is part of the FAO Irrigation and Water Resources Potential Database. The main input maps were the 1977 FAO/UNESCO Soil Map of the Africa, UNESCO Geological World Atlas (scale 1:10 m), Mean Annual Rainfall map from hand drawn FAO/AGS climate maps, Template with water related features, Administrative Units map, and Watersheds map. All maps, apart from where specified were at a scale of 1:5 million, and all in Miller Oblated Stereographic projection. The soil suitability for irrigation was determined by evaluating the properties of all soil components: dominant soil, associations and inclusions, phases, slope, drainage, and texture. The classification was done for two major crop types: lowland crops (flooded rice), and upland crops (for all other irrigated crops except the lowland crops). The soils source includes a list of attributes for each soil unit including: slope, drainage, texture and phase (re: UNEP/FAO/ESRI ITU 100004). Then for both cases (lowland crops (flooded rice), and upland crops (for all other irrigated crops except the lowland crops)), two maps were generated. One with all soils which are suitable, and one where slope, texture, drainage and phase were considered. Each different soil type is classed according to suitability, S1 irrigation with no constraints, S2 irrigation with some constraints, N1 not suitable without major improvements, N2 permanently not suitable. Because one soil unit can consist of more soil components (unit Af26-a can mean 30%Bf and 70% Af) the suitability is expressed in percentage of the unit that is suitable (1 >50% suitable, 2 = 25-50% etc.). Then the soil characteristics are used to refine the ranking. This refining is done were the original soil rank is increased decreased or changed from their original suitability to a new suitability (so or soil gets new class S1, N1 etc. or ranking changes like, -1 lower soil rank by one, +1 raise soil rank with one). The Ranking of Soils is as follows The soils considered not suitable are: Lithosols, Arenosols, Rendzinas, Yermosols, Podzols, Thionic Fluvisols, Miscellaneous land units such as rock debris, desert debris, Gypsum units, Soils with stonic, lythic or petrogypsic phase. proprietary
NBId0211_101 Africa Irrigation Potential, Best soils, 1987 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848204-CEOS_EXTRA.umm_json The Africa Irrigation Potential data set, which represents the best soils suitable for upland, is part of the FAO Irrigation and Water Resources Potential Database. The main input maps were the 1977 FAO/UNESCO Soil Map of the Africa, UNESCO Geological World Atlas (scale 1:10 m), Mean Annual Rainfall map from hand drawn FAO/AGS climate maps, Template with water related features, Administrative Units map, and Watersheds map. All maps, apart from where specified were at a scale of 1:5 million, and all in Miller Oblated Stereographic projection. The soil suitability for irrigation was determined by evaluating the properties of all soil components: dominant soil, associations and inclusions, phases, slope, drainage, and texture. The classification was done for two major crop types: lowland crops (flooded rice), and upland crops (for all other irrigated crops except the lowland crops). The soils source includes a list of attributes for each soil unit including: slope, drainage, texture and phase (re: UNEP/FAO/ESRI ITU 100004). Then for both cases (lowland crops (flooded rice), and upland crops (for all other irrigated crops except the lowland crops)), two maps were generated. One with all soils which are suitable, and one where slope, texture, drainage and phase were considered. Each different soil type is classed according to suitability, S1 irrigation with no constraints, S2 irrigation with some constraints, N1 not suitable without major improvements, N2 permanently not suitable. Because one soil unit can consist of more soil components (unit Af26-a can mean 30%Bf and 70% Af) the suitability is expressed in percentage of the unit that is suitable (1 >50% suitable, 2 = 25-50% etc.). Then the soil characteristics are used to refine the ranking. This refining is done were the original soil rank is increased decreased or changed from their original suitability to a new suitability (so or soil gets new class S1, N1 etc. or ranking changes like, -1 lower soil rank by one, +1 raise soil rank with one). The Ranking of Soils is as follows The soils considered not suitable are: Lithosols, Arenosols, Rendzinas, Yermosols, Podzols, Thionic Fluvisols, Miscellaneous land units such as rock debris, desert debris, Gypsum units, Soils with stonic, lythic or petrogypsic phase. proprietary
-NBId0216_101 Africa Number of Wet Days per Year and Wind Velocity, 1984 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849224-CEOS_EXTRA.umm_json "The Africa Number of Wet Days per year and Wind Velocity data sets are part of the UNEP/FAO/ESRI Database project that covers the entire world but focused on Africa in this case. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by Food and Agriculture Organization (FAO), the Soil Resources, Management and Conservation Service Land and Water Development Division, Italy. This data set was developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The base maps used were hand drawn climate maps from FAO. All sources were re-registered to the FAO Soil Map of the world (1984) in Miller Oblated Stereographic projection by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/ longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverages for one-degree graticules. References: ESRI. Final Report UNEP/FAO world and Africa GIS data base (1984). ""Internal Publication from ESRI, FAO and UNEP ""FAO/UNESCO. Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris ""FAO. Map of Mean Annual Rainfall and general Climate zones for P/Pet for Africa. (1983). Scale 1:5000000. Todor Boyadgiev, Soil Resources, Management and Conservation Service. FAO, Rome ""FAO. Maps of Mean annual Wind Velocity for Africa (1983). Scale 1:5000000. Todor Boyadgiev, Soil Resourcs, Management and Conservation Service. FAO, Rome"" ""FAO. Maps of Number of Wet Days per Year (1983). Scale 1:5000000. Todor Boyadgiev, Soil Resourcs, Management and Conservation Service. FAO, Rome Source :FAO Soil Map of the World. Scale 1:5000000 Publication Date :Dec 1984 Projection :Geographic (lat/lon) Type :Polygon and line Format :Arc/Info Export non-compressed Related Datasets :All UNEP/FAO/ESRI Data sets" proprietary
+NBId0211_101 Africa Irrigation Potential, Best soils, 1987 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848204-CEOS_EXTRA.umm_json The Africa Irrigation Potential data set, which represents the best soils suitable for upland, is part of the FAO Irrigation and Water Resources Potential Database. The main input maps were the 1977 FAO/UNESCO Soil Map of the Africa, UNESCO Geological World Atlas (scale 1:10 m), Mean Annual Rainfall map from hand drawn FAO/AGS climate maps, Template with water related features, Administrative Units map, and Watersheds map. All maps, apart from where specified were at a scale of 1:5 million, and all in Miller Oblated Stereographic projection. The soil suitability for irrigation was determined by evaluating the properties of all soil components: dominant soil, associations and inclusions, phases, slope, drainage, and texture. The classification was done for two major crop types: lowland crops (flooded rice), and upland crops (for all other irrigated crops except the lowland crops). The soils source includes a list of attributes for each soil unit including: slope, drainage, texture and phase (re: UNEP/FAO/ESRI ITU 100004). Then for both cases (lowland crops (flooded rice), and upland crops (for all other irrigated crops except the lowland crops)), two maps were generated. One with all soils which are suitable, and one where slope, texture, drainage and phase were considered. Each different soil type is classed according to suitability, S1 irrigation with no constraints, S2 irrigation with some constraints, N1 not suitable without major improvements, N2 permanently not suitable. Because one soil unit can consist of more soil components (unit Af26-a can mean 30%Bf and 70% Af) the suitability is expressed in percentage of the unit that is suitable (1 >50% suitable, 2 = 25-50% etc.). Then the soil characteristics are used to refine the ranking. This refining is done were the original soil rank is increased decreased or changed from their original suitability to a new suitability (so or soil gets new class S1, N1 etc. or ranking changes like, -1 lower soil rank by one, +1 raise soil rank with one). The Ranking of Soils is as follows The soils considered not suitable are: Lithosols, Arenosols, Rendzinas, Yermosols, Podzols, Thionic Fluvisols, Miscellaneous land units such as rock debris, desert debris, Gypsum units, Soils with stonic, lythic or petrogypsic phase. proprietary
NBId0216_101 Africa Number of Wet Days per Year and Wind Velocity, 1984 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849224-CEOS_EXTRA.umm_json "The Africa Number of Wet Days per year and Wind Velocity data sets are part of the UNEP/FAO/ESRI Database project that covers the entire world but focused on Africa in this case. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by Food and Agriculture Organization (FAO), the Soil Resources, Management and Conservation Service Land and Water Development Division, Italy. This data set was developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The base maps used were hand drawn climate maps from FAO. All sources were re-registered to the FAO Soil Map of the world (1984) in Miller Oblated Stereographic projection by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/ longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverages for one-degree graticules. References: ESRI. Final Report UNEP/FAO world and Africa GIS data base (1984). ""Internal Publication from ESRI, FAO and UNEP ""FAO/UNESCO. Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris ""FAO. Map of Mean Annual Rainfall and general Climate zones for P/Pet for Africa. (1983). Scale 1:5000000. Todor Boyadgiev, Soil Resources, Management and Conservation Service. FAO, Rome ""FAO. Maps of Mean annual Wind Velocity for Africa (1983). Scale 1:5000000. Todor Boyadgiev, Soil Resourcs, Management and Conservation Service. FAO, Rome"" ""FAO. Maps of Number of Wet Days per Year (1983). Scale 1:5000000. Todor Boyadgiev, Soil Resourcs, Management and Conservation Service. FAO, Rome Source :FAO Soil Map of the World. Scale 1:5000000 Publication Date :Dec 1984 Projection :Geographic (lat/lon) Type :Polygon and line Format :Arc/Info Export non-compressed Related Datasets :All UNEP/FAO/ESRI Data sets" proprietary
+NBId0216_101 Africa Number of Wet Days per Year and Wind Velocity, 1984 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849224-CEOS_EXTRA.umm_json "The Africa Number of Wet Days per year and Wind Velocity data sets are part of the UNEP/FAO/ESRI Database project that covers the entire world but focused on Africa in this case. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by Food and Agriculture Organization (FAO), the Soil Resources, Management and Conservation Service Land and Water Development Division, Italy. This data set was developed in collaboration with the United Nations Environment Program (UNEP), Kenya. The base maps used were hand drawn climate maps from FAO. All sources were re-registered to the FAO Soil Map of the world (1984) in Miller Oblated Stereographic projection by comparing known features on the basemap and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/ longitude degrees. The transformation was done by an unpublished algorithm (by US Geological Survey and ESRI) to create coverages for one-degree graticules. References: ESRI. Final Report UNEP/FAO world and Africa GIS data base (1984). ""Internal Publication from ESRI, FAO and UNEP ""FAO/UNESCO. Soil Map of the World (1977). Scale 1:5000000. UNESCO, Paris ""FAO. Map of Mean Annual Rainfall and general Climate zones for P/Pet for Africa. (1983). Scale 1:5000000. Todor Boyadgiev, Soil Resources, Management and Conservation Service. FAO, Rome ""FAO. Maps of Mean annual Wind Velocity for Africa (1983). Scale 1:5000000. Todor Boyadgiev, Soil Resourcs, Management and Conservation Service. FAO, Rome"" ""FAO. Maps of Number of Wet Days per Year (1983). Scale 1:5000000. Todor Boyadgiev, Soil Resourcs, Management and Conservation Service. FAO, Rome Source :FAO Soil Map of the World. Scale 1:5000000 Publication Date :Dec 1984 Projection :Geographic (lat/lon) Type :Polygon and line Format :Arc/Info Export non-compressed Related Datasets :All UNEP/FAO/ESRI Data sets" proprietary
NBId0218_101 Africa Surface Hydrography, 1984 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848062-CEOS_EXTRA.umm_json The First-Third Order Stream Network member of the African Surface Hydrography data set is part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses here on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. The database was developed by the United Nations Environment Program (UNEP), as part of a project initiated by the same. The base map used was the FAO/UNESCO Soil Map of the World, scale 1:5000000 (1977) in Miller Oblated Stereographic projection. All sources were re-registered to the base map by comparing known features on the base map and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done using an unpublished algorithm by US Geological Survey and ESRI) to create coverage for one-degree graticules. References: ESRI. Final Report UNEP/FAO World and Africa GIS data base (1977). Internal Publication by ESRI, FAO and UNEP FAO. UNESCO Soil Map of the World.(1977). Scale 1:5000000. UNESCO, Paris Source :FAO/UNESCO Soil Map of the World. Scale 1:5000000 Publication Date :Dec 1984 Projection :Geographic (lat/lon) Feature type :line Related Data sets :All UNEP/FAO/ESRI Data sets, Outline of Africa OUTLINE3.E00, HYDRMAJLL, HYDRMINLL (Surface Hydrography), Hydrologic Basins Comment : No boundary (outline) for Africa. proprietary
NBId0218_101 Africa Surface Hydrography, 1984 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848062-CEOS_EXTRA.umm_json The First-Third Order Stream Network member of the African Surface Hydrography data set is part of the UNEP/FAO/ESRI Database project that covers the entire world but focuses here on Africa. The maps were prepared by Environmental Systems Research Institute (ESRI), USA. Most data for the database were provided by the Land and Water Development Division of the Food and Agriculture Organization (FAO), Italy. The database was developed by the United Nations Environment Program (UNEP), as part of a project initiated by the same. The base map used was the FAO/UNESCO Soil Map of the World, scale 1:5000000 (1977) in Miller Oblated Stereographic projection. All sources were re-registered to the base map by comparing known features on the base map and the source maps. The digitizing was done with a spatial resolution of 0.002 inches. The maps were then transformed from inch coordinates to latitude/longitude degrees. The transformation was done using an unpublished algorithm by US Geological Survey and ESRI) to create coverage for one-degree graticules. References: ESRI. Final Report UNEP/FAO World and Africa GIS data base (1977). Internal Publication by ESRI, FAO and UNEP FAO. UNESCO Soil Map of the World.(1977). Scale 1:5000000. UNESCO, Paris Source :FAO/UNESCO Soil Map of the World. Scale 1:5000000 Publication Date :Dec 1984 Projection :Geographic (lat/lon) Feature type :line Related Data sets :All UNEP/FAO/ESRI Data sets, Outline of Africa OUTLINE3.E00, HYDRMAJLL, HYDRMINLL (Surface Hydrography), Hydrologic Basins Comment : No boundary (outline) for Africa. proprietary
-NBId0220_101 Africa Rainfall and Maximum Temperature Measuring Stations (12 average monthly), 1989 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849335-CEOS_EXTRA.umm_json "The Africa Rain Measuring Stations data set, for monthly rainfall is part of the UNEP/ILRAD, now ILRI East Coast Fever (ECF) Database project. The point data was reformatted (Miller, scale 1:5 000 000) from CIAT tabular data based on 12 average monthly rainfall, evaporation, and minimum/maximum temperature. The data was used in the calculation of interpolated surfaces for rainfall and temperature distribution as the basis for modeling of climatic stress factors that constrain the distribution of ticks that transfer ECF. Vector Member The file is in Arc/Info Export format. The RAINSTNS point data represents rainfall measuring stations (12 average monthly) should go with file DATREAD.ME References: P. Lessard, R. L'Eppattenier, R.A. Norval, B.D. Perry, T.T. Dolan, K. Kundert, H. Croze, J.B. Walker, A.D. Irvin. Geographic Information System for studying the Epidemiology of East Coast Fever (Theileria parva) (1989). K. Kundert. Isolating East Coast Fever High risk Areas (1989). Arc/Info European User Conference, Rome, October 1989. CSIRO. Users guide to CLIMEX, A computer program for comparing climates in ecology. CSIRO Aust. Div Rep No.35, pp.-29 Source : CIAT tabular data Publication Date :Jan 1989 Projection :Miller Type :Point Format :Arc/Info Export non-compressed ""Related Data sets :East Coast Fever (100057-002-/66-002): ECFMAP, TICKSUIT, BUFFALO2, CATTLE, CATTYP, BUFCAT2, RAPOLY, RAPNTS, RDPNTS, RNPNTS and RZPNTS. Comment : No boundary (outline) for Africa" proprietary
NBId0220_101 Africa Rainfall and Maximum Temperature Measuring Stations (12 average monthly), 1989 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849335-CEOS_EXTRA.umm_json "The Africa Rain Measuring Stations data set, for monthly rainfall is part of the UNEP/ILRAD, now ILRI East Coast Fever (ECF) Database project. The point data was reformatted (Miller, scale 1:5 000 000) from CIAT tabular data based on 12 average monthly rainfall, evaporation, and minimum/maximum temperature. The data was used in the calculation of interpolated surfaces for rainfall and temperature distribution as the basis for modeling of climatic stress factors that constrain the distribution of ticks that transfer ECF. Vector Member The file is in Arc/Info Export format. The RAINSTNS point data represents rainfall measuring stations (12 average monthly) should go with file DATREAD.ME References: P. Lessard, R. L'Eppattenier, R.A. Norval, B.D. Perry, T.T. Dolan, K. Kundert, H. Croze, J.B. Walker, A.D. Irvin. Geographic Information System for studying the Epidemiology of East Coast Fever (Theileria parva) (1989). K. Kundert. Isolating East Coast Fever High risk Areas (1989). Arc/Info European User Conference, Rome, October 1989. CSIRO. Users guide to CLIMEX, A computer program for comparing climates in ecology. CSIRO Aust. Div Rep No.35, pp.-29 Source : CIAT tabular data Publication Date :Jan 1989 Projection :Miller Type :Point Format :Arc/Info Export non-compressed ""Related Data sets :East Coast Fever (100057-002-/66-002): ECFMAP, TICKSUIT, BUFFALO2, CATTLE, CATTYP, BUFCAT2, RAPOLY, RAPNTS, RDPNTS, RNPNTS and RZPNTS. Comment : No boundary (outline) for Africa" proprietary
+NBId0220_101 Africa Rainfall and Maximum Temperature Measuring Stations (12 average monthly), 1989 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232849335-CEOS_EXTRA.umm_json "The Africa Rain Measuring Stations data set, for monthly rainfall is part of the UNEP/ILRAD, now ILRI East Coast Fever (ECF) Database project. The point data was reformatted (Miller, scale 1:5 000 000) from CIAT tabular data based on 12 average monthly rainfall, evaporation, and minimum/maximum temperature. The data was used in the calculation of interpolated surfaces for rainfall and temperature distribution as the basis for modeling of climatic stress factors that constrain the distribution of ticks that transfer ECF. Vector Member The file is in Arc/Info Export format. The RAINSTNS point data represents rainfall measuring stations (12 average monthly) should go with file DATREAD.ME References: P. Lessard, R. L'Eppattenier, R.A. Norval, B.D. Perry, T.T. Dolan, K. Kundert, H. Croze, J.B. Walker, A.D. Irvin. Geographic Information System for studying the Epidemiology of East Coast Fever (Theileria parva) (1989). K. Kundert. Isolating East Coast Fever High risk Areas (1989). Arc/Info European User Conference, Rome, October 1989. CSIRO. Users guide to CLIMEX, A computer program for comparing climates in ecology. CSIRO Aust. Div Rep No.35, pp.-29 Source : CIAT tabular data Publication Date :Jan 1989 Projection :Miller Type :Point Format :Arc/Info Export non-compressed ""Related Data sets :East Coast Fever (100057-002-/66-002): ECFMAP, TICKSUIT, BUFFALO2, CATTLE, CATTYP, BUFCAT2, RAPOLY, RAPNTS, RDPNTS, RNPNTS and RZPNTS. Comment : No boundary (outline) for Africa" proprietary
NBId0223_101 Africa Zobler Soils (Texture Classes, Slope, Phases), 1987 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848713-CEOS_EXTRA.umm_json "The Zobler soil datasets were developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The data set is part of the World Data Bank II and is part of ""The Global Change Data Base"". The World Data Bank II is part of a larger project called ""Global Ecosystems Database Project"". The project was a joint effort between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. The texture data is based on the FAO Soil Map of the World, and compiled into digital form by Zobler. Each matrix element represents the near-surface texture (upper 30 cm) of the dominant soil unit in a one-degree square cell of the earth's surface. The data conforms in location, and nominal classification (land, land-ice, water) to Matthew's vegetation data set. References: FAO. FAO-UNESCO Soil Map of the World (1974). Scale 1:5000000. UNESCO, Paris. Staub, Brad and Cynthia Rosenzweig. Global Digital Data Sets of Soil Type, Soil Texture, Surface Slope, and other properties: Documentation of Archived Tape Data. NASA Technical Memorandum No.100685. Henderson-Sellers, A., M.F. Wilson, G. Thomas, R.E. Dickinson. Current Global Land Surface Data Sets for Use in Climate-Related Studies. (1986). Matthews, E. Global vegetation and land use: New high resolution data bases for climate studies (1983). J. Clim. Appl. Meteor., vol.22, pp.474-487. Vegetation, Land-use and Seasonal Albedo Data Sets: Documentation of Archived Data Tape (1984). NASA Technical Memorandum. No.86107. Wilson. M.F. and A. Henderson-Sellers. A global archive of land cover and soils data for use in general circulation climate models (1985). Journal of Climatology, vol.5, pp.119-143. Source map :FAO/UNESCO Soil Map of the World Publication Date :1987 Projection :lat/lon Type :Raster Format :IDRISI" proprietary
NBId0223_101 Africa Zobler Soils (Texture Classes, Slope, Phases), 1987 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848713-CEOS_EXTRA.umm_json "The Zobler soil datasets were developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the U.S. National Geophysical Data Center (NGDC). The data set is part of the World Data Bank II and is part of ""The Global Change Data Base"". The World Data Bank II is part of a larger project called ""Global Ecosystems Database Project"". The project was a joint effort between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the U.S. Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/latitude) projection. The dataset is accompanied by an ASCII documentation file which contains information necessary for use of the dataset in a GIS or other software. The texture data is based on the FAO Soil Map of the World, and compiled into digital form by Zobler. Each matrix element represents the near-surface texture (upper 30 cm) of the dominant soil unit in a one-degree square cell of the earth's surface. The data conforms in location, and nominal classification (land, land-ice, water) to Matthew's vegetation data set. References: FAO. FAO-UNESCO Soil Map of the World (1974). Scale 1:5000000. UNESCO, Paris. Staub, Brad and Cynthia Rosenzweig. Global Digital Data Sets of Soil Type, Soil Texture, Surface Slope, and other properties: Documentation of Archived Tape Data. NASA Technical Memorandum No.100685. Henderson-Sellers, A., M.F. Wilson, G. Thomas, R.E. Dickinson. Current Global Land Surface Data Sets for Use in Climate-Related Studies. (1986). Matthews, E. Global vegetation and land use: New high resolution data bases for climate studies (1983). J. Clim. Appl. Meteor., vol.22, pp.474-487. Vegetation, Land-use and Seasonal Albedo Data Sets: Documentation of Archived Data Tape (1984). NASA Technical Memorandum. No.86107. Wilson. M.F. and A. Henderson-Sellers. A global archive of land cover and soils data for use in general circulation climate models (1985). Journal of Climatology, vol.5, pp.119-143. Source map :FAO/UNESCO Soil Map of the World Publication Date :1987 Projection :lat/lon Type :Raster Format :IDRISI" proprietary
NBId0233_101 Africa Population Density Model (Land Degradation Project), 1992 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848719-CEOS_EXTRA.umm_json The Africa Population density model represents ranges of population density of inhabitants per square kilometer. The estimated population densities are expressed on a regularly spaced latitude/longitude raster grid covering Africa with an approximate resolution of 10 km x 10 km at the Equator. The data set which is an assessment of one of the factors causing soil degradation, namely the spatial distribution and density of population. It was developed for the GEMS/UNITAR Africa Database and later used for GLASOD. The data sources include: 600 African towns and cities with figures standardized to 1988 values ( a combination of 479 cities from Birkbeck College and 363 cities in 51 African countries from PC Globe 3.0); UNEP/FAO population data from the 1984 Africa database; the Sierra Club Wilderness Area IUCN Protected Areas, used to delimit areas with extremely sparse populations and treated as having a density of less than one person per square kilometer. For methodology and further detail refer to references listed: UN Institute for Training & Research (UNITAR). GEMS/UNITAR Africa Database. Deichmann, U. and Lars Eklundh. Global Digital Datasets for Land Degradation Studies (1991), GRID Case Studies No.4. UNEP/GRID, Nairobi. UNEP. World Atlas of Desertification (1992). Edward Arnold: A division of Hodder and Stoughton, London. Projection :Geographic Type :Raster Format :IDRISI Related files :POPDENSL.E00, POPDENGR.E00 Associated files :POPDENS.DOC and POPDENS.PAL proprietary
NBId0233_101 Africa Population Density Model (Land Degradation Project), 1992 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848719-CEOS_EXTRA.umm_json The Africa Population density model represents ranges of population density of inhabitants per square kilometer. The estimated population densities are expressed on a regularly spaced latitude/longitude raster grid covering Africa with an approximate resolution of 10 km x 10 km at the Equator. The data set which is an assessment of one of the factors causing soil degradation, namely the spatial distribution and density of population. It was developed for the GEMS/UNITAR Africa Database and later used for GLASOD. The data sources include: 600 African towns and cities with figures standardized to 1988 values ( a combination of 479 cities from Birkbeck College and 363 cities in 51 African countries from PC Globe 3.0); UNEP/FAO population data from the 1984 Africa database; the Sierra Club Wilderness Area IUCN Protected Areas, used to delimit areas with extremely sparse populations and treated as having a density of less than one person per square kilometer. For methodology and further detail refer to references listed: UN Institute for Training & Research (UNITAR). GEMS/UNITAR Africa Database. Deichmann, U. and Lars Eklundh. Global Digital Datasets for Land Degradation Studies (1991), GRID Case Studies No.4. UNEP/GRID, Nairobi. UNEP. World Atlas of Desertification (1992). Edward Arnold: A division of Hodder and Stoughton, London. Projection :Geographic Type :Raster Format :IDRISI Related files :POPDENSL.E00, POPDENGR.E00 Associated files :POPDENS.DOC and POPDENS.PAL proprietary
-NBId0236_101 Africa Cattle Type (East Coast Fever Project), 1989 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847818-CEOS_EXTRA.umm_json The Cattle Type data set is part of the East Coast Fever (ECF) database covering sub-Saharan, East, and Central Africa. The ECF study determined both areas at risk and potential migration of the disease by cattle and a potential pool of infection for transmitting the disease to domestic cattle by buffalo which is the main wildlife host of the ECF. The study was carried out in Nairobi by United Nations Environment Program, Global Resource Information Database (UNEP/GRID) in collaboration with the International Laboratory for Research on Animal Diseases (ILRAD), now called International Livestock Research Institute (ILRI). proprietary
NBId0236_101 Africa Cattle Type (East Coast Fever Project), 1989 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847818-CEOS_EXTRA.umm_json The Cattle Type data set is part of the East Coast Fever (ECF) database covering sub-Saharan, East, and Central Africa. The ECF study determined both areas at risk and potential migration of the disease by cattle and a potential pool of infection for transmitting the disease to domestic cattle by buffalo which is the main wildlife host of the ECF. The study was carried out in Nairobi by United Nations Environment Program, Global Resource Information Database (UNEP/GRID) in collaboration with the International Laboratory for Research on Animal Diseases (ILRAD), now called International Livestock Research Institute (ILRI). proprietary
+NBId0236_101 Africa Cattle Type (East Coast Fever Project), 1989 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847818-CEOS_EXTRA.umm_json The Cattle Type data set is part of the East Coast Fever (ECF) database covering sub-Saharan, East, and Central Africa. The ECF study determined both areas at risk and potential migration of the disease by cattle and a potential pool of infection for transmitting the disease to domestic cattle by buffalo which is the main wildlife host of the ECF. The study was carried out in Nairobi by United Nations Environment Program, Global Resource Information Database (UNEP/GRID) in collaboration with the International Laboratory for Research on Animal Diseases (ILRAD), now called International Livestock Research Institute (ILRI). proprietary
NBId0248_101 Africa Wilson & Henderson-Sellers Secondary Vegetation Classes and Class Reliability, 1985 CEOS_EXTRA STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848868-CEOS_EXTRA.umm_json "The Wilson and Henderson-Sellers Secondary Vegetation Classes and Class Reliability data sets are part of the ""Wilson Henderson-Sellers land cover and soils for global circulation modeling project "" and were developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the US National Geophysical Data Center (NGDC). The data sets are part of the World Data Bank II. This data Bank is provided in a Database on diskette called """"The Global Change Data Base"""". The Data Bank II is part of larger project called ""Global Ecosystems Database Project"". This is a cooperative effort between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the US Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/latitude) projection. The data sets are accompanied by an ASCII documentation file which contains information necessary for the use of the dataset in GIS or other software. References: Wilson, M.F./ and A. Henderson-Sellers. A global archive of land cover and soils data for use in general circulation climate models. Journal of Climatology, vol.5, pp.119-143. Source : Digitized from available sources: FAO/UNESCO Soil Map of the World Publication Date : 1985 Projection : lat/lon Type : Raster Format : IDRISI" proprietary
NBId0248_101 Africa Wilson & Henderson-Sellers Secondary Vegetation Classes and Class Reliability, 1985 ALL STAC Catalog 1970-01-01 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232848868-CEOS_EXTRA.umm_json "The Wilson and Henderson-Sellers Secondary Vegetation Classes and Class Reliability data sets are part of the ""Wilson Henderson-Sellers land cover and soils for global circulation modeling project "" and were developed by the World Data Center-A (WDC-A) for Solid Earth Geophysics, operated by the US National Geophysical Data Center (NGDC). The data sets are part of the World Data Bank II. This data Bank is provided in a Database on diskette called """"The Global Change Data Base"""". The Data Bank II is part of larger project called ""Global Ecosystems Database Project"". This is a cooperative effort between the National Oceanic and Atmospheric Administration (NOAA), NGDC and the US Environmental Protection Agency (EPA). The National Center for Geographic Information and Analyses (NCGIA) in Santa Barbara, California joined the project to assist with training and evaluation. A nominal 10 arc-minute scale was chosen to provide compatibility with other scales and because this corresponds closely with the resolution of global AVHRR coverage. All data are provided in geographic (longitude/latitude) projection. The data sets are accompanied by an ASCII documentation file which contains information necessary for the use of the dataset in GIS or other software. References: Wilson, M.F./ and A. Henderson-Sellers. A global archive of land cover and soils data for use in general circulation climate models. Journal of Climatology, vol.5, pp.119-143. Source : Digitized from available sources: FAO/UNESCO Soil Map of the World Publication Date : 1985 Projection : lat/lon Type : Raster Format : IDRISI" proprietary
NBId0270_101 Desertification Atlas (Africa) Maps 1-17 CEOS_EXTRA STAC Catalog 1990-01-01 1992-12-30 -20, -35, 55, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2232847403-CEOS_EXTRA.umm_json INTRODUCTION Desertification/Land Degradation - The Background More than 6.1 billion hectares, over one third of the Earth's land area, is dryland. Nearly one billion hectares of this area are naturally hvperarid deserts, with very low biological productivity. The remaining 5.1 billion hectares are made up of arid, semiarid and dry subhumid areas, part of which have become desert since the dawn of civilization while other parts of these areas are still being degraded by human action today. These lands are the habitat and the source of livelihood for one quarter of the world's population. They are areas characterized by the persistent natural menace of recurrent drought, a natural hazard accentuated by imbalanced management of natural resources. Particularly acute drought years in the Sahelian region of Africa from 1968 to 1973, and their tragic effects on the peoples of the region, drew worldwide attention to the problems of human survival and development in drylands, particularly on desert margins. These problems have been addressed by the United Nations (UN) General Assembly, in conformity with the Charter of the United Nations. The UN General Assembly's Resolution 3202 (vi) of 1 May 1974 recommended that the international community undertake concrete and speedy measures to arrest desertification and assist the economic development of affected areas. The Economic and Social Council's Resolution 1878 (LVII) of 16 July 1974 requested all the concerned organizations of the UN system to pursue a broad attack on the drought problem. Decisions of the Governing Councils of the UN Development Programme (UNDP) and the UN Environment Programme (UNEP) emphasized the need for undertaking measures to check the spread of desert conditions. The General Assembly then decided, by Resolution 3337 (xxix) of 17 December 1974, to initiate concerted international action to combat desertification and, in order to provide an impetus to this action, to convene a UN Conference on Desertification (UNCOD), between 29 August and 9 September 1977 in Nairobi, Kenya, which would produce an effective, comprehensive and coordinated programme for solving the problem. For the purposes of this atlas, desertification/land degradation is defined as: Land degradation in arid, semiarid and dry subhumid areas resulting mainly from adverse human impact. proprietary
NBId0288_101 Desertification Atlas (Global) Maps 1-20 CEOS_EXTRA STAC Catalog 1990-01-01 1992-12-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2232848998-CEOS_EXTRA.umm_json INTRODUCTION Desertification/Land Degradation - The Background More than 6.1 billion hectares, over one third of the Earth's land area, is dryland. Nearly one billion hectares of this area are naturally hvperarid deserts, with very low biological productivity. The remaining 5.1 billion hectares are made up of arid, semiarid and dry subhumid areas, part of which have become desert since the dawn of civilization while other parts of these areas are still being degraded by human action today. These lands are the habitat and the source of livelihood for one quarter of the world's population. They are areas characterized by the persistent natural menace of recurrent drought, a natural hazard accentuated by imbalanced management of natural resources. Particularly acute drought years in the Sahelian region of Africa from 1968 to 1973, and their tragic effects on the peoples of the region, drew worldwide attention to the problems of human survival and development in drylands, particularly on desert margins. These problems have been addressed by the United Nations (UN) General Assembly, in conformity with the Charter of the United Nations. The UN General Assembly's Resolution 3202 (vi) of 1 May 1974 recommended that the international community undertake concrete and speedy measures to arrest desertification and assist the economic development of affected areas. The Economic and Social Council's Resolution 1878 (LVII) of 16 July 1974 requested all the concerned organizations of the UN system to pursue a broad attack on the drought problem. Decisions of the Governing Councils of the UN Development Programme (UNDP) and the UN Environment Programme (UNEP) emphasized the need for undertaking measures to check the spread of desert conditions. The General Assembly then decided, by Resolution 3337 (xxix) of 17 December 1974, to initiate concerted international action to combat desertification and, in order to provide an impetus to this action, to convene a UN Conference on Desertification (UNCOD), between 29 August and 9 September 1977 in Nairobi, Kenya, which would produce an effective, comprehensive and coordinated programme for solving the problem. For the purposes of this atlas, desertification/land degradation is defined as: Land degradation in arid, semiarid and dry subhumid areas resulting mainly from adverse human impact. proprietary
-NBPalmer_Transect_and_Ross_Sea_Sulfur_Data_1 2005 NBPalmer sulfur data. Surface transect (NZ to Ross Sea) and Ross Sea depth profiles and rates ALL STAC Catalog 2004-12-17 2005-11-30 -179.488, -77.642, -166.989, -49.014 https://cmr.earthdata.nasa.gov/search/concepts/C1214590838-SCIOPS.umm_json This data set contains concentration and rate data for the following sulfur compounds: dimethylsulfide (DMS), dimethylsulfoxide (DMSO) and dimethylsulfoniopropionate (DMSP). Data were obtained in a transect from New Zealand to the Ross Sea, Antarctica, and in the Ross Sea Polynya. Data were obtained during two research cruises to the Ross Sea aboard the RIV Nathaniel B. Palmer in December 2004 to January 2005 (NBP04-09) and in October to November 2005 (NBP05-08). A data set is also provide for biological data (bacterial biomass, bacterial productivity), CTD data and GUV irradiance data obtained during our Nathanial B. Palmer (NBP) cruises to the Ross Sea in 2004 and 2005 (NBP04-09 and NBP05-08). proprietary
NBPalmer_Transect_and_Ross_Sea_Sulfur_Data_1 2005 NBPalmer sulfur data. Surface transect (NZ to Ross Sea) and Ross Sea depth profiles and rates SCIOPS STAC Catalog 2004-12-17 2005-11-30 -179.488, -77.642, -166.989, -49.014 https://cmr.earthdata.nasa.gov/search/concepts/C1214590838-SCIOPS.umm_json This data set contains concentration and rate data for the following sulfur compounds: dimethylsulfide (DMS), dimethylsulfoxide (DMSO) and dimethylsulfoniopropionate (DMSP). Data were obtained in a transect from New Zealand to the Ross Sea, Antarctica, and in the Ross Sea Polynya. Data were obtained during two research cruises to the Ross Sea aboard the RIV Nathaniel B. Palmer in December 2004 to January 2005 (NBP04-09) and in October to November 2005 (NBP05-08). A data set is also provide for biological data (bacterial biomass, bacterial productivity), CTD data and GUV irradiance data obtained during our Nathanial B. Palmer (NBP) cruises to the Ross Sea in 2004 and 2005 (NBP04-09 and NBP05-08). proprietary
+NBPalmer_Transect_and_Ross_Sea_Sulfur_Data_1 2005 NBPalmer sulfur data. Surface transect (NZ to Ross Sea) and Ross Sea depth profiles and rates ALL STAC Catalog 2004-12-17 2005-11-30 -179.488, -77.642, -166.989, -49.014 https://cmr.earthdata.nasa.gov/search/concepts/C1214590838-SCIOPS.umm_json This data set contains concentration and rate data for the following sulfur compounds: dimethylsulfide (DMS), dimethylsulfoxide (DMSO) and dimethylsulfoniopropionate (DMSP). Data were obtained in a transect from New Zealand to the Ross Sea, Antarctica, and in the Ross Sea Polynya. Data were obtained during two research cruises to the Ross Sea aboard the RIV Nathaniel B. Palmer in December 2004 to January 2005 (NBP04-09) and in October to November 2005 (NBP05-08). A data set is also provide for biological data (bacterial biomass, bacterial productivity), CTD data and GUV irradiance data obtained during our Nathanial B. Palmer (NBP) cruises to the Ross Sea in 2004 and 2005 (NBP04-09 and NBP05-08). proprietary
NCALDAS_NOAH0125_D_2.0 NCA-LDAS Noah-3.3 Land Surface Model L4 Daily 0.125 x 0.125 degree V2.0 (NCALDAS_NOAH0125_D) at GES DISC GES_DISC STAC Catalog 1979-01-02 2016-12-31 -125, 25, -67, 53 https://cmr.earthdata.nasa.gov/search/concepts/C1454297282-GES_DISC.umm_json The National Climate Assessment - Land Data Assimilation System, or NCA-LDAS, is a terrestrial water reanalysis in support of the United States Global Change Research Program's NCA activities. NCA-LDAS features high resolution, gridded, daily time series data products of terrestrial water and energy balance stores, states, and fluxes over the continental U.S., derived from land surface hydrologic modeling with multivariate assimilation of satellite Environmental Data Records (EDRs). The overall goal is to provide the highest quality terrestrial hydrology products that enable improved scientific understanding, adaptation, and management of water and related energy resources during a changing climate. An overview of NCA-LDAS and its capability for developing climate change indicators are provided in Jasinski et al. (2019). Details on the data assimilation used in NCA-LDAS are described in Kumar et al. (2019). Sample mean annual trends are provided in the NCA-LDAS V2.0 README document. This NCA-LDAS version 2.0 data product was simulated for the continental United States for the satellite era from January 1979 to December 2016. The core of NCA-LDAS is the multivariate assimilation of past and current satellite based data records within the Noah Version 3.3 land-surface model (LSM) at 1/8th degree resolution using NASA's Land Information System (LIS; Kumar et al. 2006) software framework during the Earth observing satellite era. The temporal resolution is daily. NCA-LDAS V001 data will no longer be available and have been superseded by V2.0. NCA-LDAS includes 42 variables including land-surface fluxes (e.g. precipitation, radiation and latent and sensible heat, etc.), stores (e.g. soil moisture and snow), states (e.g., surface temperature), and routing variables (e.g., runoff, streamflow, flooded area, etc.), driven by the atmospheric forcing data from North American Land Data Assimilation System Phase 2 (NLDAS-2; Xia et al., 2012). NCA-LDAS builds upon NLDAS through the addition of multivariate assimilation of earth observations such as soil moisture (Kumar et al, 2014), snow (Liu et al, 2015; Kumar et al, 2015a) and irrigation (Ozdagon et al, 2010; Kumar et al, 2015b). The EDRs that have been assimilated into the NCA-LDAS include soil moisture and snow depth from principally microwave sensors including SMMR, SSM/I, AMSR-E, ASCAT, AMSR-2, SMOS, and SMAP, irrigation intensity estimates from MODIS, and snow covered area from MODIS and from the multisensor IMS snow product. proprietary
NCALDAS_NOAH0125_Trends_2.0 NCA-LDAS Noah-3.3 Land Surface Model L4 Trends 0.125 x 0.125 degree V2.0 (NCALDAS_NOAH0125_Trends) at GES DISC GES_DISC STAC Catalog 1979-10-01 2015-09-30 -125, 25, -67, 53 https://cmr.earthdata.nasa.gov/search/concepts/C1646132439-GES_DISC.umm_json The National Climate Assessment - Land Data Assimilation System, or NCA-LDAS, is a terrestrial water reanalysis in support of the United States Global Change Research Program's NCA activities. NCA-LDAS features high resolution, gridded, daily time series data products of terrestrial water and energy balance stores, states, and fluxes over the continental U.S., derived from land surface hydrologic modeling with multivariate assimilation of satellite Environmental Data Records (EDRs). The overall goal is to provide the highest quality terrestrial hydrology products that enable improved scientific understanding, adaptation, and management of water and related energy resources during a changing climate. This dataset consists of a suite of historical trends in terrestrial hydrology over the conterminous United States estimated for the water years of 1980-2015 using the NCA-LDAS daily reanalysis. NCA-LDAS provides gridded daily outputs from the uncoupled Noah version 3.3 land surface model (LSM) at 1/8th degree resolution forced with NLDAS-2 meteorology (Xia et al., 2012), rescaled Climate Prediction Center precipitation, and assimilated satellite-based soil moisture, snow depth, and irrigation products (Jasinski et al., 2019; Kumar et al., 2019). Trends in annual hydrologic indicators are reported using the nonparametric Mann-Kendall test at p < 0.1 significance. An additional precipitation trend field (annual total), with no significance test applied, is included for comparison purposes. Collectively, these fields represent the bulk of the results presented in Jasinski et al. (2019). proprietary
NCAR_DS474.0 AARI Russian North Polar Drifting Station Data, from NSIDC SCIOPS STAC Catalog 1937-05-01 1991-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214056415-SCIOPS.umm_json This dataset consists of 31 Russian north polar drifting stations which took observations of surface variables for the periods 1937-1938 and 1950-1991. We received the latest version of this data from the Arctic and Antarctic Research Institute (AARI) via the National Snow and Ice Data Center (NSIDC). proprietary
NCAR_DS474.0 AARI Russian North Polar Drifting Station Data, from NSIDC ALL STAC Catalog 1937-05-01 1991-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214056415-SCIOPS.umm_json This dataset consists of 31 Russian north polar drifting stations which took observations of surface variables for the periods 1937-1938 and 1950-1991. We received the latest version of this data from the Arctic and Antarctic Research Institute (AARI) via the National Snow and Ice Data Center (NSIDC). proprietary
NCAR_DS510.5 A Quality-Controlled Dataset for Long-Term U.S. Snowfall Trends SCIOPS STAC Catalog 1890-01-01 2007-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214110939-SCIOPS.umm_json NCDC's U.S. Cooperative Summary of Data (DSI3200) dataset was screened for stations with long continuous observations for use in assessing 20th-century U.S. snowfall trends. The result is a subset of 424 stations with quality-controlled snowfall, precipitation, and temperature data for snow-season months (October through May). Most of the stations have observations that begin prior to the winter of 1930-31, making for station periods of longer than 77 winters. Several stations have data as far back as the 1890s. proprietary
NCAR_DS510.5 A Quality-Controlled Dataset for Long-Term U.S. Snowfall Trends ALL STAC Catalog 1890-01-01 2007-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214110939-SCIOPS.umm_json NCDC's U.S. Cooperative Summary of Data (DSI3200) dataset was screened for stations with long continuous observations for use in assessing 20th-century U.S. snowfall trends. The result is a subset of 424 stations with quality-controlled snowfall, precipitation, and temperature data for snow-season months (October through May). Most of the stations have observations that begin prior to the winter of 1930-31, making for station periods of longer than 77 winters. Several stations have data as far back as the 1890s. proprietary
-NCAR_DS744.7 ADEOS Scatterometer Winds, Level 2B SCIOPS STAC Catalog 2002-06-04 2002-06-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214055329-SCIOPS.umm_json Sea surface wind estimated by scatterometer instruments on the ADEOS satellite. JPL PO.DAAC [http://podaac.jpl.nasa.gov/] has initiated reprocessing of all ADEOS and QuikSCAT data with superior algorithms for retrievals in high wind speed and light rain areas. This reprocessing could affect this dataset. proprietary
NCAR_DS744.7 ADEOS Scatterometer Winds, Level 2B ALL STAC Catalog 2002-06-04 2002-06-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214055329-SCIOPS.umm_json Sea surface wind estimated by scatterometer instruments on the ADEOS satellite. JPL PO.DAAC [http://podaac.jpl.nasa.gov/] has initiated reprocessing of all ADEOS and QuikSCAT data with superior algorithms for retrievals in high wind speed and light rain areas. This reprocessing could affect this dataset. proprietary
+NCAR_DS744.7 ADEOS Scatterometer Winds, Level 2B SCIOPS STAC Catalog 2002-06-04 2002-06-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214055329-SCIOPS.umm_json Sea surface wind estimated by scatterometer instruments on the ADEOS satellite. JPL PO.DAAC [http://podaac.jpl.nasa.gov/] has initiated reprocessing of all ADEOS and QuikSCAT data with superior algorithms for retrievals in high wind speed and light rain areas. This reprocessing could affect this dataset. proprietary
NCAR_DS871.0 ADAPTE: Minimum and Maximum Temperature and Relative Humidity for Latin American Cities Data SCIOPS STAC Catalog 2000-01-01 2006-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214110979-SCIOPS.umm_json Temperature data classified as maximum, mean, and minimum temperature and relative humidity measures from the meteorological station located at the regional airport in Bogota and Buenos Aries, called the National Service of Hydrology and Meteorology. Mexico data was collected from the National Polytechnic Institute of Mexico and National Meteorological System. In Santiago, Chile weather data was provided by the air pollution monitoring network with stations across the city, the REDCAM2 (Red de Monitoreo Automatica de la Calidad del Aire Metropolitana) Automatic Monitoring Network of Metropolitan Air Quality. The data from these stations were averaged to obtain temperature values for the Gran Santiago region. Daily temperature and relative humidity readings were made by automatic-recording instruments. proprietary
NCAR_DS871.0 ADAPTE: Minimum and Maximum Temperature and Relative Humidity for Latin American Cities Data ALL STAC Catalog 2000-01-01 2006-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214110979-SCIOPS.umm_json Temperature data classified as maximum, mean, and minimum temperature and relative humidity measures from the meteorological station located at the regional airport in Bogota and Buenos Aries, called the National Service of Hydrology and Meteorology. Mexico data was collected from the National Polytechnic Institute of Mexico and National Meteorological System. In Santiago, Chile weather data was provided by the air pollution monitoring network with stations across the city, the REDCAM2 (Red de Monitoreo Automatica de la Calidad del Aire Metropolitana) Automatic Monitoring Network of Metropolitan Air Quality. The data from these stations were averaged to obtain temperature values for the Gran Santiago region. Daily temperature and relative humidity readings were made by automatic-recording instruments. proprietary
-NCEI DSI 1167_01_Not Applicable Active Marine Station Metadata ALL STAC Catalog 2012-05-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093639-NOAA_NCEI.umm_json The Active Marine Station Metadata is a daily metadata report for active marine bouy and C-MAN (Coastal Marine Automated Network) platforms from the National Data Buoy Center (NDBC). Metadata includes the station id, latitude/longitude (resolution to thousandths of a degree), the station name, the station owner, the program the station is associated with (e.g., TAO, NDBC, tsunami, NOS, etc.), station type (e.g., buoy, fixed, oil rig, etc.), notification if the station observes meteorology, currents, and water quality (signified by 'y' for yes and 'n' for no). If there is a 'y' associated with one of these tags, then the station has reported data in that category within the last 8 hours (or 24 hours for DART stations--Deep-Ocean Assessment Reporting of Tsunamis). If there is an 'n', data has not been received within those times. Stations are removed from the list when they are dismantled. The metadata information is written to a daily XML-formatted file. proprietary
NCEI DSI 1167_01_Not Applicable Active Marine Station Metadata NOAA_NCEI STAC Catalog 2012-05-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093639-NOAA_NCEI.umm_json The Active Marine Station Metadata is a daily metadata report for active marine bouy and C-MAN (Coastal Marine Automated Network) platforms from the National Data Buoy Center (NDBC). Metadata includes the station id, latitude/longitude (resolution to thousandths of a degree), the station name, the station owner, the program the station is associated with (e.g., TAO, NDBC, tsunami, NOS, etc.), station type (e.g., buoy, fixed, oil rig, etc.), notification if the station observes meteorology, currents, and water quality (signified by 'y' for yes and 'n' for no). If there is a 'y' associated with one of these tags, then the station has reported data in that category within the last 8 hours (or 24 hours for DART stations--Deep-Ocean Assessment Reporting of Tsunamis). If there is an 'n', data has not been received within those times. Stations are removed from the list when they are dismantled. The metadata information is written to a daily XML-formatted file. proprietary
+NCEI DSI 1167_01_Not Applicable Active Marine Station Metadata ALL STAC Catalog 2012-05-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093639-NOAA_NCEI.umm_json The Active Marine Station Metadata is a daily metadata report for active marine bouy and C-MAN (Coastal Marine Automated Network) platforms from the National Data Buoy Center (NDBC). Metadata includes the station id, latitude/longitude (resolution to thousandths of a degree), the station name, the station owner, the program the station is associated with (e.g., TAO, NDBC, tsunami, NOS, etc.), station type (e.g., buoy, fixed, oil rig, etc.), notification if the station observes meteorology, currents, and water quality (signified by 'y' for yes and 'n' for no). If there is a 'y' associated with one of these tags, then the station has reported data in that category within the last 8 hours (or 24 hours for DART stations--Deep-Ocean Assessment Reporting of Tsunamis). If there is an 'n', data has not been received within those times. Stations are removed from the list when they are dismantled. The metadata information is written to a daily XML-formatted file. proprietary
NCEI DSI 2001_01_Not Applicable Climate Forecast System Version 2 (CFSv2) Operational Forecasts NOAA_NCEI STAC Catalog 2011-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093673-NOAA_NCEI.umm_json The Climate Forecast System Version 2 (CFSv2) produced by the NOAA National Centers for Environmental Prediction (NCEP) is a fully coupled model representing the interaction between the Earth's oceans, land and atmosphere. The four-times-daily, 9-month control runs, consist of all 6-hourly forecasts, and the monthly means and variable time-series (all variables). The CFSv2 outputs include: 2-D Energetics (EGY); 2-D Surface and Radiative Fluxes (FLX); 3-D Pressure Level Data (PGB); 3-D Isentropic Level Data (IPV); 3-D Ocean Data (OCN); Low-resolution output (GRBLOW); Dumps (DMP); and High- and Low-resolution Initial Conditions (HIC and LIC). The monthly CDAS variable timeseries includes all variables. The CFSv2 period of record begins on April 1, 2011 and continues onward. CFS output is in GRIB-2 file format. proprietary
NCEI DSI 2002_01_Not Applicable Climate Forecast System Version 2 (CFSv2) Operational Analysis NOAA_NCEI STAC Catalog 2011-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093682-NOAA_NCEI.umm_json The Climate Forecast System Version 2 (CFSv2) produced by the NOAA National Centers for Environmental Prediction (NCEP) is a fully coupled model representing the interaction between the Earth's oceans, land and atmosphere. The CFSv2 Operational Analysis or Climate Data Assimilation System (CDAS), consist of all 6-Hourly CDAS, and the monthly CDAS monthly means and variable time-series (all variables). The CFSv2 outputs include: 2-D Energetics (EGY); 2-D Surface and Radiative Fluxes (FLX); 3-D Pressure Level Data (PGB); 3-D Isentropic Level Data (IPV); 3-D Ocean Data (OCN); Low-resolution output (GRBLOW); Dumps (DMP); and High- and Low-resolution Initial Conditions (HIC and LIC). The monthly CDAS variable timeseries includes all variables. The CFSv2 period of record begins on April 1, 2011 and continues onward. CFS output is in GRIB-2 file format. proprietary
NCEI DSI 3298_01 (original)_Not Applicable Climate Record Books Keyed Data NOAA_NCEI STAC Catalog 1850-01-01 1990-12-31 134, -15, -64, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2102893128-NOAA_NCEI.umm_json Climate Record Books (CRB) Data were keyed as part of the Climate Database Modernization Program (CDMP). These original keyed files as well as documentation relating to the format and keying process is available within the 3298_01 archive. The Northeast Regional Climate Center (NRCC) reformatted and performed quality control checks on the data, ensuring that the data could be used in high quality datasets and applications. Data and documentation for this data is available within the 3298_02 archive. The dataset consists of 171 stations that are located throughout the US. Variables include: maximum temperature, minimum temperature, average temperature, precipitation, and snowfall. Temporal resolution is daily, but observation times are not available for this dataset. However, data coverage varies by station. The records for individual stations range in length from 9 months to 121 years. Parts of the records may be duplicated in other, higher-priority ACIS data sources. proprietary
@@ -12119,16 +12121,16 @@ NCEI DSI 9694_01_Not Applicable Cedar Hill Tower Data NOAA_NCEI STAC Catalog 196
NCEI DSI 9715_01_Not Applicable Climatological Data National Summary (CDNS) Monthly Surface NOAA_NCEI STAC Catalog 1961-01-01 1964-12-31 134, -15, -64, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2102893102-NOAA_NCEI.umm_json These data are keyed (digitized) data from the images of the Climatological Data National Summary containing monthly summaries for cities in the United States (and territories). Variables include temperature, precipitation, station and sea level pressure, average dew point, average relative humidity, weather occurrence, wind, cloudiness/sunshine and degree days. Period of record is 1961-1964. proprietary
NCEI DSI 9795_01_Not Applicable Climate Diagnostics Data Base NOAA_NCEI STAC Catalog 1978-10-01 1983-09-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2102892556-NOAA_NCEI.umm_json The Climatic Diagnostics Database, DSI-9795, is a historical data set created by the Climate Analysis Center using global climatic data from the period October 1, 1978 through September 30, 1983. The Climate Diagnostics Database contains monthly averages of selected fields from the National Meteorological Center's (NMC; now National Centers for Environmental Prediction, NCEP) Global Data Assimilation System (GDAS). The major parameters are monthly averages of the following elements for constant pressure levels of 1000-, 850-, 700-, 500-, 300-, 250-, 200-, 100-, and 50-millibars: 1. U (West/East) component of wind (meters/second), 2. V (South/North) component of wind (meters/second), 3. Temperature (Deg. K), 4. Geopotential height (geopotential meters), 5. Vertical velocity (millibars/second), 6. Specific humidity (grams/kilogram) 7. Vorticity (seconds-1), 8. Pressure (millibars), 9. Sums squared of U (West/East) component of wind (meters/second), 10. Sums squared of V (South/North) component of wind (meters/second), 11. Sums squared of temperature (K), 12. Sums squared of geopotential height (geopotential meters). 13. Sums squared of vertical velocity (millibars/second), 14. Sums squared of specific humidity (grams/kilogram), 15. Sums squared of vertical velocity (seconds-1), 16. Sum of cross product UV wind components (m2s-2), East-West transport of poleward momentum, 17. Sum of cross product U and temperature (ms-1K), East-West transport of heat, 18. Sum of cross product U and geopotential height (ms-1gpm), East-West transport of mass, 19. Sum of cross product U and vertical velocity (mmbs-2), East-West transport of vertical momentum, 20. Sum of cross product U and specific humidity (mgs-1Kg-1), East-West transport of moisture, 21. Sum of cross product U and vorticity (ms-2), East-West transport of relative vorticity, 22. Sum of cross product V and temperature, North-South transport of heat, 23. Sum of cross product V and geopotential height (ms-1gpm), North-South transport of mass, 24. Sum of cross product V and vertical velocity (mmbs-2), North-South transport of vertical momentum, 25. Sum of cross products V and specific humidity (mgs-1Kg-1), North-South transport of moisture, 26. Sum of cross products V and vorticity (ms-2), North-South transport of relative vorticity, 27. Stretching of vortex tubes (s-2). proprietary
NCEI DSI 9796_01_Not Applicable Atmospheric Handbook Data Tables NOAA_NCEI STAC Catalog 1896-01-01 1982-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2102892524-NOAA_NCEI.umm_json Atmospheric Handbook Data Tables consists of one combined file containing 226 data files. The files contains information, programs, and data largely taken from results published in scientific journals. In general, sections of files are grouped according to the atmospheric area. Atmospheric data tables in this data set are described in World Data Center A for Meteorology and World Data Center A for Solar Terrestrial Physics Report UAG-89. Data areas cover attenuation coefficients for the atmosphere and H2O; 1962 standard atmospheres; cloud drop size distributions for water and ice spheres; solar spectral irradiance (NIMBUS and SMM satellite solar irradiance data); sky spectral radiance; Rayleigh coefficients for air; refractive indices for air, ice, liquid H2O, and various atmospheric aerosols; and relative reflectance for ice and H2O. proprietary
-NCEI DSI 9799_Not Applicable African Historical Precipitation Data NOAA_NCEI STAC Catalog 1850-01-01 1984-12-31 -25, -31, 52, 28 https://cmr.earthdata.nasa.gov/search/concepts/C2102892476-NOAA_NCEI.umm_json African Historical Precipitation Data is digital data set DSI-9799, archived at the National Climatic Data Center (NCDC). This data is a collection from various sources of data from Africa, including publications, hand-written data secured from visiting scientists, and visits to African nations. The activity was supported by funds provided by the Agency for International Development (AID). The geographic coverage is selected stations from Africa in the following regions: Subequatorial, Tropical West, Sahel, Horn. Not included are most of northern and southern Africa. The time period covered is variable; earliest is 1850 and latest is 1984. The major parameter is sequential monthly total precipitation (mm). proprietary
NCEI DSI 9799_Not Applicable African Historical Precipitation Data ALL STAC Catalog 1850-01-01 1984-12-31 -25, -31, 52, 28 https://cmr.earthdata.nasa.gov/search/concepts/C2102892476-NOAA_NCEI.umm_json African Historical Precipitation Data is digital data set DSI-9799, archived at the National Climatic Data Center (NCDC). This data is a collection from various sources of data from Africa, including publications, hand-written data secured from visiting scientists, and visits to African nations. The activity was supported by funds provided by the Agency for International Development (AID). The geographic coverage is selected stations from Africa in the following regions: Subequatorial, Tropical West, Sahel, Horn. Not included are most of northern and southern Africa. The time period covered is variable; earliest is 1850 and latest is 1984. The major parameter is sequential monthly total precipitation (mm). proprietary
+NCEI DSI 9799_Not Applicable African Historical Precipitation Data NOAA_NCEI STAC Catalog 1850-01-01 1984-12-31 -25, -31, 52, 28 https://cmr.earthdata.nasa.gov/search/concepts/C2102892476-NOAA_NCEI.umm_json African Historical Precipitation Data is digital data set DSI-9799, archived at the National Climatic Data Center (NCDC). This data is a collection from various sources of data from Africa, including publications, hand-written data secured from visiting scientists, and visits to African nations. The activity was supported by funds provided by the Agency for International Development (AID). The geographic coverage is selected stations from Africa in the following regions: Subequatorial, Tropical West, Sahel, Horn. Not included are most of northern and southern Africa. The time period covered is variable; earliest is 1850 and latest is 1984. The major parameter is sequential monthly total precipitation (mm). proprietary
NCEI DSI 9873_01_Not Applicable Baseline Surface Radiation Network (BSRN) Solar Radiation Data (Disposition Review) NOAA_NCEI STAC Catalog 1993-01-01 2008-01-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2102893059-NOAA_NCEI.umm_json "The dataset DSI 9873 is a subset of the Baseline Surface Radiation Network data monitored by NOAA ESRL Global Radiation (G-Rad) group in Boulder, Colorado. The ""STAR"" network is a name that Ells (Ellsworth Dutton, deceased) came up with for the NOAA Global Monitoring Division (formerly CMDL) radiation measurements at GMD's baseline sites at Barrow, Mauna Loa, American Samoa, Boulder Atmospheric Observatory (BAO tower), South Pole, and other sites at Kwajalein, Bermuda, and Trinidad Head (CA). Before STAR, they were just referred to as ""Baseline sites"". As the NCEI archive only contains a subset (The ""STAR"" stations continue to operate, so their data set does extend beyond 2008), users are encouraged to contact the ESRL Global Monitoring Division for the most up-to-date information. Per MACI team: The dataset DSI 9873 is a subset of the Baseline Surface Radiation Network data monitored by NOAA ESRL Global Radiation (G-Rad) group in Boulder, Colorado. Dave Longenecker is the data manager in Boulder and he provides the data to the global network (see online resource URL). In a phone conversation with Mara Sprain, 22 Aug 2016, Dave related that he didn't know we had this small subset. He had no direction to provide us with additional data. This dataset needs a submission agreement (if it's to be maintained) or it should be a candidate for removal. It's duplicated both in Boulder (FTP) and Germany (FTP and PANGAEA). From John Augustine email, 19 Aug 2016: The ""STAR"" network is a name that Ells (Ellsworth Dutton, deceased) came up with for the NOAA Global Monitoring Division (formerly CMDL) radiation measurements at GMD's baseline sites at Barrow, Mauna Loa, American Samoa, Boulder Atmospheric Observatory (BAO tower), South Pole, and other sites at Kwajalein, Bermuda, and Trinidad Head (CA). Before STAR, they were just referred to as ""Baseline sites"". When NCDC found out about these measurements (circa 2008), they requested that their data be submitted there. I wrote a program for Ells to do that and several years of data were submitted. I am not sure how up-to-date those submissions are because I don't do them. If you want metadata on the Baseline sites, you will have to contact Dave Longenecker (david.u.longenecker@noaa.gov). He has been the data manager for them for many years. Bermuda and Kwajalein have been supported by NASA, but they cut those funds this year. I am not sure whether they will continue. Bermuda has not operated for about three years because of communication problems and other issues. It will be brought back up soon. The ""STAR"" stations continue to operate, so their data set does extend beyond 2008. Data are also (?) held in Colorado archive." proprietary
NCEI DSI 9926_01_Not Applicable Bulletin W Monthly Summary Data NOAA_NCEI STAC Catalog 1891-01-01 1960-01-01 134, -15, -64, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2102893120-NOAA_NCEI.umm_json Monthly station summaries of precipitation (including snowfall), maximum temperature and minimum temperature are provided. Also included are number of days with temperature and precipitation meeting defined threshold values. Also included are extreme highest and lowest temperature, and years of record. Period of record is generally 1891-1960, with coverage in the United States, Puerto Rico, the U.S. Virgin Islands and the Pacific islands. proprietary
NCEI DSI 9949_01_Not Applicable Automation of Field Operations and Services (AFOS) National Weather Service (NWS) Service Records and Retention System (SRRS) Data NOAA_NCEI STAC Catalog 1983-05-31 2001-08-05 134, -15, -64, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2107093299-NOAA_NCEI.umm_json Service Records and Retention System (SRRS) is historical digital data set DSI-9949, a collection of products created by the U.S. National Weather Service (NWS) and archived at the National Centers for Environmental Information (NCEI) [formerly National Climatic Data Center (NCDC)]. SRRS was a network of computers and associated hardware whose purpose was to transmit and store a large number of NWS products and make them available as needed. Basic meteorological and hydrological data, analyses, forecasts, and warnings are distributed among NWS offices over the AFOS (Automation of Field Operations and Services) communications system since 1978. These include PIREP (aircraft reports from pilots), AIRMET (aeronautical meteorological bulletins), SIGMET (significant meteorological information), surface and upper air plotted unanalyzed maps, air stagnation, precipitable water, Forecasts such as wind and temperature aloft, thickness and analysis, fire weather, area, local, zone, state, agricultural advisory, and terminal; and Warnings such as marine, severe weather, hurricane and tornado. The AFOS system was developed to increase the productivity and effectiveness of NWS personnel and to increase the timeliness and quality of their warning and forecasting services. This format version of the SRRS data was archived at NCEI from 1983 to 2001 (when a new format was created). The NCEI can service requests for products from the SRRS; two types of products are available to the user: 1) graphic displays of meteorological analyses and forecast charts (limited), and 2) alphanumeric displays of narrative summaries and meteorological/hydrological data. The following is a partial list of historical SRRS products available through the NCDC: rawinsonde data above 100 MB; AIREPS buoy reports; coastal flood warning; Coast Guard surface report; climatological report (daily and misc, incl monthly reports); weather advisory Coastal Waters Forecast Center (CWSU); weather statement; 3- to 5-day extended forecast; average 6- to 10-day weather outlook (local and national); aviation area forecast winds aloft forecast; flash flood statements, watches and warnings; flood statement; flood warning forecast; medium range guidance; FOUS relative humidity/temperature guidance; FOUS prog max/min temp/POP guidance; FOUS wind/cloud guidance; Great Lakes forecast; hurricane local statement; high seas forecast; international aviation observations; local forecast; local storm report; rawinsonde observation - mandatory levels;, METAR formatted surface weather observation; marine weather statement; short term rorecast; non-precipitation warnings/watches/advisories; nearshore marine forecast (Great Lakes only), offshore aviation area forecast; offshore forecast; other marine products, other surface weather observations, pilot report plain language, ship report, state pilot report, collective recreational report; narrative radar summary radar observation; hydrology-meteorology data report; river summary; river forecast; miscellaneous river product; river recreation statement; ; regional weather summary; surface aviation observation; preliminary notice of watch and canc msg SVR; local storm watch and warning; cancelation msg SELS watch; point information message; state forecast discussion ; state forecast rawinsonde observation - significant levels; surface ship report at intermediate synoptic time; surface ship report at non-synoptic time; surface ship report at synoptic time; special weather statement international; SIGMET severe local storm watch and area outline; special marine warning; intermediate surface synoptic observation; main surface synoptic observation; severe thunderstorm warning; severe weather statement; severe storm outlook; narrative state weather summary; terminal forecast; tropical cyclone discussion; marine/aviation tropical cyclone advisory; public tropical cyclone advisory; tornado warning; transcribed weather broadcast; tropical weather discussion; tropical weather outlook and summary; AIRMET SIGMET zone forecast; terminal forecast (prior to 7/1/96); winter weather warnings, watches, advisories; marine advisory/warning; special marine warning; miscellaneous product convective SIGMET ; local ice forecast; area forecast discussion; public information statement. SRRS (DSI-9949) by the Gateway SRRS (DSI-9957; C00583). NWS products after 2001 can be obtained from those systems, from NCEI. proprietary
NCEI DSI: 2017_01_Not Applicable BP Public Release data for the Deepwater Horizon Response and Assessment in the Gulf of Mexico, dating from 2010-05-01 to 2013-09-30 NOAA_NCEI STAC Catalog 2010-05-01 2013-09-30 -98, 24, -80, 31 https://cmr.earthdata.nasa.gov/search/concepts/C2107094541-NOAA_NCEI.umm_json These BP Public Release data were gathered and utilized during the Response and Assessment phases of the Deepwater Horizon oil spill in the Gulf of Mexico. These data include datasets made public by BP that were standardize and integrated into NOAA's DIVER database. It includes discrete samples. The data were compiled by the NOAA Office of Response and Restoration (OR&R) and Trustees in the Data Integration, Visualization, Exploration, and Reporting (DIVER) data warehouse prior to being archived by the NOAA National Centers for Environmental Information (NCEI). The collection of files include environmental data used to determine the extent and magnitude of injury to the Gulf of Mexico ecosystem from the Deepwater Horizon oil spill. These data were used as part of the Programmatic Damage Assessment and Restoration Plan (PDARP) developed through the Natural Resource Damage Assessment (NRDA) conducted as a result of the April 20, 2010 explosion and subsequent sinking of the Deepwater Horizon offshore drilling rig in the Gulf of Mexico, about 40 miles (60 km) southeast off the Louisiana coast, that led to a major oil spill in the region. proprietary
NCEI WebARTIS: CARN_Not Applicable Carnegie Institution Atmospheric-Electricity and Meteorological Data NOAA_NCEI STAC Catalog 1916-01-01 1956-12-31 -172, -31, 116, 39 https://cmr.earthdata.nasa.gov/search/concepts/C2107093956-NOAA_NCEI.umm_json The Department of Terrestrial Magnetism at the Carnegie Institute of Science conducted observations of atmospheric electricity and magnetic storms. In addition to observatories in Washington DC and Tucson AZ, the Department operated observatories in Watheroo, Australia, Huancayo, Peru, and Apia, Samoa. Included are climatological records as well as potential gradient and conductivity data. Observations were conducted between 1916-1956, contained in 92 boxes. In addition to monitoring magnetic events, the observatories initially studied the variation of the electric potential and conductivity of the air, earth currents, cosmic rays, and disturbances in the Sun's chromosphere. They also provided meteorological information for the benefit of the local regions. DTM developed and supplied equipment for Huancayo and Watheroo for magnetic, electrical, cosmic ray, and seismic investigations. proprietary
NCEI WebARTIS: CCSP_Not Applicable Climate Change Science Program Collection NOAA_NCEI STAC Catalog 2007-01-01 2009-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093933-NOAA_NCEI.umm_json The Climate Change Science Program (CCSP) Collection consists of publications and other resources produced between 2007 and 2009 by the CCSP with the intention of providing sound climate science for national and international consideration to mitigate potential global change risks. The CCSP worked with a number of United States Agencies to collect climate data and research, culminating in 21 separate assessments, discussing the current state of the climate as well as expected changes and impacts. The archive only maintains a subset of these assessments. In 2009, the Program name changed to the US Global Change Research Program (USGCRP). Since 2009, USGCRP has released updated assessments to address climate change and impacts the global ecosystem. proprietary
-NCEI WebARTIS: WBAN31_Not Applicable Adiabatic Charts NOAA_NCEI STAC Catalog 1929-01-01 1995-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093259-NOAA_NCEI.umm_json WBAN-31 is a form on which the Weather Bureau, Army and Navy recorded weather observations in the upper air as observed by rawinsonde and radiosonde. The collection includes thousands of these Adiabatic Charts, with the physical archive collection beginning primarily in the 1930s and ending in the mid 1990s and represents stations located throughout the world. The major parameters presented are pressure (Mb), height of pressure level, temperature (degrees C), dew point depression (degrees C), wind direction, and wind speed (knots). In the mid-1970s, the plotting of adiabatic charts was transitioned from paper forms to digital records. Many of the records in the latter part of the collection are computer printouts rather than the historical analog forms of the early 20th century. The bulk of this collection is available only on microfilm. proprietary
NCEI WebARTIS: WBAN31_Not Applicable Adiabatic Charts ALL STAC Catalog 1929-01-01 1995-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093259-NOAA_NCEI.umm_json WBAN-31 is a form on which the Weather Bureau, Army and Navy recorded weather observations in the upper air as observed by rawinsonde and radiosonde. The collection includes thousands of these Adiabatic Charts, with the physical archive collection beginning primarily in the 1930s and ending in the mid 1990s and represents stations located throughout the world. The major parameters presented are pressure (Mb), height of pressure level, temperature (degrees C), dew point depression (degrees C), wind direction, and wind speed (knots). In the mid-1970s, the plotting of adiabatic charts was transitioned from paper forms to digital records. Many of the records in the latter part of the collection are computer printouts rather than the historical analog forms of the early 20th century. The bulk of this collection is available only on microfilm. proprietary
+NCEI WebARTIS: WBAN31_Not Applicable Adiabatic Charts NOAA_NCEI STAC Catalog 1929-01-01 1995-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093259-NOAA_NCEI.umm_json WBAN-31 is a form on which the Weather Bureau, Army and Navy recorded weather observations in the upper air as observed by rawinsonde and radiosonde. The collection includes thousands of these Adiabatic Charts, with the physical archive collection beginning primarily in the 1930s and ending in the mid 1990s and represents stations located throughout the world. The major parameters presented are pressure (Mb), height of pressure level, temperature (degrees C), dew point depression (degrees C), wind direction, and wind speed (knots). In the mid-1970s, the plotting of adiabatic charts was transitioned from paper forms to digital records. Many of the records in the latter part of the collection are computer printouts rather than the historical analog forms of the early 20th century. The bulk of this collection is available only on microfilm. proprietary
ND01_Age_Maps_1184_1 LBA-ECO ND-01 Primary Forests Land Cover Transition Maps, Rondonia, Brazil: 1975-1999 ORNL_CLOUD STAC Catalog 1975-06-19 1999-10-16 -64.64, -12.43, -61.18, -9.18 https://cmr.earthdata.nasa.gov/search/concepts/C2781575223-ORNL_CLOUD.umm_json This data set provides classified land cover transition images (maps) derived from Landsat Thematic Mapper (TM) and Multispectral Scanner (MSS) imagery for Ariquemes, Luiza, and Ji-Paranao areas in Rondonia, Brazil, at 30-m resolution. Images depict the age relative to the year 2000, of cleared land from the date the land was cut, to the date when primary forests transitioned into nonforest class (for example, 25 = cut by 1975, or 25 years before the year 2000). Temporal changes in three regions are represented by 31 TM scenes acquired between 1984 and 1999, and a pair of MSS scenes from 1975 and 1978. Data are provided as three GeoTiff (*.tif) images, one for each of the three areas. proprietary
ND01_Georectified_Products_1165_1 LBA-ECO ND-01 Landsat 28.5-m Land Cover Time Series, Rondonia, Brazil: 1984-2010 ORNL_CLOUD STAC Catalog 1984-06-24 2010-07-29 -64.6, -13.86, -58.8, -7.83 https://cmr.earthdata.nasa.gov/search/concepts/C2781412277-ORNL_CLOUD.umm_json This data set provides a 27-year land cover time series of 28.5-m resolution products derived from Landsat images for 80% of Rondonia, Brazil, for the period 1984 to 2010. Selected Landsat Thematic Mapper (TM) and Landsat Multispectral Scanner (MSS) images from the years 1984 through 2010, for seven path/row scenes (PortoVelho, Ariquemes, Jiparana, Luiza (or Urupa), Cacoal, Chapuingaia, and Vilhena) were mosaicked for each year. Each mosaicked image was georectified and classified into seven land-cover classes--savanna/rock, pasture, secondary forest, primary forest, cloud, urban, or water. This 27-year time series allows the long-term assessment of land-cover variation across the state. There are 27 GeoTIFF image files (.tif) and one accompanying .xml file for each GeoTIFF file, compressed and available as *.zip files, one file for each year for the period 1984-2010, with this data set. proprietary
ND01_Land_Cover_Maps_1259_1 LBA-ECO ND-01 Land Cover Classification, Rondonia, Brazil: 1975-2000 ORNL_CLOUD STAC Catalog 1975-06-19 2000-06-28 -64.64, -12.43, -61.18, -9.18 https://cmr.earthdata.nasa.gov/search/concepts/C2781624044-ORNL_CLOUD.umm_json This data set provides a time series of land cover classifications for Ariquemes, Ji-Parana, and Luiza, research sites in Rondonia, Brazil. The land cover classifications are derived from the Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper Plus (ETM+) sensors. The time period ranges from June 1975 through June 2000, but all areas do not have images for all the years. The images were classified into the following categories: 1. Primary upland forest, representing the dominant natural vegetation in the area; 2. Pasture and green pasture; 3. Second growth, dominated by small trees and shrubs with low species diversity and biomass relative to primary forest; 4. Soil/urban; 5. Rock/savanna; 6. Water; and 7. Cloud and smoke obscured. In addition, areas covered by rock and savanna were mapped and all areas outside of the overlap zone between all dates within a scene, and scene edges, were masked.There are 75 GeoTIFF files (.tif) with this data set which includes: classified images (*ful.tif) and a corresponding image mask (*ful_mask .tif) for each date (with the exception of 1978 and 1996 images for Ji-Parana, for which there are only ful_mask.tif files), and three mask files for rock, savannah, and scene edges, for each area. By area, there are 31 images for Ariquemes, 23 images for Ji-Parana, and 21 images for Luiza. proprietary
@@ -12184,34 +12186,34 @@ NEMSN5L2_001 NEMS/Nimbus-5 Level 2 Output Data V001 (NEMSN5L2) at GES DISC GES_D
NES-LTER_0 Northeast U.S. Shelf (NES), Long-Term Ecological Research (LTER) OB_DAAC STAC Catalog 2018-01-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208430341-OB_DAAC.umm_json The Northeast U.S. Shelf (NES) Long-Term Ecological Research (LTER) project integrates observations, experiments, and models to understand and predict how planktonic food webs are changing, and how those changes impact the productivity of higher trophic levels. The NES-LTER is co-located with the Northeast U.S. Continental Shelf Large Marine Ecosystem, spanning the Middle Atlantic Bight and Gulf of Maine. Our focal cross-shelf transect extends about 150 km southward from Martha's Vineyard, MA, to just beyond the shelf break. proprietary
NESP_2015_SRW 2015 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia SCIOPS STAC Catalog 2015-02-09 2015-07-09 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1381760732-SCIOPS.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in September 2015. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 23-year period 1993-2015. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the ?western? Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the ?eastern? subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected ?western? count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. proprietary
NESP_2015_SRW 2015 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia ALL STAC Catalog 2015-02-09 2015-07-09 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1381760732-SCIOPS.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in September 2015. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 23-year period 1993-2015. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the ?western? Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the ?eastern? subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected ?western? count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. proprietary
-NESP_2015_SRW_3 2015 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia ALL STAC Catalog 2015-02-09 2015-07-09 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1333031622-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in September 2015. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 23-year period 1993-2015. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. A data update was provided in August, 2020 to correct some incorrectly given longitude values. proprietary
NESP_2015_SRW_3 2015 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia AU_AADC STAC Catalog 2015-02-09 2015-07-09 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1333031622-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in September 2015. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 23-year period 1993-2015. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. A data update was provided in August, 2020 to correct some incorrectly given longitude values. proprietary
-NESP_2016_SRW_3 2016 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia AU_AADC STAC Catalog 2016-08-24 2016-08-29 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1412710076-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2016. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 23-year period 1993-2016. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. A data update was provided in August, 2020 to correct some incorrectly given longitude values. proprietary
+NESP_2015_SRW_3 2015 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia ALL STAC Catalog 2015-02-09 2015-07-09 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1333031622-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in September 2015. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 23-year period 1993-2015. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. A data update was provided in August, 2020 to correct some incorrectly given longitude values. proprietary
NESP_2016_SRW_3 2016 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia ALL STAC Catalog 2016-08-24 2016-08-29 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1412710076-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2016. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 23-year period 1993-2016. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. A data update was provided in August, 2020 to correct some incorrectly given longitude values. proprietary
+NESP_2016_SRW_3 2016 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia AU_AADC STAC Catalog 2016-08-24 2016-08-29 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1412710076-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2016. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 23-year period 1993-2016. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. A data update was provided in August, 2020 to correct some incorrectly given longitude values. proprietary
NESP_2017_SRW_1 2017 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia ALL STAC Catalog 2017-08-23 2017-08-27 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1968847804-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2017. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 25-year period 1993-2017. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future proprietary
NESP_2017_SRW_1 2017 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia AU_AADC STAC Catalog 2017-08-23 2017-08-27 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1968847804-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2017. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 25-year period 1993-2017. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future proprietary
-NESP_2018_SRW_1 2018 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia AU_AADC STAC Catalog 2018-08-18 2018-08-23 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1968847807-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2018. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 26-year period 1993-2018. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. proprietary
NESP_2018_SRW_1 2018 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia ALL STAC Catalog 2018-08-18 2018-08-23 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1968847807-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2018. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 26-year period 1993-2018. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. proprietary
-NESP_2019_SRW_1 2019 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia AU_AADC STAC Catalog 2019-08-18 2019-08-24 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1968847810-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2019. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 27-year period 1993-2019. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. proprietary
+NESP_2018_SRW_1 2018 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia AU_AADC STAC Catalog 2018-08-18 2018-08-23 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1968847807-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2018. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 26-year period 1993-2018. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. proprietary
NESP_2019_SRW_1 2019 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia ALL STAC Catalog 2019-08-18 2019-08-24 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1968847810-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2019. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 27-year period 1993-2019. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. proprietary
+NESP_2019_SRW_1 2019 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia AU_AADC STAC Catalog 2019-08-18 2019-08-24 113.02734, -36.59789, 138.69141, -29.993 https://cmr.earthdata.nasa.gov/search/concepts/C1968847810-AU_AADC.umm_json These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2019. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 27-year period 1993-2019. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future. proprietary
NEUROST_SSH-SST_L4_V2024.0_2024.0 Daily NeurOST L4 Sea Surface Height and Surface Geostrophic Currents POCLOUD STAC Catalog 2010-01-01 2024-06-15 -180, -70, 180, 79.9 https://cmr.earthdata.nasa.gov/search/concepts/C3085229833-POCLOUD.umm_json This Daily NeurOST Level 4 Sea Surface Height and Surface Geostrophic Currents analysis product from the University of Washington and JPL was mapped by a neural network trained with sparse Level 3 nadir altimetry observations (CMEMS, E.U. Copernicus Marine Service Information) and the MUR Level 4 gridded sea surface temperature product (PO.DAAC). proprietary
NEWS_WEB_ACLIM_1.0 NASA Energy and Water cycle Study (NEWS) Annual Climatology of the 1st decade of the 21st Century V1.0 (NEWS_WEB_ACLIM) at GES DISC GES_DISC STAC Catalog 1998-01-01 2010-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1233781718-GES_DISC.umm_json NASA Energy and Water cycle Study (NEWS) Climatology of the 1st decade of the 21st Century Dataset summarizes the original observationally-based mean fluxes of water and energy budget components during the first decade of the 21st Century, for each continent and ocean basin on monthly and annual scales as well as means over all oceans, all continents, and the globe. A careful accounting of uncertainty in the estimates is included. Also, it includes optimized versions of all component fluxes that simultaneously satisfy energy and water cycle balance constraints. The NEWS Climatology contains two data products: an annual climatology data product and a monthly climatology data product. This data product is the annual climatology product. The climatology base period is roughly 1998-2010, where individual datasets cover various periods starting as early as 1998 and as late as 2002, not all extending to 2010. The continents and ocean basins boundaries map is used in this study to compute regional means. The ocean basin data was provided by Kyle Hilburn and Chelle Gentemann at Remote Sensing Systems. The land portion and some inland water bodies of the data are delineated into continents according to general definitions found in Wikipedia and relevant past studies. The data are distributed with four different units (1000 km^3/year, W/m^2, cm/year, and mm/day), in three formats (NetCDF, xlsx, and csv). proprietary
NEWS_WEB_MCLIM_1.0 NASA Energy and Water cycle Study (NEWS) Monthly Climatology of the 1st decade of the 21st Century V1.0 (NEWS_WEB_MCLIM) at GES DISC GES_DISC STAC Catalog 1998-01-01 2010-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1233781717-GES_DISC.umm_json NASA Energy and Water cycle Study (NEWS) Climatology of the 1st decade of the 21st Century Dataset summarizes the original observationally-based mean fluxes of water and energy budget components during the first decade of the 21st Century, for each continent and ocean basin on monthly and annual scales as well as means over all oceans, all continents, and the globe. A careful accounting of uncertainty in the estimates is included. Also, it includes optimized versions of all component fluxes that simultaneously satisfy energy and water cycle balance constraints. The NEWS Climatology contains two data products: an annual climatology data product and a monthly climatology data product. This data product is the monthly climatology product. The climatology base period is roughly 1998-2010, where individual datasets cover various periods starting as early as 1998 and as late as 2002, not all extending to 2010. The continents and ocean basins boundaries map is used in this study to compute regional means. The ocean basin data was provided by Kyle Hilburn and Chelle Gentemann at Remote Sensing Systems. The land portion and some inland water bodies of the data are delineated into continents according to general definitions found in Wikipedia and relevant past studies. The data are distributed with four different units (1000 km^3/month, W/m^2, cm/month, and mm/day), in three formats (NetCDF, xlsx, and csv). proprietary
NEX-DCP30_1 Downscaled 30 Arc-Second CMIP5 Climate Projections for Studies of Climate Change Impacts in the United States NCCS STAC Catalog 1950-01-01 2099-12-31 -125.0208333, 24.0625, -66.4791667, 49.9375 https://cmr.earthdata.nasa.gov/search/concepts/C1542175061-NCCS.umm_json This NASA dataset is provided to assist the science community in conducting studies of climate change impacts at local to regional scales, and to enhance public understanding of possible future climate patterns and climate impacts at the scale of individual neighborhoods and communities. This dataset is intended for use in scientific research only, and use of this dataset for other purposes, such as commercial applications, and engineering or design studies is not recommended without consultation with a qualified expert. Community feedback to improve and validate the dataset for modeling usage is appreciated. Email comments to bridget@climateanalyticsgroup.org. Dataset File Name: NASA Earth Exchange (NEX) Downscaled Climate Projections (NEXDCP30), https://portal.nccs.nasa.gov/portal_home/published/NEX.html proprietary
NEX-GDDP_1 NASA Earth Exchange Global Daily Downscaled Projections NCCS STAC Catalog 1950-01-01 2100-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1374483929-NCCS.umm_json The NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset is comprised of downscaled climate scenarios for the globe that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) and across two of the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs). The CMIP5 GCM runs were developed in support of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). The NEX-GDDP dataset includes downscaled projections for RCP 4.5 and RCP 8.5 from the 21 models and scenarios for which daily scenarios were produced and distributed under CMIP5. Each of the climate projections includes daily maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2100. The spatial resolution of the dataset is 0.25 degrees (~25 km x 25 km). The NEX-GDDP dataset is provided to assist the science community in conducting studies of climate change impacts at local to regional scales, and to enhance public understanding of possible future global climate patterns at the spatial scale of individual towns, cities, and watersheds. Each of the climate projections includes monthly averaged maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2005 (Retrospective Run) and from 2006 to 2099 (Prospective Run). proprietary
NFRDI_0 National Fisheries Research and Development Institute (NFRDI) OB_DAAC STAC Catalog 2000-02-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360518-OB_DAAC.umm_json Measurements made by the National Fisheries Research and Development Institute (NFRDI), Ministry of Oceans and Fisheries for Korea, in the East China Sea in 2000. proprietary
-"NGA178
- _1.0" Advanced Terrestrial Simulator SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108388528-SCIOPS.umm_json The Advanced Terrestrial Simulator (formerly sometimes known as the Arctic Terrestrial Simulator) is a code for solving ecosystem-based, integrated, distributed hydrology. Capabilities are largely based on solving various forms of Richards equation coupled to a surface flow equation, along with the needed sources and sinks for ecosystem and climate models. This can (but need not) include thermal processes (especially ice for frozen soils), evapo-transpiration, albedo-driven surface energy balances, snow, biogeochemistry, plant dynamics, deformation, transport, and much more. proprietary
"NGA178
_1.0" Advanced Terrestrial Simulator ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108388528-SCIOPS.umm_json The Advanced Terrestrial Simulator (formerly sometimes known as the Arctic Terrestrial Simulator) is a code for solving ecosystem-based, integrated, distributed hydrology. Capabilities are largely based on solving various forms of Richards equation coupled to a surface flow equation, along with the needed sources and sinks for ecosystem and climate models. This can (but need not) include thermal processes (especially ice for frozen soils), evapo-transpiration, albedo-driven surface energy balances, snow, biogeochemistry, plant dynamics, deformation, transport, and much more. proprietary
+"NGA178
+ _1.0" Advanced Terrestrial Simulator SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108388528-SCIOPS.umm_json The Advanced Terrestrial Simulator (formerly sometimes known as the Arctic Terrestrial Simulator) is a code for solving ecosystem-based, integrated, distributed hydrology. Capabilities are largely based on solving various forms of Richards equation coupled to a surface flow equation, along with the needed sources and sinks for ecosystem and climate models. This can (but need not) include thermal processes (especially ice for frozen soils), evapo-transpiration, albedo-driven surface energy balances, snow, biogeochemistry, plant dynamics, deformation, transport, and much more. proprietary
"NGA183
_1.0" Active Layer Hydrology in an Arctic Tundra Ecosystem: Quantifying Water Sources and Cycling Using Water Stable Isotopes: Supporting Data ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108388529-SCIOPS.umm_json Data include results from water isotope analyses (one *.csv file) for samples collected in Utqiagvik (Barrow), Alaska during August and September 2012. Samples were from surface and soil pore waters from 17 drainages that could be interlake (basins with polygonal terrain), different-aged drain thaw lake basins (young, medium, old, or ancient), or a combination of different aged basins. Samples taken in different drainage flow types at three different depths at each location in and around the Barrow Environmental Observatory. Precipitation stable isotope data are also included (added in October 2019 with no changes to previously released data). This dataset used in Throckmorton, et.al. 2016.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy’s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM). proprietary
"NGA183
_1.0" Active Layer Hydrology in an Arctic Tundra Ecosystem: Quantifying Water Sources and Cycling Using Water Stable Isotopes: Supporting Data SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108388529-SCIOPS.umm_json Data include results from water isotope analyses (one *.csv file) for samples collected in Utqiagvik (Barrow), Alaska during August and September 2012. Samples were from surface and soil pore waters from 17 drainages that could be interlake (basins with polygonal terrain), different-aged drain thaw lake basins (young, medium, old, or ancient), or a combination of different aged basins. Samples taken in different drainage flow types at three different depths at each location in and around the Barrow Environmental Observatory. Precipitation stable isotope data are also included (added in October 2019 with no changes to previously released data). This dataset used in Throckmorton, et.al. 2016.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy’s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM). proprietary
-"NGA232
- _1.0" A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra: Supporting Data ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108388919-SCIOPS.umm_json Remote sensing data collected from Brookhaven National Laboratory’s (BNL) heavy-lift unoccupied aerial system (UAS) octocopter platform – the Osprey – operated by the Terrestrial Ecosystem Science and Technology (TEST) group. Data was collected from a single flight over the Kougarok hillslope site on 26 July, 2018. The Osprey is a multi-sensor UAS platform that simultaneously measures very high spatial resolution optical red/green/blue (RGB) and thermal infrared (TIR) surface “skin” temperature imagery, as well as surface reflectance at 1nm intervals in the visible to near-infrared spectral range from ~350-1000 nm measured at regular intervals along each flight path. Derived image products include ortho-mosaiced RGB and TIR images, an RGB-based digital surface model (DSM) using the structure from motion (SfM) technique, digital terrain model (DTM), and a canopy height model. Ancillary aircraft data, flight mission parameters, and general flight conditions are also included. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy’s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM). proprietary
"NGA232
_1.0" A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra: Supporting Data SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108388919-SCIOPS.umm_json Remote sensing data collected from Brookhaven National Laboratory’s (BNL) heavy-lift unoccupied aerial system (UAS) octocopter platform – the Osprey – operated by the Terrestrial Ecosystem Science and Technology (TEST) group. Data was collected from a single flight over the Kougarok hillslope site on 26 July, 2018. The Osprey is a multi-sensor UAS platform that simultaneously measures very high spatial resolution optical red/green/blue (RGB) and thermal infrared (TIR) surface “skin” temperature imagery, as well as surface reflectance at 1nm intervals in the visible to near-infrared spectral range from ~350-1000 nm measured at regular intervals along each flight path. Derived image products include ortho-mosaiced RGB and TIR images, an RGB-based digital surface model (DSM) using the structure from motion (SfM) technique, digital terrain model (DTM), and a canopy height model. Ancillary aircraft data, flight mission parameters, and general flight conditions are also included. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy’s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM). proprietary
+"NGA232
+ _1.0" A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra: Supporting Data ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108388919-SCIOPS.umm_json Remote sensing data collected from Brookhaven National Laboratory’s (BNL) heavy-lift unoccupied aerial system (UAS) octocopter platform – the Osprey – operated by the Terrestrial Ecosystem Science and Technology (TEST) group. Data was collected from a single flight over the Kougarok hillslope site on 26 July, 2018. The Osprey is a multi-sensor UAS platform that simultaneously measures very high spatial resolution optical red/green/blue (RGB) and thermal infrared (TIR) surface “skin” temperature imagery, as well as surface reflectance at 1nm intervals in the visible to near-infrared spectral range from ~350-1000 nm measured at regular intervals along each flight path. Derived image products include ortho-mosaiced RGB and TIR images, an RGB-based digital surface model (DSM) using the structure from motion (SfM) technique, digital terrain model (DTM), and a canopy height model. Ancillary aircraft data, flight mission parameters, and general flight conditions are also included. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy’s Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy’s Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM). proprietary
NGLI_Lake_Bourne_0 Northern Gulf Littoral Initiative (NGLI) measurements in Lake Bourne, Louisiana OB_DAAC STAC Catalog 2001-04-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360520-OB_DAAC.umm_json Measurements made under the Northern Gulf Littoral Initiative (NGLI) in the Gulf of Mexico near the Mississippi River outflow region in 2001. proprietary
NHAP National High Altitude Photography USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566467-USGS_LTA.umm_json The National High Altitude Photography (NHAP) program, which was operated from 1980 - 1989, was coordinated by the U.S. Geological Survey as an interagency project to eliminate duplicate photography in various Government programs. The aim of the program was to cover the 48 conterminous states of the USA over a 5-year span. In the NHAP program, black-and-white and color-infrared aerial photographs were obtained on 9-inch film from an altitude of 40,000 feet above mean terrain elevation and are centered over USGS 7.5-minute quadrangles. The color-infrared photographs are at a scale of 1:58,000 (1 inch equals about .9 miles) and the black-and-white photographs are at a scale of 1:80,000 (1 inch equals about 1.26 miles). proprietary
NHICEM_001 Northern Hemisphere Ice Cover Monthly Statistics at 1 Degree Resolution V001 (NHICEM) at GES DISC GES_DISC STAC Catalog 2000-01-01 2014-11-30 -180, 0, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239898024-GES_DISC.umm_json This product is monthly Ice Cover Statistics. The dataset was prepared by Dr. Peter Romanov at Cooperative Institute for Climate Studies(CICS) of the University of Maryland for Northern Eurasia Earth Science Partnership Initiative (NEESPI) program. The product includes the monthly ice statistics (frequency of occurrence) for Northern Hemisphere at 1x1 degree spatial resolution. The dataset covers the time period starting January 2000 to November 2014. The data was derived from daily ice cover charts produced at NOAA/NESDIS within Interactive Multisensor Ice Mapping System (IMS). proprietary
@@ -12223,10 +12225,10 @@ NIMBUS7_ERB_SEFDT_1 Nimbus-7 Solar and Earth Flux Data in Native Binary Format L
NIMBUS7_NFOV_MLCE_1 Nimbus-7 Narrow Field of View (NFOV) Maximum Likelihood Cloud Estimation (MLCE) Data in Native Format LARC_ASDC STAC Catalog 1979-05-01 1980-05-31 180, -90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1328028152-LARC_ASDC.umm_json NIMBUS7_NFOV_MLCE data are Nimbus 7 Narrow Field of View (NFOV) Maximum Likelihood Cloud Estimation (MLCE) Data in Native Format.The NIMBUS7_NFOV_MLCE data set uses the Nimbus-7 measurements and the MLCE algorithm for better regional and temporal resolution. The Earth Radiation Budget (ERB) parameters, derived from the Nimbus-7 scanner measurements, were rederived in 1990 using a Maximum Likelihood Cloud Estimation (MLCE) algorithm similar, but not identical, to the Earth Radiation Budget Experiment (ERBE) algorithm. Daily and monthly means are presented on two commensurate equal area world grids: (167 km by 167 km) and (500 km by 500 km). The MLCE procedure also yielded a rough estimate of the regional cloud cover.The scanner took measurements from November 16, 1978 through June 20, 1980; however, only 13 months (May 1979 through May 1980) of data sampling were reprocessed using the Sorting into Angular Bins and MLCE algorithms. There was poorer temporal sampling during the first five months of the experiment.The Nimbus 7 research-and-development satellite served as a stabilized, earth-oriented platform for the testing of advanced systems for sensing and collecting data in the pollution, oceanographic and meteorological disciplines. The polar-orbiting spacecraft consisted of three major structures: (1) a hollow torus-shaped sensor mount, (2) solar paddles, and (3) a control housing unit that was connected to the sensor mount by a tripod truss structure. proprietary
NIPR-GEO-1 Airborne Magnetic Survey Data in Antarctica by JARE ALL STAC Catalog 1980-01-01 20, -72, 60, -68 https://cmr.earthdata.nasa.gov/search/concepts/C1214584952-SCIOPS.umm_json The digital data which can be supplied are total intensity raw data, and not reduced to magnetic anomaly data. However, the user can analyze the data by him/herself with the Data Reports. The data processing is still being made at NIPR. proprietary
NIPR-GEO-1 Airborne Magnetic Survey Data in Antarctica by JARE SCIOPS STAC Catalog 1980-01-01 20, -72, 60, -68 https://cmr.earthdata.nasa.gov/search/concepts/C1214584952-SCIOPS.umm_json The digital data which can be supplied are total intensity raw data, and not reduced to magnetic anomaly data. However, the user can analyze the data by him/herself with the Data Reports. The data processing is still being made at NIPR. proprietary
-NIPR_GEO_SEIS_SEAL_MIZUHO Acitve source digital seismic waveforms by SEAL exploration ALL STAC Catalog 2000-01-01 38, -70, 45, -68 https://cmr.earthdata.nasa.gov/search/concepts/C1214590137-SCIOPS.umm_json "Deep Seismic Surveys (DSS) were carried out in 2000 and 2002 austral summers on the continental ice-sheet of the Lutzow-Holm Complex (LHC), Eastern Dronning Maud Land, East Antarctica . The surveys were carried out as a program of the ""Structure and Evolution of the East Antarctic Lithosphere (SEAL)"" by JARE. Detailed crustal velocity models and reflection sections were obtained in the LHC. In both surveys, more than 170 plant-type 2 Hz geophones were installed on the continental ice-sheet totally 190 km in length. A total of 8,300kg dynamite charge at the fourteen sites on the Mizuho Plateau gave information concerning the deep structure of a continental margin of the LHC. Archived digital waveforms are available from Library Server of Polar Data Center of NIPR." proprietary
NIPR_GEO_SEIS_SEAL_MIZUHO Acitve source digital seismic waveforms by SEAL exploration SCIOPS STAC Catalog 2000-01-01 38, -70, 45, -68 https://cmr.earthdata.nasa.gov/search/concepts/C1214590137-SCIOPS.umm_json "Deep Seismic Surveys (DSS) were carried out in 2000 and 2002 austral summers on the continental ice-sheet of the Lutzow-Holm Complex (LHC), Eastern Dronning Maud Land, East Antarctica . The surveys were carried out as a program of the ""Structure and Evolution of the East Antarctic Lithosphere (SEAL)"" by JARE. Detailed crustal velocity models and reflection sections were obtained in the LHC. In both surveys, more than 170 plant-type 2 Hz geophones were installed on the continental ice-sheet totally 190 km in length. A total of 8,300kg dynamite charge at the fourteen sites on the Mizuho Plateau gave information concerning the deep structure of a continental margin of the LHC. Archived digital waveforms are available from Library Server of Polar Data Center of NIPR." proprietary
-NIPR_PMG_AIR_ARCHIVE_ANT Air samples for archive SCIOPS STAC Catalog 1995-02-01 2009-01-31 39.5, -69, 39.5, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214590122-SCIOPS.umm_json Air samples for archive proprietary
+NIPR_GEO_SEIS_SEAL_MIZUHO Acitve source digital seismic waveforms by SEAL exploration ALL STAC Catalog 2000-01-01 38, -70, 45, -68 https://cmr.earthdata.nasa.gov/search/concepts/C1214590137-SCIOPS.umm_json "Deep Seismic Surveys (DSS) were carried out in 2000 and 2002 austral summers on the continental ice-sheet of the Lutzow-Holm Complex (LHC), Eastern Dronning Maud Land, East Antarctica . The surveys were carried out as a program of the ""Structure and Evolution of the East Antarctic Lithosphere (SEAL)"" by JARE. Detailed crustal velocity models and reflection sections were obtained in the LHC. In both surveys, more than 170 plant-type 2 Hz geophones were installed on the continental ice-sheet totally 190 km in length. A total of 8,300kg dynamite charge at the fourteen sites on the Mizuho Plateau gave information concerning the deep structure of a continental margin of the LHC. Archived digital waveforms are available from Library Server of Polar Data Center of NIPR." proprietary
NIPR_PMG_AIR_ARCHIVE_ANT Air samples for archive ALL STAC Catalog 1995-02-01 2009-01-31 39.5, -69, 39.5, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214590122-SCIOPS.umm_json Air samples for archive proprietary
+NIPR_PMG_AIR_ARCHIVE_ANT Air samples for archive SCIOPS STAC Catalog 1995-02-01 2009-01-31 39.5, -69, 39.5, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214590122-SCIOPS.umm_json Air samples for archive proprietary
NISE_2 Near-Real-Time SSM/I EASE-Grid Daily Global Ice Concentration and Snow Extent V002 NSIDC_ECS STAC Catalog 1995-05-04 2009-09-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1647528934-NSIDC_ECS.umm_json "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation. This NISE Version 2 product contains SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager (SSM/I) aboard the Defense Meteorological Satellite Program (DMSP) F13 satellite. For DMSP-F16, SSMIS-derived data, see NISE Version 3. For DMSP-F17, SSMIS-derived data, see NISE Version 4. For DMSP-F18, SSMIS-derived data, see NISE Version 5." proprietary
NISE_3 Near-Real-Time SSM/I-SSMIS EASE-Grid Daily Global Ice Concentration and Snow Extent V003 NSIDC_ECS STAC Catalog 2012-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1997866870-NSIDC_ECS.umm_json "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation. This NISE Version 3 product contains DMSP-F16, SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F16 satellite. For DMSP-F18, SSMIS-derived data, see NISE Version 5. For DMSP-F17, SSMIS-derived data, see NISE Version 4. For the older, DMSP-F13, Special Sensor Microwave Imager (SSMI) derived data, see NISE Version 2." proprietary
NISE_4 Near-Real-Time SSM/I-SSMIS EASE-Grid Daily Global Ice Concentration and Snow Extent V004 NSIDC_ECS STAC Catalog 2009-08-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1450086509-NSIDC_ECS.umm_json "The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation. This NISE Version 4 product contains DMSP-F17, SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F17 satellite. For DMSP-F16, SSMIS-derived data, see NISE Version 3. For DMSP-F18, SSMIS-derived data, see NISE Version 5. For the older, DMSP-F13, Special Sensor Microwave Imager (SSMI) derived data, see NISE Version 2." proprietary
@@ -12356,10 +12358,10 @@ NPP_WBW_819_2 Walker Branch Watershed Vegetation Inventory, 1967-2006, R1 ORNL_C
NPP_WOODY_655_2 NPP Multi-Biome: Production and Mortality for Eastern US Forests, 1962-1996, R1 ORNL_CLOUD STAC Catalog 1962-01-01 1996-12-31 -100, 25, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C2755666809-ORNL_CLOUD.umm_json There are two data files (tab-delimited .txt format) with this data set that provide estimates of above-ground biomass per county; county-level annual above-ground biomass growth, removals (harvest), and mortality of woody biomass per hectare; county-level total annual above-ground woody biomass production per hectare; forest area per county; mortality (%) in forests within each county; and total annual production and mortality per county. The data provide annual mean above-ground wood increments for temperate forests in 1,956 counties of the 28 eastern US states. The data are derived from forest inventory data from 1960s to 1990s that were collected from an extensive network of permanent inventory plots as part of the US Department of Agriculture Forest Service Forest Inventory and Analysis (FIA). Based on the analysis of the above-ground production data (Brown and Schroeder, 1999), above-ground production of woody biomass (APWB) for hardwood forests ranged from 0.6 to 28 Mg/ha/yr and averaged 5.2 Mg/ha/yr. For softwood forests, APWB ranged from 0.2 to 31 Mg/ha/yr and averaged 4.9 Mg/ha/yr. APWB was generally highest in southeastern and southern counties, mostly along an arc from southern Virginia to Louisiana and eastern Texas. No clear spatial pattern of mortality of woody biomass (MWB) existed, except for a distinct area of high mortality in South Carolina as a result of Hurricane Hugo in 1989. For hardwood forests, MWB ranged from 0 to 15 Mg/ha/yr and averaged 1.1 Mg/ha/yr. The average MWB for softwood forests was 0.6 Mg/ha/yr with a range of 0 to 10 Mg/ha/yr. The rate of above-ground MWB averaged <1%/yr for both hardwood and softwood forests. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2003. proprietary
NPP_XLN_156_2 NPP Grassland: Xilingol, China, 1980-1989, R1 ORNL_CLOUD STAC Catalog 1978-01-01 1989-12-31 116.63, 43.72, 116.63, 43.72 https://cmr.earthdata.nasa.gov/search/concepts/C2751940176-ORNL_CLOUD.umm_json This data set provides two data files in text format (.txt). One file contains bi-weekly measurements of above-ground live biomass recorded during the growing season (early May to early October) from 1980 through 1989 on a cold desert steppe at the Inner Mongolia Grassland Research Station of the Chinese Academy of Sciences within the Xilingol Biosphere Reserve. The second file contains monthly and annual climate data recorded at the study site from 1978 through 1989. The study site contains grassland steppes of Leymus chinense and Stipa grandis which are the dominant vegetation types, respectively, in the Eastern Eurasian steppe zone (semi-arid and sub-humid) and the middle Eurasian steppe zone (semi-arid). Both steppes provide good livestock forage and are used mainly as natural grazing lands. Above-ground net primary production (ANPP) was estimated by summing peak live biomass of each of 5 species categories. Peak live biomass of L. chinense steppe occurred between late July and late August and averaged 182.68 g/m2 between 1980 and 1988 while that of S. grandis steppe occurred in mid August to early September and averaged 144.43 g/m2 over the same time period. Mean ANPP for L. chinense steppe during 1980-1989 was 248.63 g/m2/yr. ANPP for S. grandis steppe was not calculated. Data are only provided for the Leymus chinense steppe in this data set.Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1996. proprietary
NPP_surfaces_750_1 BigFoot NPP Surfaces for North and South American Sites, 2000-2004 ORNL_CLOUD STAC Catalog 2000-01-01 2004-12-31 -156.61, -2.86, -54.96, 71.27 https://cmr.earthdata.nasa.gov/search/concepts/C2751481549-ORNL_CLOUD.umm_json The BigFoot project gathered Net Primary Production (NPP) data for nine EOS Land Validation Sites located from Alaska to Brazil from 2000 to 2004. Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, evergreen needleleaf forest, and deciduous broadleaf forest; desert grassland and shrubland; and tropical evergreen broadleaf forest. BigFoot was funded by NASA's Terrestrial Ecology Program.For more details on the BigFoot Project, please visit the website: http://www.fsl.orst.edu/larse/bigfoot/index.html. proprietary
-NPS_YNP_30M_DEM 30 Meter DEM of Yellowstone National Park ALL STAC Catalog 1970-01-01 -112, 44, -109, 46 https://cmr.earthdata.nasa.gov/search/concepts/C1214607703-SCIOPS.umm_json Digital Elevation Models are useful for deriving elevations; modeling 3D surfaces; creating derived products such as slope, aspect, and relief layers; creating watersheds and conducting watershed analyses; and conducting other types of terrain analyses. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The 7.5-minute DEM (30- by 30-m cell size, in a Universal Transverse Mercator (UTM) projection) provides coverage in 7.5- by 7.5-minute blocks. Each product provides the same coverage as a standard USGS 7.5-minute quadrangle without over edge. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals.The Yellowstone National Park 30 m DEM was compiled from a combination of of Level I and II USGS 30 m DEMs, elevation values range from 1528 to 4186, describing 1528 - 4186 meters. The parkwide DEM was compiled by Lisa Landenburger, Geographic Information and Analysis Center (GIAC), Montana State University, Bozeman, MT. This data set is unpublished. material. This summary was abstracted from the FGDC metadata file. proprietary
NPS_YNP_30M_DEM 30 Meter DEM of Yellowstone National Park SCIOPS STAC Catalog 1970-01-01 -112, 44, -109, 46 https://cmr.earthdata.nasa.gov/search/concepts/C1214607703-SCIOPS.umm_json Digital Elevation Models are useful for deriving elevations; modeling 3D surfaces; creating derived products such as slope, aspect, and relief layers; creating watersheds and conducting watershed analyses; and conducting other types of terrain analyses. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The 7.5-minute DEM (30- by 30-m cell size, in a Universal Transverse Mercator (UTM) projection) provides coverage in 7.5- by 7.5-minute blocks. Each product provides the same coverage as a standard USGS 7.5-minute quadrangle without over edge. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals.The Yellowstone National Park 30 m DEM was compiled from a combination of of Level I and II USGS 30 m DEMs, elevation values range from 1528 to 4186, describing 1528 - 4186 meters. The parkwide DEM was compiled by Lisa Landenburger, Geographic Information and Analysis Center (GIAC), Montana State University, Bozeman, MT. This data set is unpublished. material. This summary was abstracted from the FGDC metadata file. proprietary
-NPWRC_alienplantsrankingsystem_version 5.1, Version 30 Sep 2002 Alien Plants Ranking System (APRS) Implementation Team CEOS_EXTRA STAC Catalog 1970-01-01 -115, 30, -85, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2231551762-CEOS_EXTRA.umm_json The Alien Plants Ranking System (APRS) is a computer-implemented system to help land managers make difficult decisions concerning invasive nonnative plants. The management of invasive plants is difficult, expensive, and requires a long-term commitment. Therefore, land managers must focus their limited resources, targeting the species that cause major impacts or threats to resources within their management, or the species that impede attainment of management goals. APRS provides an analytical tool to separate the innocuous species from the invasive ones (typically around 10% of the nonnative species). APRS not only helps identify those species that currently impact a site, but also those that have a high potential do so in the future. Finally, the system addresses the feasibility of control of each species, enabling the manager to weigh the costs of control against the level of impact. This system has been developed and tested primarily in grassland and prairie parks in the central United States. proprietary
+NPS_YNP_30M_DEM 30 Meter DEM of Yellowstone National Park ALL STAC Catalog 1970-01-01 -112, 44, -109, 46 https://cmr.earthdata.nasa.gov/search/concepts/C1214607703-SCIOPS.umm_json Digital Elevation Models are useful for deriving elevations; modeling 3D surfaces; creating derived products such as slope, aspect, and relief layers; creating watersheds and conducting watershed analyses; and conducting other types of terrain analyses. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The 7.5-minute DEM (30- by 30-m cell size, in a Universal Transverse Mercator (UTM) projection) provides coverage in 7.5- by 7.5-minute blocks. Each product provides the same coverage as a standard USGS 7.5-minute quadrangle without over edge. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals.The Yellowstone National Park 30 m DEM was compiled from a combination of of Level I and II USGS 30 m DEMs, elevation values range from 1528 to 4186, describing 1528 - 4186 meters. The parkwide DEM was compiled by Lisa Landenburger, Geographic Information and Analysis Center (GIAC), Montana State University, Bozeman, MT. This data set is unpublished. material. This summary was abstracted from the FGDC metadata file. proprietary
NPWRC_alienplantsrankingsystem_version 5.1, Version 30 Sep 2002 Alien Plants Ranking System (APRS) Implementation Team ALL STAC Catalog 1970-01-01 -115, 30, -85, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2231551762-CEOS_EXTRA.umm_json The Alien Plants Ranking System (APRS) is a computer-implemented system to help land managers make difficult decisions concerning invasive nonnative plants. The management of invasive plants is difficult, expensive, and requires a long-term commitment. Therefore, land managers must focus their limited resources, targeting the species that cause major impacts or threats to resources within their management, or the species that impede attainment of management goals. APRS provides an analytical tool to separate the innocuous species from the invasive ones (typically around 10% of the nonnative species). APRS not only helps identify those species that currently impact a site, but also those that have a high potential do so in the future. Finally, the system addresses the feasibility of control of each species, enabling the manager to weigh the costs of control against the level of impact. This system has been developed and tested primarily in grassland and prairie parks in the central United States. proprietary
+NPWRC_alienplantsrankingsystem_version 5.1, Version 30 Sep 2002 Alien Plants Ranking System (APRS) Implementation Team CEOS_EXTRA STAC Catalog 1970-01-01 -115, 30, -85, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2231551762-CEOS_EXTRA.umm_json The Alien Plants Ranking System (APRS) is a computer-implemented system to help land managers make difficult decisions concerning invasive nonnative plants. The management of invasive plants is difficult, expensive, and requires a long-term commitment. Therefore, land managers must focus their limited resources, targeting the species that cause major impacts or threats to resources within their management, or the species that impede attainment of management goals. APRS provides an analytical tool to separate the innocuous species from the invasive ones (typically around 10% of the nonnative species). APRS not only helps identify those species that currently impact a site, but also those that have a high potential do so in the future. Finally, the system addresses the feasibility of control of each species, enabling the manager to weigh the costs of control against the level of impact. This system has been developed and tested primarily in grassland and prairie parks in the central United States. proprietary
NPWRC_effectsoffireonbirdpops Effects of Fire on Bird Populations in Mixed-grass Prairie CEOS_EXTRA STAC Catalog 1997-01-01 1997-12-31 -101, 46.5, -97, 48.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231549248-CEOS_EXTRA.umm_json The mixed-grass prairie is one of the largest ecosystems in North America, originally covering about 69 million hectares (Bragg and Steuter 1995). Although much of the natural vegetation has been replaced by cropland and other uses (Samson and Knopf 1994, Bragg and Steuter 1995), significant areas have been preserved in national wildlife refuges, waterfowl production areas, state game management areas, and nature preserves. Mixed-grass prairie evolved with fire (Bragg 1995), and fire is frequently used as a management tool for prairie (Berkey et al. 1993). Much of the mixed-grass prairie that has been protected is managed to enhance the reproductive success of waterfowl and other gamebirds, but nongame birds now are receiving increasing emphasis. Despite the importance of the area to numerous species of birds and the aggressive management applied to many sites, relatively little is known about the effects of fire on the suitability of mixed-grass prairie for breeding birds. Several studies have examined effects of fire on breeding birds in the tallgrass prairie (e.g., Tester and Marshall 1961, Eddleman 1974, Halvorsen and Anderson 1983, Westenmeier and Buhnerkempe 1983, Zimmerman 1992, Herkert 1994), in western sagebrush grasslands (Peterson and Best 1987), and in shrubsteppe (Bock and Bock 1987). Studies of fire effects in the mixed-grass prairie are limited. Huber and Steuter (1984) examined the effects on birds during the breeding season following an early-May prescribed burn on a 122-ha site in South Dakota. They contrasted the bird populations on that site to those on a nearby 462-ha unburned site that had been lightly grazed by bison (Bison bison). Pylypec (1991) monitored breeding bird populations occurring in fescue prairies of Canada on a single 12.9-ha burned area and on an adjacent 5.6-ha unburned fescue prairie for three years after a prescribed burn. proprietary
NRMSC_carnivorerecolonisation Carnivore Re-Colonisation: Reality, Possibility and a Non-Equilibrium Century for Grizzly Bears in the Southern Yellowstone Ecosystem CEOS_EXTRA STAC Catalog 1900-01-01 2000-12-31 -111, 44, -110, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2231549197-CEOS_EXTRA.umm_json Most large native carnivores have experienced range contractions due to conflicts with humans, although neither rates of spatial collapse nor expansion have been well characterized. In North America, the grizzly bear (Ursus arctos) once ranged from Mexico northward to Alaska, however its range in the continental United States has been reduced by 95-98%. Under the U.S. Endangered Species Act, the Yellowstone grizzly bear population has re-colonized habitats outside Yellowstone National Park. We analyzed historical and current records, including data on radio-collared bears, (i) to evaluate changes in grizzly bear distribution in the southern Greater Yellowstone Ecosystem over a 100-year period, (ii) to utilise historical rates of recolonization to project future expansion trends and (iii) to evaluate the reality of future expansion based on human limitations and land use. Analysis of distribution in 20-year increments reflects range reduction from south to north (1900-1940) and expansion to the south (1940-2000). Expansion was exponential and the area occupied by grizzly bears doubled approximately every 20 years. A complementary analysis of bear occurrence in Grand Teton National Park also suggests an unprecedented period of rapid expansion during the last 20-30 years. The grizzly bear population currently has re-occupied about 50% of the southern GYE. Based on assumptions of continued protection and ecological stasis, our model suggests total occupancy in 25 years. Alternatively, extrapolation of linear expansion rates from the period prior to protection suggests total occupancy could take > 100 years. Analyses of historical trends can be useful as a restoration tool because they enable a framework and timeline to be constructed to pre-emptively address the social challenges affecting future carnivore recovery. One of the purposes of the dataset is to predict when grizzly bear occupation of Southern Yellowstone Ecosystem will be total. We focused on a 24,000 square kilometer mosaic of mostly public land that is managed by various federal and state agencies. Our analysis of changes in grizzly bear distribution during 1900-2000 was divided into 20-year periods. For each, we used various data sources for grizzly bear occurrence to create digital maps of bear distribution using ArcView GIS 32. (ESRI, Redlands, CA) We digitized reports, interviews, conflicts, mortalities and observations as points. We created a polygon for the 1920 source data, a hand-drawn distribution map by Merriam (1922). More methodology given in Pyare, 2004 paper. proprietary
NRSCC_GLASS_ FAPAR_MODIS_0.05D_11 NRSCC_GLASS_ FAPAR_MODIS_0.05D NRSCC STAC Catalog 2010-02-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351149-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product was generated using MODIS products. proprietary
@@ -12415,8 +12417,8 @@ NSF-ANT06-36850 Central Scotia Seafloor and the Drake Passage Deep Ocean Current
NSF-ANT06-36899_1 Antarctic Auroral Imaging AMD_USAPDC STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2532069257-AMD_USAPDC.umm_json Auroral protons are not energized by electric fields directly above the auroral atmosphere and therefore they are a much better diagnostic of processes deep in the magnetosphere. It has been shown from measurements from space by the IMAGE spacecraft that the dayside hydrogen emission is directly related to dayside reconnection processes. A four channel all-sky images had been operating at South Pole during 2004-2007 to observe auroral features in specific wavelengths channels that allowed a quantitative investigation of proton aurora. This was accomplished by measuring the Hydrogen Balmer beta line at 486.1 nm and by monitoring another wavelength band for subtracting non proton produced background emissions. South Pole allows these measurements because of the 24 hour darkness and favorable conditions even on the dayside. To increase the scientific return it was also attempted to measure the Doppler shift of the hydrogen emissions because that provides diagnostics regarding the energy of the protons. Thus the proton camera measured 3 wavelength bands simultaneously in the vicinity of the Balmer beta line to provide the line intensity near zero Doppler shift, at a substantial Doppler shift and a third channel for background. The 4-channel all-sky camera at South Pole was modified in 2008 in order to observe several types of auroras, and to distinguish the cusp reconnection aurora from the normal plasma sheet precipitation. The camera simultaneously operates in four wavelength regions that allow a distinction between auroras that are created by higher energy electrons (greater than 1 keV) and those created by low energy (less than 500 eV) precipitation. The cusp is the location where plasma enters the magnetosphere through the process of magnetic reconnection. This reconnection occurs where the Interplanetary Magnetic Field (IMF) and the terrestrial magnetic field are oriented in opposite directions. The data are represented as keograms (geomagnetic north-south slices through the time series of images) for the four different wavelengths. The top of the keogram points to the magnetic south pole. The time series allows a very quick assessment about the presence of aurora, motion, intensity, and brightness differences in the four simultaneously registered channels. proprietary
NSF-ANT06-36928 A VLF Beacon Transmitter at South Pole AMD_USAPDC STAC Catalog 2007-09-15 2011-08-31 -180, -90, 180, -90 https://cmr.earthdata.nasa.gov/search/concepts/C2532069583-AMD_USAPDC.umm_json This proposal seeks funding to resume operation of the VLF Beacon Transmitter at the South Pole Station used to quantify temporal and spatial variations in the state of the lower ionosphere between the polar cap and subauroral zone, to determine the ionosphere's response to precipitation of highly energetic radiation belt electrons and solar protons, and to monitor the loss of these particles into the atmosphere. Although fluctuations in the relativistic particle population are extensively observed on satellites, little is known about the extent of associated precipitation into the ionosphere. Upon precipitation, these highly energetic particles penetrate to altitudes as low as 30-40 km, producing ionization, X-rays, and possibly affecting chemical reactions involving ozone production. It is proposed to continue recording the VLF beacon's signal at various Antarctic coastal stations (Palmer, Halley, etc). The broader impact of the proposed program includes the synergistic use of the South Pole VLF beacon with ongoing satellite-based measurements of trapped and precipitating high-energy electrons both at low and high altitudes and with other Antarctic Upper Atmospheric research efforts, such as the Automatic Geophysical Observatory programs and routine upper atmospheric observations at manned bases. The proposed project also promotes international collaboration via multi-points recording of the South Pole VLF beacon signal while providing the basis of a graduate or doctoral student thesis. proprietary
NSF-ANT06-36928 A VLF Beacon Transmitter at South Pole ALL STAC Catalog 2007-09-15 2011-08-31 -180, -90, 180, -90 https://cmr.earthdata.nasa.gov/search/concepts/C2532069583-AMD_USAPDC.umm_json This proposal seeks funding to resume operation of the VLF Beacon Transmitter at the South Pole Station used to quantify temporal and spatial variations in the state of the lower ionosphere between the polar cap and subauroral zone, to determine the ionosphere's response to precipitation of highly energetic radiation belt electrons and solar protons, and to monitor the loss of these particles into the atmosphere. Although fluctuations in the relativistic particle population are extensively observed on satellites, little is known about the extent of associated precipitation into the ionosphere. Upon precipitation, these highly energetic particles penetrate to altitudes as low as 30-40 km, producing ionization, X-rays, and possibly affecting chemical reactions involving ozone production. It is proposed to continue recording the VLF beacon's signal at various Antarctic coastal stations (Palmer, Halley, etc). The broader impact of the proposed program includes the synergistic use of the South Pole VLF beacon with ongoing satellite-based measurements of trapped and precipitating high-energy electrons both at low and high altitudes and with other Antarctic Upper Atmospheric research efforts, such as the Automatic Geophysical Observatory programs and routine upper atmospheric observations at manned bases. The proposed project also promotes international collaboration via multi-points recording of the South Pole VLF beacon signal while providing the basis of a graduate or doctoral student thesis. proprietary
-NSF-ANT06-49609_1 Aging in Weddell Seals: Proximate Mechanisms of Age-Related Changes in Adaptations to Breath-Hold Hunting in an Extreme Environment ALL STAC Catalog 2006-08-01 2010-08-31 165.975, -77.849, 166.856, -77.54 https://cmr.earthdata.nasa.gov/search/concepts/C2532069573-AMD_USAPDC.umm_json The primary objectives of this research are to investigate the proximate effects of aging on diving capability in the Weddell Seal and to describe mechanisms by which aging may influence foraging ecology, through physiology and behavior. This model pinniped species has been the focus of three decades of research in McMurdo Sound, Antarctica. Compared to the knowledge of pinniped diving physiology and ecology during early development and young adulthood, little is known about individuals nearing the upper limit of their normal reproductive age range. Evolutionary aging theories predict that elderly diving seals should exhibit senescence. This should be exacerbated by surges in the generation of oxygen free radicals via hypoxia-reoxygenation during breath-hold diving and hunting, which are implicated in age-related damage to cellular mitochondria. Surprisingly, limited observations of non-threatened pinniped populations indicate that senescence does not occur to a level where reproductive output is affected. The ability of pinnipeds to avoid apparent senescence raises two major questions: what specific physiological and morphological changes occur with advancing age in pinnipeds; and what subtle adjustments are made by these animals to cope with such changes? This investigation will focus on specific, functional physiological and behavioral changes relating to dive capability with advancing age. Data will be compared between Weddell seals in the peak, and near the end, of their reproductive age range. The investigators will quantify age-related changes in general health and body condition, combined with fine scale assessments of external and internal ability to do work in the form of diving. Specifically, patterns of muscle morphology, oxidant status and oxygen storage with age will be examined. The effects of age on skeletal muscular function and exercise performance will also be examined. The investigators hypothesize that senescence does occur in Weddell seals at the level of small-scale, proximate physiological effects and performance, but that behavioral plasticity allows for a given degree of compensation. Broader impacts include the training of students and outreach activities including interviews and articles written for the popular media. This study should also establish diving seals as a novel model for the study of cardiovascular and muscular physiology of aging and develop a foundation for similar research on other species. Advancement of the understanding of aging by medical science has been impressive in recent years but basic mammalian aging is an area of study the still requires considerable effort. The development of new models for the study of aging has tremendous potential benefits to society at large. proprietary
NSF-ANT06-49609_1 Aging in Weddell Seals: Proximate Mechanisms of Age-Related Changes in Adaptations to Breath-Hold Hunting in an Extreme Environment AMD_USAPDC STAC Catalog 2006-08-01 2010-08-31 165.975, -77.849, 166.856, -77.54 https://cmr.earthdata.nasa.gov/search/concepts/C2532069573-AMD_USAPDC.umm_json The primary objectives of this research are to investigate the proximate effects of aging on diving capability in the Weddell Seal and to describe mechanisms by which aging may influence foraging ecology, through physiology and behavior. This model pinniped species has been the focus of three decades of research in McMurdo Sound, Antarctica. Compared to the knowledge of pinniped diving physiology and ecology during early development and young adulthood, little is known about individuals nearing the upper limit of their normal reproductive age range. Evolutionary aging theories predict that elderly diving seals should exhibit senescence. This should be exacerbated by surges in the generation of oxygen free radicals via hypoxia-reoxygenation during breath-hold diving and hunting, which are implicated in age-related damage to cellular mitochondria. Surprisingly, limited observations of non-threatened pinniped populations indicate that senescence does not occur to a level where reproductive output is affected. The ability of pinnipeds to avoid apparent senescence raises two major questions: what specific physiological and morphological changes occur with advancing age in pinnipeds; and what subtle adjustments are made by these animals to cope with such changes? This investigation will focus on specific, functional physiological and behavioral changes relating to dive capability with advancing age. Data will be compared between Weddell seals in the peak, and near the end, of their reproductive age range. The investigators will quantify age-related changes in general health and body condition, combined with fine scale assessments of external and internal ability to do work in the form of diving. Specifically, patterns of muscle morphology, oxidant status and oxygen storage with age will be examined. The effects of age on skeletal muscular function and exercise performance will also be examined. The investigators hypothesize that senescence does occur in Weddell seals at the level of small-scale, proximate physiological effects and performance, but that behavioral plasticity allows for a given degree of compensation. Broader impacts include the training of students and outreach activities including interviews and articles written for the popular media. This study should also establish diving seals as a novel model for the study of cardiovascular and muscular physiology of aging and develop a foundation for similar research on other species. Advancement of the understanding of aging by medical science has been impressive in recent years but basic mammalian aging is an area of study the still requires considerable effort. The development of new models for the study of aging has tremendous potential benefits to society at large. proprietary
+NSF-ANT06-49609_1 Aging in Weddell Seals: Proximate Mechanisms of Age-Related Changes in Adaptations to Breath-Hold Hunting in an Extreme Environment ALL STAC Catalog 2006-08-01 2010-08-31 165.975, -77.849, 166.856, -77.54 https://cmr.earthdata.nasa.gov/search/concepts/C2532069573-AMD_USAPDC.umm_json The primary objectives of this research are to investigate the proximate effects of aging on diving capability in the Weddell Seal and to describe mechanisms by which aging may influence foraging ecology, through physiology and behavior. This model pinniped species has been the focus of three decades of research in McMurdo Sound, Antarctica. Compared to the knowledge of pinniped diving physiology and ecology during early development and young adulthood, little is known about individuals nearing the upper limit of their normal reproductive age range. Evolutionary aging theories predict that elderly diving seals should exhibit senescence. This should be exacerbated by surges in the generation of oxygen free radicals via hypoxia-reoxygenation during breath-hold diving and hunting, which are implicated in age-related damage to cellular mitochondria. Surprisingly, limited observations of non-threatened pinniped populations indicate that senescence does not occur to a level where reproductive output is affected. The ability of pinnipeds to avoid apparent senescence raises two major questions: what specific physiological and morphological changes occur with advancing age in pinnipeds; and what subtle adjustments are made by these animals to cope with such changes? This investigation will focus on specific, functional physiological and behavioral changes relating to dive capability with advancing age. Data will be compared between Weddell seals in the peak, and near the end, of their reproductive age range. The investigators will quantify age-related changes in general health and body condition, combined with fine scale assessments of external and internal ability to do work in the form of diving. Specifically, patterns of muscle morphology, oxidant status and oxygen storage with age will be examined. The effects of age on skeletal muscular function and exercise performance will also be examined. The investigators hypothesize that senescence does occur in Weddell seals at the level of small-scale, proximate physiological effects and performance, but that behavioral plasticity allows for a given degree of compensation. Broader impacts include the training of students and outreach activities including interviews and articles written for the popular media. This study should also establish diving seals as a novel model for the study of cardiovascular and muscular physiology of aging and develop a foundation for similar research on other species. Advancement of the understanding of aging by medical science has been impressive in recent years but basic mammalian aging is an area of study the still requires considerable effort. The development of new models for the study of aging has tremendous potential benefits to society at large. proprietary
NSF-ANT07-32625_1 Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach - Marine and Quaternary Geosciences AMD_USAPDC STAC Catalog 2007-10-01 2013-09-30 -65.4, -66.1, -57.8, -57 https://cmr.earthdata.nasa.gov/search/concepts/C2532069808-AMD_USAPDC.umm_json This award supports a research cruise to perform geologic studies in the area under and surrounding the former Larsen B ice shelf, on the Antarctic Peninsula. The ice shelf's disintegration in 2002 coupled with the unique marine geology of the area make it possible to understand the conditions leading to ice shelf collapse. Bellwethers of climate change that reflect both oceanographic and atmospheric conditions, ice shelves also hold back glacial flow in key areas of the polar regions. Their collapse results in glacial surging and could cause rapid rise in global sea levels. This project characterizes the Larsen ice shelf's history and conditions leading to its collapse by determining: 1) the size of the Larsen B during warmer climates and higher sea levels back to the Eemian interglacial, 125,000 years ago; 2) the configuration of the Antarctic Peninsula ice sheet during the LGM and its subsequent retreat; 3) the causes of the Larsen B's stability through the Holocene, during which other shelves have come and gone; 4) the controls on the dynamics of ice shelf margins, especially the roles of surface melting and oceanic processes, and 5) the changes in sediment flux, both biogenic and lithogenic, after large ice shelf breakup. The broader impacts include graduate and undergraduate education through research projects and workshops; outreach to the general public through a television documentary and websites, and international collaboration with scientists from Belgium, Spain, Argentina, Canada, Germany and the UK. The work also has important societal relevance. Improving our understanding of how ice shelves behave in a warming world will improve models of sea level rise. The project is supported under NSF's International Polar Year (IPY) research emphasis area on 'Understanding Environmental Change in Polar Regions'. proprietary
NSF-ANT07-32651 Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach -- Cryosphere and Oceans AMD_USAPDC STAC Catalog 2008-05-01 2014-04-30 -64.8667, -65.987, -57.5573, -64.1553 https://cmr.earthdata.nasa.gov/search/concepts/C2532069870-AMD_USAPDC.umm_json Scambos/0732921,Pettit/0732738,Gordon/0732651,Truffer/0732602,Mosley-Thompson/0732655. Like no other region on Earth, the northern Antarctic Peninsula represents a spectacular natural laboratory of climate change and provides the opportunity to study the record of past climate and ecological shifts alongside the present-day changes in one of the most rapidly warming regions on Earth. This award supports the cryospheric and oceano-graphic components of an integrated multi-disciplinary program to address these rapid and fundamental changes now taking place in Antarctic Peninsula (AP). By making use of a marine research platform (the RV NB Palmer and on-board helicopters) and additional logistical support from the Argentine Antarctic program, the project will bring glaciologists, oceanographers, marine geologists and biologists together, working collaboratively to address fundamentally interdisciplinary questions regarding climate change. The project will include gathering a new, high-resolution paleoclimate record from the Bruce Plateau of Graham Land, and using it to compare Holocene- and possibly glacial-epoch climate to the modern period; investigating the stability of the remaining Larsen Ice Shelf and rapid post-breakup glacier response ? in particular, the roles of surface melt and ice-ocean interactions in the speed-up and retreat; observing the contribution of, and response of, oceanographic systems to ice shelf disintegration and ice-glacier interactions. Helicopter support on board will allow access to a wide range of glacial and geological areas of interest adjacent to the Larsen embayment. At these locations, long-term in situ glacial monitoring, isostatic uplift, and ice flow GPS sites will be established, and high-resolution ice core records will be obtained using previously tested lightweight drilling equipment. Long-term monitoring of deep water outflow will, for the first time, be integrated into changes in ice shelf extent and thickness, bottom water formation, and multi-level circulation by linking near-source observations to distal sites of concentrated outflow. The broader impacts of this international, multidisciplinary effort are that it will significantly advance our understanding of linkages amongst the earth's systems in the Polar Regions, and are proposed with international participation (UK, Spain, Belgium, Germany and Argentina) and interdisciplinary engagement in the true spirit of the International Polar Year (IPY). It will also provide a means of engaging and educating the public in virtually all aspects of polar science and the effects of ongoing climate change. The research team has a long record of involving undergraduates in research, educating high-performing graduate students, and providing innovative and engaging outreach products to the K-12 education and public media forums. Moreover, forging the new links both in science and international Antarctic programs will provide a continuing legacy, beyond IPY, of improved understanding and cooperation in Antarctica. proprietary
NSF-ANT07-32983_1 Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach - Marine Ecosystems. AMD_USAPDC STAC Catalog 2007-09-15 2014-08-31 -66, -70, -59, -62 https://cmr.earthdata.nasa.gov/search/concepts/C2532069891-AMD_USAPDC.umm_json Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach - Marine Ecosystems. A profound transformation in ecosystem structure and function is occurring in coastal waters of the western Weddell Sea, with the collapse of the Larsen B ice shelf. This transformation appears to be yielding a redistribution of energy flow between chemoautotrophic and photosynthetic production, and to be causing the rapid demise of the extraordinary seep ecosystem discovered beneath the ice shelf. This event provides an ideal opportunity to examine fundamental aspects of ecosystem transition associated with climate change. We propose to test the following hypotheses to elucidate the transformations occurring in marine ecosystems as a consequence of the Larsen B collapse: (1) The biogeographic isolation and sub-ice shelf setting of the Larsen B seep has led to novel habitat characteristics, chemoautotrophically dependent taxa and functional adaptations. (2) Benthic communities beneath the former Larsen B ice shelf are fundamentally different from assemblages at similar depths in the Weddell sea-ice zone, and resemble oligotrophic deep-sea communities. Larsen B assemblages are undergoing rapid change. (3) The previously dark, oligotrophic waters of the Larsen B embayment now support a thriving phototrophic community, with production rates and phytoplankton composition similar to other productive areas of the Weddell Sea. To document rapid changes occurring in the Larsen B ecosystem, we will use a remotely operated vehicle, shipboard samplers, and moored sediment traps. We will characterize microbial, macrofaunal and megafaunal components of the seep community; evaluate patterns of surface productivity, export flux, and benthic faunal composition in areas previously covered by the ice shelf, and compare these areas to the open sea-ice zone. These changes will be placed within the geological, glaciological and climatological context that led to ice-shelf retreat, through companion research projects funded in concert with this effort. Together these projects will help predict the likely consequences of ice-shelf collapse to marine ecosystems in other regions of Antarctica vulnerable to climate change. The research features international collaborators from Argentina, Belgium, Canada, Germany, Spain and the United Kingdom. The broader impacts include participation of a science writer; broadcast of science segments by members of the Jim Lehrer News Hour (Public Broadcasting System); material for summer courses in environmental change; mentoring of graduate students and postdoctoral fellows; and showcasing scientific activities and findings to students and public through podcasts. proprietary
@@ -12426,22 +12428,22 @@ NSF-ANT08-38955_1 Alternative Nutritional Strategies in Antarctic Protists AMD_U
NSF-ANT08-38996_1 Ammonia Oxidation Versus Heterotrophy in Crenarchaeota Populations from Marine Environments West of the Antarctic Peninsula AMD_USAPDC STAC Catalog 2009-08-15 2013-12-31 -79, -71, -64, -63 https://cmr.earthdata.nasa.gov/search/concepts/C2532069861-AMD_USAPDC.umm_json Ammonia oxidation is the first step in the conversion of regenerated nitrogen to dinitrogen gas, a 3-step pathway mediated by 3 distinct guilds of bacteria and archaea. Ammonia oxidation and the overall process of nitrification-denitrification have received relatively little attention in polar oceans where the effects of climate change on biogeochemical rates are likely to be pronounced. Previous work on Ammonia Oxidizing Archaea (AOA) in the Palmer LTER study area West of the Antarctic Peninsula (WAP), has suggested strong vertical segregation of crenarchaeote metabolism, with the 'winter water' (WW, ~50-100 m depth range) dominated by non-AOA crenarchaeotes, while Crenarchaeota populations in the 'circumpolar deep water' (CDW), which lies immediately below the winter water (150-3500 m), are dominated by AOA. Analysis of a limited number of samples from the Arctic Ocean did not reveal a comparable vertical segregation of AOA, and suggested that AOA and Crenarchaeota abundance is much lower there than in the Antarctic. These findings led to 3 hypotheses that will be tested in this project: 1) the apparent low abundance of Crenarchaeota and AOA in Arctic Ocean samples may be due to spatial or temporal variability in populations; 2) the WW population of Crenarchaeota in the WAP is dominated by a heterotroph; 3) the WW population of Crenarchaeota in the WAP 'grows in' during spring and summer after this water mass forms. The study will contribute substantially to understanding an important aspect of the nitrogen cycle in the Palmer LTER (Long Term Ecological Research) study area by providing insights into the ecology and physiology of AOA. The natural segregation of crenarchaeote phenotypes in waters of the WAP, coupled with metagenomic studies in progress in the same area by others (A. Murray, H. Ducklow), offers the possibility of major breakthroughs in understanding of the metabolic capabilities of these organisms. This knowledge is needed to model how water column nitrification will respond to changes in polar ecosystems accompanying global climate change. The Principal Investigator will participate fully in the education and outreach efforts of the Palmer LTER, including making highlights of our findings available for posting to their project web site and participating in outreach (for example, Schoolyard LTER). The research also will involve undergraduates (including the field work if possible) and will support high school interns in the P.I.'s laboratory over the summer. proprietary
NSF-ANT09-44042 Acoustic Assessment of Southern Ocean Salps and Their Ecosystem Impact ALL STAC Catalog 2010-09-01 2013-08-31 -70, -66, -50, -59 https://cmr.earthdata.nasa.gov/search/concepts/C2532069797-AMD_USAPDC.umm_json The importance of gelatinous zooplankton in marine systems worldwide is increasing. In Southern Ocean, increasing salp densities could have a detrimental effect on higher predators, including penguins, fur seals, and baleen whales. The proposed research is a methods-develoment project that will improve the capability to indirectly assess abundances and distributions of salps in the Southern Ocean through acoustic surveys. Hydrographic, net tow, and acoustic backscatter data will be collected in the waters surrounding the South Shetland Islands and the Antarctic peninsula, where both krill and salps are found and compete for food. Shipboard experimental manipulations and measurements will lead to improved techniques for assessment of salp biomass acoustically. Experiments will focus on material properties (density and sound speed), size and shape of salps, as well as how these physical properties will vary with the salp\'s environment, feeding rate, and reproductive status. In the field, volume backscattering data from an acoustic echosounder will be collected at the same locations as the net tows to enable comparison of net and acoustic estimates of salp abundance. A physics-based scattering model for salps will be developed and validated, to determine if multiple acoustic frequencies can be used to discriminate between scattering associated with krill swarms and that from salp blooms. During the same period as the Antarctic field work, a parallel outreach and education study will be undertaken in Long Island, New York examining local gelatinous zooplankton. This study will enable project participants to learn and practice research procedures and methods before traveling to Antarctica; provide a comparison time-series that will be used for educational purposes; and include many more students and teachers in the research project than would be able to participate in the Antarctic field component. proprietary
NSF-ANT09-44042 Acoustic Assessment of Southern Ocean Salps and Their Ecosystem Impact AMD_USAPDC STAC Catalog 2010-09-01 2013-08-31 -70, -66, -50, -59 https://cmr.earthdata.nasa.gov/search/concepts/C2532069797-AMD_USAPDC.umm_json The importance of gelatinous zooplankton in marine systems worldwide is increasing. In Southern Ocean, increasing salp densities could have a detrimental effect on higher predators, including penguins, fur seals, and baleen whales. The proposed research is a methods-develoment project that will improve the capability to indirectly assess abundances and distributions of salps in the Southern Ocean through acoustic surveys. Hydrographic, net tow, and acoustic backscatter data will be collected in the waters surrounding the South Shetland Islands and the Antarctic peninsula, where both krill and salps are found and compete for food. Shipboard experimental manipulations and measurements will lead to improved techniques for assessment of salp biomass acoustically. Experiments will focus on material properties (density and sound speed), size and shape of salps, as well as how these physical properties will vary with the salp\'s environment, feeding rate, and reproductive status. In the field, volume backscattering data from an acoustic echosounder will be collected at the same locations as the net tows to enable comparison of net and acoustic estimates of salp abundance. A physics-based scattering model for salps will be developed and validated, to determine if multiple acoustic frequencies can be used to discriminate between scattering associated with krill swarms and that from salp blooms. During the same period as the Antarctic field work, a parallel outreach and education study will be undertaken in Long Island, New York examining local gelatinous zooplankton. This study will enable project participants to learn and practice research procedures and methods before traveling to Antarctica; provide a comparison time-series that will be used for educational purposes; and include many more students and teachers in the research project than would be able to participate in the Antarctic field component. proprietary
-NSF-ANT09-44358 Adelie Penguin Response to Climate Change at the Individual, Colony and Metapopulation Levels - NSF-ANT09-44358 AMD_USAPDC STAC Catalog 2010-09-15 2015-08-31 165.9, -77.6, 169.4, -76.9 https://cmr.earthdata.nasa.gov/search/concepts/C2532070119-AMD_USAPDC.umm_json While changes in populations typically are tracked to gauge the impact of climate or habitat change, the process involves the response of individuals as each copes with an altered environment. In a study of Adelie penguins that spans 13 breeding seasons, results indicate that only 20% of individuals within a colony successfully raise offspring, and that they do so because of their exemplary foraging proficiency. Moreover, foraging appears to require more effort at the largest colony, where intraspecific competition is higher than at small colonies, and also requires more proficiency during periods of environmental stress. When conditions are particularly daunting, emigration dramatically increases, countering the long-standing assumption that Ad?lie penguins are highly philopatric. The research project will 1) determine the effect of age, experience and physiology on individual foraging efficiency; 2) determine the effect of age, experience, and individual quality on breeding success and survival in varying environmental and competitive conditions at the colony level; and 3) develop a comprehensive model for the Ross-Beaufort Island metapopulation dynamics. Broader impacts include training of interns, continuation of public outreach through the highly successful project website penguinscience.com, development of classroom materials and other standards-based instructional resources. proprietary
NSF-ANT09-44358 Adelie Penguin Response to Climate Change at the Individual, Colony and Metapopulation Levels - NSF-ANT09-44358 ALL STAC Catalog 2010-09-15 2015-08-31 165.9, -77.6, 169.4, -76.9 https://cmr.earthdata.nasa.gov/search/concepts/C2532070119-AMD_USAPDC.umm_json While changes in populations typically are tracked to gauge the impact of climate or habitat change, the process involves the response of individuals as each copes with an altered environment. In a study of Adelie penguins that spans 13 breeding seasons, results indicate that only 20% of individuals within a colony successfully raise offspring, and that they do so because of their exemplary foraging proficiency. Moreover, foraging appears to require more effort at the largest colony, where intraspecific competition is higher than at small colonies, and also requires more proficiency during periods of environmental stress. When conditions are particularly daunting, emigration dramatically increases, countering the long-standing assumption that Ad?lie penguins are highly philopatric. The research project will 1) determine the effect of age, experience and physiology on individual foraging efficiency; 2) determine the effect of age, experience, and individual quality on breeding success and survival in varying environmental and competitive conditions at the colony level; and 3) develop a comprehensive model for the Ross-Beaufort Island metapopulation dynamics. Broader impacts include training of interns, continuation of public outreach through the highly successful project website penguinscience.com, development of classroom materials and other standards-based instructional resources. proprietary
-NSF-ANT09-44411 Adelie Penguin Response to Climate Change at the Individual, Colony and Metapopulation Levels ALL STAC Catalog 2010-09-15 2015-08-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532069734-AMD_USAPDC.umm_json While changes in populations typically are tracked to gauge the impact of climate or habitat change, the process involves the response of individuals as each copes with an altered environment. In a study of Adelie penguins that spans 13 breeding seasons, results indicate that only 20% of individuals within a colony successfully raise offspring, and that they do so because of their exemplary foraging proficiency. Moreover, foraging appears to require more effort at the largest colony, where intraspecific competition is higher than at small colonies, and also requires more proficiency during periods of environmental stress. When conditions are particularly daunting, emigration dramatically increases, countering the long-standing assumption that Adélie penguins are highly philopatric. The research project will 1) determine the effect of age, experience and physiology on individual foraging efficiency; 2) determine the effect of age, experience, and individual quality on breeding success and survival in varying environmental and competitive conditions at the colony level; and 3) develop a comprehensive model for the Ross-Beaufort Island metapopulation dynamics. Broader impacts include training of interns, continuation of public outreach through the highly successful project website penguinscience.com, development of classroom materials and other standards-based instructional resources. proprietary
+NSF-ANT09-44358 Adelie Penguin Response to Climate Change at the Individual, Colony and Metapopulation Levels - NSF-ANT09-44358 AMD_USAPDC STAC Catalog 2010-09-15 2015-08-31 165.9, -77.6, 169.4, -76.9 https://cmr.earthdata.nasa.gov/search/concepts/C2532070119-AMD_USAPDC.umm_json While changes in populations typically are tracked to gauge the impact of climate or habitat change, the process involves the response of individuals as each copes with an altered environment. In a study of Adelie penguins that spans 13 breeding seasons, results indicate that only 20% of individuals within a colony successfully raise offspring, and that they do so because of their exemplary foraging proficiency. Moreover, foraging appears to require more effort at the largest colony, where intraspecific competition is higher than at small colonies, and also requires more proficiency during periods of environmental stress. When conditions are particularly daunting, emigration dramatically increases, countering the long-standing assumption that Ad?lie penguins are highly philopatric. The research project will 1) determine the effect of age, experience and physiology on individual foraging efficiency; 2) determine the effect of age, experience, and individual quality on breeding success and survival in varying environmental and competitive conditions at the colony level; and 3) develop a comprehensive model for the Ross-Beaufort Island metapopulation dynamics. Broader impacts include training of interns, continuation of public outreach through the highly successful project website penguinscience.com, development of classroom materials and other standards-based instructional resources. proprietary
NSF-ANT09-44411 Adelie Penguin Response to Climate Change at the Individual, Colony and Metapopulation Levels AMD_USAPDC STAC Catalog 2010-09-15 2015-08-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532069734-AMD_USAPDC.umm_json While changes in populations typically are tracked to gauge the impact of climate or habitat change, the process involves the response of individuals as each copes with an altered environment. In a study of Adelie penguins that spans 13 breeding seasons, results indicate that only 20% of individuals within a colony successfully raise offspring, and that they do so because of their exemplary foraging proficiency. Moreover, foraging appears to require more effort at the largest colony, where intraspecific competition is higher than at small colonies, and also requires more proficiency during periods of environmental stress. When conditions are particularly daunting, emigration dramatically increases, countering the long-standing assumption that Adélie penguins are highly philopatric. The research project will 1) determine the effect of age, experience and physiology on individual foraging efficiency; 2) determine the effect of age, experience, and individual quality on breeding success and survival in varying environmental and competitive conditions at the colony level; and 3) develop a comprehensive model for the Ross-Beaufort Island metapopulation dynamics. Broader impacts include training of interns, continuation of public outreach through the highly successful project website penguinscience.com, development of classroom materials and other standards-based instructional resources. proprietary
+NSF-ANT09-44411 Adelie Penguin Response to Climate Change at the Individual, Colony and Metapopulation Levels ALL STAC Catalog 2010-09-15 2015-08-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532069734-AMD_USAPDC.umm_json While changes in populations typically are tracked to gauge the impact of climate or habitat change, the process involves the response of individuals as each copes with an altered environment. In a study of Adelie penguins that spans 13 breeding seasons, results indicate that only 20% of individuals within a colony successfully raise offspring, and that they do so because of their exemplary foraging proficiency. Moreover, foraging appears to require more effort at the largest colony, where intraspecific competition is higher than at small colonies, and also requires more proficiency during periods of environmental stress. When conditions are particularly daunting, emigration dramatically increases, countering the long-standing assumption that Adélie penguins are highly philopatric. The research project will 1) determine the effect of age, experience and physiology on individual foraging efficiency; 2) determine the effect of age, experience, and individual quality on breeding success and survival in varying environmental and competitive conditions at the colony level; and 3) develop a comprehensive model for the Ross-Beaufort Island metapopulation dynamics. Broader impacts include training of interns, continuation of public outreach through the highly successful project website penguinscience.com, development of classroom materials and other standards-based instructional resources. proprietary
NSF-ANT09-44532 Application of Detrital Zircon Isotope Characteristics and Sandstone Analysis of Beacon Strata to the Tectonic Evolution of the Antarctic Sector of Gondwana AMD_USAPDC STAC Catalog 2010-07-01 2013-06-30 158.9, -85.1, 165.73, -83 https://cmr.earthdata.nasa.gov/search/concepts/C2532069801-AMD_USAPDC.umm_json Intellectual Merit: The goal of this project is to address relationships between foreland basins and their tectonic settings by combining detrital zircon isotope characteristics and sedimentological data. To accomplish this goal the PIs will develop a detailed geochronology and analyze Hf- and O-isotopes of detrital zircons in sandstones of the Devonian Taylor Group and the Permian-Triassic Victoria Group. These data will allow them to better determine provenance and basin fill, and to understand the nature of the now ice covered source regions in East and West Antarctica. The PIs will document possible unexposed/unknown crustal terrains in West Antarctica, investigate sub-glacial terrains of East Antarctica that were exposed to erosion during Devonian to Triassic time, and determine the evolving provenance and tectonic history of the Devonian to Triassic Gondwana basins in the central Transantarctic Mountains. Detrital zircon data will be interpreted in the context of fluvial dispersal/drainage patterns, sandstone petrology, and sequence stratigraphy. This interpretation will identify source terrains and evolving sediment provenances. Paleocurrent analysis and sequence stratigraphy will determine the timing and nature of changing tectonic conditions associated with development of the depositional basins and document the tectonic history of the Antarctic sector of Gondwana. Results from this study will answer questions about the Panthalassan margin of Gondwana, the Antarctic craton, and the Beacon depositional basin and their respective roles in global tectonics and the geologic and biotic history of Antarctica. The Beacon basin and adjacent uplands played an important role in the development and demise of Gondwanan glaciation through modification of polar climates, development of peat-forming mires, colonization of the landscape by plants, and were a migration route for Mesozoic vertebrates into Antarctica. Broader impacts: This proposal includes support for two graduate students who will participate in the fieldwork, and also support for other students to participate in laboratory studies. Results of the research will be incorporated in classroom teaching at the undergraduate and graduate levels and will help train the next generation of field geologists. Interactions with K-12 science classes will be achieved by video/computer conferencing and satellite phone connections from Antarctica. Another outreach effort is the developing cooperation between the Byrd Polar Research Center and the Center of Science and Industry in Columbus. proprietary
NSF-ANT09-44653_1 Annual Satellite Era Accumulation Patterns Over WAIS Divide: A Study Using Shallow Ice Cores, Near-Surface Radars and Satellites AMD_USAPDC STAC Catalog 2010-08-01 2015-07-31 -110, -80, -119.4, -78.1 https://cmr.earthdata.nasa.gov/search/concepts/C2532069942-AMD_USAPDC.umm_json This award supports a project to broaden the knowledge of annual accumulation patterns over the West Antarctic Ice Sheet by processing existing near-surface radar data taken on the US ITASE traverse in 2000 and by gathering and validating new ultra/super-high-frequency (UHF) radar images of near surface layers (to depths of ~15 m), expanding abilities to monitor recent annual accumulation patterns from point source ice cores to radar lines. Shallow (15 m) ice cores will be collected in conjunction with UHF radar images to confirm that radar echoed returns correspond with annual layers, and/or sub-annual density changes in the near-surface snow, as determined from ice core stable isotopes. This project will additionally improve accumulation monitoring from space-borne instruments by comparing the spatial-radar-derived-annual accumulation time series to the passive microwave time series dating back over 3 decades and covering most of Antarctica. The intellectual merit of this project is that mapping the spatial and temporal variations in accumulation rates over the Antarctic ice sheet is essential for understanding ice sheet responses to climate forcing. Antarctic precipitation rate is projected to increase up to 20% in the coming century from the predicted warming. Accumulation is a key component for determining ice sheet mass balance and, hence, sea level rise, yet our ability to measure annual accumulation variability over the past 5 decades (satellite era) is mostly limited to point-source ice cores. Developing a radar and ice core derived annual accumulation dataset will provide validation data for space-born remote sensing algorithms, climate models and, additionally, establish accumulation trends. The broader impacts of the project are that it will advance discovery and understanding within the climatology, glaciology and remote sensing communities by verifying the use of UHF radars to monitor annual layers as determined by visual, chemical and isotopic analysis from corresponding shallow ice cores and will provide a dataset of annual to near-annual accumulation measurements over the past ~5 decades across WAIS divide from existing radar data and proposed radar data. By determining if temporal changes in the passive microwave signal are correlated with temporal changes in accumulation will help assess the utility of passive microwave remote sensing to monitor accumulation rates over ice sheets for future decades. The project will promote teaching, training and learning, and increase representation of underrepresented groups by becoming involved in the NASA History of Winter project and Thermochron Mission and by providing K-12 teachers with training to monitor snow accumulation and temperature here in the US, linking polar research to the student's backyard. The project will train both undergraduate and graduate students in polar research and will encouraging young investigators to become involved in careers in science. In particular, two REU students will participate in original research projects as part of this larger project, from development of a hypothesis to presentation and publication of the results. The support of a new, young woman scientist will help to increase gender diversity in polar research. proprietary
NSF-ANT09-44727 ASPIRE: Amundsen Sea Polynya International Research Expedition AMD_USAPDC STAC Catalog 2010-10-01 2014-09-30 -118.3, -74.2, -111, -71.6 https://cmr.earthdata.nasa.gov/search/concepts/C2532069918-AMD_USAPDC.umm_json ASPIRE is an NSF-funded project that will examine the ecology of the Amundsen Sea during the Austral summer of 2010. ASPIRE includes an international team of trace metal and carbon chemists, phytoplankton physiologists, microbial and zooplankton ecologists, and physical oceanographers, that will investigate why and how the Amundsen Sea Polynya is so much more productive than other polynyas and whether interannual variability can provide insight to climate-sensitive mechanisms driving carbon fluxes. This project will compliment the existing ASPIRE effort by using 1) experimental manipulations to understand photoacclimation of the dominant phytoplankton taxa under conditions of varying light and trace metal abundance, 2) nutrient addition bioassays to determine the importance of trace metal versus nitrogen limitation of phytoplankton growth, and 3) a numerical ecosystem model to understand the importance of differences in mixing regime, flow field, and Fe sources in controlling phytoplankton bloom dynamics and community composition in this unusually productive polynya system. The research strategy will integrate satellite remote sensing, field-based experimental manipulations, and numerical modeling. Outreach and education include participation in Stanford's Summer Program for Professional Development for Science Teachers, Stanford's School of Earth Sciences high school internship program, and development of curriculum for local science training centers, including the Chabot Space and Science Center. Undergraduate participation and training will include support for both graduate students and undergraduate assistants. proprietary
NSF-ANT10-43145_1 Bromide in Snow in the Sea Ice Zone AMD_USAPDC STAC Catalog 2011-08-15 2015-07-31 164.1005, -77.8645, 166.7398, -77.1188 https://cmr.earthdata.nasa.gov/search/concepts/C2532070132-AMD_USAPDC.umm_json A range of chemical and microphysical pathways in polar latitudes, including spring time (tropospheric) ozone depletion, oxidative pathways for mercury, and cloud condensation nuclei (CCN) production leading to changes in the cloud cover and attendant surface energy budgets, have been invoked as being dependent upon the emission of halogen gases formed in sea-ice. The prospects for climate warming induced reductions in sea ice extent causing alteration of these incompletely known surface-atmospheric feedbacks and interactions requires confirmation of mechanistic details in both laboratory studies and field campaigns. One such mechanistic question is how bromine (BrO and Br) enriched snow migrates or is formed through processes in sea-ice, prior to its subsequent mobilization as an aerosol fraction into the atmosphere by strong winds. Once aloft, it may react with ozone and other atmospheric species. Dartmouth researchers will collect snow from the surface of sea ice, from freely blowing snow and in sea-ice cores from Cape Byrd, Ross Sea. A range of spectroscopic, microanalytic and and microstructural approaches will be subsequently used to determine the Br distribution gradients through sea-ice, in order to shed light on how sea-ice first forms and then releases bromine species into the polar atmospheric boundary layer. proprietary
NSF-ANT10-43485_1 A New Reconstruction of the Last West Antarctic Ice Sheet Deglaciation in the Ross Sea AMD_USAPDC STAC Catalog 2011-07-01 2015-06-30 -160, -78, -150, -68 https://cmr.earthdata.nasa.gov/search/concepts/C2532069944-AMD_USAPDC.umm_json This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation. proprietary
NSF-ANT10-43485_1 A New Reconstruction of the Last West Antarctic Ice Sheet Deglaciation in the Ross Sea ALL STAC Catalog 2011-07-01 2015-06-30 -160, -78, -150, -68 https://cmr.earthdata.nasa.gov/search/concepts/C2532069944-AMD_USAPDC.umm_json This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation. proprietary
-NSF-ANT10-43517 A new reconstruction of the last West Antarctic Ice Sheet deglaciation in the Ross Sea AMD_USAPDC STAC Catalog 2011-07-01 2015-06-30 163.5, -78.32, 165.35, -77.57 https://cmr.earthdata.nasa.gov/search/concepts/C2532070432-AMD_USAPDC.umm_json This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation. proprietary
NSF-ANT10-43517 A new reconstruction of the last West Antarctic Ice Sheet deglaciation in the Ross Sea ALL STAC Catalog 2011-07-01 2015-06-30 163.5, -78.32, 165.35, -77.57 https://cmr.earthdata.nasa.gov/search/concepts/C2532070432-AMD_USAPDC.umm_json This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation. proprietary
-NSF-ANT10-43554_1 Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins ALL STAC Catalog 2011-07-01 2015-06-30 161.5, -77.5, 161.5, -77.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532070458-AMD_USAPDC.umm_json The PIs propose to address the question of whether ice surface melting zones developed at high elevations during warm climatic phases in the Transantarctic Mountains. Evidence from sediment cores drilled by the ANDRILL program indicates that open water in the Ross Sea could have been a source of warmth during Pliocene and Pleistocene. The question is whether marine warmth penetrated inland to the ice sheet margins. The glacial record may be ill suited to answer this question, as cold-based glaciers may respond too slowly to register brief warmth. Questions also surround possible orbital controls on regional climate and ice sheet margins. Northern Hemisphere insolation at obliquity and precession timescales is thought to control Antarctic climate through oceanic or atmospheric connections, but new thinking suggests that the duration of Southern Hemisphere summer may be more important. The PIs propose to use high elevation alluvial deposits in the Transantarctic Mountains as a proxy for inland warmth. These relatively young fans, channels, and debris flow levees stand out as visible evidence for the presence of melt water in an otherwise ancient, frozen landscape. Based on initial analyses of an alluvial fan in the Olympus Range, these deposits are sensitive recorders of rare melt events that occur at orbital timescales. For their study they will 1) map alluvial deposits using aerial photography, satellite imagery and GPS assisted field surveys to establish water sources and to quantify parameters effecting melt water production, 2) date stratigraphic sequences within these deposits using OSL, cosmogenic nuclide, and interbedded volcanic ash chronologies, 3) use paired nuclide analyses to estimate exposure and burial times, and rates of deposition and erosion, and 4) use micro and regional scale climate modeling to estimate paleoenvironmental conditions associated with melt events. This study will produce a record of inland melting from sites adjacent to ice sheet margins to help determine controls on regional climate along margins of the East Antarctic Ice Sheet to aid ice sheet and sea level modeling studies. The proposal will support several graduate and undergraduates. A PhD student will be supported on existing funding. The PIs will work with multiple K-12 schools to conduct interviews and webcasts from Antarctica and they will make follow up visits to classrooms after the field season is complete. proprietary
+NSF-ANT10-43517 A new reconstruction of the last West Antarctic Ice Sheet deglaciation in the Ross Sea AMD_USAPDC STAC Catalog 2011-07-01 2015-06-30 163.5, -78.32, 165.35, -77.57 https://cmr.earthdata.nasa.gov/search/concepts/C2532070432-AMD_USAPDC.umm_json This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation. proprietary
NSF-ANT10-43554_1 Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins AMD_USAPDC STAC Catalog 2011-07-01 2015-06-30 161.5, -77.5, 161.5, -77.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532070458-AMD_USAPDC.umm_json The PIs propose to address the question of whether ice surface melting zones developed at high elevations during warm climatic phases in the Transantarctic Mountains. Evidence from sediment cores drilled by the ANDRILL program indicates that open water in the Ross Sea could have been a source of warmth during Pliocene and Pleistocene. The question is whether marine warmth penetrated inland to the ice sheet margins. The glacial record may be ill suited to answer this question, as cold-based glaciers may respond too slowly to register brief warmth. Questions also surround possible orbital controls on regional climate and ice sheet margins. Northern Hemisphere insolation at obliquity and precession timescales is thought to control Antarctic climate through oceanic or atmospheric connections, but new thinking suggests that the duration of Southern Hemisphere summer may be more important. The PIs propose to use high elevation alluvial deposits in the Transantarctic Mountains as a proxy for inland warmth. These relatively young fans, channels, and debris flow levees stand out as visible evidence for the presence of melt water in an otherwise ancient, frozen landscape. Based on initial analyses of an alluvial fan in the Olympus Range, these deposits are sensitive recorders of rare melt events that occur at orbital timescales. For their study they will 1) map alluvial deposits using aerial photography, satellite imagery and GPS assisted field surveys to establish water sources and to quantify parameters effecting melt water production, 2) date stratigraphic sequences within these deposits using OSL, cosmogenic nuclide, and interbedded volcanic ash chronologies, 3) use paired nuclide analyses to estimate exposure and burial times, and rates of deposition and erosion, and 4) use micro and regional scale climate modeling to estimate paleoenvironmental conditions associated with melt events. This study will produce a record of inland melting from sites adjacent to ice sheet margins to help determine controls on regional climate along margins of the East Antarctic Ice Sheet to aid ice sheet and sea level modeling studies. The proposal will support several graduate and undergraduates. A PhD student will be supported on existing funding. The PIs will work with multiple K-12 schools to conduct interviews and webcasts from Antarctica and they will make follow up visits to classrooms after the field season is complete. proprietary
-NSF-ANT10-43621 A Comparison of Conjugate Auroral Electojet Indices AMD_USAPDC STAC Catalog 2011-06-01 2013-05-31 -180, -79.5, 180, -54.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532069751-AMD_USAPDC.umm_json The auroral electrojet index (AE) is used as an indicator of geomagnetic activity at high latitudes representing the strength of auroral electrojet currents in the Northern polar ionosphere. A similar AE index for the Southern hemisphere is not available due to lack of complete coverage the Southern auroral zone (half of which extends over the ocean) with continuous magnetometer observations. While in general global auroral phenomena are expected to be conjugate, differences have been observed in the conjugate observations from the ground and from the Earth's satellites. These differences indicate a need for an equivalent Southern auroral geomagnetic activity index. The goal of this award is to create the Southern AE (SAE) index that would accurately reflect auroral activity in that hemisphere. With this index, it would be possible to investigate the similarities and the cause of differences between the SAE and 'standard' AE index from the Northern hemisphere. It would also make it possible to identify when the SAE does not provide a reliable calculation of the Southern hemisphere activity, and to determine when it is statistically beneficial to consider the SAE index in addition to the standard AE while analyzing geospace data from the Northern and Southern polar regions. The study will address these questions by creating the SAE index and its 'near-conjugate' NAE index from collected Antarctic magnetometer data, and will analyze variations in the cross-correlation of these indices and their differences as a function of geomagnetic activity, season, Universal Time, Magnetic Local Time, and interplanetary magnetic field and solar wind plasma parameters. The broader impact resulting from the proposed effort is in its importance to the worldwide geospace scientific community that currently uses only the standard AE index in a variety of geospace models as necessary input. proprietary
+NSF-ANT10-43554_1 Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins ALL STAC Catalog 2011-07-01 2015-06-30 161.5, -77.5, 161.5, -77.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532070458-AMD_USAPDC.umm_json The PIs propose to address the question of whether ice surface melting zones developed at high elevations during warm climatic phases in the Transantarctic Mountains. Evidence from sediment cores drilled by the ANDRILL program indicates that open water in the Ross Sea could have been a source of warmth during Pliocene and Pleistocene. The question is whether marine warmth penetrated inland to the ice sheet margins. The glacial record may be ill suited to answer this question, as cold-based glaciers may respond too slowly to register brief warmth. Questions also surround possible orbital controls on regional climate and ice sheet margins. Northern Hemisphere insolation at obliquity and precession timescales is thought to control Antarctic climate through oceanic or atmospheric connections, but new thinking suggests that the duration of Southern Hemisphere summer may be more important. The PIs propose to use high elevation alluvial deposits in the Transantarctic Mountains as a proxy for inland warmth. These relatively young fans, channels, and debris flow levees stand out as visible evidence for the presence of melt water in an otherwise ancient, frozen landscape. Based on initial analyses of an alluvial fan in the Olympus Range, these deposits are sensitive recorders of rare melt events that occur at orbital timescales. For their study they will 1) map alluvial deposits using aerial photography, satellite imagery and GPS assisted field surveys to establish water sources and to quantify parameters effecting melt water production, 2) date stratigraphic sequences within these deposits using OSL, cosmogenic nuclide, and interbedded volcanic ash chronologies, 3) use paired nuclide analyses to estimate exposure and burial times, and rates of deposition and erosion, and 4) use micro and regional scale climate modeling to estimate paleoenvironmental conditions associated with melt events. This study will produce a record of inland melting from sites adjacent to ice sheet margins to help determine controls on regional climate along margins of the East Antarctic Ice Sheet to aid ice sheet and sea level modeling studies. The proposal will support several graduate and undergraduates. A PhD student will be supported on existing funding. The PIs will work with multiple K-12 schools to conduct interviews and webcasts from Antarctica and they will make follow up visits to classrooms after the field season is complete. proprietary
NSF-ANT10-43621 A Comparison of Conjugate Auroral Electojet Indices ALL STAC Catalog 2011-06-01 2013-05-31 -180, -79.5, 180, -54.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532069751-AMD_USAPDC.umm_json The auroral electrojet index (AE) is used as an indicator of geomagnetic activity at high latitudes representing the strength of auroral electrojet currents in the Northern polar ionosphere. A similar AE index for the Southern hemisphere is not available due to lack of complete coverage the Southern auroral zone (half of which extends over the ocean) with continuous magnetometer observations. While in general global auroral phenomena are expected to be conjugate, differences have been observed in the conjugate observations from the ground and from the Earth's satellites. These differences indicate a need for an equivalent Southern auroral geomagnetic activity index. The goal of this award is to create the Southern AE (SAE) index that would accurately reflect auroral activity in that hemisphere. With this index, it would be possible to investigate the similarities and the cause of differences between the SAE and 'standard' AE index from the Northern hemisphere. It would also make it possible to identify when the SAE does not provide a reliable calculation of the Southern hemisphere activity, and to determine when it is statistically beneficial to consider the SAE index in addition to the standard AE while analyzing geospace data from the Northern and Southern polar regions. The study will address these questions by creating the SAE index and its 'near-conjugate' NAE index from collected Antarctic magnetometer data, and will analyze variations in the cross-correlation of these indices and their differences as a function of geomagnetic activity, season, Universal Time, Magnetic Local Time, and interplanetary magnetic field and solar wind plasma parameters. The broader impact resulting from the proposed effort is in its importance to the worldwide geospace scientific community that currently uses only the standard AE index in a variety of geospace models as necessary input. proprietary
+NSF-ANT10-43621 A Comparison of Conjugate Auroral Electojet Indices AMD_USAPDC STAC Catalog 2011-06-01 2013-05-31 -180, -79.5, 180, -54.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532069751-AMD_USAPDC.umm_json The auroral electrojet index (AE) is used as an indicator of geomagnetic activity at high latitudes representing the strength of auroral electrojet currents in the Northern polar ionosphere. A similar AE index for the Southern hemisphere is not available due to lack of complete coverage the Southern auroral zone (half of which extends over the ocean) with continuous magnetometer observations. While in general global auroral phenomena are expected to be conjugate, differences have been observed in the conjugate observations from the ground and from the Earth's satellites. These differences indicate a need for an equivalent Southern auroral geomagnetic activity index. The goal of this award is to create the Southern AE (SAE) index that would accurately reflect auroral activity in that hemisphere. With this index, it would be possible to investigate the similarities and the cause of differences between the SAE and 'standard' AE index from the Northern hemisphere. It would also make it possible to identify when the SAE does not provide a reliable calculation of the Southern hemisphere activity, and to determine when it is statistically beneficial to consider the SAE index in addition to the standard AE while analyzing geospace data from the Northern and Southern polar regions. The study will address these questions by creating the SAE index and its 'near-conjugate' NAE index from collected Antarctic magnetometer data, and will analyze variations in the cross-correlation of these indices and their differences as a function of geomagnetic activity, season, Universal Time, Magnetic Local Time, and interplanetary magnetic field and solar wind plasma parameters. The broader impact resulting from the proposed effort is in its importance to the worldwide geospace scientific community that currently uses only the standard AE index in a variety of geospace models as necessary input. proprietary
NSF-ANT10-44978 BICEP2 and SPUD - A Search for Inflation with Degree-Scale Polarimetry from the South Pole AMD_USAPDC STAC Catalog 2008-05-15 2017-09-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532070162-AMD_USAPDC.umm_json BICEP2 and SPUD - A Search for Inflation with Degree-Scale Polarimetry from the South Pole. The proposed work is a four-year program of research activities directed toward upgrading the BICEP (Background Imaging of Cosmic Extragalactic Polarization) telescope operating at South Pole since early 2006 to reach far =stretching goals of detection of the Cosmic Gravitational-wave Background (CGB). This telescope is a first Cosmic Microwave Background (CMB) B-mode polarimeter, specifically designed to search for CGB signatures while mapping ~2% of the southern sky that is free of the Milky Way foreground galactic radiation at 100 GH and 150 GHz. The BICEP1 telescope will reach its designed sensitivity by the end of 2008. A coordinated series of upgrades to BICEP1 will provide the increased sensitivity and more exacting control of instrumental effects and potential confusion from galactic foregrounds necessary to search for the B-mode signal more deeply through space. A powerful new 150 GHz receiver, BICEP2, will replace the current detector at the beginning of 2009, increasing the mapping speed almost ten-fold. In 2010, the first of a series of compact, mechanically-cooled receivers (called SPUD - Small Polarimeter Upgrade for DASI) will be deployed on the existing DASI mount and tower, providing similar mapping speed at 100 GHz in parallel with BICEP2. The latter instrument will reach (and exceed with the addition of a SPUD polarimeter) the target sensitivity r = 0.15 set forth by the Interagency (NSF/NASA/DoE) Task Force on CMB Research for a future space mission dedicated to the detection and characterization of primordial gravitational waves. This Task Force has identified detection of the Inflation's gravitational waves as the number one priority for the modern cosmology. More broadly, as the cosmology captures a lot of the public imagination, it is a remarkably effective vehicle for stimulating interest in basic science. The CGB detection would be to Inflation what the discovery of the CMB radiation was to the Big Bang. The project will contribute to the training of the next generation of cosmologists by integrating graduate and undergraduate education with the technology and instrumentation development, astronomical observations and scientific analysis. Sharing of the forefront research results with public extends the new knowledge beyond the universities. This project will be undertaken in collaboration between the California Institute of Technology and the University of Chicago. proprietary
NSF-ANT10-48343_1 CAREER: Deciphering Antarctic Climate Variability during the Temperate/Polar Transition and Improving Climate Change Literacy in Louisiana through a Companion Outreach Program AMD_USAPDC STAC Catalog 2011-03-01 2016-02-29 57.217, -70.373, 153.359, -63.664 https://cmr.earthdata.nasa.gov/search/concepts/C2532069731-AMD_USAPDC.umm_json Intellectual Merit: The PI proposes a high-resolution paleoenvironmental study of pollen, spore, fresh-water algae, and dinoflagellate cyst assemblages to investigate the palynological record of sudden warming events in the Antarctic as recorded by the ANDRILL SMS drill core and terrestrial sections. These data will be used to derive causal mechanisms for these rapid climate events. Terrestrial samples will be obtained at various altitudes in the Dry Valleys region. The pollen and spores will provide data on atmospheric conditions, while the algae will provide data on sea-surface conditions. These data will help identify the triggers for sudden climatic shifts. If they are caused by changes in oceanic currents, a signal will be visible in the dinocyst assemblages first as currents influence their distribution. Conversely, if these shifts are triggered by atmospheric factors, then the shifts will first affect plants and be visible in the pollen record. Broader impacts: The PI proposes a suite of activities to bring field-based climate change research to a broader audience. The PI will advise a diverse group of students and educators. The palynological data collected as part of this research will be utilized, in part, to develop new lectures on Antarctic palynology and these new lectures will be made available via a collaboration with the LSU HHMI program. In addition, the PI will direct three Louisiana middle-school teachers as they pursue a Masters of Natural Science for science educators. These teachers will help the PI develop a professional development program for science teachers. Community-based activities will be organized to raise science awareness and alert students and the public of opportunities in science. proprietary
NSF-ANT10-63592_1 Application for an Early-concept Grant for Exploratory Reasearch (EAGER) to develop a Pathway/Genome Database (PGDB) for the Southern Ocean Haptophyte Phaeocystis Antarctica. AMD_USAPDC STAC Catalog 2011-05-15 2015-04-30 -75.8, -67.12, -62.37, -61.08 https://cmr.earthdata.nasa.gov/search/concepts/C2532069964-AMD_USAPDC.umm_json Phaeocystis antarctica is capable of forming blooms that are denser and more extensive than any other member of the Southern Ocean phytoplankton community. The factors that enable P Antarctica to dominate its competitors are not clear but are likely related to its colonial lifestyle. The goal of the project is to map all the reactions in metabolic pathways that are key to defining the ecological niche of Phaeocystis antarctica by developing a Pathway/Genome Database (PGDB) using Pathway Tools software. The investigators will assign proteins and enzymes to key pathways in P. Antarctica, continually improve and edit the database as the full Phaeocystis genome comes online, and host the database on the BioCyc webpage. The end product will be the first database for a eukaryotic phytoplankton genome where researchers can query extant metabolic pathways and place new proteins and enzymes of interest within metabolic networks. The risk is that a substantial percentage of catalytic enzymes may belong to pathways that are poorly characterized. The science impact is to link genomes to metabolic potential in the context of Phaeocystis life history but also in comparison to other organisms across the tree of life. The education and outreach includes work with a high school teacher and intern and curriculum development. proprietary
@@ -12450,8 +12452,8 @@ NSF-ANT11-42018_1 Adaptive Responses of Phaeocystis Populations in Antarctic Eco
NSF-ANT11-42102 An Integrated Ecological Investigation of McMurdo Dry Valley's Active Soil Microbial Communities AMD_USAPDC STAC Catalog 2012-07-01 2015-06-30 161, -77.5, 164, -77 https://cmr.earthdata.nasa.gov/search/concepts/C2532070421-AMD_USAPDC.umm_json The McMurdo Dry Valleys in Antarctica are among the coldest, driest habitats on the planet. Previous research has documented the presence of surprisingly diverse microbial communities in the soils of the Dry Valleys despite these extreme conditions. However, the degree to which these organisms are active is unknown; it is possible that much of this diversity reflects microbes that have blown into this environment that are subsequently preserved in these cold, dry conditions. This research will use modern molecular techniques to answer a fundamental question regarding these communities: which organisms are active and how do they live in such extreme conditions? The research will include manipulations to explore how changes in water, salt and carbon affect the microbial community, to address the role that these organisms play in nutrient cycling in this environment. The results of this work will provide a broader understanding of how life adapts to such extreme conditions as well as the role of dormancy in the life history of microorganisms. Results will be widely disseminated through publications as well as through presentations at national and international meetings; raw data will be made available through a high-profile web-based portal. The research will support two graduate students, two undergraduate research assistants and a postdoctoral fellow. The results will be incorporated into a webinar targeted to secondary and post-secondary educators and a complimentary hands-on class activity kit will be developed and made available to various teacher and outreach organizations. proprietary
NSF-ANT12-41487 A Planning Workshop for a McMurdo Dry Valleys Terrestrial Observation Network ALL STAC Catalog 2012-06-01 2013-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2532069735-AMD_USAPDC.umm_json This award will support the participation of US scientists in an international planning workshop devoted to discussions of how to best facilitate and coordinate international efforts for terrestrial system studies at the McMurdo Dry Valleys of Antarctica. To date, various aspects of the different Dry Valley landscape features (lakes, soils, glaciers, streams) and their biota have been studied most intensively by US and New Zealand scientists, but these efforts could significantly improve their explanatory power if they were coordinated so as to reduce redundancy, decrease environmental degradation and, most importantly, produce comparable datasets. Additionally, many of the present environmental management programs are based on the past baseline composition and location of biotic communities. As these communities become rearranged across the valleys in the future there is interest in assessing whether today's management plans are adequate. To efficiently move these research programs forward for the McMurdo Dry Valleys requires a coordinated, interdisciplinary, long-term data monitoring and observation network. The ultimate objectives of the workshop are to: i) identify the optimal, complementary suites of measurements required to assess and address key processes associated with environmental change in Dry Valley ecosystems; ii) develop standards and protocols for gathering the most critical biotic and abiotic measurements associated with the key processes driving environmental change; iii) generate a draft data coordination and development plan that will maximize the utility of these data; iv) assess the effectiveness of current McMurdo Dry Valley ASMA (Antarctic Special Management Area) environmental protection guidelines. proprietary
NSF-ANT12-41487 A Planning Workshop for a McMurdo Dry Valleys Terrestrial Observation Network AMD_USAPDC STAC Catalog 2012-06-01 2013-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2532069735-AMD_USAPDC.umm_json This award will support the participation of US scientists in an international planning workshop devoted to discussions of how to best facilitate and coordinate international efforts for terrestrial system studies at the McMurdo Dry Valleys of Antarctica. To date, various aspects of the different Dry Valley landscape features (lakes, soils, glaciers, streams) and their biota have been studied most intensively by US and New Zealand scientists, but these efforts could significantly improve their explanatory power if they were coordinated so as to reduce redundancy, decrease environmental degradation and, most importantly, produce comparable datasets. Additionally, many of the present environmental management programs are based on the past baseline composition and location of biotic communities. As these communities become rearranged across the valleys in the future there is interest in assessing whether today's management plans are adequate. To efficiently move these research programs forward for the McMurdo Dry Valleys requires a coordinated, interdisciplinary, long-term data monitoring and observation network. The ultimate objectives of the workshop are to: i) identify the optimal, complementary suites of measurements required to assess and address key processes associated with environmental change in Dry Valley ecosystems; ii) develop standards and protocols for gathering the most critical biotic and abiotic measurements associated with the key processes driving environmental change; iii) generate a draft data coordination and development plan that will maximize the utility of these data; iv) assess the effectiveness of current McMurdo Dry Valley ASMA (Antarctic Special Management Area) environmental protection guidelines. proprietary
-NSF-ANT13-55533_1 A Multi-decadal Record of Antarctic Benthos: Image Analysis to Maximize Data Utilization ALL STAC Catalog 2013-10-01 2015-09-30 163, -78.5, 167, -78 https://cmr.earthdata.nasa.gov/search/concepts/C2532070231-AMD_USAPDC.umm_json Antarctic benthic communities are characterized by many species of sponges (Phylum Porifera), long thought to exhibit extremely slow demographic patterns of settlement, growth and reproduction. This project will analyze many hundreds of diver and remotely operated underwater vehicle photographs documenting a unique, episodic settlement event that occurred between 2000 and 2010 in McMurdo Sound that challenges this paradigm of slow growth. Artificial structures were placed on the seafloor between 1967 and 1974 at several sites, but no sponges were observed to settle on these structures until 2004. By 2010 some 40 species of sponges had settled and grown to be surprisingly large. Given the paradigm of slow settlement and growth supported by the long observation period (37 years, 1967-2004), this extraordinary large-scale settlement and rapid growth over just a 6-year time span is astonishing. This project utilizes image processing software (ImageJ) to obtain metrics (linear dimensions to estimate size, frequency, percent cover) for sponges and other fauna visible in the photographs. It uses R to conduct multidimensional scaling to ordinate community data and ANOSIM to test for differences of community data among sites and times and structures. It will also use SIMPER and ranked species abundances to discriminate species responsible for any differences. This work focuses on Antarctic sponges, but the observations of massive episodic recruitment and growth are important to understanding seafloor communities worldwide. Ecosystems are composed of populations, and populations are ecologically described by their distribution and abundance. A little appreciated fact is that sponges often dominate marine communities, but because sponges are so hard to study, most workers focus on other groups such as corals, kelps, or bivalves. Because most sponges settle and grow slowly their life history is virtually unstudied. The assumption of relative stasis of the Antarctic seafloor community is common, and this project will shatter this paradigm by documenting a dramatic episodic event. Finally, the project takes advantage of old transects from the 1960s and 1970s and compares them with extensive 2010 surveys of the same habitats and sometimes the same intact transect lines, offering a long-term perspective of community change. The investigators will publish these results in peer-reviewed journals, give presentations to the general public and will involve students from local outreach programs, high schools, and undergraduates at UCSD to help with the analysis. proprietary
NSF-ANT13-55533_1 A Multi-decadal Record of Antarctic Benthos: Image Analysis to Maximize Data Utilization AMD_USAPDC STAC Catalog 2013-10-01 2015-09-30 163, -78.5, 167, -78 https://cmr.earthdata.nasa.gov/search/concepts/C2532070231-AMD_USAPDC.umm_json Antarctic benthic communities are characterized by many species of sponges (Phylum Porifera), long thought to exhibit extremely slow demographic patterns of settlement, growth and reproduction. This project will analyze many hundreds of diver and remotely operated underwater vehicle photographs documenting a unique, episodic settlement event that occurred between 2000 and 2010 in McMurdo Sound that challenges this paradigm of slow growth. Artificial structures were placed on the seafloor between 1967 and 1974 at several sites, but no sponges were observed to settle on these structures until 2004. By 2010 some 40 species of sponges had settled and grown to be surprisingly large. Given the paradigm of slow settlement and growth supported by the long observation period (37 years, 1967-2004), this extraordinary large-scale settlement and rapid growth over just a 6-year time span is astonishing. This project utilizes image processing software (ImageJ) to obtain metrics (linear dimensions to estimate size, frequency, percent cover) for sponges and other fauna visible in the photographs. It uses R to conduct multidimensional scaling to ordinate community data and ANOSIM to test for differences of community data among sites and times and structures. It will also use SIMPER and ranked species abundances to discriminate species responsible for any differences. This work focuses on Antarctic sponges, but the observations of massive episodic recruitment and growth are important to understanding seafloor communities worldwide. Ecosystems are composed of populations, and populations are ecologically described by their distribution and abundance. A little appreciated fact is that sponges often dominate marine communities, but because sponges are so hard to study, most workers focus on other groups such as corals, kelps, or bivalves. Because most sponges settle and grow slowly their life history is virtually unstudied. The assumption of relative stasis of the Antarctic seafloor community is common, and this project will shatter this paradigm by documenting a dramatic episodic event. Finally, the project takes advantage of old transects from the 1960s and 1970s and compares them with extensive 2010 surveys of the same habitats and sometimes the same intact transect lines, offering a long-term perspective of community change. The investigators will publish these results in peer-reviewed journals, give presentations to the general public and will involve students from local outreach programs, high schools, and undergraduates at UCSD to help with the analysis. proprietary
+NSF-ANT13-55533_1 A Multi-decadal Record of Antarctic Benthos: Image Analysis to Maximize Data Utilization ALL STAC Catalog 2013-10-01 2015-09-30 163, -78.5, 167, -78 https://cmr.earthdata.nasa.gov/search/concepts/C2532070231-AMD_USAPDC.umm_json Antarctic benthic communities are characterized by many species of sponges (Phylum Porifera), long thought to exhibit extremely slow demographic patterns of settlement, growth and reproduction. This project will analyze many hundreds of diver and remotely operated underwater vehicle photographs documenting a unique, episodic settlement event that occurred between 2000 and 2010 in McMurdo Sound that challenges this paradigm of slow growth. Artificial structures were placed on the seafloor between 1967 and 1974 at several sites, but no sponges were observed to settle on these structures until 2004. By 2010 some 40 species of sponges had settled and grown to be surprisingly large. Given the paradigm of slow settlement and growth supported by the long observation period (37 years, 1967-2004), this extraordinary large-scale settlement and rapid growth over just a 6-year time span is astonishing. This project utilizes image processing software (ImageJ) to obtain metrics (linear dimensions to estimate size, frequency, percent cover) for sponges and other fauna visible in the photographs. It uses R to conduct multidimensional scaling to ordinate community data and ANOSIM to test for differences of community data among sites and times and structures. It will also use SIMPER and ranked species abundances to discriminate species responsible for any differences. This work focuses on Antarctic sponges, but the observations of massive episodic recruitment and growth are important to understanding seafloor communities worldwide. Ecosystems are composed of populations, and populations are ecologically described by their distribution and abundance. A little appreciated fact is that sponges often dominate marine communities, but because sponges are so hard to study, most workers focus on other groups such as corals, kelps, or bivalves. Because most sponges settle and grow slowly their life history is virtually unstudied. The assumption of relative stasis of the Antarctic seafloor community is common, and this project will shatter this paradigm by documenting a dramatic episodic event. Finally, the project takes advantage of old transects from the 1960s and 1970s and compares them with extensive 2010 surveys of the same habitats and sometimes the same intact transect lines, offering a long-term perspective of community change. The investigators will publish these results in peer-reviewed journals, give presentations to the general public and will involve students from local outreach programs, high schools, and undergraduates at UCSD to help with the analysis. proprietary
NSF-ANT90-24544 Atmospheric Boundary Layer Measurements on the Weddell Sea Drifting Station AMD_USAPDC STAC Catalog 1992-02-21 1992-06-05 -53.8, -71.4, -43.2, -61.2 https://cmr.earthdata.nasa.gov/search/concepts/C2534797194-AMD_USAPDC.umm_json Location: Ice camp on perennial sea ice in the southwestern corner of the Weddell Sea, Antarctic The first direct radiative and turbulent surface flux measurements ever made over floating Antarctic sea ice. The data are from Ice Station Weddell as it drifted in the western Weddell Sea from February to late May 1992. Data Types: Hourly measurements of the turbulent surface fluxes of momentum and sensible and latent heat by eddy covariance at a height of 4.65 m above snow-covered sea ice. Instruments were a 3-axis sonic anemometer/thermometer and a Lyman-alpha hygrometer. Hourly, surface-level measurements of the four radiation components: in-coming and out-going longwave and shortwave radiation. Instruments were hemispherical pyranometers and pyrgeometers. Hourly mean values of standard meteorological variables: air temperature, dew point temperature, wind speed and direction, barometric pressure, surface temperature. Instruments were a propeller-vane for wind speed and direction and cooled-mirror dew-point hygrometers and platinum resistance thermometers for dew-points and temperatures. Surface temperature came from a Barnes PRT-5 infrared thermometer. Flux Data The entire data kit is bundled as a zip file named ISW_Flux_Data.zip The main data file is comma delimited. The README file is ASCII. The associated reprints of publications are in pdf. Radiosounding data: On Ice Station Weddell, typically twice a day from 21 February through 4 June 1992 made with both tethered (i.e., only boundary-layer profiles) and (more rarely) free-flying sondes that did not measure wind speed. (168 soundings). ISW Radiosoundings The entire data kit is bundled as a zip file named ISW_Radiosounding.zip. The README file is in ASCII. Two summary files that include the list of sounding and the declinations are in ASCII. The 168 individual sounding files are in ASCII. Two supporting publications that describe the data and some analyses are in pdf. Radiosounding data collected from the Russian ship Akademic Fedorov from 26 May through 5 June 1992 at 6-hourly intervals as it approached Ice Station Weddell from the north. These soundings include wind vector, temperature, humidity, and pressure. (40 soundings) Akademic Federov Radiosoundings The entire data kit is bundled as a zip file named Akad_Federov_Radiosounding.zip. The README file is in ASCII. A summary file that lists the soundings is in ASCII. The 40 individual sounding files are in ASCII. Two supporting publications that describe the data and some analyses are in pdf. Documentation: Andreas, E. L, and K. J. Claffey, 1995: Air-ice drag coefficients in the western Weddell Sea: 1. Values deduced from profile measurements. Journal of Geophysical Research, 100, 4821–4831. Andreas, E. L, K. J. Claffey, and A. P. Makshtas, 2000: Low-level atmospheric jets and inversions over the western Weddell Sea. Boundary-Layer Meteorology, 97, 459–486. Andreas, E. L, R. E. Jordan, and A. P. Makshtas, 2004: Simulations of snow, ice, and near-surface atmospheric processes on Ice Station Weddell. Journal of Hydrometeorology, 5, 611–624. Andreas, E. L, R. E. Jordan, and A. P. Makshtas, 2005: Parameterizing turbulent exchange over sea ice: The Ice Station Weddell results. Boundary-Layer Meteorology, 114, 439–460. Andreas, E. L, P. O. G. Persson, R. E. Jordan, T. W. Horst, P. S. Guest, A. A. Grachev, and C. W. Fairall, 2010: Parameterizing turbulent exchange over sea ice in winter. Journal of Hydrometeorology, 11, 87–104. Claffey, K. J., E. L Andreas, and A. P. Makshtas, 1994: Upper-air data collected on Ice Station Weddell. Special Report 94-25, U.S. Army Cold Regions Research and Engineering Laboratory, Hanover, NH, 62 pp. ISW Group, 1993: Weddell Sea exploration from ice station. Eos, Transactions, American Geophysical Union, 74, 121–126. Makshtas, A. P., E. L Andreas, P. N. Svyaschennikov, and V. F. Timachev, 1999: Accounting for clouds in sea ice models. Atmospheric Research, 52, 77–113. proprietary
NSF-BWZ_0 National Science Foundation (NSF)-Blue Water Zone (BWZ) measurements OB_DAAC STAC Catalog 2004-02-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360531-OB_DAAC.umm_json Measurements taken in the Blue Water Zone (BWZ) under NSF funding near Antarctica and Drakes Passage in 2004 to 2006. proprietary
NSF_Gulf_Rapid_0 NSF Collaborative Research: A RAPID response to Hurricane Harvey impacts on coastal carbon cycle, metabolic balance and ocean acidification OB_DAAC STAC Catalog 2017-09-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1719969318-OB_DAAC.umm_json Collaborative Research: A RAPID response to Hurricane Harvey's impacts on coastal carbon cycle, metabolic balance and ocean acidification. proprietary
@@ -12538,8 +12540,8 @@ NSIDC-0314_1 Atmospheric CO2 and Climate: Byrd Ice Core, Antarctica AMD_USAPDC S
NSIDC-0315_1 Atmospheric CO2 and Climate: Taylor Dome Ice Core, Antarctica AMD_USAPDC STAC Catalog 1970-01-01 158, -77.666667, 158, -77.666667 https://cmr.earthdata.nasa.gov/search/concepts/C2532070838-AMD_USAPDC.umm_json Using new and existing ice core CO2 data from 65 - 30 ka BP a new chronology for Taylor Dome ice core CO2 is established and synchronized with Greenland ice core records to study how high latitude climate change and the carbon cycle were linked during the last glacial period. The new data and chronology should provide a better target for models attempting to explain CO2 variability and abrupt climate change. proprietary
NSIDC-0318_1 Antarctic Mean Annual Temperature Map AMD_USAPDC STAC Catalog 1957-01-01 2003-12-31 -180, -90, 180, -65 https://cmr.earthdata.nasa.gov/search/concepts/C2532070844-AMD_USAPDC.umm_json The Mean Annual Temperature map was calculated by creating a contour map using compiled 10 meter firn temperature data from NSIDC and other mean annual temperature data from both cores and stations. The 10 meter data contains temperature measurements dating back to 1957 and the International Geophysical Year, including measurements from several major recent surveys. Data cover the entire continental ice sheet and several ice shelves, but coverage density is generally low. Data are stored in Microsoft Excel and Tagged Image File Format (TIFF), and are available sporadically from 1957 to 2003 via FTP. proprietary
NSIDC-0321_1 Global EASE-Grid 8-day Blended SSM/I and MODIS Snow Cover, Version 1 NSIDCV0 STAC Catalog 2000-03-05 2008-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386250333-NSIDCV0.umm_json This data set comprises global, 8-day Snow-Covered Area (SCA) and Snow Water Equivalent (SWE) data from 2000 through 2008. Global SWE data are derived from the Special Sensor Microwave Imager (SSM/I) and are enhanced with MODIS/Terra Snow Cover 8-Day Level 3 Global 0.05 degree Climate Modeling Grid (CMG) data. Global data are gridded to the Northern and Southern 25 km Equal-Area Scalable Earth Grids (EASE-Grids). These data are suitable for continental-scale time-series studies of snow cover and snow water equivalent. proprietary
-NSIDC-0326_1 Ablation Rates of Taylor Glacier, Antarctica ALL STAC Catalog 2002-11-19 2011-01-12 160.1, -77.9, 162.2, -77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2532070867-AMD_USAPDC.umm_json This data set provides glacier surface ablation rates for a network of approximately 250 sites on Taylor Glacier, spanning a period from 2003 to 2011. Here sublimation is the dominant ablation mechanism, though a few sites have accumulation. Ablation data are provided in meters water equivalent per year. Data are available via FTP in space-delimited ASCII format. proprietary
NSIDC-0326_1 Ablation Rates of Taylor Glacier, Antarctica AMD_USAPDC STAC Catalog 2002-11-19 2011-01-12 160.1, -77.9, 162.2, -77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2532070867-AMD_USAPDC.umm_json This data set provides glacier surface ablation rates for a network of approximately 250 sites on Taylor Glacier, spanning a period from 2003 to 2011. Here sublimation is the dominant ablation mechanism, though a few sites have accumulation. Ablation data are provided in meters water equivalent per year. Data are available via FTP in space-delimited ASCII format. proprietary
+NSIDC-0326_1 Ablation Rates of Taylor Glacier, Antarctica ALL STAC Catalog 2002-11-19 2011-01-12 160.1, -77.9, 162.2, -77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2532070867-AMD_USAPDC.umm_json This data set provides glacier surface ablation rates for a network of approximately 250 sites on Taylor Glacier, spanning a period from 2003 to 2011. Here sublimation is the dominant ablation mechanism, though a few sites have accumulation. Ablation data are provided in meters water equivalent per year. Data are available via FTP in space-delimited ASCII format. proprietary
NSIDC-0334_1 Airborne Laser Altimetry of the Thwaites Glacier Catchment, West Antarctica ALL STAC Catalog 2004-12-10 2005-01-29 -130, -80, -95, -75 https://cmr.earthdata.nasa.gov/search/concepts/C2532070878-AMD_USAPDC.umm_json This data set includes airborne altimetry collected over the catchment and main trunk of Thwaites Glacier, one of Antarctica's most active ice streams. The airborne altimetry comprises 35,000 line-kilometers sampled at 20 meters along track. The full dataset has an internal error of �20 cm; a primary subset has an error of �8 cm. We find a +20 cm bias with Geoscience Laser Altimeter System data over a flat interior region. These data will serve as an additional temporal reference for the evolution of Thwaites Glacier surface, as well as aid the construction of future high resolution Digital Elevation Models (DEM). Line data are available in space-delimited ASCII format and are available via FTP. proprietary
NSIDC-0334_1 Airborne Laser Altimetry of the Thwaites Glacier Catchment, West Antarctica AMD_USAPDC STAC Catalog 2004-12-10 2005-01-29 -130, -80, -95, -75 https://cmr.earthdata.nasa.gov/search/concepts/C2532070878-AMD_USAPDC.umm_json This data set includes airborne altimetry collected over the catchment and main trunk of Thwaites Glacier, one of Antarctica's most active ice streams. The airborne altimetry comprises 35,000 line-kilometers sampled at 20 meters along track. The full dataset has an internal error of �20 cm; a primary subset has an error of �8 cm. We find a +20 cm bias with Geoscience Laser Altimeter System data over a flat interior region. These data will serve as an additional temporal reference for the evolution of Thwaites Glacier surface, as well as aid the construction of future high resolution Digital Elevation Models (DEM). Line data are available in space-delimited ASCII format and are available via FTP. proprietary
NSIDC-0336_1 Antarctic Subglacial Lake Classification Inventory AMD_USAPDC STAC Catalog 1998-12-01 2001-02-28 -160, -90, 15, -70 https://cmr.earthdata.nasa.gov/search/concepts/C2532070882-AMD_USAPDC.umm_json This data set is an Antarctic radar-based subglacial lake classification collection, which focuses on the radar reflection properties of each given lake. The Subglacial lakes are separated into four categories specified by radar reflection properties. Additional information includes: latitude, longitude, length (in kilometers), hydro-potential (in meters), bed elevation (in meters above WGS84), and ice thickness (in meters). Source data used to compile this data set were collected between 1998 and 2001. Data are available via FTP as a Microsoft Excel Spreadsheet (XLS), and Tagged Image File Format (TIF). proprietary
@@ -12572,8 +12574,8 @@ NSIDC-0504_1 Alkanes in Firn Air Samples, Antarctica and Greenland AMD_USAPDC ST
NSIDC-0504_1 Alkanes in Firn Air Samples, Antarctica and Greenland ALL STAC Catalog 2005-12-01 2009-01-31 -38.3833, -79.47, 112.09, 72.5833 https://cmr.earthdata.nasa.gov/search/concepts/C2532070980-AMD_USAPDC.umm_json This data set contains ethane, propane, and n-butane measurements in firn air from the South Pole and the West Antarctic Ice Sheet (WAIS) Divide in Antarctica, and from Summit, Greenland. The WAIS Divide and South Pole samples were collected in December to January of of 2005/06 and 2008/09, respectively. The Summit firn was sampled in the summer of 2006. Analyses were conducted on a gas chromatography - mass spectrometry (GC-MS) system at the University of California, Irvine. Measurements and the associated uncertainties are reported as dry air molar mixing ratios in part per trillion (ppt). The reported measurements for each sampling depth represent a mean of multiple measurements on more than one flask in most cases. Data are available via FTP in Microsoft Excel (.xls) format. proprietary
NSIDC-0515_1 Annual Layers at Siple Dome, Antarctica, from Borehole Optical Stratigraphy AMD_USAPDC STAC Catalog 2000-12-15 2001-11-15 -148.82, -81.66, -148.82, -81.66 https://cmr.earthdata.nasa.gov/search/concepts/C2532070824-AMD_USAPDC.umm_json Researchers gathered data on annual snow layers at Siple Dome, Antarctica, using borehole optical stratigraphy. This data set contains annual layer depths and firn optical brightness. The brightness log is a record of reflectivity of the firn, and peaks in brightness are interpreted to be fine-grained high-density winter snow, as part of the wind slab depth-hoar couplet. Data are available via FTP in ASCII text (.txt) format proprietary
NSIDC-0516_1 Antarctic Peninsula 100 m Digital Elevation Model Derived from ASTER GDEM AMD_USAPDC STAC Catalog 2000-01-01 2009-12-31 -70, -70, -55, -63 https://cmr.earthdata.nasa.gov/search/concepts/C2532070816-AMD_USAPDC.umm_json This data set provides a 100 meter resolution surface topography Digital Elevation Model (DEM) of the Antarctic Peninsula. The DEM is based on Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) data. proprietary
-NSIDC-0517_1 AGASEA Ice Thickness Profile Data from the Amundsen Sea Embayment, Antarctica AMD_USAPDC STAC Catalog 2004-12-10 2005-01-29 -125, -83, -90, -73 https://cmr.earthdata.nasa.gov/search/concepts/C2532070806-AMD_USAPDC.umm_json This data set contains line-based radar-derived ice thickness and bed elevation data, collected as part of the Airborne Geophysical Survey of the Amundsen Embayment (AGASEA) expedition, which took place over Thwaites Glacier in West Antarctica from 2004 to 2005. The data set includes ice thickness, ice sheet bed elevation, and ice sheet surface elevation, derived from ice-penetrating radar and aircraft GPS positions. The data are spaced on a 15 km by 15 km grid over the entire catchment of the glacier, and sampled at approximately 15 meters along track. Most of the radar data used for this dataset has been processed using a 1-D focusing algorithm, to reduce the along track resolution to tens of meters, to improve boundary conditions for ice sheet models. Data are available via FTP in space-delimited ASCII format. proprietary
NSIDC-0517_1 AGASEA Ice Thickness Profile Data from the Amundsen Sea Embayment, Antarctica ALL STAC Catalog 2004-12-10 2005-01-29 -125, -83, -90, -73 https://cmr.earthdata.nasa.gov/search/concepts/C2532070806-AMD_USAPDC.umm_json This data set contains line-based radar-derived ice thickness and bed elevation data, collected as part of the Airborne Geophysical Survey of the Amundsen Embayment (AGASEA) expedition, which took place over Thwaites Glacier in West Antarctica from 2004 to 2005. The data set includes ice thickness, ice sheet bed elevation, and ice sheet surface elevation, derived from ice-penetrating radar and aircraft GPS positions. The data are spaced on a 15 km by 15 km grid over the entire catchment of the glacier, and sampled at approximately 15 meters along track. Most of the radar data used for this dataset has been processed using a 1-D focusing algorithm, to reduce the along track resolution to tens of meters, to improve boundary conditions for ice sheet models. Data are available via FTP in space-delimited ASCII format. proprietary
+NSIDC-0517_1 AGASEA Ice Thickness Profile Data from the Amundsen Sea Embayment, Antarctica AMD_USAPDC STAC Catalog 2004-12-10 2005-01-29 -125, -83, -90, -73 https://cmr.earthdata.nasa.gov/search/concepts/C2532070806-AMD_USAPDC.umm_json This data set contains line-based radar-derived ice thickness and bed elevation data, collected as part of the Airborne Geophysical Survey of the Amundsen Embayment (AGASEA) expedition, which took place over Thwaites Glacier in West Antarctica from 2004 to 2005. The data set includes ice thickness, ice sheet bed elevation, and ice sheet surface elevation, derived from ice-penetrating radar and aircraft GPS positions. The data are spaced on a 15 km by 15 km grid over the entire catchment of the glacier, and sampled at approximately 15 meters along track. Most of the radar data used for this dataset has been processed using a 1-D focusing algorithm, to reduce the along track resolution to tens of meters, to improve boundary conditions for ice sheet models. Data are available via FTP in space-delimited ASCII format. proprietary
NSIDC-0522_1 Coastal and Terminus History of the Eastern Amundsen Sea Embayment, West Antarctica, 1972 - 2011 AMD_USAPDC STAC Catalog 1947-01-01 2011-11-30 -110, -76, -100, -74 https://cmr.earthdata.nasa.gov/search/concepts/C2532070771-AMD_USAPDC.umm_json This data set provides a coastline history of the eastern Amundsen Sea Embayment and terminus histories of its outlet glaciers derived from those coastlines. These outlet glaciers include Smith, Haynes, Thwaites, and Pine Island Glaciers. The coastlines were derived from detailed tracing of Landsat imagery between late 1972 and late 2011 (at a scale of 1:50,000). The data set also uses some additional data from other sources. The terminus histories are calculated as the intersections between these coastlines and 1996 flowlines. Data are available via FTP in ESRI shapefile and comma separated value (.csv) formats. proprietary
NSIDC-0525_1 MEaSUREs InSAR-Based Ice Velocity Maps of Central Antarctica: 1997 and 2009 V001 NSIDC_ECS STAC Catalog 1997-09-09 2009-12-31 -180, -90, 180, -72 https://cmr.earthdata.nasa.gov/search/concepts/C1353062834-NSIDC_ECS.umm_json "This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of two high-resolution digital mosaics of ice motion in Central Antarctica. The mosaics were assembled from satellite interferometric synthetic-aperture radar (InSAR) data acquired by RADARSAT-1 in 1997 and by RADARSAT-2 in 2009. See Antarctic Ice Sheet Velocity and Mapping Data for related data." proprietary
NSIDC-0530_1 MEaSUREs Northern Hemisphere Terrestrial Snow Cover Extent Daily 25km EASE-Grid 2.0 V001 NSIDC_ECS STAC Catalog 1999-01-01 2012-12-31 -180, 0, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000001840-NSIDC_ECS.umm_json This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, offers users 25 km Northern Hemisphere snow cover extent represented by four different variables. Three of the snow cover variables are derived from the Interactive Multisensor Snow and Ice Mapping System, MODIS Cloud Gap Filled Snow Cover, and passive microwave brightness temperatures, respectively. The fourth variable merges the three source products into a single representation of snow cover. proprietary
@@ -12663,8 +12665,8 @@ NVAP_OCEAN_Total-Precipitable-Water_1 NASA Water Vapor Project MEaSUREs (NVAP-M)
NVAP_WEATHER_Layered-Precipitable-Water_1 NASA Water Vapor Project MEaSUREs (NVAP-M) WEATHER Layered Precipitable Water LARC_ASDC STAC Catalog 1988-01-01 2009-12-01 180, -90, -179.9, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1596748680-LARC_ASDC.umm_json NVAP_WEATHER_Layered-Precipitable-Water data set is designed to provide higher spatial and temporal resolution products for use in studies on shorter time scales as well as weather case studies. Land GPS sites were added beginning in 1997. The new NASA Water Vapor Project (NVAP) data sets are produced under the NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) program and is named NVAP-M. It supersedes the previous NVAP data set. NVAP-M continues the legacy of providing high-quality, model-independent global estimates of total column and layered water vapor. The use of improved, intercalibrated data sets and algorithms that were not available for the heritage NVAP data set results in an improved and extended water vapor data set that is stable enough for climate research and of a resolution appropriate for studies on smaller spatial and temporal scales. The true value of NVAP-M will be seen in outcomes from applied and research users of the data set in various fields. Some initial NVAP-M findings are presented in Vonder Haar et al. (2012). In addition to the time-dependent artifacts present in the previous NVAP data set, a wealth of new data has become available since the last NVAP processing in 2003. These include an additional SSM/I instrument, additional NOAA satellites, the NASA Earth Observing System (EOS)-Aqua Satellite, which carries the Atmospheric Infrared Sounder (AIRS), as well as water vapor information from Global Positioning System (GPS) satellites. This extension and reprocessing effort increases the temporal coverage from 14 to 22 (1988-2009) years, making the data set more useful and consistent for investigation of the long-term trends which are hypothesized to occur as Earth warms. In addition to the long-standing daily, 1-degree gridded Total Precipitable Water (TPW) and layered Precipitable Water (PW) products, NVAP-M includes additional products geared towards different scientific needs. Three separate processing streams produced products directed towards specific research goals. These are NVAP-M Climate, designed to provide the most stable water vapor data set over time for use in climate applications, and NVAP-M Weather, designed to provide higher spatial and temporal resolution products for use in studies on shorter time scales as well as weather case studies. Additionally, an ocean-only (NVAP-M Ocean) version includes only data from the SSM/I and is intended to mirror other available SSM/I-only water vapor data sets. proprietary
NVAP_WEATHER_Total-Precipitable-Water_1 NASA Water Vapor Project MEaSUREs (NVAP-M) NVAP WEATHER Total Precipitable Water LARC_ASDC STAC Catalog 1988-01-01 2009-12-01 180, -90, -179.9, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1600355222-LARC_ASDC.umm_json NVAP_WEATHER_Total-Precipitable-Water data set is designed to provide higher spatial and temporal resolution products for use in studies on shorter time scales as well as weather case studies. The new NASA Water Vapor Project (NVAP) data sets are produced under the NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) program and is named NVAP-M. It supersedes the previous NVAP data set. NVAP-M continues the legacy of providing high-quality, model-independent global estimates of total column and layered water vapor. The use of improved, intercalibrated data sets and algorithms that were not available for the heritage NVAP data set results in an improved and extended water vapor data set that is stable enough for climate research and of a resolution appropriate for studies on smaller spatial and temporal scales. The true value of NVAP-M will be seen in outcomes from applied and research users of the data set in various fields. Some initial NVAP-M findings are presented in Vonder Haar et al. (2012). In addition to the time-dependent artifacts present in the previous NVAP data set, a wealth of new data has become available since the last NVAP processing in 2003. These include an additional SSM/I instrument, additional NOAA satellites, the NASA Earth Observing System (EOS)-Aqua Satellite, which carries the Atmospheric Infrared Sounder (AIRS), as well as water vapor information from Global Positioning System (GPS) satellites. This extension and reprocessing effort increases the temporal coverage from 14 to 22 (1988-2009) years, making the data set more useful and consistent for investigation of the long-term trends which are hypothesized to occur as Earth warms. In addition to the long-standing daily, 1-degree gridded Total Precipitable Water (TPW) and layered Precipitable Water (PW) products, NVAP-M includes additional products geared towards different scientific needs. Three separate processing streams produced products directed towards specific research goals. These are NVAP-M Climate, designed to provide the most stable water vapor data set over time for use in climate applications, and NVAP-M Weather, designed to provide higher spatial and temporal resolution products for use in studies on shorter time scales as well as weather case studies. Additionally, an ocean-only (NVAP-M Ocean) version includes only data from the SSM/I and is intended to mirror other available SSM/I-only water vapor data sets. proprietary
NWS0007 Compilation/Evaluation of Historical Tsunamis in the Pacific Using the USGS/NEIC Earthquake Data, NOAA/NGDC Tsunami Data, and Imamura-Iida Scale CEOS_EXTRA STAC Catalog 1690-01-01 95, -60, -65, 65 https://cmr.earthdata.nasa.gov/search/concepts/C2231550342-CEOS_EXTRA.umm_json These data sets are based on an area-by-area study of the Pacific Basin to document historical tsunamis and quantify historical coastal damage both near the source and at far-field locations. An operational modification of the Imamura-Iida Scale is used for this purpose. proprietary
-NWT_Burn_Severity_Maps_1694_1 ABoVE: Burn Severity of Soil Organic Matter, Northwest Territories, Canada, 2014-2015 ALL STAC Catalog 2014-05-01 2015-10-01 -124.03, 58.29, -108.83, 65.55 https://cmr.earthdata.nasa.gov/search/concepts/C2143402644-ORNL_CLOUD.umm_json This dataset provides maps at 30-m resolution of landscape surface burn severity (surface litter and soil organic layers) from the 2014-2015 fires in the Northwest Territories and Northern Alberta, Canada. The maps were derived from Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) imagery and two separate multiple linear regression models trained with field data; one for the Plains and a second for the Shield ecoregion. Field observations were used to estimate area burned in each of five severity classes (unburned, singed, light, moderate, severely burned) in six stratified randomly selected plots of 10 x 10-m in size across a 1-ha site. Using this five class scale a burn severity index (BSI) for each 1-ha site was calculated using multiple weighted and averaged field parameters. Pre- and post-fire phenologically paired Landsat 8 images were used to model the five discrete severity classes using midpoints as breaks. proprietary
NWT_Burn_Severity_Maps_1694_1 ABoVE: Burn Severity of Soil Organic Matter, Northwest Territories, Canada, 2014-2015 ORNL_CLOUD STAC Catalog 2014-05-01 2015-10-01 -124.03, 58.29, -108.83, 65.55 https://cmr.earthdata.nasa.gov/search/concepts/C2143402644-ORNL_CLOUD.umm_json This dataset provides maps at 30-m resolution of landscape surface burn severity (surface litter and soil organic layers) from the 2014-2015 fires in the Northwest Territories and Northern Alberta, Canada. The maps were derived from Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) imagery and two separate multiple linear regression models trained with field data; one for the Plains and a second for the Shield ecoregion. Field observations were used to estimate area burned in each of five severity classes (unburned, singed, light, moderate, severely burned) in six stratified randomly selected plots of 10 x 10-m in size across a 1-ha site. Using this five class scale a burn severity index (BSI) for each 1-ha site was calculated using multiple weighted and averaged field parameters. Pre- and post-fire phenologically paired Landsat 8 images were used to model the five discrete severity classes using midpoints as breaks. proprietary
+NWT_Burn_Severity_Maps_1694_1 ABoVE: Burn Severity of Soil Organic Matter, Northwest Territories, Canada, 2014-2015 ALL STAC Catalog 2014-05-01 2015-10-01 -124.03, 58.29, -108.83, 65.55 https://cmr.earthdata.nasa.gov/search/concepts/C2143402644-ORNL_CLOUD.umm_json This dataset provides maps at 30-m resolution of landscape surface burn severity (surface litter and soil organic layers) from the 2014-2015 fires in the Northwest Territories and Northern Alberta, Canada. The maps were derived from Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) imagery and two separate multiple linear regression models trained with field data; one for the Plains and a second for the Shield ecoregion. Field observations were used to estimate area burned in each of five severity classes (unburned, singed, light, moderate, severely burned) in six stratified randomly selected plots of 10 x 10-m in size across a 1-ha site. Using this five class scale a burn severity index (BSI) for each 1-ha site was calculated using multiple weighted and averaged field parameters. Pre- and post-fire phenologically paired Landsat 8 images were used to model the five discrete severity classes using midpoints as breaks. proprietary
NW_microcosm_results_1 Mineralisation results using 14C octadecane at a range of water, nutrient levels and freeze thaw cycles AU_AADC STAC Catalog 2001-06-01 2001-10-29 110.45953, -66.31249, 110.59637, -66.261 https://cmr.earthdata.nasa.gov/search/concepts/C1214313663-AU_AADC.umm_json Geochemical, microbial and 14C data on remediation of petroleum hydrocarbons in Antarctica. This record is part of ASAC project 1163 (ASAC_1163). Microcosm study using Old Casey petroleum hydrocarbon contaminated sediment investgating the effect of water, nutrients and freze/thaw cycles on biodegradation. Temperature range -4 to 28 degrees. Microcosms with three different levels of nutrients and three different levels of water were investigated. The experiment was run over 95 days. Degradation was traced by radiometric methods and total aliphatic hydrocarbons were measured by gas chromatography. Radiometric data in file radiometric_01.xls, Gas Chromatography data in file gc_01.xls. This work was completed as part of ASAC project 1163 (ASAC_1163). The radiometric spreadsheet is divided up as follows: CODES is a summary of what went into each microcosm. CALCULATIONS is how much nutrients, water, radioactivity was added to the sediment. SUMMARY is what went into each microcosm flask. CT1, CT2 etc is the raw data, what was measured and calculations of radioactivity and recovery of isotope. Note that the Evaporation flasks (i.e., E10a) the number refers to the temperature that the flasks were incubated at, 'a' and 'b' refer to duplicates. AVERAGE is the average recoveries and first order rates of the triplicate microcosm for each treatment. GRAPHS is the graphs. The fields in this dataset are: Days Hours Initial flask weight NaOH removed NaOH added Weight of NaOH (g) Count (dpm) Discarded dpm's Volume NaOH (ml) dpm in trap Absolute dpm's %dpm recovered millimole octadecane mineralised proprietary
NatalMuseum Natal Museum - Mollusc Collection (Bivalvia and Gastropoda) CEOS_EXTRA STAC Catalog 1894-01-01 2005-07-09 11.38667, -43.19167, 55.13334, -11 https://cmr.earthdata.nasa.gov/search/concepts/C2232477685-CEOS_EXTRA.umm_json The Natal Museum's Department of Mollusca had its origins in the shell collection and library of Henry Burnup, a dedicated amateur who was honorary curator of molluscs until his death in 1928. Subsequently, the collection has been expanded many times over through field work, donation, exchange and purchase. Its historical value was greatly increased by absorption of important shell collections housed the Transvaal Museum (1978) and Albany Museum (1980), as well as the Rodney Wood collection from the Seychelles received from the Mutare Museum in Zimbabwe and the Kurt Grosch collection, built up over 25 years of residence in northern Mozambique. The mollusc collection now ranks among the 15 largest in the world and is certainly the largest both in Africa and on the Indian Ocean rim. It currently contains 7233 Bivalvia records, and 20112 Gastropoda records (total 27345 records of 282 families). The collection will be updated in the near future. proprietary
Nested_DGGE_1 Molecular comparison of bacterial diversity in uncontaminated and hydrocarbon contaminated marine sediment AU_AADC STAC Catalog 1997-11-01 1998-11-30 110.32471, -66.51764, 110.67627, -66.2226 https://cmr.earthdata.nasa.gov/search/concepts/C1214313662-AU_AADC.umm_json Sediment samples which were originally collected as part of ASAC 868 (ASAC_868) are now being investigated using molecular microbial techniques as part of ASAC 1228 (ASAC_1228). Samples were collected in a nested survey design in two hydrocarbon impacted areas and two unimpacted areas. Denaturing gradient gel electrophoresis (DGGE) of a region of the 16S RNA gene was used to investigate the microbial community structure. Banding patterns obtained from the DGGE were transformed into a presence / absence matrix and analysed with a multivariate statistical approach. The download file contains an excel spreadsheet, a csv version of the data, plus a readme file. proprietary
@@ -12698,8 +12700,8 @@ NmTHIRmtg-1T_1 Nimbus Temperature-Humidity Infrared Radiometer Global Montage Gr
Nome_Veg_Plots_1372_1 Arctic Vegetation Plots at Nome, Alaska, 1951 ORNL_CLOUD STAC Catalog 1951-07-30 1951-08-02 -165.26, 64.63, -165.26, 64.63 https://cmr.earthdata.nasa.gov/search/concepts/C2170969899-ORNL_CLOUD.umm_json This data set provides environmental, soil, and vegetation data collected in July and August 1951 from 80 study plots in the Nome River Valley about 10 miles northeast of Nome, Alaska on the Seward Peninsula. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in plant communities that were found to occur in 5 broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species and cover, and soil characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping and analysis of geo-botanical factors in the Nome River Valley and across Alaska. proprietary
Non-Forest_Trees_Sahara_Sahel_1832_1 An Unexpectedly Large Count of Trees in the West African Sahara and Sahel ORNL_CLOUD STAC Catalog 2005-11-01 2018-03-31 -18, 11.35, -5.49, 24.03 https://cmr.earthdata.nasa.gov/search/concepts/C2761798565-ORNL_CLOUD.umm_json This dataset provides georeferenced polygon vectors of individual tree canopy geometries for dryland areas in West African Sahara and Sahel that were derived using deep learning applied to 50-cm resolution satellite imagery. More than 1.8 billion non-forest trees (i.e., woody plants with a crown size over 3 m2) over about 1.3 million km2 were identified from panchromatic and pansharpened normalized difference vegetation index (NDVI) images at 0.5-m spatial resolution using an automatic tree detection framework based on supervised deep-learning techniques. Combined with existing and future fieldwork, these data lay the foundation for a comprehensive database that contains information on all individual trees outside of forests and could provide accurate estimates of woody carbon in arid and semi-arid areas throughout the Earth for the first time. proprietary
Nongrowing_Season_CO2_Flux_1692_1 Synthesis of Winter In Situ Soil CO2 Flux in pan-Arctic and Boreal Regions, 1989-2017 ORNL_CLOUD STAC Catalog 1989-09-01 2017-04-30 -163.71, 53.88, 161.99, 78.92 https://cmr.earthdata.nasa.gov/search/concepts/C2143403370-ORNL_CLOUD.umm_json This dataset provides a synthesis of winter ( September-April) in situ soil CO2 flux measurement data from locations across pan-Arctic and Boreal permafrost regions. The in situ data were compiled from 66 published and 21 unpublished studies conducted from 1989-2017. The data sources (publication references) are provided. Sampling sites spanned pan-Arctic Boreal and tundra regions (>53 Deg N) in continuous, discontinuous, and isolated/sporadic permafrost zones. The CO2 flux measurements were aggregated at the monthly level, or seasonally when monthly data were not available, and are reported as the daily average (g C m-2 day-1) over the interval. Soil moisture and temperature data plus environmental and ecological model driver data (e.g., vegetation type and productivity, soil substrate availability) are also included based on gridded satellite remote sensing and reanalysis sources. proprietary
-NorthSlope_NEE_TVPRM_1920_1 ABoVE: TVPRM Simulated Net Ecosystem Exchange, Alaskan North Slope, 2008-2017 ORNL_CLOUD STAC Catalog 2008-01-01 2017-12-31 -177.47, 56.09, -128.59, 77.26 https://cmr.earthdata.nasa.gov/search/concepts/C2240727916-ORNL_CLOUD.umm_json This dataset includes hourly net ecosystem exchange (NEE) simulated by the Tundra Vegetation Photosynthesis and Respiration Model (TVPRM) at 30 km horizontal resolution for the Alaskan North Slope for 2008-2017. TVPRM calculates tundra NEE from air temperature, soil temperature, photosynthetically active radiation (PAR), and solar-induced chlorophyll fluorescence (SIF) using functional relationships derived from eddy covariance tower measurements. These relationships were then scaled over the region using gridded meteorology and a vegetation map. The site-level CO2 fluxes fell into two distinct ecosystem groups: inland tundra (ICS, ICT, ICH, IVO) and coastal tundra (ATQ, BES, BEO, CMDL). The expanded modeling framework allowed for the easy substitution of ecological behaviors and environmental drivers, including the choice of representative inland tundra site, coastal tundra site, vegetation map (CAVM, RasterCAVM, or ABoVE-LC), meteorological reanalysis product (NARR or ERA5), and SIF product (GOME2, GOSIF, or CSIF). Using all of these variations generated an ensemble of 288 different TVPRM simulations of regional CO2 flux and one additional simulation option with added aquatic and zero curtain fluxes (AqZC). proprietary
NorthSlope_NEE_TVPRM_1920_1 ABoVE: TVPRM Simulated Net Ecosystem Exchange, Alaskan North Slope, 2008-2017 ALL STAC Catalog 2008-01-01 2017-12-31 -177.47, 56.09, -128.59, 77.26 https://cmr.earthdata.nasa.gov/search/concepts/C2240727916-ORNL_CLOUD.umm_json This dataset includes hourly net ecosystem exchange (NEE) simulated by the Tundra Vegetation Photosynthesis and Respiration Model (TVPRM) at 30 km horizontal resolution for the Alaskan North Slope for 2008-2017. TVPRM calculates tundra NEE from air temperature, soil temperature, photosynthetically active radiation (PAR), and solar-induced chlorophyll fluorescence (SIF) using functional relationships derived from eddy covariance tower measurements. These relationships were then scaled over the region using gridded meteorology and a vegetation map. The site-level CO2 fluxes fell into two distinct ecosystem groups: inland tundra (ICS, ICT, ICH, IVO) and coastal tundra (ATQ, BES, BEO, CMDL). The expanded modeling framework allowed for the easy substitution of ecological behaviors and environmental drivers, including the choice of representative inland tundra site, coastal tundra site, vegetation map (CAVM, RasterCAVM, or ABoVE-LC), meteorological reanalysis product (NARR or ERA5), and SIF product (GOME2, GOSIF, or CSIF). Using all of these variations generated an ensemble of 288 different TVPRM simulations of regional CO2 flux and one additional simulation option with added aquatic and zero curtain fluxes (AqZC). proprietary
+NorthSlope_NEE_TVPRM_1920_1 ABoVE: TVPRM Simulated Net Ecosystem Exchange, Alaskan North Slope, 2008-2017 ORNL_CLOUD STAC Catalog 2008-01-01 2017-12-31 -177.47, 56.09, -128.59, 77.26 https://cmr.earthdata.nasa.gov/search/concepts/C2240727916-ORNL_CLOUD.umm_json This dataset includes hourly net ecosystem exchange (NEE) simulated by the Tundra Vegetation Photosynthesis and Respiration Model (TVPRM) at 30 km horizontal resolution for the Alaskan North Slope for 2008-2017. TVPRM calculates tundra NEE from air temperature, soil temperature, photosynthetically active radiation (PAR), and solar-induced chlorophyll fluorescence (SIF) using functional relationships derived from eddy covariance tower measurements. These relationships were then scaled over the region using gridded meteorology and a vegetation map. The site-level CO2 fluxes fell into two distinct ecosystem groups: inland tundra (ICS, ICT, ICH, IVO) and coastal tundra (ATQ, BES, BEO, CMDL). The expanded modeling framework allowed for the easy substitution of ecological behaviors and environmental drivers, including the choice of representative inland tundra site, coastal tundra site, vegetation map (CAVM, RasterCAVM, or ABoVE-LC), meteorological reanalysis product (NARR or ERA5), and SIF product (GOME2, GOSIF, or CSIF). Using all of these variations generated an ensemble of 288 different TVPRM simulations of regional CO2 flux and one additional simulation option with added aquatic and zero curtain fluxes (AqZC). proprietary
North_Carolina_Coast_0 Measurements made off the North Carolina coast OB_DAAC STAC Catalog 2001-04-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360528-OB_DAAC.umm_json Measurements made off the North Carolina coast. proprietary
North_Carolina_Sabrina_0 Measurements from the Outer Banks and coastal regions of North Carolina onboard the R/V Sabrina OB_DAAC STAC Catalog 2002-09-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360529-OB_DAAC.umm_json Measurements taken by the research vessel Sabrina in the Outer Banks and coastal regions of North Carolina in 2002 and 2003. proprietary
North_Sea_0 Measurements taken in the North Sea in 1994 OB_DAAC STAC Catalog 1994-07-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360530-OB_DAAC.umm_json Measurements taken in the North Sea in 1994. proprietary
@@ -12819,80 +12821,80 @@ OCO3_L2_Standard_10 OCO-3 Level 2 geolocated XCO2 retrievals results, physical m
OCO3_L2_Standard_10r OCO-3 Level 2 geolocated XCO2 retrievals results, physical model, Retrospective Processing V10r (OCO3_L2_Standard) at GES DISC GES_DISC STAC Catalog 2019-08-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2082387252-GES_DISC.umm_json Version 10r is the current version of the data set. Older versions will no longer be available and are superseded by Version 10r. The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations. The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol. proprietary
OCO3_L2_Standard_11 OCO-3 Level 2 geolocated XCO2 retrievals results, physical model, Forward Processing V11 (OCO3_L2_Standard) at GES DISC GES_DISC STAC Catalog 2019-08-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3272764617-GES_DISC.umm_json Version 11 is the current version of the data set. Older versions will no longer be available and are superseded by Version 11. The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations. The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol. proprietary
OCO3_L2_Standard_11r OCO-3 Level 2 geolocated XCO2 retrievals results, physical model, Retrospective Processing V11r (OCO3_L2_Standard) at GES DISC GES_DISC STAC Catalog 2019-08-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2910086890-GES_DISC.umm_json Version 11r is the current version of the data set. Older versions will no longer be available and are superseded by Version 11r. The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations. The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol. proprietary
-OCTS_L1_1 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Data Regional Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034340-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L1_1 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Data Regional Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034340-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L1_2 ADEOS-I OCTS Level-1A Data, version 2 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834679-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L1_1 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Data Regional Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034340-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L1_2 ADEOS-I OCTS Level-1A Data, version 2 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834679-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L1_2 ADEOS-I OCTS Level-1A Data, version 2 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834679-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L2_IOP_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Inherent Optical Properties (IOP) Regional Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034360-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L2_IOP_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Inherent Optical Properties (IOP) Regional Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034360-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L2_IOP_2022.0 ADEOS-I OCTS Level-2 Regional Inherent Optical Properties (IOP) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834690-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L2_IOP_2022.0 ADEOS-I OCTS Level-2 Regional Inherent Optical Properties (IOP) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834690-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L2_OC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Ocean Color (OC) Regional Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034380-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L2_IOP_2022.0 ADEOS-I OCTS Level-2 Regional Inherent Optical Properties (IOP) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834690-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L2_OC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Ocean Color (OC) Regional Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034380-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L2_OC_2022.0 ADEOS-I OCTS Level-2 Regional Ocean Color (OC) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834711-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L2_OC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Ocean Color (OC) Regional Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034380-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L2_OC_2022.0 ADEOS-I OCTS Level-2 Regional Ocean Color (OC) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834711-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3b_CHL_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Chlorophyll (CHL) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034361-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L2_OC_2022.0 ADEOS-I OCTS Level-2 Regional Ocean Color (OC) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834711-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_CHL_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Chlorophyll (CHL) Global Binned Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034361-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3b_CHL_2022.0 ADEOS-I OCTS Level-3 Global Binned Chlorophyll (CHL) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834719-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3b_CHL_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Chlorophyll (CHL) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034361-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_CHL_2022.0 ADEOS-I OCTS Level-3 Global Binned Chlorophyll (CHL) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834719-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3b_CHL_2022.0 ADEOS-I OCTS Level-3 Global Binned Chlorophyll (CHL) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834719-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_IOP_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Inherent Optical Properties (IOP) Global Binned Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034381-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_IOP_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Inherent Optical Properties (IOP) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034381-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3b_IOP_2022.0 ADEOS-I OCTS Level-3 Global Binned Inherent Optical Properties (IOP) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834731-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_IOP_2022.0 ADEOS-I OCTS Level-3 Global Binned Inherent Optical Properties (IOP) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834731-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3b_IOP_2022.0 ADEOS-I OCTS Level-3 Global Binned Inherent Optical Properties (IOP) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834731-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_KD_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Global Binned Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034362-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_KD_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034362-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_KD_2022.0 ADEOS-I OCTS Level-3 Global Binned Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834737-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_KD_2022.0 ADEOS-I OCTS Level-3 Global Binned Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834737-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3b_PAR_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Photosynthetically Available Radiation (PAR) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034341-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_PAR_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Photosynthetically Available Radiation (PAR) Global Binned Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034341-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3b_PAR_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Photosynthetically Available Radiation (PAR) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034341-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_PAR_2022.0 ADEOS-I OCTS Level-3 Global Binned Photosynthetically Active Radiation (PAR) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834749-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_PAR_2022.0 ADEOS-I OCTS Level-3 Global Binned Photosynthetically Active Radiation (PAR) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834749-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3b_PIC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate Inorganic Carbon (PIC) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034363-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_PIC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate Inorganic Carbon (PIC) Global Binned Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034363-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3b_PIC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate Inorganic Carbon (PIC) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034363-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_PIC_2022.0 ADEOS-I OCTS Level-3 Global Binned Particulate Inorganic Carbon (PIC) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834762-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_PIC_2022.0 ADEOS-I OCTS Level-3 Global Binned Particulate Inorganic Carbon (PIC) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834762-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_POC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate Organic Carbon (POC) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034382-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_POC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate Organic Carbon (POC) Global Binned Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034382-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_POC_2022.0 ADEOS-I OCTS Level-3 Global Binned Particulate Organic Carbon (POC) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834780-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_POC_2022.0 ADEOS-I OCTS Level-3 Global Binned Particulate Organic Carbon (POC) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834780-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3b_RRS_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Remote-Sensing Reflectance (RRS) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034364-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_RRS_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Remote-Sensing Reflectance (RRS) Global Binned Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034364-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3b_RRS_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Remote-Sensing Reflectance (RRS) Global Binned Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034364-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_RRS_2022.0 ADEOS-I OCTS Level-3 Global Binned Remote-Sensing Reflectance (RRS) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834794-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3b_RRS_2022.0 ADEOS-I OCTS Level-3 Global Binned Remote-Sensing Reflectance (RRS) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834794-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_CHL_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Chlorophyll (CHL) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034342-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_CHL_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Chlorophyll (CHL) Global Mapped Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034342-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_CHL_2022.0 ADEOS-I OCTS Level-3 Global Mapped Chlorophyll (CHL) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834809-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_CHL_2022.0 ADEOS-I OCTS Level-3 Global Mapped Chlorophyll (CHL) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834809-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3m_IOP_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Inherent Optical Properties (IOP) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034365-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_IOP_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Inherent Optical Properties (IOP) Global Mapped Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034365-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3m_IOP_2022.0 ADEOS-I OCTS Level-3 Global Mapped Inherent Optical Properties (IOP) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834819-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3m_IOP_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Inherent Optical Properties (IOP) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034365-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_IOP_2022.0 ADEOS-I OCTS Level-3 Global Mapped Inherent Optical Properties (IOP) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834819-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3m_KD_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Global Mapped Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034383-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3m_IOP_2022.0 ADEOS-I OCTS Level-3 Global Mapped Inherent Optical Properties (IOP) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834819-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_KD_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034383-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3m_KD_2022.0 ADEOS-I OCTS Level-3 Global Mapped Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834825-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3m_KD_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Global Mapped Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034383-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_KD_2022.0 ADEOS-I OCTS Level-3 Global Mapped Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834825-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3m_KD_2022.0 ADEOS-I OCTS Level-3 Global Mapped Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834825-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_PAR_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Photosynthetically Available Radiation (PAR) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034366-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_PAR_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Photosynthetically Available Radiation (PAR) Global Mapped Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034366-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_PAR_2022.0 ADEOS-I OCTS Level-3 Global Mapped Photosynthetically Active Radiation (PAR) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834829-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_PAR_2022.0 ADEOS-I OCTS Level-3 Global Mapped Photosynthetically Active Radiation (PAR) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834829-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3m_PIC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate Inorganic Carbon (PIC) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034384-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_PIC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate Inorganic Carbon (PIC) Global Mapped Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034384-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3m_PIC_2022.0 ADEOS-I OCTS Level-3 Global Mapped Particulate Inorganic Carbon (PIC) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834831-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3m_PIC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate Inorganic Carbon (PIC) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034384-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_PIC_2022.0 ADEOS-I OCTS Level-3 Global Mapped Particulate Inorganic Carbon (PIC) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834831-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3m_PIC_2022.0 ADEOS-I OCTS Level-3 Global Mapped Particulate Inorganic Carbon (PIC) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834831-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_POC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate Organic Carbon (POC) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034367-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_POC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate Organic Carbon (POC) Global Mapped Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034367-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_POC_2022.0 ADEOS-I OCTS Level-3 Global Mapped Particulate Organic Carbon (POC) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834842-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_POC_2022.0 ADEOS-I OCTS Level-3 Global Mapped Particulate Organic Carbon (POC) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834842-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3m_RRS_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Remote-Sensing Reflectance (RRS) Global Mapped Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034385-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_RRS_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Remote-Sensing Reflectance (RRS) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034385-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-OCTS_L3m_RRS_2022.0 ADEOS-I OCTS Level-3 Global Mapped Remote-Sensing Reflectance (RRS) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834849-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3m_RRS_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Remote-Sensing Reflectance (RRS) Global Mapped Data ALL STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034385-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_RRS_2022.0 ADEOS-I OCTS Level-3 Global Mapped Remote-Sensing Reflectance (RRS) Data, version 2022.0 ALL STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834849-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
+OCTS_L3m_RRS_2022.0 ADEOS-I OCTS Level-3 Global Mapped Remote-Sensing Reflectance (RRS) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834849-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
ODIN.SMR_5.0 ODIN SMR data products ESA STAC Catalog 2001-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689700-ESA.umm_json The latest Odin Sub-Millimetre Radiometer (SMR) datasets have been generated by Chalmers University of Technology and Molflow within the Odin-SMR Recalibration and Harmonisation project (http://odin.rss.chalmers.se/), funded by the European Space Agency (ESA) to create a fully consistent and homogeneous dataset from the 20 years of satellite operations. The Odin satellite was launched in February 2001 as a joint undertaking between Sweden, Canada, France and Finland, and is part of the ESA Third Party Missions (TPM) programme since 2007. The complete Odin-SMR data archive was reprocessed applying a revised calibration scheme and upgraded algorithms. The Level 1b dataset is entirely reconsolidated, while Level 2 products are regenerated for the main mesospheric and stratospheric frequency modes (i.e., FM 01, 02, 08, 13, 14, 19, 21, 22, 24). The resulting dataset represents the first full-mission reprocessing campaign of the mission, which is still in operation. proprietary
ODU_CBM_0 Old Dominion University (ODU) - Chesapeake Bay Mouth (CBM) measurements OB_DAAC STAC Catalog 2004-05-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360566-OB_DAAC.umm_json Measurements made of the Chesapeake Bay Mouth (CBM) by Old Dominion University (ODU) between 2004 and 2006. proprietary
-OFR_94-212 A Compilation of Sulfur Dioxide and Carbon Dioxide Emission-Rate Data from Mount St. Helens during 1980-88 USGS Open File Report 94-212 ALL STAC Catalog 1980-05-01 1988-09-06 -122, 46, -122, 46 https://cmr.earthdata.nasa.gov/search/concepts/C2232411623-CEOS_EXTRA.umm_json Airborne monitoring of Mount St. Helens by the USGS began in May 1980 for sulfur dioxide emissions and in July 1980 for carbon dioxide emissions. A correlation spectrometer, or COSPEC, was used to measure sulfur dioxide in Mount St. Helens' plume. The upward-looking COSPEC was mounted in a fixed-wing aircraft and flown below and at right angles to the plume. Typically, three to six traverses were made underneath the plume to determine the SO2 burden (concentration x pathlength) within a cross-section of the plume. Knowing the burden along with the plume width and plume velocity (assumed to be the same as ambient wind speed), we could then calculate the emission rate of SO2. The use of correlation spectroscopy for determining the sulfur dioxide output of volcanoes is well established and the technique has been discussed in detail by a number of investigators (Malinconico, 1979; Casadevall and others, 1981; Stoiber and others, 1983). Carbon dioxide in the Mount St. Helens plume was measured by an infrared spectrometer tuned to the 4.26 um CO2 absorption band. An external sample tube was attached to the fuselage of a twin-engine aircraft to deliver outside air to the gas cell of the spectrometer. The aircraft was then flown at several different elevations through the plume at right angles to plume trajectory to define plume area and carbon dioxide concentration in a vertical cross-section of the plume. These two parameters along with the density of CO2 for the altitude of the plume and the plume velocity (assumed as above to be equal to ambient wind speed) were then used to calculate the CO2 emission rate (Harris and others, 1981). proprietary
OFR_94-212 A Compilation of Sulfur Dioxide and Carbon Dioxide Emission-Rate Data from Mount St. Helens during 1980-88 USGS Open File Report 94-212 CEOS_EXTRA STAC Catalog 1980-05-01 1988-09-06 -122, 46, -122, 46 https://cmr.earthdata.nasa.gov/search/concepts/C2232411623-CEOS_EXTRA.umm_json Airborne monitoring of Mount St. Helens by the USGS began in May 1980 for sulfur dioxide emissions and in July 1980 for carbon dioxide emissions. A correlation spectrometer, or COSPEC, was used to measure sulfur dioxide in Mount St. Helens' plume. The upward-looking COSPEC was mounted in a fixed-wing aircraft and flown below and at right angles to the plume. Typically, three to six traverses were made underneath the plume to determine the SO2 burden (concentration x pathlength) within a cross-section of the plume. Knowing the burden along with the plume width and plume velocity (assumed to be the same as ambient wind speed), we could then calculate the emission rate of SO2. The use of correlation spectroscopy for determining the sulfur dioxide output of volcanoes is well established and the technique has been discussed in detail by a number of investigators (Malinconico, 1979; Casadevall and others, 1981; Stoiber and others, 1983). Carbon dioxide in the Mount St. Helens plume was measured by an infrared spectrometer tuned to the 4.26 um CO2 absorption band. An external sample tube was attached to the fuselage of a twin-engine aircraft to deliver outside air to the gas cell of the spectrometer. The aircraft was then flown at several different elevations through the plume at right angles to plume trajectory to define plume area and carbon dioxide concentration in a vertical cross-section of the plume. These two parameters along with the density of CO2 for the altitude of the plume and the plume velocity (assumed as above to be equal to ambient wind speed) were then used to calculate the CO2 emission rate (Harris and others, 1981). proprietary
-OFR_95-55 A Compilation of Sulphur Dioxide and Carbon Dioxide Emission-Rate Data from Cook Inlet Volcanoes, Alaska During the Period from 1990 to 1994 ALL STAC Catalog 1990-03-20 1994-07-07 -154, 56, -152, 62 https://cmr.earthdata.nasa.gov/search/concepts/C2232411611-CEOS_EXTRA.umm_json This report contains all of the available daily sulfur dioxide and carbon dioxide emission rates from Cook Inlet volcanoes as determined by the U.S. Geological Survey (USGS) from March 1990 through July 1994. Airborne sulfur dioxide gas sampling of the Cook Inlet volcanoes (Redoubt, Spurr, Iliamna, and Augustine) began in 1986 when several measurements were carried out at Augustine volcano during the eruption of 1986. Systematic monitoring for sulfur dioxide and carbon dioxide began in March 1990 at Redoubt volcano and continues to the present. Intermittent measurements at Augustine and Iliamna volcanoes began in 1990 and continues to the present. Intermittent measurements began at Spurr volcano in 1991, and were continued at more regular intervals from June, 1992 through the 1992 eruption at the Crater Peak vent to the present. proprietary
+OFR_94-212 A Compilation of Sulfur Dioxide and Carbon Dioxide Emission-Rate Data from Mount St. Helens during 1980-88 USGS Open File Report 94-212 ALL STAC Catalog 1980-05-01 1988-09-06 -122, 46, -122, 46 https://cmr.earthdata.nasa.gov/search/concepts/C2232411623-CEOS_EXTRA.umm_json Airborne monitoring of Mount St. Helens by the USGS began in May 1980 for sulfur dioxide emissions and in July 1980 for carbon dioxide emissions. A correlation spectrometer, or COSPEC, was used to measure sulfur dioxide in Mount St. Helens' plume. The upward-looking COSPEC was mounted in a fixed-wing aircraft and flown below and at right angles to the plume. Typically, three to six traverses were made underneath the plume to determine the SO2 burden (concentration x pathlength) within a cross-section of the plume. Knowing the burden along with the plume width and plume velocity (assumed to be the same as ambient wind speed), we could then calculate the emission rate of SO2. The use of correlation spectroscopy for determining the sulfur dioxide output of volcanoes is well established and the technique has been discussed in detail by a number of investigators (Malinconico, 1979; Casadevall and others, 1981; Stoiber and others, 1983). Carbon dioxide in the Mount St. Helens plume was measured by an infrared spectrometer tuned to the 4.26 um CO2 absorption band. An external sample tube was attached to the fuselage of a twin-engine aircraft to deliver outside air to the gas cell of the spectrometer. The aircraft was then flown at several different elevations through the plume at right angles to plume trajectory to define plume area and carbon dioxide concentration in a vertical cross-section of the plume. These two parameters along with the density of CO2 for the altitude of the plume and the plume velocity (assumed as above to be equal to ambient wind speed) were then used to calculate the CO2 emission rate (Harris and others, 1981). proprietary
OFR_95-55 A Compilation of Sulphur Dioxide and Carbon Dioxide Emission-Rate Data from Cook Inlet Volcanoes, Alaska During the Period from 1990 to 1994 CEOS_EXTRA STAC Catalog 1990-03-20 1994-07-07 -154, 56, -152, 62 https://cmr.earthdata.nasa.gov/search/concepts/C2232411611-CEOS_EXTRA.umm_json This report contains all of the available daily sulfur dioxide and carbon dioxide emission rates from Cook Inlet volcanoes as determined by the U.S. Geological Survey (USGS) from March 1990 through July 1994. Airborne sulfur dioxide gas sampling of the Cook Inlet volcanoes (Redoubt, Spurr, Iliamna, and Augustine) began in 1986 when several measurements were carried out at Augustine volcano during the eruption of 1986. Systematic monitoring for sulfur dioxide and carbon dioxide began in March 1990 at Redoubt volcano and continues to the present. Intermittent measurements at Augustine and Iliamna volcanoes began in 1990 and continues to the present. Intermittent measurements began at Spurr volcano in 1991, and were continued at more regular intervals from June, 1992 through the 1992 eruption at the Crater Peak vent to the present. proprietary
+OFR_95-55 A Compilation of Sulphur Dioxide and Carbon Dioxide Emission-Rate Data from Cook Inlet Volcanoes, Alaska During the Period from 1990 to 1994 ALL STAC Catalog 1990-03-20 1994-07-07 -154, 56, -152, 62 https://cmr.earthdata.nasa.gov/search/concepts/C2232411611-CEOS_EXTRA.umm_json This report contains all of the available daily sulfur dioxide and carbon dioxide emission rates from Cook Inlet volcanoes as determined by the U.S. Geological Survey (USGS) from March 1990 through July 1994. Airborne sulfur dioxide gas sampling of the Cook Inlet volcanoes (Redoubt, Spurr, Iliamna, and Augustine) began in 1986 when several measurements were carried out at Augustine volcano during the eruption of 1986. Systematic monitoring for sulfur dioxide and carbon dioxide began in March 1990 at Redoubt volcano and continues to the present. Intermittent measurements at Augustine and Iliamna volcanoes began in 1990 and continues to the present. Intermittent measurements began at Spurr volcano in 1991, and were continued at more regular intervals from June, 1992 through the 1992 eruption at the Crater Peak vent to the present. proprietary
OFR_95-78_1 Geometeorological data collected by the USGS Desert Winds Project at Gold Spring, Great Basin Desert, northeastern Arizona, 1979-1992 CEOS_EXTRA STAC Catalog 1979-01-27 1992-12-31 -111, 35, -111, 35 https://cmr.earthdata.nasa.gov/search/concepts/C2231550505-CEOS_EXTRA.umm_json This data set contains meteorological data files pertaining to the Gold Spring Geomet research site. Documentation files and data-accessing display software are also included. The meteorological data are wind speed, peak gust, wind direction, precipitation, air temperature, soil temperature, barometric pressure, and humidity. Data from the monitoring station are voluminous; 14 observations from each station are made as often as ten times per hour, totaling more than a million observations per station per year. proprietary
OISSS_L4_multimission_7day_v1_1.0 Multi-Mission Optimally Interpolated Sea Surface Salinity Global Dataset V1 POCLOUD STAC Catalog 2011-08-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2095055342-POCLOUD.umm_json This is a level 4 product on a 0.25-degree spatial and 4-day temporal grid. The product is derived from the level 2 swath data of three satellite missions: the Aquarius/SAC-D, Soil Moisture Active Passive (SMAP) and Soil Moisture and Ocean Salinity (SMOS) using Optimal Interpolation (OI) with a 7-day decorrelation time scale. The product offers a continuous record from August 28, 2011 to present by concatenating the measurements from Aquarius (September 2011 - June 2015) and SMAP (April 2015 present). ESAs SMOS data was used to fill the gap in SMAP data between June and July 2019, when the SMAP satellite was in a safe mode. The two-month overlap (April - June 2015) between Aquarius and SMAP was used to ensure consistency and continuity in data record. The product covers the global ocean, including the Arctic and Antarctic in the areas free of sea ice, but does not cover internal seas such as Mediterranean and Baltic Sea. In-situ salinity from Argo floats and moored buoys are used to derive a large-scale bias correction and to ensure consistency and accuracy of the OISSS dataset. This dataset is produced by the International Pacific Research Center (IPRC) of the University of Hawaii at Manoa in collaboration with the Remote Sensing Systems (RSS), Santa Rosa, California. More details can be found in the users guide. proprietary
OISSS_L4_multimission_7day_v2_2.0 Multi-Mission Optimally Interpolated Sea Surface Salinity Global Dataset V2 POCLOUD STAC Catalog 2011-08-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2589160971-POCLOUD.umm_json This is a level 4 product on a 0.25-degree spatial and 4-day temporal grid. The product is derived from the level 2 swath data of three satellite missions: the Aquarius/SAC-D, Soil Moisture Active Passive (SMAP) and Soil Moisture and Ocean Salinity (SMOS) using Optimal Interpolation (OI) with a 7-day decorrelation time scale. The product offers a continuous record from August 28, 2011 to present by concatenating the measurements from Aquarius (September 2011 - June 2015) and SMAP (April 2015 present). ESAs SMOS data was used to fill the gap in SMAP data between June and July 2019, when the SMAP satellite was in a safe mode. The two-month overlap (April - June 2015) between Aquarius and SMAP was used to ensure consistency and continuity in data record. The product covers the global ocean, including the Arctic and Antarctic in the areas free of sea ice, but does not cover internal seas such as Mediterranean and Baltic Sea. In-situ salinity from Argo floats and moored buoys are used to derive a large-scale bias correction and to ensure consistency and accuracy of the OISSS dataset. This dataset is produced by the Earth and Space Research (ESR), Seattle, WA and the International Pacific Research Center (IPRC) of the University of Hawaii at Manoa in collaboration with the Remote Sensing Systems (RSS), Santa Rosa, California. More details can be found in the users guide. proprietary
@@ -12983,8 +12985,8 @@ OMAEROZ_003 OMI/Aura Aerosol product Multi-wavelength Algorithm Zoomed 1-Orbit L
OMAERO_003 OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERO) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966755-GES_DISC.umm_json The Level-2 Aura Ozone Monitoring Instrument (OMI) Aerosol Product (OMAERO) is now available from NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for public access. This is the second public release of version 003. The data was re-processed in late 2011 using an improved algorithm (processing version 1.2.3.1). After some quick validation the reprocessed data was released to the public in March 2012. The shortname for this Level-2 Aerosol Product is OMAERO_V003. There are two Level-2 Aura OMI aerosol products OMAERUV and OMAERO. The OMAERUV product uses the near-UV algorithm. The OMAERO product is based on the multi-wavelength algorithm and that uses up to 20 wavelength bands between 331 nm and 500 nm. OMAERO retrieval algorithm is developed by the KNMI OMI Team Scientists. Drs. Deborah Stein-Zweers, Martin Sneep and Pepijn Veefkind are now the key investigators of this product. The OMAERO product contains Aerosol Optical Depths, Single Scattering Albedo, and other ancillary and geolocation information. The OMAERO files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERO data product is about 6 Mbytes. proprietary
OMAEROe_003 OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3 (OMAEROe) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136062-GES_DISC.umm_json The OMI science team produces this Level-3 Aura/OMI Global Aerosol Data Products OMAEROe (0.25deg Lat/Lon grids). The OMAEROe product selects best aerosol value from the Level2G good quality data that are reported in each grid, based on the multi-wavelength algorithm that uses up to 20 wavelength bands between 331 nm and 500 nm. The selection criteria is based on the shortest optical path length (secant of solar zenith angle + secant of viewing zenith angle). The OMAEROe files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAEROe data product is about 7 Mbytes. (The shortname for this Level-3 Global Gridded Aerosol Product is OMAEROe) proprietary
OMAERUVG_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMAERUVG) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136097-GES_DISC.umm_json This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 AERUV product OMAERUV. This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 Aerosol product OMAERUV. OMAERUVG data product is a special Level-2 gridded product where pixel level products are binned into 0.25x0.25 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMAERUVG files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits mapped on the Global 0.25x0.25 deg Grids. The maximum file size for the OMAERUVG data product is about 50 Mbytes. proprietary
-OMAERUV_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.umm_json The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ proprietary
OMAERUV_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.umm_json The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. proprietary
+OMAERUV_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.umm_json The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ proprietary
OMAERUV_004 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V004 (OMAERUV) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3185856256-GES_DISC.umm_json The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product OMAERUV (Version 004) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Optical Depth, Aerosol Single Scattering Albedo, Absorption Optical Depth, UV Aerosol Index, and Aerosol Optical Depth over clouds at three wavelengths (354, 388, and 500 nm), and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). The OMAERUV files are stored in the version 4.0 Network Common Data Form (NetCDF). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 17 Mbytes. proprietary
OMAERUV_CPR_003 OMI/Aura Level 2 Near UV Aerosol Optical Depth and Single Scattering Albedo 200-m swath subset along CloudSat track V003 (OMAERUV_CPR) at GES DISC GES_DISC STAC Catalog 2006-06-01 2017-05-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350969-GES_DISC.umm_json This is a CloudSat-collocated subset of the original OMI product OMAERUV, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this CloudSat-collocated OMI Level 2 near-UV aerosol subset is OMAERUV_CPR_003) proprietary
OMAERUVd_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo L3 1 day 1.0 degree x 1.0 degree V3 (OMAERUVd) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136096-GES_DISC.umm_json The OMI science team produces this Level-3 daily global gridded product OMAERUVd (1 deg Lat/Lon grids). The OMAERUVd product is produced with all data pixels that fall in a grid box with quality filtered and then averaged, based on the pixel level OMI Level-2 Aerosol data product OMAERUV. The OMAERUV data product is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data. The OMAERUVd data product contains extinction and absorption optical depths at three wavelenghts (355 nm, 388 nm and 500 nm). The OMAERUVd files are stored in version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAERUVd data product is about 0.2 Mbytes. proprietary
@@ -13085,8 +13087,8 @@ OMTO3_003 OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT OM
OMTO3_003 OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.umm_json The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia. The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB. proprietary
OMTO3_CPR_003 OMI/Aura Level 2 Ozone (O3) Total Column 1-Orbit Subset and Collocated Swath along CloudSat track 200-km wide at 13x24 km2 resolution GES_DISC STAC Catalog 2006-06-01 2018-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350982-GES_DISC.umm_json This is a CloudSat-collocated subset of the original product OMTO3, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this CloudSat-collocated OMI Level 2 Total Ozone Column subset is OMTO3_CPR_V003) proprietary
OMTO3d_003 OMI/Aura TOMS-Like Ozone, Aerosol Index, Cloud Radiance Fraction L3 1 day 1 degree x 1 degree V3 (OMTO3d) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136070-GES_DISC.umm_json The OMI science team produces this Level-3 daily global TOMS-Like Total Column Ozone gridded product OMTO3d (1 deg Lat/Lon grids). The OMTO3d product is produced by gridding and averaging only good quality level-2 total column ozone orbital swath data (OMTO3, based on the enhanced TOMS version-8 algorithm) on the 1x1 degree global grids. The OMTO3d files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3d data product is about 0.65 Mbytes. proprietary
-OMTO3e_003 OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.umm_json The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) . proprietary
OMTO3e_003 OMI/Aura TOMS-Like Ozone and Radiative Cloud Fraction L3 1 day 0.25 degree x 0.25 degree V3 (OMTO3e) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136071-GES_DISC.umm_json The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. The OMTO3e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. proprietary
+OMTO3e_003 OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.umm_json The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) . proprietary
OMUANC_004 Primary Ancillary Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km V4 (OMUANC) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2556143653-GES_DISC.umm_json The Primary Ancillary Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km (OMUANC) provides selected parameters from GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI UV-2 swath. The fields in this product include snow cover, sea ice cover, land cover, terrain height, row anomaly flag, and pixel area. The OMI team also provides a corresponding product for the OMI VIS swath, OMVANC. This product has been generated for convenient use by the OMI/Aura team in their L2 algorithms, and for research where those L2 products are used. The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI UV-2 spatial resolution is 13km x 24km at nadir. The OMUANC files are in netCDF4 format which is compatible with most netCDF and HDF5 readers and tools. Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official. proprietary
OMUFPITMET_003 GEOS-5 FP-IT Assimilation Geo-colocated to OMI/Aura UV-2 1-Orbit L2 Support Swath 13x24km V3 (OMUFPITMET) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1561222825-GES_DISC.umm_json The GEOS-5 FP-IT Assimilation Geo-colocated to OMI/Aura UV-2 1-Orbit L2 Support Swath 13x24km (OMUFPITMET) provides selected parameters from GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI UV-2 swath. The fields in this product include surface pressure, vertical temperature profiles, surface and vertical wind profiles, tropopause pressure, boundary layer top pressure, and surface geopotenial. The OMI team also provides a corresponding product for the OMI VIS swath, OMVFPITMET. The product has been generated for convenient use by the OMI/Aura team in their L2 algorithms, and for research where those L2 products are used. The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI UV-2 spatial resolution is 13km x 24km at nadir. To reduce the size of each orbital file, FP-IT data fields with a vertical dimension of 72 layers have been reduced to 47 layers in OMUFPITMET by combining layers above the troposphere. The OMUFPITMET files are in netCDF4 format which is compatible with most HDF5 readers and tools. Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official. proprietary
OMUFPMET_004 GEOS-5 FP-IT 3D Time-Averaged Model-Layer Assimilated Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km V4 (OMUFPMET) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2556146042-GES_DISC.umm_json The GEOS-5 FP-IT 3D Time-Averaged Model-Layer Assimilated Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km (OMUFPMET) product provides selected meteorlogical fields from the GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI UV-2 swath. The fields in this product include layer pressure thickness, surface pressure, vertical temperature profiles, surface potential, and mid-layer pressure along with geolocation info. The OMI team also provides a corresponding product for the OMI VIS swath, OMVFPMET. The OMI ancillary products were developed to provide supplementary information for use with the OMI collection 4 L1B data sets. The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI UV-2 spatial resolution is 13km x 24km at nadir. The OMUFPMET files are in netCDF4 format which is compatible with most netCDF and HDF5 readers and tools. Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official. proprietary
@@ -13208,8 +13210,8 @@ PASSCAL_ABBA Adirondack Broad Band Array (ABBA) ALL STAC Catalog 1995-01-01 1996
PASSCAL_ABBA Adirondack Broad Band Array (ABBA) SCIOPS STAC Catalog 1995-01-01 1996-12-31 -74.5, 43.5, -73.8, 44.4 https://cmr.earthdata.nasa.gov/search/concepts/C1214608962-SCIOPS.umm_json Objective: Determination of anistropy and depth/characteristics of discontinuties in the mantle and the Moho beneath the Adirondacks. Preliminary results: Azimuthal Anisotropy is oriented ENE-WSW with a delay time of about 1 s. Discontinuity studies are still in progress. proprietary
PASSCAL_ALAR Aleutian Arc Seismic Experiment SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214610603-SCIOPS.umm_json "27 instruments were deployed at 18 different locations in the Aleutian Islands to record the airguns from the Ewing as it shot offshore. The full data report is available in PDF at the following URL: ""http://www.iris.edu/data/reports/1996/96-016.pdf""" proprietary
PASSCAL_ALAR Aleutian Arc Seismic Experiment ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214610603-SCIOPS.umm_json "27 instruments were deployed at 18 different locations in the Aleutian Islands to record the airguns from the Ewing as it shot offshore. The full data report is available in PDF at the following URL: ""http://www.iris.edu/data/reports/1996/96-016.pdf""" proprietary
-PASSCAL_KRAFLA 1994 Krafla Undershooting Experiment ALL STAC Catalog 1970-01-01 -24.55, 62.81, -12.79, 67.01 https://cmr.earthdata.nasa.gov/search/concepts/C1214610676-SCIOPS.umm_json Thirty-eight instruments were used to shoot two perpendicular refraction profiles across the Krafla central volcano. The North/South profile is 20 km long while the East/West profile is 55 km long. Average station spacing was 500 m in the caldera and 1-4 km elswhere. A total of three shots were used in the NS profile and 6 shots were used in the EW profile. proprietary
PASSCAL_KRAFLA 1994 Krafla Undershooting Experiment SCIOPS STAC Catalog 1970-01-01 -24.55, 62.81, -12.79, 67.01 https://cmr.earthdata.nasa.gov/search/concepts/C1214610676-SCIOPS.umm_json Thirty-eight instruments were used to shoot two perpendicular refraction profiles across the Krafla central volcano. The North/South profile is 20 km long while the East/West profile is 55 km long. Average station spacing was 500 m in the caldera and 1-4 km elswhere. A total of three shots were used in the NS profile and 6 shots were used in the EW profile. proprietary
+PASSCAL_KRAFLA 1994 Krafla Undershooting Experiment ALL STAC Catalog 1970-01-01 -24.55, 62.81, -12.79, 67.01 https://cmr.earthdata.nasa.gov/search/concepts/C1214610676-SCIOPS.umm_json Thirty-eight instruments were used to shoot two perpendicular refraction profiles across the Krafla central volcano. The North/South profile is 20 km long while the East/West profile is 55 km long. Average station spacing was 500 m in the caldera and 1-4 km elswhere. A total of three shots were used in the NS profile and 6 shots were used in the EW profile. proprietary
PASSCAL_WABASH A comprehensive geophysical investigation to assess seismic hazards in the coassesment of seismicity in the Wabash Valley SCIOPS STAC Catalog 1995-11-01 1996-06-30 -88.1706, 38.2057, -88.1706, 38.2057 https://cmr.earthdata.nasa.gov/search/concepts/C1214608969-SCIOPS.umm_json Recent paleoseismic evidence had shown there were 5-8 magnitude greater than 6 earthquakes in this region in the past 20,000 years. The study area has always been at the fringe of previously operated seismic networks. A focused, short-term deployment was designed to lower the detection threshold to determine seismicity rates for the region for comparison with estimates derived from paleoseismicity. The researchers hoped to relate observed seismicity to faults mapped in the subsurface through new seismic reflection data made available to the Illinois Basin Consortium. proprietary
PASSCAL_WABASH A comprehensive geophysical investigation to assess seismic hazards in the coassesment of seismicity in the Wabash Valley ALL STAC Catalog 1995-11-01 1996-06-30 -88.1706, 38.2057, -88.1706, 38.2057 https://cmr.earthdata.nasa.gov/search/concepts/C1214608969-SCIOPS.umm_json Recent paleoseismic evidence had shown there were 5-8 magnitude greater than 6 earthquakes in this region in the past 20,000 years. The study area has always been at the fringe of previously operated seismic networks. A focused, short-term deployment was designed to lower the detection threshold to determine seismicity rates for the region for comparison with estimates derived from paleoseismicity. The researchers hoped to relate observed seismicity to faults mapped in the subsurface through new seismic reflection data made available to the Illinois Basin Consortium. proprietary
PATEX_0 PATagonia EXperiment (PATEX) Project OB_DAAC STAC Catalog 2004-11-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360589-OB_DAAC.umm_json PATagonia EXperiment (PATEX) Project is a Brazilian research project, which has the overall objective of characterizing the environmental constraints, phytoplankton assemblages, primary production rates, bio-optical characteristics, and air-sea CO2 fluxes waters along the Argentinean shelf-break during austral spring and summer. A set of seven PATEX cruises were conducted from 2004 to 2009. Garcia et al., 2011 (doi:10.1029/2010JC006595) proprietary
@@ -13245,12 +13247,12 @@ POLARIS_TraceGas_AircraftInSitu_ER2_Data_1 POLARIS ER-2 Aircraft In-situ Trace G
POLARIS_jValue_AircraftInSitu_ER2_Data_1 POLARIS Photolysis Frequencies (J-Values) LARC_ASDC STAC Catalog 1997-01-06 1997-09-26 180, -3.37, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2712794398-LARC_ASDC.umm_json POLARIS_jValue_AircraftInSitu_ER2_Data is the photolysis frequencies (j-values) collected during the Photochemistry of Ozone Loss in the Arctic Region in Summer (POLARIS) campaign. Data from the the Composition and Photo-Dissociative Flux Measurement (CPFM) is featured in this collection. Data collection for this product is complete. The POLARIS mission was a joint effort of NASA and NOAA that occurred in 1997 and was designed to expand on the photochemical and transport processes that cause the summer polar decreases in the stratospheric ozone. The POLARIS campaign had the overarching goal of better understanding the change of stratospheric ozone levels from very high concentrations in the spring to very low concentrations in the autumn. The NASA ER-2 high-altitude aircraft was the primary platform deployed along with balloons, satellites, and ground-sites. The POLARIS campaign was based in Fairbanks, Alaska with some flights being conducted from California and Hawaii. Flights were conducted between the summer solstice and fall equinox at mid- to high latitudes. The data collected included meteorological variables; long-lived tracers in reference to summertime transport questions; select species with reactive nitrogen (NOy), halogen (Cly), and hydrogen (HOx) reservoirs; and aerosols. More specifically, the ER-2 utilized various techniques/instruments including Laser Absorption, Gas Chromatography, Non-dispersive IR, UV Photometry, Catalysis, and IR Absorption. These techniques/instruments were used to collect data including N2O, CH4, CH3CCl3, CO2, O3, H2O, and NOy. Ground stations were responsible for collecting SO2 and O3, while balloons recorded pressure, temperature, wind speed, and wind directions. Satellites partnered with these platforms collected meteorological data and Lidar imagery. The observations were used to constrain stratospheric computer models to evaluate ozone changes due to chemistry and transport. proprietary
POLYNYA_ship_1 Mertz Polynya Experiment, Aurora Australis science cruises au9807 and au9901, and Tangaroa science cruise ta0051 - ship-based CTD, ADCP, LADCP and mooring data AU_AADC STAC Catalog 1998-04-03 2000-03-20 142, -67.5, 148, -64.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214313670-AU_AADC.umm_json Oceanographic measurements were conducted in the vicinity of the Mertz Polynya, encompassing 2 consecutive seasonal cycles from 1998 to 2000. In the southern winter of 1999, a total of 92 CTD/LADCP vertical profile stations were taken, most to within 20 m of the bottom, with 3 laps completed around the boundary of a box adjacent to the Mertz Glacier. Over 700 Niskin bottle water samples were collected for the measurement of salinity, dissolved oxygen, nutrients, oxygen 18, dimethyl sulphide, and biological parameters, using a 12 bottle rosette sampler mounted on a 24 bottle frame. Additional CTD vertical profiles were taken in April 1998, July 1998 and February 2000. Near surface current data were collected on all cruises using ship mounted ADCP. Two mooring arrays comprising thermosalinographs, current meters and upward looking sonars were deployed in the region of the Polynya. The first array of 7 moorings was deployed in April 1998. The second array of 4 moorings was deployed in the winter of 1999. All 11 Polynya moorings were recovered in February 2000. A summary of all data and data quality is presented in the data report. This work was completed as part of ASAC projects 2223 and 189. proprietary
POMME_0 Programme Ocean Multidisciplinaire Meso-Echelle (POMME) OB_DAAC STAC Catalog 2001-02-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360620-OB_DAAC.umm_json Measurements made during the Programme Ocean Multidisciplinaire Meso-Echelle (POMME) or Multidisciplinary middle-level ocean program in 2001. proprietary
-POSTER-03CYCLONE_Not Applicable 2003 Tropical Cyclones of the World ALL STAC Catalog 2003-01-08 2003-12-21 -180, -65, 180, 65 https://cmr.earthdata.nasa.gov/search/concepts/C2107093337-NOAA_NCEI.umm_json "Year 2003 Tropical Cyclones of the World poster. During calendar year 2003, fifty-one tropical cyclones with sustained surface winds of at least 64 knots were observed around the world. NOAA's Polar-Orbiting Operational Environmental Satellites (POES) captured these powerful storms near peak intensity, which are all presented in this colorful poster. Poster size is 36""x 27""." proprietary
POSTER-03CYCLONE_Not Applicable 2003 Tropical Cyclones of the World NOAA_NCEI STAC Catalog 2003-01-08 2003-12-21 -180, -65, 180, 65 https://cmr.earthdata.nasa.gov/search/concepts/C2107093337-NOAA_NCEI.umm_json "Year 2003 Tropical Cyclones of the World poster. During calendar year 2003, fifty-one tropical cyclones with sustained surface winds of at least 64 knots were observed around the world. NOAA's Polar-Orbiting Operational Environmental Satellites (POES) captured these powerful storms near peak intensity, which are all presented in this colorful poster. Poster size is 36""x 27""." proprietary
-POSTER-2004 Hurricanes_Not Applicable 2004 Landfalling Hurricanes Poster ALL STAC Catalog 2004-08-13 2004-09-25 -91, 8, -33, 46.5 https://cmr.earthdata.nasa.gov/search/concepts/C2107093388-NOAA_NCEI.umm_json "The 2004 U.S. Landfalling Hurricanes poster is a special edition poster which contains two sets of images of Hurricanes Charley, Frances, Ivan, and Jeanne, created from NOAA's operational satellites. In addtion to the images, the poster has a map depicting the general track of each storm; information on each storm's landfall location, date of landfall, and category level at time of landfall; as well as, a Saffir-Simpson Hurricane Scale chart. Poster size is 34""x27""." proprietary
+POSTER-03CYCLONE_Not Applicable 2003 Tropical Cyclones of the World ALL STAC Catalog 2003-01-08 2003-12-21 -180, -65, 180, 65 https://cmr.earthdata.nasa.gov/search/concepts/C2107093337-NOAA_NCEI.umm_json "Year 2003 Tropical Cyclones of the World poster. During calendar year 2003, fifty-one tropical cyclones with sustained surface winds of at least 64 knots were observed around the world. NOAA's Polar-Orbiting Operational Environmental Satellites (POES) captured these powerful storms near peak intensity, which are all presented in this colorful poster. Poster size is 36""x 27""." proprietary
POSTER-2004 Hurricanes_Not Applicable 2004 Landfalling Hurricanes Poster NOAA_NCEI STAC Catalog 2004-08-13 2004-09-25 -91, 8, -33, 46.5 https://cmr.earthdata.nasa.gov/search/concepts/C2107093388-NOAA_NCEI.umm_json "The 2004 U.S. Landfalling Hurricanes poster is a special edition poster which contains two sets of images of Hurricanes Charley, Frances, Ivan, and Jeanne, created from NOAA's operational satellites. In addtion to the images, the poster has a map depicting the general track of each storm; information on each storm's landfall location, date of landfall, and category level at time of landfall; as well as, a Saffir-Simpson Hurricane Scale chart. Poster size is 34""x27""." proprietary
-POSTER-2005 Atl Hurricanes_Not Applicable 2005 Atlantic Hurricanes Poster NOAA_NCEI STAC Catalog 2005-07-03 2005-12-08 -97, 20, -65, 40.5 https://cmr.earthdata.nasa.gov/search/concepts/C2107093322-NOAA_NCEI.umm_json "The 2005 Atlantic Hurricanes poster features high quality satellite images of 15 hurricanes which formed in the Atlantic Basin (includes Gulf of Mexico and Caribbean Sea) in the year 2005 which was the busiest season on record. The images show each storm near maximum intensity. Also, under each image there is additional information including, lowest pressure, maximum sustained winds, date range of the storm, highest category level reached on the Saffir-Simpson Hurricane Scale, and approximate position of each storm when the image was taken. Poster size is 35""x30""." proprietary
+POSTER-2004 Hurricanes_Not Applicable 2004 Landfalling Hurricanes Poster ALL STAC Catalog 2004-08-13 2004-09-25 -91, 8, -33, 46.5 https://cmr.earthdata.nasa.gov/search/concepts/C2107093388-NOAA_NCEI.umm_json "The 2004 U.S. Landfalling Hurricanes poster is a special edition poster which contains two sets of images of Hurricanes Charley, Frances, Ivan, and Jeanne, created from NOAA's operational satellites. In addtion to the images, the poster has a map depicting the general track of each storm; information on each storm's landfall location, date of landfall, and category level at time of landfall; as well as, a Saffir-Simpson Hurricane Scale chart. Poster size is 34""x27""." proprietary
POSTER-2005 Atl Hurricanes_Not Applicable 2005 Atlantic Hurricanes Poster ALL STAC Catalog 2005-07-03 2005-12-08 -97, 20, -65, 40.5 https://cmr.earthdata.nasa.gov/search/concepts/C2107093322-NOAA_NCEI.umm_json "The 2005 Atlantic Hurricanes poster features high quality satellite images of 15 hurricanes which formed in the Atlantic Basin (includes Gulf of Mexico and Caribbean Sea) in the year 2005 which was the busiest season on record. The images show each storm near maximum intensity. Also, under each image there is additional information including, lowest pressure, maximum sustained winds, date range of the storm, highest category level reached on the Saffir-Simpson Hurricane Scale, and approximate position of each storm when the image was taken. Poster size is 35""x30""." proprietary
+POSTER-2005 Atl Hurricanes_Not Applicable 2005 Atlantic Hurricanes Poster NOAA_NCEI STAC Catalog 2005-07-03 2005-12-08 -97, 20, -65, 40.5 https://cmr.earthdata.nasa.gov/search/concepts/C2107093322-NOAA_NCEI.umm_json "The 2005 Atlantic Hurricanes poster features high quality satellite images of 15 hurricanes which formed in the Atlantic Basin (includes Gulf of Mexico and Caribbean Sea) in the year 2005 which was the busiest season on record. The images show each storm near maximum intensity. Also, under each image there is additional information including, lowest pressure, maximum sustained winds, date range of the storm, highest category level reached on the Saffir-Simpson Hurricane Scale, and approximate position of each storm when the image was taken. Poster size is 35""x30""." proprietary
POSTER-2005 Sig Hurricanes_Not Applicable 2005 Significant U.S. Hurricane Strikes Poster NOAA_NCEI STAC Catalog 2005-07-10 2005-10-24 -102, 12, -69, 40.5 https://cmr.earthdata.nasa.gov/search/concepts/C2107093260-NOAA_NCEI.umm_json "The 2005 Significant U.S. Hurricane Strikes poster is one of two special edition posters for the Atlantic Hurricanes. This beautiful poster contains two sets of images of five hurricanes that impacted the United States in 2005, namely Katrina, Ophelia, Rita and Wilma. The images were created from NOAA's geostationary and polar-orbiting environmental satellites. In addition to the images, the poster has a map depicting the general track of each storm, a color temperature scale to read the hurricane cloud top temperatures, high level information on each storm, the category at time of landfall; as well as, a Saffir-Simpson Hurricane Scale. Poster size is 36""x32""." proprietary
POSTER-2005 Sig Hurricanes_Not Applicable 2005 Significant U.S. Hurricane Strikes Poster ALL STAC Catalog 2005-07-10 2005-10-24 -102, 12, -69, 40.5 https://cmr.earthdata.nasa.gov/search/concepts/C2107093260-NOAA_NCEI.umm_json "The 2005 Significant U.S. Hurricane Strikes poster is one of two special edition posters for the Atlantic Hurricanes. This beautiful poster contains two sets of images of five hurricanes that impacted the United States in 2005, namely Katrina, Ophelia, Rita and Wilma. The images were created from NOAA's geostationary and polar-orbiting environmental satellites. In addition to the images, the poster has a map depicting the general track of each storm, a color temperature scale to read the hurricane cloud top temperatures, high level information on each storm, the category at time of landfall; as well as, a Saffir-Simpson Hurricane Scale. Poster size is 36""x32""." proprietary
PRECIP_AMSR2_GCOMW1_1 NASA MEASURES Precipitation Ensemble based on AMSR2 GCOMW1 NASA PPS L1C V05 TBs 1-orbit L2 Swath 10x10km V1 (PRECIP_AMSR2_GCOMW1) at GES DISC GES_DISC STAC Catalog 2012-07-02 2021-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2368305620-GES_DISC.umm_json The data presented in this level 2 orbital product are rain rate estimates expressed as mm/hour determined from brightness temperatures (Tbs) obtained from the Advanced Microwave Scanning Radiometer-2 (AMSR-2) flown on the Global Climate Observing Mission-Water 1 (GCOM-W1). Most of the products generated in this data set are based upon the algorithms developed for the 3rd Algorithm Intercomparison Project (AIP-3) of the Global Precipitation Climatology Project (GPCP). Details of these 15 algorithms and development of a quality score which is a measure of confidence in the estimate, along with processing and algorithmic flags, can be found in the Algorithm Theoretical Basis Document (ATBD). The data in this product cover the period from 2012 to 2020 with one file per orbit. proprietary
@@ -13299,8 +13301,8 @@ PVST_SMARTS_0 Validating PACE aerosol columnar properties and OCI water-leaving
PVST_VDIUP_0 Validation of Ocean Surface Downwelling Irradiance and Its Underwater Propagation for the PACE Mission OB_DAAC STAC Catalog 2022-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3252791852-OB_DAAC.umm_json This project contributes to the validation of global surface radiation products and diffuse attenuation coefficients (Kd) generated by the PACE mission, essential for quantifying net primary production. The radiation products include instantaneous, daily mean, planar, and scalar fluxes products, in particular daily mean photosynthetically available radiation (PAR). In-situ observations are gathered through a network of automatic stations measuring hyperspectral downward planar irradiance (Ed(0+)) at selected AERONET-OC sites, and BGC-Argo profilers equipped with hyperspectral Ed sensors. BGC-Argo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu, https://www.ocean-ops.org). The Argo Program is part of the Global Ocean Observing System https://doi.org/10.17882/42182. Link to BGC-Argo GDAC for raw float data: https://data-argo.ifremer.fr/aux/coriolis/. proprietary
PanamaCity_0 Panama City, Florida optical measurements in 1993 OB_DAAC STAC Catalog 1993-10-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360586-OB_DAAC.umm_json Measurements taken in the Gulf of Mexico near Panama City, Florida in 1993. proprietary
Panhandle_OWQ_0 Optical Water quality measurements made in the Florida Panhandle estuaries OB_DAAC STAC Catalog 2015-12-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360587-OB_DAAC.umm_json Measurements made in the Florida Panhandle estuaries in partnership with USF and FWC-FWRI. proprietary
-Passive_Microwave_Snowoff_Data_1711_1.1 ABoVE: Passive Microwave-derived Annual Snowoff Date Maps, 1988-2018 ORNL_CLOUD STAC Catalog 1988-01-01 2018-12-31 -180, 37.98, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2221862177-ORNL_CLOUD.umm_json This dataset provides annual maps of the snowoff (SO) date from 1988-2018 across Alaska and parts of Far East Russia and northwest Canada at a resolution of 6.25 km. SO date is defined as the last day of persistent snow and was derived from the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR) product. The spatial domain was intended to match MODIS Alaska Snow Metrics and extend its temporal fidelity beyond the MODIS era. SO date estimates were compared to snow depth measurements collected at SNOTEL stations across Alaska and to three SO datasets derived from MODIS, Landsat, and the Interactive Multisensor Snow and Ice Mapping System (IMS). The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies. proprietary
Passive_Microwave_Snowoff_Data_1711_1.1 ABoVE: Passive Microwave-derived Annual Snowoff Date Maps, 1988-2018 ALL STAC Catalog 1988-01-01 2018-12-31 -180, 37.98, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2221862177-ORNL_CLOUD.umm_json This dataset provides annual maps of the snowoff (SO) date from 1988-2018 across Alaska and parts of Far East Russia and northwest Canada at a resolution of 6.25 km. SO date is defined as the last day of persistent snow and was derived from the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR) product. The spatial domain was intended to match MODIS Alaska Snow Metrics and extend its temporal fidelity beyond the MODIS era. SO date estimates were compared to snow depth measurements collected at SNOTEL stations across Alaska and to three SO datasets derived from MODIS, Landsat, and the Interactive Multisensor Snow and Ice Mapping System (IMS). The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies. proprietary
+Passive_Microwave_Snowoff_Data_1711_1.1 ABoVE: Passive Microwave-derived Annual Snowoff Date Maps, 1988-2018 ORNL_CLOUD STAC Catalog 1988-01-01 2018-12-31 -180, 37.98, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2221862177-ORNL_CLOUD.umm_json This dataset provides annual maps of the snowoff (SO) date from 1988-2018 across Alaska and parts of Far East Russia and northwest Canada at a resolution of 6.25 km. SO date is defined as the last day of persistent snow and was derived from the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR) product. The spatial domain was intended to match MODIS Alaska Snow Metrics and extend its temporal fidelity beyond the MODIS era. SO date estimates were compared to snow depth measurements collected at SNOTEL stations across Alaska and to three SO datasets derived from MODIS, Landsat, and the Interactive Multisensor Snow and Ice Mapping System (IMS). The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies. proprietary
Patagonian_Coastal_0 Measurements off the Argentinian coast near Drakes Passage OB_DAAC STAC Catalog 2008-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360588-OB_DAAC.umm_json Measurements made in the South Atlantic Ocean in 2008 and 2009 off the Argentinian coast near Drakes Passage. proprietary
Peatland_carbon_balance_1382_1 Global Peatland Carbon Balance and Land Use Change CO2 Emissions Through the Holocene ORNL_CLOUD STAC Catalog 1000-01-01 2001-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2216864221-ORNL_CLOUD.umm_json This data set provides a time series of global peatland carbon balance and carbon dioxide emissions from land use change throughout the Holocene (the past 11,000 yrs). Global peatland carbon balance was quantified using a) a continuous net carbon balance history throughout the Holocene derived from a data set of 64 dated peat cores, and b) global model simulations with the LPX-Bern model hindcasting the dynamics of past peatland distribution and carbon balance. CO2 emissions from land-use change are based on published scenarios for anthropogenic land use change (HYDE 3.1, HYDE 3.2, KK10) covering the last 10,000 years. This combination of model estimates with CO2 budget constraints narrows the range of past anthropogenic land use change emissions and their contribution to past carbon cycle changes. proprietary
Pelican_PCO2_0 Partial pressure of carbon dioxide (PCO2) onboard the Pelican research vessel OB_DAAC STAC Catalog 2006-04-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360591-OB_DAAC.umm_json Measurements from the Pelican research vessel made off the southern coast of Louisiana in the Gulf of Mexico from 2006. proprietary
@@ -13308,8 +13310,8 @@ PenBaySurvey_0 Penobscot Bay Optical Survey OB_DAAC STAC Catalog 2007-11-15 -18
PermafrostThaw_CarbonEmissions_1872_1 Projections of Permafrost Thaw and Carbon Release for RCP 4.5 and 8.5, 1901-2299 ORNL_CLOUD STAC Catalog 1901-01-01 2300-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2254686682-ORNL_CLOUD.umm_json This dataset consists of an ensemble of model projections from 1901 to 2299 for the northern hemisphere permafrost domain. The model projections include monthly average values for a common set of diagnostic outputs at a spatial resolution of 0.5 x 0.5 degrees latitude and longitude. The model simulations resulted from a synthesis effort organized by the Permafrost Carbon Network to evaluate the impacts of climate change on the carbon cycle in permafrost regions in the high northern latitudes. The model teams used different historical input weather data, but most used driver data developed by the Climate Research Unit - National Centers for Environmental Prediction (CRUNCEP) as modified for the Multiscale Terrestrial Model Intercomparison Project (MsTMIP). The teams scaled the driver data for the projections using output from global climate models from the fifth Coupled Model Intercomparison Project (CMIP5). The synthesis evaluated the terrestrial carbon cycle in the modern era and projected future emissions of carbon under two climate warming scenarios: Representative Concentration Pathways 4.5 and 8.5 (RCP45 and RCP85) from CMIP5. RCP45 represents emissions resulting in a global climate close to the target climate in the Paris Accord. RCP85 represents unconstrained greenhouse gas emissions. proprietary
Permafrost_ActiveLayer_NSlope_1759_1 ABoVE: Active Layer Soil Characterization of Permafrost Sites, Northern Alaska, 2018 ORNL_CLOUD STAC Catalog 2018-08-22 2018-08-26 -149.31, 68.61, -148.56, 69.81 https://cmr.earthdata.nasa.gov/search/concepts/C2143402217-ORNL_CLOUD.umm_json This dataset provides in situ soil measurements including soil dielectric properties, temperature, and moisture profiles, active layer thickness (ALT), and measurements of soil organic matter, bulk density, porosity, texture, and coarse root biomass. Samples were collected from the surface to permafrost table in soil pits at selected sites along the Dalton Highway in Northern Alaska. From North to South, the study sites include Franklin Bluffs, Sagwon, Happy Valley, Ice Cut, and Imnavait Creek. Measurements were made from August 22 to August 26, 2018. The purpose of the field campaign was to characterize the dielectric properties of permafrost active layer soils in support of the NASA Arctic and Boreal Vulnerability Experiment (ABoVE) Airborne Campaign. proprietary
Permafrost_ActiveLayer_NSlope_1759_1 ABoVE: Active Layer Soil Characterization of Permafrost Sites, Northern Alaska, 2018 ALL STAC Catalog 2018-08-22 2018-08-26 -149.31, 68.61, -148.56, 69.81 https://cmr.earthdata.nasa.gov/search/concepts/C2143402217-ORNL_CLOUD.umm_json This dataset provides in situ soil measurements including soil dielectric properties, temperature, and moisture profiles, active layer thickness (ALT), and measurements of soil organic matter, bulk density, porosity, texture, and coarse root biomass. Samples were collected from the surface to permafrost table in soil pits at selected sites along the Dalton Highway in Northern Alaska. From North to South, the study sites include Franklin Bluffs, Sagwon, Happy Valley, Ice Cut, and Imnavait Creek. Measurements were made from August 22 to August 26, 2018. The purpose of the field campaign was to characterize the dielectric properties of permafrost active layer soils in support of the NASA Arctic and Boreal Vulnerability Experiment (ABoVE) Airborne Campaign. proprietary
-Permafrost_Thaw_Depth_YK_1598_1 ABoVE: Permafrost Measurements and Distribution Across the Y-K Delta, Alaska, 2016 ALL STAC Catalog 2009-06-27 2016-07-17 -165.69, 61.17, -165.03, 61.29 https://cmr.earthdata.nasa.gov/search/concepts/C2162142273-ORNL_CLOUD.umm_json This dataset provides field observations of thaw depth and dominant vegetation types, a LiDAR-derived elevation map, and permafrost distribution and probability maps for an area on the coastal plain of the Yukon-Kuskokwim Delta (YKD), in western Alaska, USA. Field data were collected during July 8-17, 2016 to parameterize and to validate the derived permafrost maps. The YKD is in the sporadic to isolated permafrost zone where permafrost forms extensive elevated plateaus on abandoned floodplains. The region is extremely flat and vulnerable to eustatic sea-level rise and inland storm surges. These high-resolution permafrost maps support landscape change analyses and assessments of the impacts of climate change on permafrost in this region of high biological productivity, critical wildlife habitats, and subsistence-based human economy. proprietary
Permafrost_Thaw_Depth_YK_1598_1 ABoVE: Permafrost Measurements and Distribution Across the Y-K Delta, Alaska, 2016 ORNL_CLOUD STAC Catalog 2009-06-27 2016-07-17 -165.69, 61.17, -165.03, 61.29 https://cmr.earthdata.nasa.gov/search/concepts/C2162142273-ORNL_CLOUD.umm_json This dataset provides field observations of thaw depth and dominant vegetation types, a LiDAR-derived elevation map, and permafrost distribution and probability maps for an area on the coastal plain of the Yukon-Kuskokwim Delta (YKD), in western Alaska, USA. Field data were collected during July 8-17, 2016 to parameterize and to validate the derived permafrost maps. The YKD is in the sporadic to isolated permafrost zone where permafrost forms extensive elevated plateaus on abandoned floodplains. The region is extremely flat and vulnerable to eustatic sea-level rise and inland storm surges. These high-resolution permafrost maps support landscape change analyses and assessments of the impacts of climate change on permafrost in this region of high biological productivity, critical wildlife habitats, and subsistence-based human economy. proprietary
+Permafrost_Thaw_Depth_YK_1598_1 ABoVE: Permafrost Measurements and Distribution Across the Y-K Delta, Alaska, 2016 ALL STAC Catalog 2009-06-27 2016-07-17 -165.69, 61.17, -165.03, 61.29 https://cmr.earthdata.nasa.gov/search/concepts/C2162142273-ORNL_CLOUD.umm_json This dataset provides field observations of thaw depth and dominant vegetation types, a LiDAR-derived elevation map, and permafrost distribution and probability maps for an area on the coastal plain of the Yukon-Kuskokwim Delta (YKD), in western Alaska, USA. Field data were collected during July 8-17, 2016 to parameterize and to validate the derived permafrost maps. The YKD is in the sporadic to isolated permafrost zone where permafrost forms extensive elevated plateaus on abandoned floodplains. The region is extremely flat and vulnerable to eustatic sea-level rise and inland storm surges. These high-resolution permafrost maps support landscape change analyses and assessments of the impacts of climate change on permafrost in this region of high biological productivity, critical wildlife habitats, and subsistence-based human economy. proprietary
PhenoCam_V2_1674_2 PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018 ORNL_CLOUD STAC Catalog 1999-11-16 2018-12-31 -158.15, -22.97, 119.22, 71.28 https://cmr.earthdata.nasa.gov/search/concepts/C2764826583-ORNL_CLOUD.umm_json This data set provides a time series of vegetation phenological observations for 393 sites across diverse ecosystems of the world (mostly North America) from 2000-2018. The phenology data were derived from conventional visible-wavelength automated digital camera imagery collected through the PhenoCam Network at each site. From each acquired image, RGB (red, green, blue) color channel information was extracted and means and other statistics calculated for a region-of-interest (ROI) that delineates an area of specific vegetation type. From the high-frequency (typically, 30 minute) imagery collected over several years, time series characterizing vegetation color, including canopy greenness, plus greenness rising and greenness falling transition dates, were summarized over 1- and 3-day intervals. proprietary
Phenocam_Images_V2_1689_2 PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018 ORNL_CLOUD STAC Catalog 1999-11-16 2018-12-31 -158.15, -22.97, 119.22, 71.28 https://cmr.earthdata.nasa.gov/search/concepts/C2764728896-ORNL_CLOUD.umm_json This dataset provides a time series of visible-wavelength digital camera imagery collected through the PhenoCam Network at each of 393 sites predominantly in North America from 2000-2018. The raw imagery was used to derive information on phenology, including time series of vegetation color, canopy greenness, and phenology transition dates for the PhenoCam Dataset v2.0. proprietary
Phenology_AmeriFlux_Neon_Sites_2033_1 Land Surface Phenology, Eddy Covariance Tower Sites, North America, 2017-2021 ORNL_CLOUD STAC Catalog 2017-01-01 2021-12-31 -176.13, 14.34, -57.3, 70.98 https://cmr.earthdata.nasa.gov/search/concepts/C2764693210-ORNL_CLOUD.umm_json This land surface phenology (LSP) dataset provides spatially explicit data related to the timing of phenological changes such as the start, peak, and end of vegetation activity, vegetation index metrics and associated quality assurance flags. The data are for the growing seasons of 2017-2021 for 10-km x 10-km windows centered over 104 eddy covariance towers at AmeriFlux and National Ecological Observatory Network (NEON) sites. The dataset is derived at 3-m spatial resolution from PlanetScope imagery across a range of plant functional types and climates in North America. These LSP data can be used to assess satellite-based LSP products, to evaluate predictions from land surface models, and to analyze processes controlling the seasonality of ecosystem-scale carbon, water, and energy fluxes. The data are provided in NetCDF format along with geospatial area-of-interest information and visualizations of the analysis window for each site in GeoJSON and HTML formats. proprietary
@@ -13325,20 +13327,20 @@ Pleiades.HiRI.archive.and.new_9.0 Pleiades full archive and tasking ESA STAC Cat
Pleiades.Neo.full.archive.and.tasking_9.0 Pléiades Neo full archive and tasking ESA STAC Catalog 2021-04-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547572735-ESA.umm_json "Very High Resolution optical Pléiades Neo data at 30 cm PAN resolution (1.2 m 6-bands Multispectral) are available as part of the Airbus provision with twice daily revisit capability over the entire globe. The swath width is 14 km (footprint at nadir). Band combinations: • Panchromatic one band Black & White image at 0.3 m resolution • Pansharpened colour image at 0.3 m resolution: Natural colour (3 bands RGB), false colour (3 bands NIRRG), 4 bands (RGB+NIR), 6 bands • Multispectral colour image in 4 bands (RGB+NIR) or 6 bands (also Deep blue and Red Edge) at 1.2 m resolution • Bundle 0.3 m panchromatic image and 1.2 m multispectral image (4 or 6 bands) simultaneously acquired Geometric processing levels: • Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. • Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. Acquisition modes: • Mono • Stereo • Tristereo • HD15: 15cm resolution for Panchromatic, 60cm resolution for Multispectral: Mono image resampled by using machine learning model which increase sharpness and fineness of details without introducing any fake data. To complement the traditional and fully customised ordering and download of selected SPOT, Pleiades or Pleiades Neo images in a variety of data formats, you can also subscribe to the OneAtlas Living Library package where the entire OneAtlas optical archive of ortho images is updated on a daily basis and made available for streaming or download. The Living Library consist of: • less-than-18-months-old Pansharpened and Bundle imagery • a curation of SPOT images with no cloud cover and less than 30° incidence angle • Pléiades images acquired worldwide with maximum 15% cloud cover and 30° Incidence Angle • Pléiades Neo premium imagery selection with 2% cloud cover and 30° incidence angle These are the available subscription packages (to be consumed withing one year from the activation) OneAtlas Living Library subscription package 1: up to 230 km2 Pleiades Neo or 430 km2 Pleiades or 1.500 km2 SPOT in download, up to 500 km2 Pleiades Neo or 2.000 km2 Pleiades or 7.500 km2 SPOT in streaming OneAtlas Living Library subscription package 2: up to 654 km2 Pleiades Neo or 1.214 km2 Pleiades or 4.250 km2 SPOT in download, up to 1417 km2 Pleiades Neo or 5.666 km2 Pleiades or 21.250 km2 SPOT in streaming OneAtlas Living Library subscription package 3: up to 1.161 km2 Pleiades Neo or 2.156 km2 Pleiades or 7.545 km2 SPOT in download, up to 2.515 km2 Pleiades Neo or 10.060 km2 Pleiades or 37.723 km2 SPOT in streaming All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPOT-Pleiades-data-terms-of-applicability.pdf available in the Resources section. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
Plot_Data_Noatak_Seward_AK_1919_1 Burned and Unburned Field Site Data, Noatak, Seward, and North Slope, AK, 2016-2018 ORNL_CLOUD STAC Catalog 2016-07-22 2018-08-27 -164.93, 65.02, -148.64, 69.66 https://cmr.earthdata.nasa.gov/search/concepts/C2240727642-ORNL_CLOUD.umm_json This dataset includes field measurements from unburned and burned 10 m x 10 m and 1 m x 1 m plots in the Noatak, Seward, and North Slope regions of the Alaskan tundra during July through August in the years 2016-2018. The data include vegetation coverage, soil moisture, soil temperature, soil thickness, thaw depth, and weather measurements. Measurements were recorded using ocular assessments and standard equipment. Plot photographs are included. proprietary
Plumes_and_Blooms_0 Plumes and Blooms OB_DAAC STAC Catalog 1996-08-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360616-OB_DAAC.umm_json The Plumes and Blooms program is a joint collaboration among UCSB faculty, student and staff researchers at the Institute of Computational Earth System Science (ICESS), NOAA researchers at the Coastal Services Center (Charleston, SC) and the NOAA sanctuary managers of the Channel Islands National Marine Sanctuary (CINMS). Since August, 1996, monthly research cruises have been conducted to collect measurements. These measurements include temperature and salinity, ocean color spectra, and water column profiles of red light transmission and chlorophyll fluorescence (indexes of suspended particulate load and phytoplankton abundance). The transect observations begin at the shelf waters north of Santa Rosa island and end at an area off Goleta Point. These repeat observations are combined with satellite imagery to build a time-series of the changing ocean color conditions in the Santa Barbara Channel. proprietary
-PolInSAR_Canopy_Height_1589_1 AfriSAR: Rainforest Canopy Height Derived from PolInSAR and Lidar Data, Gabon ORNL_CLOUD STAC Catalog 2016-02-27 2016-03-08 9.29, -0.35, 11.83, 0.24 https://cmr.earthdata.nasa.gov/search/concepts/C2734258687-ORNL_CLOUD.umm_json This dataset provides estimates of forest canopy height and canopy height uncertainty for study areas in the Pongara National Park and the Lope National Park, Gabon. Two canopy height products are included: 1) Canopy height was derived from multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) data using an inversion of the random volume over ground (RVoG) model and Kapok, an open source Python library. 2) Canopy height was derived from a fusion of PolInSAR and Land, Vegetation, and Ice Sensor (LVIS) Lidar data. This dataset also includes various intermediate parameters of the PolInSAR data (including radar backscatter, coherence, and viewing and terrain geometry) which provide additional insight into the input data used to invert the RVoG model and accuracy of the canopy height estimates. The AfriSAR campaign was flown from 2016-02-27 to 2016-03-08. AfriSAR data were collected by NASA, in collaboration with the European Space Agency (ESA) and the Gabonese Space Agency. proprietary
PolInSAR_Canopy_Height_1589_1 AfriSAR: Rainforest Canopy Height Derived from PolInSAR and Lidar Data, Gabon ALL STAC Catalog 2016-02-27 2016-03-08 9.29, -0.35, 11.83, 0.24 https://cmr.earthdata.nasa.gov/search/concepts/C2734258687-ORNL_CLOUD.umm_json This dataset provides estimates of forest canopy height and canopy height uncertainty for study areas in the Pongara National Park and the Lope National Park, Gabon. Two canopy height products are included: 1) Canopy height was derived from multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) data using an inversion of the random volume over ground (RVoG) model and Kapok, an open source Python library. 2) Canopy height was derived from a fusion of PolInSAR and Land, Vegetation, and Ice Sensor (LVIS) Lidar data. This dataset also includes various intermediate parameters of the PolInSAR data (including radar backscatter, coherence, and viewing and terrain geometry) which provide additional insight into the input data used to invert the RVoG model and accuracy of the canopy height estimates. The AfriSAR campaign was flown from 2016-02-27 to 2016-03-08. AfriSAR data were collected by NASA, in collaboration with the European Space Agency (ESA) and the Gabonese Space Agency. proprietary
+PolInSAR_Canopy_Height_1589_1 AfriSAR: Rainforest Canopy Height Derived from PolInSAR and Lidar Data, Gabon ORNL_CLOUD STAC Catalog 2016-02-27 2016-03-08 9.29, -0.35, 11.83, 0.24 https://cmr.earthdata.nasa.gov/search/concepts/C2734258687-ORNL_CLOUD.umm_json This dataset provides estimates of forest canopy height and canopy height uncertainty for study areas in the Pongara National Park and the Lope National Park, Gabon. Two canopy height products are included: 1) Canopy height was derived from multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) data using an inversion of the random volume over ground (RVoG) model and Kapok, an open source Python library. 2) Canopy height was derived from a fusion of PolInSAR and Land, Vegetation, and Ice Sensor (LVIS) Lidar data. This dataset also includes various intermediate parameters of the PolInSAR data (including radar backscatter, coherence, and viewing and terrain geometry) which provide additional insight into the input data used to invert the RVoG model and accuracy of the canopy height estimates. The AfriSAR campaign was flown from 2016-02-27 to 2016-03-08. AfriSAR data were collected by NASA, in collaboration with the European Space Agency (ESA) and the Gabonese Space Agency. proprietary
Polar-VPRM_Alaskan-NEE_1314_1 CARVE Modeled Gross Ecosystem CO2 Exchange and Respiration, Alaska, 2012-2014 ORNL_CLOUD STAC Catalog 2012-01-01 2014-12-31 -179, 55, -134, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2236236883-ORNL_CLOUD.umm_json This data set provides 3-hourly estimates of gross ecosystem CO2 exchange (GEE) and respiration (autotrophic and heterotrophic) for the state of Alaska from 2012 to 2014. The data were generated using the Polar Vegetation Photosynthesis and Respiration Model (PolarVPRM) and are provided at ~ 1 km2 [1/4-degree (longitude) by 1/6-degree (latitude)] pixel resolution. The PolarVPRM produces high-frequency estimates of GEE of CO2 for North American biomes from remotely-sensed data sets. For Alaska, the model used meteorological inputs from the North American regional re-analysis (NARR) and inputs of fractional snow cover and land surface water index (LSWI) from the Moderate Resolution Imaging Spectroradiometer (MODIS). Land surface greenness was factored into the model from three sources: 1) Enhanced Vegetation Index (EVI) from MODIS; 2) Solar Induced Florescence (SIF) from the Orbiting Carbon Observatory 2 (OCO-2); and 3) SIF from the Global Ozone Monitoring Experiment 2 (GOME-2). Three independent estimates of GEE are included in the data set, one for each source of greenness observations. proprietary
PolarWindsII_DAWN_DC8_1 Polar Winds II - Doppler Aerosol WiNd (DAWN) - DC8 LARC_ASDC STAC Catalog 2015-05-11 2015-05-25 -59, 49, 15.5, 70.5 https://cmr.earthdata.nasa.gov/search/concepts/C1440079415-LARC_ASDC.umm_json PolarWindsII_DAWN_DC8_1 is the Polar Winds II - Doppler Aerosol WiNd (DAWN) - DC8 data product. Data collection for this product is complete. Beginning in the fall of 2014, NASA sponsored two airborne field campaigns, collectively called Polar Winds, designed to fly the Doppler Aerosol WiNd (DAWN) lidar and other instruments to take airborne wind measurements of the Arctic atmosphere, specifically over and off the coasts of Greenland during Oct-Nov 2014 and May 2015. In particular, Polar Winds conducted a series of science experiments focusing on the measurement and analyses of lower tropospheric winds and aerosols associated with coastal katabatic flows, barrier winds, the Greenland Tip Jet, boundary layer circulations such as rolls and OLEs (Organized Large Eddies), and near surface winds over open water, transitional ice zones and the Greenland Ice Cap. Polar Winds I was based in Kangerlussuaq, Greenland and flew DAWN on board the NASA King Air UC-12B during Oct-Nov 2014 while Polar Winds II was based in Keflavik, Iceland and utilized the NASA DC-8 aircraft to fly DAWN and Dropsondes over the Arctic in May 2015. In total, twenty-four individual missions with over 80 hours of research flights were flown in the Arctic region near Greenland and Iceland during Polar Winds. The focus instrument for the wind measurements taken over the Arctic during Polar Winds was the DAWN airborne wind lidar. At a wavelength of 2.05 microns and at 250 mj per pulse, DAWN is the most powerful airborne Doppler Wind Lidar available today for airborne missions. DAWN has previously been flown on the NASA DC-8 during the 2010 Genesis and Rapid Intensification Processes (GRIP) campaign and on the NASA C-12 for wind field characterization off the coast of Virginia. In addition to DAWN, Polar Winds utilized the High Definition Sounding System (HDSS) dropsonde delivery system developed by Yankee Environmental Services to drop almost 100 dropsondes during Polar Wind II to obtain additional high-resolution vertical wind profiles during most missions. These dropsondes also provided needed calibration/validation for the much newer DAWN measurements. proprietary
PolarWindsI_DAWN_KingAirUC-12B_1 Polar Winds I - Doppler Aerosol WiNd (DAWN) - KingAirUC-12B LARC_ASDC STAC Catalog 2014-10-29 2014-11-13 -58, 59, -42, 69 https://cmr.earthdata.nasa.gov/search/concepts/C1457763994-LARC_ASDC.umm_json PolarWindsI_DAWN_KingAirUC-12B is the Polar Winds I - Doppler Aerosol WiNd (DAWN) - KingAirUC-12B data product. Data for this was collected using the DAWN instrument flown on the NASA Langley Beechcraft UC-12B Huron aircraft. Data collection for this product is complete. Polar Winds I was based in Kangerlussuaq, Greenland and flew DAWN on board the NASA King Air UC-12B during Oct-Nov 2014 while Polar Winds II was based in Keflavik, Iceland and utilized the NASA DC-8 aircraft to fly DAWN and Dropsondes over the Arctic in May 2015. In total, twenty-four individual missions with over 80 hours of research flights were flown in the Arctic region near Greenland and Iceland during Polar Winds. The focus instrument for the wind measurements taken over the Arctic during Polar Winds was the DAWN airborne wind lidar. At a wavelength of 2.05 microns and at 250 mj per pulse, DAWN is the most powerful airborne Doppler Wind Lidar available today for airborne missions. DAWN has previously been flown on the NASA DC-8 during the 2010 Genesis and Rapid Intensification Processes (GRIP) campaign and on the NASA UC-12 for wind field characterization off the coast of Virginia. In addition to DAWN, Polar Winds utilized the High Definition Sounding System (HDSS) dropsonde delivery system developed by Yankee Environmental Services to drop almost 100 dropsondes during Polar Wind II to obtain additional high-resolution vertical wind profiles during most missions. These dropsondes also provided needed calibration/validation for the much newer DAWN measurements. Beginning in the fall of 2014, NASA sponsored two airborne field campaigns, collectively called Polar Winds, designed to fly the Doppler Aerosol WiNd (DAWN) lidar and other instruments to take airborne wind measurements of the Arctic atmosphere, specifically over and off the coasts of Greenland during Oct-Nov 2014 and May 2015. In particular, Polar Winds conducted a series of science experiments focusing on the measurement and analyses of lower tropospheric winds and aerosols associated with coastal katabatic flows, barrier winds, the Greenland Tip Jet, boundary layer circulations such as rolls and OLEs (Organized Large Eddies), and near surface winds over open water, transitional ice zones and the Greenland Ice Cap. proprietary
-Polarimetric_CT_1601_1 AfriSAR: Canopy Structure Derived from PolInSAR and Coherence TomoSAR NISAR tools ALL STAC Catalog 2016-02-25 2016-03-08 9.17, -2.08, 11.86, 0.61 https://cmr.earthdata.nasa.gov/search/concepts/C2734261393-ORNL_CLOUD.umm_json This dataset contains forest vertical structure and associated uncertainty products derived by applying multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) and Polarimetric Coherence Tomographic SAR (PCT or PC-TomoSAR) techniques. The data were collected from multiple repeat-pass flights over Gabonese forests using the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instrument in February-March 2016. In addition, supplementary data products based on various intermediate parameters of the UAVSAR data are provided and include radar backscatter, coherence, and viewing and terrain geometry. These data were collected by NASA as part of the joint NASA/ESA AfriSAR campaign. proprietary
Polarimetric_CT_1601_1 AfriSAR: Canopy Structure Derived from PolInSAR and Coherence TomoSAR NISAR tools ORNL_CLOUD STAC Catalog 2016-02-25 2016-03-08 9.17, -2.08, 11.86, 0.61 https://cmr.earthdata.nasa.gov/search/concepts/C2734261393-ORNL_CLOUD.umm_json This dataset contains forest vertical structure and associated uncertainty products derived by applying multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) and Polarimetric Coherence Tomographic SAR (PCT or PC-TomoSAR) techniques. The data were collected from multiple repeat-pass flights over Gabonese forests using the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instrument in February-March 2016. In addition, supplementary data products based on various intermediate parameters of the UAVSAR data are provided and include radar backscatter, coherence, and viewing and terrain geometry. These data were collected by NASA as part of the joint NASA/ESA AfriSAR campaign. proprietary
+Polarimetric_CT_1601_1 AfriSAR: Canopy Structure Derived from PolInSAR and Coherence TomoSAR NISAR tools ALL STAC Catalog 2016-02-25 2016-03-08 9.17, -2.08, 11.86, 0.61 https://cmr.earthdata.nasa.gov/search/concepts/C2734261393-ORNL_CLOUD.umm_json This dataset contains forest vertical structure and associated uncertainty products derived by applying multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) and Polarimetric Coherence Tomographic SAR (PCT or PC-TomoSAR) techniques. The data were collected from multiple repeat-pass flights over Gabonese forests using the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instrument in February-March 2016. In addition, supplementary data products based on various intermediate parameters of the UAVSAR data are provided and include radar backscatter, coherence, and viewing and terrain geometry. These data were collected by NASA as part of the joint NASA/ESA AfriSAR campaign. proprietary
Polarimetric_height_profile_1577_1 AfriSAR: Polarimetric Height Profiles by TomoSAR, Lope and Rabi Forests, Gabon, 2016 ORNL_CLOUD STAC Catalog 2016-02-25 2016-02-28 9.67, -2.08, 11.86, 0.1 https://cmr.earthdata.nasa.gov/search/concepts/C2734257089-ORNL_CLOUD.umm_json This dataset provides height profiles derived from UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar; JPL) data acquired over Lope National Park and Rabi Forest in Gabon as part of the AfriSAR campaign in 2016. These data were produced using synthetic aperture radar tomography (TomoSAR), a method that reveals three-dimensional forest structures by extending the conventional two-dimensional imaging capabilities of radars using multiple images acquired from slightly different antenna positions. AfriSAR was an airborne campaign that collected radar, lidar, and field measurements of forests in Gabon, West Africa, as part of a collaborative mission between NASA, the European Space Agency, and the Gabonese Space Agency. These data will help prepare for and calibrate current and upcoming spaceborne missions that aim to gauge the role of forests in Earth's carbon cycle, such as the Global Ecosystem Dynamics Investigation (GEDI). proprietary
Polarimetric_height_profile_1577_1 AfriSAR: Polarimetric Height Profiles by TomoSAR, Lope and Rabi Forests, Gabon, 2016 ALL STAC Catalog 2016-02-25 2016-02-28 9.67, -2.08, 11.86, 0.1 https://cmr.earthdata.nasa.gov/search/concepts/C2734257089-ORNL_CLOUD.umm_json This dataset provides height profiles derived from UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar; JPL) data acquired over Lope National Park and Rabi Forest in Gabon as part of the AfriSAR campaign in 2016. These data were produced using synthetic aperture radar tomography (TomoSAR), a method that reveals three-dimensional forest structures by extending the conventional two-dimensional imaging capabilities of radars using multiple images acquired from slightly different antenna positions. AfriSAR was an airborne campaign that collected radar, lidar, and field measurements of forests in Gabon, West Africa, as part of a collaborative mission between NASA, the European Space Agency, and the Gabonese Space Agency. These data will help prepare for and calibrate current and upcoming spaceborne missions that aim to gauge the role of forests in Earth's carbon cycle, such as the Global Ecosystem Dynamics Investigation (GEDI). proprietary
Poplar_Veg_Plots_1376_1 Arctic Vegetation Plots, Poplars, Arctic and Interior AK and YT, Canada, 2003-2005 ORNL_CLOUD STAC Catalog 2003-06-18 2005-08-17 -162.74, 61.08, -135.22, 69.47 https://cmr.earthdata.nasa.gov/search/concepts/C2170969941-ORNL_CLOUD.umm_json This data set provides vegetation cover and environmental plot data collected from 32 balsam poplar (Populus balsamifera L., Salicaceae) vegetation plots located on the Arctic Slope of Alaska and in the interior boreal forests of Alaska and the Yukon from 2003 to 2005. The estimated percent land cover by species per plot are according to the older Braun-Blanquet cover-abundance scale. Plot data includes moisture, topographic position, slope, aspect, shape, and soil data. proprietary
PostFire_Tree_Regeneration_1955_1.1 ABoVE: Synthesis of Post-Fire Regeneration Across Boreal North America ORNL_CLOUD STAC Catalog 1989-01-01 2018-12-31 -152.2, 49.12, -71.01, 66.96 https://cmr.earthdata.nasa.gov/search/concepts/C2539840222-ORNL_CLOUD.umm_json This dataset is a synthesis of species-specific pre- and post-fire tree stem density estimates, field plot characterization data, and acquired climate moisture deficit data for sites from Alaska, USA eastward to Quebec, Canada in fires that burned between 1989 and 2014. Data are from 1,538 sites across 58 fire perimeters encompassing 4.52 Mha of forest and all major boreal ecozones in North America. To be included in this synthesis, a site had to contain information on species-specific post-fire seedling densities. This included sites where seedlings had been counted 2-13 years post-fire, a timeframe over which there was little change in relative dominance of species based on densities. Plot characterization data includes stand age, site drainage, disturbance history, crown combustion severity, seedbed conditions, and stand structural attributes. Gridded values of Hargreaves Climate Moisture Deficit (CMD) were obtained for each plot where plot coordinates were available. These values included 30-year normals (1981-2010) and CMD in the two years immediately following the fire year. CMD anomalies were calculated as the difference between the 30-year normal and the single year values for each of the first two years after a fire. These synthesis data are provided in comma-separated values (CSV) format. proprietary
PostFire_Tree_Regeneration_1955_1.1 ABoVE: Synthesis of Post-Fire Regeneration Across Boreal North America ALL STAC Catalog 1989-01-01 2018-12-31 -152.2, 49.12, -71.01, 66.96 https://cmr.earthdata.nasa.gov/search/concepts/C2539840222-ORNL_CLOUD.umm_json This dataset is a synthesis of species-specific pre- and post-fire tree stem density estimates, field plot characterization data, and acquired climate moisture deficit data for sites from Alaska, USA eastward to Quebec, Canada in fires that burned between 1989 and 2014. Data are from 1,538 sites across 58 fire perimeters encompassing 4.52 Mha of forest and all major boreal ecozones in North America. To be included in this synthesis, a site had to contain information on species-specific post-fire seedling densities. This included sites where seedlings had been counted 2-13 years post-fire, a timeframe over which there was little change in relative dominance of species based on densities. Plot characterization data includes stand age, site drainage, disturbance history, crown combustion severity, seedbed conditions, and stand structural attributes. Gridded values of Hargreaves Climate Moisture Deficit (CMD) were obtained for each plot where plot coordinates were available. These values included 30-year normals (1981-2010) and CMD in the two years immediately following the fire year. CMD anomalies were calculated as the difference between the 30-year normal and the single year values for each of the first two years after a fire. These synthesis data are provided in comma-separated values (CSV) format. proprietary
-Post_Fire_C_Emissions_1787_1 ABoVE: Spatial Estimates of Carbon Combustion from Wildfires across SK, Canada, 2015 ALL STAC Catalog 2015-04-06 2015-08-11 -116.06, 51.19, -100.17, 61.24 https://cmr.earthdata.nasa.gov/search/concepts/C2143401918-ORNL_CLOUD.umm_json This dataset provides spatial estimates of carbon combustion from all 2015 wildfire burned areas across Saskatchewan, Canada, on a 30-m grid. Carbon combustion (kg C/m2) was derived from post-fire field measurements of carbon stocks completed in 2016 at 47 stands that burned during three 2015 Saskatchewan wildfires (Egg, Philion, and Brady) and at 32 unburned stands in adjacent areas. The study areas covered two ecozones (Boreal Plains and Boreal Shield), two stand-replacing history types (fire and timber harvest), three soil moisture classes (xeric, mesic, and subhygric), and three stand dominance classifications (coniferous, deciduous, and mixed). To spatially extrapolate estimates of combustion to all 2015 fires in Saskatchewan, a predictive radial support vector machine model was trained on the 47 burned stands with associated environmental variables and geospatial predictors and applied to historical fire areas. The dataset also includes uncertainty estimates represented as per pixel standard deviations of model estimates derived using a Monte Carlo analysis. proprietary
Post_Fire_C_Emissions_1787_1 ABoVE: Spatial Estimates of Carbon Combustion from Wildfires across SK, Canada, 2015 ORNL_CLOUD STAC Catalog 2015-04-06 2015-08-11 -116.06, 51.19, -100.17, 61.24 https://cmr.earthdata.nasa.gov/search/concepts/C2143401918-ORNL_CLOUD.umm_json This dataset provides spatial estimates of carbon combustion from all 2015 wildfire burned areas across Saskatchewan, Canada, on a 30-m grid. Carbon combustion (kg C/m2) was derived from post-fire field measurements of carbon stocks completed in 2016 at 47 stands that burned during three 2015 Saskatchewan wildfires (Egg, Philion, and Brady) and at 32 unburned stands in adjacent areas. The study areas covered two ecozones (Boreal Plains and Boreal Shield), two stand-replacing history types (fire and timber harvest), three soil moisture classes (xeric, mesic, and subhygric), and three stand dominance classifications (coniferous, deciduous, and mixed). To spatially extrapolate estimates of combustion to all 2015 fires in Saskatchewan, a predictive radial support vector machine model was trained on the 47 burned stands with associated environmental variables and geospatial predictors and applied to historical fire areas. The dataset also includes uncertainty estimates represented as per pixel standard deviations of model estimates derived using a Monte Carlo analysis. proprietary
+Post_Fire_C_Emissions_1787_1 ABoVE: Spatial Estimates of Carbon Combustion from Wildfires across SK, Canada, 2015 ALL STAC Catalog 2015-04-06 2015-08-11 -116.06, 51.19, -100.17, 61.24 https://cmr.earthdata.nasa.gov/search/concepts/C2143401918-ORNL_CLOUD.umm_json This dataset provides spatial estimates of carbon combustion from all 2015 wildfire burned areas across Saskatchewan, Canada, on a 30-m grid. Carbon combustion (kg C/m2) was derived from post-fire field measurements of carbon stocks completed in 2016 at 47 stands that burned during three 2015 Saskatchewan wildfires (Egg, Philion, and Brady) and at 32 unburned stands in adjacent areas. The study areas covered two ecozones (Boreal Plains and Boreal Shield), two stand-replacing history types (fire and timber harvest), three soil moisture classes (xeric, mesic, and subhygric), and three stand dominance classifications (coniferous, deciduous, and mixed). To spatially extrapolate estimates of combustion to all 2015 fires in Saskatchewan, a predictive radial support vector machine model was trained on the 47 burned stands with associated environmental variables and geospatial predictors and applied to historical fire areas. The dataset also includes uncertainty estimates represented as per pixel standard deviations of model estimates derived using a Monte Carlo analysis. proprietary
Post_Fire_SOC_NWT_2235_1 Post-fire Recovery of Soil Organic Layer Carbon in Canadian Boreal Forests, 2015-2018 ORNL_CLOUD STAC Catalog 2015-06-11 2018-08-24 -132.67, 59.79, -104.19, 68.33 https://cmr.earthdata.nasa.gov/search/concepts/C2854211353-ORNL_CLOUD.umm_json This dataset provides site moisture, soil organic layer thickness, soil organic carbon, nonvascular plant functional group, stand dominance, ecozone, time-after-fire, jack pine proportion, and deciduous proportion for 511 forested plots spanning ~140,000 km2 across two ecozones of the Northwest Territories, Canada (NWT). The plots were established during 2015-2018 across 41 wildfire scars and unburned areas (no burn history prior to 1965), with 317 plots in the Plains and 194 plots in the Shield regions. At each plot, two adjacent 30-m transects were established 2 m apart, running north from the plot origin. Soil organic layer (SOL) depth (cm) was measured every 3 m and the mean was taken from the 10 measurements to calculate a plot-level SOL thickness. Three soil organic layer profiles were destructively sampled at 0, 12, and 24 m using a corer that was custom designed for NWT soils. Within the transects, all stems taller than 1.37 m were identified to species to calculate tree density (stems / m2). Nonvascular plant percent cover was identified to functional group at five, 1-m2 quadrats spaced 6 m apart along the belt transect. A subset of 2,067 of 5,137 total increments from 1,803 profiles from 421 plots were analyzed for total percent C using a CHN analyzer. Time-after-fire was established using fire history records. For older plots where no known fire history is recorded, tree age was used. Data are for the period 2015-06-11 to 2018-08-24 and are provided in comma-separated values (CSV) format. proprietary
PreABoVE_AirMOSS_L1_Alaska_1678_1 Pre-ABoVE: L1 S-0 Polarimetric Data from AirMOSS P-band SAR, Alaska, 2014-2015 ORNL_CLOUD STAC Catalog 2014-08-16 2015-10-01 -165.32, 57.22, -135.54, 71.48 https://cmr.earthdata.nasa.gov/search/concepts/C2143402734-ORNL_CLOUD.umm_json This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multi-look complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over 10 study sites across Northern Alaska, USA. Flight campaigns took place in August 2014, October 2014, April 2015, August 2015, September 2015, and October 2015. The acquired L1 P-band radar backscatter data will be used to derive estimates of soil water content and permafrost state at the study sites. proprietary
PreDeltaX_ADCP_Measurements_1806_1 Pre-Delta-X: River Discharge Channel Surveys across Atchafalaya Basin, LA, USA, 2016 ORNL_CLOUD STAC Catalog 2016-10-15 2016-10-20 -91.44, 29.44, -91.21, 29.74 https://cmr.earthdata.nasa.gov/search/concepts/C2025124066-ORNL_CLOUD.umm_json This dataset provides river discharge measurements collected at selected locations across the Atchafalaya River Basin, within the Mississippi River Delta (MRD) floodplain in coastal Louisiana, USA. The measurements were made during the Pre-Delta-X campaign on October 15 to 20, 2016. Seventy-five channel surveys were conducted with a SonTek RiverSurveyor M9 acoustic doppler current profiler (ADCP) on selected wide channels (~100 m) and a few selected (~10 m) narrow channels. ADCP data provide near-instantaneous estimates of river discharge across the sampled channels. Sites coincided with AirSWOT swaths in the Atchafalaya River Basin and water level measurement locations. This in situ dataset was used to calibrate and validate Delta-X hydrodynamic models. proprietary
@@ -13440,8 +13442,8 @@ RSS_WindSat_L1C_TB_V08.0_8.0 RSS WindSat L1C Calibrated TB Version 8 POCLOUD STA
Radarsat-2_8.0 RADARSAT-2 ESA Archive ESA STAC Catalog 2008-07-27 2021-04-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689631-ESA.umm_json The RADARSAT-2 ESA archive collection consists of RADARSAT-2 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Following Beam modes are available: Standard, Wide Swath, Fine Resolution, Extended Low Incidence, Extended High Incidence, ScanSAR Narrow and ScanSAR Wide. Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8, in single and dual polarisation . The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. BEAM MODE: Standard PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 8.0 or 11.8 x 5.1 (SLC), 8.0 x 8.0 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 9.0 or 13.5 x 7.7 (SLC), 26.8 - 17.3 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 100 x 100 Range of Angle of Incidence (deg): 20 - 52 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: • Single: HH or VV or HV or VH • Dual: HH + HV or VV + VH Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. Polarisation can be single and dual. BEAM MODE: Wide PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 11.8 x 5.1 (SLC), 10 x 10 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 13.5 x 7.7 (SLC), 40.0 - 19.2 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 150 x 150 Range of Angle of Incidence (deg): 20 - 45 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: • Single: HH or VV or HV or VH • Dual: HH + HV or VV + VH Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. RADARSAT-2 can operate in single and dual polarisation for this beam mode. BEAM MODE: Fine PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 4.7 x 5.1 (SLC), 3.13 x 3.13 (SGX), 6.25 x 6.25 (SSG, SPG) Resolution - Range x Azimuth (m): 5.2 x 7.7 (SLC), 10.4 - 6.8 x 7.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 50 x 50 Range of Angle of Incidence (deg): 30 - 50 No. of Looks - Range x Azimuth: 1 x 1 (SLC,SGX, SGF, SSG, SPG) Polarisations - Options: • Single: HH or VV or HV or VH • Dual: HH + HV or VV + VH In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. Only single polarisation is available. BEAM MODE: Extended Low PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 8.0 x 5.1 (SLC), 10.0 x 10.0 (SGX), 12.5 x 12.5 (SSG, SPG) Nominal Resolution - Range x Azimuth (m): 9.0 x 7.7 (SLC), 52.7 - 23.3 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 170 x 170 Range of Angle of Incidence (deg): 10 - 23 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: Single Pol HH In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. Only single polarisation available. BEAM MODE: Extended High PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 11.8 x 5.1 (SLC), 8.0 x 8.0 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 13.5 x 7.7 (SLC), 18.2 - 15.9 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 75 x 75 Range of Angle of Incidence (deg): 49 - 60 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: Single Pol HH ScanSAR Narrow Beam Mode provides coverage of a ground swath approximately double the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCNA, which uses physical beams W1 and W2, and SCNB, which uses physical beams W2, S5, and S6. Both options provide coverage of swath widths of about 300 km. The SCNA combination provides coverage over the incidence angle range from 20 to 39 degrees. The SCNB combination provides coverage over the incidence angle range 31 to 47 degrees. RADARSAT-2 can operate in single and dual polarisation for this beam mode. BEAM MODE: ScanSAR Narrow PRODUCT: SCN, SCF, SCS Nominal Pixel Spacing - Range x Azimuth (m) : 25 x 25 Nominal Resolution - Range x Azimuth (m):81-38 x 40-70 Nominal Scene Size - Range x Azimuth (km): 300 x 300 Range of Angle of Incidence (deg): 20 - 46 No. of Looks - Range x Azimuth: 2 x 2 Polarisations - Options: • Single Co or Cross: HH or VV or HV or VH • Dual: HH + HV or VV + VH ScanSAR Wide Beam Mode provides coverage of a ground swath approximately triple the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCWA, which uses physical beams W1, W2, W3, and S7, and SCWB, which uses physical beams W1, W2, S5 and S6. The SCWA combination allows imaging of a swath of more than 500 km covering an incidence angle range of 20 to 49 degrees. The SCWB combination allows imaging of a swath of more than 450 km covering the incidence angle. Polarisation can be single and dual. BEAM MODE: ScanSAR Wide PRODUCT: SCW, SCF, SCS Nominal Pixel Spacing - Range x Azimuth (m) : 50 x 50 Resolution - Range x Azimuth (m): 163.0 - 73 x 78-106 Nominal Scene Size - Range x Azimuth (km): 500 x 500 Range of Angle of Incidence (deg): 20 - 49 No. of Looks - Range x Azimuth: 4 x 2 Polarisations - Options: • Single Co or Cross: HH or VV or HV or VH • Dual: HH + HV or VV + VH These are the different products : SLC (Single Look Complex): Amplitude and phase information is preserved. Data is in slant range. Georeferenced and aligned with the satellite track SGF (Path Image): Data is converted to ground range and may be multi-look processed. Scene is oriented in direction of orbit path. Georeferenced and aligned with the satellite track. SGX (Path Image Plus): Same as SGF except processed with refined pixel spacing as needed to fully encompass the image data bandwidths. Georeferenced and aligned with the satellite track SSG(Map Image): Image is geocorrected to a map projection. SPG (Precision Map Image): Image is geocorrected to a map projection. Ground control points (GCP) are used to improve positional accuracy. SCN(ScanSAR Narrow)/SCF(ScanSAR Wide) : ScanSAR Narrow/Wide beam mode product with original processing options and metadata fields (for backwards compatibility only). Georeferenced and aligned with the satellite track SCF (ScanSAR Fine): ScanSAR product equivalent to SGF with additional processing options and metadata fields. Georeferenced and aligned with the satellite track SCS(ScanSAR Sampled) : Same as SCF except with finer sampling. Georeferenced and aligned with the satellite track proprietary
Radial_Growth_PRI_1781_1 ABoVE: Photochemical Reflectance and Tree Growth, Brooks Range, Alaska, 2018-2019 ORNL_CLOUD STAC Catalog 2018-05-01 2019-09-13 -149.76, 67.97, -149.72, 68.02 https://cmr.earthdata.nasa.gov/search/concepts/C2143401854-ORNL_CLOUD.umm_json This dataset provides simultaneous in-situ measurements of the photochemical reflectance index (PRI) and radial tree growth of selected white spruce trees (Picea glauca (Moench) Voss) at the northern treeline in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. PRI and dendrometer measurements were simultaneously collected on 29 trees from six plots spaced along a 5.5 km transect from south to north where tree density becomes increasingly sparse. Measurements were made throughout the 2018 and 2019 growing seasons (May 1 to September 15) with a sampling interval of 5 minutes. The data were collected to better understand the suitability of the PRI to remotely track radial tree growth dynamics. proprietary
Radial_Growth_PRI_1781_1 ABoVE: Photochemical Reflectance and Tree Growth, Brooks Range, Alaska, 2018-2019 ALL STAC Catalog 2018-05-01 2019-09-13 -149.76, 67.97, -149.72, 68.02 https://cmr.earthdata.nasa.gov/search/concepts/C2143401854-ORNL_CLOUD.umm_json This dataset provides simultaneous in-situ measurements of the photochemical reflectance index (PRI) and radial tree growth of selected white spruce trees (Picea glauca (Moench) Voss) at the northern treeline in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. PRI and dendrometer measurements were simultaneously collected on 29 trees from six plots spaced along a 5.5 km transect from south to north where tree density becomes increasingly sparse. Measurements were made throughout the 2018 and 2019 growing seasons (May 1 to September 15) with a sampling interval of 5 minutes. The data were collected to better understand the suitability of the PRI to remotely track radial tree growth dynamics. proprietary
-Rain-on-Snow_Data_1611_1 ABoVE: Rain-on-Snow Frequency and Distribution during Cold Seasons, Alaska, 2003-2016 ORNL_CLOUD STAC Catalog 2002-11-01 2016-12-31 -175.4, 48.62, -111.54, 73.85 https://cmr.earthdata.nasa.gov/search/concepts/C2162145449-ORNL_CLOUD.umm_json This dataset provides maps of rain-on-snow (ROS) events across Alaska for the individual months of November to March 2002-2011 and November to March 2012-2016, and annual water year summary maps for 2003-2011 and 2013-2016. ROS events were defined as changes in passive microwave (PM) detection in surface snow wetness and isothermal states induced by atmospheric processes often associated with winter rainfall. The data are summations of the number of days with ROS events per pixel at 6-km spatial resolution per month or per 5-month water year. The daily ROS record encompassed the months when snowmelt from solar irradiance is minimal and snow cover is widespread and relatively consistent throughout the region. Daily ROS geospatial classification across Alaska was derived by combining snow cover and daily microwave brightness temperature retrievals sensitive to landscape freeze-thaw dynamics from overlapping (1) Moderate Resolution Imaging Spectroradiometer (MODIS) MOD10A2 eight-day maximum snow cover extent (SCE) product and (2) Advanced Microwave Scanning Radiometer for EOS (AMSR-E) (2002-2011) and the Advanced Microwave Scanning Radiometer 2 (AMSR2) (2012-to present) Microwave Radiation Imager (MWRI) observations at 19 GHz and 37 GHz. proprietary
Rain-on-Snow_Data_1611_1 ABoVE: Rain-on-Snow Frequency and Distribution during Cold Seasons, Alaska, 2003-2016 ALL STAC Catalog 2002-11-01 2016-12-31 -175.4, 48.62, -111.54, 73.85 https://cmr.earthdata.nasa.gov/search/concepts/C2162145449-ORNL_CLOUD.umm_json This dataset provides maps of rain-on-snow (ROS) events across Alaska for the individual months of November to March 2002-2011 and November to March 2012-2016, and annual water year summary maps for 2003-2011 and 2013-2016. ROS events were defined as changes in passive microwave (PM) detection in surface snow wetness and isothermal states induced by atmospheric processes often associated with winter rainfall. The data are summations of the number of days with ROS events per pixel at 6-km spatial resolution per month or per 5-month water year. The daily ROS record encompassed the months when snowmelt from solar irradiance is minimal and snow cover is widespread and relatively consistent throughout the region. Daily ROS geospatial classification across Alaska was derived by combining snow cover and daily microwave brightness temperature retrievals sensitive to landscape freeze-thaw dynamics from overlapping (1) Moderate Resolution Imaging Spectroradiometer (MODIS) MOD10A2 eight-day maximum snow cover extent (SCE) product and (2) Advanced Microwave Scanning Radiometer for EOS (AMSR-E) (2002-2011) and the Advanced Microwave Scanning Radiometer 2 (AMSR2) (2012-to present) Microwave Radiation Imager (MWRI) observations at 19 GHz and 37 GHz. proprietary
+Rain-on-Snow_Data_1611_1 ABoVE: Rain-on-Snow Frequency and Distribution during Cold Seasons, Alaska, 2003-2016 ORNL_CLOUD STAC Catalog 2002-11-01 2016-12-31 -175.4, 48.62, -111.54, 73.85 https://cmr.earthdata.nasa.gov/search/concepts/C2162145449-ORNL_CLOUD.umm_json This dataset provides maps of rain-on-snow (ROS) events across Alaska for the individual months of November to March 2002-2011 and November to March 2012-2016, and annual water year summary maps for 2003-2011 and 2013-2016. ROS events were defined as changes in passive microwave (PM) detection in surface snow wetness and isothermal states induced by atmospheric processes often associated with winter rainfall. The data are summations of the number of days with ROS events per pixel at 6-km spatial resolution per month or per 5-month water year. The daily ROS record encompassed the months when snowmelt from solar irradiance is minimal and snow cover is widespread and relatively consistent throughout the region. Daily ROS geospatial classification across Alaska was derived by combining snow cover and daily microwave brightness temperature retrievals sensitive to landscape freeze-thaw dynamics from overlapping (1) Moderate Resolution Imaging Spectroradiometer (MODIS) MOD10A2 eight-day maximum snow cover extent (SCE) product and (2) Advanced Microwave Scanning Radiometer for EOS (AMSR-E) (2002-2011) and the Advanced Microwave Scanning Radiometer 2 (AMSR2) (2012-to present) Microwave Radiation Imager (MWRI) observations at 19 GHz and 37 GHz. proprietary
RapidEye.ESA.archive_7.0 RapidEye ESA archive ESA STAC Catalog 2009-02-22 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1965336937-ESA.umm_json The RapidEye ESA archive is a subset of the RapidEye Full archive that ESA collected over the years. The dataset regularly grows as ESA collects new RapidEye products. proprietary
RapidEye.Full.archive_6.0 RapidEye Full Archive ESA STAC Catalog 2009-02-01 2020-03-31 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C2547572717-ESA.umm_json The RapidEye Level 3A Ortho Tile, both Visual (in natural colour) and Analytic (multispectral), full archive and new tasking products are available as part of Planet imagery offer. The RapidEye Ortho Tile product (L3A) is radiometric, sensor and geometrically corrected (by using DEMs with a post spacing of between 30 and 90 meters) and aligned to a cartographic map projection. Ground Control Points (GCPs) are used in the creation of every image and the accuracy of the product will vary from region to region based on available GCPs. Product Components and Format: • Image File – GeoTIFF file that contains image data and geolocation information • Metadata File – XML format metadata file • Unusable Data Mask (UDM) file – GeoTIFF format Bands: 3-band natural color (blue, green, red) or 5-band multispectral image (blue, green, red, red edge, near-infrared) Ground Sampling Distance (nadir): 6.5 m at nadir (average at reference altitude 475 km) Projection: UTM WGS84 Accuracy: depends on the quality of the reference data used (GCPs and DEMs) The products are available as part of the Planet provision from RapidEye, Skysat and PlanetScope constellations.RapidEye collection has worldwide coverage: the Planet Explorer Catalogue (https://www.planet.com/explorer/) can be accessed (Planet registration requested) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Access-to-ESAs-Planet-Missions-Terms-of-Applicability.pdf). proprietary
RapidEye.South.America_6.0 RapidEye South America ESA STAC Catalog 2012-07-12 2015-12-13 -81, -41, 54, 1 https://cmr.earthdata.nasa.gov/search/concepts/C1965336940-ESA.umm_json ESA, in collaboration with BlackBridge, has collected this RapidEye dataset of level 3A tiles covering more than 6 million km2 of South American countries: Paraguay, Ecuador, Chile, Bolivia, Peru, Uruguay and Argentina. The area is fully covered with low cloud coverage proprietary
@@ -13458,10 +13460,10 @@ ResourceSat-2.archive.and.tasking_6.0 ResourceSat-2 full archive and tasking ESA
Respiration_622_1 Global Annual Soil Respiration Data (Raich and Schlesinger 1992) ORNL_CLOUD STAC Catalog 1963-01-01 1992-01-01 -156.4, -37.5, 146.5, 71.18 https://cmr.earthdata.nasa.gov/search/concepts/C2216863171-ORNL_CLOUD.umm_json This data set is a compilation of soil respiration rates (g C m-2 yr-1) from terrestrial and wetland ecosystems reported in the literature prior to 1992. These rates were measured in a variety of ecosystems to examine rates of microbial activity, nutrient turnover, carbon cycling, root dynamics, and a variety of other soil processes. Also included in the data set are biome type, vegetation type, locality, and geographic coordinates. proprietary
RiSCC_Outcomes_Bibliography_1 A bibliography containing references to the outcomes of the RiSCC project from the Antarctic and subantarctic regions AU_AADC STAC Catalog 1994-01-01 2006-12-31 -180, -70, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214311230-AU_AADC.umm_json A bibliography of references relating to the outcomes of the RiSCC project (Regional Sensitivity to Climate Change in Antarctic Terrestrial Ecosystems) from the Antarctic and subantarctic regions, dating from 1994 to 2006. The bibliography was compiled by Dana Bergstrom, and contains 162 references. proprietary
RiSCC_Outcomes_Bibliography_1 A bibliography containing references to the outcomes of the RiSCC project from the Antarctic and subantarctic regions ALL STAC Catalog 1994-01-01 2006-12-31 -180, -70, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214311230-AU_AADC.umm_json A bibliography of references relating to the outcomes of the RiSCC project (Regional Sensitivity to Climate Change in Antarctic Terrestrial Ecosystems) from the Antarctic and subantarctic regions, dating from 1994 to 2006. The bibliography was compiled by Dana Bergstrom, and contains 162 references. proprietary
-RiSCC_Research_Support_Bibliography_1 A bibliography containing references to the research support of the RiSCC project from the Antarctic and subantarctic regions AU_AADC STAC Catalog 1875-01-01 2004-12-31 -180, -70, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214311231-AU_AADC.umm_json A bibliography of references relating to the research support of the RiSCC project (Regional Sensitivity to Climate Change in Antarctic Terrestrial Ecosystems) from the Antarctic and subantarctic regions, dating from 1875 to 2004. The bibliography was compiled by Dana Bergstrom, and contains 76 references. proprietary
RiSCC_Research_Support_Bibliography_1 A bibliography containing references to the research support of the RiSCC project from the Antarctic and subantarctic regions ALL STAC Catalog 1875-01-01 2004-12-31 -180, -70, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214311231-AU_AADC.umm_json A bibliography of references relating to the research support of the RiSCC project (Regional Sensitivity to Climate Change in Antarctic Terrestrial Ecosystems) from the Antarctic and subantarctic regions, dating from 1875 to 2004. The bibliography was compiled by Dana Bergstrom, and contains 76 references. proprietary
-River_Ice_Breakup_Freezeup_1697_1 ABoVE: River Ice Breakup and Freeze-up Stages, Yukon River Basin, Alaska, 1972-2016 ALL STAC Catalog 1972-11-04 2016-11-30 -160.07, 62.9, -142.99, 66.36 https://cmr.earthdata.nasa.gov/search/concepts/C2143403517-ORNL_CLOUD.umm_json This dataset provides estimates of river ice breakup and freeze-up stages along selected reaches of the Yukon and Tanana Rivers in the Yukon River Basin in interior Alaska from 1972-2016. Time series of Landsat satellite images were visually interpreted to identify the day of year and characteristics of the different stages of river ice seasonality. The stages of breakup or freeze-up were distinguished from one another based on the spatial extent and patterns of open water and ice cover. Images were displayed as false color composites, with the shortwave infrared (SWIR), near infrared (NIR), and green bands represented by red, green, and blue. proprietary
+RiSCC_Research_Support_Bibliography_1 A bibliography containing references to the research support of the RiSCC project from the Antarctic and subantarctic regions AU_AADC STAC Catalog 1875-01-01 2004-12-31 -180, -70, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214311231-AU_AADC.umm_json A bibliography of references relating to the research support of the RiSCC project (Regional Sensitivity to Climate Change in Antarctic Terrestrial Ecosystems) from the Antarctic and subantarctic regions, dating from 1875 to 2004. The bibliography was compiled by Dana Bergstrom, and contains 76 references. proprietary
River_Ice_Breakup_Freezeup_1697_1 ABoVE: River Ice Breakup and Freeze-up Stages, Yukon River Basin, Alaska, 1972-2016 ORNL_CLOUD STAC Catalog 1972-11-04 2016-11-30 -160.07, 62.9, -142.99, 66.36 https://cmr.earthdata.nasa.gov/search/concepts/C2143403517-ORNL_CLOUD.umm_json This dataset provides estimates of river ice breakup and freeze-up stages along selected reaches of the Yukon and Tanana Rivers in the Yukon River Basin in interior Alaska from 1972-2016. Time series of Landsat satellite images were visually interpreted to identify the day of year and characteristics of the different stages of river ice seasonality. The stages of breakup or freeze-up were distinguished from one another based on the spatial extent and patterns of open water and ice cover. Images were displayed as false color composites, with the shortwave infrared (SWIR), near infrared (NIR), and green bands represented by red, green, and blue. proprietary
+River_Ice_Breakup_Freezeup_1697_1 ABoVE: River Ice Breakup and Freeze-up Stages, Yukon River Basin, Alaska, 1972-2016 ALL STAC Catalog 1972-11-04 2016-11-30 -160.07, 62.9, -142.99, 66.36 https://cmr.earthdata.nasa.gov/search/concepts/C2143403517-ORNL_CLOUD.umm_json This dataset provides estimates of river ice breakup and freeze-up stages along selected reaches of the Yukon and Tanana Rivers in the Yukon River Basin in interior Alaska from 1972-2016. Time series of Landsat satellite images were visually interpreted to identify the day of year and characteristics of the different stages of river ice seasonality. The stages of breakup or freeze-up were distinguished from one another based on the spatial extent and patterns of open water and ice cover. Images were displayed as false color composites, with the shortwave infrared (SWIR), near infrared (NIR), and green bands represented by red, green, and blue. proprietary
RoyalPenguin1955-1969_1 Breeding biology of the Royal Penguin (Eudypted chrysolophus)at Macquarie Island 1955-1969 AU_AADC STAC Catalog 1955-01-01 1969-12-31 158.76892, -54.78247, 158.95569, -54.48201 https://cmr.earthdata.nasa.gov/search/concepts/C1214313721-AU_AADC.umm_json The data are contained in a number of log books in hand written form (now scanned onto CD ROM. They were gathered according to a protocol updated annually by the Principal Investigator, DR Robert Carrick (now deceased). Details are contained in the paper Carrick R (1972) Population ecology of the Australian black-backed magpie, royal penguin, and silver gull. in: Population ecology of migratory birds - A symposium. US Dept of the Interior, Fish and wildlife service. Wildlife Research Report 2. pp 41-99. The only other information on the Royal penguin population to come from these investigations is the PhD Thesis of G.T. Smith, Studies on the behaviour and reproduction of the Royal penguin Eudyptes chrysolophus schlegeli. Australian National University April 1970. The log books contain a vast array of observations on the Royal penguin. Major observations/studies include banding of chicks and adults, breeding chronology, egg laying, breeding success, arrival weights, movements within and between colonies. The protocols for the collection of the data are missing although some instructions and notes are included in the volumes. Some data have also been entered into an excel spreadsheet. proprietary
Ruker_rymill_sat_1 Mount Ruker and Mount Rymill Satellite Image Maps 1:100 000 AU_AADC STAC Catalog 1989-03-18 1989-11-29 63, -74, 66.67, -72.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214311244-AU_AADC.umm_json Two satellite images maps of Mt Ruker and Mt Rymill in the Australian Antarctic Territory were produced by the Australian Antarctic Division in 1998. Both maps are at a scale of 1:100 000 using Landsat TM imagery. Data source: Mount Ruker - Landsat TM imagery, scenes 128/112, acquired 29 November 1989. Mount Rymill - Landsat TM imagery, scenes 128/111 and 128/112, acquired 18 March 1989 and 29 November 1989 respectively. Nomenclature: Names have been approved by the Antarctic Names Committee of Australia. Please see the URL link for details on the images and processes used to produce these maps. proprietary
Russian_Forest_Disturbance_1294_1 Russian Boreal Forest Disturbance Maps Derived from Landsat Imagery, 1984-2000 ORNL_CLOUD STAC Catalog 1984-06-01 2000-08-31 30.98, 43.76, 138.63, 65.32 https://cmr.earthdata.nasa.gov/search/concepts/C2773247983-ORNL_CLOUD.umm_json This data set provides Boreal forest disturbance maps at 30-m resolution for 55 selected sites across Northern Eurasia within the Russian Federation. Disturbance events were derived from selected high-quality multi-year time series of Landsat Thematic Mapper and Enhanced Thematic Mapper Plus images (stacks) over the 1984 to 2000 time period. Forest pixels were classified by year of latest disturbance or as undisturbed. proprietary
@@ -13574,8 +13576,8 @@ SAR_IMM_1P_10.0 ERS-1/2 SAR IM Medium Resolution L1 [SAR_IMM_1P] ESA STAC Catalo
SAR_IMP_1P_8.0 ERS-1/2 SAR IM Precision L1 [SAR_IMP_1P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1532648151-ESA.umm_json The SAR Precision product is a multi-look (speckle-reduced), ground range image acquired in Image Mode. This product type is most applicable to users interested in remote sensing applications, but is also suitable for calibration purposes. The products are calibrated and corrected for the SAR antenna pattern and range-spreading loss. Radar backscatter can be derived from the products for geophysical modelling, but no correction is applied for terrain-induced radiometric effects. The images are not geocoded, and terrain distortion (foreshortening and layover) has not been removed. The numbering sequence relates to the satellite position and therefore differs between Ascending and Descending scenes. Product characteristics: - Pixel size: 12.5 m (range - across track) x 12.5 m (azimuth - along track) - Scene area: 100 km (range) x at least 102.5 km (azimuth) - Scene size: 8000 pixels range x at least 8200 lines (azimuth) - Pixel depth: 16 bits unsigned integer - Total product volume: 125 MBs - Projection: Ground-range - Number of looks: 3 proprietary
SAR_IMS_1P_8.0 ERS-1/2 SAR IM Single Look Complex L1 [SAR_IMS_1P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1532648152-ESA.umm_json The SAR SLC product is a single look complex acquired in Image Mode. It is a digital image, with slant range and phase preserved, generated from raw SAR data using up-to-date auxiliary parameters. The products are intended for use in SAR quality assessment, calibration and interferometric applications. A minimum number of corrections and interpolations are performed on the data. Absolute calibration parameters (when available) are provided in the product annotation. Product characteristics: - Pixel size: 8 m (range - across track) x 4 m (azimuth - along track – varying slightly depending on acquisition Pulse Repetition Frequency) - Scene area: 100 km (range) x at least 102.5 km (azimuth) - Scene size: 5000 samples (range) x at least 30000 lines (azimuth) - Pixel depth: 32 bits signed integer (16 bits I, 16 bits Q) - Total product volume: 575 MB - Projection: Slant range - Number of looks: 1 proprietary
SAR_IM_0P_9.0 ERS-1/2 SAR IM L0 [SAR_IM__0P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336946-ESA.umm_json This SAR Level 0 product is acquired in Image Mode. The products consist of the SAR telemetry data and are supplied as standard scenes. It also contains all the required auxiliary data necessary for data processing. The product serves two main purposes: For testing ERS SAR processors independently from the HDDR system For users interested in full SAR data processing. Product characteristics: - Scene area: 100 km (range - across track) x full segment length (azimuth - along track) - Scene size: 5616 samples (range) x full segment length (azimuth) - Pixel depth: 10 bits signed integer (5 bits I, 5 bits Q) - Projection: Slant range proprietary
-SAR_Methane_Ebullition_AK_1790_1 ABoVE: SAR-based Methane Ebullition Flux from Lakes, Five Regions, Alaska, 2007-2010 ORNL_CLOUD STAC Catalog 2007-11-13 2010-11-11 -165.17, 64.44, -147.37, 71.35 https://cmr.earthdata.nasa.gov/search/concepts/C2143401901-ORNL_CLOUD.umm_json This dataset provides Synthetic Aperture Radar (SAR) estimates of lake-source methane ebullition flux in mg CH4/m2/d for thousands of lakes in five regions across Alaska. The study regions include the Atqasuk, Barrow Peninsula, Fairbanks, northern Seward Peninsula, and Toolik. L-band SAR backscatter values for early winter lake ice scenes were collected from 2007 to 2010 over 5,143 lakes using the Phased Array type L-band Synthetic Aperture Radar (PALSAR) instrument on the Advanced Land Observing Satellite (ALOS-1) satellite. The backscatter data were combined with field measurements of methane ebullition from 48 study lakes across the five regions to obtain a volumetric flux estimate for each lake. Mean methane gas-fractions from each region were applied to the SAR-based volumetric fluxes to obtain an estimate of methane ebullition mass flux per lake. The data files contain lake perimeters and the lake-specific attributes of lake area, SAR backscatter values and standard errors, volumetric flux with standard errors, mean percent of methane from gas samples, and methane ebullition mass flux. proprietary
SAR_Methane_Ebullition_AK_1790_1 ABoVE: SAR-based Methane Ebullition Flux from Lakes, Five Regions, Alaska, 2007-2010 ALL STAC Catalog 2007-11-13 2010-11-11 -165.17, 64.44, -147.37, 71.35 https://cmr.earthdata.nasa.gov/search/concepts/C2143401901-ORNL_CLOUD.umm_json This dataset provides Synthetic Aperture Radar (SAR) estimates of lake-source methane ebullition flux in mg CH4/m2/d for thousands of lakes in five regions across Alaska. The study regions include the Atqasuk, Barrow Peninsula, Fairbanks, northern Seward Peninsula, and Toolik. L-band SAR backscatter values for early winter lake ice scenes were collected from 2007 to 2010 over 5,143 lakes using the Phased Array type L-band Synthetic Aperture Radar (PALSAR) instrument on the Advanced Land Observing Satellite (ALOS-1) satellite. The backscatter data were combined with field measurements of methane ebullition from 48 study lakes across the five regions to obtain a volumetric flux estimate for each lake. Mean methane gas-fractions from each region were applied to the SAR-based volumetric fluxes to obtain an estimate of methane ebullition mass flux per lake. The data files contain lake perimeters and the lake-specific attributes of lake area, SAR backscatter values and standard errors, volumetric flux with standard errors, mean percent of methane from gas samples, and methane ebullition mass flux. proprietary
+SAR_Methane_Ebullition_AK_1790_1 ABoVE: SAR-based Methane Ebullition Flux from Lakes, Five Regions, Alaska, 2007-2010 ORNL_CLOUD STAC Catalog 2007-11-13 2010-11-11 -165.17, 64.44, -147.37, 71.35 https://cmr.earthdata.nasa.gov/search/concepts/C2143401901-ORNL_CLOUD.umm_json This dataset provides Synthetic Aperture Radar (SAR) estimates of lake-source methane ebullition flux in mg CH4/m2/d for thousands of lakes in five regions across Alaska. The study regions include the Atqasuk, Barrow Peninsula, Fairbanks, northern Seward Peninsula, and Toolik. L-band SAR backscatter values for early winter lake ice scenes were collected from 2007 to 2010 over 5,143 lakes using the Phased Array type L-band Synthetic Aperture Radar (PALSAR) instrument on the Advanced Land Observing Satellite (ALOS-1) satellite. The backscatter data were combined with field measurements of methane ebullition from 48 study lakes across the five regions to obtain a volumetric flux estimate for each lake. Mean methane gas-fractions from each region were applied to the SAR-based volumetric fluxes to obtain an estimate of methane ebullition mass flux per lake. The data files contain lake perimeters and the lake-specific attributes of lake area, SAR backscatter values and standard errors, volumetric flux with standard errors, mean percent of methane from gas samples, and methane ebullition mass flux. proprietary
SASSIE_L1_SWIFT_V1_1 SASSIE Arctic Field Campaign L1 SWIFT Data Fall 2022 POCLOUD STAC Catalog 2022-08-01 2022-10-31 -153.6, 72, -145.5, 73.5 https://cmr.earthdata.nasa.gov/search/concepts/C2580152405-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. The Surface Wave Instrument Float with Tracking (SWIFT) drifter is a passive Lagrangian wave-following sensor platform. During the SASSIE deployment, five SWIFT drifters were deployed in September 2022, collecting measurements of salinity, sea surface temperature, waves, and meteorological data. SWIFT drifter buoys contain GPS, a pulse-coherent Doppler velocity profiler, an autonomous meteorological station, and a digital video recorder. Level 1 data are available as compressed files containing graphics of the measurements alongside MATLAB and NetCDF files. proprietary
SASSIE_L1_WAVEGLIDER_V1_1 SASSIE Arctic Field Campaign L1 Wave Glider Data Fall 2022 POCLOUD STAC Catalog 2022-08-01 2022-10-31 -170.5, 67.46, -138, 75.75 https://cmr.earthdata.nasa.gov/search/concepts/C2580179397-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. A waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. During the SASSIE deployment, four wavegliders were deployed near Prudhoe Bay on 12-14 August 2022. The wavegliders collect measurements of ocean surface salinity, temperature, currents, waves, and meteorological data. Custom integrated Casting CTDs provide additional profiles of salinity and temperature to a depth of 150m below the surface. L1 data are available as a compressed file containing graphics of the measurements alongside MATLAB data files. proprietary
SASSIE_L2_ALTO_ALAMO_FLOATS_V1_1 SASSIE Arctic Field Campaign ALTO/ALAMO Profiling Float Data Fall 2022 Version 1 POCLOUD STAC Catalog 2022-09-08 2022-10-15 -156, 71, -145, 73.5 https://cmr.earthdata.nasa.gov/search/concepts/C2638311700-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains temperature and salinity measurements collected by ALTO and Air Launched Autonomous Micro Observer (ALAMO) profiling floats deployed in the Beaufort Sea. ALTO floats had ice-avoidance firmware, meaning that they stopped surfacing and transmitting data once surface temperatures dropped to near-freezing values (indicating the presence of sea ice). They will hopefully reappear in summer 2023 to report data from the previous ice-covered season. ALAMO floats did not have ice-avoidance, in order to ensure that they reported data as long as possible during ice freeze-up. As a result, they will likely not survive over the winter. Future versions if this dataset may include data collected after Fall 2022. Data are available in netCDF format. proprietary
@@ -13667,8 +13669,8 @@ SEAC4RS_Sondes_Data_1 SEAC4RS Radiosonde/Ozonesonde Data LARC_ASDC STAC Catalog
SEAC4RS_TraceGas_AircraftInSitu_DC8_Data_1 SEAC4RS DC-8 Aircraft In-Situ Trace Gas Data LARC_ASDC STAC Catalog 2013-08-02 2013-09-24 -127, 19, -79, 51 https://cmr.earthdata.nasa.gov/search/concepts/C2119341669-LARC_ASDC.umm_json SEAC4RS_TraceGas_AircraftInSitu_DC8_Data are in-situ trace gas data collected onboard the DC8 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete. Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest. proprietary
SEAC4RS_TraceGas_AircraftInSitu_ER2_Data_1 SEAC4RS ER-2 Aircraft In-Situ Trace Gas Data LARC_ASDC STAC Catalog 2013-08-01 2013-09-23 -128, 15, -82, 53 https://cmr.earthdata.nasa.gov/search/concepts/C2119341690-LARC_ASDC.umm_json SEAC4RS_TraceGas_AircraftInSitu_ER2_Data are in-situ trace gas data collected onboard the ER-2 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete. Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest. proprietary
SEAC4RS_jValue_AircraftInSitu_DC8_Data_1 SEAC4RS DC-8 Aircraft In-Situ Photolysis Rate Data LARC_ASDC STAC Catalog 2013-08-02 2013-09-24 -127, 19, -80, 51 https://cmr.earthdata.nasa.gov/search/concepts/C2119341667-LARC_ASDC.umm_json SEAC4RS_jValue_AircraftInSitu_DC8_Data are in-situ photolysis rate (j value) data collected onboard the DC8 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete. Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest. proprietary
-SEAGLIDER_GUAM_2019_V1 Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020) ALL STAC Catalog 2019-10-03 2020-01-15 143.63035, 13.39476, 144.613, 14.71229 https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.umm_json This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14°N 144°E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington. proprietary
SEAGLIDER_GUAM_2019_V1 Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020) POCLOUD STAC Catalog 2019-10-03 2020-01-15 143.63035, 13.39476, 144.613, 14.71229 https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.umm_json This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14°N 144°E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington. proprietary
+SEAGLIDER_GUAM_2019_V1 Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020) ALL STAC Catalog 2019-10-03 2020-01-15 143.63035, 13.39476, 144.613, 14.71229 https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.umm_json This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14°N 144°E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington. proprietary
SEAHAWK_VALIDATION_0 Continuing the Mission: SeaHawk-1 Ocean Color CubeSat Nanosatellite OB_DAAC STAC Catalog 2022-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2639478178-OB_DAAC.umm_json Satellite validation work related to the SeaHawk Ocean Color CubeSat mission. This is a partnership between NASA, UNCW, UGA, ACC Clyde Space and Cloudland instruments. The project was funded by the Gordon and Betty Moore Foundation (grant number 11171) for years 2022-2025. proprietary
SEASAT_SAR_L1_HDF5_1 SEASAT_SAR_LEVEL1_HDF5 ASF STAC Catalog 1978-07-04 1978-10-11 164.882812, 2.811371, 163.125, 77.235074 https://cmr.earthdata.nasa.gov/search/concepts/C1206500991-ASF.umm_json SEASAT Image Level 1 proprietary
SEASAT_SAR_L1_TIFF_1 SEASAT_SAR_LEVEL1_GEOTIFF ASF STAC Catalog 1978-07-04 1978-10-11 164.882812, 2.811371, 163.125, 77.235074 https://cmr.earthdata.nasa.gov/search/concepts/C1206500826-ASF.umm_json SEASAT Image GeoTIFF proprietary
@@ -13743,11 +13745,11 @@ SIMBAD_DESCHAMPS_LOA_0 Measurements using the SIMBAD radiometer by the Laboratoi
SIO-Pier_0 Scripps Ocean Institute (SOI) pier measurements OB_DAAC STAC Catalog 2007-04-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360662-OB_DAAC.umm_json Measurements made from the Scripps Ocean Institute pier in 2007. proprietary
SIPEX_ASPECT_1 ASPeCt Sea Ice Data from the SIPEX Voyage of the Aurora Australis in 2007-2008 AU_AADC STAC Catalog 2007-09-09 2007-10-11 116.43, -65.6, 129.133, -61.9 https://cmr.earthdata.nasa.gov/search/concepts/C1214311291-AU_AADC.umm_json ASPeCt is an expert group on multi-disciplinary Antarctic sea ice zone research within the SCAR Physical Sciences program. Established in 1996, ASPeCt has the key objective of improving our understanding of the Antarctic sea ice zone through focussed and ongoing field programs, remote sensing and numerical modelling. The program is designed to complement, and contribute to, other international science programs in Antarctica as well as existing and proposed research programs within national Antarctic programs. ASPeCt also includes a component of data rescue of valuable historical sea ice zone information. The overall aim of ASPeCt is to understand and model the role of Antarctic sea ice in the coupled atmosphere-ice-ocean system. This requires an understanding of key processes, and the determination of physical, chemical, and biological properties of the sea ice zone. These are addressed by objectives which are: 1) To establish the distribution of the basic physical properties of sea ice that are important to air-sea interaction and to biological processes within the Antarctic sea-ice zone (ice and snow cover thickness distributions; structural, chemical and thermal properties of the snow and ice; upper ocean hydrography; floe size and lead distribution). These data are required to derive forcing and validation fields for climate models and to determine factors controlling the biology and ecology of the sea ice-associated biota. 2) To understand the key sea-ice zone processes necessary for improved parameterization of these processes in coupled models. These ASPeCt measurements were taken onboard the Aurora Australis during the SIPEX voyage in the 2007-2008 summer season. proprietary
SIPEX_II_ASPECT_1 ASPeCt ship-based observations during the SIPEX II voyage of the Aurora Australis, 2012 AU_AADC STAC Catalog 2012-09-22 2012-11-11 113, -66, 125, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214311294-AU_AADC.umm_json This dataset contains observations of ice conditions taken from the bridge of the RV Aurora Australis during SIPEX 2012, following the Scientific Committee on Antarctic Research/CliC Antarctic Sea Ice Processes and Climate [ASPeCt] protocols. See aspect.antarctica.gov.au Observations include total and partial concentration, ice type, thickness, floe size, topography, and snow cover in each of three primary ice categories; open water characteristics, and weather summary. The dataset is comprised of the scanned pages of a single logbook, which holds hourly observations taken by observers while the ship was moving through sea-ice zone. The following persons assisted in the collection of these data: Dr R. Massom, AAD, Member of observation team Mr A. Steer, AAD, Member of observation team Prof S. Warren, UW(Seattle), USA, Member of observation team Dr J. Hutchings, IARC, UAF, USA, Member of observation team Dr T. Toyota, Inst Low Temp Science, Japan, Member of observation team Dr T. Tamura, NIPR, Japan, Member of EM observation team Dr G. Dieckmann, AWI, Germany, Member of observation team Dr E. Maksym, WHOI, USA, Member of observation team Mr R. Stevens, IMAS, Trainee on observation team Dr J. Melbourne-Thomas, ACE CRC, Trainee on observation team Dr A. Giles, ACE CRC, Trainee on observation team Ms M. Zhia, IMAS, Trainee on observation team Ms J. Jansens, IMAS, Trainee on observation team Mr R. Humphries, Univ Wollengong, Trainee on observation team Mr C. Sampson, Univ Utah, USA, Trainee on observation team Mr Olivier Lecomte, Univ Catholique, Louvain-la-Neuve, Belgium, Trainee on observation team Mr D. Lubbers, Univ Utah, USA, Trainee on observation team Ms M. Zatko, UW(Seattle), USA, Trainee on observation team Ms C. Gionfriddo, Uni Melbourne, Trainee on observation team Mr K. Nakata, EES, Japan, Trainee on observation team proprietary
-SIPEX_II_AUV_1 3-D mapping of sea ice draft with an autonomous underwater vehicle AU_AADC STAC Catalog 2012-09-28 2012-10-13 115, -65, 125, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214311295-AU_AADC.umm_json We set out to achieve floe-scale 3-D mapping of sea ice draft and bio-optical parameters using a Multibeam SONAR and Hyperspectral radiometer mounted to an Autonomous Underwater Vehicle (AUV). The AUV utilised was the 'JAGUAR' Seabed-class vehicle from the Deep Submergence Laboratory at the WoodsHole Oceanographic Institution. The AUV comes with a CTD and ADCP. However these are not deployed as scientific sensors and therefore are unsupported in terms of metadata. In particular the CTD was not calibrated before or during the voyage. The AUV used a LongBaseLine system formed by three transponders to navigate to and from the survey grid. Two were located on the ice and the third was deployed from the back of the ship with an acoustic communications modem. Once at the survey grid beneath the sea ice, the AUV used the DVL to navigate using bottom-tracking of the underside of the sea ice. We conducted 4 missions beneath sea-ice during the SIPEX-II voyage. The current status of the data is that is in un-processed and unavailable until final processing is completed in 2013. Persons interested in the data should contact Dr Guy Williams directly for further information and preliminary figures relating to the AUV missions. The files currently in the archive are in raw form. Some preliminary data is provided for stations 2, 3, 4 and 6 as: floe-2-20120926.mat floe-3-20121003.mat floe-4-20121006.mat floe-6-20121013.mat These can be accessed using the Seabed_plot routines (MATLAB) in this folder. There is a readme file provided called what-is-this.txt Also included is the video footage taken from the AUV using a GoPro HD Hero. Video Codec: avc1 Resolution: 1920x1080 pixels Frame Rate: 29.970030 f/s Audio Codec: mp4a Audio Bitrate: 1536 kb/s Finally, plots of the data for ice stations 2,3,4 and 6 are included in the preliminary figures folder. The file names indicate which ice station the plots are from. proprietary
SIPEX_II_AUV_1 3-D mapping of sea ice draft with an autonomous underwater vehicle ALL STAC Catalog 2012-09-28 2012-10-13 115, -65, 125, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214311295-AU_AADC.umm_json We set out to achieve floe-scale 3-D mapping of sea ice draft and bio-optical parameters using a Multibeam SONAR and Hyperspectral radiometer mounted to an Autonomous Underwater Vehicle (AUV). The AUV utilised was the 'JAGUAR' Seabed-class vehicle from the Deep Submergence Laboratory at the WoodsHole Oceanographic Institution. The AUV comes with a CTD and ADCP. However these are not deployed as scientific sensors and therefore are unsupported in terms of metadata. In particular the CTD was not calibrated before or during the voyage. The AUV used a LongBaseLine system formed by three transponders to navigate to and from the survey grid. Two were located on the ice and the third was deployed from the back of the ship with an acoustic communications modem. Once at the survey grid beneath the sea ice, the AUV used the DVL to navigate using bottom-tracking of the underside of the sea ice. We conducted 4 missions beneath sea-ice during the SIPEX-II voyage. The current status of the data is that is in un-processed and unavailable until final processing is completed in 2013. Persons interested in the data should contact Dr Guy Williams directly for further information and preliminary figures relating to the AUV missions. The files currently in the archive are in raw form. Some preliminary data is provided for stations 2, 3, 4 and 6 as: floe-2-20120926.mat floe-3-20121003.mat floe-4-20121006.mat floe-6-20121013.mat These can be accessed using the Seabed_plot routines (MATLAB) in this folder. There is a readme file provided called what-is-this.txt Also included is the video footage taken from the AUV using a GoPro HD Hero. Video Codec: avc1 Resolution: 1920x1080 pixels Frame Rate: 29.970030 f/s Audio Codec: mp4a Audio Bitrate: 1536 kb/s Finally, plots of the data for ice stations 2,3,4 and 6 are included in the preliminary figures folder. The file names indicate which ice station the plots are from. proprietary
+SIPEX_II_AUV_1 3-D mapping of sea ice draft with an autonomous underwater vehicle AU_AADC STAC Catalog 2012-09-28 2012-10-13 115, -65, 125, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214311295-AU_AADC.umm_json We set out to achieve floe-scale 3-D mapping of sea ice draft and bio-optical parameters using a Multibeam SONAR and Hyperspectral radiometer mounted to an Autonomous Underwater Vehicle (AUV). The AUV utilised was the 'JAGUAR' Seabed-class vehicle from the Deep Submergence Laboratory at the WoodsHole Oceanographic Institution. The AUV comes with a CTD and ADCP. However these are not deployed as scientific sensors and therefore are unsupported in terms of metadata. In particular the CTD was not calibrated before or during the voyage. The AUV used a LongBaseLine system formed by three transponders to navigate to and from the survey grid. Two were located on the ice and the third was deployed from the back of the ship with an acoustic communications modem. Once at the survey grid beneath the sea ice, the AUV used the DVL to navigate using bottom-tracking of the underside of the sea ice. We conducted 4 missions beneath sea-ice during the SIPEX-II voyage. The current status of the data is that is in un-processed and unavailable until final processing is completed in 2013. Persons interested in the data should contact Dr Guy Williams directly for further information and preliminary figures relating to the AUV missions. The files currently in the archive are in raw form. Some preliminary data is provided for stations 2, 3, 4 and 6 as: floe-2-20120926.mat floe-3-20121003.mat floe-4-20121006.mat floe-6-20121013.mat These can be accessed using the Seabed_plot routines (MATLAB) in this folder. There is a readme file provided called what-is-this.txt Also included is the video footage taken from the AUV using a GoPro HD Hero. Video Codec: avc1 Resolution: 1920x1080 pixels Frame Rate: 29.970030 f/s Audio Codec: mp4a Audio Bitrate: 1536 kb/s Finally, plots of the data for ice stations 2,3,4 and 6 are included in the preliminary figures folder. The file names indicate which ice station the plots are from. proprietary
SIPEX_II_Aerosols_1 In-situ total aerosol number using condensation particle counters as observed during the SIPEX II voyage of the Aurora Australis, 2012 AU_AADC STAC Catalog 2012-09-23 2012-10-24 119, -67, 150, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214311293-AU_AADC.umm_json "The current dataset includes total aerosol count from two different Condensation Particle Counters (CPCs). The two CPCs measure total aerosol number in two different size ranges: - TSI Model 3025A measures particles with diameters larger than 3 nm (files are in the 3025_3nm folder) - TSI Model 3772 measures particles with diameters larger than 10 nm (files are in the 3772_10nm folder) The two CPCs are measuring from the same sample air and as such, the difference between the two measurements gives a measurement of total aerosol concentration in the 3-10 nm size range, known as the nucleation mode. Instrument setup: The instruments are setup inside an insulated shipping container mounted on the hatch covers directly aft of the forecastle. A 100 L pump is used to pull sample air from a 3 m high mast located on the starboard side of the forecastle. The air is pulled through 17 m of 50 mm antistatic (copper coil) polyurethane tubing and 2 m of 50 mm stainless steel pipe for connection and extensions. A 1 m length of one quarter inch stainless steel tubing penetrates into the container and directly through the wall of the polyurethane tubing for sampling off the primary flow to the CPCs. The inserted stainless steel tubing is oriented in such a way that sampled aerosol experience minimal turns to avoid sample loss. Approximately 1.7 m of flexible conductive tubing extends to a Y-piece which directs flow into each CPC. Butanol contaminated exhaust from the CPCs is pushed out of the container by two 10 LPM pumps. Data Processing: Raw data is calibrated for each instrument's recorded flow rate, and an inlet efficiency to correct for losses in the long inlet. Data is then resampled to minute time resolution, and filtered for logged events, wind directions which sampled ship exhaust, and outliers in the dataset. This produced a dataset which represented the sampling of clean Antarctic background atmosphere. The dataset includes both aerosol number concentrations from each instrument giving total number of particles above 3 nm and 10 nm respectively, as well as the different between these values, which gives a measure of newly formed particles in the nucleation mode between 3-10 nm (New Particle Formation, NPF). Associated uncertainties are included in the dataset." proprietary
-SIPEX_II_Albedo_1 Albedos for 300-2500nm for thin sea ice covered with frost flowers, nilas, snow, and slush collected during SIPEX II ALL STAC Catalog 2012-09-14 2012-11-04 113, -66, 147, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214311265-AU_AADC.umm_json This dataset contains albedo data for several varieties of sea ice and snow from 300-2500 nm measured during the SIPEX II voyage (2012). An Analytical Spectral Device (ASD) spectrophotometer records the amount of radiation impingent on a cosine collector, which contains a spectralon diffuser plate. The radiation that hits the diffuser plate is scattered equally in all directions (isotropically). A portion of the radiation incident on the plate is scattered in the direction of a fiber optic cable, which is connected to the ASD. The ASD separates the incoming radiation into 3-10 nm wavelength bins, thus creating a radiation spectrum spanning 300-2500 nm. The cosine collector can be oriented both upwards towards the sky and downward towards the snow and/or sea ice to measure the spectral signature of both the downwelling (from the sky) and upwelling (from the snow/ice) radiation. For each site, we record 5 upwelling and 5 downwelling spectral signatures. MATLAB or a similar analysis package is required to open the spectrum files that are created by the ASD. The ASD files are raw files and named in a sequence, starting with 'spectrum.000'. MATLAB or similar scripts can been written to convert the ASD spectrum data to .mat files. The spectra in the processed files are used to calculate the albedos for various snow and ice types when the ratio of upwelling to downwelling radiation is computed. We use two upwelling scans per one downwelling scan to compute the albedo. Also included is some photography of frost flowers and other examples of ice that was observed. proprietary
SIPEX_II_Albedo_1 Albedos for 300-2500nm for thin sea ice covered with frost flowers, nilas, snow, and slush collected during SIPEX II AU_AADC STAC Catalog 2012-09-14 2012-11-04 113, -66, 147, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214311265-AU_AADC.umm_json This dataset contains albedo data for several varieties of sea ice and snow from 300-2500 nm measured during the SIPEX II voyage (2012). An Analytical Spectral Device (ASD) spectrophotometer records the amount of radiation impingent on a cosine collector, which contains a spectralon diffuser plate. The radiation that hits the diffuser plate is scattered equally in all directions (isotropically). A portion of the radiation incident on the plate is scattered in the direction of a fiber optic cable, which is connected to the ASD. The ASD separates the incoming radiation into 3-10 nm wavelength bins, thus creating a radiation spectrum spanning 300-2500 nm. The cosine collector can be oriented both upwards towards the sky and downward towards the snow and/or sea ice to measure the spectral signature of both the downwelling (from the sky) and upwelling (from the snow/ice) radiation. For each site, we record 5 upwelling and 5 downwelling spectral signatures. MATLAB or a similar analysis package is required to open the spectrum files that are created by the ASD. The ASD files are raw files and named in a sequence, starting with 'spectrum.000'. MATLAB or similar scripts can been written to convert the ASD spectrum data to .mat files. The spectra in the processed files are used to calculate the albedos for various snow and ice types when the ratio of upwelling to downwelling radiation is computed. We use two upwelling scans per one downwelling scan to compute the albedo. Also included is some photography of frost flowers and other examples of ice that was observed. proprietary
+SIPEX_II_Albedo_1 Albedos for 300-2500nm for thin sea ice covered with frost flowers, nilas, snow, and slush collected during SIPEX II ALL STAC Catalog 2012-09-14 2012-11-04 113, -66, 147, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214311265-AU_AADC.umm_json This dataset contains albedo data for several varieties of sea ice and snow from 300-2500 nm measured during the SIPEX II voyage (2012). An Analytical Spectral Device (ASD) spectrophotometer records the amount of radiation impingent on a cosine collector, which contains a spectralon diffuser plate. The radiation that hits the diffuser plate is scattered equally in all directions (isotropically). A portion of the radiation incident on the plate is scattered in the direction of a fiber optic cable, which is connected to the ASD. The ASD separates the incoming radiation into 3-10 nm wavelength bins, thus creating a radiation spectrum spanning 300-2500 nm. The cosine collector can be oriented both upwards towards the sky and downward towards the snow and/or sea ice to measure the spectral signature of both the downwelling (from the sky) and upwelling (from the snow/ice) radiation. For each site, we record 5 upwelling and 5 downwelling spectral signatures. MATLAB or a similar analysis package is required to open the spectrum files that are created by the ASD. The ASD files are raw files and named in a sequence, starting with 'spectrum.000'. MATLAB or similar scripts can been written to convert the ASD spectrum data to .mat files. The spectra in the processed files are used to calculate the albedos for various snow and ice types when the ratio of upwelling to downwelling radiation is computed. We use two upwelling scans per one downwelling scan to compute the albedo. Also included is some photography of frost flowers and other examples of ice that was observed. proprietary
SIPEX_II_Boundary_Layer_Met_1 Boundary Layer Meteorology measurements collected from ice stations during the SIPEX II voyage of the Aurora Australis, 2012 AU_AADC STAC Catalog 2012-09-27 2012-10-21 118.3249, -65.2643, 121.0287, -64.392 https://cmr.earthdata.nasa.gov/search/concepts/C1214313769-AU_AADC.umm_json "Note - these data should be used with caution. The chief investigator for the dataset has indicated that a better quality dataset exists, but the AADC have been unable to attain it for archive. Matlab files containing raw data collected using the program ""HC2S3snowwind.CR1"" running on Campbell Scientific CR1000 dataloggers. Datalogger ""C"" was used during all ice stations. On the 8th of October a second mast and logger (""A"") were installed on what became the final day of Ice Station 4, and both loggers were deployed at stations 6 and 7, with ""C"" containing the longer records for each station as it was always installed first and (conditions permitting) left out longer. The sensors on these masts consist of: RM Young ""Wind Sentry"" Vane and Anemometer set (on top of each mast), no serial numbers Rotronics HC2S3 temperature and relative humidity sensors with standard polyethylene filters Upper sensor, mast ""C"": s/n 60837541 Lower sensor, mast ""C"": s/n 60837536 Upper sensor, mast ""A"": s/n 60837468 Lower sensor, mast ""A"": s/n 60834204 RM Young ""Wind Sentry"" anemometers (without vane) at 3 additional elevations on each mast Wenglor YHO3NCT8 photoelectric sensors at 4 heights on each mast. The upper sensor and the third sensor from the top were oriented facing up, while the others faced down. The upper three sensors were purchased in 2012, from a batch of these sensors manufactured in a new Eastern European factory while the lowest sensor on each mast came from a lot purchased in 2007, manufactured in Wenglor's German factory and extensively tested for use in snow. Data contained in these .mat files includes the following variables, with units: Textdates: CSI formatted dates, UTC except for station 2, which was (accidentally) UTC+12 Datenm: Matlab ""datenumber"", all UTC except for station 2, which is also UTC+12 hours. Battvolt: battery voltage Wptemp: temperature of the Wiring Panel thermister, degrees C Temp 1: air temperature above approximately 50cm, ventilated HC2S3 rotronics sensor, degrees C RH1: relative humidity (WRT water) above approximately 50cm, ventilated HC2S3 rotronics sensor, % Temp 2: air temperature above approximately 200cm, ventilated HC2S3 rotronics sensor, degrees C RH2: relative humidity (WRT water) above 197cm, ventilated HC2S3 rotronics sensor, % Snow1: snow particles per 10second interval at approximately 10cm Snow2: snow particles per 10second interval at approximately 50cm Snow3: snow particles per 10second interval at approximately 100cm Snow4: snow particles per 10second interval at approximately 200cm Wind1: average speed (m/s) at approximately 250cm during 10s interval Wind1max: maximum speed at approximately 250cm during 10s interval Wind2: average speed (m/s) at approximately 100cm during 10s interval Wind2max: maximum speed at approximately 100cm during 10s interval Wind3: average speed (m/s) at approximately 120cm during 10s interval Wind3max: maximum speed at approximately 120cm during 10s interval Wind4: average speed (m/s) at approximately 50cm during 10s interval Wind4max: maximum speed at approximately 50cm during 10s interval WindDir: wind direction at approximately 250cm, degrees, relative to mast orientation (needs correction to true) Measurement heights varied by ice station and by mast being used." proprietary
SIPEX_II_Buoys_1 In situ Lagrangian drifting buoy data off East Antarctica for the austral spring of 2012, deployed during the SIPEX II voyage of the Aurora Australis AU_AADC STAC Catalog 2012-09-01 2012-11-09 114.25781, -66, 121.64063, -63.84067 https://cmr.earthdata.nasa.gov/search/concepts/C2102891777-AU_AADC.umm_json In situ Lagrangian drifter positions were collected from nine expendable sea-ice buoys. Positions were collected by GPS receivers aboard each buoy and relayed via the CLS Argos satellite data system. The scientific proposal for this project was based on the deployment of two meso-scale buoy arrays over the continental shelf break in the SIPEX 2012 experimental region. Resolving of ice motion over the continental shelf and the shelf break is expected to provide crucial information on sea-ice deformation and ice strength. However, due to the unfavourable cruise track and also due to operational issues with helicopter support, it was not possible to deploy any of the meso-scale buoy arrays. Instead buoys were deployed to resolve ice deformation within the wider SIPEX 2012 region. Position data are available hourly from most buoys. CLS Argos transmitted data suffer from a data transmission blackspot just prior to local none, when there will be no data available. Data processing will be carried out as described in Heil et al. [2008] The dataset is build from ASCII files for each buoy with time stamps and observed latitude and longitude. The format (by column [C] for each file is as following: C1: Program ID C2: Buoy ID C3: Year C4: Month C5: Day C6: Hour C7: Minute C8: Second C9: Day-of-year C10: Lat (degN) C11: Lon (degE) proprietary
SIPEX_II_CO2_Flux_1 Atmospheric carbon dioxide (CO2) concentrations for CO2 flux AU_AADC STAC Catalog 2012-09-26 2012-10-22 118.65, -65.22, 120.19, -64.45 https://cmr.earthdata.nasa.gov/search/concepts/C1214311267-AU_AADC.umm_json During the ice stations, measurements of the air CO2, concentration for CO2 flux between sea ice and atmosphere were made with the chamber technique. Air-sea ice CO2 fluxes were measured over the sea ice with semi-automated chambers. Sample air from the chamber is passed through Teflon tubes connected to non-dispersive infrared (NDIR) analyzer (Model 800, LICOR Inc., USA) that was connected to a system controller and data logger (Model 10x, Campbell Scientific Inc., USA), that controls the opening/closing of the chambers as well. During the observation period, the CO2 flux was measured under three different conditions or surface types: (1) a chamber was installed above snow; (2) over the bare ice after removing the snow; (3) slush layer after removing the snow and slush crystals. The CO2 concentration in the chamber was measured every 5 s during experiments lasting 20 minutes for each chamber. A one hour cycle of measurements therefore consist of three 20 minute periods from each chamber (i.e. surface type). Data available: excel files containing sampling station name for each spreadsheet, dates, sampling time and air CO2 concentration as output voltage from NDIR (to indicated as ppm we need to calculate, but, not yet done this process) in the air and chamber for CO2 flux measurement. Also see the record - SIPEX_II_Gas_Flux proprietary
@@ -13780,8 +13782,8 @@ SIPEX_II_Stable_Isotopes_Sterols_1 Carbon isotopic signal of cholesterol and bra
SIPEX_II_Trajectories_1 Hysplit atmospheric back-trajectories at 10m, 500m, 1000m, 1500m, 2000m, 2500m, 3000m, 3500m, 4000m collected during the SIPEX II voyage of the Aurora Australis, 2012 AU_AADC STAC Catalog 2012-09-14 2012-11-05 119, -67, 150, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214313753-AU_AADC.umm_json The current data set contains: Hysplit back-trajectories and IDL reader Trajectories were launched from the SIPEX II ship location every hour at 10m, 500m, 1000m, 1500m, 2000m, 2500m, 3000m, 3500m, 4000m. Three different meteorological reanalyses datasets (ECMWF, GDAS and NCEP were used to generate these 10 day air parcel back-trajectories. proprietary
SIPEX_II_Transmissometer_1 Inorganic and organic particulate carbon, BGSi and transmissometer data collected during the SIPEX II voyage of the Aurora Australis, 2012 AU_AADC STAC Catalog 2012-09-14 2012-11-15 113, -66, 147, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214313754-AU_AADC.umm_json This dataset contains Ffilter samples of known volume of sea water for - PIC (Particulate Inorganic Carbon) - POC (Particulate Organic Carbon) - BGSi (BioGenic Silicon) The dataset also contains transmissometer data. The transmissometer is an attempt at developing a correlation between the PIC filter samples and the transmissometer readings. This is development of methods. The data collection times are logged in the file and filter log sheets. proprietary
SIPEX_IceSampling_1 Ice Coring Survey For Main Biological Site, cruise 2007/08 V1 (SIPEX) AU_AADC STAC Catalog 2007-09-11 2007-10-10 116.8167, -65.583, 128.1, -64.23 https://cmr.earthdata.nasa.gov/search/concepts/C1214311292-AU_AADC.umm_json "Ice samples were collected by means of ice coring with 9 and 13 cm diameter ice corers on a total of 15 stations in the 115-130 degrees E sector off East Antarctica in September and early October 2007 during the Sea Ice Physics and Ecosystem eXperiment (SIPEX). Ice temperature profiles were recorded for one core at each station. Ice cores were cut into 10 cm sections and analysed for ice texture, delta 18O composition, inorganic nutrients (phosphate, silicate, nitrate, nitrite, ammonium), dissolved organic carbon/nitrogen, absorbance spectra of coloured dissolved organic matter (CDOM), particulate organic carbon/nitrogen, persistent organic pollutants (POP), chlorophyll a and pheopigment concentration, photosynthetic parameters measured with a Fast Rate Repetition Fluorometer (FRRF) and a Pulse Amplitude Modulated Fluorometer (PAM) as well as algal species composition and biomass and species composition and biomass estimates of ice-associated metazoans. Ice texture analysis from ice cores taken at the ""biology main site"" was carried out onboard. On the main sites we collected in total 11.8 m of ice cores for textural, salinity and O18 analysis. 28 % of the collected ice was congelation ice while the remaining was largely frazil ice (except for some possible snow ice layers that will be detected later using O18 data). Bulk salinity of the ice cores (n=13) ranged from 4.1 to 9.4, with an average of 6.1. A second, trace metal clean, coring site, was sampled for iron-biogeochemical work." proprietary
-SIPEX_LiDAR_sea_ice_1 Airborne scanning LiDAR of sea ice during SIPEX in 2007 AU_AADC STAC Catalog 2007-09-12 2007-10-08 110, -66, 130, -62 https://cmr.earthdata.nasa.gov/search/concepts/C1214313756-AU_AADC.umm_json This data set is the airborne scanning LiDAR of a suite of different instruments deployed during the Sea Ice Physics and Ecosystems eXperiment (SIPEX) in 2007. Surveys have been flown over sea ice between 110-130 degrees E as part of the Australian Antarctic science project 2901. Public Summary for project 2901 This research will contribute to a large multi-disciplinary study of the physics and biology of the Antarctic sea ice zone in early Spring 2007. The physical characteristics of the sea ice will be directly measured using satellite-tracked drifting buoys, ice core analysis and drilled measurements, with detailed measurements of snow cover thickness and properties. Aircraft-based instrumentation will be used to expand our survey area beyond the ship's track and for remote sampling. The data collected will provide valuable ground-truthing for existing and future satellite missions and improve our understanding of the role of sea ice in the climate system. Project objectives: (i) to quantify the spatial variability in sea ice and snow cover properties over scales of metres to hundreds of kilometres in the region of 110-130 degrees E, in order to improve the accuracy of sea ice thickness estimates from satellite altimetry and polarimetric synthetic aperture radar (SAR) data. (ii) To determine the drift characteristics, and internal stress, of sea ice in the region 110-130 degrees E. (iii) To investigate the relationships between the physical sea ice environment and the structure of Southern Ocean ecosystems (joint with AAS Proposal 2767). proprietary
SIPEX_LiDAR_sea_ice_1 Airborne scanning LiDAR of sea ice during SIPEX in 2007 ALL STAC Catalog 2007-09-12 2007-10-08 110, -66, 130, -62 https://cmr.earthdata.nasa.gov/search/concepts/C1214313756-AU_AADC.umm_json This data set is the airborne scanning LiDAR of a suite of different instruments deployed during the Sea Ice Physics and Ecosystems eXperiment (SIPEX) in 2007. Surveys have been flown over sea ice between 110-130 degrees E as part of the Australian Antarctic science project 2901. Public Summary for project 2901 This research will contribute to a large multi-disciplinary study of the physics and biology of the Antarctic sea ice zone in early Spring 2007. The physical characteristics of the sea ice will be directly measured using satellite-tracked drifting buoys, ice core analysis and drilled measurements, with detailed measurements of snow cover thickness and properties. Aircraft-based instrumentation will be used to expand our survey area beyond the ship's track and for remote sampling. The data collected will provide valuable ground-truthing for existing and future satellite missions and improve our understanding of the role of sea ice in the climate system. Project objectives: (i) to quantify the spatial variability in sea ice and snow cover properties over scales of metres to hundreds of kilometres in the region of 110-130 degrees E, in order to improve the accuracy of sea ice thickness estimates from satellite altimetry and polarimetric synthetic aperture radar (SAR) data. (ii) To determine the drift characteristics, and internal stress, of sea ice in the region 110-130 degrees E. (iii) To investigate the relationships between the physical sea ice environment and the structure of Southern Ocean ecosystems (joint with AAS Proposal 2767). proprietary
+SIPEX_LiDAR_sea_ice_1 Airborne scanning LiDAR of sea ice during SIPEX in 2007 AU_AADC STAC Catalog 2007-09-12 2007-10-08 110, -66, 130, -62 https://cmr.earthdata.nasa.gov/search/concepts/C1214313756-AU_AADC.umm_json This data set is the airborne scanning LiDAR of a suite of different instruments deployed during the Sea Ice Physics and Ecosystems eXperiment (SIPEX) in 2007. Surveys have been flown over sea ice between 110-130 degrees E as part of the Australian Antarctic science project 2901. Public Summary for project 2901 This research will contribute to a large multi-disciplinary study of the physics and biology of the Antarctic sea ice zone in early Spring 2007. The physical characteristics of the sea ice will be directly measured using satellite-tracked drifting buoys, ice core analysis and drilled measurements, with detailed measurements of snow cover thickness and properties. Aircraft-based instrumentation will be used to expand our survey area beyond the ship's track and for remote sampling. The data collected will provide valuable ground-truthing for existing and future satellite missions and improve our understanding of the role of sea ice in the climate system. Project objectives: (i) to quantify the spatial variability in sea ice and snow cover properties over scales of metres to hundreds of kilometres in the region of 110-130 degrees E, in order to improve the accuracy of sea ice thickness estimates from satellite altimetry and polarimetric synthetic aperture radar (SAR) data. (ii) To determine the drift characteristics, and internal stress, of sea ice in the region 110-130 degrees E. (iii) To investigate the relationships between the physical sea ice environment and the structure of Southern Ocean ecosystems (joint with AAS Proposal 2767). proprietary
SIPEX_Ocean_1 Aurora Australis Southern Ocean oceanographic (CTD) data, cruise 2007/08 V1 (SIPEX) AU_AADC STAC Catalog 2007-09-12 2007-10-10 116.8, -65.58, 128.1, -64.68 https://cmr.earthdata.nasa.gov/search/concepts/C1214313790-AU_AADC.umm_json We report on the late winter oceanography observed beneath Antarctic sea ice offshore from the Sabrina and BANZARE coast of Wilkes Land, East Antarctica (115- 125 E) in September-October 2007 during the Sea Ice Physics and Ecosystem eXperiment (SIPEX) research voyage. A pilot program using specifically designed 'through-ice' Conductivity-Temperature-Depth (CTD) and acoustic Doppler current profiling (ADCP) systems was conducted to opportunistically measure water mass properties and ocean currents during major ice stations. This project involved two independent sub-ice observation platforms: A winch-driven Conductivity-Temperature-Depth system for measuring basic water mass properties and an acoustic Doppler current profiling (ADCP)/GPS system for measuring ocean currents and ice drift. Hereafter these are referred to as the CTD and ADCP systems respectively. The CTD system comprised of an Falmouth Scientific Institute (FSI) CTD instrument, a tripod and over 1000m of polyethylene rope on a winch/drum attached to a metal sled. proprietary
SIPEX_krill_1 Krill Growth and Condition Investigation, cruise 2007/08 V1 (SIPEX) AU_AADC STAC Catalog 2007-09-11 2007-10-10 116.8167, -65.583, 128.1, -64.23 https://cmr.earthdata.nasa.gov/search/concepts/C1214311271-AU_AADC.umm_json This work was completed as part of the SIPEX - Sea Ice Physics and Ecosystem eXperiment - voyage. September/October 2007. The work formed part of AAS (ASAC) projects 2337 and 2767. Aspects of krill (Euphausia superba), growth and condition during late winter-early spring off East Antarctica (110 - 130 degrees E) were investigated. We assessed diet and condition of larval and postlarval krill collected from open water and below the ice. Condition was assessed using lipid content, growth rates and digestive gland size; feeding history was assessed using fatty acid profiles and stomach content analysis; and a starvation study investigated the response of krill to long-term food deprivation. Potential food items were analysed for lipid and fatty acid composition. Fatty acid profiles and stomach content analysis revealed winter/early spring feeding strategies of both larval and adult krill. This work was completed as part of AAS (ASAC) project #2337 proprietary
SIR-C_PRECISION Spaceborne Imaging Radar-C Precision USGS_LTA STAC Catalog 1994-04-09 1994-10-11 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C1220565907-USGS_LTA.umm_json Spaceborne Imaging Radar-C/X-band Synthetic Aperture Radar (SIR-C/X-SAR) is a joint project of the National Aeronautics and Space Administration (NASA), the German Space Agency, Deutsche Agentur fur Raumfahrtangfelegenheiten (DARA), and the Italian Space Agency, Agenzia Spaziale Italiana (ASI). An imaging radar system launched aboard the NASA Space Shuttle twice in 1994, SIR-C/X-SAR's unique contributions to Earth observation and monitoring are its capability to measure, from space, the radar signature of the surface at three different wavelengths and to make measurements for different polarizations at two of those wavelengths. The SIR-C image data help scientists understand the physics behind some of the phenomena seen in radar images at just one wavelength/polarization, such as those produced by SeaSAT. Investigators on the SIR-C/X-SAR Science team use the radar image data to make measurements of vegetation type, extent and deforestation, soil moisture content, ocean dynamics, wave and surface wind speeds and directions, volcanism and tectonic activity, and soil erosion and desertification. The SIR-C provides multi-frequency, multi-polarization radar data.The SIR-C instrument is composed of several subsystems: an antenna array, a transmitter, receivers, a data-handling subsystem, and a ground SAR processor. The data are processed into images with selectable resolution from 10 to 200 meters. The width of the area mapped by the radar varies from 15 to 90 kilometers, depending on how the radar is operated and on the direction in which the antenna beams are pointing. Data from SIR-C/X-SAR are used to develop automatic techniques for extracting information from radar image data. proprietary
@@ -13833,16 +13835,16 @@ SMAP_RSS_L3_SSS_SMI_MONTHLY_V5.3_5.3 RSS SMAP Level 3 Sea Surface Salinity Stand
SMAP_RSS_L3_SSS_SMI_MONTHLY_V5_5.0 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V5.0 Validated Dataset POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208416221-POCLOUD.umm_json The version 5.0 SMAP-SSS level 3, monthly gridded product is based on the fourth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS) with a one-month latency. The major changes in Version 5.0 from Version 4 are: (1) the addition of formal uncertainty estimates to all salinity retrieval products. (2) Sea-ice flagging and sea-ice side-lobe correction based on direct ingestion of AMSR-2 brightness temperature (TB) measurements. This is in contrast to Version 4 and earlier versions in which the sea-ice correction was based on an external sea-ice concentration product. The use of AMSR-2 TB measurements in the SMAP Version 5 products allows for salinity retrievals closer to the sea-ice edge and aids in the detection of large icebergs near the Antarctic. Monthly data files for this product are averages over one-month time intervals. SMAP data begins on April 1,2015 and is ongoing, with a one-month latency in processing and availability. L3 products are global in extent with a default spatial resolution of approximately 70KM. The datasets are gridded at 0.25degree x 0.25degree. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval. proprietary
SMAP_RSS_L3_SSS_SMI_MONTHLY_V6_6.0 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V6.0 Validated Dataset POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2832226365-POCLOUD.umm_json The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V6.0 Validated Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The major changes in Version 6.0 from Version 5.0 are: (1) Removal of biases during the first few months of the SMAP mission that are related to the operation of the SMAP radar during that time. (2) Mitigation of biases that depend on the SMAP look angle. (3) Mitigation of salty biases at high Northern latitudes. (4) Revised sun-glint flag. The RSS SMAP L3 monthly product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, rain filtered SMAP sea surface salinity, collocated wind speed, data and ancillary reference surface salinity data from HYCOM. Each data file is available in netCDF-4 file format and is averaged over one-month time intervals with about 7-day latency (after the end of the averaging period). Data begins on April 1,2015 and is ongoing. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 6.0 release is the smoothed salinity product with a spatial resolution of approximately 70 km. proprietary
SMERGE_RZSM0_40CM_2.0 Smerge-Noah-CCI root zone soil moisture 0-40 cm L4 daily 0.125 x 0.125 degree V2.0 (SMERGE_RZSM0_40CM) at GES DISC GES_DISC STAC Catalog 1979-01-02 2019-05-10 -125, 25, -67, 53 https://cmr.earthdata.nasa.gov/search/concepts/C1569839798-GES_DISC.umm_json Smerge-Noah-CCI root zone soil moisture 0-40 cm L4 daily 0.125 x 0.125 degree V2.0 is a multi-decadal root-zone soil moisture product. Smerge is developed by merging the North American Land Data Assimilation System (NLDAS) land surface model output with surface satellite retrievals from the European Space Agency Climate Change Initiative. The data have a 0.125 degree resolution at a daily time-step, covering the entire continental United States and spanning nearly four decades (January 1979 to May 2019). This data product contains root-zone soil moisture of 0 - 40 cm layer, Climate Change Initiative (CCI) derived soil moisture anomalies of 0-40 cm layer, and a soil moisture data estimation flag. This data product is the recommended replacement for the AMSR-E/Aqua root zone soil moisture L3 1 day 25 km x 25 km descending and 2-Layer Palmer Water Balance Model V001 product (LPRM_AMSRE_D_RZSM3), which will be removed from archive on June 27, 2022. Smerge provides a better root zone soil moisture estimation because it has higher data quality and longer temporal coverage. proprietary
-SMHI_IPY_ACEX-2004-ODEN-TRACK_1.0 ACEX 2004 ODEN TRACK SCIOPS STAC Catalog 2004-08-08 2004-09-13 19.045, 69.727, 175.94, 89.999 https://cmr.earthdata.nasa.gov/search/concepts/C1214595274-SCIOPS.umm_json Icebreaker Oden\\\\\\\\\\\\\\\'s trackline during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
SMHI_IPY_ACEX-2004-ODEN-TRACK_1.0 ACEX 2004 ODEN TRACK ALL STAC Catalog 2004-08-08 2004-09-13 19.045, 69.727, 175.94, 89.999 https://cmr.earthdata.nasa.gov/search/concepts/C1214595274-SCIOPS.umm_json Icebreaker Oden\\\\\\\\\\\\\\\'s trackline during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
-SMHI_IPY_ACEX-2004-Seismic ACEX 2004 Seismic SCIOPS STAC Catalog 2004-08-08 2004-09-13 139.0632, 87.917, 140.31, 87.977 https://cmr.earthdata.nasa.gov/search/concepts/C1214595276-SCIOPS.umm_json Reflection seismic profiles aquired during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
+SMHI_IPY_ACEX-2004-ODEN-TRACK_1.0 ACEX 2004 ODEN TRACK SCIOPS STAC Catalog 2004-08-08 2004-09-13 19.045, 69.727, 175.94, 89.999 https://cmr.earthdata.nasa.gov/search/concepts/C1214595274-SCIOPS.umm_json Icebreaker Oden\\\\\\\\\\\\\\\'s trackline during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
SMHI_IPY_ACEX-2004-Seismic ACEX 2004 Seismic ALL STAC Catalog 2004-08-08 2004-09-13 139.0632, 87.917, 140.31, 87.977 https://cmr.earthdata.nasa.gov/search/concepts/C1214595276-SCIOPS.umm_json Reflection seismic profiles aquired during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
+SMHI_IPY_ACEX-2004-Seismic ACEX 2004 Seismic SCIOPS STAC Catalog 2004-08-08 2004-09-13 139.0632, 87.917, 140.31, 87.977 https://cmr.earthdata.nasa.gov/search/concepts/C1214595276-SCIOPS.umm_json Reflection seismic profiles aquired during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
SMHI_IPY_ACEX-2004-Sites_1.0 ACEX 2004 Sites SCIOPS STAC Catalog 2004-08-08 2004-09-13 -4.05029, 69.727, 19.045, 89.999 https://cmr.earthdata.nasa.gov/search/concepts/C1214595252-SCIOPS.umm_json The site location for the cores retrieved during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
SMHI_IPY_ACEX-2004-Sites_1.0 ACEX 2004 Sites ALL STAC Catalog 2004-08-08 2004-09-13 -4.05029, 69.727, 19.045, 89.999 https://cmr.earthdata.nasa.gov/search/concepts/C1214595252-SCIOPS.umm_json The site location for the cores retrieved during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
-SMHI_IPY_AGAVE2007-track_1.0 AGAVE2007 track SCIOPS STAC Catalog 2007-07-01 2007-08-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214595299-SCIOPS.umm_json Icebreaker Oden\\\\\\\\\\\\\\\'s trackline during the Arctic Gakkel Vents Expedition (AGAVE) 2007. proprietary
SMHI_IPY_AGAVE2007-track_1.0 AGAVE2007 track ALL STAC Catalog 2007-07-01 2007-08-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214595299-SCIOPS.umm_json Icebreaker Oden\\\\\\\\\\\\\\\'s trackline during the Arctic Gakkel Vents Expedition (AGAVE) 2007. proprietary
-SMHI_IPY_ALIS ALIS, Auroral Large Imaging System ALL STAC Catalog 1993-12-23 2009-02-18 18.8, 67.3, 21.7, 69.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214595251-SCIOPS.umm_json ALIS consists of unmanned imaging stations located in Northern Scandinavia in a grid of about 50Ã50 km. Each station is equipped with an imager having a high-resolution monochrome 1024Ã1024 pixel CCD detector and a filter wheel with six positions for narrow-band interference filters. The field of view is 70 degrees diagonally for most imagers, but there are also two units with a 90 degrees field of view. The imagers are mounted in a positioning system and can be pointed so that several imagers can view a common volume. ALIS is operated on campaign basis. Filter sequences and pointing directions are freely selectable. proprietary
+SMHI_IPY_AGAVE2007-track_1.0 AGAVE2007 track SCIOPS STAC Catalog 2007-07-01 2007-08-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214595299-SCIOPS.umm_json Icebreaker Oden\\\\\\\\\\\\\\\'s trackline during the Arctic Gakkel Vents Expedition (AGAVE) 2007. proprietary
SMHI_IPY_ALIS ALIS, Auroral Large Imaging System SCIOPS STAC Catalog 1993-12-23 2009-02-18 18.8, 67.3, 21.7, 69.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214595251-SCIOPS.umm_json ALIS consists of unmanned imaging stations located in Northern Scandinavia in a grid of about 50Ã50 km. Each station is equipped with an imager having a high-resolution monochrome 1024Ã1024 pixel CCD detector and a filter wheel with six positions for narrow-band interference filters. The field of view is 70 degrees diagonally for most imagers, but there are also two units with a 90 degrees field of view. The imagers are mounted in a positioning system and can be pointed so that several imagers can view a common volume. ALIS is operated on campaign basis. Filter sequences and pointing directions are freely selectable. proprietary
+SMHI_IPY_ALIS ALIS, Auroral Large Imaging System ALL STAC Catalog 1993-12-23 2009-02-18 18.8, 67.3, 21.7, 69.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214595251-SCIOPS.umm_json ALIS consists of unmanned imaging stations located in Northern Scandinavia in a grid of about 50Ã50 km. Each station is equipped with an imager having a high-resolution monochrome 1024Ã1024 pixel CCD detector and a filter wheel with six positions for narrow-band interference filters. The field of view is 70 degrees diagonally for most imagers, but there are also two units with a 90 degrees field of view. The imagers are mounted in a positioning system and can be pointed so that several imagers can view a common volume. ALIS is operated on campaign basis. Filter sequences and pointing directions are freely selectable. proprietary
SMMRN7IM_001 SMMR/Nimbus-7 Color Images V001 (SMMRN7IM) at GES DISC GES_DISC STAC Catalog 1978-10-30 1983-11-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1616514843-GES_DISC.umm_json "SMMRN7IM is the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) Color Image data product scanned from 17"" x 15"" color prints and saved as JPEG-2000 files. Sea surface temperature, sea surface winds, total atmospheric water vapor over oceans, total atmospheric liquid water over oceans, including brightness temperature parameters are available as both 6-day composites and 1-month averages between 64 south and north latitudes in Mercator projection. Sea ice fraction, sea ice and ocean surface temperature, sea ice concentration, including brightness temperature parameters are available as both 3-day and 1-month averages in north and south polar stereographic projections. Images may contain between one and three measured parameters. These SMMR images are available from 30 October 1978 through 2 November 1983. The principal investigator for the SMMR experiment was Dr. Per Gloersen from NASA GSFC. These products were previously available from the NSSDC under the ids ESAD-00007, ESAD-00056, ESAD-00123, ESAD-00124, ESAD-00162, ESAD-00172, ESAD-00173, ESAD-00176 ESAD-00177, ESAD-00178, and ESAD-00241 (old ids 78-098A-08I-S)." proprietary
SMMR_ALW_PRABHAKARA_1 Scanning Multichannel Microwave Radiometer (SMMR) Monthly Mean Atmospheric Liquid Water (ALW) By Prabhakara LARC_ASDC STAC Catalog 1979-02-01 1984-05-31 180, -48, -180, 48 https://cmr.earthdata.nasa.gov/search/concepts/C1336972900-LARC_ASDC.umm_json SMMR_ALW_PRABHAKARA data are Special Multichannel Microwave Radiometer (SMMR) Monthly Mean Atmospheric Liquid Water (ALW) data by Prabhakara.The Prabhakara Scanning Multichannel Microwave Radiometer (SMMR) Atmospheric Liquid Water (ALW) files were generated by Dr. Prabhakara Cuddapah at the Goddard Space Flight Center (GSFC) using SMMR Antenna Temperatures. A discussion of the SMMR Antenna Temperatures is available from the Langley Distributed Active Archive Center (DAAC). Each ALW file contains one month of 3 degree by 5 degree gridded mean liquid water. Each element of data is in units of mg/cm2. The data spans the period from February 1979 to May 1984. proprietary
SMMR_IWV_PRABHAKARA_1 Scanning Multichannel Microwave Radiometer (SMMR) Monthly Mean Integrated Water Vapor (IWV) By Prabhakara LARC_ASDC STAC Catalog 1979-01-01 1983-09-30 -180, -75, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1336972882-LARC_ASDC.umm_json SMMR_IWV_PRABHAKARA data are Special Multichannel Microwave Radiometer (SMMR) Monthly Mean Integrated Water Vapor (IWV) data by Prabhakara.The Scanning Multichannel Microwave Radiometer (SMMR) Prabhakara integrated atmospheric water vapor (IWV) files were generated by Dr. Prabhakara Cuddapah at the Goddard Space Flight Center (GSFC) using SMMR Antenna Temperatures. A discussion of the SMMR Antenna Temperatures is available from the Langley Research Center Distributed Active Archive Center (DAAC). Each IWV file contains one month of 3 degree by 5 degree gridded mean water vapor. A scale factor of 0.1 must be applied to convert the data into units of g/cm2. The data spans the period from October 1979 to September 1983. proprietary
@@ -14098,8 +14100,8 @@ SNF_SITE_86_188_1 SNF Site Characterization Validation ORNL_CLOUD STAC Catalog 1
SNF_TAB3_3T_182_1 SNF Forest Understory Cover Data (Table) ORNL_CLOUD STAC Catalog 1976-01-01 1986-12-31 -92.51, 47.66, -91.77, 48.17 https://cmr.earthdata.nasa.gov/search/concepts/C2884983060-ORNL_CLOUD.umm_json SNF study location measurements of percent ground coverage provided by each understory species; percentages are averages of five 2-meter-diameter subsamples in each site (presented in table format) proprietary
SNF_UND_CVR_181_1 SNF Forest Understory Cover Data ORNL_CLOUD STAC Catalog 1976-01-01 1986-12-31 -92.51, 47.66, -91.77, 48.17 https://cmr.earthdata.nasa.gov/search/concepts/C2884982848-ORNL_CLOUD.umm_json SNF study location measurements of percent ground coverage provided by each understory species; percentages are averages of five 2-meter-diameter subsamples in each site (presented as list format) proprietary
SNOWPETRELSURVEYSCASEY0203_1 Detailed information on 196 grid sites used for snow petrel surveys in the Windmill Islands during the 2002/2003 season AU_AADC STAC Catalog 2002-11-12 2003-02-16 110.3, -66.5, 110.75, -66.2333 https://cmr.earthdata.nasa.gov/search/concepts/C1214313758-AU_AADC.umm_json Very little information is known about the distribution and abundance of snow petrels at the regional scale. This dataset contains locations of grid sites used to survey for snow petrels in the Windmill Islands during the 2002-2003 season. Descriptive information relating to each grid site was recorded and a detailed description of data fields is provided in the attached dataset. Survey methodology used 200*200 m grid squares in which exhaustive searches were conducted (FO). Search effort for these is provided in the dataset. The fields in this dataset are: Site Nest Region Date Time Ice free area UTM Coordinates proprietary
-SNPEMAWSON04-05_1 A GIS dataset of Snow Petrel nests mapped in the Mawson region during the 2004-2005 season AU_AADC STAC Catalog 2004-12-10 2005-04-25 62.25, -67.6, 63.5, -67.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214313800-AU_AADC.umm_json Very little information is known about the distribution and abundance of Snow petrels at the regional and local scales. This dataset contains the locations of Snow petrel nests, mapped in the Mawson region during the 2004-2005 season. Location of nests were recorded with handheld Trimble Geoexplorer GPS receivers, differentially corrected and stored as an Arcview point shapefile (ESRI software). Descriptive information relating to each bird nest was recorded and a detailed description of the data fields is provided in the description of the shapefile (word document). A text file also provides the attribute information (formatted for input into R statistical software). This work has been completed as part of ASAC project 2704 (ASAC_2704). Fields recorded. Species Activity Type Entrances Slope Remnants Latitude Longitude Date Snow Eggchick Cavitysize Cavitydepth Distnn Substrate Comments SitedotID Aspect Firstfred proprietary
SNPEMAWSON04-05_1 A GIS dataset of Snow Petrel nests mapped in the Mawson region during the 2004-2005 season ALL STAC Catalog 2004-12-10 2005-04-25 62.25, -67.6, 63.5, -67.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214313800-AU_AADC.umm_json Very little information is known about the distribution and abundance of Snow petrels at the regional and local scales. This dataset contains the locations of Snow petrel nests, mapped in the Mawson region during the 2004-2005 season. Location of nests were recorded with handheld Trimble Geoexplorer GPS receivers, differentially corrected and stored as an Arcview point shapefile (ESRI software). Descriptive information relating to each bird nest was recorded and a detailed description of the data fields is provided in the description of the shapefile (word document). A text file also provides the attribute information (formatted for input into R statistical software). This work has been completed as part of ASAC project 2704 (ASAC_2704). Fields recorded. Species Activity Type Entrances Slope Remnants Latitude Longitude Date Snow Eggchick Cavitysize Cavitydepth Distnn Substrate Comments SitedotID Aspect Firstfred proprietary
+SNPEMAWSON04-05_1 A GIS dataset of Snow Petrel nests mapped in the Mawson region during the 2004-2005 season AU_AADC STAC Catalog 2004-12-10 2005-04-25 62.25, -67.6, 63.5, -67.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214313800-AU_AADC.umm_json Very little information is known about the distribution and abundance of Snow petrels at the regional and local scales. This dataset contains the locations of Snow petrel nests, mapped in the Mawson region during the 2004-2005 season. Location of nests were recorded with handheld Trimble Geoexplorer GPS receivers, differentially corrected and stored as an Arcview point shapefile (ESRI software). Descriptive information relating to each bird nest was recorded and a detailed description of the data fields is provided in the description of the shapefile (word document). A text file also provides the attribute information (formatted for input into R statistical software). This work has been completed as part of ASAC project 2704 (ASAC_2704). Fields recorded. Species Activity Type Entrances Slope Remnants Latitude Longitude Date Snow Eggchick Cavitysize Cavitydepth Distnn Substrate Comments SitedotID Aspect Firstfred proprietary
SNPPATMSL1B_2 Suomi NPP ATMS Sounder Science Investigator-led Processing System (SIPS) Level 1B Brightness Temperature V2 (SNPPATMSL1B) at GES DISC GES_DISC STAC Catalog 2011-12-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1442068516-GES_DISC.umm_json The Advanced Technology Microwave Sounder (ATMS) Level 1B data files contain brightness temperature measurements along with ancillary spacecraft, instrument, and geolocation data of the ATMS instrument on the Suomi National Polar-orbiting Partnership Project (SNPP). The ATMS instrument is a cross-track scanner with 22 microwave channels in the range 23.8-183.31 Gigahertz (GHz). The beam width is 1.1 degrees for the channels in the 160-183 GHz range, 2.2 degrees for the 80 GHz and 50-60 GHz channels, and 5.2 degrees for the 23.8 and 31.4 GHz channels. Since the SNPP satellite is orbiting at an altitude of about 830 km, the instantaneous spatial resolution on the ground at nadir is about 16 km, 32 km, or 75 km depending upon the channel. The brightness temperature data are contained in an array with 135 rows in the along-track direction, 96 columns in the cross-track direction, and a 3rd dimension for each of the 22 channels. The ATMS cross-track scan interval is 0.018 seconds and the along-track scan period is 8/3 seconds. Data products are constructed on six minute boundaries. The ATMS (Advanced Technology Microwave Sounder) and CrIS (Crosstrack InfraRed Sounder) instruments are meant to operate together as a system, thus providing coverage of a much broader range of atmospheric conditions. The ATMS-CrIS system is referred to as CrIMSS (Cross-Track Infrared and Microwave Sounder Suite). If you were redirected to this page from a DOI from an older version, please note this is the current version of the product. Please contact the GES DISC user support if you need information about previous data collections. proprietary
SNPPATMSL1B_3 Suomi NPP ATMS Sounder Science Investigator-led Processing System (SIPS) Level 1B Brightness Temperature V3 (SNPPATMSL1B) at GES DISC GES_DISC STAC Catalog 2011-12-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1952167462-GES_DISC.umm_json The Advanced Technology Microwave Sounder (ATMS) Level 1B data files contain brightness temperature measurements along with ancillary spacecraft, instrument, and geolocation data of the ATMS instrument on the Suomi National Polar-orbiting Partnership Project (SNPP). The ATMS instrument is a cross-track scanner with 22 microwave channels in the range 23.8-183.31 Gigahertz (GHz). The beam width is 1.1 degrees for the channels in the 160-183 GHz range, 2.2 degrees for the 80 GHz and 50-60 GHz channels, and 5.2 degrees for the 23.8 and 31.4 GHz channels. Since the SNPP satellite is orbiting at an altitude of about 830 km, the instantaneous spatial resolution on the ground at nadir is about 16 km, 32 km, or 75 km depending upon the channel. The brightness temperature data are contained in an array with 135 rows in the along-track direction, 96 columns in the cross-track direction, and a 3rd dimension for each of the 22 channels. The ATMS cross-track scan interval is 0.018 seconds and the along-track scan period is 8/3 seconds. Data products are constructed on six minute boundaries. The ATMS (Advanced Technology Microwave Sounder) and CrIS (Crosstrack InfraRed Sounder) instruments are meant to operate together as a system, thus providing coverage of a much broader range of atmospheric conditions. The ATMS-CrIS system is referred to as CrIMSS (Cross-Track Infrared and Microwave Sounder Suite). If you were redirected to this page from a DOI from an older version, please note this is the current version of the product. Please contact the GES DISC user support if you need information about previous data collections. proprietary
SNPPCrISL1BNSR_2 Suomi NPP CrIS Level 1B Normal Spectral Resolution V2 (SNPPCrISL1BNSR) at GES DISC GES_DISC STAC Catalog 2012-01-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1442068519-GES_DISC.umm_json The Cross-track Infrared Sounder (CrIS) Level 1B Normal Spectral Resolution (NSR) data files contain radiance measurements along with ancillary spacecraft, instrument, and geolocation data of the CrIS instrument on the Suomi National Polar-orbiting Partnership Project (SNPP). In December 2014, the CrIS instrument on the SNPP satellite doubled the spectral resolution of shortwave infrared data being transmitted to the ground. In November 2015, additional points were included at the ends of the longwave and shortwave interferograms to improve the quality of the calibration. Prior to November 2, 2015 the data are only available in Normal Spectral Resolution, after November 2, 2015 at 16:06 UTC, the data are available in both NSR and Full Spectral Resolution (FSR). The NSR files have 1,317 channels: 163 shortwave channels from 3.9 to 4.7 microns (2555 to 2150 cm-1), 437 midwave channels from 5.7 to 8.05 microns (1752.5 to 1242.5 cm-1), and 717 longwave channels from 9.1 to 15.41 microns (1096.25 to 648.75 cm-1). Each CrIS field-of-regard (FOR) contains 9 field-of-views (FOVs) arranged in a 3X3 array. The Level 1B files contain 30 FORs in the cross track direction and 45 in the along track direction. Data products are constructed on six minute boundaries. CrIS is designed to be used with the ATMS (Advanced Technology Microwave Sounder) instrument. Processing the data from both of these instruments together is referred to as CrIMSS (Cross-Track Infrared and Microwave Sounder Suite). If you were redirected to this page from a DOI from an older version, please note this is the current version of the product. Please contact the GES DISC user support if you need information about previous data collections. proprietary
@@ -14109,8 +14111,8 @@ SNPPCrISL1B_3 Suomi NPP CrIS Level 1B Full Spectral Resolution V3 (SNPPCrISL1B)
SNPP_CrIS_VIIRS750m_IND_1 SNPP CrIS-VIIRS 750-m Matchup Indexes V1 (SNPP_CrIS_VIIRS750m_IND) at GES_DISC GES_DISC STAC Catalog 2015-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2278117672-GES_DISC.umm_json This dataset includes SNPP VIIRS-CrIS collocation index product, within the framework of the Multidecadal Satellite Record of Water Vapor, Temperature, and Clouds (PI: Eric Fetzer) funded by NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, 2017. The dataset is built upon work by Wang et al. (doi: 10.3390/rs8010076) and Yue (doi:10.5194/amt-15-2099-2022). The short name for this collections is SNPP_CrIS_VIIRS750m_IND proprietary
SOAR1999WMB Aerogeophysical survey of western Marie Byrd Land, Antarctica SCIOPS STAC Catalog 1970-01-01 -158, -80.5, -136, -75.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214611929-SCIOPS.umm_json An aerogeophysical survey of the western Marie Byrd Land region of Antarctica was flown in Dec. 1998-Jan. 1999, measuring surface and base of ice elevation by radar and strength of magnetic and gravity fields. The coverage area measured about 460 by 360 km, long dimension oriented NE, and included the Shirase Coast of the eastern Ross Ice Shelf, much of the Edward VII Peninsula, the Sulzberger Ice Shelf, and the Ford Ranges. Track spacing was either 5.3 or 10.6 km over most of the area. The 60 Mhz radar system usually provided good images of the base of the ice for thicknesses less than 1 km but rarely imaged thicknesses greater than 1.5 km. Determination of gravity anomalies required corrections for acceleration of the aircraft as measured by differential carrier-phase GPS navigation, filtering to remove wavelengths less than 10 km, which are commonly contaminated by aircraft motion, and editing of occasional spikes. The gravity anomalies allow estimation of bed topography under floating ice and under ice too thick for radar imaging. Magnetic anomaly reduction includes a correction for daily variation as measured at the base camp. Data formats for all observations include files for original flight profiles and grids of edited data at 1.06 km node spacing. proprietary
SOAR1999WMB Aerogeophysical survey of western Marie Byrd Land, Antarctica ALL STAC Catalog 1970-01-01 -158, -80.5, -136, -75.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214611929-SCIOPS.umm_json An aerogeophysical survey of the western Marie Byrd Land region of Antarctica was flown in Dec. 1998-Jan. 1999, measuring surface and base of ice elevation by radar and strength of magnetic and gravity fields. The coverage area measured about 460 by 360 km, long dimension oriented NE, and included the Shirase Coast of the eastern Ross Ice Shelf, much of the Edward VII Peninsula, the Sulzberger Ice Shelf, and the Ford Ranges. Track spacing was either 5.3 or 10.6 km over most of the area. The 60 Mhz radar system usually provided good images of the base of the ice for thicknesses less than 1 km but rarely imaged thicknesses greater than 1.5 km. Determination of gravity anomalies required corrections for acceleration of the aircraft as measured by differential carrier-phase GPS navigation, filtering to remove wavelengths less than 10 km, which are commonly contaminated by aircraft motion, and editing of occasional spikes. The gravity anomalies allow estimation of bed topography under floating ice and under ice too thick for radar imaging. Magnetic anomaly reduction includes a correction for daily variation as measured at the base camp. Data formats for all observations include files for original flight profiles and grids of edited data at 1.06 km node spacing. proprietary
-SOAR1_UTIG Airborne Geophysical Data acquired by the NSF Support Office for Aerogeophysical Research (SOAR), University of Texas Institute for Geophysics, 1994-2000. SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, -62.83 https://cmr.earthdata.nasa.gov/search/concepts/C1214611637-SCIOPS.umm_json This dataset consists of airborne geophysical data collected between 1994 and 2000 by the National Science Foundation's Support Office for Aerogeophysical Research (SOAR) at the University of Texas Institute for Geophysics. Meaurements were made using a laser altimeter, a radar echo sounder, a gravimeter, and a magnetometer. Positioning was accomplished with kinematic, differential carrier-phase GPS. Multiple areas within Antarctica were covered, including both grid and line surveys. Some areas have reduced data products (i.e., surface and bed elevations, ice thickness, gravity and magnetic field anomalies). proprietary
SOAR1_UTIG Airborne Geophysical Data acquired by the NSF Support Office for Aerogeophysical Research (SOAR), University of Texas Institute for Geophysics, 1994-2000. ALL STAC Catalog 1970-01-01 -180, -90, 180, -62.83 https://cmr.earthdata.nasa.gov/search/concepts/C1214611637-SCIOPS.umm_json This dataset consists of airborne geophysical data collected between 1994 and 2000 by the National Science Foundation's Support Office for Aerogeophysical Research (SOAR) at the University of Texas Institute for Geophysics. Meaurements were made using a laser altimeter, a radar echo sounder, a gravimeter, and a magnetometer. Positioning was accomplished with kinematic, differential carrier-phase GPS. Multiple areas within Antarctica were covered, including both grid and line surveys. Some areas have reduced data products (i.e., surface and bed elevations, ice thickness, gravity and magnetic field anomalies). proprietary
+SOAR1_UTIG Airborne Geophysical Data acquired by the NSF Support Office for Aerogeophysical Research (SOAR), University of Texas Institute for Geophysics, 1994-2000. SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, -62.83 https://cmr.earthdata.nasa.gov/search/concepts/C1214611637-SCIOPS.umm_json This dataset consists of airborne geophysical data collected between 1994 and 2000 by the National Science Foundation's Support Office for Aerogeophysical Research (SOAR) at the University of Texas Institute for Geophysics. Meaurements were made using a laser altimeter, a radar echo sounder, a gravimeter, and a magnetometer. Positioning was accomplished with kinematic, differential carrier-phase GPS. Multiple areas within Antarctica were covered, including both grid and line surveys. Some areas have reduced data products (i.e., surface and bed elevations, ice thickness, gravity and magnetic field anomalies). proprietary
SOAR2_UTIG Airborne Geophysical Data acquired and reduced by The University of Texas Institute for Geophysics, 2000-2001. ALL STAC Catalog 1970-01-01 95, -82, 160, -77 https://cmr.earthdata.nasa.gov/search/concepts/C1214614557-SCIOPS.umm_json This dataset consists of airborne geophysical data collected during 2000/01 by researchers at The University of Texas Institute for Geophysics. Meaurements were made using a laser altimeter, a radar echo sounder, a gravimeter, and a magnetometer. Positioning was accomplished with kinematic, differential carrier-phase GPS. The data, reduced by UTIG, includes: surface and bed elevations, ice thickness, gravity and magnetic field anomalies. Two distinct surveys in East Antarctica are covered: a grid-based survey of subglacial Lake Vostok and its environs, and a 1200 km line-based transect extending from the Transantarctic Mountains (near 160E, 77S) toward Dome A (near 95E, 82S). proprietary
SOAR2_UTIG Airborne Geophysical Data acquired and reduced by The University of Texas Institute for Geophysics, 2000-2001. SCIOPS STAC Catalog 1970-01-01 95, -82, 160, -77 https://cmr.earthdata.nasa.gov/search/concepts/C1214614557-SCIOPS.umm_json This dataset consists of airborne geophysical data collected during 2000/01 by researchers at The University of Texas Institute for Geophysics. Meaurements were made using a laser altimeter, a radar echo sounder, a gravimeter, and a magnetometer. Positioning was accomplished with kinematic, differential carrier-phase GPS. The data, reduced by UTIG, includes: surface and bed elevations, ice thickness, gravity and magnetic field anomalies. Two distinct surveys in East Antarctica are covered: a grid-based survey of subglacial Lake Vostok and its environs, and a 1200 km line-based transect extending from the Transantarctic Mountains (near 160E, 77S) toward Dome A (near 95E, 82S). proprietary
SOCCOM_0 Southern Ocean Carbon and Climate Observations and Modeling project (SOCCOM) OB_DAAC STAC Catalog 2014-12-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360663-OB_DAAC.umm_json SOCCOM (Southern Ocean Carbon and Climate Observations and Modeling project) is a NSF project sampling the Southern Ocean and its influence on climate.Additional Data LinksCLIVAR P16S_2014 Pigment AnalysisCLIVAR P16S_2014 POC dataCLIVAR P16S_2014 Supporting Documentation proprietary
@@ -14209,8 +14211,8 @@ SOR4XPSD_LOW_012 SORCE XPS Level 4 Solar Spectral Irradiance 1.0nm Res 24-Hour M
SORTIE_0 Spectral Ocean Radiance Transfer Investigation and Experiment (SORTIE) program OB_DAAC STAC Catalog 2007-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360665-OB_DAAC.umm_json Measurements made under the SORTIE (Spectral Ocean Radiance Transfer Investigation and Experiment) program between 2007 and 2009. proprietary
SPACE_PHOTOS Space Acquired Photography USGS_LTA STAC Catalog 1965-03-23 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566702-USGS_LTA.umm_json Gemini photography was acquired between March 23, 1965 and November 15, 1966. The images were collected as part of the Synoptic Terrain Photography and the Synoptic Weather Photography experiments during Gemini Missions III through XII. Hand-held cameras were used to obtain photographs of geologic, oceanic, and meteorologic targets. The Gemini archive consists primarily of 70-mm black and white (B/W), color, and color-infrared (CIR) film. All Gemini photographs are distributed by the USGS Earth Resources Observation and Science (EROS) Center as digital products only. Skylab photography was acquired between May 22, 1973 and February 8, 1974 during three manned flights. The Skylab Earth Resources Experiment Package used two photographic remote sensing systems. The Multispectral Photographic Camera (S190A), was a six-camera array, in which each camera used 70-mm film and a six-inch focal length lens. The acquired film ranges from narrow-band B/W to broad-band color and CIR. The Earth Terrain Camera (S190B) consisted of a single high-resolution camera which used five-inch film and an 18-inch focal length lens. The acquired film includes B/W, black and white infrared (BIR), color, and CIR. All Skylab photographs are distributed by the USGS EDC as digital products only. Shuttle Large Format Camera (LFC) images were acquired from the Space Shuttle Challenger Mission on October 5-13, 1984. The LFC was mounted in the cargo bay, and was operated via signals from ground controllers. The archived imagery includes 9 x 18 inch B/W, natural color, and CIR film. Shuttle LFC photographs are distributed by the USGS EDC as digital products only. proprietary
SPANBR Automatic Atmospheric Sun Photometer Data for Brazil CEOS_EXTRA STAC Catalog 1992-06-01 -65, -28, -45, -2 https://cmr.earthdata.nasa.gov/search/concepts/C2227456147-CEOS_EXTRA.umm_json A network of 9 automatic sunphotometers operates in Brazil. Direct sun and sky radiances are acquired every hour by a weather resistant Cimel spectral radiometer in the wavelengths of 340, 440, 670,870, 940, and 1020 nm and transmitted automatically through the NOAA data collection system geostationary link for near real-time processing into spectral aerosol optical thickness, wavelength exponent and precipitable water. Evaluation of the atmospheric effects of biomass burning emissions from June-November are among the primary targets of the measurements. ftp://ftp.pmel.noaa.gov proprietary
-SPL1AP_002 SMAP L1A Radiometer Time-Ordered Parsed Telemetry V002 NSIDC_ECS STAC Catalog 2015-03-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C1000001801-NSIDC_ECS.umm_json Each Level-1A (L1A) granule incorporates all radiometer data downlinked from the Soil Moisture Active Passive (SMAP) spacecraft for one specific half orbit. The data are scaled instrument counts of the following:
- The first four raw moments of the fullband channel for both vertical and horizontal polarizations
- The complex cross-correlations of the fullband channel
- The 16 subband channels for both vertical and horizontal polarizations
proprietary
SPL1AP_002 SMAP L1A Radiometer Time-Ordered Parsed Telemetry V002 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C2938661641-NSIDC_CPRD.umm_json Each Level-1A (L1A) granule incorporates all radiometer data downlinked from the Soil Moisture Active Passive (SMAP) spacecraft for one specific half orbit. The data are scaled instrument counts of the following:
- The first four raw moments of the fullband channel for both vertical and horizontal polarizations
- The complex cross-correlations of the fullband channel
- The 16 subband channels for both vertical and horizontal polarizations
proprietary
+SPL1AP_002 SMAP L1A Radiometer Time-Ordered Parsed Telemetry V002 NSIDC_ECS STAC Catalog 2015-03-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C1000001801-NSIDC_ECS.umm_json Each Level-1A (L1A) granule incorporates all radiometer data downlinked from the Soil Moisture Active Passive (SMAP) spacecraft for one specific half orbit. The data are scaled instrument counts of the following:
- The first four raw moments of the fullband channel for both vertical and horizontal polarizations
- The complex cross-correlations of the fullband channel
- The 16 subband channels for both vertical and horizontal polarizations
proprietary
SPL1A_001_1 SMAP_L1A_RADAR_V001 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214473171-ASF.umm_json SMAP Level 1A Radar Product proprietary
SPL1A_002_2 SMAP_L1A_RADAR_V002 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243149604-ASF.umm_json SMAP Level 1A Radar Product Version 2 proprietary
SPL1A_METADATA_001_1 SMAP_L1A_RADAR_METADATA_V001 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214473426-ASF.umm_json SMAP Level 1A Radar Product Metadata proprietary
@@ -14228,7 +14230,7 @@ SPL1A_RO_QA_002_2 SMAP_L1A_RADAR_RECEIVE_ONLY_QA_V002 ASF STAC Catalog 2015-02-1
SPL1A_RO_QA_003_3 SMAP_L1A_RADAR_RECEIVE_ONLY_QA_V003 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243124139-ASF.umm_json SMAP Level 1A Radar Receive Only Data Quality Information Version 3 proprietary
SPL1BTB_006 SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures V006 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C2938661904-NSIDC_CPRD.umm_json This Level-1B (L1B) product provides calibrated estimates of time-ordered geolocated brightness temperatures measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band brightness temperatures are referenced to the Earth's surface with undesired and erroneous radiometric sources removed. proprietary
SPL1BTB_006 SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C2776463679-NSIDC_ECS.umm_json This Level-1B (L1B) product provides calibrated estimates of time-ordered geolocated brightness temperatures measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band brightness temperatures are referenced to the Earth's surface with undesired and erroneous radiometric sources removed. proprietary
-SPL1BTB_NRT_105 Near Real-time SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures V105 NSIDC_ECS STAC Catalog 2024-11-28 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C2257958430-NSIDC_ECS.umm_json "This Near Real-Time (NRT) data set corresponds to the standard SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures (SPL1BTB) product. The data provide calibrated estimates of time-ordered geolocated brightness temperature data measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4°S to 86.4°N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product, SPL1BTB (https://doi.org/10.5067/ZHHBN1KQLI20)." proprietary
+SPL1BTB_NRT_105 Near Real-time SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures V105 NSIDC_ECS STAC Catalog 2024-12-05 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C2257958430-NSIDC_ECS.umm_json "This Near Real-Time (NRT) data set corresponds to the standard SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures (SPL1BTB) product. The data provide calibrated estimates of time-ordered geolocated brightness temperature data measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4°S to 86.4°N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product, SPL1BTB (https://doi.org/10.5067/ZHHBN1KQLI20)." proprietary
SPL1B_SO_LoRes_001_1 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_V001 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214473308-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Product proprietary
SPL1B_SO_LoRes_002_2 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_V002 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243253631-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Product Version 2 proprietary
SPL1B_SO_LoRes_003_3 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_V003 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243133445-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Product Version 3 proprietary
@@ -14238,8 +14240,8 @@ SPL1B_SO_LoRes_METADATA_003_3 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_METADATA_V003 ASF ST
SPL1B_SO_LoRes_QA_001_1 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V001 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214474243-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Data Quality Info proprietary
SPL1B_SO_LoRes_QA_002_2 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V002 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243216659-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Data Quality Info Version 2 proprietary
SPL1B_SO_LoRes_QA_003_3 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V003 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243129847-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Data Quality Info Version 3 proprietary
-SPL1CTB_006 SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.umm_json This Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP L-band Level-1B time-ordered brightness temperatures resampled to an Earth-fixed, 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. This L1C product is a gridded version of the SMAP time-ordered Level-1B radiometer brightness temperature product. proprietary
SPL1CTB_006 SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V006 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938663268-NSIDC_CPRD.umm_json This Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP L-band Level-1B time-ordered brightness temperatures resampled to an Earth-fixed, 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. This L1C product is a gridded version of the SMAP time-ordered Level-1B radiometer brightness temperature product. proprietary
+SPL1CTB_006 SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.umm_json This Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP L-band Level-1B time-ordered brightness temperatures resampled to an Earth-fixed, 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. This L1C product is a gridded version of the SMAP time-ordered Level-1B radiometer brightness temperature product. proprietary
SPL1CTB_E_004 SMAP Enhanced L1C Radiometer Half-Orbit 9 km EASE-Grid Brightness Temperatures V004 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938663435-NSIDC_CPRD.umm_json This enhanced Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract enhanced information from SMAP antenna temperatures before they are converted to brightness temperatures. The resulting brightness temperatures are posted to an Earth-fixed, 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. proprietary
SPL1CTB_E_004 SMAP Enhanced L1C Radiometer Half-Orbit 9 km EASE-Grid Brightness Temperatures V004 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463717-NSIDC_ECS.umm_json This enhanced Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract enhanced information from SMAP antenna temperatures before they are converted to brightness temperatures. The resulting brightness temperatures are posted to an Earth-fixed, 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. proprietary
SPL1C_S0_HiRes_001_1 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_V001 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214473367-ASF.umm_json SMAP Level 1C Sigma Naught High Res Product proprietary
@@ -14253,37 +14255,37 @@ SPL1C_S0_HiRes_QA_002_2 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V002 ASF STAC Catalog
SPL1C_S0_HiRes_QA_003_3 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V003 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243140611-ASF.umm_json SMAP Level 1C Sigma Naught High Res Data Quality Info Version 3 proprietary
SPL2SMAP_003 SMAP L2 Radar/Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2830464428-NSIDC_CPRD.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer during 6:00 a.m. descending half-orbit passes. SMAP L-band backscatter and brightness temperatures are used to derive soil moisture data, which are then resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL2SMAP_003 SMAP L2 Radar/Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer during 6:00 a.m. descending half-orbit passes. SMAP L-band backscatter and brightness temperatures are used to derive soil moisture data, which are then resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
-SPL2SMAP_S_003 SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-03-31 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C1931663473-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes and the Sentinel-1A and -1B radar. SMAP L-band brightness temperatures and Copernicus Sentinel-1 C-band backscatter coefficients are used to derive soil moisture data, which are then resampled to an Earth-fixed, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). While the 3 km data product has undergone validation, the 1 km product has not and should be used with caution. proprietary
SPL2SMAP_S_003 SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2938663471-NSIDC_CPRD.umm_json This Level-2 (L2) soil moisture product provides estimates of land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes and the Sentinel-1A and -1B radar. SMAP L-band brightness temperatures and Copernicus Sentinel-1 C-band backscatter coefficients are used to derive soil moisture data, which are then resampled to an Earth-fixed, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). While the 3 km data product has undergone validation, the 1 km product has not and should be used with caution. proprietary
+SPL2SMAP_S_003 SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-03-31 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C1931663473-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes and the Sentinel-1A and -1B radar. SMAP L-band brightness temperatures and Copernicus Sentinel-1 C-band backscatter coefficients are used to derive soil moisture data, which are then resampled to an Earth-fixed, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). While the 3 km data product has undergone validation, the 1 km product has not and should be used with caution. proprietary
SPL2SMA_003 SMAP L2 Radar Half-Orbit 3 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2812935277-NSIDC_CPRD.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) active radar during 6:00 a.m. descending half-orbit passes, as well as ancillary data such as surface temperature and vegetation water content. Input backscatter data used to derive soil moisture are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL2SMA_003 SMAP L2 Radar Half-Orbit 3 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303826-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) active radar during 6:00 a.m. descending half-orbit passes, as well as ancillary data such as surface temperature and vegetation water content. Input backscatter data used to derive soil moisture are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
-SPL2SMP_009 SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V009 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463734-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data. proprietary
SPL2SMP_009 SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V009 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938663609-NSIDC_CPRD.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data. proprietary
+SPL2SMP_009 SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V009 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463734-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data. proprietary
SPL2SMP_E_006 SMAP Enhanced L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776463773-NSIDC_ECS.umm_json This enhanced Level-2 (L2) product contains calibrated, geolocated, brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection [available as the SPl1CTB_E product]. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. These 9-km brightness temperatures are then used to retrieve surface soil moisture posted on the 9-km grid [this SPL2SMP_E product]. proprietary
SPL2SMP_E_006 SMAP Enhanced L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V006 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2938663676-NSIDC_CPRD.umm_json This enhanced Level-2 (L2) product contains calibrated, geolocated, brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection [available as the SPl1CTB_E product]. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. These 9-km brightness temperatures are then used to retrieve surface soil moisture posted on the 9-km grid [this SPL2SMP_E product]. proprietary
-SPL2SMP_NRT_107 Near Real-time SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V107 NSIDC_ECS STAC Catalog 2024-11-28 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2312096175-NSIDC_ECS.umm_json "This Near Real-Time (NRT) data set corresponds to the standard SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture (SPL2SMP) product. The data provide estimates of global land surface conditions measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4°S to 86.4°N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product SPL2SMP (https://doi.org/10.5067/LPJ8F0TAK6E0)." proprietary
-SPL3FTA_003 SMAP L3 Radar Northern Hemisphere Daily 3 km EASE-Grid Freeze/Thaw State V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, 45, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303849-NSIDC_ECS.umm_json This Level-3 (L3) product provides a daily composite of Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radar from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band backscatter data are used to derive freeze/thaw data, which are then resampled to an Earth-fixed, Northern Hemisphere azimuthal 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
+SPL2SMP_NRT_107 Near Real-time SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V107 NSIDC_ECS STAC Catalog 2024-12-05 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2312096175-NSIDC_ECS.umm_json "This Near Real-Time (NRT) data set corresponds to the standard SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture (SPL2SMP) product. The data provide estimates of global land surface conditions measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4°S to 86.4°N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product SPL2SMP (https://doi.org/10.5067/LPJ8F0TAK6E0)." proprietary
SPL3FTA_003 SMAP L3 Radar Northern Hemisphere Daily 3 km EASE-Grid Freeze/Thaw State V003 NSIDC_CPRD STAC Catalog 2015-04-13 2015-07-07 -180, 45, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2872766057-NSIDC_CPRD.umm_json This Level-3 (L3) product provides a daily composite of Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radar from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band backscatter data are used to derive freeze/thaw data, which are then resampled to an Earth-fixed, Northern Hemisphere azimuthal 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
+SPL3FTA_003 SMAP L3 Radar Northern Hemisphere Daily 3 km EASE-Grid Freeze/Thaw State V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, 45, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303849-NSIDC_ECS.umm_json This Level-3 (L3) product provides a daily composite of Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radar from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band backscatter data are used to derive freeze/thaw data, which are then resampled to an Earth-fixed, Northern Hemisphere azimuthal 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3FTP_004 SMAP L3 Radiometer Global and Northern Hemisphere Daily 36 km EASE-Grid Freeze/Thaw State V004 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463838-NSIDC_ECS.umm_json This Level-3 (L3) product provides a daily composite of landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are used to derive freeze/thaw state and transition data, which are then resampled to both an Earth-fixed, Northern Hemisphere azimuthal 36 km Equal-Area Scalable Earth Grid (EASE-Grid 2.0), and to an Earth-fixed global 36 km EASE-Grid 2.0. proprietary
SPL3FTP_004 SMAP L3 Radiometer Global and Northern Hemisphere Daily 36 km EASE-Grid Freeze/Thaw State V004 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938664170-NSIDC_CPRD.umm_json This Level-3 (L3) product provides a daily composite of landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are used to derive freeze/thaw state and transition data, which are then resampled to both an Earth-fixed, Northern Hemisphere azimuthal 36 km Equal-Area Scalable Earth Grid (EASE-Grid 2.0), and to an Earth-fixed global 36 km EASE-Grid 2.0. proprietary
SPL3FTP_E_004 SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V004 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.umm_json This enhanced Level-3 (L3) product provides a daily composite of global and Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP enhanced Level-1C brightness temperatures (SPL1CTB_E). Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures. The data are then posted to two 9 km Earth-fixed, Equal-Area Scalable Earth Grids, Version 2.0 (EASE-Grid 2.0): a global cylindrical and a Northern Hemisphere azimuthal. proprietary
SPL3FTP_E_004 SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V004 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.umm_json This enhanced Level-3 (L3) product provides a daily composite of global and Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP enhanced Level-1C brightness temperatures (SPL1CTB_E). Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures. The data are then posted to two 9 km Earth-fixed, Equal-Area Scalable Earth Grids, Version 2.0 (EASE-Grid 2.0): a global cylindrical and a Northern Hemisphere azimuthal. proprietary
-SPL3SMAP_003 SMAP L3 Radar/Radiometer Global Daily 9 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.umm_json This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3SMAP_003 SMAP L3 Radar/Radiometer Global Daily 9 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.umm_json This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
-SPL3SMA_003 SMAP L3 Radar Global Daily 3 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303828-NSIDC_ECS.umm_json This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radar as well as a variety of ancillary data sources. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
+SPL3SMAP_003 SMAP L3 Radar/Radiometer Global Daily 9 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.umm_json This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3SMA_003 SMAP L3 Radar Global Daily 3 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2872766452-NSIDC_CPRD.umm_json This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radar as well as a variety of ancillary data sources. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
+SPL3SMA_003 SMAP L3 Radar Global Daily 3 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303828-NSIDC_ECS.umm_json This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radar as well as a variety of ancillary data sources. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3SMP_009 SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture V009 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938664585-NSIDC_CPRD.umm_json This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band soil moisture data are resampled to a global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3SMP_009 SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture V009 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463935-NSIDC_ECS.umm_json This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band soil moisture data are resampled to a global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
-SPL3SMP_E_006 SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776463943-NSIDC_ECS.umm_json This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. proprietary
SPL3SMP_E_006 SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2938664763-NSIDC_CPRD.umm_json This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. proprietary
+SPL3SMP_E_006 SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776463943-NSIDC_ECS.umm_json This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. proprietary
SPL4CMDL_007 SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange V007 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2534576405-NSIDC_ECS.umm_json The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
SPL4CMDL_007 SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938665243-NSIDC_CPRD.umm_json The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
SPL4SMAU_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update V007 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2537927247-NSIDC_ECS.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: - SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D)
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3)
- SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG).
For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
SPL4SMAU_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: - SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D)
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3)
- SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG).
For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
-SPL4SMGP_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938665761-NSIDC_CPRD.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
SPL4SMGP_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V007 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2531308461-NSIDC_ECS.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
-SPL4SMLM_007 SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2537926833-NSIDC_ECS.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
+SPL4SMGP_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938665761-NSIDC_CPRD.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
SPL4SMLM_007 SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
+SPL4SMLM_007 SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2537926833-NSIDC_ECS.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
SPOT-6.and.7.ESA.archive_9.0 SPOT-6 and 7 ESA archive ESA STAC Catalog 2012-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336951-ESA.umm_json The SPOT 6 and 7 ESA archive is a dataset of SPOT 6 and SPOT 7 products that ESA collected over the years. The dataset regularly grows as ESA collects new SPOT 6 and 7 products. SPOT 6 and 7 Primary and Ortho products can be available in the following modes: Panchromatic image at 1.5m resolution Pansharpened colour image at 1.5m resolution Multispectral image in 4 spectral bands at 6m resolution Bundle (1.5m panchromatic image + 6m multispectral image) Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/socat/SPOT6-7 available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided. proprietary
SPOT1-5_8.0 SPOT1-5 ESA archive ESA STAC Catalog 1986-04-01 2015-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648155-ESA.umm_json The ESA SPOT1-5 collection is a dataset of SPOT-1 to 5 Panchromatic and Multispectral products that ESA collected over the years. The HRV(IR) sensor onboard SPOT 1-4 provides data at 10 m spatial resolution Panchromatic mode (-1 band) and 20 m (Multispectral mode -3 or 4 bands). The HRG sensor on board of SPOT-5 provides spatial resolution of the imagery to < 3 m in the panchromatic band and to 10 m in the multispectral mode (3 bands). The SWIR band imagery remains at 20 m. The dataset mainly focuses on European and African sites but some American, Asian and Greenland areas are also covered. proprietary
SPOT4-5_Take5.ESAarchive_7.0 SPOT 4-5 Take5 ESA archive ESA STAC Catalog 2013-01-31 2015-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336953-ESA.umm_json At the end of SPOT-4 life, the Take5 experiment was launched and the satellite was moved to a lower orbit to obtain a 5 day repeat cycle, same repetition of Sentinel-2. Thanks to this orbit, from 1st of Feb to 19th of June 2013 a time series of images acquired every 5 days with constant angle and over 45 different sites were observed. In analogy to the previous SPOT-4 Take-5 experiment, also SPOT-5 was placed in a 5 days cycle orbit and 145 selected sites were acquired every 5 days under constant angles from 8th of April to 31st of August 2015. With a resolution of 10 m, the following processing levels are available: Level 1A: reflectance at the top of atmosphere (TOA), not orthorectified products Level 1C: data orthorectified reflectance at the top of atmosphere (TOA) Level 2A: data orthorectified surface reflectance after atmospheric correction (BOA), along with clouds mask and their shadow, and mask of water and snow. proprietary
@@ -14330,8 +14332,8 @@ SPURS2_WAVEGLIDER_1.0 SPURS-2 Waveglider data for the E. Tropical Pacific field
SPURS2_XBAND_1.0 SPURS-2 shipboard X-band radar backscatter data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2017-10-21 2017-11-13 -129.131, 8.927, -122.151, 10.355 https://cmr.earthdata.nasa.gov/search/concepts/C2781659132-POCLOUD.umm_json The SPURS-2 X-band marine navigation radar image dataset was collected from the ship during both the 2016 and 2017 cruises. The dataset consists of screenshots of rain echoes captured directly from the science-use X-band marine navigation radar. Raw data could not be saved. The screenshots show qualitative (uncalibrated) echoes of backscatter from rain. For full details on the screenshots, how they should be used, and what they show about rainfall, please refer to our publication: Thompson, E.J., W.E. Asher, A.T. Jessup, and K. Drushka. 2019. High-Resolution Rain Maps from an X-band Marine Radar and Their Use in Understanding Ocean Freshening. Oceanography 32(2):58–65, https://doi.org/10.5670/oceanog.2019.213 . The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. proprietary
SPURS2_XBAND_IMG_1.0 SPURS-2 shipboard X-band radar backscatter images for the 2016 E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-31 2016-09-22 -129.131, 8.927, -122.151, 10.355 https://cmr.earthdata.nasa.gov/search/concepts/C2931233351-POCLOUD.umm_json The SPURS-2 X-band marine navigation radar image dataset was collected from the ship during both the 2016 and 2017 cruises. The dataset consists of screenshots of rain echoes captured directly from the science-use X-band marine navigation radar. Raw data could not be saved. The screenshots show qualitative (uncalibrated) echoes of backscatter from rain. For full details on the screenshots, how they should be used, and what they show about rainfall, please refer to our publication: Thompson, E.J., W.E. Asher, A.T. Jessup, and K. Drushka. 2019. High-Resolution Rain Maps from an X-band Marine Radar and Their Use in Understanding Ocean Freshening. Oceanography 32(2):58–65, https://doi.org/10.5670/oceanog.2019.213 . The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. proprietary
SPURS2_XBT_1.0 SPURS-2 research vessel Expendable Bathythermograph (XBT) profile data for E. Tropical Pacific R/V Revelle cruises POCLOUD STAC Catalog 2016-08-14 2017-11-15 -157.88, 5.06, -118.32, 21.26 https://cmr.earthdata.nasa.gov/search/concepts/C2491772372-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Expendable bathythermograph (XBT) casts were undertaken at stations during both of the SPURS-2 R/V Revelle cruises. Launched off the side of the ship, XBT probes provide vertical profile measurements of the water column at fixed locations. There were a total of 25 and 11 XBT deployments made during the first and second R/V Revelle cruises respectively. There is one XBT data file per cruise, each containing the temperature profile data from all instrument deployments undertaken during that cruise. proprietary
-SRDB_V5_1827_5 A Global Database of Soil Respiration Data, Version 5.0 ORNL_CLOUD STAC Catalog 1961-01-01 2017-12-31 -163.71, -78.02, 175.9, 81.8 https://cmr.earthdata.nasa.gov/search/concepts/C2216864433-ORNL_CLOUD.umm_json The Soil Respiration Database (SRDB) is a near-universal compendium of published soil respiration (Rs) data. The database encompasses published studies that report at least one of the following data measured in the field (not laboratory): annual soil respiration, mean seasonal soil respiration, a seasonal or annual partitioning of soil respiration into its source fluxes, soil respiration temperature response (Q10), or soil respiration at 10 degrees C. The SRDB's orientation is to seasonal and annual fluxes, not shorter-term or chamber-specific measurements, and the database is dominated by temperate, well-drained forest measurement locations. Version 5 (V5) is the compilation of 2,266 published studies with measurements taken between 1961-2017. V5 features more soil respiration data published in Russian and Chinese scientific literature for better global spatio-temporal coverage and improved global climate-space representation. The database is also restructured to have better interoperability with other datasets related to carbon-cycle science. proprietary
SRDB_V5_1827_5 A Global Database of Soil Respiration Data, Version 5.0 ALL STAC Catalog 1961-01-01 2017-12-31 -163.71, -78.02, 175.9, 81.8 https://cmr.earthdata.nasa.gov/search/concepts/C2216864433-ORNL_CLOUD.umm_json The Soil Respiration Database (SRDB) is a near-universal compendium of published soil respiration (Rs) data. The database encompasses published studies that report at least one of the following data measured in the field (not laboratory): annual soil respiration, mean seasonal soil respiration, a seasonal or annual partitioning of soil respiration into its source fluxes, soil respiration temperature response (Q10), or soil respiration at 10 degrees C. The SRDB's orientation is to seasonal and annual fluxes, not shorter-term or chamber-specific measurements, and the database is dominated by temperate, well-drained forest measurement locations. Version 5 (V5) is the compilation of 2,266 published studies with measurements taken between 1961-2017. V5 features more soil respiration data published in Russian and Chinese scientific literature for better global spatio-temporal coverage and improved global climate-space representation. The database is also restructured to have better interoperability with other datasets related to carbon-cycle science. proprietary
+SRDB_V5_1827_5 A Global Database of Soil Respiration Data, Version 5.0 ORNL_CLOUD STAC Catalog 1961-01-01 2017-12-31 -163.71, -78.02, 175.9, 81.8 https://cmr.earthdata.nasa.gov/search/concepts/C2216864433-ORNL_CLOUD.umm_json The Soil Respiration Database (SRDB) is a near-universal compendium of published soil respiration (Rs) data. The database encompasses published studies that report at least one of the following data measured in the field (not laboratory): annual soil respiration, mean seasonal soil respiration, a seasonal or annual partitioning of soil respiration into its source fluxes, soil respiration temperature response (Q10), or soil respiration at 10 degrees C. The SRDB's orientation is to seasonal and annual fluxes, not shorter-term or chamber-specific measurements, and the database is dominated by temperate, well-drained forest measurement locations. Version 5 (V5) is the compilation of 2,266 published studies with measurements taken between 1961-2017. V5 features more soil respiration data published in Russian and Chinese scientific literature for better global spatio-temporal coverage and improved global climate-space representation. The database is also restructured to have better interoperability with other datasets related to carbon-cycle science. proprietary
SRE4_SAB_gammaclones_1 Clone library using primers for gammaproteobacteria from an SAB treatment in the SRE4 experiment AU_AADC STAC Catalog 2002-12-01 2002-12-31 110, -66, 110, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214313841-AU_AADC.umm_json A clone library was created from DNA extracted from an SAB-treated sample from the SRE4 in situ biodegradation experiment. The clone libary was created using one universal primer and one primer designed to be specific for the gammaproteobacteria. Sequences of approximately 600 bp were obtained. The samples used in this experiment were collected from O'Brien Bay, near Casey Station in the Windmill Islands. Gammaproteobacteria clone library Clone library created from SRE4 T2 SAB sample using primers 10F (GAG TTT GAT CCT GGC TCA G ) and GAMR (GGT AAG GTT CTT CGC GTT GCA T). Clones sequenced on a CEQ8000 Genetic Analysis system (Beckman-Coulter) and alignments were done in BioEdit v 5.0.9. Text file SRE4gammaclonesalign is a text version of BioEdit file SRE4gammaclones. This work was completed as part of ASAC project 2672 (ASAC_2672). proprietary
SRE4_desulfobaculaDGGE_1 Band pattern data from Desulfobacula-group specific DGGE for the SRE4 experiment AU_AADC STAC Catalog 2001-10-25 2003-03-30 110, -67, 111, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214313816-AU_AADC.umm_json Samples are from the SRE4 experiment - an in situ experiment to determine fate and effects of different types of oils in the Antarctic marine environment. For details see: Powell S.M., Snape I., Bowman J.P., Thompson B.A.W., Stark J.S., McCammon S.A., Riddle M.J. 2005. A comparison of the short term effects of diesel fuel and lubricant oils on Antarctic benthic microbial communities. Journal of Experimental Marine Biology and Ecology 322:53-65. Samples were analysed by denaturing gradient gel electrophoresis (DGGE) with primers specific for the Desulfobacula group. Samples A,B,C,D,E,F,G,H,I are all initial samples collected different days Samples beginning T0 are predeployment samples, the next number refers to the batch. Samples beginning T2 are 1 year samples with: C = control S = SAB L = lubricant U = used lubricant B = biodegradable lubricant PCR conditions were as follows: Primers: 764F: ACAATGGTAAATGAGGGCA 1392RC: CGCCCGCCGCGCCCCGCGCCCGGCCCGCCGCCCCCGCCCCACGGGCGG TGTGTAC 50 ul (micro litre) reactions with Advantage II taq (Clontech) following manufacturer's recommendations with 20 pmol (pico mol) each primer and 20 ng (nano gram) template DNA. Cycling: 94C 5 minutes 10 cycles of: 94C 1 minutes 65C 1 minutes (-1C per cycle) 72C 2 minutes 20 cycles of: 94C 1 minutes 55C 1 minutes 72C 2 minutes 72C 30 minutes DGGE carried out using the D-Code system (BioRad). Gel: 8% acrylamide 30 - 65% denaturant with 2 cm stacking gel (15% acrylamide) 1 x TAE, 60 degrees C, 70V 16 hours The gels were pre-run for 20 minutes then half reaction volume was loaded and the lanes flushed out after 15 minutes. Gels were stained with SYBRGold. Images were captured using Storm Phosphorimager and ImageQuant v5.2 software(.gel files). Samples were only compared within a gel. Band pattern results are in the file desulfodgge.xls. For each comparison made there is a separate sheet in this file (see below). The first column in each sheet is the band position (or band name) and the remaining columns are samples with the first row being the sample name. '0' '1' indicate the band was 'absent' or 'present'. Comparison Image files (.gel and .tif) results sheets Background variation 140704f; 140704b 140704f and 140704b predeployment batches 180604f; 180406b 180604f and 180604b effect of setup 150704 150704 immediate effect of oil 250604f; 250604b 250604f and 250604b 1 year samples (T2) 040804f; 040804b 040804f and 040804b This work was completed as part of ASAC projects 1228 and 2201 (ASAC_1228, ASAC_2201). proprietary
SRE4_gammaproteobacteriaDGGE_1 Band pattern data from Gammaproteobacteria-group specific DGGE AU_AADC STAC Catalog 2001-10-25 2003-03-30 110, -67, 111, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214313817-AU_AADC.umm_json Samples are from the SRE4 experiment - an in situ experiment to determine fate and effects of different types of oils in the Antarctic marine environment. For details see: Powell S.M., Snape I., Bowman J.P., Thompson B.A.W., Stark J.S., McCammon S.A., Riddle M.J. 2005. A comparison of the short term effects of diesel fuel and lubricant oils on Antarctic benthic microbial communities. Journal of Experimental Marine Biology and Ecology 322:53-65. Samples were analysed by denaturing gradient gel electrophoresis (DGGE) with primers specific for the Gammaproteobacteria. Samples used were from Time2 (1 year) Initial: T-1C; T-1E Control: T2C SAB treatment: T2S PCR conditions: Primers: GAMFC: CGC CCG CCG CGC CCC GCG CCC GGC CCG CCG CCC CCG CCC GGG TTA ATC GGA ATT ACT GG GAMR: GGT AAG GTT CTT CGC GTT GCA T 50 ul (micro litre) reactions with HotStar (qiagen) mix, 5ul Q solution, 10 pmol (pico mol) each primer and 20 ng (nano gram) template DNA cycling: 94C 15 minutes 35 cycles of: 94C 1 minutes 55C 1 minutes 72C 1 minutes 72C 20 minutes DGGE was performed using D-Code system (BioRad). Gel: 8% acryloamide, 30 - 65% denaturant with 2 cm stacking gel 1 x TAE, 60 degrees C, 80V 16 hours Gel was pre-run for 20 minutes and lanes were flushed out after 15 minutes. Gel was stained with Sybrgold. Image captured using Storm Phosphorimager and ImageQuant v5.2 software (.gel files). The image files are called 151105#2.gel and 151105.tif Band pattern results are in gammadgge.xls. The first column is the band position (or band name) and the remaining columns are samples with the first row being the sample name. The numbers indicates how many times the band appeared for that sample out of 2 DGGE runs. This work was completed as part of ASAC projects 1228 and 2201 (ASAC_1228, ASAC_2201). proprietary
@@ -14355,8 +14357,8 @@ SRTMSWBD_003 NASA Shuttle Radar Topography Mission Water Body Data Shapefiles &
SSBUVIRR_008 Shuttle SBUV (SSBUV) Solar Spectral Irradiance V008 (SSBUVIRR) at GES DISC GES_DISC STAC Catalog 1989-10-19 1996-01-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1273652226-GES_DISC.umm_json The Shuttle Solar Backscatter Ultraviolet (SSBUV) level-2 irradiance data are available for eight space shuttle missions flown between 1989 and 1996. SSBUV, a successor to the SBUV flown on the Nimbus-7 satellite, is nearly identical to the SBUV/2 instruments flown on the NOAA polar orbiting satellites. Data are available in an ASCII text format. UV irradiance data are available for the following days from the eight missions: Flight #1: 1989 October 19, 20, 21 Flight #2: 1990 October 7, 8, 9 Flight #3: 1991 August 3, 4, 5, 6 Flight #4: 1992 March 29, 30 Flight #5: 1993 April 9, 11, 13, 15, 16 Flight #6: 1994 March 14, 15, 17 Flight #7: 1994 November 5, 7, 10, 13 Flight #8: 1996 January 12, 16, 18 The Shuttle SBUV (SSBUV) instrument measured solar spectral UV irradiance during the maximum and declining phase of solar cycle 22. The SSBUV data accurately represent the absolute solar UV irradiance between 200-405 nm, and also show the long-term variations during eight flights between October 1989 and January 1996. These data have been used to correct long-term sensitivity changes in the NOAA-11 SBUV/2 data, which provide a near-daily record of solar UV variations over the 170-400 nm region between December 1988 and October 1994. These data demonstrate the evolution of short-term solar UV activity during solar cycle 22. proprietary
SSBUVO3_008 Shuttle SBUV (SSBUV) Level 2 Ozone Profile and Total Column, Aerosol Index, and UV-Reflectivity V008 (SSBUVO3) at GES DISC GES_DISC STAC Catalog 1989-10-19 1996-01-18 -180, -57, 180, 58 https://cmr.earthdata.nasa.gov/search/concepts/C1273652228-GES_DISC.umm_json The Shuttle Solar Backscatter Ultraviolet (SSBUV) Level-2 Ozone data are available for eight space shuttle missions flown between 1989 and 1996. SSBUV, a successor to the SBUV flown on the Nimbus-7 satellite, is nearly identical to the SBUV/2 instruments flying on the NOAA satellites. Data are available in the ASCII AMES text format. Ozone profiles of the upper atmosphere and total column ozone values are available for the following time periods: Flight #1: 1989 October 19, 20, 21. Flight #2: 1990 October 7, 8, 9. Flight #3: 1991 August 3, 4, 5, 6. Flight #4: 1992 March 29, 31. Flight #5: 1993 April 9, 11, 13, 15, 16. Flight #6: 1994 March 14, 15, 17. Flight #7: 1994 November 5, 7, 10, 13. Flight #8: 1996 January 12, 16, 18. SSBUV measures spectral ultraviolet radiances backscattered by the earth's atmosphere. For the ozone measurements the instrument steps over wavelengths between 252.2 and 339.99 nm while viewing the earth in the nadir position (50 km x 50 km footprint at nadir) at 19 pressure levels between 0.3 mb and 100 mb. proprietary
SSDP_HAZARD_EARTHQUAKE Earthquakes and Planning for Ground Rupture Hazards CEOS_EXTRA STAC Catalog 1970-01-01 -116, 33, -115.5, 33.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231553786-CEOS_EXTRA.umm_json Detailed maps bring a greater resolution to the number and locations of active faults. Preparing maps at a higher resolution requires extensive field study, and with a GIS, information, such as tract and parcel data, utility corridors, and flood hazard zones, can be incorporated to help decision makers in locating remediation facilities. After the Sylmar earthquake in 1972, building codes were strengthened, and the Alquist-Priolo Special Studies Zone Act was passed. Its purpose is to mitigate the hazard of fault rupture by prohibiting the location of most human occupancy structures across the traces of active faults. Earthquake fault zones are regulatory zones that encompass surface traces of active faults with a potential for future surface fault rupture. The zones are generally established about 500 feet on either side of the surface trace of active faults. Active faults and strips of state-mandated zoning along faults (Alquist-Priolo zones) riddle the Salton Sea Basin. The primary fault, the San Andreas, steps from the northeast side of the Salton Sea across the southern end, along a series of poorly understood faults, to the Brawley and Imperial fault systems. This stepover region has not had a historic ground-rupturing earthquake. Alquist-Priolo zones could not be defined because the faults are not well-located. Faults parallel to, and splaying from, the San Andreas are also capable of major earthquakes. Initial plans for remediation facilities take into account the generalized information (at 1:750,000 scale) on active faults, and the fault maps do not provide information on strong ground shaking. The shaking can damage facilities that lie far from an earthquake epicenter and far from active faults. Information on near-surface materials is required to estimate the ground-shaking hazards. proprietary
-SSEC-AMRC-AIRCRAFT Aircraft meteorological reports over Antarctica ALL STAC Catalog 2004-04-04 2015-08-31 -180, -90, 180, 0 https://cmr.earthdata.nasa.gov/search/concepts/C1214605495-SCIOPS.umm_json The AMRC has been archiving the Aircraft data since the 2000's in the ftp archive. Products used to be made in real-time, but data collection has ended starting 31 August, 2015. proprietary
SSEC-AMRC-AIRCRAFT Aircraft meteorological reports over Antarctica SCIOPS STAC Catalog 2004-04-04 2015-08-31 -180, -90, 180, 0 https://cmr.earthdata.nasa.gov/search/concepts/C1214605495-SCIOPS.umm_json The AMRC has been archiving the Aircraft data since the 2000's in the ftp archive. Products used to be made in real-time, but data collection has ended starting 31 August, 2015. proprietary
+SSEC-AMRC-AIRCRAFT Aircraft meteorological reports over Antarctica ALL STAC Catalog 2004-04-04 2015-08-31 -180, -90, 180, 0 https://cmr.earthdata.nasa.gov/search/concepts/C1214605495-SCIOPS.umm_json The AMRC has been archiving the Aircraft data since the 2000's in the ftp archive. Products used to be made in real-time, but data collection has ended starting 31 August, 2015. proprietary
SSFR_irradiance_841_1 SAFARI 2000 Solar Spectral Flux Radiometer Data, Southern Africa, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-17 2000-09-16 5, -35, 60, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2788411266-ORNL_CLOUD.umm_json The Solar Spectral Flux Radiometer (SSFR) was deployed on the University of Washington CV-580 during the dry season component of the Southern African Regional Science Initiative, August 1 - September 20, 2000. The SSFR made simultaneous measurements of both downwelling and upwelling net solar spectral irradiance at varying flight levels. Data have been provided for twenty flights in netcdf format for the period August 17 - September 16, 2000.For a complete detailed guide to the extensive measurements obtained aboard the UW Convair-580 aircraft in support of SAFARI 2000, see the UW Technical Report for the SAFARI 2000 Project. proprietary
STAQS_AircraftRemoteSensing_JSC-GV_GCAS_Data_1 STAQS JSC GV GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator Data LARC_CLOUD STAC Catalog 2023-06-26 2023-08-17 -120.3, 33.36, -72, 44.56 https://cmr.earthdata.nasa.gov/search/concepts/C2862468660-LARC_CLOUD.umm_json STAQS_AircraftRemoteSensing_JSC-GV_GCAS_Data is the remotely sensed trace gas data for the JSC Gulfstream V aircraft taken by the GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS) instrument as part of the Synergistic TEMPO Air Quality Science (STAQS) mission. Data collection for this product is complete. Launched in April 2023, NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite monitors major air pollutants across North America every daylight hour at high spatial resolution at a geostationary orbit (GEO). With these measurements, NASA’s STAQS mission seeks to integrate TEMPO satellite observations with traditional air quality monitoring to improve understanding of air quality science and enhance societal benefit. STAQS is being conducted during summer 2023, targeting urban areas, including Los Angeles, New York City, and Chicago. As part of the mission two aircraft will be outfitted with various remote sensing payloads. The Johnson Space Center (JSC) Gulfstream-V (G-V) aircraft will feature the GeoCAPE Airborne Simulator (GCAS) and combined High Spectral Resolution Lidar-2 (HSRL-2) and Ozone Differential Absorption Lidar (DIAL). This payload provides repeated high-resolution mapping of NO2, HCHO, ozone, and aerosols up to 3x per day over targeted cities. NASA Langley Research Center’s (LaRC’s) Gulfstream-III will measure city-scale emissions 2x per day over the targeted cities with the High-Altitude Lidar Observatory (HALO) and Airborne Visible InfraRed Imaging Spectrometer – Next Generation (AVIRS-NG). STAQS will also incorporate ground-based tropospheric ozone profiles from the NASA Tropospheric Ozone Lidar Network (TOLNet), NO2, HCHO, and ozone measurements from Pandora spectrometers, and will leverage existing networks operated by the EPA and state air quality agencies. The primary goal of STAQS is to improve our current understanding of air quality science under the TEMPO field of regard. Further goals include evaluating TEMPO level 2 data products, interpreting the temporal and spatial evolution of air quality events tracked by TEMPO, improving temporal estimates of anthropogenic, biogenic, and greenhouse gas emissions, assessing the benefit of assimilating TEMPO data into chemical transport models, and linking air quality patterns to socio-demographic data. proprietary
STAQS_AircraftRemoteSensing_JSC-GV_HSRL2_Data_1 STAQS JSC GV High Spectral Resolution Lidar-2 Data LARC_CLOUD STAC Catalog 2023-06-24 2023-08-16 -119.8, 29.25, -72.1, 44.22 https://cmr.earthdata.nasa.gov/search/concepts/C2862479332-LARC_CLOUD.umm_json STAQS_AircraftRemoteSensing_JSC-GV_HSRL2_Data is the remotely sensed trace gas data for the JSC Gulfstream V aircraft taken by the High Spectral Resolution Lidar-2 (HSRL-2) as part of the Synergistic TEMPO Air Quality Science (STAQS) mission. Data collection for this product is complete. Launched in April 2023, NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite monitors major air pollutants across North America every daylight hour at high spatial resolution at a geostationary orbit (GEO). With these measurements, NASA’s STAQS mission seeks to integrate TEMPO satellite observations with traditional air quality monitoring to improve understanding of air quality science and enhance societal benefit. STAQS is being conducted during summer 2023, targeting urban areas, including Los Angeles, New York City, and Chicago. As part of the mission two aircraft will be outfitted with various remote sensing payloads. The Johnson Space Center (JSC) Gulfstream-V (G-V) aircraft will feature the GeoCAPE Airborne Simulator (GCAS) and combined High Spectral Resolution Lidar-2 (HSRL-2) and Ozone Differential Absorption Lidar (DIAL). This payload provides repeated high-resolution mapping of NO2, HCHO, ozone, and aerosols up to 3x per day over targeted cities. NASA Langley Research Center’s (LaRC’s) Gulfstream-III will measure city-scale emissions 2x per day over the targeted cities with the High-Altitude Lidar Observatory (HALO) and Airborne Visible InfraRed Imaging Spectrometer – Next Generation (AVIRS-NG). STAQS will also incorporate ground-based tropospheric ozone profiles from the NASA Tropospheric Ozone Lidar Network (TOLNet), NO2, HCHO, and ozone measurements from Pandora spectrometers, and will leverage existing networks operated by the EPA and state air quality agencies. The primary goal of STAQS is to improve our current understanding of air quality science under the TEMPO field of regard. Further goals include evaluating TEMPO level 2 data products, interpreting the temporal and spatial evolution of air quality events tracked by TEMPO, improving temporal estimates of anthropogenic, biogenic, and greenhouse gas emissions, assessing the benefit of assimilating TEMPO data into chemical transport models, and linking air quality patterns to socio-demographic data. proprietary
@@ -14535,16 +14537,16 @@ SWOT_SIMULATED_NA_CONTINENT_L2_HR_PIXC_V1_1.0 SWOT Simulated Level 2 North Amer
SWOT_SIMULATED_NA_CONTINENT_L2_HR_RASTER_V1_1.0 SWOT Simulated Level 2 North America Continent High Rate Raster Product Version 1.0 POCLOUD STAC Catalog 2022-08-01 2022-08-22 -113, 24, -82, 52 https://cmr.earthdata.nasa.gov/search/concepts/C2263383790-POCLOUD.umm_json This dataset contains a simulated rasterized water surface elevation and inundation-extent product to be provided by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. This is a derived product through resampling the upstream dataset L2_HR_PIXC_V1 and L2_HR_PIXCVEC_V1 onto a uniform grid over the North America continent. A uniform grid is superimposed onto the pixel cloud from the source products, and all pixel-cloud samples within each grid cell are aggregated to produce a single value per raster cell. The raster data are produced geographically fixed tiles at resolutions of 100 m and 250 m in a Universal Transverse Mercator projection grid. Note that this is a simulated SWOT product and not suited for any scientific exploration. proprietary
SWOT_SIMULATED_NA_CONTINENT_L2_HR_RIVERSP_V1_1.0 SWOT Simulated Level 2 North America Continent High Rate River Vectors Product Version 1.0 POCLOUD STAC Catalog 2022-08-01 2022-08-22 -113, 24, -82, 52 https://cmr.earthdata.nasa.gov/search/concepts/C2263384307-POCLOUD.umm_json This dataset contains a simulated river data product to be provided by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this dataset is a subset for the North America continent. This product is derived from the measurements produced by the main SWOT instrument, the Ka-band Interferometer. They are produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. This product contains two shapefiles: 1) river reaches (approximately 10 km long) identified in the prior river database (PRD); and 2) river nodes (approximately 200 m spacing) identified in prior river database (PRD). Each river reach is divided into a number of nodes. Attributes include water surface elevation, slope, width, and uncertainty estimates. As they are derived from SWOT KaRIn measurements, each granule covers an area that is approximately 128 km wide in the cross-track direction with a 20-km nadir gap. Note that this is a simulated SWOT product and not suited for any scientific exploration. proprietary
Sahel_Water_Bodies_1269_1 Location and Permanency of Water Bodies in the African Sahel Region from 2003-2011 ORNL_CLOUD STAC Catalog 2003-01-01 2011-12-31 -20, 10, 40, 20 https://cmr.earthdata.nasa.gov/search/concepts/C2756239079-ORNL_CLOUD.umm_json This data set provides an estimate of the spatial and temporal extent of surface water at 250-m resolution over nine years (2003-2011) for the African Sahel region (10-20 degrees N) using imagery from the Moderate-resolution Imaging Spectroradiometer (MODIS). Water bodies were identified by a spectral analysis of MODIS vegetation indices with the aim to improve existing regional to global mapping products. This data set can be used to enhance the understanding of Earth system processes, and to support global change studies, agricultural planning, and disease prevention. These data provide a gridded (250-m) estimate of the number of years (during 2003-2011) that a pixel was covered by water. The data are presented in a single netCDF (*.nc) file. proprietary
-Salt_Marsh_Biomass_CONUS_2348_1 Aboveground Biomass Estimates for Salt Marsh for the Contiguous United States, 2020 ORNL_CLOUD STAC Catalog 2020-01-01 2020-12-31 -124.74, 24.52, -66.93, 49 https://cmr.earthdata.nasa.gov/search/concepts/C3126460246-ORNL_CLOUD.umm_json This dataset provides estimates of aboveground biomass (AGB) and salt marsh extent in the contiguous United States for 2020 and includes all coastal watersheds across the contiguous United States at 10-m resolution. Estimates were generated by XGBoost machine learning regression. Salt marsh extent was classified using an ensemble of XGBoost, random forests, and support vector machines, trained with salt marsh location identified with the National Wetland Inventory (NWI). The data are organized by Hydrologic Unit Code (HUC) 6-digit basin. Within each HUC, the spatial extent of salt marsh and its uncertainty were estimated by machine learning and input data from NWI maps, the National Elevation Dataset, along with Sentinel-1 and Sentinel-2 imagery. Estimates were compared to in situ biomass data from salt marshes in Georgia and Massachusetts. The data are provided in cloud-optimized GeoTIFF format. proprietary
Salt_Marsh_Biomass_CONUS_2348_1 Aboveground Biomass Estimates for Salt Marsh for the Contiguous United States, 2020 ALL STAC Catalog 2020-01-01 2020-12-31 -124.74, 24.52, -66.93, 49 https://cmr.earthdata.nasa.gov/search/concepts/C3126460246-ORNL_CLOUD.umm_json This dataset provides estimates of aboveground biomass (AGB) and salt marsh extent in the contiguous United States for 2020 and includes all coastal watersheds across the contiguous United States at 10-m resolution. Estimates were generated by XGBoost machine learning regression. Salt marsh extent was classified using an ensemble of XGBoost, random forests, and support vector machines, trained with salt marsh location identified with the National Wetland Inventory (NWI). The data are organized by Hydrologic Unit Code (HUC) 6-digit basin. Within each HUC, the spatial extent of salt marsh and its uncertainty were estimated by machine learning and input data from NWI maps, the National Elevation Dataset, along with Sentinel-1 and Sentinel-2 imagery. Estimates were compared to in situ biomass data from salt marshes in Georgia and Massachusetts. The data are provided in cloud-optimized GeoTIFF format. proprietary
+Salt_Marsh_Biomass_CONUS_2348_1 Aboveground Biomass Estimates for Salt Marsh for the Contiguous United States, 2020 ORNL_CLOUD STAC Catalog 2020-01-01 2020-12-31 -124.74, 24.52, -66.93, 49 https://cmr.earthdata.nasa.gov/search/concepts/C3126460246-ORNL_CLOUD.umm_json This dataset provides estimates of aboveground biomass (AGB) and salt marsh extent in the contiguous United States for 2020 and includes all coastal watersheds across the contiguous United States at 10-m resolution. Estimates were generated by XGBoost machine learning regression. Salt marsh extent was classified using an ensemble of XGBoost, random forests, and support vector machines, trained with salt marsh location identified with the National Wetland Inventory (NWI). The data are organized by Hydrologic Unit Code (HUC) 6-digit basin. Within each HUC, the spatial extent of salt marsh and its uncertainty were estimated by machine learning and input data from NWI maps, the National Elevation Dataset, along with Sentinel-1 and Sentinel-2 imagery. Estimates were compared to in situ biomass data from salt marshes in Georgia and Massachusetts. The data are provided in cloud-optimized GeoTIFF format. proprietary
San_Diego_Coastal_Project_0 San Diego Coastal Project OB_DAAC STAC Catalog 2004-11-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360636-OB_DAAC.umm_json Measurements near the Southern Californias coast made under the San Diego Coastal Project between 2004 and 2006. proprietary
Sargassum_GOM_0 Importance of pelagic Sargassum to fisheries management in the Northern Gulf of Mexico OB_DAAC STAC Catalog 2017-07-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360637-OB_DAAC.umm_json Measurements made under the Linking habitat to recruitment: evaluating the importance of pelagic Sargassum to fisheries management in the Gulf of Mexico, in the Northern Gulf of Mexico. Collaboration with USF and USM. proprietary
Saskatchewan_Soils_125m_SSA_1346_2 BOREAS Agriculture Canada Central Saskatchewan Vector Soils Data, R1 ORNL_CLOUD STAC Catalog 1980-01-01 2001-02-06 -110.45, 52.86, -99.87, 55.06 https://cmr.earthdata.nasa.gov/search/concepts/C2773240578-ORNL_CLOUD.umm_json This data set provides soil descriptions for forested areas in the BOREAS southern study area (SSA) in central Saskatchewan, Canada provided by Agriculture Canada. The data contain soil code, modifiers, extent, and soil names for the primary, secondary, and tertiary soil units within each polygon. proprietary
Sat_ActiveLayer_Thickness_Maps_1760_1 ABoVE: Active Layer Thickness from Remote Sensing Permafrost Model, Alaska, 2001-2015 ORNL_CLOUD STAC Catalog 2001-01-01 2015-12-31 -179.18, 55.57, -132.58, 70.21 https://cmr.earthdata.nasa.gov/search/concepts/C2143402571-ORNL_CLOUD.umm_json This dataset provides annual estimates of active layer thickness (ALT) at 1 km resolution across Alaska from 2001-2015. The ALT was estimated using a remote sensing-based soil process model incorporating global satellite data from Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and snow cover extent (SCE), and Soil Moisture Active and Passive (SMAP) satellite soil moisture records. The study area covers the majority land area of Alaska except for areas of perennial ice/snow cover or open water. The ALT was defined as the maximum soil thawing depth throughout the year. The mean ALT and mean uncertainty from 2001 to 2015 are also provided. proprietary
Sat_ActiveLayer_Thickness_Maps_1760_1 ABoVE: Active Layer Thickness from Remote Sensing Permafrost Model, Alaska, 2001-2015 ALL STAC Catalog 2001-01-01 2015-12-31 -179.18, 55.57, -132.58, 70.21 https://cmr.earthdata.nasa.gov/search/concepts/C2143402571-ORNL_CLOUD.umm_json This dataset provides annual estimates of active layer thickness (ALT) at 1 km resolution across Alaska from 2001-2015. The ALT was estimated using a remote sensing-based soil process model incorporating global satellite data from Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and snow cover extent (SCE), and Soil Moisture Active and Passive (SMAP) satellite soil moisture records. The study area covers the majority land area of Alaska except for areas of perennial ice/snow cover or open water. The ALT was defined as the maximum soil thawing depth throughout the year. The mean ALT and mean uncertainty from 2001 to 2015 are also provided. proprietary
SatelliteDerived_Forest_Mexico_2320_1 Satellite-Derived Forest Extent Likelihood Map for Mexico ORNL_CLOUD STAC Catalog 2010-01-01 2020-12-31 -120.31, 12.48, -84.29, 34.51 https://cmr.earthdata.nasa.gov/search/concepts/C2905454214-ORNL_CLOUD.umm_json This dataset provides a comparison of forest extent agreement from seven remote sensing-based products across Mexico. These satellite-derived products include European Space Agency 2020 Land Cover Map for Mexico (ESA), Globeland30 2020 (Globeland30), Commission for Environmental Cooperation 2015 Land Cover Map (CEC), Impact Observatory 2020 Land Cover Map (IO), NAIP Trained Mean Percent Cover Map (NEX-TC), Global Land Analysis and Discovery Global 2010 Tree Cover (Hansen-TC), and Global Forest Cover Change Tree Cover 30 m Global (GFCC-TC). All products included data at 10-30 m resolution and represented the state of forest or tree cover from 2010 to 2020. These seven products were chosen based on: a) feedback from end-users in Mexico; b) availability and FAIR (findable, accessible, interoperable, and replicable) data principles; and c) products representing different methodological approaches from global to regional scales. The combined agreement map documents forest cover for each satellite-derived product at 30-m resolution across Mexico. The data are in cloud optimized GeoTIFF format and cover the period 2010-2020. A shapefile is included that outlines Mexico mainland areas. proprietary
-Scambos_PLR1441432 A Low-power, Quick-install Polar Observation System ('AMIGOS-II') for Monitoring Climate-ice-ocean Interactions SCIOPS STAC Catalog 2014-06-01 2015-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214604828-SCIOPS.umm_json The investigators propose to build and test a multi-sensor, automated measurement station for monitoring Arctic and Antarctic ice-ocean environments. The system, based on a previously successful design, will incorporate weather and climate sensors, camera, snow and firn sensors, instruments to measure ice motion, ice and ocean thermal profilers, hydrophone, and salinity sensors. This new system will have two-way communications for real-time data delivery and is designed for rapid deployment by a small field group. proprietary
Scambos_PLR1441432 A Low-power, Quick-install Polar Observation System ('AMIGOS-II') for Monitoring Climate-ice-ocean Interactions ALL STAC Catalog 2014-06-01 2015-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214604828-SCIOPS.umm_json The investigators propose to build and test a multi-sensor, automated measurement station for monitoring Arctic and Antarctic ice-ocean environments. The system, based on a previously successful design, will incorporate weather and climate sensors, camera, snow and firn sensors, instruments to measure ice motion, ice and ocean thermal profilers, hydrophone, and salinity sensors. This new system will have two-way communications for real-time data delivery and is designed for rapid deployment by a small field group. proprietary
+Scambos_PLR1441432 A Low-power, Quick-install Polar Observation System ('AMIGOS-II') for Monitoring Climate-ice-ocean Interactions SCIOPS STAC Catalog 2014-06-01 2015-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214604828-SCIOPS.umm_json The investigators propose to build and test a multi-sensor, automated measurement station for monitoring Arctic and Antarctic ice-ocean environments. The system, based on a previously successful design, will incorporate weather and climate sensors, camera, snow and firn sensors, instruments to measure ice motion, ice and ocean thermal profilers, hydrophone, and salinity sensors. This new system will have two-way communications for real-time data delivery and is designed for rapid deployment by a small field group. proprietary
SciSat-1.Ace.FTS.and.Maestro_4.0 SciSat-1: ACE-FTS and MAESTRO ESA STAC Catalog 2003-08-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336954-ESA.umm_json SCISAT-1 data aim at monitoring and analysing the chemical processes that control the distribution of ozone in the upper troposphere and stratosphere. It provides acquisitions from the 2 instruments MAESTRO and ACE-FTS. • MAESTRO: Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation. Dual-channel optical spectrometer in the spectral region of 285-1030 nm. The objective is to measure ozone, nitrogen dioxide and aerosol/cloud extinction (solar occultation measurements of atmospheric attenuation during satellite sunrise and sunset with the primary objective of assessing the stratospheric ozone budget). Solar occultation spectra are being used for retrieving vertical profiles of temperature and pressure, aerosols, and trace gases (O3, NO2, H2O, OClO, and BrO) involved in middle atmosphere ozone distribution. The use of two overlapping spectrometers (280 - 550 nm, 500 - 1030 nm) improves the stray-light performance. The spectral resolution is about 1-2 nm. • ACE-FTS: Fourier Transform Spectrometer The objective is to measure the vertical distribution of atmospheric trace gases, in particular of the regional polar O3 budget, as well as pressure and temperature (derived from CO2 lines). The instrument is an adapted version of the classical sweeping Michelson interferometer, using an optimized optical layout. The ACE-FTS measurements are recorded every 2 s. This corresponds to a measurement spacing of 2-6 km which decreases at lower altitudes due to refraction. The typical altitude spacing changes with the orbital beta angle. For historical reasons, the retrieved results are interpolated onto a 1 km "grid" using a piecewise quadratic method. For ACE-FTS version 1.0, the results were reported only on the interpolated grid (every 1 km from 0.5 to 149.5 km). For versions 2.2, both the "retrieval" grid and the "1 km" grid profiles are available. SCISAT-1 collection provides ACE-FTS and MAESTRO Level 2 Data. As of today, ACE-FTS products are available in version 4.1, while MAESTRO products are available in version 3.13. proprietary
Scotia_Prince_ferry_0 Scotia Prince ferry dataset OB_DAAC STAC Catalog 1998-06-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360640-OB_DAAC.umm_json Although the ferry that data were collected from no longer operates, longstanding data collection methods continue. The Scotia Prince ferry dataset has been reorganized and added to the GNATS experiment dataset (Gulf of Maine North Atlantic Time Series, 10.5067/SeaBASS/GNATS/DATA001). Please refer to that dataset to find data that were originally listed here. proprietary
Scotts_Fuel_1 Composition and origin of fuel from the hut of explorer Robert Falcon Scott, Cape Evans, Antarctica AU_AADC STAC Catalog 1910-08-15 1912-03-29 166.4, -77.633, 166.4, -77.633 https://cmr.earthdata.nasa.gov/search/concepts/C1214311239-AU_AADC.umm_json As a direct result of the 1989-90 trip as part of ASAC 245, a sample of petrol used by Scott on his ill-fated expedition to the South Pole was obtained. This petrol sample was supplied by the late Garth Varcoe of the New Zealand Antarctic Division following a discussion ensuing from a lecture given whilst on the Icebird when stuck in the ice off Davis. This sample is of intense historical interest and the results of the studies are in the download file. The material in the file reports the studies on the composition of the petrol which was left by the remaining members of Scott's group when they departed their base at Evans Head. The aim of this work was to identify the source of the fuel. A later study will attempt to comment on its suitability as a fuel for use under Antarctic conditions. There are five files on the CD. a)a poster presented at the Australian Organic Geochemistry Conference held in Leura, NSW in February of this year, b)a brief description highlighting some salient points of the poster; presented orally, c)an abstract of this work included in the conference proceedings, d)the conference proceedings and e)manuscript of a full paper submitted for publication in the Journal of Organic Geochemistry, including a table of data Geochemical analyses of the fuel used for the motor driven sledges used by the explorer Robert Falcon Scott for his 1911/1912 quest to the South Pole indicates that it is a straight run gasoline. The presence of bicadinanes, oleanane and other oleanoid angiosperm markers indicate that the feedstock oil was likely to be sourced from terrestrial source rocks of Tertiary age in the South East Asian region. The overall chemical composition of the fuel in its present state indicates that it may have been too heavy for usage in polar regions. proprietary
@@ -14625,20 +14627,20 @@ Skelton_Aeromag_Data Aeromagnetic data centered over Skelton Neve, Antarctica: A
SkySat.Full.Archive.and.New.Tasking_9.0 SkySat Full Archive and New Tasking ESA STAC Catalog 2013-11-13 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1965336955-ESA.umm_json "The SkySat Level 1 Basic Scene, Level 3B Ortho Scene and Level 3B Consolidated full archive and new tasking products are available as part of the Planet imagery offer. The SkySat Basic Scene product is uncalibrated and in a raw digital number format, not corrected for any geometric distortions inherent to the imaging process. Rational Polynomial Coefficients (RPCs) are provided to enable orthorectification by the user. • Basic Panchromatic Scene product – unorthorectified, radiometrically corrected, panchromatic (PAN) imagery. • Basic Panchromatic DN Scene product – unorthorectified, panchromatic (PAN) imagery. • Basic L1A Panchromatic DN Scene product – unorthorectified, pre-super resolution, panchromatic (PAN) imagery. • Basic Analytic Scene product – unorthorectified, radiometrically corrected, 4-band multispectral (BGR-NIR) imagery. • Basic Analytic DN Scene product – unorthorectified, 4-band multispectral (BGR-NIR) imagery. Basic Scene Product Components and Format Product Components and Format • Image File (GeoTIFF format) • Metadata File (JSON format) • Rational Polynomial Coefficients (Text File) • UDM File (GeoTIFF format) Image Configurations • 1-band Panchromatic/Panchromatic DN Image (PAN) • 4-band Analytic/Analytic DN Image (Blue, Green, Red, NIR) Ground Sampling Distance (nadir) • SkySat-1 & -2: 0.86 m (PAN), 1.0 m (MS) • SkySat-3 to -15: 0.65 m (PAN), 0.8 m (MS). 0.72 m (PAN) and 1.0 m (MS) for data acquired prior to 30/06/2020 • SkySat-16 to -21: 0.57 m (PAN), 0.75 m (MS) Geolocation Accuracy <50 m RMSE The SkySat Ortho Scene product is sensor- and geometrically-corrected (using DEMs with a post spacing of 30 – 90 m) and is projected to a cartographic map projection; the accuracy of the product varies from region-to-region based on available GCPs. • Ortho Panchromatic Scene product – orthorectified, radiometrically corrected, panchromatic (PAN) imagery. • Ortho Panchromatic DN Scene product – orthorectified, panchromatic (PAN), uncalibrated digital number imagery. • Ortho Analytic Scene product – orthorectified, 4-band multispectral (BGR-NIR) imagery. Radiometric corrections are applied to correct for any sensor artifacts and transformation to top-of-atmosphere radiance. • Ortho Analytic DN Scene product – orthorectified, 4-band multispectral (BGR-NIR), uncalibrated digital number imagery. Radiometric corrections are applied to correct for any sensor artifacts. • Ortho Pansharpened Multispectral Scene product – orthorectified, pansharpened, 4-band (BGR-NIR) imagery. • Ortho Visual Scene product – orthorectified, pansharpened, colour-corrected (using a colour curve) 3-band (RGB) imagery. Ortho Scene Product Components and Format Product Components and Format • Image File (GeoTIFF format) • Metadata File (JSON format) • Rational Polynomial Coefficients (Text File) • UDM File (GeoTIFF format) Image Configurations • 1-band Panchromatic/Panchromatic DN Image (PAN) • 4-band Analytic/Analytic DN Image (Blue, Green, Red, NIR) • 4-band Pansharpened Multispectral Image (Blue, Green, Red, NIR) • 3-band Pansharpened (Visual) Image (Red, Green, Blue) Orthorectified Pixel Size 50 cm Projection UTM WGS84 Geolocation Accuracy <10 m RMSE The SkySat Ortho Collect product is created by composing SkySat Ortho Scene products along an imaging strip into segments typically unifying ~60 individual SkySat Ortho Scenes, resulting in an image with a footprint of approximately 20 km x 5.9 km. The products may contain artifacts resulting from the composing process, particular offsets in areas of stitched source scenes. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
SkySatESAarchive_8.0 Skysat ESA archive ESA STAC Catalog 2016-02-29 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C2547572338-ESA.umm_json "The SkySat ESA archive collection consists of SkySat products requested by ESA supported projects over their areas of interest around the world and that ESA collected over the years. The dataset regularly grows as ESA collects new products. Two different product types are offered, Ground Sampling Distance at nadir up to 65 cm for panchromatic and up to 0.8m for multi-spectral. EO-SIP Product Type Product Description Content SSC_DEF_SC Basic and Ortho scene Level 1B 4-bands Analytic /DN Basic scene Level 1B 4-bands Panchromatic /DN Basic scene Level 1A 1-band Panchromatic DN Pre Sup resolution Basic scene Level 3B 3-bands Visual Ortho Scene Level 3B 4-bands Pansharpened Multispectral Ortho Scene Level 3B 4-bands Analytic/DN/SR Ortho Scene Level 3B 1-band Panchromatic /DN Ortho Scene SSC_DEF_CO Ortho Collect Visual 3-band Pansharpened Image Multispectral 4-band Pansharpened Image Multispectral 4-band Analytic/DN/SR Image (B, G, R, N) 1-band Panchromatic Image The Basic Scene product is uncalibrated, not radiometrically corrected for atmosphere or for any geometric distortions inherent in the imaging process: Analytic - unorthorectified, radiometrically corrected, multispectral BGRN Analytic DN - unorthorectified, multispectral BGRN Panchromatic - unorthorectified, radiometrically corrected, panchromatic (PAN) Panchromatic DN - unorthorectified, panchromatic (PAN) L1A Panchromatic DN - unorthorectified, pre-super resolution, panchromatic (PAN) The Ortho Scene product is sensor and geometrically corrected, and is projected to a cartographic map projection: Visual - orthorectified, pansharpened, and colour-corrected (using a colour curve) 3-band RGB Imagery Pansharpened Multispectral - orthorectified, pansharpened 4-band BGRN Imagery Analytic SR - orthorectified, multispectral BGRN. Atmospherically corrected Surface Reflectance product. Analytic - orthorectified, multispectral BGRN. Radiometric corrections applied to correct for any sensor artifacts and transformation to top-of-atmosphere radiance. Analytic DN - orthorectified, multispectral BGRN, uncalibrated digital number imagery product Radiometric corrections applied to correct for any sensor artifacts Panchromatic - orthorectified, radiometrically correct, panchromatic (PAN) Panchromatic DN - orthorectified, panchromatic (PAN), uncalibrated digital number imagery product The Ortho Collect product is created by composing SkySat Ortho Scenes along an imaging strip. The product may contain artifacts resulting from the composing process, particular offsets in areas of stitched source scenes. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/SkySat/ available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
Smallholder Cashew Plantations in Benin_1 Smallholder Cashew Plantations in Benin MLHUB STAC Catalog 2020-01-01 2023-01-01 2.4636579, 9.0570625, 2.5618896, 9.1603783 https://cmr.earthdata.nasa.gov/search/concepts/C2781412245-MLHUB.umm_json This dataset contains labels for cashew plantations in a 120 km^2 area in the center of Benin. Each pixel is classified for Well-managed plantation, Poorly-managed plantation, No plantation and other classes. The labels are generated using a combination of ground data collection with a handheld GPS device, and final corrections based on Airbus Pléiades imagery. proprietary
-SnowMeltDuration_PMicrowave_1843_1.1 ABoVE: Passive Microwave-derived Annual Snow Melt Duration Date Maps, 1988-2018 ALL STAC Catalog 1988-02-09 2018-07-20 -180, 51.6, -107.83, 72.41 https://cmr.earthdata.nasa.gov/search/concepts/C2223093928-ORNL_CLOUD.umm_json This dataset provides the annual period of snowpack melting (i.e., snow melt duration, SMD) across northwest Canada; Alaska, U.S.; and parts of far eastern Russia at 6.25 km resolution for the period 1988-2018. SMD is the number of days between the main melt onset date (MMOD) and the last day of seasonal snow cover when the melting of snow is complete. These dates were derived from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). This dataset documents variability in SMD across space and the 31-year temporal period. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies. proprietary
SnowMeltDuration_PMicrowave_1843_1.1 ABoVE: Passive Microwave-derived Annual Snow Melt Duration Date Maps, 1988-2018 ORNL_CLOUD STAC Catalog 1988-02-09 2018-07-20 -180, 51.6, -107.83, 72.41 https://cmr.earthdata.nasa.gov/search/concepts/C2223093928-ORNL_CLOUD.umm_json This dataset provides the annual period of snowpack melting (i.e., snow melt duration, SMD) across northwest Canada; Alaska, U.S.; and parts of far eastern Russia at 6.25 km resolution for the period 1988-2018. SMD is the number of days between the main melt onset date (MMOD) and the last day of seasonal snow cover when the melting of snow is complete. These dates were derived from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). This dataset documents variability in SMD across space and the 31-year temporal period. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies. proprietary
+SnowMeltDuration_PMicrowave_1843_1.1 ABoVE: Passive Microwave-derived Annual Snow Melt Duration Date Maps, 1988-2018 ALL STAC Catalog 1988-02-09 2018-07-20 -180, 51.6, -107.83, 72.41 https://cmr.earthdata.nasa.gov/search/concepts/C2223093928-ORNL_CLOUD.umm_json This dataset provides the annual period of snowpack melting (i.e., snow melt duration, SMD) across northwest Canada; Alaska, U.S.; and parts of far eastern Russia at 6.25 km resolution for the period 1988-2018. SMD is the number of days between the main melt onset date (MMOD) and the last day of seasonal snow cover when the melting of snow is complete. These dates were derived from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). This dataset documents variability in SMD across space and the 31-year temporal period. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies. proprietary
Snow_Cover_Extent_and_Depth_1757_1 ABoVE: High Resolution Cloud-Free Snow Cover Extent and Snow Depth, Alaska, 2001-2017 ALL STAC Catalog 2001-01-01 2017-12-30 -179.18, 55.57, -132.58, 71.42 https://cmr.earthdata.nasa.gov/search/concepts/C2143402490-ORNL_CLOUD.umm_json This dataset provides estimates of maximum snow cover extent (SCE) and snow depth for each 8-day composite period from 2001 to 2017 at 1 km resolution across Alaska. The study area covers the majority land area of Alaska except for areas covered by perennial ice/snow or open water. A downscaling scheme was used in which Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) global reanalysis 0.5 degree snow depth data were interpolated to a finer 1 km spatial grid. In the methods used, the downscaling scheme incorporated MODIS SCE (MOD10A2) to better account for the influence of local topography on the 1km snow distribution patterns. For MODIS cloud-contaminated pixels, persistent and patchy cloud cover conditions were improved by applying an elevation-based spatial filtering algorithm to predict snow occurrence. Cloud-free MODIS SCE data were then used to downscale MERRA-2 snow depth data. For each snow-covered 1 km pixel indicated by the MODIS data, the snow depth was estimated based on the snow depth of the neighboring MERRA-2 0.5 grid cell, with weights predicted using a spatial filter. proprietary
Snow_Cover_Extent_and_Depth_1757_1 ABoVE: High Resolution Cloud-Free Snow Cover Extent and Snow Depth, Alaska, 2001-2017 ORNL_CLOUD STAC Catalog 2001-01-01 2017-12-30 -179.18, 55.57, -132.58, 71.42 https://cmr.earthdata.nasa.gov/search/concepts/C2143402490-ORNL_CLOUD.umm_json This dataset provides estimates of maximum snow cover extent (SCE) and snow depth for each 8-day composite period from 2001 to 2017 at 1 km resolution across Alaska. The study area covers the majority land area of Alaska except for areas covered by perennial ice/snow or open water. A downscaling scheme was used in which Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) global reanalysis 0.5 degree snow depth data were interpolated to a finer 1 km spatial grid. In the methods used, the downscaling scheme incorporated MODIS SCE (MOD10A2) to better account for the influence of local topography on the 1km snow distribution patterns. For MODIS cloud-contaminated pixels, persistent and patchy cloud cover conditions were improved by applying an elevation-based spatial filtering algorithm to predict snow occurrence. Cloud-free MODIS SCE data were then used to downscale MERRA-2 snow depth data. For each snow-covered 1 km pixel indicated by the MODIS data, the snow depth was estimated based on the snow depth of the neighboring MERRA-2 0.5 grid cell, with weights predicted using a spatial filter. proprietary
Snow_Depth_Data_Images_1656_1 Snow Depth, Stratigraphy, and Temperature in Wrangell St Elias NP, Alaska, 2016-2018 ORNL_CLOUD STAC Catalog 2016-09-01 2018-03-20 -143.32, 62.26, -143, 62.39 https://cmr.earthdata.nasa.gov/search/concepts/C2170971586-ORNL_CLOUD.umm_json This dataset includes data from late-March snow surveys and hourly digital camera images from two study areas within the Wrangell St Elias National Park, Alaska. These data comprise snow density, stratigraphy, and temperature profiles obtained by snow pits; and snow depth data obtained from transects between snow pits. Daily snow depths, adjacent to each pit, were derived from hourly camera images of snow stakes placed adjacent to each pit. These data were collected to constrain and validate a physically-based, spatially-distributed snow evolution model used to simulate snow conditions in Dall sheep habitat. The two study areas are both located within the Jacksina Park Unit (JPU). The first study area, surveyed in 2017, included the northern end of Jaeger Mesa and an area near Rambler mine in the North East of the JPU. The second study area, surveyed in 2018, was within the upper watershed of Pass Creek in the North of the JPU. The remote cameras operated from September 2016 to August 2017 on Jaeger Mesa/Rambler Mine and from September 2017 to July 2018 at Pass Creek. proprietary
Snow_Wildlife_Tracks_AK_WA_2188_1 Snow Properties and Wildlife Tracks in Washington and Alaska ORNL_CLOUD STAC Catalog 2021-01-09 2023-03-13 -150.01, 48.05, -117.17, 63.97 https://cmr.earthdata.nasa.gov/search/concepts/C2772851281-ORNL_CLOUD.umm_json This dataset contains three field seasons of snow-wildlife observations conducted at 707 sites from January 2021 to March 2023 in Washington and Alaska, spanning a broad range of snow conditions. Relatively fresh tracks (usually <24 h) of common large mammal predators (bobcats, coyotes, cougars, and wolves) and their ungulate prey (caribou, Dall sheep, moose, mule deer, and white-tailed deer) were investigated to determine how snow affects predator-prey interactions. The track sink depth and dimensions (width and length) of three consecutive footprints were measured from one individual. Age class was recorded for moose based either on visual confirmation of an individual creating snow tracks or based on track dimensions. The ability to differentiate age classes for smaller ungulates was more uncertain, so age classes for deer, caribou, or sheep were not specified. Animal gait was identified using a simple classification scheme. Data also include animal species, snow density, hardness, total ice, surface temperature, and vegetation type. To best capture snow hardness, surface penetrability and hand-hardness were measured throughout the snowpack. The data are provided in comma-separated values (CSV) format. proprietary
Snowmelt_timing_maps_V2_1712_2 Snowmelt Timing Maps Derived from MODIS for North America, Version 2, 2001-2018 ORNL_CLOUD STAC Catalog 2001-01-01 2018-12-31 -180, 10, 0, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2764725108-ORNL_CLOUD.umm_json This data set provides snowmelt timing maps (STMs), cloud interference maps, and a map with the count of calculated snowmelt timing values for North America. The STMs are based on the Moderate Resolution Imaging Spectroradiometer (MODIS) standard 8-day composite snow-cover product MOD10A2 collection 6 for the period 2001-01-01 to 2018-12-31. The STMs were created by conducting a time-series analysis of the MOD10A2 snow maps to identify the DOY of snowmelt on a per-pixel basis. Snowmelt timing (no-snow) was defined as a snow-free reading following two consecutive snow-present readings for a given 500-m pixel. The count of STM values is also reported, which represents the number of years on record in the STMs from 2001-2018. proprietary
-Snowpack_Dall_Sheep_Track_1583_1 ABoVE: Dall Sheep Track Sinking Depths, Snow Depth, Hardness, and Density, 2017 ALL STAC Catalog 2017-03-19 2017-03-22 -143.06, 62.26, -143.01, 62.28 https://cmr.earthdata.nasa.gov/search/concepts/C2162140002-ORNL_CLOUD.umm_json This dataset contains Dall sheep (Ovis dalli dalli) hoof sinking depths in snow tracks, and snow depth, hardness, and density measurements in snow pits adjacent to the tracks. Snow measurements were collected between March 19-22, 2017 at sites on Jaeger Mesa in the Wrangell Mountains (WRST), Alaska. Estimated sheep age classes and track site coordinates are also provided. proprietary
Snowpack_Dall_Sheep_Track_1583_1 ABoVE: Dall Sheep Track Sinking Depths, Snow Depth, Hardness, and Density, 2017 ORNL_CLOUD STAC Catalog 2017-03-19 2017-03-22 -143.06, 62.26, -143.01, 62.28 https://cmr.earthdata.nasa.gov/search/concepts/C2162140002-ORNL_CLOUD.umm_json This dataset contains Dall sheep (Ovis dalli dalli) hoof sinking depths in snow tracks, and snow depth, hardness, and density measurements in snow pits adjacent to the tracks. Snow measurements were collected between March 19-22, 2017 at sites on Jaeger Mesa in the Wrangell Mountains (WRST), Alaska. Estimated sheep age classes and track site coordinates are also provided. proprietary
+Snowpack_Dall_Sheep_Track_1583_1 ABoVE: Dall Sheep Track Sinking Depths, Snow Depth, Hardness, and Density, 2017 ALL STAC Catalog 2017-03-19 2017-03-22 -143.06, 62.26, -143.01, 62.28 https://cmr.earthdata.nasa.gov/search/concepts/C2162140002-ORNL_CLOUD.umm_json This dataset contains Dall sheep (Ovis dalli dalli) hoof sinking depths in snow tracks, and snow depth, hardness, and density measurements in snow pits adjacent to the tracks. Snow measurements were collected between March 19-22, 2017 at sites on Jaeger Mesa in the Wrangell Mountains (WRST), Alaska. Estimated sheep age classes and track site coordinates are also provided. proprietary
SoilResp_HeterotrophicResp_1928_1 Global Gridded 1-km Soil and Soil Heterotrophic Respiration Derived from SRDB v5 ORNL_CLOUD STAC Catalog 1961-01-01 2016-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2345796019-ORNL_CLOUD.umm_json This dataset provides global gridded estimates of annual soil respiration (Rs) and soil heterotrophic respiration (Rh) and associated uncertainties at 1 km resolution. Mean soil respiration was estimated using a quantile regression forest model utilizing data from the global Soil Respiration Database Version 5 (SRDB-V5) and covariates of mean annual temperature, seasonal precipitation, and vegetative cover. The SRDB holds results of field studies of soil respiration from around the globe. A total of 4,115 records from 1,036 studies were selected from SRDB-V5. SRDB-V5 features more soil respiration data published in Russian and Chinese scientific literature for better global spatio-temporal coverage and improved global climate-space representation. These soil respiration records were combined with global meteorological, land cover, and topographic data and then evaluated with variable selection using random forests. The standard deviation and coefficient of variation of Rs are included and were also derived from the same model. Global heterotrophic respiration was calculated from Rs estimates. The data are produced in part from SRDB-V5 inputs that cover the period 1961-2016. proprietary
SoilSCAPE_1339_1 Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA ORNL_CLOUD STAC Catalog 2011-08-03 2019-12-14 -120.99, 31.74, -83.66, 42.3 https://cmr.earthdata.nasa.gov/search/concepts/C2736724942-ORNL_CLOUD.umm_json This data set contains in-situ soil moisture profile and soil temperature data collected at 20-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites in four states (California, Arizona, Oklahoma, and Michigan) in the United States. SoilSCAPE used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data at up to 12 sites over varying durations since August 2011. At its maximum, the network consisted of over 200 wireless sensor installations (nodes), with a range of 6 to 27 nodes per site. The soil moisture sensors (EC-5 and 5-TM from Decagon Devices) were installed at three to four depths, nominally at 5, 20, and 50 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. Temperature sensors were installed at 5 cm depth at six of the sites. Data collection started in August 2011 and continues at eight sites through the present. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional (airborne, e.g. NASA's Airborne Microwave Observation of Subcanopy and Subsurface Mission - AirMOSS) and national (spaceborne, e.g. NASA's Soil Moisture Active Passive - SMAP) scales. proprietary
SoilSCAPE_V2_2049_2 Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, Version 2 ORNL_CLOUD STAC Catalog 2021-12-03 2023-02-03 -110.05, -36.72, 174.62, 37.2 https://cmr.earthdata.nasa.gov/search/concepts/C2736725173-ORNL_CLOUD.umm_json This dataset contains in-situ soil moisture profile and soil temperature data collected at 30-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites since 2021 in the United States and New Zealand. The SoilSCAPE network has used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data over varying durations since 2011. Since 2021, the SoilSCAPE has upgraded the two previously active sites in Arizona and added several new sites in the United States and New Zealand. These new sites typically use the METER Teros-12 soil moisture sensor. At its maximum, the new network consisted of 57 wireless sensor installations (nodes), with a range of 6 to 8 nodes per site. Each SoilSCAPE site contains multiple wireless end-devices (EDs). Each ED supports up to five soil moisture probes typically installed at 5, 10, 20, and 30 cm below the surface. Sites in Arizona have soil moisture probes installed at up to 75 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional and national (e.g. NASA's Cyclone Global Navigation Satellite System - CYGNSS and Soil Moisture Active Passive - SMAP) scales. The data are provided in NetCDF format. proprietary
-Soil_ActiveLayer_Properties_AK_2315_1 ABoVE: Active Layer Soil Characteristics at Selected Sites Across Alaska ALL STAC Catalog 2016-08-09 2018-07-07 -149.53, 63.88, -146.56, 68.56 https://cmr.earthdata.nasa.gov/search/concepts/C2849255421-ORNL_CLOUD.umm_json This dataset provides soil active layer characteristics from nine locations across Alaska. Soil samples were collected in 2016 except for one site which was sampled in 2018. Soil cores were collected from each site using a steel barrel and plastic sample tube attached to a hand drill. At the majority of sites, samples were taken from each end of three 30-m transects (i.e. samples collected at the 0 m and 30 m location of each transect). The entire thawed horizon (active layer) was sampled where possible, and the length of cores varies among sites. Cores were kept frozen until analysis in the lab. Samples were sectioned by horizon (organic and mineral), and the organic horizon was split into subsections so that no section was longer than approximately 10 cm. Coarse roots were removed, dried and weighed. Soils were measured for gravimetric water content, percent soil organic matter (SOM), pH, and bulk density. Locations were selected to investigate fire disturbance, to span the range of permafrost regions from continuous to sporadic, and to cover vegetation types from boreal forests, tussock tundra, upland willow/herbaceous scrub, and lowland fen and wet tundra sites across Alaska. The data are provided in comma-separated values (CSV) format. proprietary
Soil_ActiveLayer_Properties_AK_2315_1 ABoVE: Active Layer Soil Characteristics at Selected Sites Across Alaska ORNL_CLOUD STAC Catalog 2016-08-09 2018-07-07 -149.53, 63.88, -146.56, 68.56 https://cmr.earthdata.nasa.gov/search/concepts/C2849255421-ORNL_CLOUD.umm_json This dataset provides soil active layer characteristics from nine locations across Alaska. Soil samples were collected in 2016 except for one site which was sampled in 2018. Soil cores were collected from each site using a steel barrel and plastic sample tube attached to a hand drill. At the majority of sites, samples were taken from each end of three 30-m transects (i.e. samples collected at the 0 m and 30 m location of each transect). The entire thawed horizon (active layer) was sampled where possible, and the length of cores varies among sites. Cores were kept frozen until analysis in the lab. Samples were sectioned by horizon (organic and mineral), and the organic horizon was split into subsections so that no section was longer than approximately 10 cm. Coarse roots were removed, dried and weighed. Soils were measured for gravimetric water content, percent soil organic matter (SOM), pH, and bulk density. Locations were selected to investigate fire disturbance, to span the range of permafrost regions from continuous to sporadic, and to cover vegetation types from boreal forests, tussock tundra, upland willow/herbaceous scrub, and lowland fen and wet tundra sites across Alaska. The data are provided in comma-separated values (CSV) format. proprietary
+Soil_ActiveLayer_Properties_AK_2315_1 ABoVE: Active Layer Soil Characteristics at Selected Sites Across Alaska ALL STAC Catalog 2016-08-09 2018-07-07 -149.53, 63.88, -146.56, 68.56 https://cmr.earthdata.nasa.gov/search/concepts/C2849255421-ORNL_CLOUD.umm_json This dataset provides soil active layer characteristics from nine locations across Alaska. Soil samples were collected in 2016 except for one site which was sampled in 2018. Soil cores were collected from each site using a steel barrel and plastic sample tube attached to a hand drill. At the majority of sites, samples were taken from each end of three 30-m transects (i.e. samples collected at the 0 m and 30 m location of each transect). The entire thawed horizon (active layer) was sampled where possible, and the length of cores varies among sites. Cores were kept frozen until analysis in the lab. Samples were sectioned by horizon (organic and mineral), and the organic horizon was split into subsections so that no section was longer than approximately 10 cm. Coarse roots were removed, dried and weighed. Soils were measured for gravimetric water content, percent soil organic matter (SOM), pH, and bulk density. Locations were selected to investigate fire disturbance, to span the range of permafrost regions from continuous to sporadic, and to cover vegetation types from boreal forests, tussock tundra, upland willow/herbaceous scrub, and lowland fen and wet tundra sites across Alaska. The data are provided in comma-separated values (CSV) format. proprietary
Soil_Carbon_Flux_Maps_1683_1 Gridded Winter Soil CO2 Flux Estimates for pan-Arctic and Boreal Regions, 2003-2100 ORNL_CLOUD STAC Catalog 1993-01-01 2100-11-30 -180, -84.69, 179.9, 89.98 https://cmr.earthdata.nasa.gov/search/concepts/C2143812328-ORNL_CLOUD.umm_json This dataset provides gridded estimates of soil CO2 flux (g C m-2 d-1) for the winter non-growing season (NGS) across pan-Arctic and Boreal permafrost regions (>49 Deg N), at 25 km spatial resolution. The data are the daily average flux over a monthly period for two climate periods: the baseline climate period represents 2003-2018 and the future climate scenarios period represents 2018-2100 under Representative Concentration Pathways (RCP) 4.5 and 8.5. The data were produced by applying a Boosted Regression Tree machine learning approach to create gridded estimates of emissions based on in situ observations of NGS fluxes provided in a related dataset. The resulting monthly average flux data records can be used to calculate annual NGS soil CO2 flux budgets from 2003-2100. proprietary
Soil_Moisture_Alaska_Alberta_2123_1 Hourly Soil Moisture Logger Data, Alberta and Alaska, 2017-2021 ORNL_CLOUD STAC Catalog 2017-07-24 2021-07-29 -148.81, 56.66, -115.11, 69.63 https://cmr.earthdata.nasa.gov/search/concepts/C2633820284-ORNL_CLOUD.umm_json This dataset includes hourly in-situ soil moisture measurements from data loggers in predominantly organic soils (very low bulk density) at two locations: 1) along the Sag River in Alaska, U.S., and 2) near Red Earth Creek in Alberta, Canada. The dataset also provides soil moisture probe periods, temperature probe readings, as well as calibration coefficients and soil profile measurements used to create per probe calibrations for derived volumetric moisture content. The Campbell Scientific CR200 data loggers used CS625 water content reflectometers and temperature probe 109. Further details to the derivation of the calibrations are provided in a supplementary document. The purpose of the dataset is to provide field measurements that can be used for calibration/validation for satellite-based soil moisture retrieval algorithms. With some interruptions, the dataset exists from July 2017 to July 2021. The data are provided in comma-separated values (CSV) format. proprietary
Soil_Sensors_1 Data collected from in-situ soil sensors placed at Macquarie Island and Casey Station AU_AADC STAC Catalog 2005-01-01 110.52394, -66.28192, 158.9392, -54.498737 https://cmr.earthdata.nasa.gov/search/concepts/C1214313810-AU_AADC.umm_json "Data are collected for the purposes of monitoring on-ground works at Australian Antarctic stations associated with the remediation of petroleum hydrocarbon contaminated soil. Output datasets consist of soil oxygen (%), soil temperature (C), soil moisture content (VWC - Volumetric Water Content %), and aeration manifold pressure as measured by buried sensors (O2, T C, VWC) or manifold instruments (pressure). Sensor types are either: AD590 (temperature C) AD592 (temperature C) Figaro KE25 (% oxygen) Vegetronix VH400 (Volumetric Water Content %) 26PCD (Pressure, kPa) Sensors are attached via instrument cables to Datataker dt80 series loggers, which are housed in waterproof containers mounted on buildings, or inside buildings at Australian Antarctic stations. At the Macquarie Island isthmus, oxygen sensors are attached to buried groundwater monitoring wells (screened PVC tubes, known as mini-piezometers). Pressure sensors are attached to air distribution manifolds (part of an in-situ aeration distribution network), and temperature sensors are buried in the soil profile. Sensor nomenclature is as follows: FF0807/1/O2 (Fuel Farm, 2008 installation, mini-piezometer number 07, Sensor 1, Oxygen sensor) MPH_PS_3 (Main Power House, pressure sensor number 03) Biopiles consist of excavated soil placed in temporary, geo-engineered liner cells. Soil oxygen, soil temperature, and soil moisture content are typically measured at 50 cm height intervals from within the soil piles. Temperature and moisture are also typically measured from within the subgrade and liner materials - common nomenclature for sensor names are as follows: BP1/0.5SS_G11/O2 (Biopile 1, buried 0.5 m in soil profile, location G11, Oxygen sensor) BP1/AGM_G1/T(Biopile 1, Above GeoMembrane, Location G1, Temperature sensor) BP6/AGCL_N1/M (Biopile 6, Above Geosynthetic Clay Liner, Location N1, Moisture sensor) BP6/IGCL_N9/M (Biopile 6, Inside Geosynthetic Clay Liner, Location N9, Moisture sensor) EXT/-30SS_E1/M (External soil location, 30 cm below sediment surface, Sensor 1, Moisture sensor) Permeable Reactive Barrier (PRB's) are permeable gates emplaced within the regolith to treat hydrocarbon contaminated groundwater/meltwater and prevent offsite migration of contaminants (primarily hydrocarbons). The barriers have undergone several design iterations, but have consisted of staged (3 sections) permeable reactive or non-reactive filter media (Granular Activated Carbon, Silica sand, Zeolite, MaxBac (TM), Zeopro (TM), Zero Valent Iron), which are placed in buried galvanised shipping cages. The original PRB (installed 2005/06) is named ""PRB"", the second smaller PRB (named the Upper PRB or ""UPRB"" due to its higher elevation in the ) was installed in 2010/11 to treat contaminated groundwater around the MPH settling tank bund and protected the area cleaned as part of the MPH excavation. From this date, the original PRB has also been referred to as the ""lower PRB"". Sensor nomenclature is as follows: C_MP9/700/T (MiniPiezometer 9, 700 mm below ground surface, Temperature sensor) C_CG3_3/600/02 (Cage 3,Section 3, 600 mm below ground surface, Oxygen sensor) These data are downloaded from the sensors to the Australian Antarctic Division on a daily basis. Data are collected by the sensors every 5-20 minutes. As of 2013-03-04, the following personnel have been involved in the project: Greg Hince (AAD) - Project Manager, Field Remediation (11/12-ongoing). Principle Contact Ian Snape (AAD) - Project Principal (Macquarie Island and Casey Station), Macquarie Island 2008 field team. Geoff Stevens (University of Melbourne) - Project Principal - Casey Lower PRB installation Ben Raymond (AAD) - Calibration and Installation of sensors for Macquarie Island 08/09 field season, maintenance of database and remote troubleshooting of dataloggers. Tim Spedding (ex AAD) - Field Project Manager (08/09-10/11), Macquarie Island 2008 field team Dan Wilkins (AAD) - Datalogger management and system design (2009 onwards), Casey station sensor installation 10/11 and 11/12. John Rayner (ex AAD) - System design - Oxygen sensors. Macquarie Island 2008 field team. Installation of lower PRB (Casey) in 05/06. Lauren Wise (AAD) - Field maintenance and system operation (Macquarie Island, 10/11 and 12/13) Rebecca McWatters (AAD)- Casey Station sensors installation 10/11, 11/12, 12/13 Susan Ferguson (ex AAD) - Macquarie Island 2008 field team, Macquarie Island system maintenance 2009. Brett Quinton (ex AAD) - Macquarie Island system maintenance 2009 Charles Sutherland (AAD contractor/expeditioner) - Macquarie Island system maintenance 12/13 field season Robby Kilpatrick (AAD contractor/expeditioner) - Calibration and Installation of sensors for Macquarie Island 11/12 field season Kathryn Mumford (AAS Project Co-investigator, University of Melbourne) - Installation of lower PRB (Casey) in 05/06. Tom Statham (University of Melbourne, PhD student) - System installation, Casey 10/11 Warren Nichols - Oxygen sensor modifications (resin encasement) Rebecca Miller (AAD contractor/expeditioner) - Calibration and Installation of sensors for Casey EPH biopile - 12/13 Field Season Dan Jones (Queens University, Canada) - Calibration and Installation of sensors for Casey EPH biopile - 12/13 Field Season Various members of AAD Telecommunications Team (on ground troubleshooting and maintenance)" proprietary
@@ -14648,8 +14650,8 @@ Soil_Temperature_Profiles_AK_1767_1 ABoVE: Soil Temperature Profiles, USArray Se
Soil_Temperature_Profiles_AK_1767_1 ABoVE: Soil Temperature Profiles, USArray Seismic Stations, AK and Canada, 2016-2019 ALL STAC Catalog 2016-06-25 2019-08-22 -163.18, 63.89, -134.34, 69.92 https://cmr.earthdata.nasa.gov/search/concepts/C2143402511-ORNL_CLOUD.umm_json This dataset includes soil temperature profile measurements taken at 16 monitoring sites in Alaska, USA, and at one site in Yukon, Canada. The six sites are collocated with seismic stations of the USArray program. The measurement dates and depths vary per site as does measurement frequency (hourly or every 6 hours). Measurements were made from the soil surface to a maximum depth of 1.5 m. Measurements were made from 2016-2018 at two sites, 2017-2019 at four sites, and 2018-2019 at 11 sites using temperature sensors attached to HOBO data loggers. These measurement stations complement existing temperature monitoring networks allowing for better characterization of ground temperatures and permafrost conditions across Alaska. proprietary
Sonoma_County_Forest_AGB_1764_1 CMS: LiDAR Biomass Improved for High Biomass Forests, Sonoma County, CA, USA, 2013 ORNL_CLOUD STAC Catalog 2013-09-01 2013-09-01 -123.54, 38.11, -122.34, 38.85 https://cmr.earthdata.nasa.gov/search/concepts/C2389021440-ORNL_CLOUD.umm_json This data set provides estimates of above-ground woody biomass and uncertainty at 30-m spatial resolution for Sonoma County, California, USA, for the nominal year 2013. Biomass estimates, megagrams of biomass per hectare (Mg/ha), were generated using a combination of airborne LiDAR data and field plot measurements with a parametric modeling approach. The relationship between field estimated and airborne LiDAR estimated aboveground biomass density is represented as a parametric model that predicts biomass as a function of canopy cover and 50th percentile and 90th percentile LiDAR heights at a 30-m resolution. To estimate uncertainty, the biomass model was re-fit 1,000 times through a sampling of the variance-covariance matrix of the fitted parametric model. This produced 1,000 estimates of biomass per pixel. The 5th and 95th percentiles, and the standard deviation of these pixel biomass estimates, were calculated. proprietary
South Africa Crop Type Competition_1 South Africa Crop Type Competition MLHUB STAC Catalog 2020-01-01 2023-01-01 17.818514, -34.1538276, 19.7650866, -30.7480751 https://cmr.earthdata.nasa.gov/search/concepts/C2781412651-MLHUB.umm_json This dataset was produced as part of the [Radiant Earth Spot the Crop Challenge](https://zindi.africa/hackathons/radiant-earth-spot-the-crop-hackathon). The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 and Sentinel-1 satellites. proprietary
-Southern_Boreal_Plot_Attribute_1740_1 ABoVE: Characterization of Burned and Unburned Boreal Forest Stands, SK, Canada, 2016 ALL STAC Catalog 2016-05-30 2016-06-16 -109.17, 54.09, -104.69, 57.36 https://cmr.earthdata.nasa.gov/search/concepts/C2143402623-ORNL_CLOUD.umm_json This dataset provides the results of field measurements and estimates of carbon stocks and combustion rates that characterize burned and unburned southern boreal forest stands near the La Ronge and Weyakwin communities in central Saskatchewan (SK), Canada. Measurements were completed in 2016 at 47 stands that burned in the 2015 Saskatchewan wildfires (Egg, Philion, and Brady) and at 32 unburned stands in comparable adjacent areas. Stands were characterized through field observations and sampling of the vegetative community (i.e., tree species, abundance, and biophysical measurements, stand age, coarse woody debris, history of fires or logging), soils (i.e., soil moisture class, unburned and burned soil organic layer depth, samples for bulk density and carbon analyses), and basic landscape geophysical traits. From these results, the pre-fire carbon stocks and carbon combustion values from both the above- and below-ground pools were estimated using a combination of linear and mixed-effects modeling and were calibrated against carbons stocks from the unburned stands. Estimates of uncertainty were generated for above- and below-ground carbon stocks and combustion values using a Monte Carlo framework paired with classic uncertainty propagation techniques. proprietary
Southern_Boreal_Plot_Attribute_1740_1 ABoVE: Characterization of Burned and Unburned Boreal Forest Stands, SK, Canada, 2016 ORNL_CLOUD STAC Catalog 2016-05-30 2016-06-16 -109.17, 54.09, -104.69, 57.36 https://cmr.earthdata.nasa.gov/search/concepts/C2143402623-ORNL_CLOUD.umm_json This dataset provides the results of field measurements and estimates of carbon stocks and combustion rates that characterize burned and unburned southern boreal forest stands near the La Ronge and Weyakwin communities in central Saskatchewan (SK), Canada. Measurements were completed in 2016 at 47 stands that burned in the 2015 Saskatchewan wildfires (Egg, Philion, and Brady) and at 32 unburned stands in comparable adjacent areas. Stands were characterized through field observations and sampling of the vegetative community (i.e., tree species, abundance, and biophysical measurements, stand age, coarse woody debris, history of fires or logging), soils (i.e., soil moisture class, unburned and burned soil organic layer depth, samples for bulk density and carbon analyses), and basic landscape geophysical traits. From these results, the pre-fire carbon stocks and carbon combustion values from both the above- and below-ground pools were estimated using a combination of linear and mixed-effects modeling and were calibrated against carbons stocks from the unburned stands. Estimates of uncertainty were generated for above- and below-ground carbon stocks and combustion values using a Monte Carlo framework paired with classic uncertainty propagation techniques. proprietary
+Southern_Boreal_Plot_Attribute_1740_1 ABoVE: Characterization of Burned and Unburned Boreal Forest Stands, SK, Canada, 2016 ALL STAC Catalog 2016-05-30 2016-06-16 -109.17, 54.09, -104.69, 57.36 https://cmr.earthdata.nasa.gov/search/concepts/C2143402623-ORNL_CLOUD.umm_json This dataset provides the results of field measurements and estimates of carbon stocks and combustion rates that characterize burned and unburned southern boreal forest stands near the La Ronge and Weyakwin communities in central Saskatchewan (SK), Canada. Measurements were completed in 2016 at 47 stands that burned in the 2015 Saskatchewan wildfires (Egg, Philion, and Brady) and at 32 unburned stands in comparable adjacent areas. Stands were characterized through field observations and sampling of the vegetative community (i.e., tree species, abundance, and biophysical measurements, stand age, coarse woody debris, history of fires or logging), soils (i.e., soil moisture class, unburned and burned soil organic layer depth, samples for bulk density and carbon analyses), and basic landscape geophysical traits. From these results, the pre-fire carbon stocks and carbon combustion values from both the above- and below-ground pools were estimated using a combination of linear and mixed-effects modeling and were calibrated against carbons stocks from the unburned stands. Estimates of uncertainty were generated for above- and below-ground carbon stocks and combustion values using a Monte Carlo framework paired with classic uncertainty propagation techniques. proprietary
Southern_Ocean_Drifter_0 Southern Pacific Ocean drifter measurements in 1996 OB_DAAC STAC Catalog 1996-09-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360666-OB_DAAC.umm_json Measurements taken by a drifter in the Southern Pacific Ocean in 1996. proprietary
Spire.live.and.historical.data_8.0 Spire live and historical data ESA STAC Catalog 2016-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689697-ESA.umm_json "The data collected by Spire from it's 100 satellites launched into Low Earth Orbit (LEO) has a diverse range of applications, from analysis of global trade patterns and commodity flows to aircraft routing to weather forecasting. The data also provides interesting research opportunities on topics as varied as ocean currents and GNSS-based planetary boundary layer height. The following products can be requested: GNSS Polarimetric Radio Occultation (STRATOS) Novel Polarimetric Radio Occultation (PRO) measurements collected by three Spire satellites are available over 15-May-2023 to 30-November-2023. PRO differ from regular RO (described below) in that the H and V polarizations of the signal are available, as opposed to only Right-Handed Circularly Polarized (RHCP) signals in regular RO. The differential phase shift between H and V correlates with the presence of hydrometeors (ice crystals, rain, snow, etc.). When combined, the H and V information provides the same information on atmospheric thermodynamic properties as RO: temperature, humidity, and pressure, based on the signal’s bending angle. Various levels of the products are provided. GNSS Reflectometry (STRATOS) GNSS Reflectometry (GNSS-R) is a technique to measure Earth’s surface properties using reflections of GNSS signals in the form of a bistatic radar. Spire collects two types of GNSS-R data: Near-Nadir incidence LHCP reflections collected by the Spire GNSS-R satellites, and Grazing-Angle GNSS-R (i.e., low elevation angle) RHCP reflections collected by the Spire GNSS-RO satellites. The Near-Nadir GNSS-R collects DDM (Delay Doppler Map) reflectivity measurements. These are used to compute ocean wind / wave conditions and soil moisture over land. The Grazing-Angle GNSS-R collects 50 Hz reflectivity and additionally carrier phase observations. These are used for altimetry and characterization of smooth surfaces (such as ice and inland water). Derived Level 1 and Level 2 products are available, as well as some special Level 0 raw intermediate frequency (IF) data. Historical grazing angle GNSS-R data are available from May 2019 to the present, while near-nadir GNSS-R data are available from December 2020 to the present. Name Temporal coverage Spatial coverage Description Data format and content Application Polarimetric Radio Occultation (PRO) measurements 15-May-2023 to 30-November-2023 Global PRO measurements observe the properties of GNSS signals as they pass through by Earth's atmosphere, similar to regular RO measurements. The polarization state of the signals is recorded separately for H and V polarizations to provide information on the anisotropy of hydrometeors along the propagation path. leoOrb.sp3. This file contains the estimated position, velocity and receiver clock error of a given Spire satellite after processing of the POD observation file PRO measurements add a sensitivity to ice and precipitation content alongside the traditional RO measurements of the atmospheric temperature, pressure, and water vapor. proObs. Level 0 - Raw open loop carrier phase measurements at 50 Hz sampling for both linear polarization components (horizontal and vertical) of the occulted GNSS signal. h(v)(c)atmPhs. Level 1B - Atmospheric excess phase delay computed for each individual linear polarization component (hatmPhs, vatmPhs) and for the combined (“H” + “V”) signal (catmPhs). Also contains values for signal-to-noise ratio, transmitter and receiver positions and open loop model information. polPhs. Level 1C - Combines the information from the hatmPhs and vatmPhs files while removing phase continuities due to phase wrapping and navigation bit modulation. patmPrf. Level 2 - Bending angle, dry refractivity, and dry temperature as a function of mean sea level altitude and impact parameter derived from the “combined” excess phase delay (catmPhs) Near-Nadir GNSS Reflectometry (NN GNSS-R) measurements 25-January-2024 to 24-July-2024 Global Tracks of surface reflections as observed by the near-nadir pointing GNSS-R antennas, based on Delay Doppler Maps (DDMs). gbrRCS.nc. Level 1B - Along-track calibrated bistatic radar cross-sections measured by Spire conventional GNSS-R satellites. NN GNSS-R measurements are used to measure ocean surface winds and characterize land surfaces for applications such as soil moisture, freeze/thaw monitoring, flooding detection, inland water body delineation, sea ice classification, etc. gbrNRCS.nc. Level 1B - Along-track calibrated bistatic and normalized radar cross-sections measured by Spire conventional GNSS-R satellites. gbrSSM.nc. Level 2 - Along-track SNR, reflectivity, and retrievals of soil moisture (and associated uncertainties) and probability of frozen ground. gbrOcn.nc. Level 2 - Along-track retrievals of mean square slope (MSS) of the sea surface, wind speed, sigma0, and associated uncertainties. Grazing angle GNSS Reflectometry (GA GNSS-R) measurements 25-January-2024 to 24-July-2024 Global Tracks of surface reflections as observed by the limb-facing RO antennas, based on open-loop tracking outputs: 50 Hz collections of accumulated I/Q observations. grzRfl.nc. Level 1B - Along-track SNR, reflectivity, phase delay (with respect to an open loop model) and low-level observables and bistatic radar geometries such as receiver, specular reflection, and the transmitter locations. GA GNSS-R measurements are used to 1) characterize land surfaces for applications such as sea ice classification, freeze/thaw monitoring, inland water body detection and delineation, etc., and 2) measure relative altimetry with dm-level precision for inland water bodies, river slopes, sea ice freeboard, etc., but also water vapor characterization from delay based on tropospheric delays. grzIce.nc. Level 2 - Along-track water vs sea ice classification, along with sea ice type classification. grzAlt.nc. Level 2 - Along-track phase-delay, ionosphere-corrected altimetry, tropospheric delay, and ancillary models (mean sea surface, tides). Additionally, the following products (better detailed in the ToA) can be requested but the acceptance is not guaranteed and shall be evaluated on a case-by-case basis: Other STRATOS measurements: profiles of the Earth’s atmosphere and ionosphere, from December 2018 ADS-B Data Stream: monthly subscription to global ADS-B satellite data, available from December 2018 AIS messages: AIS messages observed from Spire satellites (S-AIS) and terrestrial from partner sensor stations (T-AIS), monthly subscription available from June 2016 The products are available as part of the Spire provision with worldwide coverage. All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPIRE-Terms-Of-Applicability.pdf/0dd8b3e8-05fe-3312-6471-a417c6503639 ." proprietary
Stream_GIS_USGS Digital Line Graphs of U.S. Streams for the EPA Clean Air Mapping and Analysis Program (C-MAP) CEOS_EXTRA STAC Catalog 1970-01-01 -127.77, 23.25, -65.71, 48.15 https://cmr.earthdata.nasa.gov/search/concepts/C2231553171-CEOS_EXTRA.umm_json This is a 1:2,000,000 coverage of streams for the conterminous United States. This coverage was intended for use as a background display for the National Water Summary program. The stream layer was extracted from the 1:2,000,000 Digital Line Graph files. Originally, each state was stored as a separate coverage. In this version, the individual state coverages all have been appended. [Summary provided by EPA] proprietary
@@ -15331,11 +15333,11 @@ Tropical Cyclone Wind Estimation Competition_1 Tropical Cyclone Wind Estimation
TundraTransect_VegRefl_Soil_2232_1 Spectral Reflectance and Ancillary Data, Tundra Transect, North Slope, AK, 2000-2022 ORNL_CLOUD STAC Catalog 2000-06-30 2022-08-08 -156.6, 71.32, -156.6, 71.32 https://cmr.earthdata.nasa.gov/search/concepts/C2840820936-ORNL_CLOUD.umm_json This dataset provides visible-near infrared spectral reflectance, descriptions of vegetation cover, surface temperature, the total fraction of absorbed photosynthetically active radiation (fAPAR, 2001 only), permafrost active layer depth, elevation, and soil temperature at 5 cm depth. Measurements were made at every meter along a 100-m transect aligned mainly in an east-west direction, located approximately 300 m southeast of the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML) baseline observatory near Utqiagvik, Alaska. Reflectance measurements were collected at nearly weekly intervals through the growing seasons of 2000 to 2002 to describe characteristics of green-up, peak growth, and senescence. Reflectance measurements were also collected once near peak growth in 2022. Ancillary measurements were collected at intervals through the 2001 and 2002 growing seasons. proprietary
TundraVeg_Reflectance_Soil_CO2_1960_1 Tundra Plant Reflectance, CO2 Exchange, PAM Fluorometry, and Pigments, AK, 2001-2002 ORNL_CLOUD STAC Catalog 2001-06-08 2002-08-16 -157.41, 70.45, -156.6, 71.32 https://cmr.earthdata.nasa.gov/search/concepts/C2262495116-ORNL_CLOUD.umm_json This dataset provides measurements at tundra plots collected near Utqiagvik and Atqasuk, AK, including visible-near infrared spectral reflectance, chamber gas exchange measurements of CO2, pulse amplitude modulated (PAM) fluorometry, chlorophyll pigment contents, along with surface temperature, permafrost active layer depth, and soil temperature at 5 cm, through the growing seasons of 2001 and 2002. At all plots, spectral reflectance was measured using a portable spectrometer configured with a straight fiber optic foreoptic, surface temperatures were measured using a handheld Everest Infrared Thermometer, and thaw depth (or active layer depth) was measured using a metal rod graduated in centimeter intervals. At small plots (~15 cm) at Utqiagvik (referred to as Patch plots) chambers were constructed that enclosed an individual patch to determine photosynthetic rate and estimate respiration rate (made by covering the chamber in a dark cloth). Efficiency using PAM fluorometer, ambient yield estimations, and rapid light curve measurements were taken. Chlorophyll concentration was measured with a portable spectrometer configured as a spectrophotometer. At larger plots (approximately 1 m2) which were part of the International Tundra EXperiment (ITEX plots) at Utqiagvik (referred to as Barrow) and Atqasuk, a sub-sample of five control and five warmed plots at each site were fitted with 0.45 m diameter polyvinyl chloride collars for chamber flux measurements. To determine the total fraction of absorbed photosynthetically active radiation (fAPAR), a series of photosynthetically active radiation (PAR) measurements were made using a custom-made light bar consisting of a linear array of GaAsP sensors mounted within an aluminum U-bar under a white plastic diffuser. In addition, a visual estimate was made of the fraction of standing dead vegetation based on percent cover. The data are provided in comma-separated values (*.csv) format. In addition, photographs of plots and instruments are provided. proprietary
Tundra_Fire_Veg_Plots_1547_1 Arctic Vegetation Plots in Burned and Unburned Tundra, Alaska, 2011-2012 ORNL_CLOUD STAC Catalog 2011-07-14 2012-07-30 -164.69, 65.36, -146.65, 70.09 https://cmr.earthdata.nasa.gov/search/concepts/C2162122251-ORNL_CLOUD.umm_json This dataset provides environmental and vegetation data collected in late June and July of 2011 and of 2012 from study plots located in tundra fire scars and adjacent unburned tundra areas on the Seward Peninsula and the northern foothills of the Brooks Range in Arctic Alaska. The surveys focused on upland tundra settings and provide information on vegetative differences between the burned and unburned sites. The sampling design established a chronosequence of sites that varied in time since last fire to better understand post-fire vegetation successional trajectories. Complete species lists and their cover abundance data are provided for both study areas. Environmental data include the baseline plot descriptive information for vegetation, soils, and site factors. No soil samples were collected. proprietary
-Tundra_Greeness_Temp_Trends_1893_1 ABoVE: Landsat Tundra Greenness and Summer Air Temperatures, Arctic Tundra, 1985-2016 ALL STAC Catalog 1985-07-01 2016-08-31 -180, 31.49, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2143401680-ORNL_CLOUD.umm_json This dataset provides annual tundra greenness and summer air temperatures at a resolution of 50 km over the pan-Arctic tundra biome above 31.5 degrees over the time period 1985 to 2016. Annual tundra greenness was assessed using the maximum Normalized Difference Vegetation Index (NDVImax) derived from surface reflectance measured by sensors on the Landsat satellites. Summer air temperatures were quantified using the Summer Warmth Index (SWI) derived from an ensemble of five global temperature datasets. Tabular data include NDVImax, SWI, and estimates of uncertainty using Monte Carlo simulations at 45,334 vegetated sampling sites. Raster data provide (1) annual SWI from 1985 to 2016; (2) temporal trends in annual NDVImax and SWI from 1985 to 2016 and from 2000 to 2016; and (3) temporal correlations between annual NDVImax - SWI during these two periods. Each raster also includes estimates of uncertainty that were generated using Monte Carlo simulations. This dataset provides a new pan-Arctic product for assessing inter-annual variability in tundra using moderate resolution observations from the Landsat satellites. proprietary
Tundra_Greeness_Temp_Trends_1893_1 ABoVE: Landsat Tundra Greenness and Summer Air Temperatures, Arctic Tundra, 1985-2016 ORNL_CLOUD STAC Catalog 1985-07-01 2016-08-31 -180, 31.49, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2143401680-ORNL_CLOUD.umm_json This dataset provides annual tundra greenness and summer air temperatures at a resolution of 50 km over the pan-Arctic tundra biome above 31.5 degrees over the time period 1985 to 2016. Annual tundra greenness was assessed using the maximum Normalized Difference Vegetation Index (NDVImax) derived from surface reflectance measured by sensors on the Landsat satellites. Summer air temperatures were quantified using the Summer Warmth Index (SWI) derived from an ensemble of five global temperature datasets. Tabular data include NDVImax, SWI, and estimates of uncertainty using Monte Carlo simulations at 45,334 vegetated sampling sites. Raster data provide (1) annual SWI from 1985 to 2016; (2) temporal trends in annual NDVImax and SWI from 1985 to 2016 and from 2000 to 2016; and (3) temporal correlations between annual NDVImax - SWI during these two periods. Each raster also includes estimates of uncertainty that were generated using Monte Carlo simulations. This dataset provides a new pan-Arctic product for assessing inter-annual variability in tundra using moderate resolution observations from the Landsat satellites. proprietary
+Tundra_Greeness_Temp_Trends_1893_1 ABoVE: Landsat Tundra Greenness and Summer Air Temperatures, Arctic Tundra, 1985-2016 ALL STAC Catalog 1985-07-01 2016-08-31 -180, 31.49, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2143401680-ORNL_CLOUD.umm_json This dataset provides annual tundra greenness and summer air temperatures at a resolution of 50 km over the pan-Arctic tundra biome above 31.5 degrees over the time period 1985 to 2016. Annual tundra greenness was assessed using the maximum Normalized Difference Vegetation Index (NDVImax) derived from surface reflectance measured by sensors on the Landsat satellites. Summer air temperatures were quantified using the Summer Warmth Index (SWI) derived from an ensemble of five global temperature datasets. Tabular data include NDVImax, SWI, and estimates of uncertainty using Monte Carlo simulations at 45,334 vegetated sampling sites. Raster data provide (1) annual SWI from 1985 to 2016; (2) temporal trends in annual NDVImax and SWI from 1985 to 2016 and from 2000 to 2016; and (3) temporal correlations between annual NDVImax - SWI during these two periods. Each raster also includes estimates of uncertainty that were generated using Monte Carlo simulations. This dataset provides a new pan-Arctic product for assessing inter-annual variability in tundra using moderate resolution observations from the Landsat satellites. proprietary
Tundra_Leaf_Spectra_2005_1 Tundra Plant Leaf-level Spectral Reflectance and Chlorophyll Fluorescence, 2019-2021 ORNL_CLOUD STAC Catalog 2019-07-19 2021-09-30 -156.6, 64.83, -147.81, 71.31 https://cmr.earthdata.nasa.gov/search/concepts/C2262495547-ORNL_CLOUD.umm_json This dataset provides leaf-level visible-near infrared spectral reflectance, chlorophyll fluorescence spectra, species, plant functional type (PFT), and chlorophyll content of common high latitude plant samples collected near Fairbanks, Utqiagvik, and Toolik, Alaska, U.S., during the summers of 2019, 2020, and 2021. A FluoWat leaf clip was used to measure leaf-level visible-near infrared spectral reflectance and chlorophyll fluorescence spectra. Fluorescence yield (Fyield) was calculated as the ratio of the emitted fluorescence divided by the absorbed radiation for the wavelengths from 400 nm up to the wavelength of the cut off for the FluoWat low pass filter (either 650 or 700 nm). Chlorophyll content of samples was measured using a CCM-300 Chlorophyll Content. The data are provided in comma-separated values (.csv) format. proprietary
-Turbid9_0 2004 Measurements made in the Chesapeake Bay OB_DAAC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360689-OB_DAAC.umm_json Measurements made in the Chesapeake Bay in 2004. proprietary
Turbid9_0 2004 Measurements made in the Chesapeake Bay ALL STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360689-OB_DAAC.umm_json Measurements made in the Chesapeake Bay in 2004. proprietary
+Turbid9_0 2004 Measurements made in the Chesapeake Bay OB_DAAC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360689-OB_DAAC.umm_json Measurements made in the Chesapeake Bay in 2004. proprietary
Turkish_Seas_0 Turkish Seas pigment measurements OB_DAAC STAC Catalog 1997-09-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360690-OB_DAAC.umm_json Chlorophyll-a and pigment measurements made in the seas surrounding Turkey between 1997 and 1999. proprietary
UAEM1LME_002 MISR Level 1B2 Local Mode Ellipsoid Radiance Data subset for the UAE region V002 LARC STAC Catalog 2004-08-02 2004-08-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1627523796-LARC.umm_json Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Local Mode Ellipsoid Radiance Data subset for the UAE region V002 contains the ellipsoid projected TOA parameters for the single local mode scene, resampled to WGS84 ellipsoid. proprietary
UAEM1LMT_002 MISR Level 1B2 Local Mode Terrain Radiance Data subset for the UAE region V002 LARC STAC Catalog 2004-08-02 2004-08-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1627523809-LARC.umm_json Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 1B2 Local Mode Terrain Radiance Data subset for the UAE region V002 contains the terrain-projected TOA radiance for the single local mode scene, resampled at the surface and topographically corrected. proprietary
@@ -15401,8 +15403,8 @@ UAV_Imagery_BigLakeTrail_1834_1 Multispectral Imagery, NDVI, and Terrain Models,
UCLA_DEALIASED_SASS_L3_1 SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (JPL-UCLA-AES) POCLOUD STAC Catalog 1978-07-07 1978-10-11 -180, -70, 180, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2617197672-POCLOUD.umm_json Contains dealiased ocean wind vector components (zonal and meridional) derived from the Seasat-A Scatterometer (SASS) provided on a global 1x1 degree grid. Dealiasing of the SASS data was achieved manually using ship observations in a joint effort between JPL, UCLA and AES. This data set underwent restoration in 1997. Data are provided in ASCII text files at six hour intervals. proprietary
UIUC_SEVERE_TORN A Case Study of the Illinois Severe Weather Outbreak of April 19, 1996 ALL STAC Catalog 1996-04-19 1996-04-20 -90, 35, -80, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1214592920-SCIOPS.umm_json "(Summary adapted from the WW2010 Home Page) April 19, 1996: One of the most memorable tornado outbreaks in Illinois history. During the day, 33 tornadoes touching down as supercells errupted during the afternoon and evening hours. Winds were estimated in excess of 170 mph during some of the stronger tornadoes. One of the strongest passed through nearby Ogden, IL. This case study provides in depth resources related to the April 19th outbreak. The Weather World 2010 offers a large data base of archived images with a close examination of the meteorological features associated with these storms. Images captured from live video footage of selected tornadoes and a summary of the prestorm atmospheric conditions are included. In addition, you will find up close and personal photographs of the damage the twisters left behind. This case study is available via World Wide Web from The Weather World 2010 Home Page. Link to: ""http://ww2010.atmos.uiuc.edu/(Gh)/arch/cases/960419/home.rxml""" proprietary
UIUC_SEVERE_TORN A Case Study of the Illinois Severe Weather Outbreak of April 19, 1996 SCIOPS STAC Catalog 1996-04-19 1996-04-20 -90, 35, -80, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1214592920-SCIOPS.umm_json "(Summary adapted from the WW2010 Home Page) April 19, 1996: One of the most memorable tornado outbreaks in Illinois history. During the day, 33 tornadoes touching down as supercells errupted during the afternoon and evening hours. Winds were estimated in excess of 170 mph during some of the stronger tornadoes. One of the strongest passed through nearby Ogden, IL. This case study provides in depth resources related to the April 19th outbreak. The Weather World 2010 offers a large data base of archived images with a close examination of the meteorological features associated with these storms. Images captured from live video footage of selected tornadoes and a summary of the prestorm atmospheric conditions are included. In addition, you will find up close and personal photographs of the damage the twisters left behind. This case study is available via World Wide Web from The Weather World 2010 Home Page. Link to: ""http://ww2010.atmos.uiuc.edu/(Gh)/arch/cases/960419/home.rxml""" proprietary
-UIUC_SUPER_STORM A Case Study of the March 12-15, 1993 Superstorm via World Wide Web ALL STAC Catalog 1993-03-12 1993-03-15 -125, 25, -65, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1214592913-SCIOPS.umm_json The March 12-15, 1993 superstorm will be remembered as one of the strongest storms to ever strike the Eastern United States. Overall, 270 fatalities were reported with an estimate property damage over $3 billion. Record sea level pressure, low temperatures, and wind gusts were reported by many observation stations. The entire East Coast of the United States from Florida to Maine was affected by this storm. The University of Illinois Weather World 2010 project offers an extensive case study of this major weather event. This study begins with an introduction and is followed by archived surface products and satellite imagery. The surface products (surface analysis) begin at 1200 UTC on March 12, 1993 and end 0900 UTC March 15, 1993. The satellite imagery (visible, infrared, water vapor) begins at 0000 UTC March 12, 1993 and ends 2300 UTC March 15, 1993. This case study is available via World Wide Web from The Weather World 2010 Home Page. Link to: http://ww2010.atmos.uiuc.edu/(Gh)/arch/cases/930312/home.rxml proprietary
UIUC_SUPER_STORM A Case Study of the March 12-15, 1993 Superstorm via World Wide Web SCIOPS STAC Catalog 1993-03-12 1993-03-15 -125, 25, -65, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1214592913-SCIOPS.umm_json The March 12-15, 1993 superstorm will be remembered as one of the strongest storms to ever strike the Eastern United States. Overall, 270 fatalities were reported with an estimate property damage over $3 billion. Record sea level pressure, low temperatures, and wind gusts were reported by many observation stations. The entire East Coast of the United States from Florida to Maine was affected by this storm. The University of Illinois Weather World 2010 project offers an extensive case study of this major weather event. This study begins with an introduction and is followed by archived surface products and satellite imagery. The surface products (surface analysis) begin at 1200 UTC on March 12, 1993 and end 0900 UTC March 15, 1993. The satellite imagery (visible, infrared, water vapor) begins at 0000 UTC March 12, 1993 and ends 2300 UTC March 15, 1993. This case study is available via World Wide Web from The Weather World 2010 Home Page. Link to: http://ww2010.atmos.uiuc.edu/(Gh)/arch/cases/930312/home.rxml proprietary
+UIUC_SUPER_STORM A Case Study of the March 12-15, 1993 Superstorm via World Wide Web ALL STAC Catalog 1993-03-12 1993-03-15 -125, 25, -65, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1214592913-SCIOPS.umm_json The March 12-15, 1993 superstorm will be remembered as one of the strongest storms to ever strike the Eastern United States. Overall, 270 fatalities were reported with an estimate property damage over $3 billion. Record sea level pressure, low temperatures, and wind gusts were reported by many observation stations. The entire East Coast of the United States from Florida to Maine was affected by this storm. The University of Illinois Weather World 2010 project offers an extensive case study of this major weather event. This study begins with an introduction and is followed by archived surface products and satellite imagery. The surface products (surface analysis) begin at 1200 UTC on March 12, 1993 and end 0900 UTC March 15, 1993. The satellite imagery (visible, infrared, water vapor) begins at 0000 UTC March 12, 1993 and ends 2300 UTC March 15, 1993. This case study is available via World Wide Web from The Weather World 2010 Home Page. Link to: http://ww2010.atmos.uiuc.edu/(Gh)/arch/cases/930312/home.rxml proprietary
UKASSEL_GLOBAL_IRRIGATED_AREA A Digital Global Map of Irrigated Areas SCIOPS STAC Catalog 1995-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214608839-SCIOPS.umm_json "For the purpose of global modeling of water use and crop production, a digital global map of irrigated areas was developed. The map depicts the areal percentage of each 0.5 deg. by 0.5 deg grid cell that was equipped for irrigation in 1995. It was derived by combininginformation from large-scale maps with outlines of irrigated areas (one or more countries per map), FAO data on total irrigated area per country in 1995 and national data on total irrigated area per county, drainage basin or federal state. In the documentation of the map, the data and map sources as well as the map generation process is described, and the data uncertainty is discussed. ""http://www.usf.uni-kassel.de/usf/archiv/dokumente/kwws/kwws.4.pdf"" We plan to improve this map in the future. Therefore, comments, information and data that might contribute to this effort are highly welcome." proprietary
UKASSEL_GLOBAL_IRRIGATED_AREA A Digital Global Map of Irrigated Areas ALL STAC Catalog 1995-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214608839-SCIOPS.umm_json "For the purpose of global modeling of water use and crop production, a digital global map of irrigated areas was developed. The map depicts the areal percentage of each 0.5 deg. by 0.5 deg grid cell that was equipped for irrigation in 1995. It was derived by combininginformation from large-scale maps with outlines of irrigated areas (one or more countries per map), FAO data on total irrigated area per country in 1995 and national data on total irrigated area per county, drainage basin or federal state. In the documentation of the map, the data and map sources as well as the map generation process is described, and the data uncertainty is discussed. ""http://www.usf.uni-kassel.de/usf/archiv/dokumente/kwws/kwws.4.pdf"" We plan to improve this map in the future. Therefore, comments, information and data that might contribute to this effort are highly welcome." proprietary
UM0405_26_aerosol_optical Aerosol optical thickness - UM0405_26_aerosol_optical ALL STAC Catalog 2004-12-31 2005-01-25 18, -68, 115, -32 https://cmr.earthdata.nasa.gov/search/concepts/C1221420727-SCIOPS.umm_json The aerosol optical thickness was measured with a sunphotometer. The measurement was conducted only clear sky condition. proprietary
@@ -15411,8 +15413,8 @@ UM0506_26_aerosol_optical Aerosol optical thickness ALL STAC Catalog 2006-01-03
UM0506_26_aerosol_optical Aerosol optical thickness SCIOPS STAC Catalog 2006-01-03 2006-01-30 18, -68, 115, -32 https://cmr.earthdata.nasa.gov/search/concepts/C1214595208-SCIOPS.umm_json The aerosol optical thickness was measured with a sunphotometer. The measurement was conducted only clear sky condition. proprietary
UM0708_25_multi-frequency_acoustic Acoustic data of multi-frequency acoustic system ALL STAC Catalog 2007-12-24 2008-02-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214595173-SCIOPS.umm_json Vertical profiles of volume backscattering strength recorded by multi-frequency acoustic system for estimate size-abundance spectra of small zooplankton. The system was horizontally mounted on CTD frame and the observation was vertically performed from surface to 200 m at 23 stations. proprietary
UM0708_25_multi-frequency_acoustic Acoustic data of multi-frequency acoustic system SCIOPS STAC Catalog 2007-12-24 2008-02-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214595173-SCIOPS.umm_json Vertical profiles of volume backscattering strength recorded by multi-frequency acoustic system for estimate size-abundance spectra of small zooplankton. The system was horizontally mounted on CTD frame and the observation was vertically performed from surface to 200 m at 23 stations. proprietary
-UM0809_33_nano Abundance and composition of nano, picoplankton, microzooplankton ALL STAC Catalog 2009-01-12 2009-01-25 38, -70, 75, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214595104-SCIOPS.umm_json Water samples from 5 depths (0-100 m) were collected by Niskin bottles at 9 stations (L1, L3, L5, L9, L12, L37, L33, Ⅰ-10, Ⅱ-7) off Lützow-Holm Bay during Umitaka-maru cruise (Jan-Feb. 2008). The waters were fixed by 0.2% of lugol's acid solution (500 ml), 0.3% of bouin solution (500 ml) and 20 % of glutaraldehyde (100ml). http://biows.ac.jp/~plankton/um0809-1a.png proprietary
UM0809_33_nano Abundance and composition of nano, picoplankton, microzooplankton SCIOPS STAC Catalog 2009-01-12 2009-01-25 38, -70, 75, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214595104-SCIOPS.umm_json Water samples from 5 depths (0-100 m) were collected by Niskin bottles at 9 stations (L1, L3, L5, L9, L12, L37, L33, Ⅰ-10, Ⅱ-7) off Lützow-Holm Bay during Umitaka-maru cruise (Jan-Feb. 2008). The waters were fixed by 0.2% of lugol's acid solution (500 ml), 0.3% of bouin solution (500 ml) and 20 % of glutaraldehyde (100ml). http://biows.ac.jp/~plankton/um0809-1a.png proprietary
+UM0809_33_nano Abundance and composition of nano, picoplankton, microzooplankton ALL STAC Catalog 2009-01-12 2009-01-25 38, -70, 75, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214595104-SCIOPS.umm_json Water samples from 5 depths (0-100 m) were collected by Niskin bottles at 9 stations (L1, L3, L5, L9, L12, L37, L33, Ⅰ-10, Ⅱ-7) off Lützow-Holm Bay during Umitaka-maru cruise (Jan-Feb. 2008). The waters were fixed by 0.2% of lugol's acid solution (500 ml), 0.3% of bouin solution (500 ml) and 20 % of glutaraldehyde (100ml). http://biows.ac.jp/~plankton/um0809-1a.png proprietary
UMD_GEOL388_0 Measurements from the Atlantic Ocean made by the University of Maryland (UMD) OB_DAAC STAC Catalog 2003-01-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360691-OB_DAAC.umm_json Measurements from the Atlantic Ocean made by the University of Maryland between New England, Bermuda, and Brazil in 2003. proprietary
UNEP_GRID_SF_AFRICA_third version Africa Population Distribution Database and Administrative Units from UNEP/GRID-Sioux Falls ALL STAC Catalog 1960-01-01 1990-12-31 -18, -35, 52, 35 https://cmr.earthdata.nasa.gov/search/concepts/C2232848311-CEOS_EXTRA.umm_json The African administrative boundaries and population database is part of an ongoing effort to improve global, spatially referenced demographic data holdings. Such databases are useful for a variety of applications including strategic-level agricultural research and applications in the analysis of the human dimensions of global change This documentation describes the third version of a database of administrative units with associated population figures for Africa. The first version was compiled for UNEP's Global Desertification Atlas (UNEP 1992, Deichmann and Eklundh 1991), while the second version represented an update and expansion of this first product (Deichmann 1994, WRI 1995). The work discussed in the following paragraphs is also related to NCGIA activities to produce a global database of subnational population estimates (Tobler et al. 1995), and an improved database for the Asian continent (Deichmann 1996a). The new version for Africa provides considerably more detail: more than 4700 administrative units, compared to about 800 in the first and 2200 in the second version. In addition, for each of these units a population estimate was compiled for 1960, 70, 80 and 90 which provides an indication of past population dynamics in Africa. proprietary
UNEP_GRID_SF_AFRICA_third version Africa Population Distribution Database and Administrative Units from UNEP/GRID-Sioux Falls CEOS_EXTRA STAC Catalog 1960-01-01 1990-12-31 -18, -35, 52, 35 https://cmr.earthdata.nasa.gov/search/concepts/C2232848311-CEOS_EXTRA.umm_json The African administrative boundaries and population database is part of an ongoing effort to improve global, spatially referenced demographic data holdings. Such databases are useful for a variety of applications including strategic-level agricultural research and applications in the analysis of the human dimensions of global change This documentation describes the third version of a database of administrative units with associated population figures for Africa. The first version was compiled for UNEP's Global Desertification Atlas (UNEP 1992, Deichmann and Eklundh 1991), while the second version represented an update and expansion of this first product (Deichmann 1994, WRI 1995). The work discussed in the following paragraphs is also related to NCGIA activities to produce a global database of subnational population estimates (Tobler et al. 1995), and an improved database for the Asian continent (Deichmann 1996a). The new version for Africa provides considerably more detail: more than 4700 administrative units, compared to about 800 in the first and 2200 in the second version. In addition, for each of these units a population estimate was compiled for 1960, 70, 80 and 90 which provides an indication of past population dynamics in Africa. proprietary
@@ -15428,8 +15430,8 @@ USAP-0944266 Climate, Ice Dynamics and Biology using a Deep Ice Core from the We
USAP-0944348 Climate, Ice Dynamics and Biology using a Deep Ice Core from the West Antarctic Ice Sheet Ice Divide AMD_USAPDC STAC Catalog 2010-08-01 2015-07-31 -112.1115, -79.481, -112.1115, -79.481 https://cmr.earthdata.nasa.gov/search/concepts/C2532070599-AMD_USAPDC.umm_json This award supports renewal of funding of the WAIS Divide Science Coordination Office (SCO). The Science Coordination Office (SCO) was established to represent the research community and facilitates the project by working with support organizations responsible for logistics, drilling, and core curation. During the last five years, 26 projects have been individually funded to work on this effort and 1,511 m of the total 3,470 m of ice at the site has been collected. This proposal seeks funding to continue the SCO and related field operations needed to complete the WAIS Divide ice core project. Tasks for the SCO during the second five years include planning and oversight of logistics, drilling, and core curation; coordinating research activities in the field; assisting in curation of the core in the field; allocating samples to individual projects; coordinating the sampling effort; collecting, archiving, and distributing data and other information about the project; hosting an annual science meeting; and facilitating collaborative efforts among the research groups. The intellectual merit of the WAIS Divide project is to better predict how human-caused increases in greenhouse gases will alter climate requires an improved understanding of how previous natural changes in greenhouse gases influenced climate in the past. Information on previous climate changes is used to validate the physics and results of climate models that are used to predict future climate. Antarctic ice cores are the only source of samples of the paleo-atmosphere that can be used to determine previous concentrations of carbon dioxide. Ice cores also contain records of other components of the climate system such as the paleo air and ocean temperature, atmospheric loading of aerosols, and indicators of atmospheric transport. The WAIS Divide ice core project has been designed to obtain the best possible record of greenhouse gases during the last glacial cycle (last ~100,000 years). The site was selected because it has the best balance of high annual snowfall (23 cm of ice equivalent/year), low dust Antarctic ice that does not compromise the carbon dioxide record, and favorable glaciology. The main science objectives of the project are to investigate climate forcing by greenhouse gases, initiation of climate changes, stability of the West Antarctic Ice Sheet, and cryobiology in the ice core. The project has numerous broader impacts. An established provider of educational material (Teachers' Domain) will develop and distribute web-based resources related to the project and climate change for use in K-12 classrooms. These resources will consist of video and interactive graphics that explain how and why ice cores are collected, and what they tell us about future climate change. Members of the national media will be included in the field team and the SCO will assist in presenting information to the general public. Video of the project will be collected and made available for general use. Finally, an opportunity will be created for cryosphere students and early career scientists to participate in field activities and core analysis. An ice core archive will be available for future projects and scientific discoveries from the project can be used by policy makers to make informed decisions. proprietary
USAP-1043471 A Study of Atmospheric Dust in the WAIS Divide Ice Core Based on Sr-Nd-Pb-He Isotopes AMD_USAPDC STAC Catalog 2011-08-01 2015-07-31 -112.5, -79.5, -112.086, -79.468 https://cmr.earthdata.nasa.gov/search/concepts/C2532071870-AMD_USAPDC.umm_json This award supports a project to obtain the first set of isotopic-based provenance data from the WAIS divide ice core. A lack of data from the WAIS prevents even a basic knowledge of whether different sources of dust blew around the Pacific and Atlantic sectors of the southern latitudes. Precise isotopic measurements on dust in the new WAIS ice divide core are specifically warranted because the data will be synergistically integrated with other high frequency proxies, such as dust concentration and flux, and carbon dioxide, for example. Higher resolution proxies will bridge gaps between our observations on the same well-dated, well-preserved core. The intellectual merit of the project is that the proposed analyses will contribute to the WAIS Divide Project science themes. Whether an active driver or passive recorder, dust is one of the most important but least understood components of regional and global climate. Collaborative and expert discussion with dust-climate modelers will lead to an important progression in understanding of dust and past atmospheric circulation patterns and climate around the southern latitudes, and help to exclude unlikely air trajectories to the ice sheets. The project will provide data to help evaluate models that simulate the dust patterns and cycle and the relative importance of changes in the sources, air trajectories and transport processes, and deposition to the ice sheet under different climate states. The results will be of broad interest to a range of disciplines beyond those directly associated with the WAIS ice core project, including the paleoceanography and dust- paleoclimatology communities. The broader impacts of the project include infrastructure and professional development, as the proposed research will initiate collaborations between LDEO and other WAIS scientists and modelers with expertise in climate and dust. Most of the researchers are still in the early phase of their careers and hence the project will facilitate long-term relationships. This includes a graduate student from UMaine, an undergraduate student from Columbia University who will be involved in lab work, in addition to a LDEO Postdoctoral scientist, and possibly an additional student involved in the international project PIRE-ICETRICS. The proposed research will broaden the scientific outlooks of three PIs, who come to Antarctic ice core science from a variety of other terrestrial and marine geology perspectives. Outreach activities include interaction with the science writers of the Columbia's Earth Institute for news releases and associated blog websites, public speaking, and involvement in an arts/science initiative between New York City's arts and science communities to bridge the gap between scientific knowledge and public perception. proprietary
USAP-1043471 A Study of Atmospheric Dust in the WAIS Divide Ice Core Based on Sr-Nd-Pb-He Isotopes ALL STAC Catalog 2011-08-01 2015-07-31 -112.5, -79.5, -112.086, -79.468 https://cmr.earthdata.nasa.gov/search/concepts/C2532071870-AMD_USAPDC.umm_json This award supports a project to obtain the first set of isotopic-based provenance data from the WAIS divide ice core. A lack of data from the WAIS prevents even a basic knowledge of whether different sources of dust blew around the Pacific and Atlantic sectors of the southern latitudes. Precise isotopic measurements on dust in the new WAIS ice divide core are specifically warranted because the data will be synergistically integrated with other high frequency proxies, such as dust concentration and flux, and carbon dioxide, for example. Higher resolution proxies will bridge gaps between our observations on the same well-dated, well-preserved core. The intellectual merit of the project is that the proposed analyses will contribute to the WAIS Divide Project science themes. Whether an active driver or passive recorder, dust is one of the most important but least understood components of regional and global climate. Collaborative and expert discussion with dust-climate modelers will lead to an important progression in understanding of dust and past atmospheric circulation patterns and climate around the southern latitudes, and help to exclude unlikely air trajectories to the ice sheets. The project will provide data to help evaluate models that simulate the dust patterns and cycle and the relative importance of changes in the sources, air trajectories and transport processes, and deposition to the ice sheet under different climate states. The results will be of broad interest to a range of disciplines beyond those directly associated with the WAIS ice core project, including the paleoceanography and dust- paleoclimatology communities. The broader impacts of the project include infrastructure and professional development, as the proposed research will initiate collaborations between LDEO and other WAIS scientists and modelers with expertise in climate and dust. Most of the researchers are still in the early phase of their careers and hence the project will facilitate long-term relationships. This includes a graduate student from UMaine, an undergraduate student from Columbia University who will be involved in lab work, in addition to a LDEO Postdoctoral scientist, and possibly an additional student involved in the international project PIRE-ICETRICS. The proposed research will broaden the scientific outlooks of three PIs, who come to Antarctic ice core science from a variety of other terrestrial and marine geology perspectives. Outreach activities include interaction with the science writers of the Columbia's Earth Institute for news releases and associated blog websites, public speaking, and involvement in an arts/science initiative between New York City's arts and science communities to bridge the gap between scientific knowledge and public perception. proprietary
-USAP-1043623_1 Air-Sea Fluxes of Momentum, Heat, and Carbon Dioxide at High Wind Speeds in the Southern Ocean ALL STAC Catalog 2011-06-15 2015-05-31 117.5, -67.4, 146, -47 https://cmr.earthdata.nasa.gov/search/concepts/C2532072248-AMD_USAPDC.umm_json Accurate parameterizations of the air-sea fluxes of CO2 into the Southern Ocean, in particular at high wind velocity, are needed to better assess how projections of global climate warming in a windier world could affect the ocean carbon uptake, and alter the ocean heat budget at high latitudes. Air-sea fluxes of momentum, sensible and latent heat (water vapor) and carbon dioxide (CO2) are to be measured continuously underway on cruises using micrometeorological eddy covariance techniques adapted to ship-board use. The measured gas transfer velocity (K) is then to be related to other parameters known to affect air-sea-fluxes. A stated goal of this work is the collection of a set of direct air-sea flux measurements at high wind speeds, conditions where parameterization of the relationship of gas exchange to wind-speed remains contentious. The studies will be carried out at sites in the Southern Ocean using the USAP RV Nathaniel B Palmer as measurment platform. Co-located pCO2 data, to be used in the overall analysis and enabling internal consistency checks, are being collected from existing underway systems aboard the USAP research vessel under other NSF awards. proprietary
USAP-1043623_1 Air-Sea Fluxes of Momentum, Heat, and Carbon Dioxide at High Wind Speeds in the Southern Ocean AMD_USAPDC STAC Catalog 2011-06-15 2015-05-31 117.5, -67.4, 146, -47 https://cmr.earthdata.nasa.gov/search/concepts/C2532072248-AMD_USAPDC.umm_json Accurate parameterizations of the air-sea fluxes of CO2 into the Southern Ocean, in particular at high wind velocity, are needed to better assess how projections of global climate warming in a windier world could affect the ocean carbon uptake, and alter the ocean heat budget at high latitudes. Air-sea fluxes of momentum, sensible and latent heat (water vapor) and carbon dioxide (CO2) are to be measured continuously underway on cruises using micrometeorological eddy covariance techniques adapted to ship-board use. The measured gas transfer velocity (K) is then to be related to other parameters known to affect air-sea-fluxes. A stated goal of this work is the collection of a set of direct air-sea flux measurements at high wind speeds, conditions where parameterization of the relationship of gas exchange to wind-speed remains contentious. The studies will be carried out at sites in the Southern Ocean using the USAP RV Nathaniel B Palmer as measurment platform. Co-located pCO2 data, to be used in the overall analysis and enabling internal consistency checks, are being collected from existing underway systems aboard the USAP research vessel under other NSF awards. proprietary
+USAP-1043623_1 Air-Sea Fluxes of Momentum, Heat, and Carbon Dioxide at High Wind Speeds in the Southern Ocean ALL STAC Catalog 2011-06-15 2015-05-31 117.5, -67.4, 146, -47 https://cmr.earthdata.nasa.gov/search/concepts/C2532072248-AMD_USAPDC.umm_json Accurate parameterizations of the air-sea fluxes of CO2 into the Southern Ocean, in particular at high wind velocity, are needed to better assess how projections of global climate warming in a windier world could affect the ocean carbon uptake, and alter the ocean heat budget at high latitudes. Air-sea fluxes of momentum, sensible and latent heat (water vapor) and carbon dioxide (CO2) are to be measured continuously underway on cruises using micrometeorological eddy covariance techniques adapted to ship-board use. The measured gas transfer velocity (K) is then to be related to other parameters known to affect air-sea-fluxes. A stated goal of this work is the collection of a set of direct air-sea flux measurements at high wind speeds, conditions where parameterization of the relationship of gas exchange to wind-speed remains contentious. The studies will be carried out at sites in the Southern Ocean using the USAP RV Nathaniel B Palmer as measurment platform. Co-located pCO2 data, to be used in the overall analysis and enabling internal consistency checks, are being collected from existing underway systems aboard the USAP research vessel under other NSF awards. proprietary
USAP-1056396_1 CAREER: Protist Nutritional Strategies in Permanently Stratified Antarctic Lakes AMD_USAPDC STAC Catalog 2011-05-01 2016-04-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532071892-AMD_USAPDC.umm_json This project supported an integrated research and education program in the fields of polar biology and environmental microbiology, focusing on single-celled eukaryotes (protists) in high latitude ice-covered Antarctic lakes systems. Protists play important roles in energy flow and material cycling, and act as both primary producers (fixing inorganic carbon by photosynthesis) and consumers (preying on bacteria by phagotrophic digestion). The McMurdo Dry Valleys (MDV) located in Victoria Land, Antarctica, harbor microbial communities which are isolated in the unique aquatic ecosystem of perennially ice-capped lakes. The project studied: (1) the impact of permanent biogeochemical gradients on protist trophic strategy, (2) the effect of major abiotic drivers (light and nutrients) on the distribution of two key mixotrophic and photoautotrophic protist species, and (3) the effect of episodic nutrient pulses on mixotroph communities in high latitude (ultraoligotrophic) MDV lakes versus low latitude (eutrophic) watersheds. Sampling dates: February 4 – April 10, 2008; November 11- 28, 2012; December 12, 2012 Sampling locations/depths: East Lobe Lake Bonney/5m, 10m, 13m, 15m, 20m, 25m, 30m West Lobe Lake Bonney/5m, 10m, 13m, 15m, 20m, 25m, 30m Lake Fryxell/5m, 7m, 9m, 11m, 12m, 15m Lake Vanda/10m, 20m, 30m, 40m, 50m, 60m, 70m, 75m, 80m Two kinds of metadata from this project are available: 1) DNA sequence data – DNA was extracted from filtered lake water (1-2L) collected from sampling locations and dates reported above. Environmental DNA was PCR-amplified using primers specific for the following genes: 16S rRNA, 18S rRNA, rbcL, cbbM, nifJ, psbA. Genes were sequenced on an Applied Biosystems DNA analyzer or an Illumina MiSeq or HiSeq instruments. All DNA sequences from this project are available via GenBank. 2) Limnological metadata - Limnological data was collected from sampling locations and dates reported above. Data includes PAR, conductivity, temperature, Chlorophyll a, and macronutrients and is available via the McMurdo Dry Valleys LTER Data Center. proprietary
USAP-1141939 Antarctic Cloud Physics: Fundamental Observations from Ross Island AMD_USAPDC STAC Catalog 2012-08-15 2015-07-31 -167.0365, -77.57, -166.31, -77.5203 https://cmr.earthdata.nasa.gov/search/concepts/C2532071883-AMD_USAPDC.umm_json Antarctic clouds constitute an important parameter of the surface radiation budget and thus play a significant role in Antarctic climate and climate change. The variability in, and long term trends of, cloud optical and microphysical properties are therefore fundamental in parameterizing the mixed phase (water-snow-ice) coastal Antarctic stratiform clouds experienced around the continent. Using a spectoradiometer that covers the wavelength range of 350 to 2200nm, the downwelled spectral irradiance at the earth surface (Ross Island) will be used to retrieve the optical depth, thermodynamic phase, liquid water droplet effective radius, and ice-cloud effective particle size of overhead clouds, at hourly intervals and for an austral summer season (Oct-March). Based on the very limited data sets that exist for the maritime Antarctic, expectations are that Ross Island (Lat 78 S) should exhibit clouds with: a) An abundance of supercooled liquid water, and related mixed-phase cloud processes b) Cloud nucleation from year round biogenic and oceanic sources, in an otherwise pristine environment c) Simple cloud geometries of predominantly stratiform cloud decks Increased understanding of the cloud properties in the region of the main USAP base, McMurdo station is also relevant to operational weather forecasting relevant to aviation. A range of educational and outreach activities are associate with the project, including provision of workshops for high school teachers will be carried out. proprietary
USAP-1142084_1 Applying High-resolution GPS Tracking to Characterize Sensory Foraging Strategies of the Black-browed Albatross, a Top Predator of the Southern Ocean Ecosystem AMD_USAPDC STAC Catalog 2012-08-15 2015-07-31 40, -60, 100, -25 https://cmr.earthdata.nasa.gov/search/concepts/C2532071897-AMD_USAPDC.umm_json "We collected GPS tracks and stomach temperature records from Blackbrowed Albatross from a breeding colony at ""Canon des Sourcils Noirs"" on Kerguelen Island for the purpose of analyzing their flight patterns with regard to foraging events. We found that most birds regurgitated their stomach temperature pill transmitters early on in their trip. The GPS tracks do show their overall foraging flight patterns and include events that are characteristic of olfactory foraging such as upwind turns and zigzagging flight." proprietary
@@ -15450,11 +15452,11 @@ USAP-1542778 Climate History and Flow Processes from Physical Analyses of the SP
USAP-1543383_1 Antarctic Fish and MicroRNA Control of Development and Physiology AMD_USAPDC STAC Catalog 2016-09-01 2019-08-31 -66, -66, -58, -62 https://cmr.earthdata.nasa.gov/search/concepts/C2532072220-AMD_USAPDC.umm_json microRNAs (miRNAs) are key post-transcriptional regulators of gene expression that modulate development and physiology in temperate animals. Although miRNAs act by binding to messenger RNAs (mRNAs), a process that is strongly sensitive to temperature, miRNAs have yet not been studied in Antarctic animals, including Notothenioid fish, which dominate the Southern Ocean. This project will compare miRNA regulation in 1) Antarctic vs. temperate fish to learn the roles of miRNA regulation in adaptation to constant cold; and in 2) bottom-dwelling, dense-boned, red-blooded Nototheniods vs. high buoyancy, osteopenic, white-blooded icefish to understand miRNA regulation in specialized organs after the evolution of the loss of hemoglobin genes and red blood cells, the origin of enlarged heart and vasculature, and the evolution of increased buoyancy, which arose by decreased bone mineralization and increased lipid deposition. Aim 1 is to test the hypothesis that Antarctic fish evolved miRNA-related genome specializations in response to constant cold. The project will compare four Antarctic Notothenioid species to two temperate Notothenioids and two temperate laboratory species to test the hypotheses that (a) Antarctic fish evolved miRNA genome repertoires by loss of ancestral genes and/or gain of new genes, (b) express miRNAs that are involved in cold tolerance, and (c) respond to temperature change by changing miRNA gene expression. Aim 2 is to test the hypothesis that the evolution of icefish from red-blooded bottom-dwelling ancestors was accompanied by an altered miRNA genomic repertoire, sequence, and/or expression. The project will test the hypotheses that (a) miRNAs in icefish evolved in sequence and/or in expression in icefish specializations, including head kidney (origin of red blood cells); heart (changes in vascular system), cranium and pectoral girdle (reduced bone mineral density); and skeletal muscle (lipid deposition), and (b) miRNAs that evolved in icefish specializations had ancestral functions related to their derived roles in icefish, as determined by functional tests of zebrafish orthologs of icefish miRNAs in developing zebrafish. The program will isolate, sequence, and determine the expression of miRNAs and mRNAs using high-throughput transcriptomics and novel software. Results will show how the microRNA system evolves in vertebrate animals pushed to physiological extremes and provide insights into the prospects of key species in the most rapidly warming part of the globe. proprietary
USAP-1543498_1 A Full Lifecycle Approach to Understanding Adélie Penguin Response to Changing Pack Ice Conditions in the Ross Sea AMD_USAPDC STAC Catalog 2016-06-01 165, -78, -150, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532074621-AMD_USAPDC.umm_json "The Ross Sea region of the Southern Ocean is experiencing growing sea ice cover in both extent and duration. These trends contrast those of the well-studied, western Antarctic Peninsula area, where sea ice has been disappearing. Unlike the latter, little is known about how expanding sea ice coverage might affect the regional Antarctic marine ecosystem. This project aims to better understand some of the potential effects of the changing ice conditions on the marine ecosystem using the widely-recognized indicator species - the Adélie Penguin. A four-year effort will build on previous results spanning 19 seasons at Ross Island to explore how successes or failures in each part of the penguin's annual cycle are effected by ice conditions and how these carry over to the next annual recruitment cycle, especially with respect to the penguin's condition upon arrival in the spring. Education and public outreach activities will continually be promoted through the PenguinCam and PenguinScience websites (sites with greater than 1 million hits a month) and ""NestCheck"" (a site that is logged-on by >300 classrooms annually that allows students to follow penguin families in their breeding efforts). To encourage students in pursuing educational and career pathways in the Science Technology Engineering and Math fields, the project will also provide stories from the field in a Penguin Journal, develop classroom-ready activities aligned with New Generation Science Standards, increase the availability of instructional presentations as powerpoint files and short webisodes. The project will provide additional outreach activities through local, state and national speaking engagements about penguins, Antarctic science and climate change. The annual outreach efforts are aimed at reaching over 15,000 students through the website, 300 teachers through presentations and workshops, and 500 persons in the general public. The project also will train four interns (undergraduate and graduate level), two post-doctoral researchers, and a science writer/photographer.
The project will accomplish three major goals, all of which relate to how Adélie Penguins adapt to, or cope with environmental change. Specifically the project seeks to determine 1) how changing winter sea ice conditions in the Ross Sea region affect penguin migration, behavior and survival and alter the carry-over effects (COEs) to subsequent reproduction; 2) the interplay between extrinsic and intrinsic factors influencing COEs over multiple years of an individual's lifetime; and 3) how local environmental change may affect population change via impacts to nesting habitat, interacting with individual quality and COEs. Retrospective analyses will be conducted using 19 years of colony based data and collect additional information on individually marked, known-age and known-history penguins, from new recruits to possibly senescent individuals. Four years of new information will be gained from efforts based at two colonies (Cape Royds and Crozier), using radio frequency identification tags to automatically collect data on breeding and foraging effort of marked, known-history birds to explore penguin response to resource availability within the colony as well as between colonies (mates, nesting material, habitat availability). Additional geolocation/time-depth recorders will be used to investigate travels and foraging during winter of these birds. The combined efforts will allow an assessment of the effects of penguin behavior/success in one season on its behavior in the next (e.g. how does winter behavior affect arrival time and body condition on subsequent breeding). It is at the individual level that penguins are responding successfully, or not, to ongoing marine habitat change in the Ross Sea region." proprietary
USAP-1543498_1 A Full Lifecycle Approach to Understanding Adélie Penguin Response to Changing Pack Ice Conditions in the Ross Sea ALL STAC Catalog 2016-06-01 165, -78, -150, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532074621-AMD_USAPDC.umm_json "The Ross Sea region of the Southern Ocean is experiencing growing sea ice cover in both extent and duration. These trends contrast those of the well-studied, western Antarctic Peninsula area, where sea ice has been disappearing. Unlike the latter, little is known about how expanding sea ice coverage might affect the regional Antarctic marine ecosystem. This project aims to better understand some of the potential effects of the changing ice conditions on the marine ecosystem using the widely-recognized indicator species - the Adélie Penguin. A four-year effort will build on previous results spanning 19 seasons at Ross Island to explore how successes or failures in each part of the penguin's annual cycle are effected by ice conditions and how these carry over to the next annual recruitment cycle, especially with respect to the penguin's condition upon arrival in the spring. Education and public outreach activities will continually be promoted through the PenguinCam and PenguinScience websites (sites with greater than 1 million hits a month) and ""NestCheck"" (a site that is logged-on by >300 classrooms annually that allows students to follow penguin families in their breeding efforts). To encourage students in pursuing educational and career pathways in the Science Technology Engineering and Math fields, the project will also provide stories from the field in a Penguin Journal, develop classroom-ready activities aligned with New Generation Science Standards, increase the availability of instructional presentations as powerpoint files and short webisodes. The project will provide additional outreach activities through local, state and national speaking engagements about penguins, Antarctic science and climate change. The annual outreach efforts are aimed at reaching over 15,000 students through the website, 300 teachers through presentations and workshops, and 500 persons in the general public. The project also will train four interns (undergraduate and graduate level), two post-doctoral researchers, and a science writer/photographer.
The project will accomplish three major goals, all of which relate to how Adélie Penguins adapt to, or cope with environmental change. Specifically the project seeks to determine 1) how changing winter sea ice conditions in the Ross Sea region affect penguin migration, behavior and survival and alter the carry-over effects (COEs) to subsequent reproduction; 2) the interplay between extrinsic and intrinsic factors influencing COEs over multiple years of an individual's lifetime; and 3) how local environmental change may affect population change via impacts to nesting habitat, interacting with individual quality and COEs. Retrospective analyses will be conducted using 19 years of colony based data and collect additional information on individually marked, known-age and known-history penguins, from new recruits to possibly senescent individuals. Four years of new information will be gained from efforts based at two colonies (Cape Royds and Crozier), using radio frequency identification tags to automatically collect data on breeding and foraging effort of marked, known-history birds to explore penguin response to resource availability within the colony as well as between colonies (mates, nesting material, habitat availability). Additional geolocation/time-depth recorders will be used to investigate travels and foraging during winter of these birds. The combined efforts will allow an assessment of the effects of penguin behavior/success in one season on its behavior in the next (e.g. how does winter behavior affect arrival time and body condition on subsequent breeding). It is at the individual level that penguins are responding successfully, or not, to ongoing marine habitat change in the Ross Sea region." proprietary
-USAP-1544526_1 Activity, Preservation and Fossilization of Cryptoendolithic Microorganisms in Antarctica AMD_USAPDC STAC Catalog 2016-09-01 2017-08-31 160, -77.8, 163.7, -76.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532069950-AMD_USAPDC.umm_json Cryptoendoliths are organisms that colonize microscopic cavities of rocks, which give them protection and allow them to inhabit extreme environments, such as the cold, arid desert of the Dry Valleys of Antarctica. Fossilized cryptoendoliths preserve the forms and features of organisms from the past and thus provide a unique opportunity to study the organisms' life histories and environments. To study this fossil record, there needs to be a better understanding of what environmental conditions allow these fossils to form. A climate gradient currently exists in the Dry Valleys that allows us to study living, dead, and fossilized cryptoendoliths from mild to increasingly harsh environments; providing insight to the limits of life and how these fossils are formed. This project will develop instruments to detect the biological activity of the live microorganisms and conduct laboratory experiments to determine the environmental limits of their survival. The project also will characterize the chemical and structural features of the living, dead, and fossilized cryptoendoliths to understand how they become fossilized. Knowing how microorganisms are preserved as fossils in cold and dry environments like Antarctica can help to refine methods that can be used to search for and identify evidence for extraterrestrial life in similar habitats on planets such as Mars. This project includes training of graduate and undergraduate students. Little is known about cryptoendolithic microfossils and their formation processes in cold, arid terrestrial habitats of the Dry Valleys of Antarctica, where a legacy of activity is discernible in the form of biosignatures including inorganic materials and microbial fossils that preserve and indicate traces of past biological activity. The overarching goals of the proposed work are: (1) to determine how rates of microbial respiration and biodegradation of organic matter control microbial fossilization; and (2) to characterize microbial fossils and their living counterparts to elucidate mechanisms for fossilization. Using samples collected across an increasingly harsher (more cold and dry) climatic gradient that encompasses living, dead, and fossilized cryptoendolithic microorganisms, the proposed work will: (1) develop an instrument to be used in the field that can measure small concentrations of CO2 in cryptoendolithic habitats in situ; (2) use microscopy techniques to characterize endolithic microorganisms as well as the chemical and morphological characteristics of biosignatures and microbial fossils. A metagenomic survey of microbial communities in these samples will be used to characterize differences in diversity, identify if specific microorganisms (e.g. prokaryotes, eukaryotes) are more capable of surviving under these harsh climatic conditions, and to corroborate microscopic observations of the viability states of these microorganisms. proprietary
USAP-1544526_1 Activity, Preservation and Fossilization of Cryptoendolithic Microorganisms in Antarctica ALL STAC Catalog 2016-09-01 2017-08-31 160, -77.8, 163.7, -76.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532069950-AMD_USAPDC.umm_json Cryptoendoliths are organisms that colonize microscopic cavities of rocks, which give them protection and allow them to inhabit extreme environments, such as the cold, arid desert of the Dry Valleys of Antarctica. Fossilized cryptoendoliths preserve the forms and features of organisms from the past and thus provide a unique opportunity to study the organisms' life histories and environments. To study this fossil record, there needs to be a better understanding of what environmental conditions allow these fossils to form. A climate gradient currently exists in the Dry Valleys that allows us to study living, dead, and fossilized cryptoendoliths from mild to increasingly harsh environments; providing insight to the limits of life and how these fossils are formed. This project will develop instruments to detect the biological activity of the live microorganisms and conduct laboratory experiments to determine the environmental limits of their survival. The project also will characterize the chemical and structural features of the living, dead, and fossilized cryptoendoliths to understand how they become fossilized. Knowing how microorganisms are preserved as fossils in cold and dry environments like Antarctica can help to refine methods that can be used to search for and identify evidence for extraterrestrial life in similar habitats on planets such as Mars. This project includes training of graduate and undergraduate students. Little is known about cryptoendolithic microfossils and their formation processes in cold, arid terrestrial habitats of the Dry Valleys of Antarctica, where a legacy of activity is discernible in the form of biosignatures including inorganic materials and microbial fossils that preserve and indicate traces of past biological activity. The overarching goals of the proposed work are: (1) to determine how rates of microbial respiration and biodegradation of organic matter control microbial fossilization; and (2) to characterize microbial fossils and their living counterparts to elucidate mechanisms for fossilization. Using samples collected across an increasingly harsher (more cold and dry) climatic gradient that encompasses living, dead, and fossilized cryptoendolithic microorganisms, the proposed work will: (1) develop an instrument to be used in the field that can measure small concentrations of CO2 in cryptoendolithic habitats in situ; (2) use microscopy techniques to characterize endolithic microorganisms as well as the chemical and morphological characteristics of biosignatures and microbial fossils. A metagenomic survey of microbial communities in these samples will be used to characterize differences in diversity, identify if specific microorganisms (e.g. prokaryotes, eukaryotes) are more capable of surviving under these harsh climatic conditions, and to corroborate microscopic observations of the viability states of these microorganisms. proprietary
+USAP-1544526_1 Activity, Preservation and Fossilization of Cryptoendolithic Microorganisms in Antarctica AMD_USAPDC STAC Catalog 2016-09-01 2017-08-31 160, -77.8, 163.7, -76.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532069950-AMD_USAPDC.umm_json Cryptoendoliths are organisms that colonize microscopic cavities of rocks, which give them protection and allow them to inhabit extreme environments, such as the cold, arid desert of the Dry Valleys of Antarctica. Fossilized cryptoendoliths preserve the forms and features of organisms from the past and thus provide a unique opportunity to study the organisms' life histories and environments. To study this fossil record, there needs to be a better understanding of what environmental conditions allow these fossils to form. A climate gradient currently exists in the Dry Valleys that allows us to study living, dead, and fossilized cryptoendoliths from mild to increasingly harsh environments; providing insight to the limits of life and how these fossils are formed. This project will develop instruments to detect the biological activity of the live microorganisms and conduct laboratory experiments to determine the environmental limits of their survival. The project also will characterize the chemical and structural features of the living, dead, and fossilized cryptoendoliths to understand how they become fossilized. Knowing how microorganisms are preserved as fossils in cold and dry environments like Antarctica can help to refine methods that can be used to search for and identify evidence for extraterrestrial life in similar habitats on planets such as Mars. This project includes training of graduate and undergraduate students. Little is known about cryptoendolithic microfossils and their formation processes in cold, arid terrestrial habitats of the Dry Valleys of Antarctica, where a legacy of activity is discernible in the form of biosignatures including inorganic materials and microbial fossils that preserve and indicate traces of past biological activity. The overarching goals of the proposed work are: (1) to determine how rates of microbial respiration and biodegradation of organic matter control microbial fossilization; and (2) to characterize microbial fossils and their living counterparts to elucidate mechanisms for fossilization. Using samples collected across an increasingly harsher (more cold and dry) climatic gradient that encompasses living, dead, and fossilized cryptoendolithic microorganisms, the proposed work will: (1) develop an instrument to be used in the field that can measure small concentrations of CO2 in cryptoendolithic habitats in situ; (2) use microscopy techniques to characterize endolithic microorganisms as well as the chemical and morphological characteristics of biosignatures and microbial fossils. A metagenomic survey of microbial communities in these samples will be used to characterize differences in diversity, identify if specific microorganisms (e.g. prokaryotes, eukaryotes) are more capable of surviving under these harsh climatic conditions, and to corroborate microscopic observations of the viability states of these microorganisms. proprietary
USAP-1643534_1 Biological and Physical Drivers of Oxygen Saturation and Net Community Production Variability along the Western Antarctic Peninsula AMD_USAPDC STAC Catalog 2016-06-15 2023-07-15 -83, -73, -56, -62 https://cmr.earthdata.nasa.gov/search/concepts/C2532075509-AMD_USAPDC.umm_json "This project seeks to make detailed measurements of the oxygen content of the surface ocean along the Western Antarctic Peninsula. Detailed maps of changes in net oxygen content will be combined with measurements of the surface water chemistry and phytoplankton distributions. The project will determine the extent to which on-shore or offshore phytoplankton blooms along the peninsula are likely to lead to different amounts of carbon being exported to the deeper ocean. The project will analyze oxygen in relation to argon that will allow determination of the physical and biological contributions to surface ocean oxygen dynamics. These assessments will be combined with spatial and temporal distributions of nutrients (iron and macronutrients) and irradiances. This will allow the investigators to unravel the complex interplay between ice dynamics, iron and physical mixing dynamics as they relate to Net Community Production (NCP) in the region. NCP measurements will be normalized to Particulate Organic Carbon (POC) and be used to help identify area of ""High Biomass and Low NCP"" and those with ""Low Biomass and High NCP"" as a function of microbial plankton community composition. The team will use machine learning methods- including decision tree assemblages and genetic programming- to identify plankton groups key to facilitating biological carbon fluxes. Decomposing the oxygen signal along the West Antarctic Peninsula will also help elucidate biotic and abiotic drivers of the O2 saturation to further contextualize the growing inventory of oxygen measurements (e.g. by Argo floats) throughout the global oceans." proprietary
-USAP-1643722_1 A High Resolution Atmospheric Methane Record from the South Pole Ice Core ALL STAC Catalog 2017-02-01 2019-01-31 180, -90, 180, -90 https://cmr.earthdata.nasa.gov/search/concepts/C2534799946-AMD_USAPDC.umm_json This award supports a project to measure the concentration of the gas methane in air trapped in an ice core collected from the South Pole. The data will provide an age scale (age as a function of depth) by matching the South Pole methane changes with similar data from other ice cores for which the age vs. depth relationship is well known. The ages provided will allow all other gas measurements made on the South Pole core (by the PI and other NSF supported investigators) to be interpreted accurately as a function of time. This is critical because a major goal of the South Pole coring project is to understand the history of rare gases in the atmosphere like carbon monoxide, carbon dioxide, ethane, propane, methyl chloride, and methyl bromide. Relatively little is known about what controls these gases in the atmosphere despite their importance to atmospheric chemistry and climate. Undergraduate assistants will work on the project and be introduced to independent research through their work. The PI will continue visits to local middle schools to introduce students to polar science, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) as part of the project. Methane concentrations from a major portion (2 depth intervals, excluding the brittle ice-zone which is being measured at Penn State University) of the new South Pole ice core will be used to create a gas chronology by matching the new South Pole ice core record with that from the well-dated WAIS Divide ice core record. In combination with measurements made at Penn State, this will provide gas dating for the entire 50,000-year record. Correlation will be made using a simple but powerful mid-point method that has been previously demonstrated, and other methods of matching records will be explored. The intellectual merit of this work is that the gas chronology will be a fundamental component of this ice core project, and will be used by the PI and other investigators for dating records of atmospheric composition, and determining the gas age-ice age difference independently of glaciological models, which will constrain processes that affected firn densification in the past. The methane data will also provide direct stratigraphic markers of important perturbations to global biogeochemical cycles (e.g., rapid methane variations synchronous with abrupt warming and cooling in the Northern Hemisphere) that will tie other ice core gas records directly to those perturbations. A record of the total air content will also be produced as a by-product of the methane measurements and will contribute to understanding of this parameter. The broader impacts include that the work will provide a fundamental data set for the South Pole ice core project and the age scale (or variants of it) will be used by all other investigators working on gas records from the core. The project will employ an undergraduate assistant(s) in both years who will conduct an undergraduate research project which will be part of the student's senior thesis or other research paper. The project will also offer at least one research position for the Oregon State University Summer REU site program. Visits to local middle schools, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) will also be part of the project. proprietary
USAP-1643722_1 A High Resolution Atmospheric Methane Record from the South Pole Ice Core AMD_USAPDC STAC Catalog 2017-02-01 2019-01-31 180, -90, 180, -90 https://cmr.earthdata.nasa.gov/search/concepts/C2534799946-AMD_USAPDC.umm_json This award supports a project to measure the concentration of the gas methane in air trapped in an ice core collected from the South Pole. The data will provide an age scale (age as a function of depth) by matching the South Pole methane changes with similar data from other ice cores for which the age vs. depth relationship is well known. The ages provided will allow all other gas measurements made on the South Pole core (by the PI and other NSF supported investigators) to be interpreted accurately as a function of time. This is critical because a major goal of the South Pole coring project is to understand the history of rare gases in the atmosphere like carbon monoxide, carbon dioxide, ethane, propane, methyl chloride, and methyl bromide. Relatively little is known about what controls these gases in the atmosphere despite their importance to atmospheric chemistry and climate. Undergraduate assistants will work on the project and be introduced to independent research through their work. The PI will continue visits to local middle schools to introduce students to polar science, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) as part of the project. Methane concentrations from a major portion (2 depth intervals, excluding the brittle ice-zone which is being measured at Penn State University) of the new South Pole ice core will be used to create a gas chronology by matching the new South Pole ice core record with that from the well-dated WAIS Divide ice core record. In combination with measurements made at Penn State, this will provide gas dating for the entire 50,000-year record. Correlation will be made using a simple but powerful mid-point method that has been previously demonstrated, and other methods of matching records will be explored. The intellectual merit of this work is that the gas chronology will be a fundamental component of this ice core project, and will be used by the PI and other investigators for dating records of atmospheric composition, and determining the gas age-ice age difference independently of glaciological models, which will constrain processes that affected firn densification in the past. The methane data will also provide direct stratigraphic markers of important perturbations to global biogeochemical cycles (e.g., rapid methane variations synchronous with abrupt warming and cooling in the Northern Hemisphere) that will tie other ice core gas records directly to those perturbations. A record of the total air content will also be produced as a by-product of the methane measurements and will contribute to understanding of this parameter. The broader impacts include that the work will provide a fundamental data set for the South Pole ice core project and the age scale (or variants of it) will be used by all other investigators working on gas records from the core. The project will employ an undergraduate assistant(s) in both years who will conduct an undergraduate research project which will be part of the student's senior thesis or other research paper. The project will also offer at least one research position for the Oregon State University Summer REU site program. Visits to local middle schools, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) will also be part of the project. proprietary
+USAP-1643722_1 A High Resolution Atmospheric Methane Record from the South Pole Ice Core ALL STAC Catalog 2017-02-01 2019-01-31 180, -90, 180, -90 https://cmr.earthdata.nasa.gov/search/concepts/C2534799946-AMD_USAPDC.umm_json This award supports a project to measure the concentration of the gas methane in air trapped in an ice core collected from the South Pole. The data will provide an age scale (age as a function of depth) by matching the South Pole methane changes with similar data from other ice cores for which the age vs. depth relationship is well known. The ages provided will allow all other gas measurements made on the South Pole core (by the PI and other NSF supported investigators) to be interpreted accurately as a function of time. This is critical because a major goal of the South Pole coring project is to understand the history of rare gases in the atmosphere like carbon monoxide, carbon dioxide, ethane, propane, methyl chloride, and methyl bromide. Relatively little is known about what controls these gases in the atmosphere despite their importance to atmospheric chemistry and climate. Undergraduate assistants will work on the project and be introduced to independent research through their work. The PI will continue visits to local middle schools to introduce students to polar science, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) as part of the project. Methane concentrations from a major portion (2 depth intervals, excluding the brittle ice-zone which is being measured at Penn State University) of the new South Pole ice core will be used to create a gas chronology by matching the new South Pole ice core record with that from the well-dated WAIS Divide ice core record. In combination with measurements made at Penn State, this will provide gas dating for the entire 50,000-year record. Correlation will be made using a simple but powerful mid-point method that has been previously demonstrated, and other methods of matching records will be explored. The intellectual merit of this work is that the gas chronology will be a fundamental component of this ice core project, and will be used by the PI and other investigators for dating records of atmospheric composition, and determining the gas age-ice age difference independently of glaciological models, which will constrain processes that affected firn densification in the past. The methane data will also provide direct stratigraphic markers of important perturbations to global biogeochemical cycles (e.g., rapid methane variations synchronous with abrupt warming and cooling in the Northern Hemisphere) that will tie other ice core gas records directly to those perturbations. A record of the total air content will also be produced as a by-product of the methane measurements and will contribute to understanding of this parameter. The broader impacts include that the work will provide a fundamental data set for the South Pole ice core project and the age scale (or variants of it) will be used by all other investigators working on gas records from the core. The project will employ an undergraduate assistant(s) in both years who will conduct an undergraduate research project which will be part of the student's senior thesis or other research paper. The project will also offer at least one research position for the Oregon State University Summer REU site program. Visits to local middle schools, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) will also be part of the project. proprietary
USAP-1643864_1 Collaborative Research: Borehole Logging to Classify Volcanic Signatures in Antarctic Ice AMD_USAPDC STAC Catalog 2017-05-08 -112.085, -79.467, -112.085, -79.467 https://cmr.earthdata.nasa.gov/search/concepts/C2532074603-AMD_USAPDC.umm_json This dataset comprises new photographs and measurements of a WAIS Divide vertical thin section, WDC-06A 420 VTS, previously prepared and measured by J. Fitzpatrick, D. E. Voigt, and R. Alley (dataset DOI: 10.7265/N5W093VM; http://www.usap-dc.org/view/dataset/609605) as part of a larger study of the WAIS Divide ice core (Fitzpatrick, J. et al, 2014, Physical properties of the WAIS Divide ice core, Journal of Glaciology, 60, 224, 1181-1198. (doi:10.3189/2014JoG14J100). These images were taken as a design test of our new automated lightweight c-axis analyzer, dubbed ALPACA, which implements the ice fabric analysis functionality of the Wilen system used by Fitzpatrick et al. in an easily-portable, field-deployable form factor. proprietary
USAP-1644004_1 Collaborative Research: Foraging Ecology and Physiology of the Leopard Seal AMD_USAPDC STAC Catalog 2017-10-01 2022-09-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2560369942-AMD_USAPDC.umm_json This research project is a multidisciplinary effort that brings together a diverse team of scientists from multiple institutions together to understand the foraging behavior and physiology of leopard seals and their role in the Southern Ocean food web. The project will examine the physiology and behavior of leopard seals to in an effort to determine their ability to respond to potential changes in their habitat and foraging areas. Using satellite tracking devices the team will examine the movement and diving behavior of leopard seals and couple this information with measurements of their physiological capacity. The project will determine whether leopard seals- who feed on diverse range of prey- are built differently than their deep diving relatives the Weddell and elephant seal who feed on fish and squid. The team will also determine whether leopard seals are operating at or near their physiological capability to determine how much, if any, ?reserve capacity? they might have to forage and live in changing environments. A better understanding of their home ranges, movement patterns, and general behavior will also be informative to help in managing human-leopard seal interactions. The highly visual nature of the data and analysis for this project lends itself to public and educational display and outreach, particularly as they relate to the changing Antarctic habitats. The project will use the research results to educate the public on the unique physiological and ecological adaptations to extreme environments seen in diving marine mammals, including adaptations to exercise under low oxygen conditions and energy utilization, which affect and dictate the lifestyle of these exceptional organisms. The results of the project will also contribute to the broader understanding that may enhance the aims of managing marine living resources. The leopard seal is an apex predator in the Antarctic ecosystem. This project seeks to better understand the ability of the leopard seal to cope with a changing environment. The project will first examine the foraging behavior and habitat utilization of leopard seals using satellite telemetry. Specifically, satellite telemetry tags will be used to obtain dive profiles and movement data for individuals across multiple years. Diet and trophic level positions across multiple temporal scales will then be determined from physiological samples (e.g., blood, vibrissae, blubber fatty acids, stable isotopes, fecal matter). Oceanographic data will be integrated with these measures to develop habitat models that will be used to assess habitat type, habitat utilization, habitat preference, and home range areas for individual animals. Diet composition for individual seals will be evaluated to determine whether specific animals are generalists or specialists. Second, the team will investigate the physiological adaptations that allow leopard seals to be apex predators and determine to what extent leopard seals are working at or near their physiological limit. Diving behavior and physiology of leopard seals will be evaluated (for instance the aerobic dive limit for individual animals and skeletal muscle adaptations will be determined for diving under hypoxic conditions). Data from time-depth recorders will be used to determine foraging strategies for individual seals, and these diving characteristics will be related to physiological variables (e.g., blood volume, muscle oxygen stores) to better understand the link between foraging behavior and physiology. The team will compare myoglobin storage in swimming muscles associated with both forelimb and hind limb propulsion and the use of anaerobic versus aerobic metabolic systems while foraging. proprietary
USAP-1644073_1 Collaborative Research: Cobalamin and Iron Co-Limitation Of Phytoplankton Species in Terra Nova Bay AMD_USAPDC STAC Catalog 2017-08-18 2020-08-31 -116, -79, 160, -72 https://cmr.earthdata.nasa.gov/search/concepts/C2532074465-AMD_USAPDC.umm_json Phytoplankton blooms in the coastal waters of the Ross Sea, Antarctica are typically dominated by either diatoms or Phaeocystis Antarctica (a flagellated algae that often can form large colonies in a gelatinous matrix). The project seeks to determine if an association of bacterial populations with Phaeocystis antarctica colonies can directly supply Phaeocystis with Vitamin B12, which can be an important co-limiting micronutrient in the Ross Sea. The supply of an essential vitamin coupled with the ability to grow at lower iron concentrations may put Phaeocystis at a competitive advantage over diatoms. Because Phaeocystis cells can fix more carbon than diatoms and Phaeocystis are not grazed as efficiently as diatoms, the project will help in refining understanding of carbon dynamics in the region as well as the basis of the food web webs. Such understanding also has the potential to help refine predictive ecological models for the region. The project will conduct public outreach activities and will contribute to undergraduate and graduate research. Engagement of underrepresented students will occur during summer student internships. A collaboration with Italian Antarctic researchers, who have been studying the Terra Nova Bay ecosystem since the 1980s, aims to enhance the project and promote international scientific collaborations. The study will test whether a mutualistic symbioses between attached bacteria and Phaeocystis provides colonial cells a mechanism for alleviating chronic Vitamin B12 co-limitation effects thereby conferring them with a competitive advantage over diatom communities. The use of drifters in a time series study will provide the opportunity to track in both space and time a developing algal bloom in Terra Nova Bay and to determine community structure and the physiological nutrient status of microbial populations. A combination of flow cytometry, proteomics, metatranscriptomics, radioisotopic and stable isotopic labeling experiments will determine carbon and nutrient uptake rates and the role of bacteria in mitigating potential vitamin B12 and iron limitation. Membrane inlet and proton transfer reaction mass spectrometry will also be used to estimate net community production and release of volatile organic carbon compounds that are climatically active. Understanding how environmental parameters can influence microbial community dynamics in Antarctic coastal waters will advance an understanding of how changes in ocean stratification and chemistry could impact the biogeochemistry and food web dynamics of Southern Ocean ecosystems. proprietary
@@ -15481,8 +15483,8 @@ USAP-1935635_1 ANT LIA Collaborative Research: Interrogating Molecular and Physi
USAP-1937546_1 ANT LIA: Collaborative Research: Genetic Underpinnings of Microbial Interactions in Chemically Stratified Antarctic Lakes AMD_USAPDC STAC Catalog 2020-09-15 2023-08-31 162, -77.733333, 163, -77.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2544479199-AMD_USAPDC.umm_json Microbial communities are of more than just a scientific curiosity. Microbes represent the single largest source of evolutionary and biochemical diversity on the planet. They are the major agents for cycling carbon, nitrogen, phosphorus, and other elements through the ecosystem. Despite their importance in ecosystem function, microbes are still generally overlooked in food web models and nutrient cycles. Moreover, microbes do not live in isolation: their growth and metabolism are influenced by complex interactions with other microorganisms. This project will focus on the ecology, activity and roles of microbial communities in Antarctic Lake ecosystems. The team will characterize the genetic underpinnings of microbial interactions and the influence of environmental gradients (e.g. light, nutrients, oxygen, sulfur) and seasons (e.g. summer vs. winter) on microbial networks in Lake Fryxell and Lake Bonney in the Taylor Valley within the McMurdo Dry Valley region. Finally, the project furthers the NSF goals of training new generations of scientists by including undergraduate and graduate students, a postdoctoral researcher and a middle school teacher in both lab and field research activities. This partnership will involve a number of other outreach training activities, including visits to classrooms and community events, participation in social media platforms, and webinars. Part II: Technical description: Ecosystem function in the extreme Antarctic Dry Valleys ecosystem is dependent on complex biogeochemical interactions between physiochemical environmental factors (e.g. light, nutrients, oxygen, sulfur), time of year (e.g. summer vs. winter) and microbes. Microbial network complexity can vary in relation to specific abiotic factors, which has important implications on the fragility and resilience of ecosystems under threat of environmental change. This project will evaluate the influence of biogeochemical factors on microbial interactions and network complexity in two Antarctic ice-covered lakes. The study will be structured by three main objectives: 1) infer positive and negative interactions from rich spatial and temporal datasets and investigate the influence of biogeochemical gradients on microbial network complexity using a variety of molecular approaches; 2) directly observe interactions among microbial eukaryotes and their partners using flow cytometry, single-cell sorting and microscopy; and 3) develop metabolic models of specific interactions using metagenomics. Outcomes from amplicon sequencing, meta-omics, and single-cell genomic approaches will be integrated to map specific microbial network complexity and define the role of interactions and metabolic activity onto trends in limnological biogeochemistry in different seasons. These studies will be essential to determine the relationship between network complexity and future climate conditions. Undergraduate researchers will be recruited from both an REU program with a track record of attracting underrepresented minorities and two minority-serving institutions. To further increase polar literacy training and educational impacts, the field team will include a teacher as part of a collaboration with the successful NSF-funded PolarTREC program and participation in activities designed for public outreach. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
USAP-1943550_1 CAREER: Foraging Ecology and Physiology of Emperor Penguins in the Ross Sea AMD_USAPDC STAC Catalog 2020-08-01 2025-07-31 168, -78, 171, -77 https://cmr.earthdata.nasa.gov/search/concepts/C2692706402-AMD_USAPDC.umm_json This project will identify behavioral and physiological variability in foraging Emperor Penguins that can be directly linked to individual success in the marine environment using an optimal foraging theory framework during two critical life history stages. First, this project will investigate the foraging energetics, ecology, and habitat use of Emperor Penguins at Cape Crozier using fine-scale movement and video data loggers during late chick-rearing, an energetically demanding life history phase. Specifically, this study will 1) Estimate the foraging efficiency and examine its relationship to foraging behavior and diet using an optimal foraging theory framework to identify what environmental or physiological constraints influence foraging behavior; 2) Investigate the inter- and intra-individual behavioral variability exhibited by emperor penguins, which is essential to predict how resilient they will be to climate change; and 3) Integrate penguin foraging efficiency data with environmental data to identify important habitat. Next the researchers will study the ecology and habitat preference after the molt and through early reproduction using satellite-linked data loggers. The researchers will: 1) Investigate the inter- and intra-individual behavioral variability exhibited by Emperor Penguins during the three-month post-molt and early winter foraging trips; and 2) Integrate penguin behavioral data with environmental data to identify which environmental features are indicative of habitat preference when penguins are not constrained to returning to the colony to feed a chick. These fine- and coarse-scale data will be combined with climate predictions to create predictive habitat models. The education objectives of this CAREER project are designed to inspire, engage, and train the next generation of scientists using the data and video generated while investigating Emperor Penguins in the Antarctic ecosystem. This includes development of two courses (general education and advanced techniques), training of undergraduate and graduate students, and a collaboration with the NSF funded “Polar Literacy: A model for youth engagement and learning” program to develop afterschool and camp curriculum that target underserved and underrepresented groups. proprietary
USAP-1945127_1 CAREER: The Transformation, Cross-shore Export, and along-shore Transport of Freshwater on Antarctic Shelves AMD_USAPDC STAC Catalog 2020-06-01 2025-05-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075621-AMD_USAPDC.umm_json Freshwater discharges from melting high-latitude continental ice glacial reserves strongly control salt budgets, circulation and associated ocean water mass formation arising from polar ice shelves. These are different in nature than freshwater inputs associated with riverine coastal inputs. The PI proposes an observational deployment to measure a specific, previously-identified example of a coastal freshwater-driven current, the Antarctic Peninsula Coastal Current (APCC). The research component of this CAREER project aims to improve understanding of the dynamics of freshwater discharge around the Antarctic continent. Associated research questions pertain to the i) controls on the cross- and along-shelf spreading of fresh, buoyant coastal currents, ii) the role of distributed coastal freshwater sources (as opposed to 'point' source river outflow sources typical of lower latitudes), and iii) the contribution of these coastal currents to water mass transformation and heat transfer on the continental shelf. An educational CAREER program component leverages a series of field experiences and research outputs including data, model outputs, and theory, to bring polar science to the classroom and the general public, as well as training a new polar scientist. This combined strategy will allow the investigator to lay the foundation for a successful academic career as a researcher and teacher at the University of Delaware. The project will also provide the opportunity to train a PhD student. Informal outreach efforts will include giving public lectures at University of Deleware's sponsored events, including Coast Day, a summer event that attracts 8000-10000 people, and remote lectures from the field using an existing outreach network. This proposal requires fieldwork in the Antarctic. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
-USAP-1947094_1 A non-amniote perspective on the recovery from the end-Permian extinction at high latitudes: paleobiology of Early Triassic temnospondyls from Antarctica AMD_USAPDC STAC Catalog 2020-05-01 2022-04-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075035-AMD_USAPDC.umm_json The research supported by this grant centers on the evolution of fossil amphibians (temnospondyls) from the Early Triassic, a crucial time interval in the evolution of life on Earth following the end-Permian mass extinction, specifically based on fossil material from Antarctica, a high-latitude paleoenvironment that may have served as a refuge for tetrapods across the extinction event. Previous records of temnospondyls, mostly reported several decades ago, are highly fragmentary, and their original interpretations are considered dubious or demonstrably erroneous by contemporary workers. The Antarctic record of temnospondyls is of great import in understanding the biotic recovery in terrestrial environments for several reasons. Firstly, temnospondyls, like amphibians today, were highly speciose in the Triassic but were also some of the most susceptible to environmental perturbations and instability. Therefore, temnospondyls provide key insights into the paleoenvironmental conditions, either in place of or alongside other lines of data. Secondly, the record of temnospondyls from the Early Triassic is quite rich, but it is also restricted to a few densely sampled regions, such as the Karoo Basin of South Africa. In order to ascertain whether observed patterns such as an unusual abundance of small-bodied taxa or a lack of faunal overlap between different depositional basins (endemism) are real or merely artifactual, study of additional, less sampled regions takes on great import. Recent collection of substantial new temnospondyl material from several horizons in the Triassic exposure of Antarctica provides the requisite data to begin to address these questions. Finally, correlating the Triassic rocks of Antarctica with those of adjacent regions is largely reliant on comparisons of faunal assemblages. In particular, the middle Fremouw Formation, one of the horizons from which new temnospondyl material was collected, remains of uncertain relation and age due to the paucity of described material. proprietary
USAP-1947094_1 A non-amniote perspective on the recovery from the end-Permian extinction at high latitudes: paleobiology of Early Triassic temnospondyls from Antarctica ALL STAC Catalog 2020-05-01 2022-04-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075035-AMD_USAPDC.umm_json The research supported by this grant centers on the evolution of fossil amphibians (temnospondyls) from the Early Triassic, a crucial time interval in the evolution of life on Earth following the end-Permian mass extinction, specifically based on fossil material from Antarctica, a high-latitude paleoenvironment that may have served as a refuge for tetrapods across the extinction event. Previous records of temnospondyls, mostly reported several decades ago, are highly fragmentary, and their original interpretations are considered dubious or demonstrably erroneous by contemporary workers. The Antarctic record of temnospondyls is of great import in understanding the biotic recovery in terrestrial environments for several reasons. Firstly, temnospondyls, like amphibians today, were highly speciose in the Triassic but were also some of the most susceptible to environmental perturbations and instability. Therefore, temnospondyls provide key insights into the paleoenvironmental conditions, either in place of or alongside other lines of data. Secondly, the record of temnospondyls from the Early Triassic is quite rich, but it is also restricted to a few densely sampled regions, such as the Karoo Basin of South Africa. In order to ascertain whether observed patterns such as an unusual abundance of small-bodied taxa or a lack of faunal overlap between different depositional basins (endemism) are real or merely artifactual, study of additional, less sampled regions takes on great import. Recent collection of substantial new temnospondyl material from several horizons in the Triassic exposure of Antarctica provides the requisite data to begin to address these questions. Finally, correlating the Triassic rocks of Antarctica with those of adjacent regions is largely reliant on comparisons of faunal assemblages. In particular, the middle Fremouw Formation, one of the horizons from which new temnospondyl material was collected, remains of uncertain relation and age due to the paucity of described material. proprietary
+USAP-1947094_1 A non-amniote perspective on the recovery from the end-Permian extinction at high latitudes: paleobiology of Early Triassic temnospondyls from Antarctica AMD_USAPDC STAC Catalog 2020-05-01 2022-04-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075035-AMD_USAPDC.umm_json The research supported by this grant centers on the evolution of fossil amphibians (temnospondyls) from the Early Triassic, a crucial time interval in the evolution of life on Earth following the end-Permian mass extinction, specifically based on fossil material from Antarctica, a high-latitude paleoenvironment that may have served as a refuge for tetrapods across the extinction event. Previous records of temnospondyls, mostly reported several decades ago, are highly fragmentary, and their original interpretations are considered dubious or demonstrably erroneous by contemporary workers. The Antarctic record of temnospondyls is of great import in understanding the biotic recovery in terrestrial environments for several reasons. Firstly, temnospondyls, like amphibians today, were highly speciose in the Triassic but were also some of the most susceptible to environmental perturbations and instability. Therefore, temnospondyls provide key insights into the paleoenvironmental conditions, either in place of or alongside other lines of data. Secondly, the record of temnospondyls from the Early Triassic is quite rich, but it is also restricted to a few densely sampled regions, such as the Karoo Basin of South Africa. In order to ascertain whether observed patterns such as an unusual abundance of small-bodied taxa or a lack of faunal overlap between different depositional basins (endemism) are real or merely artifactual, study of additional, less sampled regions takes on great import. Recent collection of substantial new temnospondyl material from several horizons in the Triassic exposure of Antarctica provides the requisite data to begin to address these questions. Finally, correlating the Triassic rocks of Antarctica with those of adjacent regions is largely reliant on comparisons of faunal assemblages. In particular, the middle Fremouw Formation, one of the horizons from which new temnospondyl material was collected, remains of uncertain relation and age due to the paucity of described material. proprietary
USAP-1947562_1 Antarctica as a Model System for Responses of Terrestrial Carbon Balance to Warming AMD_USAPDC STAC Catalog 2022-01-01 2026-12-31 -65, -65, -63, -64.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532075152-AMD_USAPDC.umm_json Responses of the carbon balance of terrestrial ecosystems to warming will feed back to the pace of climate change, but the size and direction of this feedback are poorly constrained. Least known are the effects of warming on carbon losses from soil, and clarifying the major microbial controls is an important research frontier. This study uses a series of experiments and observations to investigate microbial, including autotrophic taxa, and plant controls of net ecosystem productivity in response to warming in intact ecosystems. Field warming is achieved using open-top chambers paired with control plots, arrayed along a productivity gradient. Along this gradient incoming and outgoing carbon fluxes will be measured at the ecosystem-level. The goal is to tie warming-induced shifts in net ecosystem carbon balance to warming effects on soil microbes and plants. The field study will be supplemented with lab temperature incubations. Because soil microbes dominate biogeochemical cycles in Antarctica, a major focus of this study is to determine warming responses of bacteria, fungi and archaea. This is achieved using a cutting-edge stable isotope technique, quantitative stable isotope probing (qSIP) developed by the proposing research team, that can identify the taxa that are active and involved in processing new carbon. This technique can identify individual microbial taxa that are actively participating in biogeochemical cycling of nutrients (through combined use of 18O-water and 13C-bicarbonate) and thus can be distinguished from those that are simply present (cold-preserved). The study further assesses photosynthetic uptake of carbon by the vegetation and their sensitivity to warming. Results will advance research in climate change, plant and soil microbial ecology, and ecosystem modeling. proprietary
USAP-1947646_1 Collaborative Proposal: Miocene Climate Extremes: A Ross Sea Perspective from IODP Expedition 374 and DSDP Leg 28 Marine Sediments AMD_USAPDC STAC Catalog 2020-05-01 2023-04-30 164, -79, -156, -72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532075622-AMD_USAPDC.umm_json Presently, Antarctica's glaciers are melting as Earth's atmosphere and the Southern Ocean warm. Not much is known about how Antarctica's ice sheets might respond to ongoing and future warming, but such knowledge is important because Antarctica's ice sheets might raise global sea levels significantly with continued melting. Over time, mud accumulates on the sea floor around Antarctica that is composed of the skeletons and debris of microscopic marine organisms and sediment from the adjacent continent. As this mud is deposited, it creates a record of past environmental and ecological changes, including ocean depth, glacier advance and retreat, ocean temperature, ocean circulation, marine ecosystems, ocean chemistry, and continental weathering. Scientists interested in understanding how Antarctica's glaciers and ice sheets might respond to ongoing warming can use a variety of physical, biological, and chemical analyses of these mud archives to determine how long ago the mud was deposited and how the ice sheets, oceans, and marine ecosystems responded during intervals in the past when Earth's climate was warmer. In this project, researchers from the University of South Florida, University of Massachusetts, and Northern Illinois University will reconstruct the depth, ocean temperature, weathering and nutrient input, and marine ecosystems in the central Ross Sea from ~17 to 13 million years ago, when the warm Miocene Climate Optimum transitioned to a cooler interval with more extensive ice sheets. Record will be generated from new sediments recovered during the International Ocean Discovery Program (IODP) Expedition 374 and legacy sequences recovered in the 1970s during the Deep Sea Drilling Program. Results will be integrated into ice sheet and climate models to improve the accuracy of predictions. proprietary
USAP-1951603_1 Antarctic Meteorological Research and Data Center AMD_USAPDC STAC Catalog 2020-07-01 2025-07-01 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075146-AMD_USAPDC.umm_json The Antarctic Meteorological Research and Data Center (AMRDC) project will create an Antarctic meteorological observational data repository and archive system based on an open source platform to manage data from submission to end-user retrieval. The new archival system will host both currently available datasets and campaign meteorological datasets deposited by other Antarctic investigators. Both real-time meteorological data and archive data from the repository (e.g. Antarctic composite satellite imagery, AWS observations, etc.) will be accessible on a newly constructed website. The project will engage undergraduate and graduate students in order to provide them with meaningful experiences that can translate to any science, technology, engineering, and mathematics (STEM) career path. Project participants and students will be involved in case studies, climatology reporting and development of whitepapers on related topics. The outcomes of this project revolve around data, and the students, researchers, and decision makers who all use and rely on Antarctic meteorological data. The AMRDC will not only be a resource for users, but it will also provide investigators a repository to place campaign datasets and meet NSF standards and requirements. This project also aims to give students Antarctic field experiences who are considering a career in science, technology, engineering and mathematics (STEM). proprietary
@@ -15493,8 +15495,8 @@ USAP-2046240_1 CAREER: Coastal Antarctic Snow Algae and Light Absorbing Particle
USAP-2046437_1 CAREER: Development of Unmanned Ground Vehicles for Assessing the Health of Secluded Ecosystems (ECHO) AMD_USAPDC STAC Catalog 2021-09-01 2026-08-31 -60, -80, 10, -55 https://cmr.earthdata.nasa.gov/search/concepts/C2532075144-AMD_USAPDC.umm_json Polar ecosystems currently experience significant impacts due to global changes. Measurable negative effects on polar wildlife have already occurred, such as population decreases of numerous seabird species, including the complete loss of colonies of one of the most emblematic species of the Antarctic, the emperor penguin. These existing impacts on polar species are alarming, especially because many polar species still remain poorly studied due to technical and logistical challenges imposed by the harsh environment and extreme remoteness. Developing technologies and tools for monitoring such wildlife populations is, therefore, a matter of urgency. This project aims to help close major knowledge gaps about the emperor penguin, in particular about their adaptive capability to a changing environment, by the development of next-generation tools to remotely study entire colonies. Specifically, the main goal of this project is to implement and test an autonomous unmanned ground vehicle equipped with Radio-frequency identification (RFID) antennas and wireless mesh communication data-loggers to: 1) identify RFID-tagged emperor penguins during breeding to studying population dynamics without human presence; and 2) receive GPS-TDR datasets from VHF-GPS-TDR data-loggers without human presence to study animal behavior and distribution at sea. The autonomous vehicles navigation through the colony will be aided by an existing remote penguin observatory (SPOT). Properly implemented, this technology can be used to study of the life history of individual penguins, and therefore gather data for behavioral and population dynamic studies. The education objectives of this CAREER project are designed to increase the interest in a STEM education for the next generation of scientists by combining the charisma of the emperor penguin with robotics research. Within this project, a new class on ecosystem robotics will be developed and taught, Robotics boot-camps will allow undergraduate students to remotely participate in Antarctic field trips, and an annual curriculum will be developed that allows K-12 students to follow the life of the emperor penguin during the breeding cycle, powered by real-time data obtained using the unmanned ground vehicle as well as the existing emperor penguin observatory. proprietary
USAP-2046800_1 CAREER: Ecosystem Impacts of Microbial Succession and Production at Antarctic Methane Seeps AMD_USAPDC STAC Catalog 2022-01-01 2026-12-31 162, -78, 168, -77 https://cmr.earthdata.nasa.gov/search/concepts/C2532075149-AMD_USAPDC.umm_json Due to persistent cold temperatures, geographical isolation, and resulting evolutionary distinctness of Southern Ocean fauna, the study of Antarctic reducing habitats has the potential to fundamentally alter our understanding of the biologic processes that inhibit greenhouse gas emissions from our oceans. Marine methane, a greenhouse gas 25x as potent as carbon dioxide for warming our atmosphere, is currently a minor component of atmospheric forcing due to the microbial oxidation of methane within the oceans. Based on studies of persistent deep-sea seeps at mid- and northern latitudes we have learned that bacteria and archaea create a ‘sediment filter’ that oxidizes methane prior to its release. As increasing global temperatures have and will continue to alter the rate and variance of methane release, the ability of the microbial filter to respond to fluctuations in methane cycles is a critical yet unexplored avenue of research. Antarctica contains vast reservoirs of methane, equivalent to all of the permafrost in the Arctic, and yet we know almost nothing about the fauna that may mitigate its release, as until recently, we had not discovered an active methane seep. In 2012, a methane seep was discovered in the Ross Sea, Antarctica that formed in 2011 providing the first opportunity to study an active Antarctic methane-fueled habitat and simultaneously the impact of microbial succession on the oxidation of methane, a critical ecosystem service. Previous work has shown that after 5 years of seepage, the community was at an early stage of succession and unable to mitigate the release of methane from the seafloor. In addition, additional areas of seepage had begun nearby. This research aims to quantify the community trajectory of these seeps in relation to their role in the Antarctic Ecosystem, from greenhouse gas mitigation through supporting the food web. Through the application of genomic and transcriptomic approaches, taxa involved in methane cycling and genes activated by the addition of methane will be identified and contrasted with those from other geographical locations. These comparisons will elucidate how taxa have evolved and adapted to the polar environment. This research uses a ‘genome to ecosystem’ approach to advance our understanding of organismal and systems ecology in Antarctica. By quantifying the trajectory of community succession following the onset of methane emission, the research will decipher temporal shifts in biodiversity/ecosystem function relationships. Phylogenomic approaches focusing on taxa involved in methane cycling will advance the burgeoning field of microbial biogeography on a continent where earth’s history may have had a profound yet unquantified impact on microbial evolution. Further, the research will empirically quantify the role of chemosynthesis as a form of export production from seeps and in non-seep habitats in the nearshore Ross Sea benthos, informing our understanding of Antarctic carbon cycling. proprietary
USAP-2055455_1 ANT LIA - Viral Ecogenomics of the Southern Ocean: Unifying Omics and Ecological Networks to Advance our Understanding of Antarctic Microbial Ecosystem Function AMD_USAPDC STAC Catalog 2021-05-01 2024-04-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075626-AMD_USAPDC.umm_json "Part 1: Non-technical description: It is well known that the Southern Ocean plays an important role in global carbon cycling and also receives a disproportionately large influence of climate change. The role of marine viruses on ocean productivity is largely understudied, especially in this global region. This team proposes to use combination of genomics, flow cytometry, and network modeling to test the hypothesis that viral biogeography, infection networks, and viral impacts on microbial metabolism can explain variations in net community production (NCP) and carbon cycling in the Southern Ocean. The project includes the training of a postdoctoral scholar, graduate students and undergraduate students. It also includes the development of a new Polar Sci ReachOut program in partnership with the University of Michigan Museum of Natural History especially targeted to middle-school students and teachers and the general public. The team will also produce a Science for Tomorrow (SFT) program for use in middle schools in metro-Detroit communities and lead a summer Research Experience for Teachers (RET) fellows. Part 2: Technical description: The study will leverage hundreds of existing samples collected for microbes and viruses from the Antarctic Circumpolar Expedition (ACE). These samples provide the first contiguous survey of viral diversity and microbial communities around Antarctica. Viral networks are being studied in the context of biogeochemical data to model community networks and predict net community production (NCP), which will provide a way to evaluate the role of viruses in Southern Ocean carbon cycling. Using cutting edge molecular and flow cytometry approaches, this project addresses the following questions: 1) How/why are Southern Ocean viral populations distributed across environmental gradients? 2a) Do viruses interfere with ""keystone"" metabolic pathways and biogeochemical processes of microbial communities in the Southern Ocean? 2b) Does nutrient availability or other environmental variables drive changes in virus-microbe infection networks in the Southern Ocean? Results will be used to develop and evaluate generative models of NCP predictions that incorporate the importance of viral traits and virus-host interactions. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria." proprietary
-USAP-2130663_1 2021 Antarctic Subsea Cable Workshop: High-Speed Connectivity Needs to Advance US Antarctic Science ALL STAC Catalog 2021-06-01 2023-05-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2556670196-AMD_USAPDC.umm_json Current networking capacity at McMurdo Station is insufficient to even be considered broadband, with a summer population of up to 1000 people sharing what is equivalent to the connection enjoyed by a typical family of three in the United States. The changing Antarctic ice sheets and Southern Ocean are large, complex systems that require cutting edge technology to do cutting edge research, with remote technology becoming increasingly useful and even necessary to monitor changes at sufficient spatial and temporal scales. Antarctic science also often involves large data-transfer needs not currently met by existing satellite communication infrastructure. This workshop will gather representatives from across Antarctic science disciplinesfrom astronomy to zoologyas well as research and education networking experts to explore the scientific advances that would be enabled through dramatically increased real-time network connectivity, and also consider opportunities for subsea cable instrumentation. This workshop will assess the importance of a subsea fiber optic cable for high-capacity real-time connectivity in the US Antarctic Program, which is at the forefront of some of the greatest climate-related challenges facing our planet. The workshop will: (1) document unmet or poorly met current scientific and logistic needs for connectivity; (2) explore connectivity needs for planned future research and note the scientific advances that would be possible if the full value of modern cyberinfrastructure-empowered research could be brought to the Antarctic research community; and (3) identify scientific opportunities in planning a fully instrumented communication cable as a scientific observatory. Due to the ongoing COVID-19 pandemic, the workshop will be hosted and streamed online. While the workshop will be limited to invited personnel in order to facilitate a collaborative working environment, broad community input will be sought via survey and via comment on draft outputs. A workshop summary document and report will be delivered to NSF. Increasing US Antarctic connectivity by orders of magnitude will be transformative for science and logistics, and it may well usher in a new era of Antarctic science that is more accessible, efficient and sustainable. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
USAP-2130663_1 2021 Antarctic Subsea Cable Workshop: High-Speed Connectivity Needs to Advance US Antarctic Science AMD_USAPDC STAC Catalog 2021-06-01 2023-05-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2556670196-AMD_USAPDC.umm_json Current networking capacity at McMurdo Station is insufficient to even be considered broadband, with a summer population of up to 1000 people sharing what is equivalent to the connection enjoyed by a typical family of three in the United States. The changing Antarctic ice sheets and Southern Ocean are large, complex systems that require cutting edge technology to do cutting edge research, with remote technology becoming increasingly useful and even necessary to monitor changes at sufficient spatial and temporal scales. Antarctic science also often involves large data-transfer needs not currently met by existing satellite communication infrastructure. This workshop will gather representatives from across Antarctic science disciplinesfrom astronomy to zoologyas well as research and education networking experts to explore the scientific advances that would be enabled through dramatically increased real-time network connectivity, and also consider opportunities for subsea cable instrumentation. This workshop will assess the importance of a subsea fiber optic cable for high-capacity real-time connectivity in the US Antarctic Program, which is at the forefront of some of the greatest climate-related challenges facing our planet. The workshop will: (1) document unmet or poorly met current scientific and logistic needs for connectivity; (2) explore connectivity needs for planned future research and note the scientific advances that would be possible if the full value of modern cyberinfrastructure-empowered research could be brought to the Antarctic research community; and (3) identify scientific opportunities in planning a fully instrumented communication cable as a scientific observatory. Due to the ongoing COVID-19 pandemic, the workshop will be hosted and streamed online. While the workshop will be limited to invited personnel in order to facilitate a collaborative working environment, broad community input will be sought via survey and via comment on draft outputs. A workshop summary document and report will be delivered to NSF. Increasing US Antarctic connectivity by orders of magnitude will be transformative for science and logistics, and it may well usher in a new era of Antarctic science that is more accessible, efficient and sustainable. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
+USAP-2130663_1 2021 Antarctic Subsea Cable Workshop: High-Speed Connectivity Needs to Advance US Antarctic Science ALL STAC Catalog 2021-06-01 2023-05-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2556670196-AMD_USAPDC.umm_json Current networking capacity at McMurdo Station is insufficient to even be considered broadband, with a summer population of up to 1000 people sharing what is equivalent to the connection enjoyed by a typical family of three in the United States. The changing Antarctic ice sheets and Southern Ocean are large, complex systems that require cutting edge technology to do cutting edge research, with remote technology becoming increasingly useful and even necessary to monitor changes at sufficient spatial and temporal scales. Antarctic science also often involves large data-transfer needs not currently met by existing satellite communication infrastructure. This workshop will gather representatives from across Antarctic science disciplinesfrom astronomy to zoologyas well as research and education networking experts to explore the scientific advances that would be enabled through dramatically increased real-time network connectivity, and also consider opportunities for subsea cable instrumentation. This workshop will assess the importance of a subsea fiber optic cable for high-capacity real-time connectivity in the US Antarctic Program, which is at the forefront of some of the greatest climate-related challenges facing our planet. The workshop will: (1) document unmet or poorly met current scientific and logistic needs for connectivity; (2) explore connectivity needs for planned future research and note the scientific advances that would be possible if the full value of modern cyberinfrastructure-empowered research could be brought to the Antarctic research community; and (3) identify scientific opportunities in planning a fully instrumented communication cable as a scientific observatory. Due to the ongoing COVID-19 pandemic, the workshop will be hosted and streamed online. While the workshop will be limited to invited personnel in order to facilitate a collaborative working environment, broad community input will be sought via survey and via comment on draft outputs. A workshop summary document and report will be delivered to NSF. Increasing US Antarctic connectivity by orders of magnitude will be transformative for science and logistics, and it may well usher in a new era of Antarctic science that is more accessible, efficient and sustainable. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
USAP-2132641_1 ANT LIA: Do Molecular Data Support High Endemism and Divergent Evolution of Antarctic Marine Nematodes and their Host-associated Microbiomes? AMD_USAPDC STAC Catalog 2022-07-15 2026-06-30 -180, -80, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2544555474-AMD_USAPDC.umm_json Nematode worms are abundant and ubiquitous in marine sediment habitats worldwide, performing key functions such as nutrient cycling and sediment stability. However, study of this phylum suffers from a perpetual and severe taxonomic deficit, with less than 5,000 formally described marine species. Fauna from the Southern Ocean are especially poorly studied due to limited sampling and the general inaccessibility of the Antarctic benthos. This study is providing the first large-scale molecular-based investigation from marine nematodes in the Eastern Antarctic continental shelf, providing an important comparative dataset for the existing body of historical (morphological) taxonomic studies. This project uses a combination of classical taxonomy (microscopy) and modern -omics tools to achieve three overarching aims: 1) determine if molecular data supports high biodiversity and endemism of benthic meiofauna in Antarctic benthic ecosystems; 2) determine the proportion of marine nematode species that have a deep-sea versus shallow-water evolutionary origin on the Antarctic shelf, and assess patterns of cryptic speciation in the Southern Ocean; and 3) determine the most important drivers of the host-associated microbiome in Antarctic marine nematodes. This project is designed to rapidly advance knowledge of the evolutionary origins of Antarctic meiofauna, provide insight on population-level patterns within key indicator genera, and elucidate the potential ecological and environmental factors which may influence microbiome patterns. Broader Impacts activities include an intensive cruise- and land-based outreach program focusing on social media engagement and digital outreach products, raising awareness of Antarctic marine ecosystems and understudied microbial-animal relationships. The diverse research team includes female scientists, first-generation college students, and Latinx trainees. proprietary
USAP-2133684_1 Collaborative Research: ANT LIA Integrating Genomic and Phenotypic Analyses to understand Microbial Life in Antarctic Soils AMD_USAPDC STAC Catalog 2022-04-01 2025-03-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2660035273-AMD_USAPDC.umm_json Not all of Antarctica is covered in ice. In fact, soils are common to many parts of Antarctica, and these soils are often unlike any others found on Earth. Antarctic soils harbor unique microorganisms able to cope with the extremely cold and dry conditions common to much of the continent. For decades, microbiologists have been drawn to the unique soils in Antarctica, yet critical knowledge gaps remain. Most notably, it is unclear what properties allow certain microbes to thrive in Antarctic soils. By using a range of methods, this project is developing comprehensive model that discovers the unique genomic features of soils diversity, distributions, and adaptations that allow Antarctic soil microbes to thrive in extreme environments. The proposed work will be relevant to researchers in many fields, including engineers seeking to develop new biotechnologies, ecologists studying the contributions of these microbial communities to the functioning of Antarctic ecosystems, microbiologists studying novel microbial adaptations to extreme environmental conditions, and even astrobiologists studying the potential for life on Mars. More generally, the proposed research presents an opportunity to advance our current understanding of the microbial life found in one of the more distinctive microbial habitats on Earth, a habitat that is inaccessible to many scientists and a habitat that is increasingly under threat from climate change. The research project explores the microbial diversity in Antarctic soils and links specific features to different soil types and environmental conditions. The overarching questions include: What microbial taxa are found in a variety of Antarctic environments? What are the environmental preferences of specific taxa or lineages? What are the genomic and phenotypic traits of microorganisms that allow them to persist in extreme environments and determine biogeographical differneces? This project will analyze archived soils collected from across Antarctica by a network of international collaborators, with samples selected to span broad gradients in soil and site conditions. The project uses cultivation-independent, high-throughput genomic analysis methods and cultivation-dependent approaches to analyze bacterial and fungal communities in soil samples. The results will be used to predict the distributions of specific taxa and lineages, obtain genomic information for the more ubiquitous and abundant taxa, and quantify growth responses in vitro across gradients in temperature, moisture, and salinity. This integration of ecological, environmental, genomic, and trait-based information will provide a comprehensive understanding of microbial life in Antarctic soils. This project will also help facilitate new collaborations between scientists across the globe while providing undergraduate students with ''hands-on'' research experiences that introduce the next generation of scientists to the field of Antarctic biology. This award reflects NSF''s statutory mission and has been deemed worthy of support through evaluation using the Foundation''s intellectual merit and broader impacts review criteria. proprietary
USAP-2141555_1 CAREER: Using Otolith Chemistry to Reveal the Life History of Antarctic Toothfish in the Ross Sea, Antarctica: Testing Fisheries and Climate Change Impacts on a Top Fish Predator AMD_USAPDC STAC Catalog 2022-05-01 2027-04-30 161, -79, -151, -71.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532075614-AMD_USAPDC.umm_json The Ross Sea, Antarctica, is one of the last large intact marine ecosystems left in the world, yet is facing increasing pressure from commercial fisheries and environmental change. It is the most productive stretch of the Southern Ocean, supporting an array of marine life, including Antarctic toothfish the regions top fish predator. While a commercial fishery for toothfish continues to grow in the Ross Sea, fundamental knowledge gaps remain regarding toothfish ecology and the impacts of toothfish fishing on the broader Ross Sea ecosystem. Recognizing the global value of the Ross Sea, a large (>2 million km2) marine protected area was adopted by the multi-national Commission for the Conservation of Antarctic Marine Living Resources in 2016. This research will fill a critical gap in the knowledge of Antarctic toothfish and deepen understanding of biological-physical interactions for fish ecology, while contributing to knowledge of impacts of fishing and environmental change on the Ross Sea system. This work will further provide innovative tools for studying connectivity among geographically distinct fish populations and for synthesizing and assessing the efficacy of a large-scale marine protected area. In developing an integrated research and education program in engaged scholarship, this project seeks to train the next generation of scholars to engage across the science-policy-public interface, engage with Southern Ocean stakeholders throughout the research process, and to deepen the publics appreciation of the Antarctic. A major research priority among Ross Sea scientists is to better understand the life history of the Antarctic toothfish and test the efficacy of the Ross Sea Marine Protected Area (MPA) in protecting against the impacts of overfishing and climate change. Like growth rings of a tree, fish ear bones, called otoliths, develop annual layers of calcium carbonate that incorporates elements from their environment. Otoliths offer information on the fishs growth and the surrounding ocean conditions. Hypothesizing that much of the Antarctic toothfish life cycle is structured by ocean circulation, this research employs a multi-disciplinary approach combining age and growth work with otolith chemistry testing, while also utilizing GIS mapping. The project will measure life history parameters as well as trace elements and stable isotopes in otoliths in three distinct sets collected over the last four decades in the Ross Sea. The information will be used to quantify the transport pathways Antarctic toothfish use across their life history, and across time, in the Ross Sea. The project will assess if toothfish populations from the Ross Sea are connected more widely across the Antarctic. By comparing life history and otolith chemistry data across time, the researchers will assess change in life history parameters and spatial dynamics and seek to infer if these changes are driven by fishing or climate change. Spatially mapping of these data will allow an assessment of the efficacy of the Ross Sea MPA in protecting toothfish and where further protections might be needed. This award reflects NSF''s statutory mission and has been deemed worthy of support through evaluation using the Foundation''s intellectual merit and broader impacts review criteria. proprietary
@@ -15520,14 +15522,14 @@ USGS-DDS-11 Geology of the Conterminous United States at 1:2,500,000 Scale -- A
USGS-DDS-18-A_1.0 National Geochemical Database: National Uranium Resource Evaluation Data for the Conterminous United States CEOS_EXTRA STAC Catalog 1970-01-01 -162, 24, -66, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2231552333-CEOS_EXTRA.umm_json This is an online version of a CD-ROM publication. It is intended for use only on DOS-based computer systems. The files must be downloaded onto your computer before they can be used. The files are presented here in two forms: as the original folders that were published on the CD-ROM and as a large zip file that you can use to download the entire product in one step. This publication contains National Uranium Resource Evaluation (NURE) data for the conterminous United States. The data has been compressed and requires GSSEARCH software for access. GSSEARCH, supplied below, runs only under DOS. [Summary provided by the USGS.] proprietary
USGS-DDS-19 Geology and Resource Assessment of Costa Rica at 1:500,000 Scale CEOS_EXTRA STAC Catalog 1970-01-01 -86, 8, -82, 11 https://cmr.earthdata.nasa.gov/search/concepts/C2231554233-CEOS_EXTRA.umm_json PROJECT OVERVIEW Conversion of the information from the original folio to a computerized digital format was undertaken to facilitate the presentation and analysis of earth-science data. Digital maps can be displayed at any scale or projection, whereas a paper map has a fixed scale and projection. However, most of the maps on this disc are not intended to be used at any scale more detailed than 1:500,000. A geographic information system (GIS) allows combining and overlaying of layers for analysis of spatial relations not readily apparent in the standard paper publication. Digital information on geology, geophysics, and geochemistry can be combined to create useful derivative products. HISTORY OF THE MAPS In 1986 and 1987, the U.S. Geological Survey (USGS), the Dirección General de Geología, Minas e Hidrocarburos, and the Universidad de Costa Rica conducted a mineral-resource assessment of the Republic of Costa Rica. The results were published as a large 80- by 50-cm color folio (U.S. Geological Survey and others, 1987). The 75-page document consists of maps as well as descriptive and interpretive text in English and Spanish covering physiographic, geologic, geochemical, geophysical, and mineral site themes as well as a mineral-resource assessment. The following maps are present in the original folio: 1) Physiographic base map at a scale of 1:500,000 with hypsography, place names, and drainage. 2) Geologic map at a scale of 1:500,000. 3) Regional geophysical maps, including gravity, aeromagnetic, and seismicity maps at various scales. 4) Mineral sites map at a scale of 1:500,000 showing mines, prospects, and occurrences. 5) Volcanological framework of the Tilarán region important for epithermal gold deposits at a scale of 1:100,000. 6) Rock sample locations, mining areas, and vein locations for several parts of the country. 7) Permissive areas delineated for selected mineral deposit types. 8) Digital elevation model. This CD-ROM contains most of the above maps; it lacks items 1 and 8 and the seismicity and aeromagnetic maps of item 3. The linework was digitized from preliminary and printed maps with GSMAP (Selner and Taylor, 1987), a USGS-authored program for map editing and publishing. Conversion from GSMAP to ARC/INFO was accomplished through the use of the GSMARC program (Green and Selner, 1988). The arcs and polygons were tagged using Alacarte (Wentworth and Fitzgibbon, 1991). [Summary provided by the USGS.] proprietary
USGS-DDS-27_1 Monthly average polar sea-ice concentration - USGS-DDS-27 CEOS_EXTRA STAC Catalog 1978-10-25 1991-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231553834-CEOS_EXTRA.umm_json The purpose of this data set is to provide paleoclimate researchers with a tool for estimating the average seasonal variation in sea-ice concentration in the modern polar oceans and for estimating the modern monthly sea-ice concentration at any given polar oceanic location. It is expected that these data will be compared with paleoclimate data derived from geological proxy measures such as faunal census analyses and stable-isotope analyses. The results can then be used to constrain general circulation models of climate change. This data set represents the results of calculations carried out on sea-ice-concentration data from the SMMR and SSM/I instruments. The original data were obtained from the National Snow and Ice Data Center (NSIDC). The data set also contains the source code of the programs that made the calculations. The objective was to derive monthly averages for the whole 13.25-year series (1978-1991) and to derive a composite series of monthly averages representing the variation of an average year. The resulting file set contains monthly images for each of the polar regions for each year, yielding 160 files for each pole, and composite monthly averages in which the years are combined, yielding 12 more files. Averaging the images in this way tends to reduce the number of grid cells that lack valid data; the composite averages are designed to suppress interannual variability. Also included in the data set are programs that can retrieve seasonal ice-concentration profiles at user-specified locations. These nongraphical data retrieval programs are provided in versions for UNIX, extended DOS, and Macintosh computers. Graphical browse utilities are included for the same computing platforms but require more sophisticated display systems. The data contained in this data set are derived from the Scanning Multichannel Microwave Radiometer (SMMR) and Special Sensor Microwave/ Imager (SSM/I) data produced by the National Snow and Ice Data Center (NSIDC) at the University of Colorado in cooperation with the U.S. National Aeronautics and Space Administration (NASA) and the U.S. National Oceanic and Atmospheric Administration (NOAA). The basic data come from satellites of the U.S. Air Force Defense Meteorological Satellite Program. NSIDC distributes three collections of sea- ice-concentration grids on CD-ROM: data from the Nimbus-7 SMMR (October 25, 1978 through August 20, 1987) are provided on volume 7 of the SMMR Polar Data series (NASA, 1992); data from the SSM/I are provided on two separate volumes, covering the periods from July 9 of 1987 to December 31 of 1989, and from January 1 of 1990 through December 31 of 1991, respectively. The NASATEAM data from revision 2 of the SSM/I CD-ROM's were used to create the present data set. SMMR images were collected every 2 to 3 days, whereas SSM/I data are provided in daily ice-concentration grids. Apart from a number of small gaps (5 or fewer days) in the record, the only long period for which no data are available is December 3 of 1987 through January 12 of 1988, inclusive. As ancillary data, the ETOPO5 global gridded elevation and bathymetry data (Edwards, 1989) were interpolated to the resolution of the NSIDC data; the interpolated topographic data are included. The images are provided in three formats: Hierarchical Data Format (HDF), a flexible scientific data format developed at the National Center for Supercomputing Applications; Graphics Interchange Format (GIF); and Macintosh PICT format. The ice- concentration grids are distributed by NSIDC in HDF format. proprietary
-USGS-DDS-3 A Geologic Map of the Sea Floor in Western Massachusetts Bay, Constructed from Digital Sidescan-Sonar Images, Photography, and Sediment Samples ALL STAC Catalog 1970-01-01 -71.5, 42, -70, 43 https://cmr.earthdata.nasa.gov/search/concepts/C2231550375-CEOS_EXTRA.umm_json This data set describes sea floor characteristics for the Western Massachusetts Bay. This data set was created using sidescan-sonar imagery, photography, and sediment samples. proprietary
USGS-DDS-3 A Geologic Map of the Sea Floor in Western Massachusetts Bay, Constructed from Digital Sidescan-Sonar Images, Photography, and Sediment Samples CEOS_EXTRA STAC Catalog 1970-01-01 -71.5, 42, -70, 43 https://cmr.earthdata.nasa.gov/search/concepts/C2231550375-CEOS_EXTRA.umm_json This data set describes sea floor characteristics for the Western Massachusetts Bay. This data set was created using sidescan-sonar imagery, photography, and sediment samples. proprietary
+USGS-DDS-3 A Geologic Map of the Sea Floor in Western Massachusetts Bay, Constructed from Digital Sidescan-Sonar Images, Photography, and Sediment Samples ALL STAC Catalog 1970-01-01 -71.5, 42, -70, 43 https://cmr.earthdata.nasa.gov/search/concepts/C2231550375-CEOS_EXTRA.umm_json This data set describes sea floor characteristics for the Western Massachusetts Bay. This data set was created using sidescan-sonar imagery, photography, and sediment samples. proprietary
USGS-DDS-33_1.0 3-D Reservoir Characterization of the House Creek Oil Field, Powder River Basin, Wyoming, V1.00 ALL STAC Catalog 1970-01-01 -111.4, 40.65, -103.7, 45.35 https://cmr.earthdata.nasa.gov/search/concepts/C2231553827-CEOS_EXTRA.umm_json "The Upper Cretaceous Sussex ""B"" sandstone was deposited as a probable transgressive-marine sand-ridge complex in a mid-shelf position. The ""B"" sandstone is bounded by upper and basal disconformities and encased in mudstones and low-porosity and low-permeability sandstones of the Cody Shale. Reservoir characteristics are controlled primarily by depositional and diagenetic heterogeneity at megascopic (field), macroscopic (well), and microscopic (rock sample) levels. To simplify, this means production of oil is controlled by stacking and interbedding of sandstone and mudstone beds and by geochemical changes through time that affect flow of fluids through the rock. More than 24.8 million barrels of oil (MMBO) have been produced from the Sussex ""B"" sandstone in the House Creek field, Powder River Basin, Wyoming. Greatest oil production, porosity, and permeability, the thickest reservoir sandstone intervals, and best lateral continuity of the primary reservoir facies are all located parallel and proximal to field axes. Decrease in reservoir quality west of the axes is due to greater heterogeneity from interbedding of low- and moderate-depositional-energy facies, with associated drop in porosity and permeability. Decrease in production east of the axes results primarily from a combination of seaward thinning of the primary reservoir facies and non-deposition of sand ridges. The House Creek field has two axis orientations; these are related to depositional patterns of the four sand ridges. Deposition of the ""B"" sandstone began in the southeastern corner of the field with sand ridge 1; axis orientation is about north 20 degrees west. Later-deposited sand ridges 2 through 4 are located west and north of sand ridge 1; their axis orientations are approximately north 32 degrees west. Progressive northward deposition of later sand ridges is probably concurrent with uplift of the northeast-trending Belle Fourche arch. Movement along the arch and of lineaments may have caused topographic highs that localized Sussex and Shannon deposition proximal to the arch. [Summary provided by the USGS.]" proprietary
USGS-DDS-33_1.0 3-D Reservoir Characterization of the House Creek Oil Field, Powder River Basin, Wyoming, V1.00 CEOS_EXTRA STAC Catalog 1970-01-01 -111.4, 40.65, -103.7, 45.35 https://cmr.earthdata.nasa.gov/search/concepts/C2231553827-CEOS_EXTRA.umm_json "The Upper Cretaceous Sussex ""B"" sandstone was deposited as a probable transgressive-marine sand-ridge complex in a mid-shelf position. The ""B"" sandstone is bounded by upper and basal disconformities and encased in mudstones and low-porosity and low-permeability sandstones of the Cody Shale. Reservoir characteristics are controlled primarily by depositional and diagenetic heterogeneity at megascopic (field), macroscopic (well), and microscopic (rock sample) levels. To simplify, this means production of oil is controlled by stacking and interbedding of sandstone and mudstone beds and by geochemical changes through time that affect flow of fluids through the rock. More than 24.8 million barrels of oil (MMBO) have been produced from the Sussex ""B"" sandstone in the House Creek field, Powder River Basin, Wyoming. Greatest oil production, porosity, and permeability, the thickest reservoir sandstone intervals, and best lateral continuity of the primary reservoir facies are all located parallel and proximal to field axes. Decrease in reservoir quality west of the axes is due to greater heterogeneity from interbedding of low- and moderate-depositional-energy facies, with associated drop in porosity and permeability. Decrease in production east of the axes results primarily from a combination of seaward thinning of the primary reservoir facies and non-deposition of sand ridges. The House Creek field has two axis orientations; these are related to depositional patterns of the four sand ridges. Deposition of the ""B"" sandstone began in the southeastern corner of the field with sand ridge 1; axis orientation is about north 20 degrees west. Later-deposited sand ridges 2 through 4 are located west and north of sand ridge 1; their axis orientations are approximately north 32 degrees west. Progressive northward deposition of later sand ridges is probably concurrent with uplift of the northeast-trending Belle Fourche arch. Movement along the arch and of lineaments may have caused topographic highs that localized Sussex and Shannon deposition proximal to the arch. [Summary provided by the USGS.]" proprietary
USGS-DDS-74_2.0 Long-term Oceanographic Observations in Western Massachusetts Bay Offshore of Boston, Massachusetts: Data Report for 1989-2002 CEOS_EXTRA STAC Catalog 1989-12-01 2002-12-01 -71, 42, -70.5, 42.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231551840-CEOS_EXTRA.umm_json Long-term oceanographic observations have been made at two locations in western Massachusetts Bay: (1) Site A (42ý 22.6' N, 70ý 47.0' W, 33 m water depth) from from 1989 to 2002, and (2) Site B (42ý 9.8' N, 70ý 38.4' W, 21 m deter depth) from 1997 to 2002. Site A is approximately 1 km south of the new ocean outfall that began discharging treated sewage effluent from the Boston metropolitan area into Massachusetts Bay in September 2000. These long-term oceanographic observations have been collected by the U.S. Geological Survey (USGS) in partnership with the Massachusetts Water Resources Authority (MWRA) and with logistical support from the U. S. Coast Guard (USCG). This report presents time series data collected through December 2002, updating a similar report that presented data through December 2000 (Butman and others, 2002). The long-term observations at these two stations are part of a USGS study designed to understand the transport and long-term fate of sediments and associated contaminants in the Massachusetts Bays (see //woodshole.er.usgs.gov/project-pages/bostonharbor / and Butman and Bothner, 1997). The long-term observations document seasonal and inter-annual changes in currents, hydrography, and suspended-matter concentration in western Massachusetts Bay, and the importance of infrequent catastrophic events, such as major storms or hurricanes, in sediment resuspension and transport. They also provide observations for testing numerical models of circulation. This data report presents a description of the field program and instrumentation, an overview of the data through summary plots and statistics, and the data in NetCDF and ASCII format for the period December 1989 through December 2002. The objective of this report is to make the data available in digital form, and to provide summary plots and statistics to facilitate browsing of the long-term data set . [Summary provided by the USGS.] proprietary
USGS-DDS-79 Coastal Erosion and Wetland Change in Louisiana: Selected USGS Products CEOS_EXTRA STAC Catalog 1970-01-01 -94.3, 28.67, -88.54, 33.29 https://cmr.earthdata.nasa.gov/search/concepts/C2231552152-CEOS_EXTRA.umm_json Louisiana contains 25 percent of the vegetated wetlands and 40 percent of the tidal wetlands in the 48 conterminous States. These critical natural systems are being lost. Louisiana leads the Nation in coastal erosion and wetland loss as a result of a complex combination of natural processes (e.g. storms, sea-level rise, subsidence) and manmade alterations to the Mississippi River and the wetlands over the past 200 years. Erosion of several of the barrier islands, which lie offshore of the estuaries and wetlands and buffer and protect these important ecosystems from the open marine environment, exceeds 20 meters/year. The average rate of shoreline erosion is over 10 meters/year. Within the past 100 years, Louisiana's barrier islands have decreased in area by more than 40 percent, and some islands have lost more than 75 percent of their land area. If these loss rates continue, several of the barriers are expected to erode completely within the next three decades. Their disappearance will contribute to further loss and deterioration of wetlands and back-barrier estuaries and increase the risk to infrastructure. Coastal wetland environments, which include associated bays and estuaries, support a rich harvest of renewable natural resources with an estimated annual value of over $1 billion. More than 30 percent of the Nation's fisheries come from these wetlands, as well as 25 percent of oil and gas coming through the wetlands. Louisiana also has the highest rate of wetland loss: 80 percent of the Nation's total loss of wetlands has occurred in this State. The rate of wetland loss in the Mississippi River delta plain is estimated to be about 70 square kilometers/year -- the equivalent of a football field every 20 minutes. If these rates continue, an estimated 4,000 square kilometers of wetlands will be lost in the next 50 years. Losses of this magnitude have direct implications on the Nation's energy supplies, economic security, and environmental integrity. Over the past two decades, the USGS, working in partnership with other scientists in universities and State agencies, has led the research effort to document barrier erosion and wetland loss and understand the natural and manmade causes responsible. Some products resulting from this research, included in this DVD, are providing the baseline data and information being used for Federal-State wetlands restoration programs underway and being planned. [Summary provided by the USGS.] proprietary
-USGS-DDS_30_P-10_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the San Joaquin Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -121.388916, 34.890034, -118.58517, 37.83907 https://cmr.earthdata.nasa.gov/search/concepts/C2231552106-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 10 (San Joaquin Basin) are listed here by play number, type, and name: Number Type Name 1001 conventional Pliocene Non-associated Gas 1002 conventional Southeast Stable Shelf 1003 conventional Lower Bakersfield Arch 1004 conventional West Side Fold Belt Sourced by Post-Lower Miocene Rocks. 1005 conventional West Side Fold Belt Sourced by Pre-Middle Miocene Rocks 1006 conventional Northeast Shelf of Neogene Basin 1007 conventional Northern Area Non-associated Gas 1008 conventional Tejon Platform 1009 conventional South End Thrust Salient 1010 conventional East Central Basin and Slope North of Bakersfield Arch 1011 conventional Deep Overpressured Fractured Rocks of West Side Fold and Overthrust Belt proprietary
USGS-DDS_30_P-10_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the San Joaquin Basin Province ALL STAC Catalog 1990-12-01 1990-12-01 -121.388916, 34.890034, -118.58517, 37.83907 https://cmr.earthdata.nasa.gov/search/concepts/C2231552106-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 10 (San Joaquin Basin) are listed here by play number, type, and name: Number Type Name 1001 conventional Pliocene Non-associated Gas 1002 conventional Southeast Stable Shelf 1003 conventional Lower Bakersfield Arch 1004 conventional West Side Fold Belt Sourced by Post-Lower Miocene Rocks. 1005 conventional West Side Fold Belt Sourced by Pre-Middle Miocene Rocks 1006 conventional Northeast Shelf of Neogene Basin 1007 conventional Northern Area Non-associated Gas 1008 conventional Tejon Platform 1009 conventional South End Thrust Salient 1010 conventional East Central Basin and Slope North of Bakersfield Arch 1011 conventional Deep Overpressured Fractured Rocks of West Side Fold and Overthrust Belt proprietary
+USGS-DDS_30_P-10_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the San Joaquin Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -121.388916, 34.890034, -118.58517, 37.83907 https://cmr.earthdata.nasa.gov/search/concepts/C2231552106-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 10 (San Joaquin Basin) are listed here by play number, type, and name: Number Type Name 1001 conventional Pliocene Non-associated Gas 1002 conventional Southeast Stable Shelf 1003 conventional Lower Bakersfield Arch 1004 conventional West Side Fold Belt Sourced by Post-Lower Miocene Rocks. 1005 conventional West Side Fold Belt Sourced by Pre-Middle Miocene Rocks 1006 conventional Northeast Shelf of Neogene Basin 1007 conventional Northern Area Non-associated Gas 1008 conventional Tejon Platform 1009 conventional South End Thrust Salient 1010 conventional East Central Basin and Slope North of Bakersfield Arch 1011 conventional Deep Overpressured Fractured Rocks of West Side Fold and Overthrust Belt proprietary
USGS-DDS_30_P10_conventional 1995 National Oil and Gas Assessment Conventional Plays within the San Joaquin Basin Province ALL STAC Catalog 1970-01-01 -121.388916, 34.890034, -118.58517, 37.83907 https://cmr.earthdata.nasa.gov/search/concepts/C2231550316-CEOS_EXTRA.umm_json The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. proprietary
USGS-DDS_30_P10_conventional 1995 National Oil and Gas Assessment Conventional Plays within the San Joaquin Basin Province CEOS_EXTRA STAC Catalog 1970-01-01 -121.388916, 34.890034, -118.58517, 37.83907 https://cmr.earthdata.nasa.gov/search/concepts/C2231550316-CEOS_EXTRA.umm_json The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. proprietary
USGS-DS-91_1.1 Depth to the Juan De Fuca Slab Beneath the Cascadia Subduction Margin: A 3-D Model for Sorting Earthquakes CEOS_EXTRA STAC Catalog 1970-01-01 -130, 40, -120, 51 https://cmr.earthdata.nasa.gov/search/concepts/C2231552778-CEOS_EXTRA.umm_json The USGS presents an updated model of the Juan de Fuca slab beneath southern British Columbia, Washington, Oregon, and northern California, and use this model to separate earthquakes occurring above and below the slab surface. The model is based on depth contours previously published by Flück and others (1997). Our model attempts to rectify a number of shortcomings in the original model and to update it with new work. The most significant improvements include (1) a gridded slab surface in geo-referenced (ArcGIS) format, (2) continuation of the slab surface to its full northern and southern edges, (3) extension of the slab surface from 50-km depth down to 110-km beneath the Cascade arc volcanoes, and (4) revision of the slab shape based on new seismic-reflection and seismic-refraction studies. We have used this surface to sort earthquakes and present some general observations and interpretations of seismicity patterns revealed by our analysis. In addition, we provide files of earthquakes above and below the slab surface and a 3-D animation or fly-through showing a shaded-relief map with plate boundaries, the slab surface, and hypocenters for use as a visualization tool. [Summary provided by the USGS.] proprietary
@@ -15557,42 +15559,42 @@ USGS_DDS-66_1.0 Assessment of the Alluvial Sediments in the Big Thompson River V
USGS_DDS-68 Coastal Vulnerability to Sea-Level Rise: A Preliminary Database for the U.S. Atlantic, Pacific, and Gulf of Mexico Coasts CEOS_EXTRA STAC Catalog 1970-01-01 -124.7608, 24.5485, -66.9578, 48.388 https://cmr.earthdata.nasa.gov/search/concepts/C2231553183-CEOS_EXTRA.umm_json "Coastal Changes Due to Sea-Level Rise: One of the most important applied problems in coastal geology today is determining the physical response of the coastline to sea-level rise. Predicting shoreline retreat, beach loss, cliff retreat, and land loss rates is critical to planning coastal zone management strategies and assessing biological impacts due to habitat change or destruction. Presently, long-term (>50 years) coastal planning and decision-making has been done piecemeal, if at all, for the nation's shoreline (National Research Council, 1990; 1995). Consequently, facilities are being located and entire communities are being developed without adequate consideration of the potential costs of protecting or relocating them from sea-level rise related erosion, flooding and storm damage. Recent estimates of future sea-level rise based on climate modeling (Wigley and Raper, 1992) suggest an increase in global eustatic sea-level of between 15 and 95 cm by 2100, with a ""best estimate"" of 50 cm (IPCC, 1995). This is more than double the rate of eustatic rise for the past century (Douglas, 1997; Peltier and Jiang, 1997). The prediction of coastal evolution is not straightforward. There is no standard methodology, and even the kinds of data required to make such predictions are the subject of much scientific debate. A number of predictive approaches have been used (National Research Council, 1990), including: 1. extrapolation of historical data (for example, coastal erosion rates); 2. static inundation modeling; 3. application of a simple geometric model (for example, the Bruun Rule); 4. application of a sediment dynamics/budget model; or 5. Monte Carlo (probabilistic) simulation based on parameterized physical forcing variables. Each of these approaches, however, has its shortcomings or can be shown to be invalid for certain applications (National Research Council, 1990). Similarly, the types of input data required vary widely, and for a given approach (for example, sediment budget), existing data may be indeterminate or may simply not exist (Klein and Nicholls, 1999). Furthermore, human manipulation of the coast in the form of beach nourishment, construction of seawalls, groins, and jetties, as well as coastal development itself, may dictate Federal, State and local priorities for coastal management without proper regard for geologic processes. Thus, the long-term decision to renourish or otherwise engineer a coastline may be the primary determining factor in how that coastal segment evolves. Variables Affecting Coastal Vulnerability: We use here a fairly simple classification of the relative vulnerability of different U.S. coastal environments to future rises in sea-level. This approach combines the coastal system's susceptibility to change with its natural ability to adapt to changing environmental conditions, and yields a relative measure of the system's natural vulnerability to the effects of sea-level rise (Klein and Nicholls, 1999). The vulnerability classification is based upon the relative contributions and interactions of six variables: 1. Tidal range, which contributes to inundation hazards. 2. Wave height, which is linked to inundation hazards. 3. Coastal slope (steepness or flatness of the coastal region), which is linked to the susceptibility of a coast to inundation by flooding and to the rapidity of shoreline retreat. 4. Shoreline erosion rates, which indicate how the given section of shoreline has been eroding. 5. Geomorphology, which indicates the relative erodibility of a given section of shoreline. 6. Historical rates of relative sea-level rise, which correspond to how the global (eustatic) sea-level rise and local tectonic processes (land motion such as uplift or subsidence) have affected a section of shoreline. The input data for this database of coastal vulnerability have been assembled using the original, and sometimes variable, horizontal resolution, which then was resampled to a 3-minute grid cell. A data set for each risk variable is then linked to each grid point. For mapping purposes, data stored in the 3-minute grid is transferred to a 1:2,000,000 vector shoreline with each segment of shoreline lying within a single grid cell. [Summary provided by the USGS.]" proprietary
USGS_DDS-72 Bathymetry and Acoustic Backscatter of Crater Lake, Oregon from Field Activity: S-1-00-OR CEOS_EXTRA STAC Catalog 2000-07-28 2000-08-03 -122.16555, 42.904907, -122.049835, 42.978516 https://cmr.earthdata.nasa.gov/search/concepts/C2231551066-CEOS_EXTRA.umm_json "These data are intended for science researchers, students, policy makers, and the general public. The data can be used with geographic information systems (GIS) or other software to display bathymetry and backscatter data of Crater Lake, Oregon. These data include high-resolution bathymetry and calibrated acoustic backscatter in XYZ ASCII and ArcInfo GRID format generated from the 2000 multibeam sonar survey of Crater Lake, Oregon. Information for USGS Coastal and Marine Geology related activities are online at ""http://walrus.wr.usgs.gov/infobank/s/s100or/html/s-1-00-or.meta.html"" These data not intended for navigational purposes. Please recognize the U.S. Geological Survey (USGS) as the source of this information. USGS-authored or produced data and information are in the public domain. Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, these data and information are provided with the understanding that they are not guaranteed to be usable, timely, accurate, or complete. Users are cautioned to consider carefully the provisional nature of these data and information before using them for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Conclusions drawn from, or actions undertaken on the basis of, such data and information are the sole responsibility of the user. Neither the U.S. Government nor any agency thereof, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any data, software, information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. Trade, firm, or product names and other references to non-USGS products and services are provided for information only and do not constitute endorsement or warranty, express or implied, by the USGS, USDOI, or U.S. Government, as to their suitability, content, usefulness, functioning, completeness, or accuracy." proprietary
USGS_DDS_10_1 Modern Average Global Sea-Surface Temperature CEOS_EXTRA STAC Catalog 1981-10-01 1989-12-31 -180, -66, 180, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2231552931-CEOS_EXTRA.umm_json The purpose of this data set is to provide paleoclimate researchers with a tool for estimating the average seasonal variation in sea-surface temperature (SST) throughout the modern world ocean and for estimating the modern monthly and weekly sea-surface temperature at any given oceanic location. It is expected that these data will be compared with temperature estimates derived from geological proxy measures such as faunal census analyses and stable isotopic analyses. The results can then be used to constrain general circulation models of climate change. The data contained in this data set are derived from the NOAA Advanced Very High Resolution Radiometer Multichannel Sea Surface Temperature data (AVHRR MCSST), which are obtainable from the Distributed Active Archive Center at the Jet Propulsion Laboratory (JPL) in Pasadena, Calif. The JPL tapes contain weekly images of SST from October 1981 through December 1990 in nine regions of the world ocean: North Atlantic, Eastern North Atlantic, South Atlantic, Agulhas, Indian, Southeast Pacific, Southwest Pacific, Northeast Pacific, and Northwest Pacific. This data set represents the results of calculations carried out on the NOAA data and also contains the source code of the programs that made the calculations. The objective was to derive the average sea-surface temperature of each month and week throughout the whole 10-year series, meaning, for example, that data from January of each year would be averaged together. The result is 12 monthly and 52 weekly images for each of the oceanic regions. Averaging the images in this way tends to reduce the number of grid cells that lack valid data and to suppress interannual variability. As ancillary data, the ETOPO5 global gridded elevation and bathymetry data (Edwards, 1989) were interpolated to the resolution of the SST data; the interpolated topographic data are included. The images are provided in three formats: a modified form of run-length encoding (MRLE), Graphics Interchange Format (GIF), and Macintosh PICT format. Also included in the data set are programs that can retrieve seasonal temperature profiles at user-specified locations and that can decompress the data files. These nongraphical SST retrieval programs are provided in versions for UNIX, MS-DOS, and Macintosh computers. Graphical browse utilities are included for users of UNIX with the X Window System, 80386- based PC's, and Macintosh computers. proprietary
-USGS_DDS_P12_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Santa Maria Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -121.977486, 34.488464, -119.44189, 36.40565 https://cmr.earthdata.nasa.gov/search/concepts/C2231553039-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 12 (Santa Maria Basin) are listed here by play number, type, and name: Number Type Name 1201 conventional Anticlinal Trends - Onshore 1202 conventional Basin Margin 1204 conventional Diagenetic 1211 conventional Anticlinal Trends - Offshore State Waters proprietary
USGS_DDS_P12_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Santa Maria Basin Province ALL STAC Catalog 1990-12-01 1990-12-01 -121.977486, 34.488464, -119.44189, 36.40565 https://cmr.earthdata.nasa.gov/search/concepts/C2231553039-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 12 (Santa Maria Basin) are listed here by play number, type, and name: Number Type Name 1201 conventional Anticlinal Trends - Onshore 1202 conventional Basin Margin 1204 conventional Diagenetic 1211 conventional Anticlinal Trends - Offshore State Waters proprietary
-USGS_DDS_P12_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Santa Maria Basin Province - USGS_DDS_P12_conventional ALL STAC Catalog 1996-01-01 1996-12-31 -121.977486, 34.488464, -119.44189, 36.40565 https://cmr.earthdata.nasa.gov/search/concepts/C2231551861-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 12 (Santa Maria Basin) are listed here by play number and name: Number Name 1201 Anticlinal Trends - Onshore 1202 Basin Margin 1204 Diagenetic 1211 Anticlinal Trends - Offshore State Waters proprietary
+USGS_DDS_P12_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Santa Maria Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -121.977486, 34.488464, -119.44189, 36.40565 https://cmr.earthdata.nasa.gov/search/concepts/C2231553039-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 12 (Santa Maria Basin) are listed here by play number, type, and name: Number Type Name 1201 conventional Anticlinal Trends - Onshore 1202 conventional Basin Margin 1204 conventional Diagenetic 1211 conventional Anticlinal Trends - Offshore State Waters proprietary
USGS_DDS_P12_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Santa Maria Basin Province - USGS_DDS_P12_conventional CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -121.977486, 34.488464, -119.44189, 36.40565 https://cmr.earthdata.nasa.gov/search/concepts/C2231551861-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 12 (Santa Maria Basin) are listed here by play number and name: Number Name 1201 Anticlinal Trends - Onshore 1202 Basin Margin 1204 Diagenetic 1211 Anticlinal Trends - Offshore State Waters proprietary
-USGS_DDS_P13_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Ventura Basin Province ALL STAC Catalog 1990-12-01 1990-12-01 -120.58227, 33.84158, -117.37425, 34.824276 https://cmr.earthdata.nasa.gov/search/concepts/C2231554781-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 13 (Ventura Basin) are listed here by play number, type, and name: Number Type Name 1301 conventional Paleogene - Onshore 1302 conventional Neogene - Onshore 1304 conventional Cretaceous 1311 conventional Paleogene - Offshore State Waters 1312 conventional Neogene - Offshore State Waters proprietary
+USGS_DDS_P12_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Santa Maria Basin Province - USGS_DDS_P12_conventional ALL STAC Catalog 1996-01-01 1996-12-31 -121.977486, 34.488464, -119.44189, 36.40565 https://cmr.earthdata.nasa.gov/search/concepts/C2231551861-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 12 (Santa Maria Basin) are listed here by play number and name: Number Name 1201 Anticlinal Trends - Onshore 1202 Basin Margin 1204 Diagenetic 1211 Anticlinal Trends - Offshore State Waters proprietary
USGS_DDS_P13_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Ventura Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -120.58227, 33.84158, -117.37425, 34.824276 https://cmr.earthdata.nasa.gov/search/concepts/C2231554781-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 13 (Ventura Basin) are listed here by play number, type, and name: Number Type Name 1301 conventional Paleogene - Onshore 1302 conventional Neogene - Onshore 1304 conventional Cretaceous 1311 conventional Paleogene - Offshore State Waters 1312 conventional Neogene - Offshore State Waters proprietary
-USGS_DDS_P13_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Ventura Basin Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -120.58227, 33.84158, -117.37425, 34.824276 https://cmr.earthdata.nasa.gov/search/concepts/C2231550109-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 13 (Ventura Basin) are listed here by play number and name: Number Name 1301 Paleogene - Onshore 1302 Neogene - Onshore 1304 Cretaceous 1311 Paleogene - Offshore State Waters 1312 Neogene - Offshore State Waters proprietary
+USGS_DDS_P13_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Ventura Basin Province ALL STAC Catalog 1990-12-01 1990-12-01 -120.58227, 33.84158, -117.37425, 34.824276 https://cmr.earthdata.nasa.gov/search/concepts/C2231554781-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 13 (Ventura Basin) are listed here by play number, type, and name: Number Type Name 1301 conventional Paleogene - Onshore 1302 conventional Neogene - Onshore 1304 conventional Cretaceous 1311 conventional Paleogene - Offshore State Waters 1312 conventional Neogene - Offshore State Waters proprietary
USGS_DDS_P13_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Ventura Basin Province ALL STAC Catalog 1996-01-01 1996-12-31 -120.58227, 33.84158, -117.37425, 34.824276 https://cmr.earthdata.nasa.gov/search/concepts/C2231550109-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 13 (Ventura Basin) are listed here by play number and name: Number Name 1301 Paleogene - Onshore 1302 Neogene - Onshore 1304 Cretaceous 1311 Paleogene - Offshore State Waters 1312 Neogene - Offshore State Waters proprietary
+USGS_DDS_P13_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Ventura Basin Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -120.58227, 33.84158, -117.37425, 34.824276 https://cmr.earthdata.nasa.gov/search/concepts/C2231550109-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 13 (Ventura Basin) are listed here by play number and name: Number Name 1301 Paleogene - Onshore 1302 Neogene - Onshore 1304 Cretaceous 1311 Paleogene - Offshore State Waters 1312 Neogene - Offshore State Waters proprietary
USGS_DDS_P14_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Los Angeles Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -119.63631, 32.7535, -117.52315, 34.17464 https://cmr.earthdata.nasa.gov/search/concepts/C2231552049-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 14 (Los Angeles Basin) are listed here by play number, type, and name: Number Type Name 1401 conventional Santa Monica Fault System and Las Cienegas Fault and Block 1402 conventional Southwestern Shelf and Adjacent Offshore State Lands 1403 conventional Newport-Inglewood Deformation Zone and Southwestern Flank of Central Syncline 1404 conventional Whittier Fault Zone and Fullerton Embayment 1405 conventional Northern Shelf and Northern Flank of Central Syncline 1406 conventional Anaheim Nose 1407 conventional Chino Marginal Basin, Puente and San Jose Hills, and San Gabriel Valley Marginal Basin proprietary
USGS_DDS_P14_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Los Angeles Basin Province ALL STAC Catalog 1990-12-01 1990-12-01 -119.63631, 32.7535, -117.52315, 34.17464 https://cmr.earthdata.nasa.gov/search/concepts/C2231552049-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 14 (Los Angeles Basin) are listed here by play number, type, and name: Number Type Name 1401 conventional Santa Monica Fault System and Las Cienegas Fault and Block 1402 conventional Southwestern Shelf and Adjacent Offshore State Lands 1403 conventional Newport-Inglewood Deformation Zone and Southwestern Flank of Central Syncline 1404 conventional Whittier Fault Zone and Fullerton Embayment 1405 conventional Northern Shelf and Northern Flank of Central Syncline 1406 conventional Anaheim Nose 1407 conventional Chino Marginal Basin, Puente and San Jose Hills, and San Gabriel Valley Marginal Basin proprietary
USGS_DDS_P14_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Los Angeles Basin Province ALL STAC Catalog 1996-01-01 1996-12-31 -119.63631, 32.7535, -117.52315, 34.17464 https://cmr.earthdata.nasa.gov/search/concepts/C2231554068-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 14 (Los Angeles Basin) are listed here by play number and name: Number Name 1401 Santa Monica Fault System and Las Cienegas Fault and Block 1402 Southwestern Shelf and Adjacent Offshore State Lands 1403 Newport-Inglewood Deformation Zone and Southwestern Flank of Central Syncline 1404 Whittier Fault Zone and Fullerton Embayment 1405 Northern Shelf and Northern Flank of Central Syncline 1406 Anaheim Nose 1407 Chino Marginal Basin, Puente and San Jose Hills, and San Gabriel Valley Marginal Basin proprietary
USGS_DDS_P14_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Los Angeles Basin Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -119.63631, 32.7535, -117.52315, 34.17464 https://cmr.earthdata.nasa.gov/search/concepts/C2231554068-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 14 (Los Angeles Basin) are listed here by play number and name: Number Name 1401 Santa Monica Fault System and Las Cienegas Fault and Block 1402 Southwestern Shelf and Adjacent Offshore State Lands 1403 Newport-Inglewood Deformation Zone and Southwestern Flank of Central Syncline 1404 Whittier Fault Zone and Fullerton Embayment 1405 Northern Shelf and Northern Flank of Central Syncline 1406 Anaheim Nose 1407 Chino Marginal Basin, Puente and San Jose Hills, and San Gabriel Valley Marginal Basin proprietary
-USGS_DDS_P15_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the San Diego - Oceanside Province ALL STAC Catalog 1990-12-01 1990-12-01 -117.75433, 32.527184, -115.904816, 34.236046 https://cmr.earthdata.nasa.gov/search/concepts/C2231553715-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 15 (San Diego - Oceanside) are listed here by play number, type, and name. proprietary
USGS_DDS_P15_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the San Diego - Oceanside Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -117.75433, 32.527184, -115.904816, 34.236046 https://cmr.earthdata.nasa.gov/search/concepts/C2231553715-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 15 (San Diego - Oceanside) are listed here by play number, type, and name. proprietary
+USGS_DDS_P15_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the San Diego - Oceanside Province ALL STAC Catalog 1990-12-01 1990-12-01 -117.75433, 32.527184, -115.904816, 34.236046 https://cmr.earthdata.nasa.gov/search/concepts/C2231553715-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 15 (San Diego - Oceanside) are listed here by play number, type, and name. proprietary
USGS_DDS_P16_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Salton Trough Province ALL STAC Catalog 1990-12-01 1990-12-01 -116.66911, 32.634293, -114.74501, 34.02059 https://cmr.earthdata.nasa.gov/search/concepts/C2231548651-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 16 (Salton Trough) are listed here by play number, type, and name. proprietary
USGS_DDS_P16_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Salton Trough Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -116.66911, 32.634293, -114.74501, 34.02059 https://cmr.earthdata.nasa.gov/search/concepts/C2231548651-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 16 (Salton Trough) are listed here by play number, type, and name. proprietary
USGS_DDS_P17_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Idaho - Snake River Downwarp Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -117.24303, 41.99332, -111.04548, 49.00115 https://cmr.earthdata.nasa.gov/search/concepts/C2231550494-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 17 (Idaho - Snake River Downwarp) are listed here by play number, type, and name: Number Type Name 1701 conventional Miocene Lacustrine (Lake Bruneau) 1702 conventional Pliocene Lacustrine (Lake Idaho) 1703 conventional Pre-Miocene 1704 conventional Older Tertiary proprietary
USGS_DDS_P17_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Idaho - Snake River Downwarp Province ALL STAC Catalog 1990-12-01 1990-12-01 -117.24303, 41.99332, -111.04548, 49.00115 https://cmr.earthdata.nasa.gov/search/concepts/C2231550494-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 17 (Idaho - Snake River Downwarp) are listed here by play number, type, and name: Number Type Name 1701 conventional Miocene Lacustrine (Lake Bruneau) 1702 conventional Pliocene Lacustrine (Lake Idaho) 1703 conventional Pre-Miocene 1704 conventional Older Tertiary proprietary
-USGS_DDS_P17_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Idaho - Snake River Downwarp Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -117.24303, 41.99332, -111.04548, 49.00115 https://cmr.earthdata.nasa.gov/search/concepts/C2231548537-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 17 (Idaho - Snake River Downwarp) are listed here by play number and name: Number Name 1701 Miocene Lacustrine (Lake Bruneau) 1702 Pliocene Lacustrine (Lake Idaho) 1703 Pre-Miocene 1704 Older Tertiary proprietary
USGS_DDS_P17_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Idaho - Snake River Downwarp Province ALL STAC Catalog 1996-01-01 1996-12-31 -117.24303, 41.99332, -111.04548, 49.00115 https://cmr.earthdata.nasa.gov/search/concepts/C2231548537-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 17 (Idaho - Snake River Downwarp) are listed here by play number and name: Number Name 1701 Miocene Lacustrine (Lake Bruneau) 1702 Pliocene Lacustrine (Lake Idaho) 1703 Pre-Miocene 1704 Older Tertiary proprietary
+USGS_DDS_P17_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Idaho - Snake River Downwarp Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -117.24303, 41.99332, -111.04548, 49.00115 https://cmr.earthdata.nasa.gov/search/concepts/C2231548537-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 17 (Idaho - Snake River Downwarp) are listed here by play number and name: Number Name 1701 Miocene Lacustrine (Lake Bruneau) 1702 Pliocene Lacustrine (Lake Idaho) 1703 Pre-Miocene 1704 Older Tertiary proprietary
USGS_DDS_P18_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Western Great Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -122.29004, 32.717037, -114.13121, 44.563953 https://cmr.earthdata.nasa.gov/search/concepts/C2231554181-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 18 (Western Great Basin) are listed here by play number, type, and name: Number Type Name 1801 conventional Hornbrook Basin-Modoc Plateau 1802 conventional Eastern Oregon Neogene Basins 1803 conventional Permian-Triassic Source Rocks Northwestern Nevada and East Central and Eastern Oregon 1804 conventional Cretaceous Source Rocks, Northwestern Nevada 1805 conventional Neogene Source Rocks, Northwestern Nevada and Eastern California proprietary
USGS_DDS_P18_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Western Great Basin Province ALL STAC Catalog 1990-12-01 1990-12-01 -122.29004, 32.717037, -114.13121, 44.563953 https://cmr.earthdata.nasa.gov/search/concepts/C2231554181-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 18 (Western Great Basin) are listed here by play number, type, and name: Number Type Name 1801 conventional Hornbrook Basin-Modoc Plateau 1802 conventional Eastern Oregon Neogene Basins 1803 conventional Permian-Triassic Source Rocks Northwestern Nevada and East Central and Eastern Oregon 1804 conventional Cretaceous Source Rocks, Northwestern Nevada 1805 conventional Neogene Source Rocks, Northwestern Nevada and Eastern California proprietary
-USGS_DDS_P18_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Western Great Basin Province ALL STAC Catalog 1996-01-01 1996-12-31 -122.29004, 32.717037, -114.13121, 44.563953 https://cmr.earthdata.nasa.gov/search/concepts/C2231549693-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 18 (Western Great Basin) are listed here by play number and name: Number Name 1801 Hornbrook Basin-Modoc Plateau 1802 Eastern Oregon Neogene Basins 1803 Permian-Triassic Source Rocks Northwestern Nevada and East Central and Eastern Oregon 1804 Cretaceous Source Rocks, Northwestern Nevada 1805 Neogene Source Rocks, Northwestern Nevada and Eastern California proprietary
USGS_DDS_P18_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Western Great Basin Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -122.29004, 32.717037, -114.13121, 44.563953 https://cmr.earthdata.nasa.gov/search/concepts/C2231549693-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 18 (Western Great Basin) are listed here by play number and name: Number Name 1801 Hornbrook Basin-Modoc Plateau 1802 Eastern Oregon Neogene Basins 1803 Permian-Triassic Source Rocks Northwestern Nevada and East Central and Eastern Oregon 1804 Cretaceous Source Rocks, Northwestern Nevada 1805 Neogene Source Rocks, Northwestern Nevada and Eastern California proprietary
-USGS_DDS_P19_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Eastern Great Basin Province ALL STAC Catalog 1990-12-01 1990-12-01 -117.02622, 35.002083, -111.170425, 43.022377 https://cmr.earthdata.nasa.gov/search/concepts/C2231552402-CEOS_EXTRA.umm_json "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number, type, and name: Number Type Name 1901 conventional Unconformity ""A"" 1902 conventional Late Paleozoic 1903 conventional Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 conventional Younger Tertiary Basins 1906 conventional Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 conventional Sevier Frontal Zone" proprietary
+USGS_DDS_P18_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Western Great Basin Province ALL STAC Catalog 1996-01-01 1996-12-31 -122.29004, 32.717037, -114.13121, 44.563953 https://cmr.earthdata.nasa.gov/search/concepts/C2231549693-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 18 (Western Great Basin) are listed here by play number and name: Number Name 1801 Hornbrook Basin-Modoc Plateau 1802 Eastern Oregon Neogene Basins 1803 Permian-Triassic Source Rocks Northwestern Nevada and East Central and Eastern Oregon 1804 Cretaceous Source Rocks, Northwestern Nevada 1805 Neogene Source Rocks, Northwestern Nevada and Eastern California proprietary
USGS_DDS_P19_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Eastern Great Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -117.02622, 35.002083, -111.170425, 43.022377 https://cmr.earthdata.nasa.gov/search/concepts/C2231552402-CEOS_EXTRA.umm_json "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number, type, and name: Number Type Name 1901 conventional Unconformity ""A"" 1902 conventional Late Paleozoic 1903 conventional Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 conventional Younger Tertiary Basins 1906 conventional Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 conventional Sevier Frontal Zone" proprietary
-USGS_DDS_P19_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Eastern Great Basin Province ALL STAC Catalog 1996-01-01 1996-12-31 -117.02622, 35.002083, -111.170425, 43.022377 https://cmr.earthdata.nasa.gov/search/concepts/C2231551249-CEOS_EXTRA.umm_json "The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number and name: Number Name 1901 Unconformity ""A"" 1902 Late Paleozoic 1903 Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 Younger Tertiary Basins 1906 Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 Sevier Frontal Zone" proprietary
+USGS_DDS_P19_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Eastern Great Basin Province ALL STAC Catalog 1990-12-01 1990-12-01 -117.02622, 35.002083, -111.170425, 43.022377 https://cmr.earthdata.nasa.gov/search/concepts/C2231552402-CEOS_EXTRA.umm_json "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number, type, and name: Number Type Name 1901 conventional Unconformity ""A"" 1902 conventional Late Paleozoic 1903 conventional Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 conventional Younger Tertiary Basins 1906 conventional Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 conventional Sevier Frontal Zone" proprietary
USGS_DDS_P19_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Eastern Great Basin Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -117.02622, 35.002083, -111.170425, 43.022377 https://cmr.earthdata.nasa.gov/search/concepts/C2231551249-CEOS_EXTRA.umm_json "The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number and name: Number Name 1901 Unconformity ""A"" 1902 Late Paleozoic 1903 Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 Younger Tertiary Basins 1906 Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 Sevier Frontal Zone" proprietary
-USGS_DDS_P20_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Uinta - Piceance Basin Province ALL STAC Catalog 1990-12-01 1990-12-01 -111.486916, 38.14689, -105.87804, 40.85869 https://cmr.earthdata.nasa.gov/search/concepts/C2231553991-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number, type, and name: Number Type Name 2001 conventional Piceance Tertiary Conventional 2002 conventional Uinta Tertiary Oil and Gas 2003 conventional Upper Cretaceous Conventional 2004 conventional Cretaceous Dakota to Jurassic 2005 conventional Permian-Pennsylvanian Sandstones and Carbonates 2007 continuous Tight Gas Piceance Mesaverde Williams Fork 2009 continuous Cretaceous Self-Sourced Fractured Shales Oil 2010 continuous Tight Gas Piceance Mesaverde Iles 2014 conventional Basin Margin Subthrusts 2015 continuous Tight Gas Uinta Tertiary East 2016 continuous Tight Gas Uinta Tertiary West 2018 continuous Basin Flank Uinta Mesaverde 2020 continuous Deep Synclinal Uinta Mesaverde 2050 coalbed gas Uinta Basin - Book Cliffs 2051 coalbed gas Uinta Basin - Sego 2052 coalbed gas Uinta Basin - Emery 2053 coalbed gas Piceance Basin - White River Dome 2054 coalbed gas Piceance Basin - Western Basin Margin 2055 coalbed gas Piceance Basin - Grand Hogback 2056 coalbed gas Piceance Basin - Divide Creek Anticline 2057 coalbed gas Piceance Basin - Igneous Intrusion proprietary
+USGS_DDS_P19_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Eastern Great Basin Province ALL STAC Catalog 1996-01-01 1996-12-31 -117.02622, 35.002083, -111.170425, 43.022377 https://cmr.earthdata.nasa.gov/search/concepts/C2231551249-CEOS_EXTRA.umm_json "The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number and name: Number Name 1901 Unconformity ""A"" 1902 Late Paleozoic 1903 Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 Younger Tertiary Basins 1906 Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 Sevier Frontal Zone" proprietary
USGS_DDS_P20_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Uinta - Piceance Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -111.486916, 38.14689, -105.87804, 40.85869 https://cmr.earthdata.nasa.gov/search/concepts/C2231553991-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number, type, and name: Number Type Name 2001 conventional Piceance Tertiary Conventional 2002 conventional Uinta Tertiary Oil and Gas 2003 conventional Upper Cretaceous Conventional 2004 conventional Cretaceous Dakota to Jurassic 2005 conventional Permian-Pennsylvanian Sandstones and Carbonates 2007 continuous Tight Gas Piceance Mesaverde Williams Fork 2009 continuous Cretaceous Self-Sourced Fractured Shales Oil 2010 continuous Tight Gas Piceance Mesaverde Iles 2014 conventional Basin Margin Subthrusts 2015 continuous Tight Gas Uinta Tertiary East 2016 continuous Tight Gas Uinta Tertiary West 2018 continuous Basin Flank Uinta Mesaverde 2020 continuous Deep Synclinal Uinta Mesaverde 2050 coalbed gas Uinta Basin - Book Cliffs 2051 coalbed gas Uinta Basin - Sego 2052 coalbed gas Uinta Basin - Emery 2053 coalbed gas Piceance Basin - White River Dome 2054 coalbed gas Piceance Basin - Western Basin Margin 2055 coalbed gas Piceance Basin - Grand Hogback 2056 coalbed gas Piceance Basin - Divide Creek Anticline 2057 coalbed gas Piceance Basin - Igneous Intrusion proprietary
-USGS_DDS_P20_continuous 1995 National Oil and Gas Assessment Continuous-Type Plays within the Uinta - Piceance Basin Province ALL STAC Catalog 1996-01-01 1996-12-31 -111.486916, 38.14689, -105.87804, 40.85869 https://cmr.earthdata.nasa.gov/search/concepts/C2231554716-CEOS_EXTRA.umm_json The purpose of the play map is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Continuous oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number and name: Number Name 2007 Tight Gas Piceance Mesaverde Williams Fork 2009 Cretaceous Self-Sourced Fractured Shales Oil 2010 Tight Gas Piceance Mesaverde Iles 2015 Tight Gas Uinta Tertiary East 2016 Tight Gas Uinta Tertiary West 2018 Basin Flank Uinta Mesaverde 2020 Deep Synclinal Uinta Mesaverde 2050 Uinta Basin - Book Cliffs 2051 Uinta Basin - Sego 2052 Uinta Basin - Emery 2053 Piceance Basin - White River Dome 2054 Piceance Basin - Western Basin Margin 2055 Piceance Basin - Grand Hogback 2056 Piceance Basin - Divide Creek Anticline 2057 Piceance Basin - Igneous Intrusion proprietary
+USGS_DDS_P20_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Uinta - Piceance Basin Province ALL STAC Catalog 1990-12-01 1990-12-01 -111.486916, 38.14689, -105.87804, 40.85869 https://cmr.earthdata.nasa.gov/search/concepts/C2231553991-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number, type, and name: Number Type Name 2001 conventional Piceance Tertiary Conventional 2002 conventional Uinta Tertiary Oil and Gas 2003 conventional Upper Cretaceous Conventional 2004 conventional Cretaceous Dakota to Jurassic 2005 conventional Permian-Pennsylvanian Sandstones and Carbonates 2007 continuous Tight Gas Piceance Mesaverde Williams Fork 2009 continuous Cretaceous Self-Sourced Fractured Shales Oil 2010 continuous Tight Gas Piceance Mesaverde Iles 2014 conventional Basin Margin Subthrusts 2015 continuous Tight Gas Uinta Tertiary East 2016 continuous Tight Gas Uinta Tertiary West 2018 continuous Basin Flank Uinta Mesaverde 2020 continuous Deep Synclinal Uinta Mesaverde 2050 coalbed gas Uinta Basin - Book Cliffs 2051 coalbed gas Uinta Basin - Sego 2052 coalbed gas Uinta Basin - Emery 2053 coalbed gas Piceance Basin - White River Dome 2054 coalbed gas Piceance Basin - Western Basin Margin 2055 coalbed gas Piceance Basin - Grand Hogback 2056 coalbed gas Piceance Basin - Divide Creek Anticline 2057 coalbed gas Piceance Basin - Igneous Intrusion proprietary
USGS_DDS_P20_continuous 1995 National Oil and Gas Assessment Continuous-Type Plays within the Uinta - Piceance Basin Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -111.486916, 38.14689, -105.87804, 40.85869 https://cmr.earthdata.nasa.gov/search/concepts/C2231554716-CEOS_EXTRA.umm_json The purpose of the play map is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Continuous oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number and name: Number Name 2007 Tight Gas Piceance Mesaverde Williams Fork 2009 Cretaceous Self-Sourced Fractured Shales Oil 2010 Tight Gas Piceance Mesaverde Iles 2015 Tight Gas Uinta Tertiary East 2016 Tight Gas Uinta Tertiary West 2018 Basin Flank Uinta Mesaverde 2020 Deep Synclinal Uinta Mesaverde 2050 Uinta Basin - Book Cliffs 2051 Uinta Basin - Sego 2052 Uinta Basin - Emery 2053 Piceance Basin - White River Dome 2054 Piceance Basin - Western Basin Margin 2055 Piceance Basin - Grand Hogback 2056 Piceance Basin - Divide Creek Anticline 2057 Piceance Basin - Igneous Intrusion proprietary
+USGS_DDS_P20_continuous 1995 National Oil and Gas Assessment Continuous-Type Plays within the Uinta - Piceance Basin Province ALL STAC Catalog 1996-01-01 1996-12-31 -111.486916, 38.14689, -105.87804, 40.85869 https://cmr.earthdata.nasa.gov/search/concepts/C2231554716-CEOS_EXTRA.umm_json The purpose of the play map is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Continuous oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number and name: Number Name 2007 Tight Gas Piceance Mesaverde Williams Fork 2009 Cretaceous Self-Sourced Fractured Shales Oil 2010 Tight Gas Piceance Mesaverde Iles 2015 Tight Gas Uinta Tertiary East 2016 Tight Gas Uinta Tertiary West 2018 Basin Flank Uinta Mesaverde 2020 Deep Synclinal Uinta Mesaverde 2050 Uinta Basin - Book Cliffs 2051 Uinta Basin - Sego 2052 Uinta Basin - Emery 2053 Piceance Basin - White River Dome 2054 Piceance Basin - Western Basin Margin 2055 Piceance Basin - Grand Hogback 2056 Piceance Basin - Divide Creek Anticline 2057 Piceance Basin - Igneous Intrusion proprietary
USGS_DDS_P20_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Uinta - Piceance Basin Province ALL STAC Catalog 1996-01-01 1996-12-31 -111.486916, 38.14689, -105.87804, 40.85869 https://cmr.earthdata.nasa.gov/search/concepts/C2231552272-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number and name: Number Name 2001 Piceance Tertiary Conventional 2002 Uinta Tertiary Oil and Gas 2003 Upper Cretaceous Conventional 2004 Cretaceous Dakota to Jurassic 2005 Permian-Pennsylvanian Sandstones and Carbonates 2014 Basin Margin Subthrusts proprietary
USGS_DDS_P20_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Uinta - Piceance Basin Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -111.486916, 38.14689, -105.87804, 40.85869 https://cmr.earthdata.nasa.gov/search/concepts/C2231552272-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number and name: Number Name 2001 Piceance Tertiary Conventional 2002 Uinta Tertiary Oil and Gas 2003 Upper Cretaceous Conventional 2004 Cretaceous Dakota to Jurassic 2005 Permian-Pennsylvanian Sandstones and Carbonates 2014 Basin Margin Subthrusts proprietary
-USGS_DDS_P2_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Alaska Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -173.22636, 58.49761, -140.99017, 68.01999 https://cmr.earthdata.nasa.gov/search/concepts/C2231550471-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 2 (Central Alaska) are listed here by play number, type, and name: Number Type Name 201 conventional Central Alaska Cenozoic Gas 202 conventional Central Alaska Mesozoic Gas 203 conventional Central Alaska Paleozoic Oil 204 conventional Kandik Pre-Mid-Cretaceous Strata 205 conventional Kandik Upper Cretaceous and Tertiary Non-Marine Stata proprietary
USGS_DDS_P2_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Alaska Province ALL STAC Catalog 1990-12-01 1990-12-01 -173.22636, 58.49761, -140.99017, 68.01999 https://cmr.earthdata.nasa.gov/search/concepts/C2231550471-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 2 (Central Alaska) are listed here by play number, type, and name: Number Type Name 201 conventional Central Alaska Cenozoic Gas 202 conventional Central Alaska Mesozoic Gas 203 conventional Central Alaska Paleozoic Oil 204 conventional Kandik Pre-Mid-Cretaceous Strata 205 conventional Kandik Upper Cretaceous and Tertiary Non-Marine Stata proprietary
+USGS_DDS_P2_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Alaska Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -173.22636, 58.49761, -140.99017, 68.01999 https://cmr.earthdata.nasa.gov/search/concepts/C2231550471-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 2 (Central Alaska) are listed here by play number, type, and name: Number Type Name 201 conventional Central Alaska Cenozoic Gas 202 conventional Central Alaska Mesozoic Gas 203 conventional Central Alaska Paleozoic Oil 204 conventional Kandik Pre-Mid-Cretaceous Strata 205 conventional Kandik Upper Cretaceous and Tertiary Non-Marine Stata proprietary
USGS_DDS_P2_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Central Alaska Province ALL STAC Catalog 1996-01-01 1996-12-31 -173.22636, 58.49761, -140.99017, 68.01999 https://cmr.earthdata.nasa.gov/search/concepts/C2231551071-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 2 (Central Alaska) are listed here by play number and name: Number Name 201 Central Alaska Cenozoic Gas 202 Central Alaska Mesozoic Gas 203 Central Alaska Paleozoic Oil 204 Kandik Pre-Mid-Cretaceous Strata 205 Kandik Upper Cretaceous and Tertiary Non-Marine Stata proprietary
USGS_DDS_P2_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Central Alaska Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -173.22636, 58.49761, -140.99017, 68.01999 https://cmr.earthdata.nasa.gov/search/concepts/C2231551071-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 2 (Central Alaska) are listed here by play number and name: Number Name 201 Central Alaska Cenozoic Gas 202 Central Alaska Mesozoic Gas 203 Central Alaska Paleozoic Oil 204 Kandik Pre-Mid-Cretaceous Strata 205 Kandik Upper Cretaceous and Tertiary Non-Marine Stata proprietary
USGS_DOQ USGS Digital Orthophoto Quadrangles USGS_LTA STAC Catalog 1970-01-01 -126, 24, -66, 49 https://cmr.earthdata.nasa.gov/search/concepts/C1220566203-USGS_LTA.umm_json A Digital Orthophoto Quadrangle (DOQ) is a computer-generated image of an aerial photograph in which the image displacement caused by terrain relief and camera tilt has been removed. The DOQ combines the image characteristics of the original photograph with the georeferenced qualities of a map. DOQs are black and white (B/W), natural color, or color-infrared (CIR) images with 1-meter ground resolution. The USGS produces three types of DOQs: 1. 3.75-minute (quarter-quad) DOQs cover an area measuring 3.75-minutes longitude by 3.75-minutes latitude. Most of the U.S. is currently available, and the remaining locations should be complete by 2004. Quarter-quad DOQs are available in both Native and GeoTIFF formats. Native format consists of an ASCII keyword header followed by a series of 8-bit binary image lines for B/W and 24-bit band-interleaved-by-pixel (BIP) for color. DOQs in native format are cast to the Universal Transverse Mercator (UTM) projection and referenced to either the North American Datum (NAD) of 1927 (NAD27) or the NAD of 1983 (NAD83). GeoTIFF format consists of a georeferenced Tagged Image File Format (TIFF), with all geographic referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W quarter quad is 40-45 megabytes, and a color file is generally 140-150 megabytes. Quarter-quad DOQs are distributed via File Transfer Protocol (FTP) as uncompressed files. 2. 7.5-minute (full-quad) DOQs cover an area measuring 7.5-minutes longitude by 7.5-minutes latitude. Full-quad DOQs are mostly available for Oregon, Washington, and Alaska. Limited coverage may also be available for other states. Full-quad DOQs are available in both Native and GeoTIFF formats. Native is formatted with an ASCII keyword header followed by a series of 8-bit binary image lines for B/W. DOQs in native format are cast to the UTM projection and referenced to either NAD27 or NAD83. GeoTIFF is a georeferenced Tagged Image File Format with referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W full quad is 140-150 megabytes. Full-quad DOQs are distributed via FTP as uncompressed files. 3. Seamless DOQs are available for free download from the Seamless site. DOQs on this site are the most current version and are available for the conterminous U.S. [Summary provided by the USGS.] proprietary
@@ -15608,8 +15610,8 @@ USGS_DS_2006_203 Archive of Digital Boomer Seismic Reflection Data Collected Dur
USGS_DS_2006_216 Base-Flow Yields of Watersheds in the Berkeley County Area, West Virginia CEOS_EXTRA STAC Catalog 2005-07-25 2006-05-04 -78.1, 39.15, -77.5, 39.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231554130-CEOS_EXTRA.umm_json Base-flow yields at approximately 50 percent of the annual mean ground-water recharge rate were estimated for watersheds in the Berkeley County area, W.Va. These base-flow yields were determined from two sets of discharge measurements made July 25-28, 2005, and May 4, 2006. Two sections of channel along Opequon Creek had net flow losses that are expressed as negative base-flow watershed yields; these and other base-flow watershed yields in the eastern half of the study area ranged from -940 to 2,280 gallons per day per acre ((gal/d)/acre) and averaged 395 (gal/d)/acre. The base-flow yields for watersheds in the western half of the study area ranged from 275 to 482 (gal/d)/acre and averaged 376 (gal/d)/acre. [Summary provided by the USGS.] proprietary
USGS_DS_2006_220 Hurricane Rita Surge Data, Southwestern Louisiana and Southeastern Texas, September to November 2005 CEOS_EXTRA STAC Catalog 1970-01-01 -98, 29, -90, 33 https://cmr.earthdata.nasa.gov/search/concepts/C2231548576-CEOS_EXTRA.umm_json Pressure transducers and high-water marks were used to document the inland water levels related to storm surge generated by Hurricane Rita in southwestern Louisiana and southeastern Texas. On September 22-23, 2005, an experimental monitoring network consisting of 47 pressure transducers (sensors) was deployed at 33 sites over an area of about 4,000 square miles to record the timing, extent, and magnitude of inland hurricane storm surge and coastal flooding. Sensors were programmed to record date and time, temperature, and barometric or water pressure. Water pressure was corrected for changes in barometric pressure and salinity. Elevation surveys using global-positioning systems and differential levels were used to relate all storm-surge water-level data, reference marks, benchmarks, sensor measuring points, and high-water marks to the North American Vertical Datum of 1988 (NAVD 88). The resulting data indicated that storm-surge water levels over 14 feet above NAVD 88 occurred at three locations and rates of water-level rise greater than 5 feet per hour occurred at three locations near the Louisiana coast. Quality-assurance measures were used to assess the variability and accuracy of the water-level data recorded by the sensors. Water-level data from sensors were similar to data from co-located sensors, permanent U.S. Geological Survey streamgages, and water-surface elevations performed by field staff. Water-level data from sensors at selected locations were compared to corresponding high-water mark elevations. In general, the water-level data from sensors were similar to elevations of high quality high-water marks, while reporting consistently higher than elevations of lesser quality high-water marks. [Summary provided by the USGS.] proprietary
USGS_DS_2006_221 Land-Cover and Imperviousness Data for Regional Areas near Denver, Colorado; Dallas-Fort Worth, Texas; and Milwaukee-Green Bay, Wisconsin - 2001 CEOS_EXTRA STAC Catalog 1999-01-01 2002-12-31 -106, 31, -86, 46 https://cmr.earthdata.nasa.gov/search/concepts/C2231548697-CEOS_EXTRA.umm_json This report describes the processing and results of land-cover and impervious surface derivation for parts of three metropolitan areas being studied as part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment (NAWQA) Program Effects of Urbanization on Stream Ecosystems (EUSE). The data were derived primarily from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) satellite imagery from the period 1999-2002, and are provided as 30-meter resolution raster datasets. Data were produced to a standard consistent with data being produced as part of the USGS National Land Cover Database 2001 (NLCD01) Program, and were derived in cooperation with, and assistance from, NLCD01 personnel. The data were intended as surrogates for NLCD01 data because of the EUSE Program's time-critical need for updated land-cover for parts of the United States that would not be available in time from the NLCD01 Program. Six datasets are described in this report: separate land-cover (15-class categorical data) and imperviousness (0-100 percent continuous data) raster datasets for parts of the general Denver, Colorado area (South Platte River Basin), Dallas-Fort Worth, Texas area (Trinity River Basin), and Milwaukee-Green Bay, Wisconsin area (Western Lake Michigan Drainages). [Summary provided by the USGS.] proprietary
-USGS_DS_2006_224 Aeromagnetic Survey of Taylor Mountains Area in Southwest Alaska, A Website for the Distribution of Data ALL STAC Catalog 2004-04-17 2004-05-31 -160, 60, -156, 61 https://cmr.earthdata.nasa.gov/search/concepts/C2231550160-CEOS_EXTRA.umm_json An airborne high-resolution magnetic and coincidental horizontal magnetic graviometer survey was completed over the Taylor Mountains area in southwest Alaska. The flying was undertaken by McPhar Geosurveys Ltd. on behalf of the United States Geological Survey (USGS). First tests and calibration flights were completed by April 7, 2004, and data acquisition was initiated on April 17, 2004. The final data acquisition and final test/calibrations flight was completed on May 31, 2004. Data acquired during the survey totaled 8,971.15 line-miles. [Summary provided by the USGS.] proprietary
USGS_DS_2006_224 Aeromagnetic Survey of Taylor Mountains Area in Southwest Alaska, A Website for the Distribution of Data CEOS_EXTRA STAC Catalog 2004-04-17 2004-05-31 -160, 60, -156, 61 https://cmr.earthdata.nasa.gov/search/concepts/C2231550160-CEOS_EXTRA.umm_json An airborne high-resolution magnetic and coincidental horizontal magnetic graviometer survey was completed over the Taylor Mountains area in southwest Alaska. The flying was undertaken by McPhar Geosurveys Ltd. on behalf of the United States Geological Survey (USGS). First tests and calibration flights were completed by April 7, 2004, and data acquisition was initiated on April 17, 2004. The final data acquisition and final test/calibrations flight was completed on May 31, 2004. Data acquired during the survey totaled 8,971.15 line-miles. [Summary provided by the USGS.] proprietary
+USGS_DS_2006_224 Aeromagnetic Survey of Taylor Mountains Area in Southwest Alaska, A Website for the Distribution of Data ALL STAC Catalog 2004-04-17 2004-05-31 -160, 60, -156, 61 https://cmr.earthdata.nasa.gov/search/concepts/C2231550160-CEOS_EXTRA.umm_json An airborne high-resolution magnetic and coincidental horizontal magnetic graviometer survey was completed over the Taylor Mountains area in southwest Alaska. The flying was undertaken by McPhar Geosurveys Ltd. on behalf of the United States Geological Survey (USGS). First tests and calibration flights were completed by April 7, 2004, and data acquisition was initiated on April 17, 2004. The final data acquisition and final test/calibrations flight was completed on May 31, 2004. Data acquired during the survey totaled 8,971.15 line-miles. [Summary provided by the USGS.] proprietary
USGS_DS_2006_234_1.0 Nevada Magnetic and Gravity Maps and Data: A Website for the Distribution of Data CEOS_EXTRA STAC Catalog 1970-01-01 -120, 35, -114, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2231548572-CEOS_EXTRA.umm_json Magnetic anomalies are due to variations in the Earth's magnetic field caused by the uneven distribution of magnetic minerals (primarily magnetite) in the rocks that make up the upper part of the Earth's crust. The features and patterns of the magnetic anomalies can be used to delineate details of subsurface geology, including the locations of buried faults and magnetite-bearing rocks and the depth to the base of sedimentary basins. This information is valuable for mineral exploration, geologic mapping, and environmental studies. The Nevada magnetic map is constructed from grids that combine information (see data processing details) collected in 82 separate magnetic surveys conducted between 1947 and 2004. The data from these surveys are of varying quality. The design and specifications (terrain clearance, sampling rates, line spacing, and reduction procedures) varied from survey to survey depending on the purpose of the project and the technology of that time. [Summary provided by the USGS.] proprietary
USGS_DS_2007_119 Archive of Digital Boomer Seismic Reflection Data Collected During USGS Field Activity 04SGI01 in the Withlacoochee River of West-Central Florida, March 2004 CEOS_EXTRA STAC Catalog 2004-03-01 2004-03-05 -82.4575, 28.519396, -82.168434, 29.043365 https://cmr.earthdata.nasa.gov/search/concepts/C2231550488-CEOS_EXTRA.umm_json In March of 2004, the U.S. Geological Survey conducted a geophysical survey in the Withlacoochee River of west-central Florida. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, GIS information, Field Activity Collection System (FACS) logs, observer's logbook, and FGDC metadata. Filtered and gained digital images of the seismic profiles are also provided. The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided. [Summary provided by the USGS.] proprietary
USGS_DS_2007_242 Archive of Digital Chirp Seismic Reflection Data Collected During USGS Cruise 05SCC01 Offshore of Port Fourchon and Timbalier Bay, Louisiana, August 2005 CEOS_EXTRA STAC Catalog 2005-08-08 2005-08-11 -90.417816, 29.022211, -89.955574, 29.114426 https://cmr.earthdata.nasa.gov/search/concepts/C2231551890-CEOS_EXTRA.umm_json In August of 2005, the U.S. Geological Survey conducted geophysical surveys offshore of Port Fourchon and Timbalier Bay, Louisiana, and in nearby waterbodies. This report serves as an archive of unprocessed digital chirp seismic reflection data, trackline maps, navigation files, GIS information, Field Activity Collection System (FACS) logs, observer's logbook, and formal FGDC metadata. Filtered and gained digital images of the seismic profiles are also provided. The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided. [Summary provided by the USGS.] proprietary
@@ -15714,10 +15716,10 @@ USGS_NEIC_NEARRT Current and Near Real Time Earthquake Data from the USGS/Nation
USGS_NHD_CATCH National Hydrography Dataset Catchment Delineations CEOS_EXTRA STAC Catalog 1970-01-01 -170, 17, -46, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2231554271-CEOS_EXTRA.umm_json Topographically-based catchments will be delineated for all stream-reach segments of the National Hydrography Dataset (NHD) within the entire conterminous United States. The NHD is a digital hydrographic dataset produced by the USGS, in cooperation with the U.S. Environmental Protection Agency (USEPA), that shows streams, lakes, ponds, and wetlands for the Nation at an initial scale of 1:100,000. This effort is being supported by the USEPA and USGS and is intended to benefit a wide variety of water-quality and stream-flow studies across the nation. The catchment-delineation technique is the same as that developed for use in the New England SPARROW model. The New England SPARROW model was the first to utilize the detail of the National Hydrography Dataset (NHD) as the underlying stream-reach network. Final products for this project will be the completion of NHD catchment delineations for the conterminous United States, which will be part of the NHDPlus project to be completed and made available in 2006. proprietary
USGS_NPS_AcadiaAccuracy_Final Acadia National Park Vegetation Mapping Project - Accuracy Assessment Points CEOS_EXTRA STAC Catalog 2003-10-01 2003-10-01 -75.262726, 43.99941, -68.044304, 44.48051 https://cmr.earthdata.nasa.gov/search/concepts/C2231554200-CEOS_EXTRA.umm_json ABSTRACT: The U.S. Geological Survey Upper Midwest Environmental Sciences Center (UMESC) has produced a vegetation spatial database coverage (vegetation map) for the Acadia National Park Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). Thematic accuracy requirements of the VMP specify 80% accuracy for each map class (theme) that represents National Vegetation Classification System (NVCS) associations (vegetation communities). The UMESC selected 728 field sites, all within Acadia National Park fee and easement lands, for a thematic accuracy assessment (AA) to the vegetation map. The sites were randomly generated, stratified to map class themes that represent NVCS natural/semi-natural vegetation communities using VMP standards. Certain modifications to the process were necessary to accommodate logistical challenges. Local botanists collected field data for 724 of the sites during the 1999 field season. Thematic AA used 688 sites. Sites not used for the analysis were due to the elimination of an entire map class because of irreconcilable classification concepts (19 sites), or to other reasons including unmanageable error with GPS coordinate, duplicate site location, and incomplete field data (17 sites). Regardless of their use in the analysis, all 724 AA sites collected are represented in the Accuracy Assessment Site Spatial Database. proprietary
USGS_NPS_AcadiaAccuracy_Final Acadia National Park Vegetation Mapping Project - Accuracy Assessment Points ALL STAC Catalog 2003-10-01 2003-10-01 -75.262726, 43.99941, -68.044304, 44.48051 https://cmr.earthdata.nasa.gov/search/concepts/C2231554200-CEOS_EXTRA.umm_json ABSTRACT: The U.S. Geological Survey Upper Midwest Environmental Sciences Center (UMESC) has produced a vegetation spatial database coverage (vegetation map) for the Acadia National Park Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). Thematic accuracy requirements of the VMP specify 80% accuracy for each map class (theme) that represents National Vegetation Classification System (NVCS) associations (vegetation communities). The UMESC selected 728 field sites, all within Acadia National Park fee and easement lands, for a thematic accuracy assessment (AA) to the vegetation map. The sites were randomly generated, stratified to map class themes that represent NVCS natural/semi-natural vegetation communities using VMP standards. Certain modifications to the process were necessary to accommodate logistical challenges. Local botanists collected field data for 724 of the sites during the 1999 field season. Thematic AA used 688 sites. Sites not used for the analysis were due to the elimination of an entire map class because of irreconcilable classification concepts (19 sites), or to other reasons including unmanageable error with GPS coordinate, duplicate site location, and incomplete field data (17 sites). Regardless of their use in the analysis, all 724 AA sites collected are represented in the Accuracy Assessment Site Spatial Database. proprietary
-USGS_NPS_AcadiaFieldPlots_Final Acadia National Park Vegetation Mapping Project - Field Plot Points ALL STAC Catalog 2003-10-01 2003-10-01 -68.65603, 44.017136, -68.045715, 44.404953 https://cmr.earthdata.nasa.gov/search/concepts/C2231549568-CEOS_EXTRA.umm_json ABSTRACT: The U.S. Geological Survey Upper Midwest Environmental Sciences Center (UMESC) has produced a vegetation spatial database coverage (vegetation map) for the Acadia National Park Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). In support of mapping and classifying the vegetation, vegetation sample plots were collected and analyzed, identifying 53 National Vegetation Classification System natural/semi-natural associations (vegetation communities). Local botanists, via contract with The Nature Conservancy, collected 179 vegetation plot samples at Acadia National Park (NP) during the 1997-1999 field seasons. Maine Natural Areas Program performed ordination analysis using the field plot data and other existing vegetation data of the area. Vegetation communities of Acadia NP are defined and described at the local and global scale. All 179 vegetation plot samples are represented in the Vegetation Field Plot Spatial Database with selected data fields from the Project's PLOTS database. proprietary
USGS_NPS_AcadiaFieldPlots_Final Acadia National Park Vegetation Mapping Project - Field Plot Points CEOS_EXTRA STAC Catalog 2003-10-01 2003-10-01 -68.65603, 44.017136, -68.045715, 44.404953 https://cmr.earthdata.nasa.gov/search/concepts/C2231549568-CEOS_EXTRA.umm_json ABSTRACT: The U.S. Geological Survey Upper Midwest Environmental Sciences Center (UMESC) has produced a vegetation spatial database coverage (vegetation map) for the Acadia National Park Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). In support of mapping and classifying the vegetation, vegetation sample plots were collected and analyzed, identifying 53 National Vegetation Classification System natural/semi-natural associations (vegetation communities). Local botanists, via contract with The Nature Conservancy, collected 179 vegetation plot samples at Acadia National Park (NP) during the 1997-1999 field seasons. Maine Natural Areas Program performed ordination analysis using the field plot data and other existing vegetation data of the area. Vegetation communities of Acadia NP are defined and described at the local and global scale. All 179 vegetation plot samples are represented in the Vegetation Field Plot Spatial Database with selected data fields from the Project's PLOTS database. proprietary
-USGS_NPS_AcadiaParkBoundary_Final Acadia National Park Vegetation Mapping Project - Park Boundary CEOS_EXTRA STAC Catalog 2003-10-01 2003-10-01 -68.944374, 43.99941, -68.02303, 44.48051 https://cmr.earthdata.nasa.gov/search/concepts/C2231550835-CEOS_EXTRA.umm_json ABSTRACT: The U.S. Geological Survey Upper Midwest Environmental Sciences Center (UMESC) has produced a vegetation spatial database coverage (vegetation map) for the Acadia National Park Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). In support of the mapping project, various spatial database boundary coverages were either produced or modified from their original source. These boundary coverages are: 1) Project Boundary, 2) Map Data Boundary, 3) Park Boundary, and 4) Quad Boundary. The spatial coverages are projected in Universal Transverse Mercator, Zone 19, with datum in North American Datum of 1983. proprietary
+USGS_NPS_AcadiaFieldPlots_Final Acadia National Park Vegetation Mapping Project - Field Plot Points ALL STAC Catalog 2003-10-01 2003-10-01 -68.65603, 44.017136, -68.045715, 44.404953 https://cmr.earthdata.nasa.gov/search/concepts/C2231549568-CEOS_EXTRA.umm_json ABSTRACT: The U.S. Geological Survey Upper Midwest Environmental Sciences Center (UMESC) has produced a vegetation spatial database coverage (vegetation map) for the Acadia National Park Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). In support of mapping and classifying the vegetation, vegetation sample plots were collected and analyzed, identifying 53 National Vegetation Classification System natural/semi-natural associations (vegetation communities). Local botanists, via contract with The Nature Conservancy, collected 179 vegetation plot samples at Acadia National Park (NP) during the 1997-1999 field seasons. Maine Natural Areas Program performed ordination analysis using the field plot data and other existing vegetation data of the area. Vegetation communities of Acadia NP are defined and described at the local and global scale. All 179 vegetation plot samples are represented in the Vegetation Field Plot Spatial Database with selected data fields from the Project's PLOTS database. proprietary
USGS_NPS_AcadiaParkBoundary_Final Acadia National Park Vegetation Mapping Project - Park Boundary ALL STAC Catalog 2003-10-01 2003-10-01 -68.944374, 43.99941, -68.02303, 44.48051 https://cmr.earthdata.nasa.gov/search/concepts/C2231550835-CEOS_EXTRA.umm_json ABSTRACT: The U.S. Geological Survey Upper Midwest Environmental Sciences Center (UMESC) has produced a vegetation spatial database coverage (vegetation map) for the Acadia National Park Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). In support of the mapping project, various spatial database boundary coverages were either produced or modified from their original source. These boundary coverages are: 1) Project Boundary, 2) Map Data Boundary, 3) Park Boundary, and 4) Quad Boundary. The spatial coverages are projected in Universal Transverse Mercator, Zone 19, with datum in North American Datum of 1983. proprietary
+USGS_NPS_AcadiaParkBoundary_Final Acadia National Park Vegetation Mapping Project - Park Boundary CEOS_EXTRA STAC Catalog 2003-10-01 2003-10-01 -68.944374, 43.99941, -68.02303, 44.48051 https://cmr.earthdata.nasa.gov/search/concepts/C2231550835-CEOS_EXTRA.umm_json ABSTRACT: The U.S. Geological Survey Upper Midwest Environmental Sciences Center (UMESC) has produced a vegetation spatial database coverage (vegetation map) for the Acadia National Park Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). In support of the mapping project, various spatial database boundary coverages were either produced or modified from their original source. These boundary coverages are: 1) Project Boundary, 2) Map Data Boundary, 3) Park Boundary, and 4) Quad Boundary. The spatial coverages are projected in Universal Transverse Mercator, Zone 19, with datum in North American Datum of 1983. proprietary
USGS_NPS_AcadiaSpatialVeg_Final Acadia National Park Vegetation Mapping Project - Spatial Vegetation Data ALL STAC Catalog 1997-05-27 1997-05-28 -69, 43.99574, -67.99682, 44.50385 https://cmr.earthdata.nasa.gov/search/concepts/C2231552959-CEOS_EXTRA.umm_json ABSTRACT: The U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) has produced the Vegetation Spatial Database Coverage (vegetation map) for the Acadia National Park Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). The vegetation map is of Acadia National Park (NP) and extended environs, providing 99,693 hectares (246,347 acres) of map data. Of this coverage, 52,872 hectares (130,650 acres) is non-vegetated ocean, bay, and estuary (53% of coverage). Acadia NP comprises 19,276 hectares (47,633 acres) of the total data coverage area (19%, 40% not counting ocean and estuary data). Over 7,120 polygons make up the coverage, each with map class description and, for vegetation classes, physiognomic feature information. The spatial database provides crosswalk information to all National Vegetation Classification System (NVCS) floristic and physiognomic levels, and to other established classification systems (NatureServe's U.S. Terrestrial Ecological System Classification, Maine Natural Community Classification, and the USGS Land Use and Land Cover Classification). This mapping project has identified 53 NVCS associations (vegetation communities) at Acadia National Park through analyses of vegetation sample data. These associations are represented in the map coverage with 33 map classes. With all vegetation types, land use classes, and park specific categories combined, 57 map classes define the ground features within the project area (58 classes including the class for no map data). Each polygon within the spatial database map is identified with one of these map classes. In addition, physiognomic modifiers are added to map classes representing vegetation to describe the vegetation structure within a polygon (density, pattern, and height). The spatial database was produced from the interpretation of spring 1997 1:15,840-scale color infrared aerial photographs. The standard minimum mapping unit (MMU) applied is 0.5 hectares (1.25 acres). The interpreted data were transferred and automated using base maps produced from USGS digital orthophoto quadrangles. The finished spatial database is a single seamless coverage, projected in Universal Transverse Mercator, Zone 19, with datum in North American Datum of 1983. The estimated overall thematic accuracy for vegetation map classes is 80%. proprietary
USGS_NPS_AcadiaSpatialVeg_Final Acadia National Park Vegetation Mapping Project - Spatial Vegetation Data CEOS_EXTRA STAC Catalog 1997-05-27 1997-05-28 -69, 43.99574, -67.99682, 44.50385 https://cmr.earthdata.nasa.gov/search/concepts/C2231552959-CEOS_EXTRA.umm_json ABSTRACT: The U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) has produced the Vegetation Spatial Database Coverage (vegetation map) for the Acadia National Park Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). The vegetation map is of Acadia National Park (NP) and extended environs, providing 99,693 hectares (246,347 acres) of map data. Of this coverage, 52,872 hectares (130,650 acres) is non-vegetated ocean, bay, and estuary (53% of coverage). Acadia NP comprises 19,276 hectares (47,633 acres) of the total data coverage area (19%, 40% not counting ocean and estuary data). Over 7,120 polygons make up the coverage, each with map class description and, for vegetation classes, physiognomic feature information. The spatial database provides crosswalk information to all National Vegetation Classification System (NVCS) floristic and physiognomic levels, and to other established classification systems (NatureServe's U.S. Terrestrial Ecological System Classification, Maine Natural Community Classification, and the USGS Land Use and Land Cover Classification). This mapping project has identified 53 NVCS associations (vegetation communities) at Acadia National Park through analyses of vegetation sample data. These associations are represented in the map coverage with 33 map classes. With all vegetation types, land use classes, and park specific categories combined, 57 map classes define the ground features within the project area (58 classes including the class for no map data). Each polygon within the spatial database map is identified with one of these map classes. In addition, physiognomic modifiers are added to map classes representing vegetation to describe the vegetation structure within a polygon (density, pattern, and height). The spatial database was produced from the interpretation of spring 1997 1:15,840-scale color infrared aerial photographs. The standard minimum mapping unit (MMU) applied is 0.5 hectares (1.25 acres). The interpreted data were transferred and automated using base maps produced from USGS digital orthophoto quadrangles. The finished spatial database is a single seamless coverage, projected in Universal Transverse Mercator, Zone 19, with datum in North American Datum of 1983. The estimated overall thematic accuracy for vegetation map classes is 80%. proprietary
USGS_NSHMP National Seismic Hazard Maps from the USGS National Seismic Hazard Mapping Project CEOS_EXTRA STAC Catalog 1970-01-01 170, 18, -65, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2231550531-CEOS_EXTRA.umm_json The National Seismic Hazard Mapping Project (NSHMP) provides online maps. The hazard maps depict probabilistic ground motions and spectral response with 10%, 5%, and 2% probabilities of exceedance (PE) in 50 years. These maps correspond to return times of approximately 500, 1000, and 2500 years, respectively. The maps are based on the assumption that earthquake occurrence is Poissonian, so that the probability of occurrence is time-independent. The maps cover all of the U.S. including Hawaii and Alaska along with other pertinent information related to earthquake hazards. proprietary
@@ -15853,12 +15855,12 @@ USGS_OFR_2004_1038 Inventory of Significant Mineral Deposit Occurrences in the H
USGS_OFR_2004_1039 Location, Age, and Tectonic Significance of the Western Idaho Suture Zone CEOS_EXTRA STAC Catalog 1970-01-01 -118, 43, -112, 47 https://cmr.earthdata.nasa.gov/search/concepts/C2231552012-CEOS_EXTRA.umm_json The Western Idaho Suture Zone (WISZ) represents the boundary between crust overlying Proterozoic North American lithosphere and Late Paleozoic and Mesozoic intraoceanic crust accreted during Cretaceous time. Highly deformed plutons constituted of both arc and sialic components intrude the WISZ and in places are thrust over the accreted terranes. Pronounced variations in Sr, Nd, and O isotope ratios and in major and trace element composition occur across the suture zone in Mesozoic plutons. The WISZ is located by an abrupt west to east increase in initial 87Sr/86Sr ratios, traceable for over 300 km from eastern Washington near Clarkston, east along the Clearwater River thorough a bend to the south of about 110° from Orofino Creek to Harpster, and extending south-southwest to near Ola, Idaho, where Columbia River basalts conceal its extension to the south. K-Ar and 40Ar/39Ar apparent ages of hornblende and biotite from Jurassic and Early Cretaceous plutons in the accreted terranes are highly discordant within about 10 km of the WISZ, exhibiting patterns of thermal loss caused by deformation, subsequent batholith intrusion, and rapid rise of the continental margin. Major crustal movements within the WISZ commenced after about 135 Ma, but much of the displacement may have been largely vertical, during and following emplacement of batholith-scale silicic magmas. Deformation continued until at least 85 Ma and probably until 74 Ma, progressing from south to north. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1049_1.0 Geologic and Bathymetric Reconnaissance Overview of the San Pedro Shelf Region, Southern California CEOS_EXTRA STAC Catalog 2002-01-01 2002-12-31 -118.33333, 33.46667, -117.83333, 33.78333 https://cmr.earthdata.nasa.gov/search/concepts/C2231548808-CEOS_EXTRA.umm_json This report presents a series of maps that describe the bathymetry and late Quaternary geology of the San Pedro shelf area as interpreted from seismic-reflection profiles and 3.5-kHz and multibeam bathymetric data. Some of the seismic-reflection profiles were collected with Uniboom and 120-kJ sparker during surveys conducted by the U.S. Geological Survey (USGS) in 1973 (K-2-73-SC), 1978 (S-2-78-SC), and 1979 (S-2a-79-SC). The remaining seismic-reflection profiles were collected in 2000 using Geopulse boomer and minisparker during USGS cruise A-1-00-SC. The report consists of seven oversized sheets: 1. Map of 1978 and 1979 uniboom seismic-reflection and 3.5-kHz tracklines used to map faults and folds on San Pedro Shelf. 2. Maps of multibeam shaded bathymetric relief with faults and folds, and bathymetric contours. 3. Isopach map of unconsolidated sediment, seismic-reflection profile across the San Pedro shelf, seismic-reflection profile across San Gabriel paleo-valley. 4. Seismic-reflection profiles across the Palos Verdes Fault Zone. 5. Geologic map and samples of Uniboom and 120-kJ sparker seismic-reflection profiles used to make the map. 6. Map showing thickness of uppermost (Holocene?) sediment layer. 7. Map of San Gabriel Canyon paleo-valley and associated drainage basins. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1054 Assessment of Hazards Associated with the Bluegill Landslide, South-Central Idaho CEOS_EXTRA STAC Catalog 1970-01-01 -117.59, 41.64, -110.7, 49.35 https://cmr.earthdata.nasa.gov/search/concepts/C2231554051-CEOS_EXTRA.umm_json The Bluegill landslide, located in south-central Idaho, is part of a larger landslide complex that forms an area in the Salmon Falls Creek drainage named Sinking Canyon. The landslide is on public property administered by the U.S. Bureau of Land Management (BLM). As part of ongoing efforts to address possible public safety concerns, the BLM requested that the U.S. Geological Survey (USGS) conduct a preliminary hazard assessment of the landslide, examine possible mitigation options, and identify alternatives for further study and monitoring of the landslide. This report presents the findings of that assessment based on a field reconnaissance of the landslide on September 24, 2003, a review of data and information provided by BLM and researchers from Idaho State University, and information collected from other sources. [Summary provided by the USGS.] proprietary
-USGS_OFR_2004_1058 2002 Volcanic Activity in Alaska and Kamchatka: Summary of Events and Response of the Alaska Volcano Observatory CEOS_EXTRA STAC Catalog 2002-01-01 -168, 46, -126, 76 https://cmr.earthdata.nasa.gov/search/concepts/C2231549438-CEOS_EXTRA.umm_json The Alaska Volcano Observatory (AVO) tracks activity at the more than 40 historically active volcanoes of the Aleutian Arc. As of December 31, 2002, 24 of these volcanoes are monitored with short-period seismometer networks. AVO's monitoring program also includes daily analysis of satellite imagery supported by occasional over flights and compilation of pilot reports, observations of local residents, and observations of mariners. In 2002, AVO responded to eruptive activity or suspect volcanic activity at 6 volcanic centers in Alaska - Wrangell, the Katmai Group, Veniaminof, Shishaldin, Emmons Lake (Hague), and Great Sitkin volcanoes. In addition to responding to eruptive activity at Alaskan volcanoes, AVO also disseminated information on behalf of the Kamchatkan Volcanic Eruption Response Team (KVERT) about activity at 5 Russian volcanoes - Sheveluch, Klyuchevskoy, Bezymianny, Karymsky, and Chikurachki. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1058 2002 Volcanic Activity in Alaska and Kamchatka: Summary of Events and Response of the Alaska Volcano Observatory ALL STAC Catalog 2002-01-01 -168, 46, -126, 76 https://cmr.earthdata.nasa.gov/search/concepts/C2231549438-CEOS_EXTRA.umm_json The Alaska Volcano Observatory (AVO) tracks activity at the more than 40 historically active volcanoes of the Aleutian Arc. As of December 31, 2002, 24 of these volcanoes are monitored with short-period seismometer networks. AVO's monitoring program also includes daily analysis of satellite imagery supported by occasional over flights and compilation of pilot reports, observations of local residents, and observations of mariners. In 2002, AVO responded to eruptive activity or suspect volcanic activity at 6 volcanic centers in Alaska - Wrangell, the Katmai Group, Veniaminof, Shishaldin, Emmons Lake (Hague), and Great Sitkin volcanoes. In addition to responding to eruptive activity at Alaskan volcanoes, AVO also disseminated information on behalf of the Kamchatkan Volcanic Eruption Response Team (KVERT) about activity at 5 Russian volcanoes - Sheveluch, Klyuchevskoy, Bezymianny, Karymsky, and Chikurachki. [Summary provided by the USGS.] proprietary
+USGS_OFR_2004_1058 2002 Volcanic Activity in Alaska and Kamchatka: Summary of Events and Response of the Alaska Volcano Observatory CEOS_EXTRA STAC Catalog 2002-01-01 -168, 46, -126, 76 https://cmr.earthdata.nasa.gov/search/concepts/C2231549438-CEOS_EXTRA.umm_json The Alaska Volcano Observatory (AVO) tracks activity at the more than 40 historically active volcanoes of the Aleutian Arc. As of December 31, 2002, 24 of these volcanoes are monitored with short-period seismometer networks. AVO's monitoring program also includes daily analysis of satellite imagery supported by occasional over flights and compilation of pilot reports, observations of local residents, and observations of mariners. In 2002, AVO responded to eruptive activity or suspect volcanic activity at 6 volcanic centers in Alaska - Wrangell, the Katmai Group, Veniaminof, Shishaldin, Emmons Lake (Hague), and Great Sitkin volcanoes. In addition to responding to eruptive activity at Alaskan volcanoes, AVO also disseminated information on behalf of the Kamchatkan Volcanic Eruption Response Team (KVERT) about activity at 5 Russian volcanoes - Sheveluch, Klyuchevskoy, Bezymianny, Karymsky, and Chikurachki. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1064 Coastal Vulnerability Assessment of Cape Hatteras National Seashore (CAHA) to Sea-Level Rise CEOS_EXTRA STAC Catalog 1970-01-01 -80, 33, -76, 38 https://cmr.earthdata.nasa.gov/search/concepts/C2231549408-CEOS_EXTRA.umm_json A coastal vulnerability index (CVI) was used to map the relative vulnerability of the coast to future sea-level rise within Cape Hatteras National Seashore (CAHA) in North Carolina. The CVI ranks the following in terms of their physical contribution to sea-level rise-related coastal change: geomorphology, regional coastal slope, rate of relative sea-level rise, historical shoreline change rates, mean tidal range, and mean significant wave height. The rankings for each variable were combined and an index value was calculated for 1-minute grid cells covering the park. The CVI highlights those regions where the physical effects of sea-level rise might be the greatest. This approach combines the coastal system's susceptibility to change with its natural ability to adapt to changing environmental conditions, yielding a quantitative, although relative, measure of the park's natural vulnerability to the effects of sea-level rise. The CVI provides an objective technique for evaluation and long-term planning by scientists and park managers. Cape Hatteras National Seashore consists of stable and washover dominated segments of barrier beach backed by wetland and marsh. The areas within Cape Hatteras that are likely to be most vulnerable to sea-level rise are those with the highest occurrence of overwash and the highest rates of shoreline change. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1067 Digital Database of Selected Aggregate and Related Resources in Ada, Boise, Canyon, Elmore, Gem, and Owyhee Counties, Southwestern Idaho CEOS_EXTRA STAC Catalog 1934-01-01 2003-12-31 -117.01154, 42.29952, -115.10053, 44.17547 https://cmr.earthdata.nasa.gov/search/concepts/C2231549777-CEOS_EXTRA.umm_json "The U.S. Geological Survey (USGS) compiled a database of aggregate sites and geotechnical sample data for six counties - Ada, Boise, Canyon, Elmore, Gem, and Owyhee - in southwest Idaho as part of a series of studies in support of the Bureau of Land Management (BLM) planning process. Emphasis is placed on sand and gravel sites in deposits of the Boise River, Snake River, and other fluvial systems and in Neogene lacustrine deposits. Data were collected primarily from unpublished Idaho Transportation Department (ITD) records and BLM site descriptions, published Army Corps of Engineers (ACE) records, and USGS sampling data. The results of this study provides important information needed by land-use planners and resource managers, particularly in the BLM, to anticipate and plan for demand and development of sand and gravel and other mineral material resources on public lands in response to the urban growth in southwestern Idaho. The aggregate database combines two data sets - site information and geotechnical sample data - into an integrated spatial database with 82 unique fields. The material source site data set includes information on 680 sites, and the geotechnical data set consists of selected information from 2,723 laboratory analyses of samples collected from many, but not all, of the sites. The 680 aggregate sites are divided into six classes: sand & gravel (614); rock quarry (43); cinder quarry (9); placer tailings (8); talus (4); and mine waste rock (2). Most importantly, the aggregate database includes detailed location information allowing individual sites to be located at least within a section and most often within a small parcel of a section. Additional information includes, but is not limited to: lithology-mineralogy or geologic formation (if known); surface ownership; size; production; permitting; agency; and number of samples. Geotechnical data include: lab number and test date; field parameters including sample location, type of material, and size; and the results of geotechnical analyses - gradation (grain size distribution), Los Angeles (LA) Degradation, sand equivalent, absorption, density, and several other tests. Ninety-five percent of the 2,723 geotechnical sample records include gradation data, and 72 percent of the samples have sand equivalent data. However, LA Degradation, absorption, and bulk density data are reported only in about 30 percent of the sample records. Large volumes of geotechnical data reside in a variety of accessible but little-used archives maintained by local and county highway districts, state transportation bureaus, and federal engineering, construction and transportation agencies. Integration of good quality geotechnical lithogeochemical information, particularly in digital form suitable for geospatial analysis, can produce profoundly superior databases that may allow more accurate and reliable ""expert"" decision making and improved land use planning. The database that accompanies this report, structured for direct import into geographic information system (GIS) software, is the first step toward producing such an integrated geologic-geotechnical spatial database. [Summary provided by the USGS.]" proprietary
-USGS_OFR_2004_1069 A 30-Year Record of Surface Mass Balance (1966-95) and Motion and Surface Altitude (1975-95) at Wolverine Glacier, Alaska ALL STAC Catalog 1966-04-01 1995-12-31 -156, 57, -144, 66 https://cmr.earthdata.nasa.gov/search/concepts/C2231554448-CEOS_EXTRA.umm_json Scientific measurements at Wolverine Glacier, on the Kenai Peninsula in south-central Alaska, began in April 1966. At three long-term sites in the research basin, the measurements included snow depth, snow density, heights of the glacier surface and stratigraphic summer surfaces on stakes, and identification of the surface materials. Calculations of the mass balance of the surface strata-snow, new firn, superimposed ice, and old firn and ice mass at each site were based on these measurements. Calculations of fixed-date annual mass balances for each hydrologic year (October 1 to September 30), as well as net balances and the dates of minimum net balance measured between time-transgressive summer surfaces on the glacier, were made on the basis of the strata balances augmented by air temperature and precipitation recorded in the basin. From 1966 through 1995, the average annual balance at site A (590 meters altitude) was -4.06 meters water equivalent; at site B (1,070 meters altitude), was -0.90 meters water equivalent; and at site C (1,290 meters altitude), was +1.45 meters water equivalent. Geodetic determination of displacements of the mass balance stake, and glacier surface altitudes was added to the data set in 1975 to detect the glacier motion responses to variable climate and mass balance conditions. The average surface speed from 1975 to 1996 was 50.0 meters per year at site A, 83.7 meters per year at site B, and 37.2 meters per year at site C. The average surface altitudes were 594 meters at site A, 1,069 meters at site B, and 1,293 meters at site C; the glacier surface altitudes rose and fell over a range of 19.4 meters at site A, 14.1 meters at site B, and 13.2 meters at site C. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1069 A 30-Year Record of Surface Mass Balance (1966-95) and Motion and Surface Altitude (1975-95) at Wolverine Glacier, Alaska CEOS_EXTRA STAC Catalog 1966-04-01 1995-12-31 -156, 57, -144, 66 https://cmr.earthdata.nasa.gov/search/concepts/C2231554448-CEOS_EXTRA.umm_json Scientific measurements at Wolverine Glacier, on the Kenai Peninsula in south-central Alaska, began in April 1966. At three long-term sites in the research basin, the measurements included snow depth, snow density, heights of the glacier surface and stratigraphic summer surfaces on stakes, and identification of the surface materials. Calculations of the mass balance of the surface strata-snow, new firn, superimposed ice, and old firn and ice mass at each site were based on these measurements. Calculations of fixed-date annual mass balances for each hydrologic year (October 1 to September 30), as well as net balances and the dates of minimum net balance measured between time-transgressive summer surfaces on the glacier, were made on the basis of the strata balances augmented by air temperature and precipitation recorded in the basin. From 1966 through 1995, the average annual balance at site A (590 meters altitude) was -4.06 meters water equivalent; at site B (1,070 meters altitude), was -0.90 meters water equivalent; and at site C (1,290 meters altitude), was +1.45 meters water equivalent. Geodetic determination of displacements of the mass balance stake, and glacier surface altitudes was added to the data set in 1975 to detect the glacier motion responses to variable climate and mass balance conditions. The average surface speed from 1975 to 1996 was 50.0 meters per year at site A, 83.7 meters per year at site B, and 37.2 meters per year at site C. The average surface altitudes were 594 meters at site A, 1,069 meters at site B, and 1,293 meters at site C; the glacier surface altitudes rose and fell over a range of 19.4 meters at site A, 14.1 meters at site B, and 13.2 meters at site C. [Summary provided by the USGS.] proprietary
+USGS_OFR_2004_1069 A 30-Year Record of Surface Mass Balance (1966-95) and Motion and Surface Altitude (1975-95) at Wolverine Glacier, Alaska ALL STAC Catalog 1966-04-01 1995-12-31 -156, 57, -144, 66 https://cmr.earthdata.nasa.gov/search/concepts/C2231554448-CEOS_EXTRA.umm_json Scientific measurements at Wolverine Glacier, on the Kenai Peninsula in south-central Alaska, began in April 1966. At three long-term sites in the research basin, the measurements included snow depth, snow density, heights of the glacier surface and stratigraphic summer surfaces on stakes, and identification of the surface materials. Calculations of the mass balance of the surface strata-snow, new firn, superimposed ice, and old firn and ice mass at each site were based on these measurements. Calculations of fixed-date annual mass balances for each hydrologic year (October 1 to September 30), as well as net balances and the dates of minimum net balance measured between time-transgressive summer surfaces on the glacier, were made on the basis of the strata balances augmented by air temperature and precipitation recorded in the basin. From 1966 through 1995, the average annual balance at site A (590 meters altitude) was -4.06 meters water equivalent; at site B (1,070 meters altitude), was -0.90 meters water equivalent; and at site C (1,290 meters altitude), was +1.45 meters water equivalent. Geodetic determination of displacements of the mass balance stake, and glacier surface altitudes was added to the data set in 1975 to detect the glacier motion responses to variable climate and mass balance conditions. The average surface speed from 1975 to 1996 was 50.0 meters per year at site A, 83.7 meters per year at site B, and 37.2 meters per year at site C. The average surface altitudes were 594 meters at site A, 1,069 meters at site B, and 1,293 meters at site C; the glacier surface altitudes rose and fell over a range of 19.4 meters at site A, 14.1 meters at site B, and 13.2 meters at site C. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1074 Flood of June 4, 2002, in the Indian Creek Basin, Linn County, Iowa CEOS_EXTRA STAC Catalog 2002-06-04 2002-06-04 -96.97, 40.05, -89.82, 43.83 https://cmr.earthdata.nasa.gov/search/concepts/C2231549367-CEOS_EXTRA.umm_json Severe flooding occurred on June 4, 2002, in the Indian Creek Basin in Linn County, Iowa, following thunderstorm activity over east-central Iowa. The rain gage at Cedar Rapids, Iowa, recorded a 24-hour rainfall of 4.76 inches at 6:00 p.m. on June 4th. Radar indications estimated as much as 6 inches of rain fell in the headwaters of the Indian Creek Basin. Peak discharges on Indian Creek of 12,500 cubic feet per second at County Home Road north of Marion, Iowa, and 24,300 cubic feet per second at East Post Road in southeast Cedar Rapids, were determined for the flood. The recurrence interval for these peak discharges both exceed the theoretical 500-year flood as computed using flood-estimation equations developed by the U.S. Geological Survey. Information about the basin and flood history, the 2002 thunderstorms and associated flooding, and a profile of high-water marks are presented for selected reaches along Indian and Dry Creeks. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1075 Bedrock Geology and Mineral Resources of the Knoxville 1 degree x 2 degree Quadrangle, Tennessee, North Carolina, and South Carolina (Digital Version) CEOS_EXTRA STAC Catalog 1970-01-01 -90, 33, -78, 39 https://cmr.earthdata.nasa.gov/search/concepts/C2231548820-CEOS_EXTRA.umm_json The following geographic information system (GIS) data layers provide a digital format for the map plate in Bulletin 1979 (Robinson et al., 1991), Bedrock Geology and Mineral Resources of the Knoxville 1 degree x 2 degree Quadrangle, Tennessee, North Carolina, and South Carolina. This open-file report is meant to supplement Bulletin 1979. The Knoxville 1 degree x 2 degree quadrangle spans the Southern Blue Ridge physiographic province at its widest point from eastern Tennessee across western North Carolina to the northwest corner of South Carolina. The quadrangle also contains small parts of the Valley and Ridge province in Tennessee and the Piedmont province in North and South Carolina. The bedrock geology for the coverage area is provided as a polygon coverage with bedrock unit information included. Mineral resources and geologic faults are provided as point and line files, respectively, to overlay the geology coverage. Detailed geologic information is provided in the attribute tables for these files, and .avl legend files are provided. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1083 Cross-Sections and Maps Showing Double-Difference Relocated Earthquakes from 1984-2000 along the Hayward and Calaveras Faults, California CEOS_EXTRA STAC Catalog 1984-01-01 2000-12-31 -124.9, 32.02, -113.61, 42.51 https://cmr.earthdata.nasa.gov/search/concepts/C2231554080-CEOS_EXTRA.umm_json This report present a cross-section and map views of earthquakes that occurred from 1984 to 2000 in the vicinity of the Hayward and Calaveras faults in the San Francisco Bay region, California. These earthquakes came from a catalog of events relocated using the double-difference technique, which provides superior relative locations of nearby events. As a result, structures such as fault surfaces and alignments of events along these surfaces are more sharply defined than in previous catalogs. [Summary provided by the USGS.] proprietary
@@ -15876,8 +15878,8 @@ USGS_OFR_2004_1221 Los Angeles and San Diego Margin High-Resolution Multibeam Ba
USGS_OFR_2004_1228 Bottom Photographs from the Pulley Ridge Deep Coral Reef CEOS_EXTRA STAC Catalog 2003-04-01 2003-04-30 -86, 25, -82, 29 https://cmr.earthdata.nasa.gov/search/concepts/C2231550612-CEOS_EXTRA.umm_json Pulley Ridge is a series of drowned barrier islands that extend over 100 km in 60-100 m water depths. This drowned ridge is located on the Florida Platform in the southeastern Gulf of Mexico about 250 km west of Cape Sable, Florida (Halley and others, 2003). This barrier island chain formed during the initial stage of the Holocene marine transgression approximately 7000 years before present. These islands were then submerged and left abandoned near the outer edge of the Florida Platform. The southern portion of Pulley Ridge, the focus of this study, hosts zooxanthellate scleractinian corals, green, red and brown macro algae, and a mix of deep and typically shallow-water tropical fishes. This largely photosynthetic community is unique in that it thrives with only 5% of the light typically associated with shallow-water reefs with similar fauna. Several factors help to account for the existence of this unique deep-water community. First, the underlying drowned barrier island provides both elevated topography and lithified substrate for the establishment of the hardbottom community. Second, the region is dominated by the west edge of the Loop Current, which brings relatively clear and warm water to this area. Third, the ridge's position on the continental shelf places it within the thermocline which provides nutrients to the reef during upwelling (Halley and others, 2003). This report presents the still photographs acquired during the April 2003 cruise aboard the Florida Institute of Oceanography's research vessel Suncoaster. These data are just one part of a multi-year study which includes the acquisition of sidescan-sonar imagery, high-resolution bathymetry, high-resolution seismic-reflection profiles, bottom video imagery, and bottom samples. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1234 Catalog of Earthquake Hypocenters at Alaskan Volcanoes: January 1 through December 31, 2003 CEOS_EXTRA STAC Catalog 2003-01-01 2003-12-31 -180, 50, -140, 66 https://cmr.earthdata.nasa.gov/search/concepts/C2231552741-CEOS_EXTRA.umm_json The Alaska Volcano Observatory (AVO), a cooperative program of the U.S. Geological Survey, the Geophysical Institute of the University of Alaska Fairbanks, and the Alaska Division of Geological and Geophysical Surveys, has maintained seismic monitoring networks at historically active volcanoes in Alaska since 1988. The primary objectives of this program are the near real time seismic monitoring of active, potentially hazardous, Alaskan volcanoes and the investigation of seismic processes associated with active volcanism. This catalog presents the calculated earthquake hypocenter and phase arrival data, and changes in the seismic monitoring program for the period January 1 through December 31, 2003. The AVO seismograph network was used to monitor the seismic activity at twenty-seven volcanoes within Alaska in 2003. These include Mount Wrangell, Mount Spurr, Redoubt Volcano, Iliamna Volcano, Augustine Volcano, Katmai volcanic cluster (Snowy Mountain, Mount Griggs, Mount Katmai, Novarupta, Trident Volcano, Mount Mageik, Mount Martin), Aniakchak Crater, Mount Veniaminof, Pavlof Volcano, Mount Dutton, Isanotski Peaks, Shishaldin Volcano, Fisher Caldera, Westdahl Peak, Akutan Peak, Makushin Volcano, Okmok Caldera, Great Sitkin Volcano, Kanaga Volcano, Tanaga Volcano, and Mount Gareloi. Monitoring highlights in 2003 include: continuing elevated seismicity at Mount Veniaminof in January-April (volcanic unrest began in August 2002), volcanogenic seismic swarms at Shishaldin Volcano throughout the year, and low-level tremor at Okmok Caldera throughout the year. Instrumentation and data acquisition highlights in 2003 were the installation of subnetworks on Tanaga and Gareloi Islands, the installation of broadband installations on Akutan Volcano and Okmok Caldera, and the establishment of telemetry for the Okmok Caldera subnetwork. AVO located 3911 earthquakes in 2003. This catalog includes: (1) a description of instruments deployed in the field and their locations; (2) a description of earthquake detection, recording, analysis, and data archival systems; (3) a description of velocity models used for earthquake locations; (4) a summary of earthquakes located in 2003; and (5) an accompanying UNIX tar-file with a summary of earthquake origin times, hypocenters, magnitudes, phase arrival times, and location quality statistics; daily station usage statistics; and all HYPOELLIPSE files used to determine the earthquake locations in 2003. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1235 Distribution of Holocene Sediment in Chesapeake Bay CEOS_EXTRA STAC Catalog 1970-01-01 -78, -36, -74, 41 https://cmr.earthdata.nasa.gov/search/concepts/C2231552442-CEOS_EXTRA.umm_json "The distribution of sedimentary environments presents the limited domain of deposits from ""River Input"", the flood tide wedge of ""Atlantic Sediment"", and the extensive region of indigenous, recycled ""Coastal Erosion Sediment"" in the Chesapeake Bay littoral environment. Studies by Miller (1982, 1983, 1987) along selected reaches of the tidewater Potomac River showed that bluff retreat in the littoral environment could be measured and modeled at as much as 0.5 to 1.0 m/yr. During the September 18, 2003 Hurricane Isabel storm surge of nearly 3 m, as much as 8 to 10 m of coastal erosion was measured near some of Miller's sites. Storm-driven coastal erosion is the most extensive source of Holocene sediment in the modern Bay. Although massive amounts were eroded from the terraces and uplands during lowered sea level and cold climates, presently most sediment eroded and transported from terrace and upland source areas has been stored on slopes and alluvial bottoms of the Coastal Plain landscapes that surround the Chesapeake. [Summary provided by the USGS.]" proprietary
-USGS_OFR_2004_1249 A Forest Vegetation Database for Western Oregon CEOS_EXTRA STAC Catalog 1970-01-01 -124.96, 41.58, -116.06, 46.68 https://cmr.earthdata.nasa.gov/search/concepts/C2231548732-CEOS_EXTRA.umm_json Data on forest vegetation in western Oregon were assembled for 2323 ecological survey plots. All data were from fixed-radius plots with the standardized design of the Current Vegetation Survey (CVS) initiated in the early 1990s. For each site, the database includes: 1) live tree density and basal area of common tree species, 2) total live tree density, basal area, estimated biomass, and estimated leaf area; 3) age of the oldest overstory tree examined, 4) geographic coordinates, 5) elevation, 6) interpolated climate variables, and 7) other site variables. The data are ideal for ecoregional analyses of existing vegetation. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1249 A Forest Vegetation Database for Western Oregon ALL STAC Catalog 1970-01-01 -124.96, 41.58, -116.06, 46.68 https://cmr.earthdata.nasa.gov/search/concepts/C2231548732-CEOS_EXTRA.umm_json Data on forest vegetation in western Oregon were assembled for 2323 ecological survey plots. All data were from fixed-radius plots with the standardized design of the Current Vegetation Survey (CVS) initiated in the early 1990s. For each site, the database includes: 1) live tree density and basal area of common tree species, 2) total live tree density, basal area, estimated biomass, and estimated leaf area; 3) age of the oldest overstory tree examined, 4) geographic coordinates, 5) elevation, 6) interpolated climate variables, and 7) other site variables. The data are ideal for ecoregional analyses of existing vegetation. [Summary provided by the USGS.] proprietary
+USGS_OFR_2004_1249 A Forest Vegetation Database for Western Oregon CEOS_EXTRA STAC Catalog 1970-01-01 -124.96, 41.58, -116.06, 46.68 https://cmr.earthdata.nasa.gov/search/concepts/C2231548732-CEOS_EXTRA.umm_json Data on forest vegetation in western Oregon were assembled for 2323 ecological survey plots. All data were from fixed-radius plots with the standardized design of the Current Vegetation Survey (CVS) initiated in the early 1990s. For each site, the database includes: 1) live tree density and basal area of common tree species, 2) total live tree density, basal area, estimated biomass, and estimated leaf area; 3) age of the oldest overstory tree examined, 4) geographic coordinates, 5) elevation, 6) interpolated climate variables, and 7) other site variables. The data are ideal for ecoregional analyses of existing vegetation. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1252 Digital Files for Northeast Asia Geodynamics, Mineral Deposit Location, and Metallogenic Belt Maps, Stratigraphic Columns, Descriptions of Map Units, and Descriptions of Metallogenic Belts CEOS_EXTRA STAC Catalog 1970-01-01 60, 27, 170, 81 https://cmr.earthdata.nasa.gov/search/concepts/C2231554750-CEOS_EXTRA.umm_json This publication contains a a series of files for Northeast Asia geodynamics, mineral deposit location, and metallogenic belt maps descriptions of map units and metallogenic belts, and stratigraphic columns. This region includes Eastern Siberia, Russian Far East, Mongolia, Northeast China, South Korea, and Japan. The files include: (1) a geodynamics map at a scale of 1:5,000,000; (2) page-size stratigraphic columns for major terranes; (3) a generalized geodynamics map at a scale of 1:15,000,000; (4) a mineral deposit location map at a scale of 1:7,500,000; (5) metallogenic belt maps at a scale of 1:15,000,000; (6) detailed descriptions of geologic units with references; (7) detailed descriptions of metallogenic belts with references; and (8) summary mineral deposit and metallogenic belt tables. The purpose of this publication is to provide high-quality, digital graphic files for maps and figures, and Word files for explanations, descriptions, and references to customers and users. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1260 Channel-Morphology Data for the Tongue River and Selected Tributaries, Southeastern Montana, 2001-02 CEOS_EXTRA STAC Catalog 2001-01-01 2002-12-31 -107, 45, -105, 47 https://cmr.earthdata.nasa.gov/search/concepts/C2231548542-CEOS_EXTRA.umm_json Coal-bed methane exploration and production have begun within the Tongue River watershed in southeastern Montana. The development of coal-bed methane requires production of large volumes of ground water, some of which may be discharged to streams, potentially increasing stream discharge and sediment load. Changes in stream discharge or sediment load may result in changes to channel morphology through changes in erosion and vegetation. These changes might be subtle and difficult to detect without baseline data that indicate stream-channel conditions before extensive coal-bed methane development began. In order to provide this baseline channel-morphology data, the U.S. Geological Survey, in cooperation with the Bureau of Land Management, collected channel-morphology data in 2001-02 to document baseline conditions for several reaches along the Tongue River and selected tributaries. This report presents channel-morphology data for five sites on the mainstem Tongue River and four sites on its tributaries. Bankfull, water-surface, and thalweg elevations, channel sections, and streambed-particle sizes were measured along reaches near streamflow-gaging stations. At each site, the channel was classified using methods described by Rosgen. For six sites, bankfull discharge was determined from the stage- discharge relation at the gage for the stage corresponding to the bankfull elevation. For three sites, the step-backwater computer model HEC-RAS was used to estimate bankfull discharge. Recurrence intervals for the bankfull discharge also were estimated for eight of the nine sites. Channel-morphology data for each site are presented in maps, tables, graphs, and photographs. [Summary provided by the USGS.] proprietary
USGS_OFR_2004_1265 Hydrologic Data Summary for the St. Lucie River Estuary, Martin and St. Lucie Counties, Florida, 1998-2001 CEOS_EXTRA STAC Catalog 1998-01-01 2001-12-31 -81, 27, -80, 28 https://cmr.earthdata.nasa.gov/search/concepts/C2231549907-CEOS_EXTRA.umm_json A hydrologic analysis was made at three canal sites and four tidal sites along the St. Lucie River Estuary in southeastern Florida from 1998 to 2001. The data included for analysis are stage, 15-minute flow, salinity, water temperature, turbidity, and suspended-solids concentration. During the period of record, the estuary experienced a drought, major storm events, and high-water discharge from Lake Okeechobee. Flow mainly occurred through the South Fork of the St. Lucie River; however, when flow increased through control structures along the C-23 and C-24 Canals, the North Fork was a larger than usual contributor of total freshwater inflow to the estuary. At one tidal site (Steele Point), the majority of flow was southward toward the St. Lucie Inlet; at a second tidal site (Indian River Bridge), the majority of flow was northward into the Indian River Lagoon. Large-volume stormwater discharge events greatly affected the St. Lucie River Estuary. Increased discharge typically was accompanied by salinity decreases that resulted in water becoming and remaining fresh throughout the estuary until the discharge events ended. Salinity in the estuary usually returned to prestorm levels within a few days after the events. Turbidity decreased and salinity began to increase almost immediately when the gates at the control structures closed. Salinity ranged from less than 1 to greater than 35 parts per thousand during the period of record (1998-2001), and typically varied by several parts per thousand during a tidal cycle. Suspended-solids concentrations were observed at one canal site (S-80) and two tidal sites (Speedy Point and Steele Point) during a discharge event in April and May 2000. Results suggest that most deposition of suspended-solids concentration occurs between S-80 and Speedy Point. The turbidity data collected also support this interpretation. The ratio of inorganic to organic suspended-solids concentration observed at S-80, Speedy Point, and Steele Point during the discharge event indicates that most flocculation of suspended-solids concentration occurs between Speedy Point and Steele Point. [Summary provided by the USGS.] proprietary
@@ -15897,8 +15899,8 @@ USGS_OFR_2005_1070_1.0 Molokai Benthic Habitat Mapping CEOS_EXTRA STAC Catalog 1
USGS_OFR_2005_1132_1.0 Ground-Magnetic Studies of the Amargosa Desert Region, California and Nevada CEOS_EXTRA STAC Catalog 1970-01-01 -124.9, 32.02, -113.61, 42.51 https://cmr.earthdata.nasa.gov/search/concepts/C2231555068-CEOS_EXTRA.umm_json High-resolution aeromagnetic surveys of the Amargosa Desert region, California and Nevada, exhibit a diverse array of magnetic anomalies reflecting a wide range of mid- and upper-crustal lithologies. In most cases, these anomalies can be interpreted in terms of exposed rocks and sedimentary deposits. More difficult to explain are linear magnetic anomalies situated over lithologies that typically have very low magnetizations. Aeromagnetic anomalies are observed, for example, over thick sections of Quaternary alluvial deposits and spring deposits associated with past or modern ground-water discharge in Ash Meadows, Pahrump Valley, and Furnace Creek Wash. Such deposits are typically considered nonmagnetic. To help determine the source of these aeromagnetic anomalies, we conducted ground-magnetic studies at five areas: near Death Valley Junction, at Point of Rocks Spring, at Devils Hole, at Fairbanks Spring, and near Travertine Springs. Depth-to-source calculations show that the sources of these anomalies lie within the Tertiary and Quaternary sedimentary section. We conclude that they are caused by discrete volcanic units lying above the pre-Tertiary basement. At Death Valley Junction and Travertine Springs, these concealed volcanic units are probably part of the Miocene Death Valley volcanic field exposed in the nearby Greenwater Range and Black Mountains. The linear nature of the aeromagnetic anomalies suggests that these concealed volcanic rocks are bounded and offset by near-surface faults. [Summary provided by the USGS.] proprietary
USGS_OFR_2005_1135_1.0 Modified Mercalli Intensity Maps for the 1906 San Francisco Earthquake Plotted in ShakeMap Format CEOS_EXTRA STAC Catalog 1906-04-18 1906-04-18 -124, 34, -120, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2231554244-CEOS_EXTRA.umm_json This website presents Modified Mercalli Intensity maps for the great San Francisco earthquake of April 18, 1906. These new maps combine two important developments. First, we have re-evaluated and relocated the damage and shaking reports compiled by Lawson (1908). These reports yield intensity estimates for more than 600 sites and constitute the largest set of intensities ever compiled for a single earthquake. Second, we use the recent ShakeMap methodology to map these intensities. The resulting MMI intensity maps are remarkably detailed and eloquently depict the enormous power and damage potential of this great earthquake. [Summary provided by the USGS.] proprietary
USGS_OFR_2005_1144 Huminite Reflectance Measurements of Paleocene and Upper Cretaceous Coals from Borehole Cuttings, Zavala and Dimmit Counties, South Texas CEOS_EXTRA STAC Catalog 1970-01-01 -107.31, 25.19, -92.85, 37.14 https://cmr.earthdata.nasa.gov/search/concepts/C2231553355-CEOS_EXTRA.umm_json The reflectance of huminite in 19 cuttings samples was determined in support of ongoing investigations into the coal bed methane potential of subsurface Paleocene and Upper Cretaceous coals of South Texas. Coal cuttings were obtained from the Core Research Center of the Bureau of Economic Geology, The University of Texas at Austin. Geophysical logs, mud-gas logs, driller's logs, completion cards, and scout tickets were used to select potentially coal-bearing sample suites and to identify specific sample depths. Reflectance measurements indicate coals of subbituminous rank are present in a wider area in South Texas than previously recognized. [Summary provided by the USGS.] proprietary
-USGS_OFR_2005_1148_1.0 Acid-Rock Drainage at Skytop, Centre County, Pennsylvania, 2004 CEOS_EXTRA STAC Catalog 1970-01-01 -80.82, 39.43, -74.41, 42.56 https://cmr.earthdata.nasa.gov/search/concepts/C2231550432-CEOS_EXTRA.umm_json Recent construction for Interstate Highway 99 (I?99) exposed pyrite and associated Zn-Pb sulfide minerals beneath a >10-m thick gossan to oxidative weathering along a 40-60-m deep roadcut through a 270-m long section of the Ordovician Bald Eagle Formation at Skytop, near State College, Centre County, Pennsylvania. Nearby Zn-Pb deposits hosted in associated sandstone and limestone in Blair and Centre Counties were prospected in the past; however, these deposits generally were not viable as commercial mines. The pyritic sandstone from the roadcut was crushed and used locally as road base and fill for adjoining segments of I?99. Within months, acidic (pH<3), metal-laden seeps and runoff from the exposed cut and crushed sandstone raised concerns about surface- and ground-water contamination and prompted a halt in road construction and the beginning of costly remediation. Mineralized sandstones from the cut contain as much as 34 wt. % Fe, 28 wt. % S, 3.5 wt. % Zn, 1% wt. Pb, 88 ppm As, and 32 ppm Cd. A composite of <2 mm material sampled from the cut face contains 8.1 wt. % total sulfide S, 0.6 wt. % sulfate S, and is net acidic by acid-base accounting (net neutralization potential ?234 kg CaCO3/t). Primary sulfide minerals include pyrite, marcasite, sphalerite (2 to 12 wt. % Fe) and traces of chalcopyrite and galena. Pyrite occurs in mm- to cm-scale veinlets and disseminated grains in sandstone, as needles, and in a locally massive pyrite-cemented breccia along a fault. Inclusions (<10 ?m) of CdS and Ni-Co-As minerals in pyrite and minor amounts of Cd in sphalerite (0.1 wt. % or less) explain the primary source of trace metals in the rock and in associated secondary minerals and seepage. Wet/dry cycles associated with intermittent rainfall promoted oxidative weathering and dissolution of primary sulfides and their oxidation products. Resulting sulfate solutions evaporated during dry periods to form intermittent ?blooms? of soluble, yellow and white efflorescent sulfate salts (copiapite, melanterite, and halotrichite) on exposed rock and other surfaces. Salts coating the cut face incorporated Fe, Al, S, and minor Zn. They readily dissolved in deionized water in the laboratory to form solutions with pH <2.5, consistent with field observations. In addition to elevated dissolved Fe and sulfate concentrations (>1,000 mg/L), seep waters at the base of the cut contain >100 mg/L dissolved Zn and >1 mg/L As, Co, Cu, and Ni. Lead is relatively immobile (<10 ?g/L in seep waters). The salts sequester metals and acidity between rainfall events. Episodic salt dissolution then contributes pulses of contamination including acid to surface runoff and ground water. The Skytop experience highlights the need to understand dynamic interactions of mineralogy and hydrology in order to avoid potentially negative environmental impacts associated with excavation in sulfidic rocks. [Summary provided by the USGS.] proprietary
USGS_OFR_2005_1148_1.0 Acid-Rock Drainage at Skytop, Centre County, Pennsylvania, 2004 ALL STAC Catalog 1970-01-01 -80.82, 39.43, -74.41, 42.56 https://cmr.earthdata.nasa.gov/search/concepts/C2231550432-CEOS_EXTRA.umm_json Recent construction for Interstate Highway 99 (I?99) exposed pyrite and associated Zn-Pb sulfide minerals beneath a >10-m thick gossan to oxidative weathering along a 40-60-m deep roadcut through a 270-m long section of the Ordovician Bald Eagle Formation at Skytop, near State College, Centre County, Pennsylvania. Nearby Zn-Pb deposits hosted in associated sandstone and limestone in Blair and Centre Counties were prospected in the past; however, these deposits generally were not viable as commercial mines. The pyritic sandstone from the roadcut was crushed and used locally as road base and fill for adjoining segments of I?99. Within months, acidic (pH<3), metal-laden seeps and runoff from the exposed cut and crushed sandstone raised concerns about surface- and ground-water contamination and prompted a halt in road construction and the beginning of costly remediation. Mineralized sandstones from the cut contain as much as 34 wt. % Fe, 28 wt. % S, 3.5 wt. % Zn, 1% wt. Pb, 88 ppm As, and 32 ppm Cd. A composite of <2 mm material sampled from the cut face contains 8.1 wt. % total sulfide S, 0.6 wt. % sulfate S, and is net acidic by acid-base accounting (net neutralization potential ?234 kg CaCO3/t). Primary sulfide minerals include pyrite, marcasite, sphalerite (2 to 12 wt. % Fe) and traces of chalcopyrite and galena. Pyrite occurs in mm- to cm-scale veinlets and disseminated grains in sandstone, as needles, and in a locally massive pyrite-cemented breccia along a fault. Inclusions (<10 ?m) of CdS and Ni-Co-As minerals in pyrite and minor amounts of Cd in sphalerite (0.1 wt. % or less) explain the primary source of trace metals in the rock and in associated secondary minerals and seepage. Wet/dry cycles associated with intermittent rainfall promoted oxidative weathering and dissolution of primary sulfides and their oxidation products. Resulting sulfate solutions evaporated during dry periods to form intermittent ?blooms? of soluble, yellow and white efflorescent sulfate salts (copiapite, melanterite, and halotrichite) on exposed rock and other surfaces. Salts coating the cut face incorporated Fe, Al, S, and minor Zn. They readily dissolved in deionized water in the laboratory to form solutions with pH <2.5, consistent with field observations. In addition to elevated dissolved Fe and sulfate concentrations (>1,000 mg/L), seep waters at the base of the cut contain >100 mg/L dissolved Zn and >1 mg/L As, Co, Cu, and Ni. Lead is relatively immobile (<10 ?g/L in seep waters). The salts sequester metals and acidity between rainfall events. Episodic salt dissolution then contributes pulses of contamination including acid to surface runoff and ground water. The Skytop experience highlights the need to understand dynamic interactions of mineralogy and hydrology in order to avoid potentially negative environmental impacts associated with excavation in sulfidic rocks. [Summary provided by the USGS.] proprietary
+USGS_OFR_2005_1148_1.0 Acid-Rock Drainage at Skytop, Centre County, Pennsylvania, 2004 CEOS_EXTRA STAC Catalog 1970-01-01 -80.82, 39.43, -74.41, 42.56 https://cmr.earthdata.nasa.gov/search/concepts/C2231550432-CEOS_EXTRA.umm_json Recent construction for Interstate Highway 99 (I?99) exposed pyrite and associated Zn-Pb sulfide minerals beneath a >10-m thick gossan to oxidative weathering along a 40-60-m deep roadcut through a 270-m long section of the Ordovician Bald Eagle Formation at Skytop, near State College, Centre County, Pennsylvania. Nearby Zn-Pb deposits hosted in associated sandstone and limestone in Blair and Centre Counties were prospected in the past; however, these deposits generally were not viable as commercial mines. The pyritic sandstone from the roadcut was crushed and used locally as road base and fill for adjoining segments of I?99. Within months, acidic (pH<3), metal-laden seeps and runoff from the exposed cut and crushed sandstone raised concerns about surface- and ground-water contamination and prompted a halt in road construction and the beginning of costly remediation. Mineralized sandstones from the cut contain as much as 34 wt. % Fe, 28 wt. % S, 3.5 wt. % Zn, 1% wt. Pb, 88 ppm As, and 32 ppm Cd. A composite of <2 mm material sampled from the cut face contains 8.1 wt. % total sulfide S, 0.6 wt. % sulfate S, and is net acidic by acid-base accounting (net neutralization potential ?234 kg CaCO3/t). Primary sulfide minerals include pyrite, marcasite, sphalerite (2 to 12 wt. % Fe) and traces of chalcopyrite and galena. Pyrite occurs in mm- to cm-scale veinlets and disseminated grains in sandstone, as needles, and in a locally massive pyrite-cemented breccia along a fault. Inclusions (<10 ?m) of CdS and Ni-Co-As minerals in pyrite and minor amounts of Cd in sphalerite (0.1 wt. % or less) explain the primary source of trace metals in the rock and in associated secondary minerals and seepage. Wet/dry cycles associated with intermittent rainfall promoted oxidative weathering and dissolution of primary sulfides and their oxidation products. Resulting sulfate solutions evaporated during dry periods to form intermittent ?blooms? of soluble, yellow and white efflorescent sulfate salts (copiapite, melanterite, and halotrichite) on exposed rock and other surfaces. Salts coating the cut face incorporated Fe, Al, S, and minor Zn. They readily dissolved in deionized water in the laboratory to form solutions with pH <2.5, consistent with field observations. In addition to elevated dissolved Fe and sulfate concentrations (>1,000 mg/L), seep waters at the base of the cut contain >100 mg/L dissolved Zn and >1 mg/L As, Co, Cu, and Ni. Lead is relatively immobile (<10 ?g/L in seep waters). The salts sequester metals and acidity between rainfall events. Episodic salt dissolution then contributes pulses of contamination including acid to surface runoff and ground water. The Skytop experience highlights the need to understand dynamic interactions of mineralogy and hydrology in order to avoid potentially negative environmental impacts associated with excavation in sulfidic rocks. [Summary provided by the USGS.] proprietary
USGS_OFR_2005_1153_1.0 Multibeam Bathymetry and Backscatter Data: Northeastern Channel Islands Region, Southern California CEOS_EXTRA STAC Catalog 2004-08-06 2004-08-15 -119.72, 33.88, -119.03, 34.33 https://cmr.earthdata.nasa.gov/search/concepts/C2231553010-CEOS_EXTRA.umm_json The U.S. Geological Survey (USGS) in cooperation with the Minerals Management Service (MMS) conducted multibeam mapping in the eastern Santa Barbara Channel and northeastern Channel Islands region from August 8 to15, 2004 aboard the R/V Maurice Ewing. The survey was directed and funded by the Minerals Management Service, which is interested in maps of hard bottom habitats, particularly natural outcrops, that support reef communities in areas affected by oil and gas activity. The maps are also useful to biologists studying fish that use the platforms and the sea floor beneath them as habitat. The survey collected bathymetry and corrected, co-registered acoustic backscatter using a Kongsberg Simrad EM1002 multibeam echosounder that was mounted on the hull of the R/V Maurice Ewing. Three main regions were mapped during the survey including: (1) the Eastern Santa Barbara Channel adjacent to an area previously mapped with multibeam-sonar by the Monterey Bay Aquarium Research Institute (see the MBARI Santa Barbara Basin Multibeam Survey web page), (2) the Footprint area south of Anacapa Island, which has been studied extensively by rockfish biologists and is considered a good site for a marine protected area, and (3) part of the submarine canyons along the continental slope south of Port Hueneme. These data will be used to support a number of new and ongoing projects including, habitat mapping, shelf and slope processes, and offshore hazards and resources. [Summary provided by the USGS.] proprietary
USGS_OFR_2005_1164_1.0 An Assessment of Volcanic Threat and Monitoring Capabilities in the United States: Framework for a National Volcano Early Warning System CEOS_EXTRA STAC Catalog 1970-01-01 -177.1, 13.71, -61.48, 76.63 https://cmr.earthdata.nasa.gov/search/concepts/C2231551822-CEOS_EXTRA.umm_json A National Volcano Early Warning System NVEWS is being formulated by the Consortium of U.S. Volcano Observatories (CUSVO) to establish a proactive, fully integrated, national-scale monitoring effort that ensures the most threatening volcanoes in the United States are properly monitored in advance of the onset of unrest and at levels commensurate with the threats posed. Volcanic threat is the combination of hazards (the destructive natural phenomena produced by a volcano) and exposure (people and property at risk from the hazards). The United States has abundant volcanoes, and over the past 25 years the Nation has experienced a diverse range of the destructive phenomena that volcanoes can produce. Hazardous volcanic activity will continue to occur, and because of increasing population, increasing development, and expanding national and international air traffic over volcanic regions the exposure of human life and enterprise to volcano hazards is increasing. Fortunately, volcanoes exhibit precursory unrest that if detected and analyzed in time allows eruptions to be anticipated and communities at risk to be forewarned with reliable information in sufficient time to implement response plans and mitigation measures. In the 25 years since the cataclysmic eruption of Mount St. Helens, scientific and technological advances in volcanology have been used to develop and test models of volcanic behavior and to make reliable forecasts of expected activity a reality. Until now, these technologies and methods have been applied on an ad hoc basis to volcanoes showing signs of activity. However, waiting to deploy a robust, modern monitoring effort until a hazardous volcano awakens and an unrest crisis begins is socially and scientifically unsatisfactory because it forces scientists, civil authorities, citizens, and businesses into playing catch up with the volcano, trying to get instruments and civil-defense measures in place before the unrest escalates and the situation worsens. Inevitably, this manner of response results in our missing crucial early stages of the volcanic unrest and hampers our ability to accurately forecast events. Restless volcanoes do not always progress to eruption; nevertheless, monitoring is necessary in such cases to minimize either over-reacting, which costs money, or under-reacting, which may cost lives. [Summary provided by the USGS.] proprietary
USGS_OFR_2005_1176 Flooding of the Androscoggin River during December 18-19, 2003, in Canton, Maine CEOS_EXTRA STAC Catalog 2003-12-18 2003-12-19 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C2231550802-CEOS_EXTRA.umm_json The Androscoggin River flooded the town of Canton, Maine in December 2003, resulting in damage to and (or) evacuation of 44 homes. Streamflow records at the U.S. Geological Survey (USGS) streamflow-gaging stations at Rumford (USGS station identification number 01054500) and Auburn (01059000) were used to estimate the peak streamflow for the Androscoggin in the town of Canton for this flood (December 18-19, 2003). The estimated peak flood streamflow at Canton was approximately 39,800 ft3/s, corresponding to an estimated recurrence interval of 4.4 years; however, an ice jam downstream from Canton Point on December 18-19 obstructed river flow resulting in a high-water elevation commensurate with an open-water flood approximately equal to a 15-year event. The high water-surface elevations attained during the December 18-19 flood event in Canton were higher than the expected open-water flood water-surface elevations; this verified the assumption that the water-surface elevation was augmented due to the downstream ice jam. The change in slope of the riverbed from upstream of Canton to the impoundment at the downstream corporate limits, and the river bend near Stevens Island are principal factors in ice-jam formation near Canton. The U.S. Army Corps of Engineers Ice Jam Database indicates five ice-jam-related floods (including December 2003) for the town of Canton: March 13, 1936; January 1978; March 12, 1987; January 29, 1996; and December 18-19, 2003. There have been more ice-jam-related flood events in Canton than these five documented events, but the exact number and nature of ice jams in Canton cannot be determined without further research. proprietary
@@ -16005,13 +16007,13 @@ USGS_OFR_99-78_1.0 Digital Data Sets Describing Water Use, Toxic Chemical Releas
USGS_OFR_99_414_1.0 Geologic Datasets for Weights-of-Evidence Analysis in Northeast Washington--3. Minerals-Related Permits on National Forests, 1967 to 1998 CEOS_EXTRA STAC Catalog 1998-01-01 1998-12-31 -121.25, 47.25, -117, 49 https://cmr.earthdata.nasa.gov/search/concepts/C2231554622-CEOS_EXTRA.umm_json This dataset was developed to provide mineral resource data for the region of northeast WA for use in future spatial analysis by a variety of users. This database is not meant to be used or displayed at any scale larger than 1:24,000. Permits to explore for and (or) develop mineral resources on Federal lands can be used to indicate locations and types of mineral-related activities on national forests. Permits for these activities require filing of a Notice of Intent to conduct mineral exploration activities and (or) a Plan of Operation, if significant land disturbance results. This compilation of notices and plans for the Colville, Kaniksu, Okanogan, and Wenatchee national forests between 1967 and 1998 is intended for use in combination with geologic and economic information to predict future mineral-related activities in the region. This dataset consists of one Excel 97 spreadsheet file (of99-414.xls) which contains information about permits on national forest lands in northeast Washington State. [Summary provided by the USGS.] proprietary
USGS_OFR_99_436 Archive of Sparker Subbottom Data Collected During USGS Cruise ALPH 98013, New York, 10-22 September, 1997 CEOS_EXTRA STAC Catalog 1998-09-10 1998-09-22 -74, 40.16, -73.25, 40.58 https://cmr.earthdata.nasa.gov/search/concepts/C2231550021-CEOS_EXTRA.umm_json This project will generate reconnaissance maps of the sea floor offshore of the New York - New Jersey metropolitan area -- the most heavily populated, and one of the most impacted coastal regions of the United States. The surveys will provide an overall synthesis of the sea floor environment, including seabed texture and bed forms, Quaternary strata geometry, and anthropogenic impact (e.g., ocean dumping, trawling, channel dredging). The goal of this project is to survey the offshore area, the harbor, and the southern shore of Long Island, providing a regional synthesis to support a wide range of management decisions and a basis for further process-oriented investigations. The project is conducted cooperatively with the U.S. Army Corps of Engineer (USACE). This CD-ROM contains digital high resolution seismic reflection data collected during the USGS ALPH 98013 cruise. The seismic-reflection data are stored as SEG-Y standard format that can be read and manipulated by most seismic-processing software. Much of the information specific to the data are contained in the headers of the SEG-Y format files. The file system format is ISO 9660 which can be read with DOS, Unix, and MAC operating systems with the appropriate CD-ROM driver software installed. [Summary provided by the USGS.] proprietary
USGS_OFR_99_438_1.0 Digital geologic map of part of the Thompson Falls 1:100,000 quadrangle, Idaho CEOS_EXTRA STAC Catalog 1999-01-01 1999-12-31 -116, 47.5, -115, 48 https://cmr.earthdata.nasa.gov/search/concepts/C2231554236-CEOS_EXTRA.umm_json This data set was developed to provide geologic map GIS of the Idaho portion of the Thompson Falls 1:100,000 quadrangle for use in future spatial analysis by a variety of users. This database is not meant to be used or displayed at any scale larger than 1:100,000 (e.g., 1:62,500 or 1:24,000). The geology of the Thompson Falls 1:100,000 quadrangle, Idaho was compiled by Reed S. Lewis in 1997 onto a 1:100,000-scale topographic base map for input into an Arc/Info geographic information system (GIS). The digital geologic map database can be queried in many ways to produce a variety of derivative geologic maps. This GIS consists of two major Arc/Info data sets: one line and polygon file (tf100k) containing geologic contacts and structures (lines) and geologic map rock units (polygons), and one point file (tfpnt) containing structural data. [Summary provided by the USGS.] proprietary
-USGS_OFR_Acid_Deposition Acid Deposition Sensitivity of the Southern Appalachian Assessment Area CEOS_EXTRA STAC Catalog 1970-01-01 -87, 31, -77, 39 https://cmr.earthdata.nasa.gov/search/concepts/C2231550930-CEOS_EXTRA.umm_json The Acid Deposition Sensitivity of the Southern Appalachian Assessment Area is a project that studies areas having various susceptibilities to acid deposition from air pollution which are designated on a three tier ranking in the region of the Southern Appalachian Assessment (SAA). The assessment is being conducted by Federal agencies that are members of the Southern Appalachian Man and Biosphere (SAMAB) Cooperative. Sensitivities to acid deposition, ranked high, medium, and low are assigned on the basis of bedrock compositions and their associated soils, and their capacities to neutralize acid precipitation. The data is available in Arc/Info export format. [Summary provided by the USGS] proprietary
USGS_OFR_Acid_Deposition Acid Deposition Sensitivity of the Southern Appalachian Assessment Area ALL STAC Catalog 1970-01-01 -87, 31, -77, 39 https://cmr.earthdata.nasa.gov/search/concepts/C2231550930-CEOS_EXTRA.umm_json The Acid Deposition Sensitivity of the Southern Appalachian Assessment Area is a project that studies areas having various susceptibilities to acid deposition from air pollution which are designated on a three tier ranking in the region of the Southern Appalachian Assessment (SAA). The assessment is being conducted by Federal agencies that are members of the Southern Appalachian Man and Biosphere (SAMAB) Cooperative. Sensitivities to acid deposition, ranked high, medium, and low are assigned on the basis of bedrock compositions and their associated soils, and their capacities to neutralize acid precipitation. The data is available in Arc/Info export format. [Summary provided by the USGS] proprietary
+USGS_OFR_Acid_Deposition Acid Deposition Sensitivity of the Southern Appalachian Assessment Area CEOS_EXTRA STAC Catalog 1970-01-01 -87, 31, -77, 39 https://cmr.earthdata.nasa.gov/search/concepts/C2231550930-CEOS_EXTRA.umm_json The Acid Deposition Sensitivity of the Southern Appalachian Assessment Area is a project that studies areas having various susceptibilities to acid deposition from air pollution which are designated on a three tier ranking in the region of the Southern Appalachian Assessment (SAA). The assessment is being conducted by Federal agencies that are members of the Southern Appalachian Man and Biosphere (SAMAB) Cooperative. Sensitivities to acid deposition, ranked high, medium, and low are assigned on the basis of bedrock compositions and their associated soils, and their capacities to neutralize acid precipitation. The data is available in Arc/Info export format. [Summary provided by the USGS] proprietary
USGS_OFR_aqbound_1.0 Digital boundaries of the Antlers aquifer in southeastern Oklahoma CEOS_EXTRA STAC Catalog 1992-01-01 1992-12-31 -97.4976, 33.7288, -94.4684, 34.3644 https://cmr.earthdata.nasa.gov/search/concepts/C2231550862-CEOS_EXTRA.umm_json This data set was created for a project to develop data sets to support ground-water vulnerability analysis. The objective was to create and document a digital geospatial data set from a published report or map, or existing digital geospatial data sets that could be used in ground-water vulnerability analysis. This data set consists of digitized aquifer boundaries of the Antlers aquifer in southeastern Oklahoma. The Early Cretaceous-age Antlers Sandstone is an important source of water in an area that underlies about 4,400-square miles of all or part of Atoka, Bryan, Carter, Choctaw, Johnston, Love, Marshall, McCurtain, and Pushmataha Counties. The Antlers aquifer consists of sand, clay, conglomerate, and limestone in the outcrop area. The upper part of the Antlers aquifer consists of beds of sand, poorly cemented sandstone, sandy shale, silt, and clay. The Antlers aquifer is unconfined where it outcrops in about an 1,800-square-mile area. The data set includes the outcrop area of the Antlers Sandstone in Oklahoma and areas where the Antlers is overlain by alluvial and terrace deposits and a few small thin outcrops of the Goodland Limestone. Most of the aquifer boundary lines were extracted from published digital geology data sets. Some of the lines were interpolated in areas where the Antlers aquifer is overlain by alluvial and terrace deposits near streams and rivers. The interpolated lines are very similar to the aquifer boundaries published in a ground-water modeling report for the Antlers aquifer. The maps from which this data set was derived were scanned or digitized from maps published at a scale of 1:250,000. This data set is one of four digital map data sets being published together for this aquifer. The four data sets are: aqbound - aquifer boundaries cond - hydraulic conductivity recharg - aquifer recharge wlelev - water-level elevation contours proprietary
-USGS_P-11_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Coastal Province ALL STAC Catalog 1990-12-01 1990-12-01 -123.80987, 34.66294, -118.997696, 39.082233 https://cmr.earthdata.nasa.gov/search/concepts/C2231552077-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 11 (Central Coastal) are listed here by play number, type, and name: Number Type Name 1101 conventional Point Arena Oil 1102 conventional Point Reyes Oil 1103 conventional Pescadero Oil 1104 conventional La Honda Oil 1105 conventional Bitterwater Oil 1106 conventional Salinas Oil 1107 conventional Western Cuyama Basin 1109 conventional Cox Graben proprietary
USGS_P-11_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Coastal Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -123.80987, 34.66294, -118.997696, 39.082233 https://cmr.earthdata.nasa.gov/search/concepts/C2231552077-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 11 (Central Coastal) are listed here by play number, type, and name: Number Type Name 1101 conventional Point Arena Oil 1102 conventional Point Reyes Oil 1103 conventional Pescadero Oil 1104 conventional La Honda Oil 1105 conventional Bitterwater Oil 1106 conventional Salinas Oil 1107 conventional Western Cuyama Basin 1109 conventional Cox Graben proprietary
-USGS_P-11_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Central Coastal Province ALL STAC Catalog 1996-01-01 1996-12-31 -123.80987, 34.66294, -118.997696, 39.082233 https://cmr.earthdata.nasa.gov/search/concepts/C2231551956-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 11 (Central Coastal) are listed here by play number and name: Number Name 1101 Point Arena Oil 1102 Point Reyes Oil 1103 Pescadero Oil 1104 La Honda Oil 1105 Bitterwater Oil 1106 Salinas Oil 1107 Western Cuyama Basin 1109 Cox Graben proprietary
+USGS_P-11_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Coastal Province ALL STAC Catalog 1990-12-01 1990-12-01 -123.80987, 34.66294, -118.997696, 39.082233 https://cmr.earthdata.nasa.gov/search/concepts/C2231552077-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 11 (Central Coastal) are listed here by play number, type, and name: Number Type Name 1101 conventional Point Arena Oil 1102 conventional Point Reyes Oil 1103 conventional Pescadero Oil 1104 conventional La Honda Oil 1105 conventional Bitterwater Oil 1106 conventional Salinas Oil 1107 conventional Western Cuyama Basin 1109 conventional Cox Graben proprietary
USGS_P-11_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Central Coastal Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -123.80987, 34.66294, -118.997696, 39.082233 https://cmr.earthdata.nasa.gov/search/concepts/C2231551956-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 11 (Central Coastal) are listed here by play number and name: Number Name 1101 Point Arena Oil 1102 Point Reyes Oil 1103 Pescadero Oil 1104 La Honda Oil 1105 Bitterwater Oil 1106 Salinas Oil 1107 Western Cuyama Basin 1109 Cox Graben proprietary
+USGS_P-11_conventional 1995 National Oil and Gas Assessment Conventional Plays within the Central Coastal Province ALL STAC Catalog 1996-01-01 1996-12-31 -123.80987, 34.66294, -118.997696, 39.082233 https://cmr.earthdata.nasa.gov/search/concepts/C2231551956-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 11 (Central Coastal) are listed here by play number and name: Number Name 1101 Point Arena Oil 1102 Point Reyes Oil 1103 Pescadero Oil 1104 La Honda Oil 1105 Bitterwater Oil 1106 Salinas Oil 1107 Western Cuyama Basin 1109 Cox Graben proprietary
USGS_P1650-a_1.0 Atlas of Relations Between Climatic Parameters and Distributions of Important Trees and Shrubs in North America CEOS_EXTRA STAC Catalog 1970-01-01 -170, 20, -80, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231552968-CEOS_EXTRA.umm_json This atlas explores the continental-scale relations between the geographic ranges of woody plant species and climate in North America. A 25-km equal-area grid of modern climatic and bioclimatic parameters was constructed from instrumental weather records. The geographic distributions of selected tree and shrub species were digitized, and the presence or absence of each species was determined for each cell on the 25-km grid, thus providing a basis for comparing climatic data and species' distributions. The relations between climate and plant distributions are explored in graphical and tabular form. The results of this effort are primarily intended for use in biogeographic, paleoclimatic, and global-change research. These web pages provide access to the text, digital representations of figures, and supplemental data files from USGS Professional Paper 1650, chapters A and B. A printed set of these volumes can be ordered from the USGS at a cost of US$63.00. To order, please call or write: USGS Information Services Box 25286 Denver Federal Center Denver, CO 80225 Tel: 303-202-4700; Fax: 303-202-4693 [Summary provided by the USGS.] proprietary
USGS_PA_DIGIT_1.0 Digital drainage basin boundaries of named streams in Pennsylvania CEOS_EXTRA STAC Catalog 1970-01-01 -76.4304, 39.7151, -74.6865, 42.0007 https://cmr.earthdata.nasa.gov/search/concepts/C2231548560-CEOS_EXTRA.umm_json "In 1989, the Pennsylvania Department of Environmental Resources (PaDER), in cooperation with the U.S. Geological Survey, Water Resources Division (USGS published the Pennsylvania (PA) Gazetteer of Streams. This publication contains information related to named streams in Pennsylvania. Drainage basin boundaries are delineated on the 7.5-minute series topographic paper quadrangle maps for PA and parts of the bordering states of New York, Maryland, Ohio, West Virginia, and Delaware. These boundaries enclose catchment areas for named streams officially recognized by the Board on Geographic Names and other unofficially named streams that flow through named hollows, using the hollow name, e.g. ""Smith Hollow"". This was done in an effort to name as many of the 64,000 streams as possible. In 1991, work began by USGS to put these drainage basin boundaries into digital form for use in a geographic information system (GIS). Digitizing started with USGS in Lemoyne, PA., but expanded with assistance by PaDER and the Natural Resource Conservation Service (NRCS), formerly the U.S Department of Agriculture, Soil Conservation Service (SCS). USGS performed all editing, attributing, and edgematching. There are 878, 7.5-minute quadrangle maps in PA. This documentation applies to only those maps in the Delaware River basin (164). Parts of the Delaware River drainage originate outside the PA border. At this time, no effort is being made by USGS to include those named stream basins. [Summary provided by the USGS.]" proprietary
USGS_PONTCHARTRAIN Geologic Framework and Processes of the Lake Pontchartrain Basin CEOS_EXTRA STAC Catalog 1970-01-01 -91, 29, -89, 31 https://cmr.earthdata.nasa.gov/search/concepts/C2231549642-CEOS_EXTRA.umm_json Lake Pontchartrain and adjacent lakes in Louisiana form one of the larger estuaries in the Gulf Coast region. The estuary drains the Pontchartrain Basin (at right), an area of over 12,000 km2 situated on the eastern side of the Mississippi River delta plain. In Louisiana, nearly one-third of the State population lives within the 14 parishes of the basin. Over the past 60 years, rapid growth and development within the basin, along with natural processes, have resulted in significant environmental degradation and loss of critical habitat in and around Lake Pontchartrain. Human activities associated with pollutant discharge and surface drainage have greatly affected the water quality in the lake. This change is evident in the bottom sediments, which record the historic health of the lake. Also, land-altering activities such as logging, dredging, and flood control in and around the lake, lead to shoreline erosion and loss of wetlands.The effects of pollution, shoreline erosion and wetland loss on the lake and surrounding areas have become a major public concern. To better understand the basin's origin and the processes driving its development and degradation requires a wide-ranging study involving many organizations and personnel. When the U.S. Geological Survey began the study of Lake Pontchartrain in 1994, information on four topics was needed: -Geologic Framework, or how the various sedimentary layers that make up the basin are put together -Sediment Characterization, that is, what are the sediments made of, where did they come from, and what kinds of pollutants do they contain -Shoreline and Wetland Change over time -what are the processes that control Water Circulation [Summary provided by the USGS.] proprietary
@@ -16024,8 +16026,8 @@ USGS_SESC_ExtinctFish Extinct North American Freshwater Fishes CEOS_EXTRA STAC C
USGS_SESC_ImperiledFish American Fisheries Society Imperiled Freshwater and Diadromous Fishes of North America CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231551557-CEOS_EXTRA.umm_json About: This website presents the 2008 American Fisheries Society Endangered Species Committee list of imperiled North American freshwater and diadromous fishes. The committee considered continental fishes native to Canada, Mexico, and the United States, evaluated their conservation status and determined the major threats impacting these taxa. We use the terms taxon (singular) or taxa (plural) to include named species, named subspecies, undescribed forms, and distinct populations as characterized by unique morphological, genetic, ecological, or other attributes warranting taxonomic recognition. Undescribed taxa are included, based on the above diagnostic criteria in combination with known geographic distributions and documentation deemed of scientific merit, as evidenced from publication in peer-reviewed literature, conference abstracts, unpublished theses or dissertations, or information provided by recognized taxonomic experts. Although we did not independently evaluate the taxonomic validity of undescribed taxa, the committee adopted a conservative approach to recognize them on the basis of prevailing evidence which suggests that these forms are sufficiently distinct to warrant conservation and management actions. Summary: This is the third compilation of imperiled (i.e., endangered, threatened, vulnerable) plus extinct freshwater and diadromous fishes of North America prepared by the American Fisheries Society's Endangered Species Committee. Since the last revision in 1989, imperilment of inland fishes has increased substantially. This list includes 700 extant taxa representing 133 genera and 36 families, a 92% increase over the 364 listed in 1989. The increase reflects the addition of distinct populations, previously non-imperiled fishes, and recently described or discovered taxa. Approximately 39% of described fish species of the continent are imperiled. There are 230 vulnerable, 190 threatened, and 280 endangered extant taxa; 61 taxa are presumed extinct or extirpated from nature. Of those that were imperiled in 1989, most (89%) are the same or worse in conservation status; only 6% have improved in status, and 5% were delisted for various reasons. Habitat degradation and nonindigenous species are the main threats to at-risk fishes, many of which are restricted to small ranges. Documenting the diversity and status of rare fishes is a critical step in identifying and implementing appropriate actions necessary for their protection and management. Maps: In collaboration with the World Wildlife Fund, the committee developed a map of freshwater ecoregions that combines spatial and faunistic information derived from Maxwell and others (1995), Abell and others (2000; 2008), U.S. Geological Survey Hydrologic Unit Code maps (Watermolen 2002), Atlas of Canada (2003), and Commission for Environmental Cooperation (2007). Eighty ecoregions were identified based on physiography and faunal assemblages of the Atlantic, Arctic, and Pacific basins. Each taxon on the list was assigned to one or more ecoregions that circumscribes its native distribution. A variety of sources were used to obtain distributional information, most notably Lee and others (1980), Hocutt and Wiley (1986), Page and Burr (1991), Behnke (2002), Miller and others (2005), numerous state and provincial fish books for the United States and Canada, and the primary literature, including original taxonomic descriptions. Taxa were also associated with the states or provinces where they naturally occur or occurred in the past. proprietary
USGS_SESC_ImperiledFreshwaterOrganisms Imperiled Freshwater Organisms of North America CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231549663-CEOS_EXTRA.umm_json This website provides access to maps and lists of imperiled freshwater organisms of North America as determined by the American Fisheries Society (AFS) Endangered Species Committee (ESC). At this website, one can view lists of animals by freshwater ecoregion, by state or province boundary, and plot distributions of these same creatures by ecoregions or political boundaries. Both the AFS and U.S. Geological Survey (USGS) have a long standing commitment to the advancement of aquatic sciences and sharing that information with the public. Since 1972, the ESC has been tracking the status of imperiled fishes and aquatic invertebrates in North America. Recently, the fish (2008) and crayfish (2007) subcommittees provided revised status lists of at-risk taxa, and the mussel and snail subcommittees are in the process of completing similar revisions. Historically, the revised AFS lists of imperiled fauna have been published in Fisheries. With rapid advances in technology and information transfer, there is a growing need to provide to stakeholders immediate and dynamic data on imperiled resources. The USGS is a leader in aquatic resource research that effectively disseminates results from those studies to the public through print and internet media. A Memorandum Of Understanding formally establishes an agreement between the AFS and USGS to create this website that will serve as a conduit for information exchange about imperiled aquatic organisms of North America. proprietary
USGS_SESC_SnailStatus American Fisheries Society List of Freshwater Snails from Canada and the United States CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231551686-CEOS_EXTRA.umm_json About: This website presents the 2013 American Fisheries Society Endangered Species Committee list of freshwater snails (Gastropods) of United States and Canada. The committee evaluated the conservation status and determined the major threats impacting these taxa. Summary: This is the first conservation status review for freshwater snails (gastropods) of Canada and the United States by the American Fisheries Society's Endangered Species Freshwater Gastropod Subcommittee. The goals of this contribution are to provide: 1) a current and comprehensive taxonomic authority list for all native freshwater gastropods of Canada and the United States, 2) provincial and state distributions as presently understood, 3) a conservation assessment, and, 4) references on their biology, distribution and conservation. Freshwater gastropods occupy every type of aquatic habitat ranging from subterranean aquifers to brawling montane headwater creeks. Gastropods are ubiquitous invertebrates and frequently dominate aquatic invertebrate biomass. Of the 703 gastropods documented by Johnson et al. (2013), 74% are imperiled or extinct (278 endangered, 102 threatened, 73 vulnerable, and 67 are considered extinct); only 157 species are considered stable. Map queries display species distributions in provinces and states in which they are believed to occur or occurred in the past, but considerable fieldwork is required to determine exact geographic limits of species. We hope this list stimulates a surge in the study of freshwater gastropods. Supporting Literature: Supporting literature for the North American freshwater gastropods assessment are organized alphabetically by state and province, followed by national, regional, and other general references. This literature compilation is not comprehensive, but offers considerable information for individuals interested in freshwater snails. Recovery Examples: Although the gastropod fauna of Canada and the United States is beleaguered by multiple forms of habitat loss, the fauna is resilient and capable of remarkable recovery when suitable habitat is available. Three examples of recovery demonstrate the inherent reviving potential of freshwater gastropods. Images of the incredible diversity of freshwater snails are presented in plates and photo gallery. Maps: Each species on the list was assigned to one or more states or provinces that circumscribe its native distribution. Mapped distributions indicate where taxa naturally occur or occurred in the past. Resources used to obtain distributional information include state and regional publications. proprietary
-USGS_SESC_SturgeonBiblio_3 A bibliography of all known publications & reports on the Gulf Sturgeon, Acipenser oxyrinchus desotoi. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231552134-CEOS_EXTRA.umm_json "This functional bibliography is meant to be a complete and comprehensive bibliography of all discoverable reports containing information on the Gulf Sturgeon (GS). This bibliography contains all known reports presenting, documenting, summarizing, listing, or interpreting information on the GS through 31 December 2013. Report citations are organized into four sections. Section I includes published scientific journal articles, books, dissertations and theses, published and unpublished technical reports, published harvest prohibitions, and online articles reporting substantive scientific information. Section II includes newspaper, newsletter, magazine, book, agency news releases, and online articles reporting on GS occurrences, mortalities, captures, jumping, boat collisions, aquaculture, historical photographs, and other largely non-scientific or anecdotal issues. Section III consists of books, theses, ecotour-guides, media articles, editorials, and blogs reporting a mix of anecdotal information, historical information, and opinion on GS conservation, habitat issues, exploitation, aquaculture, and human interaction - but presenting very limited or no substantive scientific information. Section IV includes videos, films and audio recordings documenting GS life history and behavior. Each reference includes a bibliographic citation, as well as a brief annotation of key topics in brackets, where possible. The names of journals, theses, dissertations, and books are given in bold within each citation, and relevant page numbers are noted in parentheses at the end of citations, where applicable. Newspaper and magazine article titles are placed within parentheses. Key topic annotations are inserted in bracketed italics on a separate line. If the reference reports GS information under a different common or scientific name (e.g., Atlantic Sturgeon, Common Sturgeon, Sturgeon, Sea Sturgeon, Acipenser oxyrinchus oxyrinchus, Acipenser oxyrhynchus or Acipenser sturio), a notation to that effect is given within the key words annotation line, e.g., [Reported as ""Atlantic sturgeon""]. A small number of reports could not be obtained. These include historical reports from newspapers and magazines long out of circulation. In these limited cases, titles are still provided to substantiate their existence. Other reports that are no longer readily available, but which have been obtained during preparation of this bibliography, have been archived in hardcopy and/or as scanned pdf files at USGS, SESC. Copies of such hard to obtain reports, if non-copyrighted, may be available upon request from USGS corresponding author, via email: mrandall@usgs.gov." proprietary
USGS_SESC_SturgeonBiblio_3 A bibliography of all known publications & reports on the Gulf Sturgeon, Acipenser oxyrinchus desotoi. CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231552134-CEOS_EXTRA.umm_json "This functional bibliography is meant to be a complete and comprehensive bibliography of all discoverable reports containing information on the Gulf Sturgeon (GS). This bibliography contains all known reports presenting, documenting, summarizing, listing, or interpreting information on the GS through 31 December 2013. Report citations are organized into four sections. Section I includes published scientific journal articles, books, dissertations and theses, published and unpublished technical reports, published harvest prohibitions, and online articles reporting substantive scientific information. Section II includes newspaper, newsletter, magazine, book, agency news releases, and online articles reporting on GS occurrences, mortalities, captures, jumping, boat collisions, aquaculture, historical photographs, and other largely non-scientific or anecdotal issues. Section III consists of books, theses, ecotour-guides, media articles, editorials, and blogs reporting a mix of anecdotal information, historical information, and opinion on GS conservation, habitat issues, exploitation, aquaculture, and human interaction - but presenting very limited or no substantive scientific information. Section IV includes videos, films and audio recordings documenting GS life history and behavior. Each reference includes a bibliographic citation, as well as a brief annotation of key topics in brackets, where possible. The names of journals, theses, dissertations, and books are given in bold within each citation, and relevant page numbers are noted in parentheses at the end of citations, where applicable. Newspaper and magazine article titles are placed within parentheses. Key topic annotations are inserted in bracketed italics on a separate line. If the reference reports GS information under a different common or scientific name (e.g., Atlantic Sturgeon, Common Sturgeon, Sturgeon, Sea Sturgeon, Acipenser oxyrinchus oxyrinchus, Acipenser oxyrhynchus or Acipenser sturio), a notation to that effect is given within the key words annotation line, e.g., [Reported as ""Atlantic sturgeon""]. A small number of reports could not be obtained. These include historical reports from newspapers and magazines long out of circulation. In these limited cases, titles are still provided to substantiate their existence. Other reports that are no longer readily available, but which have been obtained during preparation of this bibliography, have been archived in hardcopy and/or as scanned pdf files at USGS, SESC. Copies of such hard to obtain reports, if non-copyrighted, may be available upon request from USGS corresponding author, via email: mrandall@usgs.gov." proprietary
+USGS_SESC_SturgeonBiblio_3 A bibliography of all known publications & reports on the Gulf Sturgeon, Acipenser oxyrinchus desotoi. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231552134-CEOS_EXTRA.umm_json "This functional bibliography is meant to be a complete and comprehensive bibliography of all discoverable reports containing information on the Gulf Sturgeon (GS). This bibliography contains all known reports presenting, documenting, summarizing, listing, or interpreting information on the GS through 31 December 2013. Report citations are organized into four sections. Section I includes published scientific journal articles, books, dissertations and theses, published and unpublished technical reports, published harvest prohibitions, and online articles reporting substantive scientific information. Section II includes newspaper, newsletter, magazine, book, agency news releases, and online articles reporting on GS occurrences, mortalities, captures, jumping, boat collisions, aquaculture, historical photographs, and other largely non-scientific or anecdotal issues. Section III consists of books, theses, ecotour-guides, media articles, editorials, and blogs reporting a mix of anecdotal information, historical information, and opinion on GS conservation, habitat issues, exploitation, aquaculture, and human interaction - but presenting very limited or no substantive scientific information. Section IV includes videos, films and audio recordings documenting GS life history and behavior. Each reference includes a bibliographic citation, as well as a brief annotation of key topics in brackets, where possible. The names of journals, theses, dissertations, and books are given in bold within each citation, and relevant page numbers are noted in parentheses at the end of citations, where applicable. Newspaper and magazine article titles are placed within parentheses. Key topic annotations are inserted in bracketed italics on a separate line. If the reference reports GS information under a different common or scientific name (e.g., Atlantic Sturgeon, Common Sturgeon, Sturgeon, Sea Sturgeon, Acipenser oxyrinchus oxyrinchus, Acipenser oxyrhynchus or Acipenser sturio), a notation to that effect is given within the key words annotation line, e.g., [Reported as ""Atlantic sturgeon""]. A small number of reports could not be obtained. These include historical reports from newspapers and magazines long out of circulation. In these limited cases, titles are still provided to substantiate their existence. Other reports that are no longer readily available, but which have been obtained during preparation of this bibliography, have been archived in hardcopy and/or as scanned pdf files at USGS, SESC. Copies of such hard to obtain reports, if non-copyrighted, may be available upon request from USGS corresponding author, via email: mrandall@usgs.gov." proprietary
USGS_SIR-5079_MSRiverFloodMaps Development of flood-inundation maps for the Mississippi River in Saint Paul, Minnesota CEOS_EXTRA STAC Catalog 1970-01-01 -93.15028, 44.90479, -92.999855, 44.97016 https://cmr.earthdata.nasa.gov/search/concepts/C2231549022-CEOS_EXTRA.umm_json Digital flood-inundation maps for a 6.3-mile reach of the Mississippi River in Saint Paul, Minnesota, were developed through a multi-agency effort by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers and in collaboration with the National Weather Service. The inundation maps, which can be accessed through the U.S. Geological Survey Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ and the National Weather Service Advanced Hydrologic Prediction Service site at http://water.weather.gov/ahps/inundation.php , depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the U.S. Geological Survey streamgage at the Mississippi River at Saint Paul (05331000). The National Weather Service forecasted peak-stage information at the streamgage may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the Mississippi River by means of a one-dimensional step-backwater model. The hydraulic model was calibrated using the most recent stage-discharge relation at the Robert Street location (rating curve number 38.0) of the Mississippi River at Saint Paul (streamgage 05331000), as well as an approximate water-surface elevation-discharge relation at the Mississippi River at South Saint Paul (U.S. Army Corps of Engineers streamgage SSPM5). The model also was verified against observed high-water marks from the recent 2011 flood event and the water-surface profile from existing flood insurance studies. The hydraulic model was then used to determine 25 water-surface profiles for flood stages at 1-foot intervals ranging from approximately bankfull stage to greater than the highest recorded stage at streamgage 05331000. The simulated water-surface profiles were then combined with a geographic information system digital elevation model, derived from high-resolution topography data, to delineate potential areas flooded and to determine the water depths within the inundated areas for each stage at streamgage 05331000. The availability of these maps along with information regarding current stage at the U.S. Geological Survey streamgage and forecasted stages from the National Weather Service provides enhanced flood warning and visualization of the potential effects of a forecasted flood for the city of Saint Paul and its residents. The maps also can aid in emergency management planning and response activities, such as evacuations and road closures, as well as for post-flood recovery efforts. proprietary
USGS_SOFIA_75_29_flows Baseline hydrologic data collection along the I-75 - State Road 29 corridor in the Big Cypress National Preserve CEOS_EXTRA STAC Catalog 2005-11-01 2009-09-30 -81.325, 25.75, -80.75, 26.25 https://cmr.earthdata.nasa.gov/search/concepts/C2231549536-CEOS_EXTRA.umm_json The objectives of this study are to develop and continue a program of surface water flow monitoring across I-75 and SR 29 in the I-75 corridor from Snake Road west to SR 29 and SR 29 from I-75 south to USGS site 02291000 Barron River near Everglades, Florida. Quarterly discharge measurements will be made along both reaches to assess hydrologic flow patterns and evaluate the feasibility of creating a stage-discharge/index-velocity relationship for this area. Data collected in this project will provide baseline information about a major current barrier to sheetflow, I-75. The data are expected to support the research on the existing linkages among geologic, hydrologic, chemical, climatological, and biological processes that currently shape the Everglades and will provide insight into the predrainage Everglades. The baseline flow will contribute to the Southwest Florida Feasibility Study addressing the health of upland and aquatic ecosystems in the 4,300 square mile area. proprietary
USGS_SOFIA_75_29_hydro_data Hydrologic Data Collected along I-75/SR29 corridor in Big Cypress National Preserve CEOS_EXTRA STAC Catalog 2005-11-01 2009-09-30 -81.325, 25.75, -80.75, 26.25 https://cmr.earthdata.nasa.gov/search/concepts/C2231549847-CEOS_EXTRA.umm_json The location of each site is shown on a Google Map. Data are available as a Google Map with links to Station Information and Data for each site. Data are available for 58 sites along I-75 and for 28 sites along State Road 29 in Big Cypress National Preserve. Data collected in this project will provide baseline information about a major current barrier to sheetflow, I-75. The data are expected to support the research on the existing linkages among geologic, hydrologic, chemical, climatological, and biological processes that currently shape the Everglades and will provide insight into the predrainage Everglades. The baseline flow will contribute to the Southwest Florida Feasibility Study addressing the health of upland and aquatic ecosystems in the 4,300 square mile area. proprietary
@@ -16069,8 +16071,8 @@ USGS_SOFIA_aerial-photos Aerial Photos of the 1940s CEOS_EXTRA STAC Catalog 1940
USGS_SOFIA_aerial-photos Aerial Photos of the 1940s ALL STAC Catalog 1940-02-14 1940-08-21 -81.9, 24.41, -79.98, 26.22 https://cmr.earthdata.nasa.gov/search/concepts/C2231554384-CEOS_EXTRA.umm_json The images are available as .jpeg and as georeferenced .tiff files. With the exception of three images, all images are subset to 7500 pixels square. Individual photos can be selected from the 1940 flight lines image at http://sofia.usgs.gov/exchange/aerial-photos/40s_flight.html The numbering scheme for the aerial photos is an identification number consisting of the flight number followed by the photo or frame number. A foundation for Everglades research must include a clear understanding of the pre-drainage south Florida landscape. Knowledge of the spatial organization and structure of pre-drainage landscape communities such as mangrove forests, marshes, sloughs, wet prairies. And pinelands, is essential to provide potential endpoints, restoration goals and performance measures to gauge restoration success. Information contained in historical aerial photographs of the Everglades can aid in this endeavor. The earliest known aerial photographs are from the mid-to-late 1920s and resulted in the production of what are called T-sheets (Topographic sheets) for the coasts and shorelines of far south Florida. The position of the boundary between differing vegetation communities (the ecotone) can be accurately measured. If followed through time, changes in the position of these ecotones could potentially be used to judge effects of drainage on the Everglades ecosystem and to monitor restoration success. The Florida Integrated Science Center (FISC), a center of the U.S. Geological Survey's (USGS) Biological Resources Discipline (BRD), in collaboration with the Eastern Region Geography (ERG) of the Geography Discipline has created digital files of existing 1940 (1:40,000-scale) Black and White aerial photography for the South Florida region. These digital files are available through the SOFIA web site at http://sofia.usgs.gov/exchange/aerial-photos/index.html proprietary
USGS_SOFIA_analysis_hist_wq Analysis of Historic Water Quality Data CEOS_EXTRA STAC Catalog 1960-01-01 2005-09-30 -81.55, 25.11, -80.125, 26.75 https://cmr.earthdata.nasa.gov/search/concepts/C2231553759-CEOS_EXTRA.umm_json "The Big Cypress National Preserve (BICY), the Everglades National Park (EVER), and Loxahatchee National Wildlife Refuge (LOX) are water-dominated ecosystems that are susceptible to water-quality impacts. A comprehensive analysis of historical water-quality and ancillary data is needed to direct the restoration of the Everglades and the adoption of water-quality standards in BICY, EVER, and LOX because of their designations as Outstanding Florida Waters. Big Cypress National Preserve (BICY), Everglades National Park (EVER)), and Loxahatchee National Wildlife Refuge (LOX) maintain separate networks of hydrologic monitoring stations (hydrostations) for measuring the stage and quality of surface water throughout their units. The data collected at these sites provides a historical baseline for assessing hydrologic conditions and making a wide range of management decisions (both internally and externally). Surface-water stage data is relatively straight-forward to analyze, both in real time and relative to historic conditions, and has typically been conducted by in-house hydrology staff at both units. Analysis of surface water-quality data is generally regarded as being more complex because of the subtleness of trends, absence of continuous data (bi-monthly for BICY and monthly for EVER), and dependence on surface water depth and season. Collection and analysis of water-quality samples at BICY, EVER, and LOX are done under cooperative agreements with the South Florida Water Management District (SFWMD). Under these agreements, the Park Service collects the samples in the field and the SFWMD provides sampling equipment and laboratory analyses. EVER has been sampling water quality on a monthly basis at 9 ""internal marsh"" stations since 1984 as part of this program. BICY has been sampling water quality on a monthly basis at 10 ""internal"" stations since 1995 as part of this agreement, with water quality data at these sites extending as far back to 1988 (but not as part of the agreement). Water-quality data collected at the BICY and EVER stations has been archived and reported for short-time intervals (yearly and bi-yearly), but an analysis that covers all sampled parameters, extends over the full period of record, and provides comparisons between the two parks has yet to be performed. Water-quality data have been collected at 14 internal marsh sites in LOX by the U.S. Fish and Wildlife Service for over 10 years. These samples have been analyzed by SFWMD laboratory. In 2000, a study was begun by the U.S. Geological Survey to gather, edit, and interpret selected water-quality data from a variety of sources to improve the understanding of changes in water-quality in areas impacted by human activities or in more remote and relatively unimpacted areas of the Everglades and Big Cypress Swamp. One purpose is to look for long-term trends and possibly relate the trends to human or natural influences on water quality such as agriculture, drought, hurricanes, changes in water management, etc. Another purpose is to interpret data from the most remote and unimpacted areas to discern, if possible, what the natural background concentrations are for water-quality constituents that have sufficient data. An attempt will be made to find correlations between available water-quality, physical, and meteorological parameters. Such analyses of water-quality and ancillary data may assist in establishing water-quality standards appropriate for the designation as Outstanding Florida Waters in both the Everglades National Park and the Big Cypress National Preserve. Ancillary data such as precipitation, water-level, water flow, dates of major storms, and beginning and ending dates of water-control effects will be studied to relate their timing to any noticeable changes in water quality. The initial study area was in BICY and EVER; the study area was extended into LOX in 2003." proprietary
USGS_SOFIA_asr_data_lake_okee Aquifer Storage and Recovery Data (Lake Okeechobee) CEOS_EXTRA STAC Catalog 1999-08-01 2000-05-31 -81.08, 26.35, -80.28, 27.2 https://cmr.earthdata.nasa.gov/search/concepts/C2231554472-CEOS_EXTRA.umm_json The objective of this project was to determine geochemically significant water-quality characteristics of possible aquifer storage and recovery (ASR) source and receiving waters north of Lake Okeechobee and at a site along the Hillsboro Canal. The data from this study will be combined with similar information on the detailed composition of aquifer materials in ASR receiving zones to develop geochemical models. Such models are needed to evaluate the possible chemical reactions that may change the physical properties of the aquifer matrix and/or the quality of injected water prior to recovery. proprietary
-USGS_SOFIA_atlss_prog Across Trophic Level System Simulation (ATLSS) Program ALL STAC Catalog 1996-01-01 -81.30333, 24.696152, -80.26212, 25.847113 https://cmr.earthdata.nasa.gov/search/concepts/C2231554119-CEOS_EXTRA.umm_json The ATLSS (Across Trophic Level System Simulation) program addresses CERP’s (Comprehensive Everglades Restoration Plan) need for quantitative projections of effects of scenarios on biota of the Greater Everglades and can provide guidance to monitoring in an adaptive assessment framework. It does this through creating a suite of models for selected Everglades biota, which can translate the hydrologic scenarios into effects on habitat and demographic variables of populations. ATLSS is constructed as a multimodel, meaning that it includes a collection of linked models for various physical and biotic systems components of the Greater Everglades. The ATLSS models are all linked through a common framework of vegetative, topographic, and land use maps that allow for the necessary interaction between spatially explicit information on physical processes and the dynamics of organism response across the landscape. Currently, two important new developments are taking place. First the ATLSS models will soon migrate to a Web-based availability, so that they can be run remotely for various hydrologic scenarios and a set of different assumptions. Second, a vegetation succession model is being completed, which will allow projection of changes in vegetation types across the Everglades landscape as a function of changing hydrology, fire frequency, and nutrient loading. An essential component of restoration planning in South Florida has been the development and use of computer simulation models for the major physical processes driving the system, notably models of hydrology incorporating effects of alternative human control systems and non controlled inputs such as rainfall. The USGS’s ATLSS (Across Trophic Level System Simulation) Program utilizes the outputs of such physical system models as inputs to a variety of ecological models that compare the relative impacts of alternative hydrologic scenarios on the biotic components of South Florida. The immediate objective of ATLSS is to provide a rational, scientific basis for ranking the water management scenarios as part of to the planning process for Everglades restoration. The longer term goals of ATLSS are to help achieve a better understanding of components of the Everglades ecosystem, to provide an integrative tool for empirical studies, and to provide a framework monitoring and adaptive management schemes. The ATLSS Program coordinates and integrates the work of modelers and empirical ecologists at many universities and research centers. The ongoing goals in the ATLSS Program have been to produce models capable of projecting and comparing the effects of alternative hydrologic scenarios on various trophic components of the Everglades. The methodology involves: 1) a landscape structure; 2) a high resolution topography to estimate high resolution water depth across the landscape; 3) models to calculate spatially explicit species indices (SESI) for breeding and foraging success measures across the landscape; 4) spatially explicit individual-based (SEIB) computer simulation models of selected species populations; and 5) ability to plug into variety of visualization and evaluation tools to aid model development, validation, and comparison to field data. Included in this are numerous sub-projects for different species, vegetation succession, analysis of alternative approaches to developing high resolution, models which deal with estuarine systems, methods to allow users from a variety of agencies to access and run the models, and methods to enhance the computational efficiency of the simulations. The continuing general objective is to provide a flexible, efficient collection of methods, utilizing the best current science, to evaluate the relative impacts of alternative hydrologic plans on the biotic systems of South Florida. This is done in a spatially-explicit manner which allows different stakeholders to evaluate the impacts based upon their own criteria for the locations and biotic systems under consideration. There are four projects under the ATLSS program: 1. ATLSS Model Use in CERP Evaluations, Model Testing and Extension to Web-Based Interface 2. Development of an Internet Based GIS to Visualize ATLSS Datasets for Resource Managers 3. Spatial Decision Support for Biodiversity and Indicator Species Responses to CERP Project Activities 4. Integrating Wading Bird Empirical Data into a Model of Wading Bird Foraging Success as a Function of Hydrologic Conditions There are several submodels within the ATLSS Project, including: Alligators, Cape Sable Seaside Sparrows, Crayfish, Deer, Fish, Florida Panthers, Hydrology, Snail Kite, Landscape/Vegetation, and Wading Birds. Models currently available are: ATLSS SESI models: Cape sable seaside sparrow breeding potential index (Version 1.1) Snail kite breeding potential index (Version 1.1) Long-legged wading bird foraging condition index (Version 1.1) Short-legged wading bird foraging condition index (Version 1.1) Empirically-based fish biomass index (Version 1.1) White-tailed deer breeding potential index (Version 1.1) American alligator breeding potential index (Version 1.1) Everglades and slough crayfish (Version 1.1) Apple snail SESI model (Version 1.1) Spatially Explicit Demographic Models: Cape sable seaside sparrow demographic model (SIMSPAR - Version 1.3) Snail kite demographic model (EVERKITE - Version 3.1) Alligator demographic model (Version 1.1) Spatially Explicit Functional Group Models: Freshwater fish dynamics (ALFISH - Version 3.1.17) GIS Animal Tracking Tool: Florida panther tracking tool (PANTRACK - Version 1.1) Landscape Models: High Resolution Topography (HRT - Version 1.4.8) Vegetation productivity (HTDAM - Version 1.1) High Resolution Hydrology (HRH - Version 1.4.8) proprietary
USGS_SOFIA_atlss_prog Across Trophic Level System Simulation (ATLSS) Program CEOS_EXTRA STAC Catalog 1996-01-01 -81.30333, 24.696152, -80.26212, 25.847113 https://cmr.earthdata.nasa.gov/search/concepts/C2231554119-CEOS_EXTRA.umm_json The ATLSS (Across Trophic Level System Simulation) program addresses CERP’s (Comprehensive Everglades Restoration Plan) need for quantitative projections of effects of scenarios on biota of the Greater Everglades and can provide guidance to monitoring in an adaptive assessment framework. It does this through creating a suite of models for selected Everglades biota, which can translate the hydrologic scenarios into effects on habitat and demographic variables of populations. ATLSS is constructed as a multimodel, meaning that it includes a collection of linked models for various physical and biotic systems components of the Greater Everglades. The ATLSS models are all linked through a common framework of vegetative, topographic, and land use maps that allow for the necessary interaction between spatially explicit information on physical processes and the dynamics of organism response across the landscape. Currently, two important new developments are taking place. First the ATLSS models will soon migrate to a Web-based availability, so that they can be run remotely for various hydrologic scenarios and a set of different assumptions. Second, a vegetation succession model is being completed, which will allow projection of changes in vegetation types across the Everglades landscape as a function of changing hydrology, fire frequency, and nutrient loading. An essential component of restoration planning in South Florida has been the development and use of computer simulation models for the major physical processes driving the system, notably models of hydrology incorporating effects of alternative human control systems and non controlled inputs such as rainfall. The USGS’s ATLSS (Across Trophic Level System Simulation) Program utilizes the outputs of such physical system models as inputs to a variety of ecological models that compare the relative impacts of alternative hydrologic scenarios on the biotic components of South Florida. The immediate objective of ATLSS is to provide a rational, scientific basis for ranking the water management scenarios as part of to the planning process for Everglades restoration. The longer term goals of ATLSS are to help achieve a better understanding of components of the Everglades ecosystem, to provide an integrative tool for empirical studies, and to provide a framework monitoring and adaptive management schemes. The ATLSS Program coordinates and integrates the work of modelers and empirical ecologists at many universities and research centers. The ongoing goals in the ATLSS Program have been to produce models capable of projecting and comparing the effects of alternative hydrologic scenarios on various trophic components of the Everglades. The methodology involves: 1) a landscape structure; 2) a high resolution topography to estimate high resolution water depth across the landscape; 3) models to calculate spatially explicit species indices (SESI) for breeding and foraging success measures across the landscape; 4) spatially explicit individual-based (SEIB) computer simulation models of selected species populations; and 5) ability to plug into variety of visualization and evaluation tools to aid model development, validation, and comparison to field data. Included in this are numerous sub-projects for different species, vegetation succession, analysis of alternative approaches to developing high resolution, models which deal with estuarine systems, methods to allow users from a variety of agencies to access and run the models, and methods to enhance the computational efficiency of the simulations. The continuing general objective is to provide a flexible, efficient collection of methods, utilizing the best current science, to evaluate the relative impacts of alternative hydrologic plans on the biotic systems of South Florida. This is done in a spatially-explicit manner which allows different stakeholders to evaluate the impacts based upon their own criteria for the locations and biotic systems under consideration. There are four projects under the ATLSS program: 1. ATLSS Model Use in CERP Evaluations, Model Testing and Extension to Web-Based Interface 2. Development of an Internet Based GIS to Visualize ATLSS Datasets for Resource Managers 3. Spatial Decision Support for Biodiversity and Indicator Species Responses to CERP Project Activities 4. Integrating Wading Bird Empirical Data into a Model of Wading Bird Foraging Success as a Function of Hydrologic Conditions There are several submodels within the ATLSS Project, including: Alligators, Cape Sable Seaside Sparrows, Crayfish, Deer, Fish, Florida Panthers, Hydrology, Snail Kite, Landscape/Vegetation, and Wading Birds. Models currently available are: ATLSS SESI models: Cape sable seaside sparrow breeding potential index (Version 1.1) Snail kite breeding potential index (Version 1.1) Long-legged wading bird foraging condition index (Version 1.1) Short-legged wading bird foraging condition index (Version 1.1) Empirically-based fish biomass index (Version 1.1) White-tailed deer breeding potential index (Version 1.1) American alligator breeding potential index (Version 1.1) Everglades and slough crayfish (Version 1.1) Apple snail SESI model (Version 1.1) Spatially Explicit Demographic Models: Cape sable seaside sparrow demographic model (SIMSPAR - Version 1.3) Snail kite demographic model (EVERKITE - Version 3.1) Alligator demographic model (Version 1.1) Spatially Explicit Functional Group Models: Freshwater fish dynamics (ALFISH - Version 3.1.17) GIS Animal Tracking Tool: Florida panther tracking tool (PANTRACK - Version 1.1) Landscape Models: High Resolution Topography (HRT - Version 1.4.8) Vegetation productivity (HTDAM - Version 1.1) High Resolution Hydrology (HRH - Version 1.4.8) proprietary
+USGS_SOFIA_atlss_prog Across Trophic Level System Simulation (ATLSS) Program ALL STAC Catalog 1996-01-01 -81.30333, 24.696152, -80.26212, 25.847113 https://cmr.earthdata.nasa.gov/search/concepts/C2231554119-CEOS_EXTRA.umm_json The ATLSS (Across Trophic Level System Simulation) program addresses CERP’s (Comprehensive Everglades Restoration Plan) need for quantitative projections of effects of scenarios on biota of the Greater Everglades and can provide guidance to monitoring in an adaptive assessment framework. It does this through creating a suite of models for selected Everglades biota, which can translate the hydrologic scenarios into effects on habitat and demographic variables of populations. ATLSS is constructed as a multimodel, meaning that it includes a collection of linked models for various physical and biotic systems components of the Greater Everglades. The ATLSS models are all linked through a common framework of vegetative, topographic, and land use maps that allow for the necessary interaction between spatially explicit information on physical processes and the dynamics of organism response across the landscape. Currently, two important new developments are taking place. First the ATLSS models will soon migrate to a Web-based availability, so that they can be run remotely for various hydrologic scenarios and a set of different assumptions. Second, a vegetation succession model is being completed, which will allow projection of changes in vegetation types across the Everglades landscape as a function of changing hydrology, fire frequency, and nutrient loading. An essential component of restoration planning in South Florida has been the development and use of computer simulation models for the major physical processes driving the system, notably models of hydrology incorporating effects of alternative human control systems and non controlled inputs such as rainfall. The USGS’s ATLSS (Across Trophic Level System Simulation) Program utilizes the outputs of such physical system models as inputs to a variety of ecological models that compare the relative impacts of alternative hydrologic scenarios on the biotic components of South Florida. The immediate objective of ATLSS is to provide a rational, scientific basis for ranking the water management scenarios as part of to the planning process for Everglades restoration. The longer term goals of ATLSS are to help achieve a better understanding of components of the Everglades ecosystem, to provide an integrative tool for empirical studies, and to provide a framework monitoring and adaptive management schemes. The ATLSS Program coordinates and integrates the work of modelers and empirical ecologists at many universities and research centers. The ongoing goals in the ATLSS Program have been to produce models capable of projecting and comparing the effects of alternative hydrologic scenarios on various trophic components of the Everglades. The methodology involves: 1) a landscape structure; 2) a high resolution topography to estimate high resolution water depth across the landscape; 3) models to calculate spatially explicit species indices (SESI) for breeding and foraging success measures across the landscape; 4) spatially explicit individual-based (SEIB) computer simulation models of selected species populations; and 5) ability to plug into variety of visualization and evaluation tools to aid model development, validation, and comparison to field data. Included in this are numerous sub-projects for different species, vegetation succession, analysis of alternative approaches to developing high resolution, models which deal with estuarine systems, methods to allow users from a variety of agencies to access and run the models, and methods to enhance the computational efficiency of the simulations. The continuing general objective is to provide a flexible, efficient collection of methods, utilizing the best current science, to evaluate the relative impacts of alternative hydrologic plans on the biotic systems of South Florida. This is done in a spatially-explicit manner which allows different stakeholders to evaluate the impacts based upon their own criteria for the locations and biotic systems under consideration. There are four projects under the ATLSS program: 1. ATLSS Model Use in CERP Evaluations, Model Testing and Extension to Web-Based Interface 2. Development of an Internet Based GIS to Visualize ATLSS Datasets for Resource Managers 3. Spatial Decision Support for Biodiversity and Indicator Species Responses to CERP Project Activities 4. Integrating Wading Bird Empirical Data into a Model of Wading Bird Foraging Success as a Function of Hydrologic Conditions There are several submodels within the ATLSS Project, including: Alligators, Cape Sable Seaside Sparrows, Crayfish, Deer, Fish, Florida Panthers, Hydrology, Snail Kite, Landscape/Vegetation, and Wading Birds. Models currently available are: ATLSS SESI models: Cape sable seaside sparrow breeding potential index (Version 1.1) Snail kite breeding potential index (Version 1.1) Long-legged wading bird foraging condition index (Version 1.1) Short-legged wading bird foraging condition index (Version 1.1) Empirically-based fish biomass index (Version 1.1) White-tailed deer breeding potential index (Version 1.1) American alligator breeding potential index (Version 1.1) Everglades and slough crayfish (Version 1.1) Apple snail SESI model (Version 1.1) Spatially Explicit Demographic Models: Cape sable seaside sparrow demographic model (SIMSPAR - Version 1.3) Snail kite demographic model (EVERKITE - Version 3.1) Alligator demographic model (Version 1.1) Spatially Explicit Functional Group Models: Freshwater fish dynamics (ALFISH - Version 3.1.17) GIS Animal Tracking Tool: Florida panther tracking tool (PANTRACK - Version 1.1) Landscape Models: High Resolution Topography (HRT - Version 1.4.8) Vegetation productivity (HTDAM - Version 1.1) High Resolution Hydrology (HRH - Version 1.4.8) proprietary
USGS_SOFIA_avian_ecology_spoonbills Avian Ecology of the Greater Everglades (Roseate Spoonbill and Limpkins) CEOS_EXTRA STAC Catalog 2002-10-01 2005-09-30 -81.25, 24.875, -80.375, 25.375 https://cmr.earthdata.nasa.gov/search/concepts/C2231549705-CEOS_EXTRA.umm_json "The primary objectives of our research are to (1) quantify the changes in spatial distribution and success of nesting spoonbills relative to hydrologic patterns, (2) test hypotheses about the causal mechanisms for observed changes, (3) establish a science-based criteria for nesting distribution and success to be used as a performance measure for hydrologic restoration, and (4) estimate demographic parameters. To meet these objectives, we will use a combined field/modeling approach. Based on previous and concurrent research, hypothesized relationships between hydrology, fish populations, and spoonbill nesting distribution and success will be expressed in a simple, but spatially explicit, conceptual model. Field data will be collected and compared with predicted responses to monitor changes in spoonbill nesting as hydrologic restoration is implemented, and to test the hypothesized mechanisms for observed changes. Variation of hydrologic conditions among years and locations is a virtual certainty; thus we will treat this variation in a quasi-experimental framework where the variation in wet and dry season conditions constitutes a series of ""natural experiments"". Our project is designed to evaluate the effect of hydrologic restoration on the nesting distribution and success of Roseate Spoonbills (Ajaia ajaia) in Florida Bay and surrounding mangrove estuarine habitats. This project is further designed to test hypotheses about the causal mechanisms of observed changes. The Everglades ecosystem has suffered extensive degradation over the past century, including an 85-90% decrease in the numbers of wading birds. Previous monitoring of Roseate Spoonbills in Florida Bay over the past 50 years has shown that this species responds markedly to changes in hydrology and corresponding changes in prey abundance and availability. Shifts in nesting distribution and declines in nest success have been attributed to declines in prey populations as a direct result of water management. Consequently, the re-establishment of spoonbill colonies in northeast Florida Bay is one change predicted under a conceptual model of the mangrove estuarine transition zone of Florida Bay. Changes in nesting distribution and success will further be used as a performance measure for success of restoration efforts and will be incorporated in a model linking mangrove fish populations and spoonbills to alternative hydrologic scenarios." proprietary
USGS_SOFIA_ba_geologic_data Biscayne Aquifer geologic data CEOS_EXTRA STAC Catalog 1998-01-01 2005-12-31 -80.6, 25.5, -80.3, 26 https://cmr.earthdata.nasa.gov/search/concepts/C2231550961-CEOS_EXTRA.umm_json This report from which the data is taken identifies and characterizes candidate ground-water flow zones in the upper part of the shallow, eogenetic karst limestone of the Biscayne aquifer using GPR, cyclostratigraphy, borehole geophysical logs, continuously drilled cores, and paleontology. About 60 mi of GPR profiles were acquired and are used to calculate the depth to shallow geologic contacts and hydrogeologic units, image karst features, and produce a qualitative perspective of the porosity distribution within the upper part of the karstic Biscayne aquifer in the Lake Belt area of north-central Miami-Dade County. . Descriptions of lithology, rock fabric, cyclostratigraphy, and depositional environments of 50 test coreholes were linked to geophysical data to provide a more refined hydrogeologic framework for the upper part of the Biscayne aquifer. Interpretation of depositional environments was constrained by analysis of depositional textures and molluscan and benthic foraminiferal paleontology. Digital borehole images were used to help quantify large-scale vuggy porosity. Preliminary heat-pulse flowmeter data were coupled with the digital borehole image data to identify potential ground-water flow zones. The objectives of this cooperative project were to identify and characterize candidate ground-water flow zones in the upper part of the shallow, eogenetic karst limestone of the Biscayne aquifer using ground-penetrating radar, cyclostratigraphy, borehole geophysical logs, continuously drilled cores and paleontology. In 1998, the U.S. Geological Survey (USGS), in cooperation with the South Florida Water Management District (SFWMD), initiated a study to provide a regional-scale hydrogeologic framework of a shallow semiconfining unit within the Biscayne aquifer of southeastern Florida. Initially, the primary objective was to characterize and delineate a low-permeability zone in the upper part of the Biscayne aquifer that spans the base of the Miami Limestone and uppermost part of the Fort Thompson Formation. Delineation of this zone was to aid development of a conceptual hydrogeologic model to be used as input into the SFWMD Lake Belt ground-water model. The approximate area encompassed by the conceptual hydrogeologic model is shown as the study area at http://sofia.usgs.gov/exchange/cunningham/bbwelllocation.html. Subsequent analysis of the preliminary data suggested hydraulic compartmentalization occurred within the Biscayne aquifer, and that there was a need to characterize and delineate ground-water flow zones and relatively low-permeability zones within the upper part of the Biscayne aquifer. Consequently, preliminary results suggested that the historical understanding of the porosity and preferential pathways for Biscayne aquifer ground-water flow required considerable revision. This project was carried out in cooperation with the South Florida Water Management District (SFWMD). proprietary
USGS_SOFIA_bbcw_geophysical Biscayne Bay Coastal Wetlands Geophysical Data CEOS_EXTRA STAC Catalog 2004-01-01 -80.4, 25.4, -80.3, 25.61 https://cmr.earthdata.nasa.gov/search/concepts/C2231549059-CEOS_EXTRA.umm_json The objectives of this data acquisition project were to complete the downhole geophysical logging including video and flowmeter logging of two core holes (9A and 11A), which are the deepest wells at monitor well sites 0009AB and 0011AB. The goal of the Comprehensive Everglades Restoration Plan Biscayne Bay Coastal Wetlands Project (BBCWP) is to rehydrate wetlands and reduce point-source discharge to Biscayne Bay. The BBCWP will replace lost overland flow and partially compensate for the reduction in ground-water seepage by redistributing, through a spreader system, available surface water entering the area from regional canals. The proposed redistribution of freshwater flow across a broad front is expected to restore or enhance freshwater wetlands, tidal wetlands, and near shore bay habitat. A critical component of the BBCWP is the development of a realistic representation of ground-water flow within the karst Biscayne aquifer. Mapping these ground-water flow units is key to the development of models that simulate ground-water flow from the Everglades and urban areas through the coastal wetlands to Biscayne Bay. Because there is little detailed hydrogeologic data of the Surficial aquifer (to depth) in this area, the Biscayne Bay Coastal Wetlands Project Delivery Team installed two monitor-well sites and collected the necessary detailed hydrogeologic data. The L-31 North Canal Seepage Management Pilot Project is intended to curtail easterly seepage emanating from within Everglades National Park (ENP). The pilot project is examining various seepage management technologies as well as operational changes that could be implemented to reduce the water losses from ENP. This project is in close proximity to Biscayne Bay so an effort has been made to combine ongoing work efforts at the two project areas. The distribution of seepage into the L-31 North Canal and beneath it is not known with any degree of certainty today. A canal draw down experiment was conducted to provide additional field data that will be utilized to refine seepage estimates in the study area as well as determine aquifer parameters in the study area. This project was funded by the USGS Florida Integrated Science Center and the South Florida Water Management District (SFWMD). proprietary
@@ -16098,8 +16100,8 @@ USGS_SOFIA_dawmet Ecosystem History: Terrestrial and Fresh-Water Ecosystems of s
USGS_SOFIA_discharge_tamiami_canal Discharge Data (Tamiami Canal) CEOS_EXTRA STAC Catalog 1986-01-01 2001-12-31 -81.5, 25.75, -80.5, 26 https://cmr.earthdata.nasa.gov/search/concepts/C2231553115-CEOS_EXTRA.umm_json The data are from the following four stations: Station 02288800 - Tamiami Canal Outlets, Monroe to Carnestown; Station 02288900 - Tamiami Canal Outlets, 40-Mile Bend to Monroe, near Miami, FL; Station 02289040 - Tamiami Canal Outlets, Levee 67A to 40-Mile Bend, near Miami, FL; Station 02289060 - Tamiami Canal Outlets, Levee 30 to Levee 67A, near Miami, FL. The data were compiled from records from 1986 to 1999 in the USGS Ft. Lauderdale, FL office of the Water Resources Discipline in 2000. Each station has numerous individual flow measurements at gages that were used in the calculation of the mean flow for each station. The data were collected by USGS personnel and the gages are maintained and operated by USGS Ft. Lauderdale office personnel. Canals are a major water-delivery component of the south Florida ecosystem. They interact with surrounding flow systems and waterbodies, either directly through structure discharges and levee overflows or indirectly through levee seepage and leakage, and thereby quantitatively affect wetland hydroperiods as well as estuarine salinities. Knowledge of this flow interaction, as well as timing, extent, and duration of inundation that it contributes to, is needed to identify and eliminate any potential adverse effects of altered flow conditions and transported constituents on vegetation and biota. Comprehensive analytical tools and methods are needed to assess the effects of nutrient and contaminant loads from agricultural and urban run-off entering canals and thereby conveyed into connected wetlands and other adjoining coastal ecosystems. These data from the individual gages were transferred to electronic form to provide a better understanding of the distribution of flow from north to south under the Tamiami Trail to aid in decisions about future changes to flow along the Trail. proprietary
USGS_SOFIA_dk_merc_cycl_bio Mercury Cycling and Bioaccumulation CEOS_EXTRA STAC Catalog 2000-10-01 2006-12-31 -81.33137, 24.67165, -80.22201, 25.890877 https://cmr.earthdata.nasa.gov/search/concepts/C2231550667-CEOS_EXTRA.umm_json This proposal identifies work elements that are logical extensions, and which build off, our previous work. Our overall scientific objective is to provide a complete understanding of the external factors (such as atmospheric mercury and sulfate runoff loads) and internal factors (such as hydroperiod maintenance and water chemistry) that result in the formation and bioaccumulation of MeHg in south Florida ecosystems, and to conduct this research is such a way that it will be directly useable by land and water resource managers. More specifically, we will seek to achieve the following subobjectives (1) Extend our mesocosms studies to provide a more omprehensive examination of the newly discovered 'new versus old' mercury effect by conducting studies under differing hydrologic conditions and sub-ecosystem settings so that our experimental results will be more generally applicable to the greater south Florida ecosystem including the STAs that have been recently constructed and are yielding very high levels of methylmercury but the cause is currently unknown; (2) Seek to further identify the mechanisms that result in extremely high levels of MeHg after natural drying and rewetting cycles in the Everglades and which have major implications for the Restoration Plan; (3) Further our studies on the production of methylmercury in south Florida estuaries and tidal marshes by conducting mass-balance studies of tidal marshes; (4) Begin to partner with wildlife toxicologists funded by the State of Florida to unravel the complexities surrounding methylmercury exposure and effects to higher order wildlife in south Florida; and , (5) Continue to participate with mercury ecosystem modelers who are funded by the State of Florida and the USEPA to evaluate the overall ecological effects of reducing mercury emissions and the risks associated with methylmercury exposure. Although ecological impacts from phosphorous contamination have become synonymous with water quality in south Florida, especially for Everglades restoration, there are several other contaminants presently entering the Everglades that may be of equal or greater impact, including: pesticides, herbicides, polycyclic aromatic hydrocarbons, and trace metals. This project focuses on mercury, a sparingly soluble trace metal that is principally derived from atmospheric sources and affects the entire south Florida ecosystem. Mercury interacts with another south Florida contaminant, sulfur, that is derived from agricultural runoff, and results in a problem with potentially serious toxicological impacts for all the aquatic food webs (marine and freshwater) in the south Florida ecosystem. The scientific focus of this project is to examine the complex interactions of these contaminants (synergistic and antagonistic), ecosystem responses to variations in contaminant loading (time and space dimensions), and how imminent ecosystem restoration steps may affect existing contaminant pools. The Everglades restoration program is prescribing ecosystem-wide changes to some of the physical, hydrological and chemical components of this ecosystem. However, it remains uncertain what overall effects will occur as these components react to the perturbations (especially the biological and chemical components) and toward what type of 'new ecosystem' the Everglades will evolve. The approaches used by this study have been purposefully chosen to yield results that should be directly useable by land management and restoration decision makers. Presently, we are addressing several major questions surrounding the mercury research field, and the Everglades Restoration program: (l) What, if any, ecological benefit to the Everglades would be realized if mercury emissions reductions would be enacted, and over what time scales (years or tens of years) would improvements be realized? (2) What is the role of old mercury (previously deposited and residing in soils and sediment) versus new mercury (recent deposition) in fueling the mercury problem? (3) In the present condition, is controlling sulfur or mercury inputs more important for reducing the mercury problem in the Everglades? (4) Does sulfur loading have any additional ecological impacts that have not been realized previously (e.g., toxicity to plant and animals) that may be contributing to an overall decreased ecological health? (5) Commercial fisheries in the Florida Bay are contaminated with mercury, is this mercury derived from Everglades runoff or atmospheric runoff? (6) What is the precise role of carbon (the third member of the 'methylmercury axis of evil', along with sulfur and mercury), and do we have to be concerned with high levels of natural carbon mobilization from agricultural runoff as well? (7) Hundreds of millions of dollars are being, or have been spent, on STA construction to reduce phosphorus loading to the Everglades, however, recently constructed STAs have yielded the highest known concentration of toxic methylmercury; can STA operations be altered to reduce methylmercury production and maintain a high level of phosphorus retention over extended periods of time? The centerpiece of our research continues to be the use of environmental chambers (enclosures or mesocosms), inside which we conduct dosing experiments using sulfate, dissolved organic carbon and mercury isotopic tracers. The goal of the mesocosm experiments is to quantify the in situ ecological response to our chemical dosing, and to also determine the ecosystem recovery time to the doses. proprietary
USGS_SOFIA_eco_assess_risk_toxics Ecological Risk Assessment of Toxic Substances in the Greater Everglades Ecosystem: Wildlife Effects and Exposure Assessment CEOS_EXTRA STAC Catalog 2000-10-01 2004-09-30 -81.125, 25.125, -80.125, 26.75 https://cmr.earthdata.nasa.gov/search/concepts/C2231551985-CEOS_EXTRA.umm_json This project will be carried out in several locations throughout those areas critical to the South Florida Restoration Initiative. These areas include: 1) Water Conservation Areas 1, 2, and 3 of the Central Everglades, 2) Everglades National Park, 3) Loxahatchee National Wildlife Refuge, 4) Big Cypress National Preserve, 5) multiple Miami Metropolitan area canals and drainages, and 6) restoration related STAs (STAs 1-6) adjacent to the Everglades. Specific site selections will be based upon consideration of USACE restoration plans and upon discussions with other place-based and CESI approved projects. The overall objectives are characterize the exposure of wildlife to contaminants within the aquatic ecosystems of South Florida, through a multi-stage process: a) screening of biota to identify hazards/contaminants posing risk, and b) evaluation of the potential effects of those contaminants on appropriate animal/wildlife receptors. This project will focus upon each of these stages/needs, with an emphasis on understanding the effects of contaminants on alligators, fishes, birds, amphibians and macroinvertebrates. Historically, little consideration has been given to environmental chemical stressors/contaminants within the ecosystem restoration efforts for the Greater Everglades Ecosystem. The restoration is primarily guided by determining and restoring the historical relationships between ecosystem function and hydrology. The restoration plan was formulated to restore the natural hydrology and therefore, the resultant landscape patterns, bio-diversity and wildlife abundance. However, additional efforts need to consider the role that chemical contaminants such as pesticides and other inorganic/organic contaminants play in the structure and function of the resultant South Florida ecosystems. Indeed, the current level of agriculture and expanding urbanization and development necessitate that more emphasis be placed on chemical contaminants within this sensitive ecosystem and the current restoration efforts. The primary goal of the proposed project, therefore, is to develop an improved understanding of the exposure/fate (i.e. degradation, metabolism, dissipation, accumulation and transport) and potential ecological effects produced as a result of chemical stressors and their interactions in South Florida freshwater and wetland ecosystems. The overall objectives are to evaluate the risk posed by contaminants to biota within the aquatic ecosystems of South Florida, through a multi-stage process: a) screening of biota to identify hazards/contaminants posing risk and b) evaluation of the potential effects of those contaminants on appropriate animal/wildlife receptors. This project will focus upon each of these stages/needs, with an emphasis on understanding the effects of contaminants on alligators, fishes, birds, amphibians and macroinvertebrates. The specific objectives of this project are to: 1. Assess current exposure and potential adverse effects for appropriate receptors/species within the South Florida ecosystems with some emphasis on DOI trust species. These efforts will determine whether natural populations are significantly exposed to a variety of chemical stressors/contaminants, such as mercury, chlorinated hydrocarbon pesticides, historic and/or current use agricultural chemicals, and/or mixtures, as well as document lethal and non-lethal adverse effects in multiple health, physiologic and/or endocrine endpoints. 2. Assess exposure and potential adverse effects for appropriate species within South Florida as a function of restoration implementation. proprietary
-USGS_SOFIA_eco_hist_db1995-2007_version 7 1995 - 2007 Ecosystem History of South Florida's Estuaries Database version 7 CEOS_EXTRA STAC Catalog 1994-09-27 2007-04-03 -81.83, 24.75, -80, 26.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231554288-CEOS_EXTRA.umm_json The 1995 - 2007 Ecosystem History of South Florida's Estuaries Database contains listings of all sites (modern and core), modern monitoring site survey information (water chemistry, floral and faunal data, etc.), and published core data. Two general types of data are contained within this database: 1) Modern Field Data and 2) Core data - primarily faunal assemblages. Data are available for modern sites and cores in the general areas of Florida Bay, Biscayne Bay, and the southwest (Florida) coastal mangrove estuaries. Specific sites in the Florida Bay area include Taylor Creek, Bob Allen Key, Russell Bank, Pass Key, Whipray Basin, Rankin Bight, park Key, and Mud Creek core). Specific Biscayne Bay sites include Manatee Bay, Featherbed Bank, Card bank, No Name Bank, Middle Key, Black Point North, and Chicken Key. Sites on the southwest coast include Alligator Bay, Big Lostmans Bay, Broad River Bay, Roberts River mouth, Tarpon Bay, Lostmans River First and Second Bays, Harney River, Shark River near entrance to Ponce de Leon Bay, and Shark River channels. Modern field data contains (1) general information about the site, description, latitude and longitude, date of data collection, (2) water chemistry information, and (3) descriptive text of fauna and flora observed at the site. Core data contain either percent abundance data or actual counts of the distribution of mollusks, ostracodes, forams, and pollen within the cores collected in the estuaries. For some cores dinocyst or diatom data may be available. proprietary
USGS_SOFIA_eco_hist_db1995-2007_version 7 1995 - 2007 Ecosystem History of South Florida's Estuaries Database version 7 ALL STAC Catalog 1994-09-27 2007-04-03 -81.83, 24.75, -80, 26.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231554288-CEOS_EXTRA.umm_json The 1995 - 2007 Ecosystem History of South Florida's Estuaries Database contains listings of all sites (modern and core), modern monitoring site survey information (water chemistry, floral and faunal data, etc.), and published core data. Two general types of data are contained within this database: 1) Modern Field Data and 2) Core data - primarily faunal assemblages. Data are available for modern sites and cores in the general areas of Florida Bay, Biscayne Bay, and the southwest (Florida) coastal mangrove estuaries. Specific sites in the Florida Bay area include Taylor Creek, Bob Allen Key, Russell Bank, Pass Key, Whipray Basin, Rankin Bight, park Key, and Mud Creek core). Specific Biscayne Bay sites include Manatee Bay, Featherbed Bank, Card bank, No Name Bank, Middle Key, Black Point North, and Chicken Key. Sites on the southwest coast include Alligator Bay, Big Lostmans Bay, Broad River Bay, Roberts River mouth, Tarpon Bay, Lostmans River First and Second Bays, Harney River, Shark River near entrance to Ponce de Leon Bay, and Shark River channels. Modern field data contains (1) general information about the site, description, latitude and longitude, date of data collection, (2) water chemistry information, and (3) descriptive text of fauna and flora observed at the site. Core data contain either percent abundance data or actual counts of the distribution of mollusks, ostracodes, forams, and pollen within the cores collected in the estuaries. For some cores dinocyst or diatom data may be available. proprietary
+USGS_SOFIA_eco_hist_db1995-2007_version 7 1995 - 2007 Ecosystem History of South Florida's Estuaries Database version 7 CEOS_EXTRA STAC Catalog 1994-09-27 2007-04-03 -81.83, 24.75, -80, 26.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231554288-CEOS_EXTRA.umm_json The 1995 - 2007 Ecosystem History of South Florida's Estuaries Database contains listings of all sites (modern and core), modern monitoring site survey information (water chemistry, floral and faunal data, etc.), and published core data. Two general types of data are contained within this database: 1) Modern Field Data and 2) Core data - primarily faunal assemblages. Data are available for modern sites and cores in the general areas of Florida Bay, Biscayne Bay, and the southwest (Florida) coastal mangrove estuaries. Specific sites in the Florida Bay area include Taylor Creek, Bob Allen Key, Russell Bank, Pass Key, Whipray Basin, Rankin Bight, park Key, and Mud Creek core). Specific Biscayne Bay sites include Manatee Bay, Featherbed Bank, Card bank, No Name Bank, Middle Key, Black Point North, and Chicken Key. Sites on the southwest coast include Alligator Bay, Big Lostmans Bay, Broad River Bay, Roberts River mouth, Tarpon Bay, Lostmans River First and Second Bays, Harney River, Shark River near entrance to Ponce de Leon Bay, and Shark River channels. Modern field data contains (1) general information about the site, description, latitude and longitude, date of data collection, (2) water chemistry information, and (3) descriptive text of fauna and flora observed at the site. Core data contain either percent abundance data or actual counts of the distribution of mollusks, ostracodes, forams, and pollen within the cores collected in the estuaries. For some cores dinocyst or diatom data may be available. proprietary
USGS_SOFIA_eco_hist_db_version 3 Ecosystem History of South Florida Estuaries Data CEOS_EXTRA STAC Catalog 1994-02-24 2008-03-20 -81.83, 24.75, -80, 26.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231552167-CEOS_EXTRA.umm_json The Ecosystem History Access Database contains listings of all sites (modern and core), modern monitoring site survey information, and published core data. Two general types of data are contained within this database: 1) Modern Field Data and 2) Core data - primarily faunal assemblages. Scientists over the past few decades have noticed that the South Florida ecosystem has become increasingly stressed. The purposes of the ecosystem history projects (started in 1995) are to determine what south Florida's estuaries have looked like over time, how they have changed, and what is the rate and frequency of change. To accomplish this, shallow sediment cores are collected within the bays, and the faunal and floral remains, sediment geochemistry, and shell biochemistry are analyzed. Modern field data are collected from the same region as the cores and serve as proxies to allow accurate interpretation of past depositional environments. The USGS South Florida Ecosystem History Project is designed to integrate studies from a number of researchers compiling data from terrestrial, marine, and freshwater ecosystems within south Florida. The project is divided into 3 regions: Biscayne Bay and the Southeast coast, Florida Bay and the Southwest coast, and Terrestrial and Freshwater Ecosystems of Southern Florida. The purpose of the projects is to provide information about the ecosystem's recent history based on analyses of paleontology, geochemistry, hydrology, and sedimentology of cores taken from the south Florida region. Data generated from the South Florida Ecosystem History project will be integrated to provide biotic reconstructions for the area at selected time slices and will be useful in testing ecological models designed to predict floral and faunal response to changes in environmental parameters. Biscayne Bay is of interest to scientists because of the rapid urbanization that has occurred in the Miami area and includes Biscayne National Park. Dredging, propeller scars, and changes in freshwater input have altered parts of Biscayne Bay. Currently, the main freshwater input to Biscayne Bay is through the canal system, but many scientists believe subsurface springs used to introduce fresh groundwater into the Bay ecosystem. Study of the modern environment and core sediments from Biscayne Bay will provide important information on past salinity and seagrass coverage which will be useful for predicting future change within the Bay. Plant and animal communities in the South Florida ecosystem have undergone striking changes over the past few decades. In particular, Florida Bay has been plagued by seagrass die-offs, algal blooms, and declining sponge and shellfish populations. These alterations in the ecosystem have traditionally been attributed to human activities and development in the region. Scientists at the U.S. Geological Survey (USGS) are studying the paleoecological changes taking place in Florida Bay in hopes of understanding the physical environment to aid in the restoration process. As in Biscayne Bay, scientists must first determine which changes are part of the natural variation in Florida Bay and which resulted from human activities. To answer this question, scientists are studying both modern samples and piston cores that reveal changes over the past 150-600 years. These two types of data complement each other by providing information about the current state of the Bay, changes that occurred over time, and patterns of change. Terrestrial ecosystems of South Florida have undergone numerous human disturbances, ranging from alteration of the hydroperiod, fire history, and drainage patterns through implementation of the canal system to expansion of the agricultural activity to the introduction of exotic species such as Melalueca, Australian pine, and the Pepper Tree. Over historical time, dramatic changes in the ecosystem have been documented and these changes attributed to various human activities. However, cause-and-effect relationships between specific biotic and environmental changes have not been established scientifically. One part of the South Florida Ecosystem History group of project is designed to document changes in the terrestrial ecosystem quantitatively, to date any changes and determine whether they resulted from documented human activities, and to establish the baseline level of variability in the South Florida ecosystem to estimate whether the observed changes are greater than what would occur naturally. Specific goals of this part of the project are to 1) document the patterns of floral and faunal changes at sites throughout southern Florida over the last 150 years, 2) determine whether the changes occurred throughout the region or whether they were localized, 3) examine the floral and faunal history of the region over the last few millennia, 4) determine the baseline level of variability in the communities prior to significant human activity in the region, and 5) determine whether the fire frequency, extent, and influence can be quantified, and if so, document the fire history for sites in the region. proprietary
USGS_SOFIA_eco_hist_swcoast_srs_04 Ecosystem History of the Southwest Coast-Shark River Slough Outflow Area CEOS_EXTRA STAC Catalog 2003-10-01 2008-09-30 -81.75, 25, -80.83, 26 https://cmr.earthdata.nasa.gov/search/concepts/C2231554376-CEOS_EXTRA.umm_json The objectives of this project are to document impacts of changes in salinity, water quality, coastal plant and animal communities and other critical ecosystem parameters on a subdecadal-centennial scale in the southwest coastal region (from Whitewater Bay, north to the 10,000 Islands), and to correlate these changes with natural events and resource management practices. Emphasis will be placed on 1) determining the amount, timing and sources of freshwater influx (groundwater vs. runoff) into the coastal ecosystem prior to and since significant anthropogenic alteration of flow; and 2) determining whether the rate of mangrove and brackish marsh migration inland has increased since 20th century water diversion and what role sealevel rise might play in the migration. First, the environmental preferences and distributions of modern fauna and flora are established through analyses of modern samples in south Florida estuaries and coastal systems. Much of these data have already been obtained through project work conducted in Florida Bay and the terrestrial Everglades starting in 1995. These modern data are used as proxies for interpreting the historical data from Pb-210 and C-14 dated sediment cores based on assemblage analysis. On the basis of USGS data obtained from cores in Florida Bay and Biscayne Bay, the temporal span of the cores should be at a minimum the last 150 years; this is in agreement with University of Miami data showing sedimentation rates in Whitewater Bay to be approximately 1cm/year. For the estuarine/coastal ecosystems, a multidisciplinary, multiproxy approach will be utilized on cores from a transect from Whitewater Bay north to 10,000 Islands. Biochemical analyses of shells and chemical analyses of sediments will be used to refine data on salinity and nutrient supply, and isotopic analyses of shells will determine sources of water influx into the system. Nutrient analyses will be conducted to determine historical patterns of nutrient influx. To examine the inland migration of the mangrove/coastal marsh ecotone, transects from the mouth of the Shark and Harney Rivers inland into Shark River slough will be taken. These cores will be evaluated for floral remains, nutrients, charcoal, and if present, faunal remains. This project will provide 1) baseline data for restoration managers and hydrologic modelers on the amount and sources of freshwater influx into the southwest coastal zone and the quality of the water, 2) the relative position of the coastal marsh-mangrove ecotone at different periods in the past, and 3) data to test probabilities of system response to restoration changes. One of the primary goals of the Central Everglades Restoration Plan (CERP) is to restore the natural flow of water through the terrestrial Everglades and into the coastal zones. Historically, Shark River Slough, which flows through the central portion of the Everglades southwestward, was the primary flow path through the Everglades Ecosystem. However, this flow has been dramatically reduced over the last century as construction of canals, water conservation areas and the Tamiami Trail either retained or diverted flow from Shark River Slough. The reduction in flow and changes in water quality through Shark River have had a profound effect on the freshwater marshes and the associated coastal ecosystems. Additionally, the flow reduction may have shifted the balance of fresh to salt-water inflow along coastal zones, resulting in an acceleration of the rate of inland migration of mangroves into the freshwater marshes. For successful restoration to occur, it is critical to understand how CERP and the natural patterns of freshwater flow, precipitation, and sea level rise will affect the future maintenance of the mangrove-freshwater marsh ecotone and the coastal environment. proprietary
USGS_SOFIA_eden_dem_cm_nov07_nc Everglades Depth Estimation Network (EDEN) November 2007 Digital Elevation Model for use with EDENapps CEOS_EXTRA STAC Catalog 1995-01-01 2007-12-31 -81.36353, 25.229605, -80.22176, 26.683613 https://cmr.earthdata.nasa.gov/search/concepts/C2231551925-CEOS_EXTRA.umm_json This is the 1st release of the third version of an Everglades Depth Estimation Network (EDEN) digital elevation model (DEM) generated from certified airborne height finder (AHF) and airboat collected ground surface elevations for the Greater Everglades Region. This version includes all data collected and certified by the USGS prior to the conclusion of the AHF collection process. It differs from the previous elevation model (EDEN_EM_JAN07) in that the modeled area of WCA3N (all the WCA3A area north of I-75) is increased while the modeled area of the Big Cypress National Preserve (BNCP) has been both refined and reduced to the region where standard error of cross-validation points falls below 0.16 meters. EDEN offers a consistent and documented dataset that can be used to guide large-scale field operations, to integrate hydrologic and ecological responses, and to support biological and ecological assessments that measure ecosystem responses to Comprehensive Everglades Restoration Plan. To produce historic and near-real time maps of water depths, the EDEN requires a system-wide DEM of the ground surface. This file is a modification of the eden dem released in October of 2007 (i.e., eden_em_oct07) in which the elevation values have been converted from meters (m) to centimeters(cm) for use by EDEN applications software. This file is intended specifically for use in the EDEN applications software. Aside from this difference in horizontal units, the following documentation applies. These data were specifically created for the development of water depth information using interpolated water surfaces from the EDEN stage data network. proprietary
@@ -16175,8 +16177,8 @@ USGS_SOFIA_integrating_manatee Effects of hydrological restoration on manatees:
USGS_SOFIA_karst_model Linking a conceptual karst hydrogeologic model of the Biscayne aquifer to ground-water flow simulations from Everglades National Park to Biscayne National Park - Phase 1 CEOS_EXTRA STAC Catalog 2005-01-01 2009-12-31 -81.5, 25, -80, 26 https://cmr.earthdata.nasa.gov/search/concepts/C2231550454-CEOS_EXTRA.umm_json This project in being undertaken to develop a high-resolution 3-dimensional karst hydrogeologic framework of the Biscayne aquifer between Everglades National Park (ENP) and Biscayne National Park (BNP) using test coreholes, borehole geophysical logging, cyclostratigraphy, hydrostratigraphy, and hydrologic modeling. The development of an expanded conceptual karst hydrogeologic framework in this project will be used to assist development of procedures for numeric simulations to improve the monitoring and assessment of the response of the ground-water system to hydrologic changes caused by CERP-related changes in stage within the Everglades wetlands, including seepage-management pilot project implementation. Specifically, the development of procedures for ground-water modeling of the karst Biscayne aquifer in the area of Northern Shark Slough will help determine the appropriate hydrologic response to rainfall and translate that information into appropriate performance targets for input into the design and operating rules to manage water levels and flow volumes for the two Seepage Management Areas. Mapping of the karstic stratiform ground-water flow passageways in the Biscayne aquifer is recent and limited to a small area of Miami-Dade County adjacent to the Everglades wetlands. Extension of this karst framework between the Everglades wetlands and coastal Biscayne Bay will aid in the simulation of coupled ground-water and surface-water flows to Biscayne Bay. The development of procedures for modeling in the karst Biscayne aquifer will useful to the establishment of minimum flows and levels to the Biscayne Bay and seasonal flow patterns. Also, these improved procedures for simulations will assist in ecologic modeling efforts of Biscayne Bay coastal estuaries. Research is needed to determine how planned Comprehensive Everglades Restoration Plan (CERP) seepage control actions within the triple-porosity karstic Biscayne aquifer in the general area of Northeast Shark Slough will affect ground-water flows and recharge between the Everglades wetlands and Biscayne Bay. A fundamental problem in the simulation of karst ground-water flow and solute transport is how best to represent aquifer heterogeneity as defined by the spatial distribution of porosity, permeability, and storage. The triple porosity of the Biscayne aquifer is principally: (1) matrix of interparticle and separate-vug porosity, providing much of the storage and, under dynamic conditions, diffuse-carbonate flow; (2) touching-vug porosity creating stratiform ground-water flow passageways; and (3) less common conduit porosity composed mainly of bedding plane vugs, thin solution pipes, and cavernous vugs. The objectives of this project are to: (1) build on the Lake Belt area hydrogeologic framework (recently completed by the principal investigator), mainly using cyclostratigraphy and digital optical borehole images to map porosity types and develop the triple-porosity karst framework between the Everglades wetlands and Biscayne Bay; and (2) develop procedures for numerical simulation of ground-water flow within the Biscayne aquifer multi-porosity system. proprietary
USGS_SOFIA_kendall_stable_isotopes Application of Stable Isotope Techniques to Identifying Foodweb Structure, Contaminant Sources, and Biogeochemical Reactions in the Everglades CEOS_EXTRA STAC Catalog 1995-03-01 1999-10-31 -81.0202, 25.2475, -80.3069, 26.6712 https://cmr.earthdata.nasa.gov/search/concepts/C2231553952-CEOS_EXTRA.umm_json "This is the largest isotope foodweb study ever attempted in a marsh ecosystem, and combines detailed, long-term, trophic and biogeochemical studies at selected well-monitored USGS/SFWMD/FGFFC sites with limited synoptic foodweb data from over 300 sites sampled during 1996 and 1999 by a collaboration with the EPA-REMAP program. The preliminary synthesis of the biota isotopes at USGS and 1996 REMAP sites provides a mechanism for extrapolating the detailed foodwebs developed at the intensive USGS sites to the entire marsh system sampled by REMAP. Furthermore, this unique study strongly suggests that biota isotopes provide a simple means for monitoring how future ecosystem changes affect the role of periphyton (vs. macrophyte-dominated detritus) in local foodchains, and for predictive models for foodweb structure and MeHg bioaccumulation under different proposed land-management changes. Data are available for the following sites: Cell 4, ENR-OUT, L7, Cell 3, LOX, North Holeyland, E0, F1, U3/Glory Hole, L35B, 2BS, L67, 3A-15, 3A-TH, Lostmans Creek, North Prong Creek, TS-7, and TS-9 for the plants and animals found at each site. A first step of the Everglades restoration efforts is ""getting the water right"". However, the underlying goal is actually to re-establish, as much as possible, the ""pre-development"" spatial and temporal distribution of ecosystems throughout the Everglades. Stable isotope compositions of dissolved nutrients, biota, and sediments provide critical information about current and historic ecosystem conditions in the Everglades, including temporal and spatial variations in contaminant sources, biogeochemical reactions in the water column and shallow subsurface, and trophic relations. Hence, the scientific focus of this project is to use stable isotope techniques to examine ecosystem responses (especially variations in foodweb base and trophic structure) to temporal and spatial variations in hydroperiod and contaminant loading for the entire freshwater Everglades. The major ""long-term"" objectives of this project have been to: (1) determine the stable C, N, and S isotopic compositions of Everglades biota, (2) use bulk and compound-specific isotopic ratios to determine relative trophic positions for major organisms, (3) examine the spatial and temporal changes in foodweb structures across the ecosystem, especially with respect to the effect of anthropogenically derived nutrients and contaminants from agricultural land uses on foodwebs, (4) evaluate the effectiveness of isotopic techniques vs. gut content analysis for determining trophic relations in the Everglades, (5) evaluate the role of algae vs. detritus/microbial materials in foodwebs for the entire freshwater marsh part of the Everglades, and (6) work with modelers to correctly incorporate food web and MeHg bioaccumulation information into predictive models. More recent and specific objectives include: (1) link our data on seasonal and temporal differences in foodweb bases and trophic levels with SFWMD, FGFFC, and USGS Hg datasets (first for large fish and, more recently, for lower trophic levels), (2) investigate the effects of seasonal/spatial changes in nutrients, water levels, and reactions on the isotopic compositions at the base of the foodweb (that affect our interpretation of relative trophic positions of organisms), and (3) continue our efforts to link our foodweb isotope data from samples collected at USGS-ACME and EPA-REMAP sites with the spatial environmental patterns observed by the REMAP program. This work started as part of the Aquatic Cycling of Mercury in the Everglades (ACME) project in 1996 and was made a separate project in 2000." proprietary
USGS_SOFIA_kitchens_snail_kite Estimation of Critical Parameters in Conjunction with Monitoring the Florida Snail Kite Population CEOS_EXTRA STAC Catalog 2000-10-01 2003-09-30 -83.32674, 24.229189, -79.897285, 29.138569 https://cmr.earthdata.nasa.gov/search/concepts/C2231550848-CEOS_EXTRA.umm_json Life history traits and the population dynamics of the snail kite may vary considerably across space and over time. Understanding the influence of environmental (spatial and temporal) variation on demographic parameters is essential to understanding the population dynamics of a given species. Recognition of information needs for management decisions and conservation strategies has resulted in an increased emphasis on correlations to spatial and temporal environmental variation in relation to demographic studies. The purpose if this study is to provide valid estimates of the demographic parameters of the snail kite, including temporal and spatial variability due to environmental factors. These parameters will be used in a predictive model of the snail kite already developed under the ATLSS Program (Mooij et al. 2002). The snail kite (Rostrhamus sociabilis) is an endangered species that resides in the highly fluctuating ecosystem in the central and southern Florida wetlands. Many demographic traits, such as stage-dependent survival, reproduction, and movement of the snail kite vary both temporally and spatially. How these demographic parameters vary as a function of environmental conditions, hydrology in particular, is crucial for understanding how the snail kite will respond to proposed changes in water regulation in South and Central Florida. In particular, these data are needed for testing and improving the existing spatially-explicit, individual-based ATLSS snail kite model, developed by Mooij and Bennetts, which has recently been delivered to Department of Interior and other agencies (Mooij et al. 2002). From these data and the model, projections can be made on snail kite response to any hydrologic scenario. Also, continued estimates will be made of the rate of population growth. Assessing the demographic parameters is critical for identifying and evaluating the effectiveness of management actions and conservation strategies. In addition, new modeling techniques, such as structural modeling are being explored to better understand the effects of hydrology on the snail kite. The objectives of this project are the following: 1. To monitor the status of the snail kite population trends in central and southern Florida. 2. To provide estimates of demographic parameters for the spatially explicit individual-based model in ATLSS. 3. To collaborate with Dr. Wolf Mooij of the Netherlands Institute of Ecology to use snail kite data to validate the snail kite model. proprietary
-USGS_SOFIA_la_florida "A Land of Flowers on a Latitude of Deserts: Aiding Conservation and Management of Florida's Biodiversity by Using Predictions from ""Down-Scaled"" AOGCM Climate Scenarios in Combination with Ecological Modeling" CEOS_EXTRA STAC Catalog 1970-01-01 2000-12-31 -92, 23, -75, 38.24 https://cmr.earthdata.nasa.gov/search/concepts/C2231554072-CEOS_EXTRA.umm_json The objectives of this project are to develop the knowledge necessary to make accurate predictions of the response of species and their ecosystems to climate change. We propose to down-scale predictions from a suite of coupled Atmosphere-Ocean General Circulation Models (AOGCMs) to make regional scale predictions for the southeastern United States. For the time being the hydrologic and biologic models are confined to Florida. Climate outputs will then be used as inputs to a suite of species / habitat / ecosystem models that are currently being used in two key areas: the Greater Everglades and Suwannee River-Big Bend as a proof of concept that down-scaled climate results can work in ecological forecast models. We will run three scenarios of Land Use/Land Cover (LULC): past (circa 1900), present, and future (2041-2070). Additional climate model runs will address the contribution of green house gasses to climate variability and change over the Florida peninsula. Model perturbation experiments will be performed to address sources of variability and their contribution to the output regional climate change scenarios. We will develop scenarios that specifically address potential changes in temperature (land and near sea surface) and rainfall fields over the peninsula. We will then provide these scenarios and modeling results to resource management groups (NGOs, state and federal) via workshops in which the scenarios will be used to predict responses of additional selected species, habitats and ecosystems. Our approach is to develop regional climate predictions and subsequent ecological predictions for two 30-year long time periods as well as for the present. The first 30-year period is the recent past, spanning the period from 1971-2000. This will be used as a control, with copious observations of both climate variables (e.g. rainfall, ET) and species (e.g. densities, ranges) to verify both climate and ecology model outputs and to serve as a baseline to systematically judge the impacts of an altered climate. The second 30-year time period will begin 30 years in the future and extend for the thirty years from 2041-2070. This is a time horizon that is immediately relevant to habitat management. proprietary
USGS_SOFIA_la_florida "A Land of Flowers on a Latitude of Deserts: Aiding Conservation and Management of Florida's Biodiversity by Using Predictions from ""Down-Scaled"" AOGCM Climate Scenarios in Combination with Ecological Modeling" ALL STAC Catalog 1970-01-01 2000-12-31 -92, 23, -75, 38.24 https://cmr.earthdata.nasa.gov/search/concepts/C2231554072-CEOS_EXTRA.umm_json The objectives of this project are to develop the knowledge necessary to make accurate predictions of the response of species and their ecosystems to climate change. We propose to down-scale predictions from a suite of coupled Atmosphere-Ocean General Circulation Models (AOGCMs) to make regional scale predictions for the southeastern United States. For the time being the hydrologic and biologic models are confined to Florida. Climate outputs will then be used as inputs to a suite of species / habitat / ecosystem models that are currently being used in two key areas: the Greater Everglades and Suwannee River-Big Bend as a proof of concept that down-scaled climate results can work in ecological forecast models. We will run three scenarios of Land Use/Land Cover (LULC): past (circa 1900), present, and future (2041-2070). Additional climate model runs will address the contribution of green house gasses to climate variability and change over the Florida peninsula. Model perturbation experiments will be performed to address sources of variability and their contribution to the output regional climate change scenarios. We will develop scenarios that specifically address potential changes in temperature (land and near sea surface) and rainfall fields over the peninsula. We will then provide these scenarios and modeling results to resource management groups (NGOs, state and federal) via workshops in which the scenarios will be used to predict responses of additional selected species, habitats and ecosystems. Our approach is to develop regional climate predictions and subsequent ecological predictions for two 30-year long time periods as well as for the present. The first 30-year period is the recent past, spanning the period from 1971-2000. This will be used as a control, with copious observations of both climate variables (e.g. rainfall, ET) and species (e.g. densities, ranges) to verify both climate and ecology model outputs and to serve as a baseline to systematically judge the impacts of an altered climate. The second 30-year time period will begin 30 years in the future and extend for the thirty years from 2041-2070. This is a time horizon that is immediately relevant to habitat management. proprietary
+USGS_SOFIA_la_florida "A Land of Flowers on a Latitude of Deserts: Aiding Conservation and Management of Florida's Biodiversity by Using Predictions from ""Down-Scaled"" AOGCM Climate Scenarios in Combination with Ecological Modeling" CEOS_EXTRA STAC Catalog 1970-01-01 2000-12-31 -92, 23, -75, 38.24 https://cmr.earthdata.nasa.gov/search/concepts/C2231554072-CEOS_EXTRA.umm_json The objectives of this project are to develop the knowledge necessary to make accurate predictions of the response of species and their ecosystems to climate change. We propose to down-scale predictions from a suite of coupled Atmosphere-Ocean General Circulation Models (AOGCMs) to make regional scale predictions for the southeastern United States. For the time being the hydrologic and biologic models are confined to Florida. Climate outputs will then be used as inputs to a suite of species / habitat / ecosystem models that are currently being used in two key areas: the Greater Everglades and Suwannee River-Big Bend as a proof of concept that down-scaled climate results can work in ecological forecast models. We will run three scenarios of Land Use/Land Cover (LULC): past (circa 1900), present, and future (2041-2070). Additional climate model runs will address the contribution of green house gasses to climate variability and change over the Florida peninsula. Model perturbation experiments will be performed to address sources of variability and their contribution to the output regional climate change scenarios. We will develop scenarios that specifically address potential changes in temperature (land and near sea surface) and rainfall fields over the peninsula. We will then provide these scenarios and modeling results to resource management groups (NGOs, state and federal) via workshops in which the scenarios will be used to predict responses of additional selected species, habitats and ecosystems. Our approach is to develop regional climate predictions and subsequent ecological predictions for two 30-year long time periods as well as for the present. The first 30-year period is the recent past, spanning the period from 1971-2000. This will be used as a control, with copious observations of both climate variables (e.g. rainfall, ET) and species (e.g. densities, ranges) to verify both climate and ecology model outputs and to serve as a baseline to systematically judge the impacts of an altered climate. The second 30-year time period will begin 30 years in the future and extend for the thirty years from 2041-2070. This is a time horizon that is immediately relevant to habitat management. proprietary
USGS_SOFIA_lake_okee_bathy_data Lake Okeechobee Bathymetry data CEOS_EXTRA STAC Catalog 2001-09-01 -81.125, 26.625, -80.5, 27.25 https://cmr.earthdata.nasa.gov/search/concepts/C2231550957-CEOS_EXTRA.umm_json The data from the bathymetric mapping of Lake Okeechobee are provided in two forms: as raw data files and as elevation contour maps. High resolution acoustic bathymetric surveying is a proven method to map sea and lake floor elevations. Of primary interest to the South Florida Water Management District (SFWMD) is the quantification of the present day lakebed in Lake Okeechobee. This information can be used by water-management decision-makers to better assess the water capacity of the lake at various levels. proprietary
USGS_SOFIA_land_margin_ecosystems Dynamics of Land Margin Ecosystems: Historical Change, Hydrology, Vegetation, Sediment, and Climate CEOS_EXTRA STAC Catalog 2002-10-01 2009-12-31 -81.75, 25, -80.25, 26.25 https://cmr.earthdata.nasa.gov/search/concepts/C2231552313-CEOS_EXTRA.umm_json This project has three objectives (tasks): 1) operate and maintain the Mangrove Hydrology sampling network; 2) study the dynamics of coastal vegetation (mangroves, marshes) in relation to sea-level, fire, disturbance and restoration; and, 3) measure rates of sediment surface elevation change and soil accretion or loss in coastal mangrove forests and brackish marshes of the Everglades and determine how sediment elevation varies in relation to hydrology (i.e. the restoration). proprietary
USGS_SOFIA_lbwfbay Ecosystem History: Florida Bay and Southwest Coast CEOS_EXTRA STAC Catalog 1995-02-01 2003-02-06 -80.75, 24.75, -80.33, 25.25 https://cmr.earthdata.nasa.gov/search/concepts/C2231553226-CEOS_EXTRA.umm_json "Recent negative trends in the Florida Bay ecosystem have been attributed to human activities, however, neither the natural patterns of change, nor the pre-human baseline for the environment have been determined. The major objectives of this project are 1) to determine patterns of faunal and floral change over the last 150-200 years, and 2) to explore associations between biotic changes and anthropogenically-induced changes and/or natural changes in the physical environment. Environmental managers and policy makers responsible for restoring the Everglades ecosystem to a ""natural state"" can use these data to make economical and realistic decisions about restoration goals and to determine interim steps to ameliorate further damage to the ecosystem. The history of the ecosystem during the last 150-200 years is studied by analysis of faunal and floral assemblages from a series of shallow cores taken in Florida Bay. Cores are located at strategic sites in Florida Bay, with initial emphasis on the northeast and northern portions of the Bay where the most significant changes are thought to have occurred. These cores are submitted for Pb 210 analysis to determine the age and degree of disruption of the sediments. Cores that present a good stratigraphic record are sampled at closely spaced intervals for all macro-and micro-fauna and flora present. Quantitative down-core assemblage diagrams are drawn up and the various faunal and floral data are compared to look for correlated changes among the groups analyzed. Determinations of salinity, bottom conditions, nutrient supply and various other physical and chemical parameters of the environment are made for each sample based on the fauna and flora present. Data from all cores will be integrated to search for regional patterns of change in diversity and distribution of the fauna and flora, and data from Florida Bay will supplement and be correlated to onshore data and to Biscayne Bay (Ecosystems History: Terrestrial and Fresh Water Ecosystems of Southern Florida Project and Ecosystems History: Biscayne Bay and the southeast coast Project). The integrated data set will be analyzed to see if detected changes in biota correlate to alterations in physical parameters and/or historic records of human-induced modifications of the environment. This project is one component of an interdisciplinary study of the ecosystem history in Florida Bay. A number of USGS and other agencies scientist's are examining a series of shallow cores (~1-2 m) collected from Florida Bay. By studying the patterns of change that have occurred in the ecosystem over the last two centuries, we gain insight into the natural processes, including the natural range of variability that exists within any ecosystem. We can then determine the degree to which anthropogenic-induced change has effected the system. This understanding is critical to the restoration effort; otherwise we will be attempting to restore the system to a targeted snapshot in time, without understanding how realistic or obtainable those goals are. The ecosystem history component of the initiative will save time and money by providing realistic, economical, obtainable goals. Our component of this study is to analyze the down-core faunal and floral assemblages, over the last 150-200 years. Cores are located at strategic sites in Florida Bay, with initial emphasis on the northeast and northern portions of the Bay where the most significant changes are thought to have occurred. These cores are submitted for Pb 210 analysis to determine the age and degree of disruption of the sediments. Cores that present a good stratigraphic record are sampled at closely spaced intervals for all macro- and micro-fauna and flora present. Quantitative down-core assemblage diagrams are drawn up and the various faunal and floral data are compared to look for correlated changes among the groups analyzed. Determinations of salinity, bottom conditions, nutrient supply and various other physical and chemical parameters of the environment are made for each sample based on the fauna and flora present. Data from all cores will be integrated to search for regional patterns of change in diversity and distribution of the fauna and flora, and data from Florida Bay will supplement and be correlated to onshore data and to Biscayne Bay. The integrated data set will be analyzed to see if detected changes in biota correlate to alterations in physical parameters and/or historic records of human-induced modifications of the environment." proprietary
@@ -16239,8 +16241,8 @@ USGS_cont1992 1992 Water-Table Contours of the Mojave River Ground-Water Basin,
USGS_cont1992 1992 Water-Table Contours of the Mojave River Ground-Water Basin, San Bernardino County, California CEOS_EXTRA STAC Catalog 1970-01-01 -117.652695, 34.364513, -116.55357, 35.081955 https://cmr.earthdata.nasa.gov/search/concepts/C2231553864-CEOS_EXTRA.umm_json This data set consists of digital water-table contours for the Mojave River Basin. The U.S. Geological Survey, in cooperation with the Mojave Water Agency, constructed a water-table map of the Mojave River ground-water basin for ground-water levels measured in November 1992. Water-level data were collected from approximately 300 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,200 to 1,600 feet above sea level. [Summary provided by the USGS.] proprietary
USGS_cont1994 1994 Water-Table Contours of the Morongo Ground-Water Basin, San Bernardino County, California CEOS_EXTRA STAC Catalog 1970-01-01 -117.07194, 34.095333, -115.98976, 34.64026 https://cmr.earthdata.nasa.gov/search/concepts/C2231554677-CEOS_EXTRA.umm_json This data set consists of digital water-table contours for the Morongo Basin. The U.S. Geological Survey constructed a water-table map of the Morongo ground-water basin for ground-water levels measured during the period January-October 1994. Water-level data were collected from 248 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,400 to 1,500 feet above sea level. [Summary provided by the USGS.] proprietary
USGS_cont1994 1994 Water-Table Contours of the Morongo Ground-Water Basin, San Bernardino County, California ALL STAC Catalog 1970-01-01 -117.07194, 34.095333, -115.98976, 34.64026 https://cmr.earthdata.nasa.gov/search/concepts/C2231554677-CEOS_EXTRA.umm_json This data set consists of digital water-table contours for the Morongo Basin. The U.S. Geological Survey constructed a water-table map of the Morongo ground-water basin for ground-water levels measured during the period January-October 1994. Water-level data were collected from 248 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,400 to 1,500 feet above sea level. [Summary provided by the USGS.] proprietary
-USGS_cont1996 1996 Water-Table Contours of the Mojave River, the Morongo, and the Fort Irwin Ground-Water Basins, San Bernardino County, California ALL STAC Catalog 1970-01-01 -117.63461, 34.109745, -115.98707, 35.31552 https://cmr.earthdata.nasa.gov/search/concepts/C2231555091-CEOS_EXTRA.umm_json This data set consists of digital water-table contours for the Mojave River, the Morongo and the Fort Irwin Ground-Water Basins. The U.S. Geological Survey constructed a water-table map of the Mojave River, the Morongo and the Fort Irwin Ground-Water Basins for ground-water levels measured during the period January-September 1996. Water-level data were collected from 632 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:175,512. The contour interval ranges from 3,400 to 1,550 feet above sea level. [Summary provided by the USGS.] proprietary
USGS_cont1996 1996 Water-Table Contours of the Mojave River, the Morongo, and the Fort Irwin Ground-Water Basins, San Bernardino County, California CEOS_EXTRA STAC Catalog 1970-01-01 -117.63461, 34.109745, -115.98707, 35.31552 https://cmr.earthdata.nasa.gov/search/concepts/C2231555091-CEOS_EXTRA.umm_json This data set consists of digital water-table contours for the Mojave River, the Morongo and the Fort Irwin Ground-Water Basins. The U.S. Geological Survey constructed a water-table map of the Mojave River, the Morongo and the Fort Irwin Ground-Water Basins for ground-water levels measured during the period January-September 1996. Water-level data were collected from 632 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:175,512. The contour interval ranges from 3,400 to 1,550 feet above sea level. [Summary provided by the USGS.] proprietary
+USGS_cont1996 1996 Water-Table Contours of the Mojave River, the Morongo, and the Fort Irwin Ground-Water Basins, San Bernardino County, California ALL STAC Catalog 1970-01-01 -117.63461, 34.109745, -115.98707, 35.31552 https://cmr.earthdata.nasa.gov/search/concepts/C2231555091-CEOS_EXTRA.umm_json This data set consists of digital water-table contours for the Mojave River, the Morongo and the Fort Irwin Ground-Water Basins. The U.S. Geological Survey constructed a water-table map of the Mojave River, the Morongo and the Fort Irwin Ground-Water Basins for ground-water levels measured during the period January-September 1996. Water-level data were collected from 632 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:175,512. The contour interval ranges from 3,400 to 1,550 feet above sea level. [Summary provided by the USGS.] proprietary
USGS_erf1_Version 1.2, August 01, 1999 ERF1 -- Enhanced River Reach File 1.2 CEOS_EXTRA STAC Catalog 1999-01-07 1999-01-07 -127.8169, 23.247017, -65.55541, 48.19323 https://cmr.earthdata.nasa.gov/search/concepts/C2231552175-CEOS_EXTRA.umm_json ERF1 was designed to be a digital data base of river reaches capable of supporting regional and national water-quality and river-flow modeling and transport investigations in the water-resources community. ERF1 has been recently used at the U.S. Geological Survey to support interpretations of stream water-quality monitoring network data (see Alexander and others, 1996; Smith and others, 1995). In these analyses, the reach network has been used to determine flow pathways between the sources of point and nonpoint pollutants (e.g., fertilizer use, municipal wastewater discharges) and downstream water-quality monitoring locations in support of predictive water-quality models of stream nutrient transport. The digital data set ERF1 includes enhancements to the U.S. Environmental Protection Agency's River Reach File 1 (RF1)to ensure the hydrologic integrity of the digital reach traces and to quantify the time of travel of river reaches and reservoirs [see U.S.EPA (1996) for a description of the original RF1]. Any use of trade, product, or firm names is for descriptive proprietary
USGS_erfi-2_2.0, November 19, 2001 ERF1-2 -- Enhanced River Reach File 2.0 CEOS_EXTRA STAC Catalog 1999-01-07 1999-01-07 -127.85945, 23.243486, -65.37739, 48.194405 https://cmr.earthdata.nasa.gov/search/concepts/C2231551816-CEOS_EXTRA.umm_json "This report describes the process of enhancements to the stream reach network, ERF1, which is an enhanced version of EPA's RF1. The U.S. Environmental Protection Agency's reach file (RF1) is a database of interconnected stream segments or ""reaches"" that comprise the surface water drainage system for the United States. A variety of attributes have been assigned to each reach in support of spatial analysis and mapping applications. ERF1-2 was designed to be a digital database of river reaches capable of supporting regional and national water-quality and river-flow modeling by the water-resources community. ERF1, on which ERF1-2 is based, is used at the U.S. Geological Survey to support national-level water-quality monitoring modeling with the SPARROW model (see Alexander and others, 2000; Smith and others, 1997). In the current and earlier analyses, the reach network is used to determine flow pathways between the sources of point and nonpoint pollutants (e.g., fertilizer use, municipal wastewater discharges) and downstream water-quality monitoring locations in support of predictive water- quality models of stream nutrient transport. Acknowledgements The authors would like to thank Richard Smith, a co-developer of the SPARROW approach, Kristine Verdin, and Stephen Char, all of the U.S. Geological Survey, for providing technical assistance. The reviewers of this report, Dave Stewart, and Mike Wieczorek, are also acknowledged for their significant contributions. The digital segmented network based on watershed boundaries, ERF1-2, includes enhancements to the U.S. Environmental Protection Agency's River Reach File 1 (RF1) (USEPA, 1996; DeWald and others, 1985) to support national and regional-scale surface water-quality modeling. Alexander and others (1999) developed ERF1, which assessed the hydrologic integrity of the digital reach traces and calculated the mean water time-of-travel in river reaches and reservoirs. ERF1-2 serves as the foundation for SPARROW (Spatially Referenced Regressions (of nutrient transport) On Watershed) modeling. Within the context of a Geographic Information System, SPARROW estimates the proportion of watersheds in the conterminous U.S. with outflow concentrations of several nutrients, including total nitrogen and total phosphorus, (Smith, R.A., Schwarz, G.E., and Alexander, R.B., 1997). This version of the network expands on ERF1 (version 1.2; Alexander et al. 1999), and includes the incremental and total drainage area derived from 1-kilometer (km) elevation data for North America. Previous estimates of the water time-of-travel were recomputed for reaches with water- quality monitoring sites that included two reaches. The mean flow and velocity estimates for these split reaches are based on previous estimation methods (Alexander et al., 1999) and are unchanged in ERF1-2. Drainage area calculations provide data used to estimate the contribution of a given nutrient to the outflow. Data estimates depend on the accuracy of node connectivity. Reaches split at water- quality or pesticide-monitoring sites indicate the source point for estimating the contribution and transport of nutrients and their loads throughout the watersheds. The ERF1-2 coverage extends the earlier ERF1 coverage by providing digital-elevation-model (DEM-based estimates of reach drainage area founded on the 1-kilometer data for North America (Verdin, 1996; Verdin and Jenson, 1996). A 1-kilometer raster grid of ERF1-2 projected to Lambert Azimuthal Equal Area, NAD 27 Datum (Snyder, 1987), was merged with the HYDRO1K flow direction data set (Verdin and Jenson, 1996) to generate a DEM-based watershed grid, ERF1_2WS. The watershed boundaries are maintained in a raster (grid cell) format as well as a vector (polygon) format for subsequent model analysis. Both the coverage, ERF1-2, and the grid, ERF1-2WS are available at: ""http://water.usgs.gov/orh/nrwww/sparrow_section5_nolan.pdf"". Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in ArcInfo format, this metadata file may include some ArcInfo-specific terminology." proprietary
USGS_etsite_Version 1.0 Evapotranspiration sites within the Ash Meadows and Oasis Valley discharge areas, Nevada CEOS_EXTRA STAC Catalog 1993-01-01 1999-01-01 -116.73254, 36.37027, -116.296814, 37.063698 https://cmr.earthdata.nasa.gov/search/concepts/C2231552240-CEOS_EXTRA.umm_json The digital data set was created to display site locations at which micrometeorological data were collected in Ash Meadows and Oasis Valley, Nev. The digital data set provides locations and general descriptions of sites instrumented to collect micrometeorological data from which mean annual ET rates were computed. Sites are located in Ash Meadows and Oasis Valley, Nevada. Data were collected December 1993 through present. Introduction The digital data set was created in cooperation with the U.S. Department of Energy. The data set was created as part of a study to refine current estimates of ground-water discharge from the major discharge areas of the Death Valley regional flow system. This digital data set provides locations and general descriptions of sites instrumented during recent studies of evapotranspiration in Ash Meadows and Oasis Valley, Nevada. Data were collected December 1993 through 2001. Reviews The digital data set has gone through a multi-level, quality-control process to ensure that the data are a reasonable representation of source points. Reviewers were asked to check metadata and other documentation files for completeness and accuracy. Reviewers also were asked to check the topological consistency, tolerances, projections, and geographic extent. Notes Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although the data set has been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data and related materials. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in non-proprietary form, as well as in ArcInfo format, this metadata file may include some ArcInfo-specific terminology. Users should exercise caution and judgment in applying these data, and be aware that errors may be present in any or all of the digital image data. If errors are encountered in this data set, it will be appreciated if the user would pass this information to the Metadata_Contact. proprietary
@@ -16610,13 +16612,13 @@ VJ203MOD_NRT_2 VIIRS/JPSS2 Moderate Resolution Terrain Corrected Geolocation 6-M
VJ214IMGTDL_NRT_1 VIIRS (NOAA 21) I Band 375 m Active Fire Product NRT (Vector data) LANCEMODIS STAC Catalog 2016-01-01 -180, -80, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C3268827952-LANCEMODIS.umm_json Near real-time (NRT) NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fire detection product is based on that instrument's 375 m nominal resolution data. Compared to other coarser resolution (≥1km) satellite fire detection products, the improved 375 m data provide greater response over fires of relatively small areas, as well as improved mapping of large fire perimeters. Consequently, the data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. The 375 m product complements the baseline N21/VIIRS 750 m active fire detection and characterization data, which was originally designed to provide continuity to the existing 1 km Earth Observing System Moderate Resolution Imaging Spectroradiometer (EOS/MODIS) active fire data record. Due to frequent data saturation issues, the current 375 m fire product provides detection information only with no sub-pixel fire characterization. VJ214IMGTDL_NRT are available through NASA FIRMS in the following formats: TXT, SHP, KML, WMS. These data are also provided through the LANCE FIRMS Fire Email Alerts. Please note only the TXT and SHP files contain all the attributes. proprietary
VJ214IMG_NRT_2 VIIRS/JPSS2 Active Fires 6-Min L2 Swath 375m NRT LANCEMODIS STAC Catalog 2024-01-10 -180, -80, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2837613056-LANCEMODIS.umm_json The VIIRS/JPSS2 Active Fires 6-Min L2 Swath 375m NRT with short-name VNP14IMG_NRT is a Near Real Time (NRT) active fire detection data product (Schroeder 2014). The product is built on the EOS/MODIS fire product heritage [Kaufman et al., 1998; Giglio et al., 2003], using a multi-spectral contextual algorithm to identify sub-pixel fire activity and other thermal anomalies in the Level 1 (swath) input data. The algorithm uses all five 375 m VIIRS channels to detect fires and separate land, water, and cloud pixels in the image. Additional 750 m channels complement the available VIIRS multispectral data. Those channels are used as input to the baseline active fire detection product, which provides continuity to the EOS/MODIS 1 km Fire and Thermal Anomalies product.
The VIIRS 375 m fire detection data is a 6-min Level 2 swath product based on the input Science Data Record (SDR) Level 1 swath format. The NRT product is currently available through NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE). The data are formatted as NetCDF4 files. For more information read VIIRS 375 m Active Fire Algorithm User Guide at https://earthdata.nasa.gov/files/VIIRS_375m_Users_guide_Dec15_v2.pdf and Schroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014). The New VIIRS 375m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85-96. doi:10.1016/j.rse.2013.12.008 PDF from UMD or visit University of Maryland VIIRS Active Fire Web page at http://viirsfire.geog.umd.edu/ proprietary
VJ214_NRT_2 VIIRS/JPSS2 Thermal Anomalies/Fire 6-Min L2 Swath 750m NRT - V2 LANCEMODIS STAC Catalog 2024-03-05 -180, -80, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2888646877-LANCEMODIS.umm_json The VIIRS/JPSS2 Thermal Anomalies/Fire 6-Min L2 Swath 750m NRT product, short-name VJ214_NRT is based on the MODIS Fire algorithm. The input to the Active Fires production are Level-1B moderate-resolution reflective band M7, and emissive bands M13 and M15. The fire algorithm first calculates bands M13, M15 brightness temperature (BT) statistics for a group of background pixels adjacent to each potential fire pixel. These statistics are used to set thresholds for several contextual fire detection tests. There is also an absolute fire detection test based on a pre-set M13 BT threshold. If the results of the absolute and relative fire detection tests meet certain criteria, the pixel is labeled as fire. The designation of a pixel as fire from the results of the BT threshold tests may be overridden under sun glint conditions or if too few pixels were used to calculate the background statistics. The VJ214_NRT product contains several pieces of information for each fire pixel: pixel coordinates, latitude and longitude, pixel M7 reflectance, background M7 reflectance, pixel M13 and M15 BT, background M13 and M15 BT, mean background BT difference, background M13, M15, and BT difference mean absolute deviation, fire radiative power, number of adjacent cloud pixels, number of adjacent water pixels, background window size, number of valid background pixels, detection confidence, land pixel flag, background M7 reflectance, and reflectance mean absolute deviation. The product provides day and nighttime active fire detection over land and water (from gas flares). The VJ214 product provides fire data continuity with NASA's EOS MODIS 1 km fire product. For more information visit University of Maryland VIIRS Active Fire Web page at http://viirsfire.geog.umd.edu/ proprietary
-VMS_Bathy_Processing_1 Acoustic depth soundings collected on Australian Antarctic Division voyages, 2006/07 to 2010/11 ALL STAC Catalog 2006-12-08 2011-02-06 37, -69, 160, -33 https://cmr.earthdata.nasa.gov/search/concepts/C1214314095-AU_AADC.umm_json The data processing was done by the Royal Australian Navy's (RAN) Deployable Geospatial Support Team (DGST) and was provided to the Australian Antarctic Data Centre by the Australian Hydrographic Office. The dataset is titled HI483A because the processing was done on a 2010/11 voyage to Mawson and HI 483 was going to be a RAN survey at Mawson. The RAN survey wasn't feasible because of sea ice. The data processed (12KHz EDO 323HP echo sounder data) was collected on the following voyages: 2006/07 V2, V4, V6 2007/08 SIP, V3, V6 2008/09 V0, V1, V2, V3, V5 2009/10 V0, V1, V2, V3, V4, V5, V7 2010/11 Trials, V1, V2, V3, VE2, VMS All voyage data sets were processed in the following manner. As the Aurora Australis sails from either Hobart, Tasmania or Fremantle, Western Australia all the shallow water data files containing depths less then 200m around these ports were not processed and deleted. If the sea floor image was too hard to determine during the voyage either parts of day lines were not processed or the whole line deleted depending on the quality of the data. This is evident with some day *.CSV files containing a second or third file, these files had the same file name and were given a end character of _2 or _3. Unfortunately the program Echoview is meant to allow the user to span gaps when processing a line but more often than not, this was not the case. So if there was a requirement to a have gap in the daily file then usually a second file was created. Regularly throughout all voyages files were observed that had no GPS data associated with the depths. Any raw files without GPS data could not be processed, all these files have been deleted. Occasionally corrupt files were experienced, and these corrupt files have also been deleted. When the Aurora Australis was at anchor off an Antarctic Station these files too were deleted. With the various problems with the raw data files, no voyage has complete sounding data for the whole voyage. Some voyages have large sections of data missing, but unfortunately this data was not able to processed due to one of the above factors. All soundings were processed utilising the spheroid, WGS84 and only geographic co-ordinates have been determined. UTM grid co-ordinates were not calculated during the processing stages due to software limitations. Grid co-ordinates were not calculated for the final HTF files. Scripts were developed to apply depth water corrections, tide offsets if shallower than 200m of water and the layback of the sounder with respect to the Ashtech GPS. The processing of the data from 2007/08 V3, 2007/08 V6 and 2010/11 V3 was incomplete. Complete processing of the data from these voyages was done as part of HI513 which is described by the metadata record with ID AAD_voyage_soundings_HI513. The data has not been through the verification process for use in charts. proprietary
VMS_Bathy_Processing_1 Acoustic depth soundings collected on Australian Antarctic Division voyages, 2006/07 to 2010/11 AU_AADC STAC Catalog 2006-12-08 2011-02-06 37, -69, 160, -33 https://cmr.earthdata.nasa.gov/search/concepts/C1214314095-AU_AADC.umm_json The data processing was done by the Royal Australian Navy's (RAN) Deployable Geospatial Support Team (DGST) and was provided to the Australian Antarctic Data Centre by the Australian Hydrographic Office. The dataset is titled HI483A because the processing was done on a 2010/11 voyage to Mawson and HI 483 was going to be a RAN survey at Mawson. The RAN survey wasn't feasible because of sea ice. The data processed (12KHz EDO 323HP echo sounder data) was collected on the following voyages: 2006/07 V2, V4, V6 2007/08 SIP, V3, V6 2008/09 V0, V1, V2, V3, V5 2009/10 V0, V1, V2, V3, V4, V5, V7 2010/11 Trials, V1, V2, V3, VE2, VMS All voyage data sets were processed in the following manner. As the Aurora Australis sails from either Hobart, Tasmania or Fremantle, Western Australia all the shallow water data files containing depths less then 200m around these ports were not processed and deleted. If the sea floor image was too hard to determine during the voyage either parts of day lines were not processed or the whole line deleted depending on the quality of the data. This is evident with some day *.CSV files containing a second or third file, these files had the same file name and were given a end character of _2 or _3. Unfortunately the program Echoview is meant to allow the user to span gaps when processing a line but more often than not, this was not the case. So if there was a requirement to a have gap in the daily file then usually a second file was created. Regularly throughout all voyages files were observed that had no GPS data associated with the depths. Any raw files without GPS data could not be processed, all these files have been deleted. Occasionally corrupt files were experienced, and these corrupt files have also been deleted. When the Aurora Australis was at anchor off an Antarctic Station these files too were deleted. With the various problems with the raw data files, no voyage has complete sounding data for the whole voyage. Some voyages have large sections of data missing, but unfortunately this data was not able to processed due to one of the above factors. All soundings were processed utilising the spheroid, WGS84 and only geographic co-ordinates have been determined. UTM grid co-ordinates were not calculated during the processing stages due to software limitations. Grid co-ordinates were not calculated for the final HTF files. Scripts were developed to apply depth water corrections, tide offsets if shallower than 200m of water and the layback of the sounder with respect to the Ashtech GPS. The processing of the data from 2007/08 V3, 2007/08 V6 and 2010/11 V3 was incomplete. Complete processing of the data from these voyages was done as part of HI513 which is described by the metadata record with ID AAD_voyage_soundings_HI513. The data has not been through the verification process for use in charts. proprietary
+VMS_Bathy_Processing_1 Acoustic depth soundings collected on Australian Antarctic Division voyages, 2006/07 to 2010/11 ALL STAC Catalog 2006-12-08 2011-02-06 37, -69, 160, -33 https://cmr.earthdata.nasa.gov/search/concepts/C1214314095-AU_AADC.umm_json The data processing was done by the Royal Australian Navy's (RAN) Deployable Geospatial Support Team (DGST) and was provided to the Australian Antarctic Data Centre by the Australian Hydrographic Office. The dataset is titled HI483A because the processing was done on a 2010/11 voyage to Mawson and HI 483 was going to be a RAN survey at Mawson. The RAN survey wasn't feasible because of sea ice. The data processed (12KHz EDO 323HP echo sounder data) was collected on the following voyages: 2006/07 V2, V4, V6 2007/08 SIP, V3, V6 2008/09 V0, V1, V2, V3, V5 2009/10 V0, V1, V2, V3, V4, V5, V7 2010/11 Trials, V1, V2, V3, VE2, VMS All voyage data sets were processed in the following manner. As the Aurora Australis sails from either Hobart, Tasmania or Fremantle, Western Australia all the shallow water data files containing depths less then 200m around these ports were not processed and deleted. If the sea floor image was too hard to determine during the voyage either parts of day lines were not processed or the whole line deleted depending on the quality of the data. This is evident with some day *.CSV files containing a second or third file, these files had the same file name and were given a end character of _2 or _3. Unfortunately the program Echoview is meant to allow the user to span gaps when processing a line but more often than not, this was not the case. So if there was a requirement to a have gap in the daily file then usually a second file was created. Regularly throughout all voyages files were observed that had no GPS data associated with the depths. Any raw files without GPS data could not be processed, all these files have been deleted. Occasionally corrupt files were experienced, and these corrupt files have also been deleted. When the Aurora Australis was at anchor off an Antarctic Station these files too were deleted. With the various problems with the raw data files, no voyage has complete sounding data for the whole voyage. Some voyages have large sections of data missing, but unfortunately this data was not able to processed due to one of the above factors. All soundings were processed utilising the spheroid, WGS84 and only geographic co-ordinates have been determined. UTM grid co-ordinates were not calculated during the processing stages due to software limitations. Grid co-ordinates were not calculated for the final HTF files. Scripts were developed to apply depth water corrections, tide offsets if shallower than 200m of water and the layback of the sounder with respect to the Ashtech GPS. The processing of the data from 2007/08 V3, 2007/08 V6 and 2010/11 V3 was incomplete. Complete processing of the data from these voyages was done as part of HI513 which is described by the metadata record with ID AAD_voyage_soundings_HI513. The data has not been through the verification process for use in charts. proprietary
VMS_Benthic_Photography_1 High resolution still photographs of the seafloor across the Mertz Glacier Region AU_AADC STAC Catalog 2011-01-04 2011-02-06 140, -67, 150, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214314096-AU_AADC.umm_json Geoscience Australia and the Australian Antarctic Division conducted a benthic community survey using underwater still photographs on the shelf around the Mertz Glacier region. The purpose of the work was to collect high resolution still photographs of the seafloor across the shelf to address three main objectives: 1. to investigate benthic community composition in the area previously covered by the Mertz Glacier tongue and to the east, an area previously covered by fast ice 2. to investigate benthic community composition (or lack thereof) in areas of known iceberg scours 3. to investigate the lateral extent of cold water coral communities in canyons along the shelf break. Benthic photos were captured using a Canon EOS 20D SLR 8 megapixel stills camera fitted with a Canon EF 35mm f1.4 L USM lens in a 2500m rated flat port anodised aluminium housing. Two Canon 580EX Speedlight strobes were housed in 6000m rated stainless steel housings with hemispherical acrylic domes. The camera and strobes were powered with a 28V 2.5Ah cyclone SLA battery pack fitted in the camera housing and connected using Brantner Wetconn series underwater connectors. The results were obtained with 100 ASA and a flash compensation value of +2/3 of a stop. The focus was set manually to 7m and the image was typically exposed at f2.8 and a shutter speed of 1/60 sec. The interval between photos was set to 10 or 15 seconds. The camera was fitted to either the CTD frame or the beam trawl frame and lowered to approximately 4-5 m from the bottom. Two laser pointers, set 50 cm apart, were used for scale. The camera was deployed at 93 stations, 7 using the beam trawl frame and 86 using the CTD frame. The stations were named by: 1. Camera deployment frame (e.g. CTD or beam trawl, BT) 2. Frame sequence number (e.g. CTD53) 3. Instrument (e.g. camera = CAM) 4. Sequence of camera deployments through the survey overall (e.g. first deployment = CAM01, second deployment = CAM02 etc). For example, BT5_CAM16 is the sixteenth camera deployment of the survey overall, and was the fifth deployment using the beam trawl frame. From the 93 stations, there were 75 successful camera deployments. There were no photos captured at 9 stations. This was due to the camera or strobes malfunctioning, the camera being too far from the bottom, or the camera or strobes being in the mud at the bottom. The photos at a further 9 stations are considered poor due to the camera being out of focus, the camera being a little too far from the bottom or because very few photos were captured of the bottom. The benthic photo will be used to document the fauna and communities associated with representative habitats in the study area. The post-cruise analysis of the benthic photos will involve recording seabed geology and biology (class or order, and whatever is significant for the habitat) for each image proprietary
-VMS_FRRF_1 2010/11 VMS - Fast Repetition Rate Fluorometer (FRRF) sampling on the Aurora Australis AU_AADC STAC Catalog 2011-01-04 2011-02-06 140, -67, 150, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214314029-AU_AADC.umm_json FRRF deployments were conducted at 22 sites in conjunction with ship stop times when the CTD was deployed. See event log for locations. Some underway FRRF sampling was conducted on the return voyage. This work was conducted as part of the VMS (Voyage Marine Science) voyage of the Aurora Australis in the 2010-2011 season. A report providing further details about the FRRF work is available as part of the download file. The download file also contains a word document (also included in the download file for metadata record ASAC_1307) explaining the data columns in the excel spreadsheets. proprietary
VMS_FRRF_1 2010/11 VMS - Fast Repetition Rate Fluorometer (FRRF) sampling on the Aurora Australis ALL STAC Catalog 2011-01-04 2011-02-06 140, -67, 150, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214314029-AU_AADC.umm_json FRRF deployments were conducted at 22 sites in conjunction with ship stop times when the CTD was deployed. See event log for locations. Some underway FRRF sampling was conducted on the return voyage. This work was conducted as part of the VMS (Voyage Marine Science) voyage of the Aurora Australis in the 2010-2011 season. A report providing further details about the FRRF work is available as part of the download file. The download file also contains a word document (also included in the download file for metadata record ASAC_1307) explaining the data columns in the excel spreadsheets. proprietary
-VMS_Genomics_1 2010/11 VMS Geonomics sampling - data collected from the VMS (Voyage Marine Science) voyage of the Aurora Australis AU_AADC STAC Catalog 2011-01-04 2011-02-06 140, -67, 150, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214314097-AU_AADC.umm_json Purpose of future metagenomic (DNA), metaproteomic (protein) and metatranscriptomic (RNA) analysis: For each sample, two drums (~200L each) of seawater were collected. Samples were taken from CTD sites, and surface samples (2m depth) taken at each of these sites. At most of these CTD sites, a deeper sample was taken according to the location of the DCM at that site. The 200L seawater is pumped through a 20 micron mesh to remove the largest particles, then the biomass is collected on three consecutive filters corresponding to decreasing pore size (3.0 microns, 0.8 microns, 0.1 microns). This is repeated for each sample using the second 200L of seawater to generate duplicates for each sample. The overall aim is to determine the identity of microbes present in the Southern Ocean, and what microbial metabolic processes are in operation. In other words: who is there, and what they are doing. Special emphasis was placed on the SR3 transect. Samples were collected as below. For each sample, a total of six filters were obtained (3x pore sizes, 2x replicates). Each filter is stored in a storage buffer in a 50mL tube, and placed at -80 degrees C for the remainder of the voyage. proprietary
+VMS_FRRF_1 2010/11 VMS - Fast Repetition Rate Fluorometer (FRRF) sampling on the Aurora Australis AU_AADC STAC Catalog 2011-01-04 2011-02-06 140, -67, 150, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214314029-AU_AADC.umm_json FRRF deployments were conducted at 22 sites in conjunction with ship stop times when the CTD was deployed. See event log for locations. Some underway FRRF sampling was conducted on the return voyage. This work was conducted as part of the VMS (Voyage Marine Science) voyage of the Aurora Australis in the 2010-2011 season. A report providing further details about the FRRF work is available as part of the download file. The download file also contains a word document (also included in the download file for metadata record ASAC_1307) explaining the data columns in the excel spreadsheets. proprietary
VMS_Genomics_1 2010/11 VMS Geonomics sampling - data collected from the VMS (Voyage Marine Science) voyage of the Aurora Australis ALL STAC Catalog 2011-01-04 2011-02-06 140, -67, 150, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214314097-AU_AADC.umm_json Purpose of future metagenomic (DNA), metaproteomic (protein) and metatranscriptomic (RNA) analysis: For each sample, two drums (~200L each) of seawater were collected. Samples were taken from CTD sites, and surface samples (2m depth) taken at each of these sites. At most of these CTD sites, a deeper sample was taken according to the location of the DCM at that site. The 200L seawater is pumped through a 20 micron mesh to remove the largest particles, then the biomass is collected on three consecutive filters corresponding to decreasing pore size (3.0 microns, 0.8 microns, 0.1 microns). This is repeated for each sample using the second 200L of seawater to generate duplicates for each sample. The overall aim is to determine the identity of microbes present in the Southern Ocean, and what microbial metabolic processes are in operation. In other words: who is there, and what they are doing. Special emphasis was placed on the SR3 transect. Samples were collected as below. For each sample, a total of six filters were obtained (3x pore sizes, 2x replicates). Each filter is stored in a storage buffer in a 50mL tube, and placed at -80 degrees C for the remainder of the voyage. proprietary
+VMS_Genomics_1 2010/11 VMS Geonomics sampling - data collected from the VMS (Voyage Marine Science) voyage of the Aurora Australis AU_AADC STAC Catalog 2011-01-04 2011-02-06 140, -67, 150, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214314097-AU_AADC.umm_json Purpose of future metagenomic (DNA), metaproteomic (protein) and metatranscriptomic (RNA) analysis: For each sample, two drums (~200L each) of seawater were collected. Samples were taken from CTD sites, and surface samples (2m depth) taken at each of these sites. At most of these CTD sites, a deeper sample was taken according to the location of the DCM at that site. The 200L seawater is pumped through a 20 micron mesh to remove the largest particles, then the biomass is collected on three consecutive filters corresponding to decreasing pore size (3.0 microns, 0.8 microns, 0.1 microns). This is repeated for each sample using the second 200L of seawater to generate duplicates for each sample. The overall aim is to determine the identity of microbes present in the Southern Ocean, and what microbial metabolic processes are in operation. In other words: who is there, and what they are doing. Special emphasis was placed on the SR3 transect. Samples were collected as below. For each sample, a total of six filters were obtained (3x pore sizes, 2x replicates). Each filter is stored in a storage buffer in a 50mL tube, and placed at -80 degrees C for the remainder of the voyage. proprietary
VNP01_NRT_2 VIIRS/NPP Raw Radiances in Counts 6-Min L1A Swath NRT LANCEMODIS STAC Catalog 2022-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208439292-LANCEMODIS.umm_json VIIRS/NPP Raw Radiances in Counts 6-Min L1A Swath - NRT product contains the unpacked, raw VIIRS science, calibration and engineering data; the extracted ephemeris and attitude data from the spacecraft diary packets; and the raw ADCS and bus-critical spacecraft telemetry data from those packets, with a few critical fields extracted. The shortname for this product is VNP01_NRT. For more information download VIIRS Level 1 Product User's Guide at https://oceancolor.gsfc.nasa.gov/docs/format/VIIRS_Level-1_DataProductUsersGuide.pdf file_naming_convention = VNP01_NRT.AYYYYDDD.HHMM.CCC.nc AYYYYDDD = Acquisition Year and Day of Year HHMM = Acquisition Hour and Minute CCC = Collection number nc = NetCDF5 proprietary
VNP02DNB_2 VIIRS/NPP Day/Night Band 6-Min L1B Swath 750 m LAADS STAC Catalog 2012-01-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105091380-LAADS.umm_json The VIIRS/NPP Day/Night Band 6-Min L1B Swath 750 m product, short-name VNP02DNB, is a panchromatic Day-Night band (DNB) calibrated radiance product. The DNB is one of the M-bands with an at-nadir spatial resolution of 750 meters (across the entire scan). The panchromatic DNB’s spectral wavelength ranges from 0.5 µm to 0.9 µm. It facilitates measuring night lights, reflected solar/lunar lights with a large dynamic range between a low of a quarter moon illumination to the brightest daylight. More information is available at product page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/VNP02DNB/ proprietary
VNP02DNB_NRT_2 VIIRS/NPP Day/Night Band 6-Min L1B Swath 750m NRT LANCEMODIS STAC Catalog 2022-01-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208367854-LANCEMODIS.umm_json The VIIRS/NPP Day/Night Band 6-Min L1B Swath SDR 750m Near Real Time (NRT) product, short-name VNP02DNB_NRT is among the VIIRS Level 1 and Level 2 swath products that are generated from the processing of 6 minutes of VIIRS data acquired during the S-NPP satellite overpass. The Day/Night band (DNB) is a panchromatic channel covering the wavelengths from 500 nm to 900 nm, and sensitive to visible and near-infrared from daylight down to the low-level radiation observed at night. The VIIRS DNB is much improved from previous products due in large part to its complicated continuous on-board calibration. In addition, new-moon Earth observations are used to estimate and remove stray light. These corrections are a first of its kind to provide on-orbit radiometric calibration. The corrections made to the DNB data are provided by the NASA VIIRS Characterization Support Team and are likely to continue to evolve given this new methodology. The spatial resolution of the instrument at viewing nadir is approximately 750 m for the DNB and the Moderate-resolution Bands and and 375m for the Imagery bands. The DNB is aggregated to maintain nearly constant horizontal spatial resolution across the swath. As the DNB is sensitive to nighttime radiation over the full lunar cycle, the incoming solar and lunar radiation must be properly modeled to calculate the reflectance. However, the DNB is sensitive to more sources of radiation than just the sun and moon. proprietary
@@ -16849,8 +16851,8 @@ Vulcan_V3_Annual_Emissions_1741_1 Vulcan: High-Resolution Annual Fossil Fuel CO2
Vulcan_V3_Hourly_Emissions_1810_1 Vulcan: High-Resolution Hourly Fossil Fuel CO2 Emissions in USA, 2010-2015, Version 3 ORNL_CLOUD STAC Catalog 2010-01-01 2016-01-01 -165.21, 22.86, -65.31, 73.75 https://cmr.earthdata.nasa.gov/search/concepts/C2516155224-ORNL_CLOUD.umm_json The Vulcan version 3.0 hourly dataset quantifies hourly emissions at a 1-km resolution for the 2010-2015 time period. Estimates are provided of hourly carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the state of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Files for hourly total emissions are also available. Data are represented in space on a 1 km x 1 km grid as hourly totals for 2010-2015. This dataset provides the first bottom-up U.S.-wide FFCO2 emissions data product at 1 km2/hourly for multiple years and is designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications. proprietary
WACS2_0 Western Atlantic Climate Study II OB_DAAC STAC Catalog 2014-05-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360697-OB_DAAC.umm_json Sea spray aerosol (SSA) impacts the Earth’s radiation budget indirectly by altering cloud properties including albedo, lifetime, and extent, and directly by scattering solar radiation. Characterization of the properties of SSA in its freshly emitted state is needed for accurate model calculations of climate impacts. In addition, simultaneous measurements of surface seawater are required to assess the impact of ocean properties on sea spray aerosol and to develop accurate parameterizations of the SSA number production flux for use in regional and global scale models.Sea spray aerosol (SSA) impacts the Earth’s radiation budget indirectly by altering cloud properties including albedo, lifetime, and extent, and directly by scattering solar radiation. Characterization of the properties of SSA in its freshly emitted state is needed for accurate model calculations of climate impacts. In addition, simultaneous measurements of surface seawater are required to assess the impact of ocean properties on sea spray aerosol and to develop accurate parameterizations of the SSA number production flux for use in regional and global scale models. proprietary
WAF_DEALIASED_SASS_L2_1 SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (Wentz et al.) POCLOUD STAC Catalog 1978-07-07 1978-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617197640-POCLOUD.umm_json Contains Seasat-A Scatterometer (SASS) wind vector measurements for the entire Seasat mission, from July 1978 until October 1978. The data are global and presented chronologically in by swath. Each record contains data binned in 100 km cells. No wind vectors are computed for the cells along the left and right edges of the swath. Wind direction ambiguities are resolved using a global weather prediction model. This complete dataset is the result of the reprocessing efforts on behalf of Frank Wentz, Robert Atlas, and Michael Freilich. proprietary
-WARd0002_108 Administration Division Maps Of Poland CEOS_EXTRA STAC Catalog 1970-01-01 24, 14, 49, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2232846827-CEOS_EXTRA.umm_json Administration division of Poland created on a basis of digitization with manual generalisation proper for specific scales. Projection Albers; points and polygons; ARC/INFO and SINUS systems proprietary
WARd0002_108 Administration Division Maps Of Poland ALL STAC Catalog 1970-01-01 24, 14, 49, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2232846827-CEOS_EXTRA.umm_json Administration division of Poland created on a basis of digitization with manual generalisation proper for specific scales. Projection Albers; points and polygons; ARC/INFO and SINUS systems proprietary
+WARd0002_108 Administration Division Maps Of Poland CEOS_EXTRA STAC Catalog 1970-01-01 24, 14, 49, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2232846827-CEOS_EXTRA.umm_json Administration division of Poland created on a basis of digitization with manual generalisation proper for specific scales. Projection Albers; points and polygons; ARC/INFO and SINUS systems proprietary
WARd0004_108 Land Use Division Maps of Poland CEOS_EXTRA STAC Catalog 1970-01-01 24, 14, 49, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2232848834-CEOS_EXTRA.umm_json Land use map of Poland acquisited form interpreted Landsat TM, MSS images by digitization. 24 classes of land use grouped in subjects (agriculture, grass lands, settlements and communication areas, forests, surface waters, industry, not used areas). Vector and raster format; projection Albers; ARC/INFO and SINUS systems proprietary
WARd0005_108 Geomorphology Forms of Poland CEOS_EXTRA STAC Catalog 1970-01-01 24, 14, 49, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2232848304-CEOS_EXTRA.umm_json Geomorphological forms of Poland created within Central Scientific Programme 10.4/1989. Digitized from the map of relief types in Poland; Scale 1:1 000 000. proprietary
WARd0006_108 Hunting Unit Border Maps of Poland CEOS_EXTRA STAC Catalog 1970-01-01 24, 14, 49, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2232849207-CEOS_EXTRA.umm_json Borders of hunting units digitized from the maps prepared by Polish Hunting Association within Central Scientific Programme 10.4/1989. proprietary
@@ -16918,28 +16920,28 @@ West_Soil_Carbon_1238_1 Soil Carbon Estimates in 20-cm Layers to 1-meter Depth,
Western USA Live Fuel Moisture_1 Western USA Live Fuel Moisture MLHUB STAC Catalog 2020-01-01 2023-01-01 -123.5313889, 28.3, -93.8227778, 48.4136111 https://cmr.earthdata.nasa.gov/search/concepts/C2781412788-MLHUB.umm_json "This data contains manually collected live fuel moisture measurements in the western United States and remotely-sensed variables. Live fuel moisture represents the mass of water in live vegetation elements like leaves, needles, and twigs divided by its oven-dried mass. It is represented in percentages. Higher the live fuel moisture, wetter the vegetation elements, and vice versa. Live fuel moisture measurements were collected by the United States Forest Service and are available from the [National Fuel Moisture Database](https://www.wfas.net/index.php/national-fuel-moisture-database-moisture-drought-103). Each row of the data corresponds to one unique ground measurement of live fuel moisture (column named ""percent(t)"") matched with various remotely-sensed observables that may be used to predict live fuel moisture. The live fuel moisture is sampled for representative species within a 5-acre plot (or 20,000 m2) centered at the location described by the columns ""latitude"" and ""longitude"" on the day described by the column ""date"". All other columns represent remotely-sensed observables from satellites (e.g., Sentinel-1 and Landsat-8) or maps (e.g., soil texture). Temporally varying remotely-sensed observables are interpolated to 15-day periods and are provided for the date closest to the day of ground-measurement as well as for 6 fortnights preceding the day of live fuel moisture measurement. The time series of satellite data may allow for greater predictability of live fuel moisture." proprietary
Western_Gulf_of_Maine_0 Observations from the Western Gulf of Maine OB_DAAC STAC Catalog 2006-02-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360698-OB_DAAC.umm_json Observations from the Western Gulf of Maine proprietary
Wetland_Soil_CarbonStocks_WA_2249_1 Soil Organic Carbon and Wetland Intrinsic Potential, Hoh River Watershed, WA, 2012-13 ORNL_CLOUD STAC Catalog 2012-01-01 2022-06-29 -124.54, 47.57, -123.83, 47.9 https://cmr.earthdata.nasa.gov/search/concepts/C2951683862-ORNL_CLOUD.umm_json This dataset contains estimates of soil organic carbon stocks and wetland intrinsic potential (WIP) across the Hoh River Watershed in the Olympic Peninsula, WA, USA in 2012-2013. Estimates were derived from an equation based on wetland intrinsic potential and geology type (Stewart et al., 2023). Wetland intrinsic potential estimates the likelihood that that an area is a wetland using a random forest model built on vegetation, hydrology, and soil data (Halabisky et al., 2022). SOC estimates at 1 m and 30 cm, SOC standard deviations, and WIP are presented in Cloud-Optimized GeoTIFF (*.tif) format at 4-m resolution. Also included are 36 field observations of SOC collected from 2020-08-01 to 2022-06-29. These are contained in a comma separated (*.csv) file. proprietary
-Wetland_VegClassification_PAD_2069_1 ABoVE: Wetland Vegetation Classification for Peace-Athabasca Delta, Canada, 2019 ALL STAC Catalog 2019-07-15 2019-09-15 -112.11, 58.21, -110.83, 59.14 https://cmr.earthdata.nasa.gov/search/concepts/C2308233855-ORNL_CLOUD.umm_json This dataset contains land cover classification focused on water and wetland vegetation communities over the Peace-Athabasca Delta, Canada. Four classification maps with 5-m resolution were derived various combinations of Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) acquired in July and September 2019, and a historical LiDAR archive data. The maps include 10 land cover classes, including open water, emergent aquatic vegetation types, terrestrial vegetation, and forest. Based on field data, the best performing model, which combined all three data sources, achieved an overall accuracy of 93.5%. The land cover maps are provided in GeoTIFF format along with polygons of AVIRIS-NG, UAVSAR, and LiDAR footprints in shapefile and KML formats. proprietary
Wetland_VegClassification_PAD_2069_1 ABoVE: Wetland Vegetation Classification for Peace-Athabasca Delta, Canada, 2019 ORNL_CLOUD STAC Catalog 2019-07-15 2019-09-15 -112.11, 58.21, -110.83, 59.14 https://cmr.earthdata.nasa.gov/search/concepts/C2308233855-ORNL_CLOUD.umm_json This dataset contains land cover classification focused on water and wetland vegetation communities over the Peace-Athabasca Delta, Canada. Four classification maps with 5-m resolution were derived various combinations of Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) acquired in July and September 2019, and a historical LiDAR archive data. The maps include 10 land cover classes, including open water, emergent aquatic vegetation types, terrestrial vegetation, and forest. Based on field data, the best performing model, which combined all three data sources, achieved an overall accuracy of 93.5%. The land cover maps are provided in GeoTIFF format along with polygons of AVIRIS-NG, UAVSAR, and LiDAR footprints in shapefile and KML formats. proprietary
+Wetland_VegClassification_PAD_2069_1 ABoVE: Wetland Vegetation Classification for Peace-Athabasca Delta, Canada, 2019 ALL STAC Catalog 2019-07-15 2019-09-15 -112.11, 58.21, -110.83, 59.14 https://cmr.earthdata.nasa.gov/search/concepts/C2308233855-ORNL_CLOUD.umm_json This dataset contains land cover classification focused on water and wetland vegetation communities over the Peace-Athabasca Delta, Canada. Four classification maps with 5-m resolution were derived various combinations of Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) acquired in July and September 2019, and a historical LiDAR archive data. The maps include 10 land cover classes, including open water, emergent aquatic vegetation types, terrestrial vegetation, and forest. Based on field data, the best performing model, which combined all three data sources, achieved an overall accuracy of 93.5%. The land cover maps are provided in GeoTIFF format along with polygons of AVIRIS-NG, UAVSAR, and LiDAR footprints in shapefile and KML formats. proprietary
WhitePhenoregions_799_1 Phenoregions For Monitoring Vegetation Responses to Climate Change ORNL_CLOUD STAC Catalog 1982-01-01 1999-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784383305-ORNL_CLOUD.umm_json The overall purpose in this research was to identify the regions of the world best suited for long-term monitoring of biospheric responses to climate change, i.e., monitoring land surface phenology. The user is referred to White et al. [2005] for further details. Using global 8 km 1982 to 1999 Normalized Difference Vegetation Index (NDVI) data and an eight-element monthly climatology, we identified pixels consistently dominated by annual cycles and then created phenologically and climatically self-similar clusters, which we term phenoregions. We then ranked and screened each phenoregion as a function of landcover homogeneity and consistency, evidence of human impacts, and political diversity.This dataset contains material providing users with direct access to data used to construct the figures in White et al. [2005]. Users are referred to this reference for additional information. Data files include ASCII and binary versions of the image files for the 500 elemental phenoregions and the 136 final monitoring phenoregions (shown in figure below) and a corresponding .jpg map. Also included are the classification data in tabular ACSII format for each of the 500 elemental phenoregions.Selected monitoring phenoregions. Phenoregions with fewer than 100 pixels or dominated by crop, urban or barren landcover removed. The 136 remaining phenoregions are those passing the screening factors in Table 1 and are shown with normalized rankings by landcover. (From White et al., 2005) proprietary
-WhiteSpruce_Leaf_Traits_Alaska_2124_1 ABoVE: White Spruce Photosynthetic and Leaf Traits, Alaska and New York, 2017 ORNL_CLOUD STAC Catalog 2017-06-19 2017-07-20 -149.75, 41.4, -74.02, 67.99 https://cmr.earthdata.nasa.gov/search/concepts/C2636355463-ORNL_CLOUD.umm_json This dataset provides measurements of gas exchange (light response curves, Kok curves and ACi curves), leaf traits (carbon, nitrogen, and specific leaf area), leaf pigments (Chlorophyll a, Chlorophyll b and Carotenoids), the photochemical reflectance index (PRI), and average photosynthetic photon flux density as collected from hemispherical photographs. Data were collected on white spruce trees (Picea glauca (Moench) Voss) growing at the northern edge of the species' distribution in Alaska and at the southern edge of the species' distribution in Black Rock Forest (BRF), New York. Measurements were taken at high and low canopy positions on each tree at both sites during the 2017 growing season (2017-06-19 to 2017-07-20). Gas exchange, leaf trait, pigment and spectral measurements were obtained using a portable photosynthesis system (LI-6800, LI-COR, Lincoln, NE). Photochemical reflectance index was determined using a spectroradiometer, and hemispherical photographs were taken with a digital camera. These data were collected to better understand how vertical canopy gradients in photosynthetic physiology change from the southernmost to the northernmost range extremes of white spruce. The data are provided in comma-separated value (CSV) format. proprietary
WhiteSpruce_Leaf_Traits_Alaska_2124_1 ABoVE: White Spruce Photosynthetic and Leaf Traits, Alaska and New York, 2017 ALL STAC Catalog 2017-06-19 2017-07-20 -149.75, 41.4, -74.02, 67.99 https://cmr.earthdata.nasa.gov/search/concepts/C2636355463-ORNL_CLOUD.umm_json This dataset provides measurements of gas exchange (light response curves, Kok curves and ACi curves), leaf traits (carbon, nitrogen, and specific leaf area), leaf pigments (Chlorophyll a, Chlorophyll b and Carotenoids), the photochemical reflectance index (PRI), and average photosynthetic photon flux density as collected from hemispherical photographs. Data were collected on white spruce trees (Picea glauca (Moench) Voss) growing at the northern edge of the species' distribution in Alaska and at the southern edge of the species' distribution in Black Rock Forest (BRF), New York. Measurements were taken at high and low canopy positions on each tree at both sites during the 2017 growing season (2017-06-19 to 2017-07-20). Gas exchange, leaf trait, pigment and spectral measurements were obtained using a portable photosynthesis system (LI-6800, LI-COR, Lincoln, NE). Photochemical reflectance index was determined using a spectroradiometer, and hemispherical photographs were taken with a digital camera. These data were collected to better understand how vertical canopy gradients in photosynthetic physiology change from the southernmost to the northernmost range extremes of white spruce. The data are provided in comma-separated value (CSV) format. proprietary
-Wildfire_Effects_Spruce_Field_1595_1 ABoVE: Characterization of Burned and Unburned Spruce Forest Sites, Tanana, AK, 2017 ALL STAC Catalog 2017-07-26 2017-07-28 -152.42, 65.1, -151.95, 65.23 https://cmr.earthdata.nasa.gov/search/concepts/C2162141870-ORNL_CLOUD.umm_json This dataset provides the results of field observations of soil characteristics and depth to permafrost, survey results for Composite Burn Index (CBI) determination, and Landsat-derived estimates of Relative Difference Normalized Burn Ratio (RdNBR) for 38 burned and unburned forest sites near Tanana, Alaska, in 2017. Forests in the study area, at the confluence of the Yukon and Tanana Rivers about 200 km west of Fairbanks, are predominately black spruce on wetter soils and white spruce on drier soils. The burned areas were from wildfires that occurred in the summer of 2015. proprietary
+WhiteSpruce_Leaf_Traits_Alaska_2124_1 ABoVE: White Spruce Photosynthetic and Leaf Traits, Alaska and New York, 2017 ORNL_CLOUD STAC Catalog 2017-06-19 2017-07-20 -149.75, 41.4, -74.02, 67.99 https://cmr.earthdata.nasa.gov/search/concepts/C2636355463-ORNL_CLOUD.umm_json This dataset provides measurements of gas exchange (light response curves, Kok curves and ACi curves), leaf traits (carbon, nitrogen, and specific leaf area), leaf pigments (Chlorophyll a, Chlorophyll b and Carotenoids), the photochemical reflectance index (PRI), and average photosynthetic photon flux density as collected from hemispherical photographs. Data were collected on white spruce trees (Picea glauca (Moench) Voss) growing at the northern edge of the species' distribution in Alaska and at the southern edge of the species' distribution in Black Rock Forest (BRF), New York. Measurements were taken at high and low canopy positions on each tree at both sites during the 2017 growing season (2017-06-19 to 2017-07-20). Gas exchange, leaf trait, pigment and spectral measurements were obtained using a portable photosynthesis system (LI-6800, LI-COR, Lincoln, NE). Photochemical reflectance index was determined using a spectroradiometer, and hemispherical photographs were taken with a digital camera. These data were collected to better understand how vertical canopy gradients in photosynthetic physiology change from the southernmost to the northernmost range extremes of white spruce. The data are provided in comma-separated value (CSV) format. proprietary
Wildfire_Effects_Spruce_Field_1595_1 ABoVE: Characterization of Burned and Unburned Spruce Forest Sites, Tanana, AK, 2017 ORNL_CLOUD STAC Catalog 2017-07-26 2017-07-28 -152.42, 65.1, -151.95, 65.23 https://cmr.earthdata.nasa.gov/search/concepts/C2162141870-ORNL_CLOUD.umm_json This dataset provides the results of field observations of soil characteristics and depth to permafrost, survey results for Composite Burn Index (CBI) determination, and Landsat-derived estimates of Relative Difference Normalized Burn Ratio (RdNBR) for 38 burned and unburned forest sites near Tanana, Alaska, in 2017. Forests in the study area, at the confluence of the Yukon and Tanana Rivers about 200 km west of Fairbanks, are predominately black spruce on wetter soils and white spruce on drier soils. The burned areas were from wildfires that occurred in the summer of 2015. proprietary
+Wildfire_Effects_Spruce_Field_1595_1 ABoVE: Characterization of Burned and Unburned Spruce Forest Sites, Tanana, AK, 2017 ALL STAC Catalog 2017-07-26 2017-07-28 -152.42, 65.1, -151.95, 65.23 https://cmr.earthdata.nasa.gov/search/concepts/C2162141870-ORNL_CLOUD.umm_json This dataset provides the results of field observations of soil characteristics and depth to permafrost, survey results for Composite Burn Index (CBI) determination, and Landsat-derived estimates of Relative Difference Normalized Burn Ratio (RdNBR) for 38 burned and unburned forest sites near Tanana, Alaska, in 2017. Forests in the study area, at the confluence of the Yukon and Tanana Rivers about 200 km west of Fairbanks, are predominately black spruce on wetter soils and white spruce on drier soils. The burned areas were from wildfires that occurred in the summer of 2015. proprietary
Wildfire_Impacts_Boreal_Ecosys_2359_1 Impacts of Wildfires on Boreal Forest Ecosystem Carbon Dynamics ORNL_CLOUD STAC Catalog 1986-01-01 2020-12-31 -166, 43.5, -53, 70 https://cmr.earthdata.nasa.gov/search/concepts/C3234724704-ORNL_CLOUD.umm_json This dataset contains simulations of net primary production (NPP), heterotrophic respiration (RH), net ecosystem production (NEP), and soil temperature data in North American boreal forests for the period 1986-2020. Data sources included historical fire sources and Landsat data. The delta Normalized Burn Ratio (dNBR), which can be used to represent burn severity for a fire, was calculated for each individual fire over the time period. The interactions between canopy, fire and soil thermal dynamics were modelled using a soil surface energy balance model incorporated into a previous Terrestrial Ecosystem Model (TEM). Using the revised TEM, two regional simulations were conducted with and without fire disturbance. Fire polygons were dissected into each unit with unique fire history and then intersected with each grid cell to measure fire impacts. The output values for each grid cell are the area-weighted mean of each fire polygon and unburned area within the cell. Two extra simulations without a canopy energy balance scheme were also conducted to quantify the impact of the canopy. Soil temperature was simulated with and without the canopy energy balance scheme in the model in addition to considering fire impacts. proprietary
-Wildfires_2014_NWT_Canada_1307_1 ABoVE: Burn Severity, Fire Progression, Landcover and Field Data, NWT, Canada, 2014 ORNL_CLOUD STAC Catalog 1997-07-07 2015-07-15 -121.6, 60.33, -110.68, 64.25 https://cmr.earthdata.nasa.gov/search/concepts/C2170968584-ORNL_CLOUD.umm_json This data set provides peatland landcover classification maps, fire progression maps, and vegetation community biophysical data collected from areas that were burned by wildfire in 2014 in the Northwest Territories, Canada. The peatland maps include peatland type (bog, fen, marsh, swamp) and level of biomass (open, forested). The fire progression maps enabled an assessment of wildfire progression rates at a daily time scale. Field data, collected in 2015, include an estimate of burn severity, woody seedling/sprouting data, soil moisture, and tree diameter and height of burned sites and similar vegetation characterization at landcover validation sites. proprietary
Wildfires_2014_NWT_Canada_1307_1 ABoVE: Burn Severity, Fire Progression, Landcover and Field Data, NWT, Canada, 2014 ALL STAC Catalog 1997-07-07 2015-07-15 -121.6, 60.33, -110.68, 64.25 https://cmr.earthdata.nasa.gov/search/concepts/C2170968584-ORNL_CLOUD.umm_json This data set provides peatland landcover classification maps, fire progression maps, and vegetation community biophysical data collected from areas that were burned by wildfire in 2014 in the Northwest Territories, Canada. The peatland maps include peatland type (bog, fen, marsh, swamp) and level of biomass (open, forested). The fire progression maps enabled an assessment of wildfire progression rates at a daily time scale. Field data, collected in 2015, include an estimate of burn severity, woody seedling/sprouting data, soil moisture, and tree diameter and height of burned sites and similar vegetation characterization at landcover validation sites. proprietary
-Wildfires_Date_of_Burning_1559_1.1 ABoVE: Wildfire Date of Burning within Fire Scars across Alaska and Canada, 2001-2019 ALL STAC Catalog 2001-01-01 2019-12-31 -178.84, 41.75, -53.83, 70.16 https://cmr.earthdata.nasa.gov/search/concepts/C2162122340-ORNL_CLOUD.umm_json This dataset provides estimates of wildfire progression represented by date of burning (DoB) within fire scars across Alaska and Canada for the period 2001-2019. Burn scar locations were obtained from two datasets: the Alaskan Interagency Coordination Center (AICC) and the Natural Resources Canada (NRC) databases. All scars within these databases were used in this study. The estimated DoB was derived using an algorithm for identifying the first fire occurrence from the Moderate Resolution Imaging Spectroradiometer (MODIS) active fire detection product (MCD14ML, Collection 6) and to subsequently determine all dates of burning within fire scars. The DoB data are provided as polygons and map the daily progression of a fire within each burn scar. As a result, there is one polygon for each DoB detected within an identified burn scar boundary. The MODIS active fire points associated with the burn scar data are also provided. Data for the period 2001-2015 were first published in 2017 and data for the period 2016-2019 were added in January 2021. proprietary
+Wildfires_2014_NWT_Canada_1307_1 ABoVE: Burn Severity, Fire Progression, Landcover and Field Data, NWT, Canada, 2014 ORNL_CLOUD STAC Catalog 1997-07-07 2015-07-15 -121.6, 60.33, -110.68, 64.25 https://cmr.earthdata.nasa.gov/search/concepts/C2170968584-ORNL_CLOUD.umm_json This data set provides peatland landcover classification maps, fire progression maps, and vegetation community biophysical data collected from areas that were burned by wildfire in 2014 in the Northwest Territories, Canada. The peatland maps include peatland type (bog, fen, marsh, swamp) and level of biomass (open, forested). The fire progression maps enabled an assessment of wildfire progression rates at a daily time scale. Field data, collected in 2015, include an estimate of burn severity, woody seedling/sprouting data, soil moisture, and tree diameter and height of burned sites and similar vegetation characterization at landcover validation sites. proprietary
Wildfires_Date_of_Burning_1559_1.1 ABoVE: Wildfire Date of Burning within Fire Scars across Alaska and Canada, 2001-2019 ORNL_CLOUD STAC Catalog 2001-01-01 2019-12-31 -178.84, 41.75, -53.83, 70.16 https://cmr.earthdata.nasa.gov/search/concepts/C2162122340-ORNL_CLOUD.umm_json This dataset provides estimates of wildfire progression represented by date of burning (DoB) within fire scars across Alaska and Canada for the period 2001-2019. Burn scar locations were obtained from two datasets: the Alaskan Interagency Coordination Center (AICC) and the Natural Resources Canada (NRC) databases. All scars within these databases were used in this study. The estimated DoB was derived using an algorithm for identifying the first fire occurrence from the Moderate Resolution Imaging Spectroradiometer (MODIS) active fire detection product (MCD14ML, Collection 6) and to subsequently determine all dates of burning within fire scars. The DoB data are provided as polygons and map the daily progression of a fire within each burn scar. As a result, there is one polygon for each DoB detected within an identified burn scar boundary. The MODIS active fire points associated with the burn scar data are also provided. Data for the period 2001-2015 were first published in 2017 and data for the period 2016-2019 were added in January 2021. proprietary
-Wildfires_NWT_Canada_1548_1 ABoVE: Burn Severity, Fire Progression, and Field Data, NWT, Canada, 2015-2016 ORNL_CLOUD STAC Catalog 2015-05-20 2016-08-08 -135.54, 59.93, -106.76, 68.33 https://cmr.earthdata.nasa.gov/search/concepts/C2162122286-ORNL_CLOUD.umm_json This data set provides a fire progression map for year 2015 and measures of burn severity and vegetation community biophysical data collected from areas that were burned by wildfires in 2014 and 2015 in the Northwest Territories, Canada. Field data collected in 2016 include an estimate of burn severity, woody seedling/sprouting data, soil moisture, peat depth, thaw depth, and vegetation cover for selected sites. proprietary
+Wildfires_Date_of_Burning_1559_1.1 ABoVE: Wildfire Date of Burning within Fire Scars across Alaska and Canada, 2001-2019 ALL STAC Catalog 2001-01-01 2019-12-31 -178.84, 41.75, -53.83, 70.16 https://cmr.earthdata.nasa.gov/search/concepts/C2162122340-ORNL_CLOUD.umm_json This dataset provides estimates of wildfire progression represented by date of burning (DoB) within fire scars across Alaska and Canada for the period 2001-2019. Burn scar locations were obtained from two datasets: the Alaskan Interagency Coordination Center (AICC) and the Natural Resources Canada (NRC) databases. All scars within these databases were used in this study. The estimated DoB was derived using an algorithm for identifying the first fire occurrence from the Moderate Resolution Imaging Spectroradiometer (MODIS) active fire detection product (MCD14ML, Collection 6) and to subsequently determine all dates of burning within fire scars. The DoB data are provided as polygons and map the daily progression of a fire within each burn scar. As a result, there is one polygon for each DoB detected within an identified burn scar boundary. The MODIS active fire points associated with the burn scar data are also provided. Data for the period 2001-2015 were first published in 2017 and data for the period 2016-2019 were added in January 2021. proprietary
Wildfires_NWT_Canada_1548_1 ABoVE: Burn Severity, Fire Progression, and Field Data, NWT, Canada, 2015-2016 ALL STAC Catalog 2015-05-20 2016-08-08 -135.54, 59.93, -106.76, 68.33 https://cmr.earthdata.nasa.gov/search/concepts/C2162122286-ORNL_CLOUD.umm_json This data set provides a fire progression map for year 2015 and measures of burn severity and vegetation community biophysical data collected from areas that were burned by wildfires in 2014 and 2015 in the Northwest Territories, Canada. Field data collected in 2016 include an estimate of burn severity, woody seedling/sprouting data, soil moisture, peat depth, thaw depth, and vegetation cover for selected sites. proprietary
-Wildfires_NWT_Canada_2018_1703_1 ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2018 ALL STAC Catalog 2018-08-12 2018-08-22 -117.43, 60.45, -113.42, 62.57 https://cmr.earthdata.nasa.gov/search/concepts/C2143403376-ORNL_CLOUD.umm_json This dataset provides vegetation community characteristics and biophysical data collected in 2018 from areas that were burned by wildfire in 2014 and 2015, and from nine unburned validation sites in the Northwest Territories, Canada. The data include vegetation inventories, ground cover, regrowth, tree diameter and height, and woody seedling/sprouting data at burned sites, and similar vegetation community characterization at unburned validation sites. Additional measurements included soil moisture, collected for validation of the UAVSAR airborne collection, and depth to frozen ground at the nine unburned sites. This 2018 fieldwork completes four years of field sampling at the wildfire areas. proprietary
+Wildfires_NWT_Canada_1548_1 ABoVE: Burn Severity, Fire Progression, and Field Data, NWT, Canada, 2015-2016 ORNL_CLOUD STAC Catalog 2015-05-20 2016-08-08 -135.54, 59.93, -106.76, 68.33 https://cmr.earthdata.nasa.gov/search/concepts/C2162122286-ORNL_CLOUD.umm_json This data set provides a fire progression map for year 2015 and measures of burn severity and vegetation community biophysical data collected from areas that were burned by wildfires in 2014 and 2015 in the Northwest Territories, Canada. Field data collected in 2016 include an estimate of burn severity, woody seedling/sprouting data, soil moisture, peat depth, thaw depth, and vegetation cover for selected sites. proprietary
Wildfires_NWT_Canada_2018_1703_1 ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2018 ORNL_CLOUD STAC Catalog 2018-08-12 2018-08-22 -117.43, 60.45, -113.42, 62.57 https://cmr.earthdata.nasa.gov/search/concepts/C2143403376-ORNL_CLOUD.umm_json This dataset provides vegetation community characteristics and biophysical data collected in 2018 from areas that were burned by wildfire in 2014 and 2015, and from nine unburned validation sites in the Northwest Territories, Canada. The data include vegetation inventories, ground cover, regrowth, tree diameter and height, and woody seedling/sprouting data at burned sites, and similar vegetation community characterization at unburned validation sites. Additional measurements included soil moisture, collected for validation of the UAVSAR airborne collection, and depth to frozen ground at the nine unburned sites. This 2018 fieldwork completes four years of field sampling at the wildfire areas. proprietary
-Wildfires_NWT_Canada_2019_1900_1 ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2019 ORNL_CLOUD STAC Catalog 2018-08-16 2019-09-05 -117.43, 60.92, -113.02, 62.57 https://cmr.earthdata.nasa.gov/search/concepts/C2445465291-ORNL_CLOUD.umm_json This dataset provides vegetation community characteristics, soil moisture, and biophysical data collected in 2019 from 11 study areas, which contained 28 sites that were burned by wildfires in 2014 and 2015, and 14 unburned sites in the Northwest Territories (NWT), Canada. Burn sites included peatland and upland. These field data include vegetation inventories, ground cover, as well as diameter and height for trees and shrubs in the unburned sites. Similar data were collected for the unburned sites in the years 2015-18 and are available in related separate datasets. In 2019, the focus was on woody and non-woody seedling/sprouting regrowth data in the burned sites. Additional measurements collected at all sites included total peat depth, soil moisture, and active layer thickness (ALT). Soil moisture and ALT were collected for validation of the UAVSAR airborne collection and Radarsat-2 overpasses. This 2019 fieldwork completes five years of field sampling at the wildfire areas. proprietary
+Wildfires_NWT_Canada_2018_1703_1 ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2018 ALL STAC Catalog 2018-08-12 2018-08-22 -117.43, 60.45, -113.42, 62.57 https://cmr.earthdata.nasa.gov/search/concepts/C2143403376-ORNL_CLOUD.umm_json This dataset provides vegetation community characteristics and biophysical data collected in 2018 from areas that were burned by wildfire in 2014 and 2015, and from nine unburned validation sites in the Northwest Territories, Canada. The data include vegetation inventories, ground cover, regrowth, tree diameter and height, and woody seedling/sprouting data at burned sites, and similar vegetation community characterization at unburned validation sites. Additional measurements included soil moisture, collected for validation of the UAVSAR airborne collection, and depth to frozen ground at the nine unburned sites. This 2018 fieldwork completes four years of field sampling at the wildfire areas. proprietary
Wildfires_NWT_Canada_2019_1900_1 ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2019 ALL STAC Catalog 2018-08-16 2019-09-05 -117.43, 60.92, -113.02, 62.57 https://cmr.earthdata.nasa.gov/search/concepts/C2445465291-ORNL_CLOUD.umm_json This dataset provides vegetation community characteristics, soil moisture, and biophysical data collected in 2019 from 11 study areas, which contained 28 sites that were burned by wildfires in 2014 and 2015, and 14 unburned sites in the Northwest Territories (NWT), Canada. Burn sites included peatland and upland. These field data include vegetation inventories, ground cover, as well as diameter and height for trees and shrubs in the unburned sites. Similar data were collected for the unburned sites in the years 2015-18 and are available in related separate datasets. In 2019, the focus was on woody and non-woody seedling/sprouting regrowth data in the burned sites. Additional measurements collected at all sites included total peat depth, soil moisture, and active layer thickness (ALT). Soil moisture and ALT were collected for validation of the UAVSAR airborne collection and Radarsat-2 overpasses. This 2019 fieldwork completes five years of field sampling at the wildfire areas. proprietary
+Wildfires_NWT_Canada_2019_1900_1 ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2019 ORNL_CLOUD STAC Catalog 2018-08-16 2019-09-05 -117.43, 60.92, -113.02, 62.57 https://cmr.earthdata.nasa.gov/search/concepts/C2445465291-ORNL_CLOUD.umm_json This dataset provides vegetation community characteristics, soil moisture, and biophysical data collected in 2019 from 11 study areas, which contained 28 sites that were burned by wildfires in 2014 and 2015, and 14 unburned sites in the Northwest Territories (NWT), Canada. Burn sites included peatland and upland. These field data include vegetation inventories, ground cover, as well as diameter and height for trees and shrubs in the unburned sites. Similar data were collected for the unburned sites in the years 2015-18 and are available in related separate datasets. In 2019, the focus was on woody and non-woody seedling/sprouting regrowth data in the burned sites. Additional measurements collected at all sites included total peat depth, soil moisture, and active layer thickness (ALT). Soil moisture and ALT were collected for validation of the UAVSAR airborne collection and Radarsat-2 overpasses. This 2019 fieldwork completes five years of field sampling at the wildfire areas. proprietary
Willow_Veg_Plots_1368_1 Arctic Vegetation Plots in Willow Communities, North Slope, Alaska, 1997 ORNL_CLOUD STAC Catalog 1997-07-09 1997-08-17 -149.85, 68.03, -148.08, 70.19 https://cmr.earthdata.nasa.gov/search/concepts/C2170969823-ORNL_CLOUD.umm_json This data set provides environmental, soil, and vegetation data collected in July and August 1997 from 85 study plots in willow shrub communities located along a north-south transect from the Brooks Range to Prudhoe Bay on the North Slope of Alaska. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in three broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species, cover, indices, and biomass pools; soil chemistry, physical characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping, and analysis of geobotanical factors in the region and across Alaska. proprietary
WindSat-REMSS-L3U-v7.0.1a_7.0.1a GHRSST Level 3U Global Subskin Sea Surface Temperature version7.0.1a from the WindSat Polarimetric Radiometer on the Coriolis satellite POCLOUD STAC Catalog 2002-06-01 2020-10-19 -179.99, -39.06, 180, 39.01 https://cmr.earthdata.nasa.gov/search/concepts/C2036878925-POCLOUD.umm_json "The WindSat Polarimetric Radiometer, launched on January 6, 2003 aboard the Department of Defense Coriolis satellite, was designed to measure the ocean surface wind vector from space. It developed by the Naval Research Laboratory (NRL) Remote Sensing Division and the Naval Center for Space Technology for the U.S. Navy and the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Integrated Program Office (IPO). In addition to wind speed and direction, the instrument can also measure sea surface temperature, soil moisture, ice and snow characteristics, water vapor, cloud liquid water, and rain rate. Unlike previous radiometers, the WindSat sensor takes observations during both the forward and aft looking scans. This makes the WindSat geometry of the earth view swath quite different and significantly more complicated to work with than the other passive microwave sensors. The Remote Sensing Systems (RSS, or REMSS) WindSat products are the only dataset available that uses both the fore and aft look directions. By using both directions, a wider swath and more complicated swath geometry is obtained. RSS providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of WindSat instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by ""rt"" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. ""Final"" data (currently identified by ""v7.0.1a"" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final ""v7.0.1a"" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 7 days. The version with letter ""a"" refers to the file incompliance with GHRSST format." proprietary
-Wolves_Denning_Pups_Climate_1846_1 ABoVE: Wolf Denning Phenology and Reproductive Success, Alaska and Canada, 2000-2017 ALL STAC Catalog 2000-03-29 2017-08-31 -154.58, 52.97, -112.97, 67.84 https://cmr.earthdata.nasa.gov/search/concepts/C2143401778-ORNL_CLOUD.umm_json This dataset provides annual gray wolf (Canis lupus) denning spatial information and timing, associated climatic and phenologic metrics, and reproductive success (i.e., pup survival) in wolf populations across areas of western Canada and Alaska within the NASA ABoVE Core Domain. The study encompasses 18 years between the period 2000-2017. Wolves were captured from eight populations following standard animal care protocols and released with Global Positioning System (GPS) collars. Data from 388 wolves were used to estimate den initiation dates (n=227 dens of 106 packs) and reproductive success in the eight populations. Each population was monitored from 1 to 12 years between 2000 and 2017. Denning parturition phenology was measured each year as the number of calendar days from January 1st to the initiation date of each documented denning event. Reproductive success was determined as to whether pups survived through the end of August following a reproductive event. To evaluate the effect of climate factors on reproductive phenology, aggregated seasonal climate metrics for temperature, precipitation, and snow water equivalent based on three biological seasons for seasonal wolf home ranges were produced. Normalized Difference Vegetation Index (NDVI) time-series data were used to estimate phenological metrics such as the start of the growing season (SOS), length of the growing season (LOS), and time-integrated NDVI (tiNDVI), and were summarized for the populations' home range. proprietary
Wolves_Denning_Pups_Climate_1846_1 ABoVE: Wolf Denning Phenology and Reproductive Success, Alaska and Canada, 2000-2017 ORNL_CLOUD STAC Catalog 2000-03-29 2017-08-31 -154.58, 52.97, -112.97, 67.84 https://cmr.earthdata.nasa.gov/search/concepts/C2143401778-ORNL_CLOUD.umm_json This dataset provides annual gray wolf (Canis lupus) denning spatial information and timing, associated climatic and phenologic metrics, and reproductive success (i.e., pup survival) in wolf populations across areas of western Canada and Alaska within the NASA ABoVE Core Domain. The study encompasses 18 years between the period 2000-2017. Wolves were captured from eight populations following standard animal care protocols and released with Global Positioning System (GPS) collars. Data from 388 wolves were used to estimate den initiation dates (n=227 dens of 106 packs) and reproductive success in the eight populations. Each population was monitored from 1 to 12 years between 2000 and 2017. Denning parturition phenology was measured each year as the number of calendar days from January 1st to the initiation date of each documented denning event. Reproductive success was determined as to whether pups survived through the end of August following a reproductive event. To evaluate the effect of climate factors on reproductive phenology, aggregated seasonal climate metrics for temperature, precipitation, and snow water equivalent based on three biological seasons for seasonal wolf home ranges were produced. Normalized Difference Vegetation Index (NDVI) time-series data were used to estimate phenological metrics such as the start of the growing season (SOS), length of the growing season (LOS), and time-integrated NDVI (tiNDVI), and were summarized for the populations' home range. proprietary
+Wolves_Denning_Pups_Climate_1846_1 ABoVE: Wolf Denning Phenology and Reproductive Success, Alaska and Canada, 2000-2017 ALL STAC Catalog 2000-03-29 2017-08-31 -154.58, 52.97, -112.97, 67.84 https://cmr.earthdata.nasa.gov/search/concepts/C2143401778-ORNL_CLOUD.umm_json This dataset provides annual gray wolf (Canis lupus) denning spatial information and timing, associated climatic and phenologic metrics, and reproductive success (i.e., pup survival) in wolf populations across areas of western Canada and Alaska within the NASA ABoVE Core Domain. The study encompasses 18 years between the period 2000-2017. Wolves were captured from eight populations following standard animal care protocols and released with Global Positioning System (GPS) collars. Data from 388 wolves were used to estimate den initiation dates (n=227 dens of 106 packs) and reproductive success in the eight populations. Each population was monitored from 1 to 12 years between 2000 and 2017. Denning parturition phenology was measured each year as the number of calendar days from January 1st to the initiation date of each documented denning event. Reproductive success was determined as to whether pups survived through the end of August following a reproductive event. To evaluate the effect of climate factors on reproductive phenology, aggregated seasonal climate metrics for temperature, precipitation, and snow water equivalent based on three biological seasons for seasonal wolf home ranges were produced. Normalized Difference Vegetation Index (NDVI) time-series data were used to estimate phenological metrics such as the start of the growing season (SOS), length of the growing season (LOS), and time-integrated NDVI (tiNDVI), and were summarized for the populations' home range. proprietary
WorldView-1.full.archive.and.tasking_8.0 WorldView-1 full archive and tasking ESA STAC Catalog 2007-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336959-ESA.umm_json "WorldView-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-1 offers archive and tasking panchromatic products up to 0.50 m GSD resolution. Band Combination Data Processing Level Resolution Panchromatic Standard(2A)/View Ready STANDARD (OR2A) 50 cm, 30 cm HD View Ready Stereo 50 cm Map-Ready (Ortho) 1:12.000 Orthorectified 50 cm, 30 cm HD Native 50 cm resolution products are processed with MAXAR HD Technology to generate the 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
WorldView-2.European.Cities_10.0 WorldView-2 European Cities ESA STAC Catalog 2010-07-20 2015-07-19 -19, -26, 35, 66 https://cmr.earthdata.nasa.gov/search/concepts/C1965336961-ESA.umm_json ESA, in collaboration with European Space Imaging, has collected this WorldView-2 dataset covering the most populated areas in Europe at 40 cm resolution. The products have been acquired between July 2010 and July 2015. proprietary
WorldView-2.full.archive.and.tasking_8.0 WorldView-2 full archive and tasking ESA STAC Catalog 2009-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336963-ESA.umm_json "WorldView-2 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-2 offers archive and tasking panchromatic products up to 0.46 m GSD resolution, and 4-Bands/8-Bands Multispectral products up to 1.84 m GSD resolution. Band Combination Data Processing Level Resolution Panchromatic and 4-bands Standard (2A)/View Ready Standard (OR2A) 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12.000 Orthorectified 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm 8-bands Standard(2A)/View Ready Standard (OR2A) 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12.000 Orthorectified 30 cm, 40 cm, 50/60 cm 4-Bands being an optional from: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1). 8-Bands being an optional from: 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2). Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels, improves the visual clarity and allows to obtain an aesthetically refined imagery with precise edges and well reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
@@ -16948,8 +16950,8 @@ WorldView-4.full.archive_7.0 WorldView-4 full archive ESA STAC Catalog 2016-12-0
WorldView.ESA.archive_9.0 WorldView ESA archive ESA STAC Catalog 2009-02-07 2020-12-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689694-ESA.umm_json "The WorldView ESA archive is composed of products acquired by WorldView-1, -2, -3 and -4 satellites and requested by ESA supported projects over their areas of interest around the world Panchromatic, 4-Bands, 8-Bands and SWIR products are part of the offer, with the resolution at Nadir depicted in the table. Band Combination Mission GSD Resolution at Nadir GSD Resolution (20° off nadir) Panchromatic WV-1 50 cm 55 cm WV-2 46 cm 52 cm WV-3 31 cm 34 cm WV-4 31 cm 34 cm 4-Bands WV-2 1.84 m 2.4 m WV-3 1.24 m 1.38 m WV-4 1.24 m 1.38 m 8-Bands WV-2 1.84 m 2.4 m WV-3 1.24 m 1.38 m SWIR WV-3 3.70 m 4.10 m The 4-Bands includes various options such as Multispectral (separate channel for Blue, Green, Red, NIR1), Pan-sharpened (Blue, Green, Red, NIR1), Bundle (separate bands for PAN, Blue, Green, Red, NIR1), Natural Colour (pan-sharpened Blue, Green, Red), Coloured Infrared (pan-sharpened Green, Red, NIR). The 8-Bands being an option from Multispectral (COASTAL, Blue, Green, Yellow, Red, Red EDGE, NIR1, NIR2) and Bundle (PAN, COASTAL, Blue, Green, Yellow, Red, Red EDGE, NIR1, NIR2). The processing levels are: Standard (2A): normalised for topographic relief View Ready Standard: ready for orthorectification (RPB files embedded) View Ready Stereo: collected in-track for stereo viewing and manipulation (not available for SWIR) Map Scale (Ortho) 1:12,000 Orthorectified: additional processing unnecessary Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/WorldView/ available on the Third Party Missions Dissemination Service. The following table summarises the offered product types EO-SIP Product Type Band Combination Processing Level Missions WV6_PAN_2A Panchromatic (PAN) Standard/View Ready Standard WorldView-1 and 4 WV6_PAN_OR Panchromatic (PAN) View Ready Stereo WorldView-1 and 4 WV6_PAN_MP Panchromatic (PAN) Map Scale Ortho WorldView-1 and 4 WV1_PAN__2A Panchromatic (PAN) Standard/View Ready Standard WorldView-2 and 3 WV1_PAN__OR Panchromatic (PAN) View Ready Stereo WorldView-2 and 3 WV1_PAN__MP Panchromatic (PAN) Map Scale Ortho WorldView-2 and 3 WV1_4B__2A 4-Band (4B) Standard/View Ready Standard WorldView-2, 3 and 4 WV1_4B__OR 4-Band (4B) View Ready Stereo WorldView-2, 3 and 4 WV1_4B__MP 4-Band (4B) Map Scale Ortho WorldView-2, 3 and 4 WV1_8B_2A 8-Band (8B) Standard/View Ready Standard WorldView-2 and 3 WV1_8B_OR 8-Band (8B) View Ready Stereo WorldView-2 and 3 WV1_8B_MP 8-Band (8B) Map Scale Ortho WorldView-2 and 3 WV1_S8B__2A SWIR Standard/View Ready Standard WorldView-3 WV1_S8B__MP SWIR Map Scale Ortho WorldView-3 As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
XAERDT_L2_ABI_G16_1 ABI/GOES-16 Dark Target Aerosol 10-Min L2 Full Disk 10 km ALL STAC Catalog 2019-01-01 2023-01-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859273114-LAADS.umm_json The ABI/GOES-16 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_ABI_G16 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 144 granules over the daylit hours of a 24-hour period. The Geostationary Operational Environmental Satellite – GOES-16 has been serving in the operational GOES-East position (near -75°W) since December 18, 2017. The GOES-16/ABI collection record spans from January 2019 through December 2022. The XAERDT_L2_ABI_G16 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_ABI_G16 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_ABI_G16 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
XAERDT_L2_ABI_G16_1 ABI/GOES-16 Dark Target Aerosol 10-Min L2 Full Disk 10 km LAADS STAC Catalog 2019-01-01 2023-01-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859273114-LAADS.umm_json The ABI/GOES-16 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_ABI_G16 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 144 granules over the daylit hours of a 24-hour period. The Geostationary Operational Environmental Satellite – GOES-16 has been serving in the operational GOES-East position (near -75°W) since December 18, 2017. The GOES-16/ABI collection record spans from January 2019 through December 2022. The XAERDT_L2_ABI_G16 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_ABI_G16 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_ABI_G16 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
-XAERDT_L2_ABI_G17_1 ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km ALL STAC Catalog 2019-01-01 2023-01-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859265967-LAADS.umm_json The ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_ABI_G17 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 144 granules over the daylit hours of a 24-hour period. The Geostationary Operational Environmental Satellite – GOES-17 served in the operational GOES-West position (near -137°W), from February 12, 2019, through January 4, 2023. The GOES-16/ABI collection record spans from January 2019 through December 2022. The XAERDT_L2_ABI_G17 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_ABI_G17 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_ABI_G17 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
XAERDT_L2_ABI_G17_1 ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km LAADS STAC Catalog 2019-01-01 2023-01-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859265967-LAADS.umm_json The ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_ABI_G17 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 144 granules over the daylit hours of a 24-hour period. The Geostationary Operational Environmental Satellite – GOES-17 served in the operational GOES-West position (near -137°W), from February 12, 2019, through January 4, 2023. The GOES-16/ABI collection record spans from January 2019 through December 2022. The XAERDT_L2_ABI_G17 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_ABI_G17 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_ABI_G17 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
+XAERDT_L2_ABI_G17_1 ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km ALL STAC Catalog 2019-01-01 2023-01-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859265967-LAADS.umm_json The ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_ABI_G17 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 144 granules over the daylit hours of a 24-hour period. The Geostationary Operational Environmental Satellite – GOES-17 served in the operational GOES-West position (near -137°W), from February 12, 2019, through January 4, 2023. The GOES-16/ABI collection record spans from January 2019 through December 2022. The XAERDT_L2_ABI_G17 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_ABI_G17 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_ABI_G17 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
XAERDT_L2_AHI_H08_1 AHI/Himawari-08 Dark Target Aerosol 10-Min L2 Full Disk 10 km LAADS STAC Catalog 2019-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859255251-LAADS.umm_json The AHI/Himawari-08 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_AHI_H08 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 142 granules over the daylit hours of a 24-hour period (there are no images produced at 02:20 or 14:20 UTC for navigation purposes). The Himawari-8 platform served in the operational Himawari position (near 140.7°E) between October 2014 and 13 December 2022. Himawari-9 replaced Himawari-8 and is currently operational. The Himawari-8/AHI collection record spans from January 2019 through 12th December 2022. The final 19 days of 2022 (December 13 through 31) are served by L2 products derived from the Himawari-9/AHI instrument. The XAERDT_L2_AHI_H08 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_AHI_H08 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_AHI_H08 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
XAERDT_L2_AHI_H08_1 AHI/Himawari-08 Dark Target Aerosol 10-Min L2 Full Disk 10 km ALL STAC Catalog 2019-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859255251-LAADS.umm_json The AHI/Himawari-08 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_AHI_H08 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 142 granules over the daylit hours of a 24-hour period (there are no images produced at 02:20 or 14:20 UTC for navigation purposes). The Himawari-8 platform served in the operational Himawari position (near 140.7°E) between October 2014 and 13 December 2022. Himawari-9 replaced Himawari-8 and is currently operational. The Himawari-8/AHI collection record spans from January 2019 through 12th December 2022. The final 19 days of 2022 (December 13 through 31) are served by L2 products derived from the Himawari-9/AHI instrument. The XAERDT_L2_AHI_H08 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_AHI_H08 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_AHI_H08 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
XAERDT_L2_AHI_H09_1 AHI/Himawari-09 Dark Target Aerosol 10-Min L2 Full Disk 10 km ALL STAC Catalog 2022-12-13 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859261579-LAADS.umm_json The AHI/Himawari-09 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_AHI_H09 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 142 granules over the daylit hours of a 24-hour period (there are no images produced at 02:20 or 14:20 UTC for navigation purposes). The Himawari-9 platform currently serves in the operational Himawari position (near 140.7°E) since it was launched November 2, 2016, and replaces Himawari-8. The Himawari-9/AHI collection record spans from 13th December 2022 through 31st December 2022. The XAERDT_L2_AHI_H09 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_AHI_H09 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_AHI_H09 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
@@ -16989,8 +16991,8 @@ aad_ais_gz_modis_slope_break_1 Amery Ice Shelf Grounding Zone defined as interpr
aad_ctd_database_1 Database of CTD data collected in the Southern Ocean by the AAD, ACE CRC and part of the Southern Ocean Atlas data set. AU_AADC STAC Catalog 1900-01-01 2003-03-09 -180, -80, 180, -15.05 https://cmr.earthdata.nasa.gov/search/concepts/C1214311486-AU_AADC.umm_json Microsoft Access database containing a compilation of CTD data collected in the Southern Ocean from Australian Antarctic Division (AAD), Antarctic Climate and Ecosystems Co-operative Research Centre (ACE CRC) and Hydrographic Atlas of the Southern Ocean (SOA) data sources. This SOA data contains discrete CTD (Conductivity, Temperature and Depth) station data along with a 1 x 1 degree gridded CTD data set interpolated in space and time. Parameters include pressure, temperature, salinity, dissolved oxygen, nutrients (phosphate, nitrate+nitrite, and silicate). Ocean Tools software developed by AAD is available in conjunction with this database to manipulate, extract and visualise data (including station map, transect selection, xy plots, vertical cross sections, geostrophic velocity/transport calculations). The download file contains an access database of the compiled CTD data, a word document containing further information about the structure of the database and the data (AAD CTD Data.doc), and a folder of the original source data, including readmes providing reference details, and specific information. proprietary
aae157df-5b91-4a49-b00b-d81729a566d7_NA TerraSAR-X - High Resolution Spotlight Images (TerraSAR-X High Resolution Spotlight) FEDEO STAC Catalog 2007-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207457996-FEDEO.umm_json "This collection contains radar image products of the German national TerraSAR-X mission acquired in High Resolution Spotlight mode. High Resolution Spotlight imaging allows for a spatial resolution of up to 1 m at a scene size of 10 km (across swath) x 5 km (in orbit direction). TerraSAR-X is a sun-synchronous polar-orbiting, all-weather, day-and-night X-band radar earth observation mission realized in the frame of a public-private partnership between the German Aerospace Center (DLR) and Airbus Defence and Space. For more information concerning the TerraSAR-X mission, the reader is referred to: https://www.dlr.de/content/de/missionen/terrasar-x.html" proprietary
aae643e1a7614c24b6b604dea82cad93_NA ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Optical ice velocity of the Kangerlussuaq Glacier between 2017-07-21 and 2017-08-20, generated using Sentinel-2 data, v1.1 FEDEO STAC Catalog 2017-07-20 2017-08-20 -80, 60, -10, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143151-FEDEO.umm_json This dataset contains optical ice velocity time series and seasonal product of the Kangerlussuaq Glacier in Greenland, derived from intensity-tracking of Sentinel-2 data acquired between 2017-07-21 and 2017-08-20. It has been produced as part of the ESA Greenland Ice sheet CCI project. The data are provided on a polar stereographic grid (EPSG 3413:Latitude of true scale 70N, Reference Longitude 45E) with 50m grid spacing. The horizontal velocity is provided in true meters per day, towards EASTING (x) and NORTHING (y) direction of the grid.The data have been produced by S[&]T Norway. proprietary
-aamhcpex_1 AAMH CPEX ALL STAC Catalog 2017-05-26 2017-07-16 154.716, 0.6408, -19.5629, 44.9689 https://cmr.earthdata.nasa.gov/search/concepts/C2645106424-GHRC_DAAC.umm_json The AAMH CPEX dataset contains products obtained from the MetOp-A, MetOp-B, NOAA-18, and NOAA-19 satellites. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May to 25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May to 24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 26, 2017, through July 15, 2017, and are available in netCDF-4 format. proprietary
aamhcpex_1 AAMH CPEX GHRC_DAAC STAC Catalog 2017-05-26 2017-07-16 154.716, 0.6408, -19.5629, 44.9689 https://cmr.earthdata.nasa.gov/search/concepts/C2645106424-GHRC_DAAC.umm_json The AAMH CPEX dataset contains products obtained from the MetOp-A, MetOp-B, NOAA-18, and NOAA-19 satellites. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May to 25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May to 24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 26, 2017, through July 15, 2017, and are available in netCDF-4 format. proprietary
+aamhcpex_1 AAMH CPEX ALL STAC Catalog 2017-05-26 2017-07-16 154.716, 0.6408, -19.5629, 44.9689 https://cmr.earthdata.nasa.gov/search/concepts/C2645106424-GHRC_DAAC.umm_json The AAMH CPEX dataset contains products obtained from the MetOp-A, MetOp-B, NOAA-18, and NOAA-19 satellites. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May to 25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May to 24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 26, 2017, through July 15, 2017, and are available in netCDF-4 format. proprietary
ab90030e26c54ba495b1cbec51e137e1_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (ADV algorithm), Version 2.31 FEDEO STAC Catalog 2002-07-24 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142756-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly gridded aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the ADV algorithm, version 2.31. Data is available for the period from 2002 to 2012.For further details about these data products please see the linked documentation. proprietary
above-and-below-ground-herbivore-communities-along-elevation_1.0 Above- and below-ground herbivore communities along elevation ALL STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814648-ENVIDAT.umm_json Despite the common role of above- and below-ground herbivore communities in mediating ecosystem functioning, our understanding of the variation of species communities along natural gradient is largely strongly biased toward aboveground organisms. This dataset enables to study the variations in assemblages of two dominant groups of herbivores, namely, aboveground orthoptera and belowground nematodes together with their food plants. Herbivores and plant surveys were conducted in 48 natural grasslands along six elevation gradients, selected to span the major macro-climatic and environmental conditions of the Swiss Alps. It compiles herbivores and plant surveys, information on the study sites as well as plant and herbivores functional traits sought to be involved in trophic interactions and to respond to climatic variation along the elevation. Plant functional traits considered are the SLA, the LDMC, the C/N content, the punch strength (i.e. force required to pierce the leave lamina), the mandibular strength for Orthoptera insect. Data were collected during the summer 2016 and 2017. proprietary
above-and-below-ground-herbivore-communities-along-elevation_1.0 Above- and below-ground herbivore communities along elevation ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814648-ENVIDAT.umm_json Despite the common role of above- and below-ground herbivore communities in mediating ecosystem functioning, our understanding of the variation of species communities along natural gradient is largely strongly biased toward aboveground organisms. This dataset enables to study the variations in assemblages of two dominant groups of herbivores, namely, aboveground orthoptera and belowground nematodes together with their food plants. Herbivores and plant surveys were conducted in 48 natural grasslands along six elevation gradients, selected to span the major macro-climatic and environmental conditions of the Swiss Alps. It compiles herbivores and plant surveys, information on the study sites as well as plant and herbivores functional traits sought to be involved in trophic interactions and to respond to climatic variation along the elevation. Plant functional traits considered are the SLA, the LDMC, the C/N content, the punch strength (i.e. force required to pierce the leave lamina), the mandibular strength for Orthoptera insect. Data were collected during the summer 2016 and 2017. proprietary
@@ -17005,38 +17007,38 @@ aces1am_1 ACES Aircraft and Mechanical Data ALL STAC Catalog 2002-07-10 2002-08-
aces1am_1 ACES Aircraft and Mechanical Data GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977826980-GHRC_DAAC.umm_json The ACES Aircraft and Mechanical Data consist of aircraft (e.g. pitch, roll, yaw) and mechanical (e.g. aircraft engine speed, tail commands, fuel levels) data recorded by the Altus II Unmanned Aerial Vehicle (Altus II UAV) system during the Altus Cumulus Electrification Study (ACES) based at the Naval Air Facility Key West in Florida. ACES aimed to provide extensive observations of the cloud electrification process and its effects by using the Altus II UAV to collect cloud top observations of thunderstorms. The campaign also worked to validate satellite lightning measurements. The Altus II aircraft and mechanical data files are available from July 10 through August 30, 2002 in MATLAB data format (.mat). proprietary
aces1cont_1 ACES CONTINUOUS DATA V1 GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977847043-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August, 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloudelectrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from seven instruments: the Slow/Fast antenna, Electric Field Mill, Dual Optical Pulse Sensor, Searchcoil Magnetometer, Accelerometers, Gerdien Conductivity Probe, and the Fluxgate Magnetometer. Data consists of sensor reads at 50HZ throughout the flight from all 64 channels. proprietary
aces1cont_1 ACES CONTINUOUS DATA V1 ALL STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977847043-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August, 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloudelectrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from seven instruments: the Slow/Fast antenna, Electric Field Mill, Dual Optical Pulse Sensor, Searchcoil Magnetometer, Accelerometers, Gerdien Conductivity Probe, and the Fluxgate Magnetometer. Data consists of sensor reads at 50HZ throughout the flight from all 64 channels. proprietary
-aces1efm_1 ACES ELECTRIC FIELD MILL V1 GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977847178-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from it's birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data from Electric Field Mills, which yield information about the atmospheric electrical fields above the instruments. proprietary
aces1efm_1 ACES ELECTRIC FIELD MILL V1 ALL STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977847178-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from it's birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data from Electric Field Mills, which yield information about the atmospheric electrical fields above the instruments. proprietary
-aces1log_1 ACES LOG DATA GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977853903-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of log data from each flight, and yields instrument and aircraft status throughout the flight. proprietary
+aces1efm_1 ACES ELECTRIC FIELD MILL V1 GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977847178-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from it's birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data from Electric Field Mills, which yield information about the atmospheric electrical fields above the instruments. proprietary
aces1log_1 ACES LOG DATA ALL STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977853903-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of log data from each flight, and yields instrument and aircraft status throughout the flight. proprietary
-aces1time_1 ACES TIMING DATA ALL STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977855412-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August or 2002, ACES researchers overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of timing data used for the experiment. When used it provides: syncclock_time = time found at the syncclock (VSI-SYnCCLOCK-32) in seconds from first file name, syncclock_m_time = time found at the syncclock (VSI-SYnCCLOCK-32) in Matlab dateform format, system_time = system time in seconds from first file name, system_m_time = system time in dateform format, gps_time = time found at the GPS unit in seconds from first file name, gps_m_time = time found at GPS unit in dateform, cmos_time = time found at the computer CMOS in seconds from first file name, cmos_m_time = time found at the computer CMOS in dateform. proprietary
+aces1log_1 ACES LOG DATA GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977853903-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of log data from each flight, and yields instrument and aircraft status throughout the flight. proprietary
aces1time_1 ACES TIMING DATA GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977855412-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August or 2002, ACES researchers overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of timing data used for the experiment. When used it provides: syncclock_time = time found at the syncclock (VSI-SYnCCLOCK-32) in seconds from first file name, syncclock_m_time = time found at the syncclock (VSI-SYnCCLOCK-32) in Matlab dateform format, system_time = system time in seconds from first file name, system_m_time = system time in dateform format, gps_time = time found at the GPS unit in seconds from first file name, gps_m_time = time found at GPS unit in dateform, cmos_time = time found at the computer CMOS in seconds from first file name, cmos_m_time = time found at the computer CMOS in dateform. proprietary
-aces1trig_1 ACES TRIGGERED DATA GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977858342-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from the following instruments: Slow/Fast antenna, Electric Field Mill, Optical Pulse Sensors, Searchcoil Magnetometer, Accelerometer, and Gerdien Conductivity Probe. These data were collected at 200KHz from the first 16 telemetry items collected on the aircraft, were initiated by an operator selected trigger (e.g. DOPS), and continued collecting for as long as the trigger continued. proprietary
+aces1time_1 ACES TIMING DATA ALL STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977855412-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August or 2002, ACES researchers overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of timing data used for the experiment. When used it provides: syncclock_time = time found at the syncclock (VSI-SYnCCLOCK-32) in seconds from first file name, syncclock_m_time = time found at the syncclock (VSI-SYnCCLOCK-32) in Matlab dateform format, system_time = system time in seconds from first file name, system_m_time = system time in dateform format, gps_time = time found at the GPS unit in seconds from first file name, gps_m_time = time found at GPS unit in dateform, cmos_time = time found at the computer CMOS in seconds from first file name, cmos_m_time = time found at the computer CMOS in dateform. proprietary
aces1trig_1 ACES TRIGGERED DATA ALL STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977858342-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from the following instruments: Slow/Fast antenna, Electric Field Mill, Optical Pulse Sensors, Searchcoil Magnetometer, Accelerometer, and Gerdien Conductivity Probe. These data were collected at 200KHz from the first 16 telemetry items collected on the aircraft, were initiated by an operator selected trigger (e.g. DOPS), and continued collecting for as long as the trigger continued. proprietary
-acoustic_charts_v6_1994_95_1 Acoustic Sounder Charts from Australian Antarctic Division Voyage 6 1994/95 (BANGSS) AU_AADC STAC Catalog 1995-02-06 1995-04-12 60, -69.393, 147.473, -42.882 https://cmr.earthdata.nasa.gov/search/concepts/C1214311712-AU_AADC.umm_json Acoustic sounder charts were collected at six locations during Australian Antarctic Division Voyage 6 1994/95 (BANGSS) using the Kongsberg EA200 Echo Sounder on the Aurora Australis. BANGSS is an acronym for Big ANtarctic Geological and Seismic Survey. The voyage began on 6 February 1995 and finished on 12 April 1995. Each chart is labelled with information about when and where the data was collected: date, time, latitude and longitude. The charts provide a profile of the sea floor and have a time axis with numbers in the following format. the first two digits are the day the next two digits are the month the next five digits are the time (UTC) the last ten digits are the maximum value on the depth axis eg 2402005 360000000500 means 24 February 5:36 UTC and the maximum value on the depth axis is 500 metres See a Related URL for a link to information about the voyage including the voyage report. proprietary
+aces1trig_1 ACES TRIGGERED DATA GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977858342-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from the following instruments: Slow/Fast antenna, Electric Field Mill, Optical Pulse Sensors, Searchcoil Magnetometer, Accelerometer, and Gerdien Conductivity Probe. These data were collected at 200KHz from the first 16 telemetry items collected on the aircraft, were initiated by an operator selected trigger (e.g. DOPS), and continued collecting for as long as the trigger continued. proprietary
acoustic_charts_v6_1994_95_1 Acoustic Sounder Charts from Australian Antarctic Division Voyage 6 1994/95 (BANGSS) ALL STAC Catalog 1995-02-06 1995-04-12 60, -69.393, 147.473, -42.882 https://cmr.earthdata.nasa.gov/search/concepts/C1214311712-AU_AADC.umm_json Acoustic sounder charts were collected at six locations during Australian Antarctic Division Voyage 6 1994/95 (BANGSS) using the Kongsberg EA200 Echo Sounder on the Aurora Australis. BANGSS is an acronym for Big ANtarctic Geological and Seismic Survey. The voyage began on 6 February 1995 and finished on 12 April 1995. Each chart is labelled with information about when and where the data was collected: date, time, latitude and longitude. The charts provide a profile of the sea floor and have a time axis with numbers in the following format. the first two digits are the day the next two digits are the month the next five digits are the time (UTC) the last ten digits are the maximum value on the depth axis eg 2402005 360000000500 means 24 February 5:36 UTC and the maximum value on the depth axis is 500 metres See a Related URL for a link to information about the voyage including the voyage report. proprietary
-acoustic_doppler_current_profiler_data_-_2010 Acoustic Doppler Current Profiler Data - 2010 SCIOPS STAC Catalog 2010-08-21 2010-09-17 -156, 70, -154, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214602088-SCIOPS.umm_json "Acoustic Doppler current profiler data were collected using a RD Instruments, 300 kHz ADCP that was mounted on an acoustic sled and towed alongside the R/V Annika Marie. Deployment was somewhat limited by weather, with higher sea states precluding use of the instrument. Data were processed by Frank Bahr at the Woods Hole Oceanographic Institution. Two files are included: A matlab file and a .zip file containing ascii files for each deployement. 2.) ascii format. The .mat file sos2010_dt.mat contains all deployments in the structure vm_data.
The format is described in a text variable ""readme"" contained in sos2010_dt.mat 2.) ascii format.
The data are also presented in ascii, with one data file per deployment, with files zipped together in to sos2010dt_ascii.zip.
The first line of each file gives the center depth of the ADCP bins in meters.
Note that both the bin depths as well as the number of bins may change
between deployments.
It is followed by one line per ADCP profile, listing
- profile time as year/month/day hour:min:sec,
- profile time in 2010 decimal days (noon on Jan 1 equals decimal day 0.5)
- longitude, latitude in decimal degrees
- N values of zonal velocity, positive eastward, where N is the number of bins
- N values of meridional velocity, positive northward
""Bad"" data are marked with the flag value 999.99." proprietary
+acoustic_charts_v6_1994_95_1 Acoustic Sounder Charts from Australian Antarctic Division Voyage 6 1994/95 (BANGSS) AU_AADC STAC Catalog 1995-02-06 1995-04-12 60, -69.393, 147.473, -42.882 https://cmr.earthdata.nasa.gov/search/concepts/C1214311712-AU_AADC.umm_json Acoustic sounder charts were collected at six locations during Australian Antarctic Division Voyage 6 1994/95 (BANGSS) using the Kongsberg EA200 Echo Sounder on the Aurora Australis. BANGSS is an acronym for Big ANtarctic Geological and Seismic Survey. The voyage began on 6 February 1995 and finished on 12 April 1995. Each chart is labelled with information about when and where the data was collected: date, time, latitude and longitude. The charts provide a profile of the sea floor and have a time axis with numbers in the following format. the first two digits are the day the next two digits are the month the next five digits are the time (UTC) the last ten digits are the maximum value on the depth axis eg 2402005 360000000500 means 24 February 5:36 UTC and the maximum value on the depth axis is 500 metres See a Related URL for a link to information about the voyage including the voyage report. proprietary
acoustic_doppler_current_profiler_data_-_2010 Acoustic Doppler Current Profiler Data - 2010 ALL STAC Catalog 2010-08-21 2010-09-17 -156, 70, -154, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214602088-SCIOPS.umm_json "Acoustic Doppler current profiler data were collected using a RD Instruments, 300 kHz ADCP that was mounted on an acoustic sled and towed alongside the R/V Annika Marie. Deployment was somewhat limited by weather, with higher sea states precluding use of the instrument. Data were processed by Frank Bahr at the Woods Hole Oceanographic Institution. Two files are included: A matlab file and a .zip file containing ascii files for each deployement. 2.) ascii format. The .mat file sos2010_dt.mat contains all deployments in the structure vm_data.
The format is described in a text variable ""readme"" contained in sos2010_dt.mat 2.) ascii format.
The data are also presented in ascii, with one data file per deployment, with files zipped together in to sos2010dt_ascii.zip.
The first line of each file gives the center depth of the ADCP bins in meters.
Note that both the bin depths as well as the number of bins may change
between deployments.
It is followed by one line per ADCP profile, listing
- profile time as year/month/day hour:min:sec,
- profile time in 2010 decimal days (noon on Jan 1 equals decimal day 0.5)
- longitude, latitude in decimal degrees
- N values of zonal velocity, positive eastward, where N is the number of bins
- N values of meridional velocity, positive northward
""Bad"" data are marked with the flag value 999.99." proprietary
+acoustic_doppler_current_profiler_data_-_2010 Acoustic Doppler Current Profiler Data - 2010 SCIOPS STAC Catalog 2010-08-21 2010-09-17 -156, 70, -154, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214602088-SCIOPS.umm_json "Acoustic Doppler current profiler data were collected using a RD Instruments, 300 kHz ADCP that was mounted on an acoustic sled and towed alongside the R/V Annika Marie. Deployment was somewhat limited by weather, with higher sea states precluding use of the instrument. Data were processed by Frank Bahr at the Woods Hole Oceanographic Institution. Two files are included: A matlab file and a .zip file containing ascii files for each deployement. 2.) ascii format. The .mat file sos2010_dt.mat contains all deployments in the structure vm_data.
The format is described in a text variable ""readme"" contained in sos2010_dt.mat 2.) ascii format.
The data are also presented in ascii, with one data file per deployment, with files zipped together in to sos2010dt_ascii.zip.
The first line of each file gives the center depth of the ADCP bins in meters.
Note that both the bin depths as well as the number of bins may change
between deployments.
It is followed by one line per ADCP profile, listing
- profile time as year/month/day hour:min:sec,
- profile time in 2010 decimal days (noon on Jan 1 equals decimal day 0.5)
- longitude, latitude in decimal degrees
- N values of zonal velocity, positive eastward, where N is the number of bins
- N values of meridional velocity, positive northward
""Bad"" data are marked with the flag value 999.99." proprietary
acoustic_doppler_current_profiler_data_-_2011 Acoustic Doppler Current Profiler Data - 2011 ALL STAC Catalog 2011-08-22 2011-09-13 -156, 70, -154, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214600594-SCIOPS.umm_json "Acoustic Doppler current profiler data were collected using a RD Instruments, 300 kHz ADCP that was mounted on an acoustic sled and towed alongside the R/V Annika Marie. Deployment was somewhat limited by weather, with higher sea states precluding use of the instrument. Data were processed by Frank Bahr at the Woods Hole Oceanographic Institution. Three files are included: A matlab file and .zip file and .tar files containing ascii files for each deployement. 1.) Matlab format. The .mat file sos2011_dt.mat contains all deployments in the structure vm_data.
The format is described in a text variable ""readme"" contained in sos2010_dt.mat 2.) ascii format.
The data are also presented in ascii, with one data file per deployment, with files zipped together in to sos2011dt_ascii.zip or sos2011dt_asc.tar.
The first line of each file gives the center depth of the ADCP bins in meters.
Note that both the bin depths as well as the number of bins may change
between deployments.
It is followed by one line per ADCP profile, listing
- profile time as year/month/day hour:min:sec,
- profile time in 2010 decimal days (noon on Jan 1 equals decimal day 0.5)
- longitude, latitude in decimal degrees
- N values of zonal velocity, positive eastward, where N is the number of bins
- N values of meridional velocity, positive northward
""Bad"" data are marked with the flag value 999.99." proprietary
acoustic_doppler_current_profiler_data_-_2011 Acoustic Doppler Current Profiler Data - 2011 SCIOPS STAC Catalog 2011-08-22 2011-09-13 -156, 70, -154, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214600594-SCIOPS.umm_json "Acoustic Doppler current profiler data were collected using a RD Instruments, 300 kHz ADCP that was mounted on an acoustic sled and towed alongside the R/V Annika Marie. Deployment was somewhat limited by weather, with higher sea states precluding use of the instrument. Data were processed by Frank Bahr at the Woods Hole Oceanographic Institution. Three files are included: A matlab file and .zip file and .tar files containing ascii files for each deployement. 1.) Matlab format. The .mat file sos2011_dt.mat contains all deployments in the structure vm_data.
The format is described in a text variable ""readme"" contained in sos2010_dt.mat 2.) ascii format.
The data are also presented in ascii, with one data file per deployment, with files zipped together in to sos2011dt_ascii.zip or sos2011dt_asc.tar.
The first line of each file gives the center depth of the ADCP bins in meters.
Note that both the bin depths as well as the number of bins may change
between deployments.
It is followed by one line per ADCP profile, listing
- profile time as year/month/day hour:min:sec,
- profile time in 2010 decimal days (noon on Jan 1 equals decimal day 0.5)
- longitude, latitude in decimal degrees
- N values of zonal velocity, positive eastward, where N is the number of bins
- N values of meridional velocity, positive northward
""Bad"" data are marked with the flag value 999.99." proprietary
-active_layer_arcss_grid_atqasuk_alaska_2010 Active Layer ARCSS grid Atqasuk, Alaska 2010 ALL STAC Catalog 2010-07-10 2010-08-16 -156, 70, -158, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214602289-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's long depth probe was used (orange tape on the handle). Data have been corrected by subtracting 3 cm from measurements made in the field to account for the missing tip of the probe. proprietary
active_layer_arcss_grid_atqasuk_alaska_2010 Active Layer ARCSS grid Atqasuk, Alaska 2010 SCIOPS STAC Catalog 2010-07-10 2010-08-16 -156, 70, -158, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214602289-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's long depth probe was used (orange tape on the handle). Data have been corrected by subtracting 3 cm from measurements made in the field to account for the missing tip of the probe. proprietary
-active_layer_arcss_grid_atqasuk_alaska_2011 Active Layer ARCSS grid Atqasuk, Alaska 2011 ALL STAC Catalog 2011-06-17 2011-08-12 -157, 70, -156, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600393-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Atqasuk, Alaska during the 2011 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's CALM depth probe was used to take the measurements. proprietary
+active_layer_arcss_grid_atqasuk_alaska_2010 Active Layer ARCSS grid Atqasuk, Alaska 2010 ALL STAC Catalog 2010-07-10 2010-08-16 -156, 70, -158, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214602289-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's long depth probe was used (orange tape on the handle). Data have been corrected by subtracting 3 cm from measurements made in the field to account for the missing tip of the probe. proprietary
active_layer_arcss_grid_atqasuk_alaska_2011 Active Layer ARCSS grid Atqasuk, Alaska 2011 SCIOPS STAC Catalog 2011-06-17 2011-08-12 -157, 70, -156, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600393-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Atqasuk, Alaska during the 2011 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's CALM depth probe was used to take the measurements. proprietary
+active_layer_arcss_grid_atqasuk_alaska_2011 Active Layer ARCSS grid Atqasuk, Alaska 2011 ALL STAC Catalog 2011-06-17 2011-08-12 -157, 70, -156, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600393-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Atqasuk, Alaska during the 2011 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's CALM depth probe was used to take the measurements. proprietary
active_layer_arcss_grid_atqasuk_alaska_2012 Active Layer ARCSS grid Atqasuk, Alaska 2012 ALL STAC Catalog 2012-06-09 2012-08-18 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214601993-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Atqasuk, Alaska during the 2012 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's CALM depth probe was used to take the measurements. proprietary
active_layer_arcss_grid_atqasuk_alaska_2012 Active Layer ARCSS grid Atqasuk, Alaska 2012 SCIOPS STAC Catalog 2012-06-09 2012-08-18 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214601993-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Atqasuk, Alaska during the 2012 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's CALM depth probe was used to take the measurements. proprietary
active_layer_arcss_grid_barrow_alaska_2010 Active Layer ARCSS grid Barrow, Alaska 2010 SCIOPS STAC Catalog 2010-06-30 2010-08-11 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600590-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's long depth probe was used (orange tape on the handle). Data have been corrected by subtracting 3 cm from measurements made in the field to account for the missing tip of the probe. proprietary
active_layer_arcss_grid_barrow_alaska_2010 Active Layer ARCSS grid Barrow, Alaska 2010 ALL STAC Catalog 2010-06-30 2010-08-11 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600590-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's long depth probe was used (orange tape on the handle). Data have been corrected by subtracting 3 cm from measurements made in the field to account for the missing tip of the probe. proprietary
-active_layer_arcss_grid_barrow_alaska_2011 Active Layer ARCSS grid Barrow, Alaska 2011 SCIOPS STAC Catalog 2011-06-14 2011-07-25 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600390-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's CALM depth probe was used. Depth was measured on the probe as the distance from the frozen active layer to the top of the surface of the vegetation. If water was present, then it was measured to the top of the biomass. proprietary
active_layer_arcss_grid_barrow_alaska_2011 Active Layer ARCSS grid Barrow, Alaska 2011 ALL STAC Catalog 2011-06-14 2011-07-25 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600390-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's CALM depth probe was used. Depth was measured on the probe as the distance from the frozen active layer to the top of the surface of the vegetation. If water was present, then it was measured to the top of the biomass. proprietary
+active_layer_arcss_grid_barrow_alaska_2011 Active Layer ARCSS grid Barrow, Alaska 2011 SCIOPS STAC Catalog 2011-06-14 2011-07-25 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600390-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's CALM depth probe was used. Depth was measured on the probe as the distance from the frozen active layer to the top of the surface of the vegetation. If water was present, then it was measured to the top of the biomass. proprietary
active_layer_arcss_grid_barrow_alaska_2012 Active Layer ARCSS grid Barrow, Alaska 2012 ALL STAC Catalog 2012-06-09 2012-08-18 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600333-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's CALM depth probe was used. Depth was measured on the probe as the distance from the frozen active layer to the top of the surface of the vegetation. If water was present, then it was measured to the top of the biomass. proprietary
active_layer_arcss_grid_barrow_alaska_2012 Active Layer ARCSS grid Barrow, Alaska 2012 SCIOPS STAC Catalog 2012-06-09 2012-08-18 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600333-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's CALM depth probe was used. Depth was measured on the probe as the distance from the frozen active layer to the top of the surface of the vegetation. If water was present, then it was measured to the top of the biomass. proprietary
-active_layer_nims_grid_atqasuk_alaska_2011 Active Layer NIMS grid Atqasuk, Alaska 2011 ALL STAC Catalog 2011-06-05 2011-08-12 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600341-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Atqasuk, Alaska throughout the 2011 summer field season. UTEP SELs CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
active_layer_nims_grid_atqasuk_alaska_2011 Active Layer NIMS grid Atqasuk, Alaska 2011 SCIOPS STAC Catalog 2011-06-05 2011-08-12 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600341-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Atqasuk, Alaska throughout the 2011 summer field season. UTEP SELs CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
-active_layer_nims_grid_atqasuk_alaska_2012 Active Layer NIMS grid Atqasuk, Alaska 2012 SCIOPS STAC Catalog 2012-06-09 2012-08-18 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600318-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Atqasuk, Alaska throughout the 2012 summer field season. UTEP SEL's CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
+active_layer_nims_grid_atqasuk_alaska_2011 Active Layer NIMS grid Atqasuk, Alaska 2011 ALL STAC Catalog 2011-06-05 2011-08-12 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600341-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Atqasuk, Alaska throughout the 2011 summer field season. UTEP SELs CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
active_layer_nims_grid_atqasuk_alaska_2012 Active Layer NIMS grid Atqasuk, Alaska 2012 ALL STAC Catalog 2012-06-09 2012-08-18 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600318-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Atqasuk, Alaska throughout the 2012 summer field season. UTEP SEL's CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
-active_layer_nims_grid_barrow_alaska_2011 Active Layer NIMS grid Barrow, Alaska 2011 SCIOPS STAC Catalog 2011-06-14 2011-08-09 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214602385-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Barrow, Alaska throughout the 2011 summer field season. UTEP SEL’s CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
+active_layer_nims_grid_atqasuk_alaska_2012 Active Layer NIMS grid Atqasuk, Alaska 2012 SCIOPS STAC Catalog 2012-06-09 2012-08-18 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600318-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Atqasuk, Alaska throughout the 2012 summer field season. UTEP SEL's CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
active_layer_nims_grid_barrow_alaska_2011 Active Layer NIMS grid Barrow, Alaska 2011 ALL STAC Catalog 2011-06-14 2011-08-09 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214602385-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Barrow, Alaska throughout the 2011 summer field season. UTEP SEL’s CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
+active_layer_nims_grid_barrow_alaska_2011 Active Layer NIMS grid Barrow, Alaska 2011 SCIOPS STAC Catalog 2011-06-14 2011-08-09 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214602385-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Barrow, Alaska throughout the 2011 summer field season. UTEP SEL’s CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
active_layer_nims_grid_barrow_alaska_2012 Active Layer NIMS grid Barrow, Alaska 2012 ALL STAC Catalog 2012-06-09 2012-08-18 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600541-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Barrow, Alaska throughout the 2012 summer field season. UTEP SELs CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
active_layer_nims_grid_barrow_alaska_2012 Active Layer NIMS grid Barrow, Alaska 2012 SCIOPS STAC Catalog 2012-06-09 2012-08-18 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600541-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Barrow, Alaska throughout the 2012 summer field season. UTEP SELs CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
ada968fd392d49fbbb07ac84eeb23ac6_NA ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Optical ice velocity of the Zachariae Glacier between 2017-06-25 and 2017-08-10, generated using Sentinel-2 data, v1.1 FEDEO STAC Catalog 2017-06-24 2017-08-10 -80, 60, -10, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142710-FEDEO.umm_json This dataset contains an optical ice velocity time series and seasonal product of the Zachariae Glacier in Greenland, derived from intensity-tracking of Sentinel-2 data acquired between 2017-06-25 and 2017-08-10. It has been produced as part of the ESA Greenland Ice Sheet CCI project.The data are provided on a polar stereographic grid (EPSG 3413:Latitude of true scale 70N, Reference Longitude 45E) with 50m grid spacing. The horizontal velocity is provided in true meters per day, towards EASTING (x) and NORTHING (y) direction of the grid. The product was generated by S[&]T Norway. proprietary
@@ -17044,15 +17046,15 @@ adaptive_long-term_fasting_in_land_and_ice-bound_polar_bears_data_table Adaptive
adaptive_long-term_fasting_in_land_and_ice-bound_polar_bears_data_table Adaptive long-term fasting in land and ice-bound polar bears: Data Table ALL STAC Catalog 2008-01-01 2011-12-31 -155, 70, -122, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1214602399-SCIOPS.umm_json The datasets in the data table have been collected as part of a project to understand how reduced sea ice cover in the Arctic will impact polar bear populations. Bears that stay ashore in summer have almost no access to food and tend to be inactive. Those that stay on the ice, however, have continued access to prey and make extensive movements. Over a three year period, scientists from the University of Wyoming and the U. S. Geological Service followed the movements of bears in both habitats and monitored their body temperature, muscle condition, blood chemistry, and metabolism. The physiological data will be added to spatially-explicit individual-based population models to predict population response to reduced ice cover. proprietary
adcp_2 Aurora Australis Southern Ocean ADCP data AU_AADC STAC Catalog 1994-12-13 1999-09-07 75, -69, 165, -41 https://cmr.earthdata.nasa.gov/search/concepts/C1214311719-AU_AADC.umm_json Acoustic Doppler current profiler (ADCP) measurements from a hull mounted 150 kHz narrow band ADCP unit were collected in the Southern Ocean from 1994 to 1999, on the following cruises: au9404, au9501, au9604, au9601, au9701, au9706, au9807 and au9901. The fields in this dataset are: Currents bottom depth cruise number ship speed time velocity GPS proprietary
add104f4c4454b629dbc7648efaa1b50_NA ESA Ozone Climate Change Initiative (Ozone CCI): ODIN/SMR (544.6 GHz) Level 3 Limb Ozone Monthly Zonal Mean (MZM) Profiles, Version 1 FEDEO STAC Catalog 2001-01-01 2013-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142584-FEDEO.umm_json This dataset comprises gridded limb ozone monthly zonal mean profiles from the ODIN/SMR (544.6 GHz) instrument. The data are zonal mean time series (10° latitude bin) and include uncertainty/variability of the Monthly Zonal Mean.The monthly zonal mean (MZM) data set provides ozone profiles averaged in 10° latitude zones from 90°S to 90°N, for each month. The monthly zonal mean data are structured into yearly netcdf files, for each instrument separately. The filename indicates the instrument and the year. For example, the file âESACCI-OZONE-L3-LP-MZM-SMR_ODIN-544_6_GHz-2008-fv0001.ncâ contains monthly zonal mean data for ODIN/SMR at 544.6GHz in 2008. proprietary
-adpe-aat-census_1 Adelie penguin census from records from 1931 to 2007 AAT region AU_AADC STAC Catalog 1931-02-13 2006-12-08 38.2, -69.6, 89.5, -65.8 https://cmr.earthdata.nasa.gov/search/concepts/C1214311746-AU_AADC.umm_json A catalogue of adelie penguin colony census records from 1931 to 2007 and limited geographically to the Australian Antarctic Territory (AAT). The present set is from 40E to Gaussberg (89E). The census records have been collected and compiled from a literature search. proprietary
adpe-aat-census_1 Adelie penguin census from records from 1931 to 2007 AAT region ALL STAC Catalog 1931-02-13 2006-12-08 38.2, -69.6, 89.5, -65.8 https://cmr.earthdata.nasa.gov/search/concepts/C1214311746-AU_AADC.umm_json A catalogue of adelie penguin colony census records from 1931 to 2007 and limited geographically to the Australian Antarctic Territory (AAT). The present set is from 40E to Gaussberg (89E). The census records have been collected and compiled from a literature search. proprietary
+adpe-aat-census_1 Adelie penguin census from records from 1931 to 2007 AAT region AU_AADC STAC Catalog 1931-02-13 2006-12-08 38.2, -69.6, 89.5, -65.8 https://cmr.earthdata.nasa.gov/search/concepts/C1214311746-AU_AADC.umm_json A catalogue of adelie penguin colony census records from 1931 to 2007 and limited geographically to the Australian Antarctic Territory (AAT). The present set is from 40E to Gaussberg (89E). The census records have been collected and compiled from a literature search. proprietary
adu_birp Animal Demography Unit - The Birds in Reserves Project (BIRP) CEOS_EXTRA STAC Catalog 1906-02-05 2007-05-20 16.46, -34.77, 32.86, -22.61 https://cmr.earthdata.nasa.gov/search/concepts/C2232477691-CEOS_EXTRA.umm_json BIRP is a joint project of BirdLife South Africa (BLSA), and the Animal Demography Unit (ADU), based at the University of Cape Town (UCT). The basic purpose of BIRP is to compile a comprehensive catalogue of the species of birds which occur and breed in South Africa’s many protected areas. A database of this kind will help to identify the species which are as yet not adequately protected and will also provide the managers of protected areas with information useful in setting management policies. proprietary
adu_cwac Animal Demography Unit - Coordinated Waterbird Counts (CWAC) CEOS_EXTRA STAC Catalog 1983-07-15 2006-09-30 16.46, -34.72, 32.88, -22.22 https://cmr.earthdata.nasa.gov/search/concepts/C2232477679-CEOS_EXTRA.umm_json The Coordinated Waterbird Counts (CWAC) project was launched in 1992. The objective of CWAC is to monitor South Africa's waterbird populations and the conditions of the wetlands which are important for waterbirds. This is being done by means of a programme of regular mid-summer and mid-winter censuses at a large number of South African wetlands. Regular six-monthly counts are conducted; however, we do encourage counters to survey their wetlands on a more regular basis as this provides better data. CWAC currently monitors over 400 wetlands around the country on a regular basis, and furthermore curates waterbird data for close to 600 wetlands. proprietary
adu_safring Animal Demography Unit - South African Bird Ringing Unit (SAFRING) CEOS_EXTRA STAC Catalog 1899-12-30 2004-12-31 -76.33, -71.9, 73.5, 72.25 https://cmr.earthdata.nasa.gov/search/concepts/C2232477669-CEOS_EXTRA.umm_json The South African Bird Ringing Unit (SAFRING) administers bird ringing in southern Africa, supplying rings, ringing equipment and services to volunteer and professional ringers in South Africa and neighbouring countries. All ringing records are curated by SAFRING, which is an essential arm of the Animal Demography Unit. Contact is maintained by the SAFRING Project Coordinator with all ringers (banders in North American or Australian terminology). The Bird Ringing Scheme in South Africa was initiated in 1948, so 1998 saw the 50th anniversary of the scheme. During this period over 1.7 million birds of 852 species were ringed. There have been a total of 16 800 ring recoveries since the inception of the scheme. This gives an overall recovery rate for rings in southern Africa of marginally less than 1%, averaged across all species. This probability varies enormously across species. proprietary
aerial_casa_2010_11_1 Aerial photography flown for the Australian Antarctic Division from CASA 212-400 aircraft, 2010-11 AU_AADC STAC Catalog 2011-01-02 2011-02-06 89.17, -72.37, 112.42, -65.69 https://cmr.earthdata.nasa.gov/search/concepts/C1214305645-AU_AADC.umm_json Digital aerial photography was flown by a contractor for the Australian Antarctic Division (AAD) from CASA 212-400 aircraft during the 2010-11 season. Photographs were taken for various projects or needs: Whales project requested by Natalie Kelly (Science Branch AAD and CSIRO); Cronk Islands, Knox Coast, Wilkes Coast - requested by Colin Southwell (Science Branch AAD, AAS project 2722) - the coverage also includes Bailey Peninsula and part of Clark Peninsula; Frazier Islands - requested by Ian Hay (Strategies Branch AAD, AAS project 3154); Aurora Basin - taken on the return flight from Dome C to Casey of Aurora Basin GC41 position 71 degrees 36'10''S, 111 degrees 15'46''E; Wilkins Aerodrome - to photograph runway and melt; Casey, Wilkes - requested by Gill Slocum (Strategies Branch AAD). The photographs were taken between 2 January 2011 and 6 February 2011. In most cases the images were georeferenced in the camera using the aircraft GPS. Vertical photographs were taken with an in floor camera system using a Nikon D200 digital camera and oblique photographs were taken using a handheld Nikon D700 digital camera in the cockpit. The set of images is too big for download but the images are available upon request from the Australian Antarctic Data Centre. Data extracted from the exif information of the images are available for download as csv files and, in some cases, shapefiles. These data include file name, date, camera, focal length, latitude, longitude and altitude. The images of the Cronk Islands and the Frazier Islands can be viewed in the Australian Antarctic Data Centre's Aerial Photograph Catalogue - see a Related URL below. The Film/Digital Series are ANTD1260 (Cronk Islands and Frazier Islands 2 January 2011) and ANTD1261 (Frazier Islands 23 January 2011). proprietary
aerial_casa_2010_11_1 Aerial photography flown for the Australian Antarctic Division from CASA 212-400 aircraft, 2010-11 ALL STAC Catalog 2011-01-02 2011-02-06 89.17, -72.37, 112.42, -65.69 https://cmr.earthdata.nasa.gov/search/concepts/C1214305645-AU_AADC.umm_json Digital aerial photography was flown by a contractor for the Australian Antarctic Division (AAD) from CASA 212-400 aircraft during the 2010-11 season. Photographs were taken for various projects or needs: Whales project requested by Natalie Kelly (Science Branch AAD and CSIRO); Cronk Islands, Knox Coast, Wilkes Coast - requested by Colin Southwell (Science Branch AAD, AAS project 2722) - the coverage also includes Bailey Peninsula and part of Clark Peninsula; Frazier Islands - requested by Ian Hay (Strategies Branch AAD, AAS project 3154); Aurora Basin - taken on the return flight from Dome C to Casey of Aurora Basin GC41 position 71 degrees 36'10''S, 111 degrees 15'46''E; Wilkins Aerodrome - to photograph runway and melt; Casey, Wilkes - requested by Gill Slocum (Strategies Branch AAD). The photographs were taken between 2 January 2011 and 6 February 2011. In most cases the images were georeferenced in the camera using the aircraft GPS. Vertical photographs were taken with an in floor camera system using a Nikon D200 digital camera and oblique photographs were taken using a handheld Nikon D700 digital camera in the cockpit. The set of images is too big for download but the images are available upon request from the Australian Antarctic Data Centre. Data extracted from the exif information of the images are available for download as csv files and, in some cases, shapefiles. These data include file name, date, camera, focal length, latitude, longitude and altitude. The images of the Cronk Islands and the Frazier Islands can be viewed in the Australian Antarctic Data Centre's Aerial Photograph Catalogue - see a Related URL below. The Film/Digital Series are ANTD1260 (Cronk Islands and Frazier Islands 2 January 2011) and ANTD1261 (Frazier Islands 23 January 2011). proprietary
-aerial_mosaics_macquarie_2017_2 Aerial photograph mosaics of The Isthmus at Macquarie Island, January and February 2017 AU_AADC STAC Catalog 2017-01-15 2017-02-15 158.874, -54.506, 158.954, -54.483 https://cmr.earthdata.nasa.gov/search/concepts/C1437176029-AU_AADC.umm_json One vertical and two oblique mosaics of The Isthmus at Macquarie Island were created from aerial photographs taken with a UAV (Unmanned Aerial Vehicle) during the course of Australian Antarctic Science Project 4340 in January and February 2017. The oblique mosaics include Wireless Hill and the northern end of the island's plateau. One oblique mosaic is a view from the eastern side of The Isthmus and the other is a view from the western side of The Isthmus. The photographs were taken by Murray Hamilton of the University of Adelaide using a DJI Phantom 3 Advanced UAV (under Monash University's Operators Certificate) which he was using to make temperature and humidity observations. They were taken when the UAV was waiting to descend and measure a temperature profile. The measuring instrument needed some time for the temperature to equilibrate after a rapid ascent. The photographs were taken by rotating the craft, taking snapshots every few tens of degrees. Hugin software was used to create the mosaics. The photographs for the vertical mosaic were taken on 15 January 2017 and the photographs for the oblique mosaics were taken on 7 February 2017 (view from east) and 15 February 2017 (view from west). The vertical mosaic was produced at the request of the Building Services Supervisor at the station. proprietary
aerial_mosaics_macquarie_2017_2 Aerial photograph mosaics of The Isthmus at Macquarie Island, January and February 2017 ALL STAC Catalog 2017-01-15 2017-02-15 158.874, -54.506, 158.954, -54.483 https://cmr.earthdata.nasa.gov/search/concepts/C1437176029-AU_AADC.umm_json One vertical and two oblique mosaics of The Isthmus at Macquarie Island were created from aerial photographs taken with a UAV (Unmanned Aerial Vehicle) during the course of Australian Antarctic Science Project 4340 in January and February 2017. The oblique mosaics include Wireless Hill and the northern end of the island's plateau. One oblique mosaic is a view from the eastern side of The Isthmus and the other is a view from the western side of The Isthmus. The photographs were taken by Murray Hamilton of the University of Adelaide using a DJI Phantom 3 Advanced UAV (under Monash University's Operators Certificate) which he was using to make temperature and humidity observations. They were taken when the UAV was waiting to descend and measure a temperature profile. The measuring instrument needed some time for the temperature to equilibrate after a rapid ascent. The photographs were taken by rotating the craft, taking snapshots every few tens of degrees. Hugin software was used to create the mosaics. The photographs for the vertical mosaic were taken on 15 January 2017 and the photographs for the oblique mosaics were taken on 7 February 2017 (view from east) and 15 February 2017 (view from west). The vertical mosaic was produced at the request of the Building Services Supervisor at the station. proprietary
+aerial_mosaics_macquarie_2017_2 Aerial photograph mosaics of The Isthmus at Macquarie Island, January and February 2017 AU_AADC STAC Catalog 2017-01-15 2017-02-15 158.874, -54.506, 158.954, -54.483 https://cmr.earthdata.nasa.gov/search/concepts/C1437176029-AU_AADC.umm_json One vertical and two oblique mosaics of The Isthmus at Macquarie Island were created from aerial photographs taken with a UAV (Unmanned Aerial Vehicle) during the course of Australian Antarctic Science Project 4340 in January and February 2017. The oblique mosaics include Wireless Hill and the northern end of the island's plateau. One oblique mosaic is a view from the eastern side of The Isthmus and the other is a view from the western side of The Isthmus. The photographs were taken by Murray Hamilton of the University of Adelaide using a DJI Phantom 3 Advanced UAV (under Monash University's Operators Certificate) which he was using to make temperature and humidity observations. They were taken when the UAV was waiting to descend and measure a temperature profile. The measuring instrument needed some time for the temperature to equilibrate after a rapid ascent. The photographs were taken by rotating the craft, taking snapshots every few tens of degrees. Hugin software was used to create the mosaics. The photographs for the vertical mosaic were taken on 15 January 2017 and the photographs for the oblique mosaics were taken on 7 February 2017 (view from east) and 15 February 2017 (view from west). The vertical mosaic was produced at the request of the Building Services Supervisor at the station. proprietary
aerial_photo_sea_ice_1 Aerial photographs of sea ice flown by the Australian Antarctic Division AU_AADC STAC Catalog 2003-09-10 -58.2, -69.67, 118.85, -64.03 https://cmr.earthdata.nasa.gov/search/concepts/C1214305646-AU_AADC.umm_json The Australian Antarctic Division acquired aerial photographs of sea ice from helicopters using a digital Nikon D1X digital camera during the following voyages: Australian Antarctic Division voyage 1 2003/04 - Antarctic Remote Ice Sensing Experiment (ARISE); Alfred Wegener Institute Ice Station Polarstern (ISPOL) voyage 2004/05; and Australian Antarctic Division voyage 1 2007/08 - Sea Ice Physics and Ecosystems Experiment (SIPEX). Voyage dates: ARISE: 10 Sep 2003 to 31 Oct 2003 ISPOL: 6 Nov 2004 to 19 Jan 2005 SIPEX: 29 Aug 2007 to 16 Oct 2007 SIPEX II: 25 Sep 2012 to 6 Nov 2012 The child records include the urls of web pages with information about these voyages, urls for requesting for the photographs and urls for downloading information about the photographs. proprietary
aerial_photo_sea_ice_1 Aerial photographs of sea ice flown by the Australian Antarctic Division ALL STAC Catalog 2003-09-10 -58.2, -69.67, 118.85, -64.03 https://cmr.earthdata.nasa.gov/search/concepts/C1214305646-AU_AADC.umm_json The Australian Antarctic Division acquired aerial photographs of sea ice from helicopters using a digital Nikon D1X digital camera during the following voyages: Australian Antarctic Division voyage 1 2003/04 - Antarctic Remote Ice Sensing Experiment (ARISE); Alfred Wegener Institute Ice Station Polarstern (ISPOL) voyage 2004/05; and Australian Antarctic Division voyage 1 2007/08 - Sea Ice Physics and Ecosystems Experiment (SIPEX). Voyage dates: ARISE: 10 Sep 2003 to 31 Oct 2003 ISPOL: 6 Nov 2004 to 19 Jan 2005 SIPEX: 29 Aug 2007 to 16 Oct 2007 SIPEX II: 25 Sep 2012 to 6 Nov 2012 The child records include the urls of web pages with information about these voyages, urls for requesting for the photographs and urls for downloading information about the photographs. proprietary
aerial_photo_sea_ice_ARISE_1 Aerial photographs of sea ice flown by the Australian Antarctic Division on the ARISE voyage in 2003 AU_AADC STAC Catalog 2003-09-10 2003-10-31 109.1, -66.7, 118.85, -64.03 https://cmr.earthdata.nasa.gov/search/concepts/C1292611591-AU_AADC.umm_json The Australian Antarctic Division acquired aerial photographs of sea ice from helicopters using a digital Nikon D1X digital camera during Australian Antarctic Division voyage 1 2003/04 - Antarctic Remote Ice Sensing Experiment (ARISE), 10 Sep 2003 to 31 Oct 2003. The Related URLs in this metadata record include the urls of web pages with information about the voyage, urls for requesting for the photographs and urls for downloading information about the photographs. The ARISE aerial photographs of sea ice are part of the Australian Antarctic Data Centre's collection of aerial photographs which is described by the metadata record 'The collection of aerial photographs held by the Australian Antarctic Data Centre' with Entry ID: aerial_photo_gis. The collection can be searched in the Australian Antarctic Data Centre's Aerial Photograph Catalogue - see Related URLs. Select ARISE from the Aerial Photography Series picklist. Preview images of the photos may be viewed using this search. Digital flight lines and photo centres representing the runs along which the photographs were taken and the centres of the photographs are the basis of the catalogue. The flight lines and photo centres for ARISE are available for download as shapefiles - see metadata record ID: aerial_photo_sea_ice_shapefiles. proprietary
@@ -17064,14 +17066,14 @@ aerial_photo_sea_ice_SIPEX_1 Aerial photographs of sea ice flown by the Australi
aerial_photo_sea_ice_shapefiles_1 Flight lines and photo centres of aerial photographs of sea ice flown by the Australian Antarctic Division on the ARISE and ISPOL voyages in 2003 and 2004 AU_AADC STAC Catalog 2003-09-10 2005-01-19 -58.2, -69.67, 118.85, -64.03 https://cmr.earthdata.nasa.gov/search/concepts/C1292611653-AU_AADC.umm_json The Australian Antarctic Division acquired aerial photographs of sea ice from helicopters using a digital Nikon D1X digital camera during the following voyages: Australian Antarctic Division voyage 1 2003/04 - Antarctic Remote Ice Sensing Experiment (ARISE); Alfred Wegener Institute Ice Station Polarstern (ISPOL) voyage 2004/05. Voyage dates: ARISE: 10 Sep 2003 to 31 Oct 2003 ISPOL: 6 Nov 2004 to 19 Jan 2005 The ARISE and ISPOL aerial photographs of sea ice are part of the Australian Antarctic Data Centre's collection of aerial photographs which is described by the metadata record 'The collection of aerial photographs held by the Australian Antarctic Data Centre' with Entry ID: aerial_photo_gis. Digital flight lines and photo centres representing the runs along which the photographs were taken and the centres of the photographs are the basis of the catalogue. proprietary
aerial_photographs_from_columbia_glacier_1976-2010 Aerial Photographs from Columbia Glacier, 1976-2010 SCIOPS STAC Catalog 1976-07-24 2011-06-15 -146.895, 61.22, -146.895, 61.22 https://cmr.earthdata.nasa.gov/search/concepts/C1214600568-SCIOPS.umm_json Aerial stereophotography missions were flown at least once every year over the Columbia Glacier in 1976-2010, and documented further in the Aerial Inventory. Flight data include all existing scans of the large format diapositives and their derived data products from 2002-2010.
This dataset consists of scanned aerial diapositives in high resolution from a photogrammetric scanner and low resolution JPEG previews. The data are collected into TAR files by year. Data gathered during 2002-2003 are collected into TAR files by day and part (e.g. 20020826_01.tar).
proprietary
aerial_photographs_from_columbia_glacier_1976-2010 Aerial Photographs from Columbia Glacier, 1976-2010 ALL STAC Catalog 1976-07-24 2011-06-15 -146.895, 61.22, -146.895, 61.22 https://cmr.earthdata.nasa.gov/search/concepts/C1214600568-SCIOPS.umm_json Aerial stereophotography missions were flown at least once every year over the Columbia Glacier in 1976-2010, and documented further in the Aerial Inventory. Flight data include all existing scans of the large format diapositives and their derived data products from 2002-2010.
This dataset consists of scanned aerial diapositives in high resolution from a photogrammetric scanner and low resolution JPEG previews. The data are collected into TAR files by year. Data gathered during 2002-2003 are collected into TAR files by day and part (e.g. 20020826_01.tar).
proprietary
-aerial_rpa_nov2016_1 Aerial photographs of Davis and Heidemann Valley taken with Remotely Piloted Aircraft, November 2016 ALL STAC Catalog 2016-11-07 2016-11-20 77.9619, -68.5811, 78.0131, -68.5731 https://cmr.earthdata.nasa.gov/search/concepts/C1367275166-AU_AADC.umm_json The Australian Antarcic Division (AAD) contracted Helicopter Resources to fly remotely piloted aircraft (RPA) on Voyage 1 2016/17. The RPA were used to take aerial photographs for sea ice reconnaisance from the RSV Aurora Australis, aerial photographs of Davis, aerial photographs for building roof inspections at Davis and aerial photographs of part of Heidemann Valley. Video was also recorded from the RSV Aurora Australis and of Heidemann Valley. The flights over Heidemann Valley were done at the request of the AAD's Antarctic Modernisation Taskforce. The roof inspections were done at the request of the AAD's Infrastructure section. The following can be downloaded or requested from this metadata record by AAD staff only (see Related URLs): 1 A report prepared by Doug Thost, the chief RPA pilot; 2 The aerial photographs of Davis and Heidemann Valley; and 3 Some panoramas created from aerial photographs taken at Davis. The AAD's Multimedia section have a copy of the videos. The AAD's Infrastructure section have a copy of the aerial photographs taken for roof inspections. See the report for further details. proprietary
aerial_rpa_nov2016_1 Aerial photographs of Davis and Heidemann Valley taken with Remotely Piloted Aircraft, November 2016 AU_AADC STAC Catalog 2016-11-07 2016-11-20 77.9619, -68.5811, 78.0131, -68.5731 https://cmr.earthdata.nasa.gov/search/concepts/C1367275166-AU_AADC.umm_json The Australian Antarcic Division (AAD) contracted Helicopter Resources to fly remotely piloted aircraft (RPA) on Voyage 1 2016/17. The RPA were used to take aerial photographs for sea ice reconnaisance from the RSV Aurora Australis, aerial photographs of Davis, aerial photographs for building roof inspections at Davis and aerial photographs of part of Heidemann Valley. Video was also recorded from the RSV Aurora Australis and of Heidemann Valley. The flights over Heidemann Valley were done at the request of the AAD's Antarctic Modernisation Taskforce. The roof inspections were done at the request of the AAD's Infrastructure section. The following can be downloaded or requested from this metadata record by AAD staff only (see Related URLs): 1 A report prepared by Doug Thost, the chief RPA pilot; 2 The aerial photographs of Davis and Heidemann Valley; and 3 Some panoramas created from aerial photographs taken at Davis. The AAD's Multimedia section have a copy of the videos. The AAD's Infrastructure section have a copy of the aerial photographs taken for roof inspections. See the report for further details. proprietary
-aerial_surveys_vestfold_2017-18_1 Aerial surveys of Davis station and an area of the Vestfold Hills to the north-east of the station 2017/18 ALL STAC Catalog 2017-11-19 2018-01-31 77.8923, -68.6067, 78.2235, -68.4809 https://cmr.earthdata.nasa.gov/search/concepts/C1542262550-AU_AADC.umm_json "Three aerial surveys were flown by Helicopter Resources Pty Ltd for the Australian Antarctic Division's Antarctic Modernisation Taskforce during the 2017/18 field season. The photography was done from a helicopter and covered Davis station and an area of the Vestfold Hills to the north-east of the station. The first survey conducted on 19 November 2017 covered an inner higher resolution area with flying heights approximately 300 to 400 metres above sea level. The second survey conducted on 20 November 2017 covered a more extensive area at lower resolution with flying heights approximately 800 metres above sea level. The third survey was conducted on 31 January 2018 over a similar area to the first survey with flying heights approximately 300 to 400 metres above sea level. The report on the third survey states ""As a general comment, in comparison to Survey 1, this survey was flown more accurately, in better lighting conditions, with less snow cover, and by all statistical metrics has resulted in a higher quality survey overall."" The spatial extents given in this metadata record are for the second survey. For each survey there is zip file with a report and the following products generated from the survey data: (i) an orthophoto; (ii) a Digital Surface Model (DSM); and (iii) contours generated from the DSM. The products are stored in the UTM zone 44S coordinate system, based on the horizontal datum ITRF2000. Elevations are in metres above Mean Sea Level. There is also a separate zip file with the aerial photographs from the three surveys and a spreadsheet with latitude and longitude for each photo centre. Ground control points were used to constrain the DSM for each survey. One metre by one metre cross markers were set out across the survey area prior to the aerial surveys being flown. The centre of each cross was surveyed by Australian Defence Force surveyors Sam Kelly and Warwick Cox. Some permanent survey marks were used as an independent check of the overall accuracy of the DSM." proprietary
+aerial_rpa_nov2016_1 Aerial photographs of Davis and Heidemann Valley taken with Remotely Piloted Aircraft, November 2016 ALL STAC Catalog 2016-11-07 2016-11-20 77.9619, -68.5811, 78.0131, -68.5731 https://cmr.earthdata.nasa.gov/search/concepts/C1367275166-AU_AADC.umm_json The Australian Antarcic Division (AAD) contracted Helicopter Resources to fly remotely piloted aircraft (RPA) on Voyage 1 2016/17. The RPA were used to take aerial photographs for sea ice reconnaisance from the RSV Aurora Australis, aerial photographs of Davis, aerial photographs for building roof inspections at Davis and aerial photographs of part of Heidemann Valley. Video was also recorded from the RSV Aurora Australis and of Heidemann Valley. The flights over Heidemann Valley were done at the request of the AAD's Antarctic Modernisation Taskforce. The roof inspections were done at the request of the AAD's Infrastructure section. The following can be downloaded or requested from this metadata record by AAD staff only (see Related URLs): 1 A report prepared by Doug Thost, the chief RPA pilot; 2 The aerial photographs of Davis and Heidemann Valley; and 3 Some panoramas created from aerial photographs taken at Davis. The AAD's Multimedia section have a copy of the videos. The AAD's Infrastructure section have a copy of the aerial photographs taken for roof inspections. See the report for further details. proprietary
aerial_surveys_vestfold_2017-18_1 Aerial surveys of Davis station and an area of the Vestfold Hills to the north-east of the station 2017/18 AU_AADC STAC Catalog 2017-11-19 2018-01-31 77.8923, -68.6067, 78.2235, -68.4809 https://cmr.earthdata.nasa.gov/search/concepts/C1542262550-AU_AADC.umm_json "Three aerial surveys were flown by Helicopter Resources Pty Ltd for the Australian Antarctic Division's Antarctic Modernisation Taskforce during the 2017/18 field season. The photography was done from a helicopter and covered Davis station and an area of the Vestfold Hills to the north-east of the station. The first survey conducted on 19 November 2017 covered an inner higher resolution area with flying heights approximately 300 to 400 metres above sea level. The second survey conducted on 20 November 2017 covered a more extensive area at lower resolution with flying heights approximately 800 metres above sea level. The third survey was conducted on 31 January 2018 over a similar area to the first survey with flying heights approximately 300 to 400 metres above sea level. The report on the third survey states ""As a general comment, in comparison to Survey 1, this survey was flown more accurately, in better lighting conditions, with less snow cover, and by all statistical metrics has resulted in a higher quality survey overall."" The spatial extents given in this metadata record are for the second survey. For each survey there is zip file with a report and the following products generated from the survey data: (i) an orthophoto; (ii) a Digital Surface Model (DSM); and (iii) contours generated from the DSM. The products are stored in the UTM zone 44S coordinate system, based on the horizontal datum ITRF2000. Elevations are in metres above Mean Sea Level. There is also a separate zip file with the aerial photographs from the three surveys and a spreadsheet with latitude and longitude for each photo centre. Ground control points were used to constrain the DSM for each survey. One metre by one metre cross markers were set out across the survey area prior to the aerial surveys being flown. The centre of each cross was surveyed by Australian Defence Force surveyors Sam Kelly and Warwick Cox. Some permanent survey marks were used as an independent check of the overall accuracy of the DSM." proprietary
-aerosol-data-davos-wolfgang_1.0 Aerosol Data Davos Wolfgang ENVIDAT STAC Catalog 2020-01-01 2020-01-01 9.853594, 46.835577, 9.853594, 46.835577 https://cmr.earthdata.nasa.gov/search/concepts/C2789814678-ENVIDAT.umm_json Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs) and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room. Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0). Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³). Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3788 , TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³). Coriolis μ and DRINCZ: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l minˉ¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the DRoplet Ice Nuclei Counter Zurich (DRINCZ, ETH Zurich) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles. proprietary
+aerial_surveys_vestfold_2017-18_1 Aerial surveys of Davis station and an area of the Vestfold Hills to the north-east of the station 2017/18 ALL STAC Catalog 2017-11-19 2018-01-31 77.8923, -68.6067, 78.2235, -68.4809 https://cmr.earthdata.nasa.gov/search/concepts/C1542262550-AU_AADC.umm_json "Three aerial surveys were flown by Helicopter Resources Pty Ltd for the Australian Antarctic Division's Antarctic Modernisation Taskforce during the 2017/18 field season. The photography was done from a helicopter and covered Davis station and an area of the Vestfold Hills to the north-east of the station. The first survey conducted on 19 November 2017 covered an inner higher resolution area with flying heights approximately 300 to 400 metres above sea level. The second survey conducted on 20 November 2017 covered a more extensive area at lower resolution with flying heights approximately 800 metres above sea level. The third survey was conducted on 31 January 2018 over a similar area to the first survey with flying heights approximately 300 to 400 metres above sea level. The report on the third survey states ""As a general comment, in comparison to Survey 1, this survey was flown more accurately, in better lighting conditions, with less snow cover, and by all statistical metrics has resulted in a higher quality survey overall."" The spatial extents given in this metadata record are for the second survey. For each survey there is zip file with a report and the following products generated from the survey data: (i) an orthophoto; (ii) a Digital Surface Model (DSM); and (iii) contours generated from the DSM. The products are stored in the UTM zone 44S coordinate system, based on the horizontal datum ITRF2000. Elevations are in metres above Mean Sea Level. There is also a separate zip file with the aerial photographs from the three surveys and a spreadsheet with latitude and longitude for each photo centre. Ground control points were used to constrain the DSM for each survey. One metre by one metre cross markers were set out across the survey area prior to the aerial surveys being flown. The centre of each cross was surveyed by Australian Defence Force surveyors Sam Kelly and Warwick Cox. Some permanent survey marks were used as an independent check of the overall accuracy of the DSM." proprietary
aerosol-data-davos-wolfgang_1.0 Aerosol Data Davos Wolfgang ALL STAC Catalog 2020-01-01 2020-01-01 9.853594, 46.835577, 9.853594, 46.835577 https://cmr.earthdata.nasa.gov/search/concepts/C2789814678-ENVIDAT.umm_json Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs) and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room. Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0). Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³). Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3788 , TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³). Coriolis μ and DRINCZ: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l minˉ¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the DRoplet Ice Nuclei Counter Zurich (DRINCZ, ETH Zurich) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles. proprietary
-aerosol-data-weissfluhjoch_1.0 Aerosol Data Weissfluhjoch ENVIDAT STAC Catalog 2020-01-01 2020-01-01 9.806475, 46.832964, 9.806475, 46.832964 https://cmr.earthdata.nasa.gov/search/concepts/C2789814736-ENVIDAT.umm_json Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Weissfluhjoch (LON: 9.806475, LAT: 46.832964). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs), and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room. Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0). Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³). Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (SMPS 3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3787 TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³). Coriolis μ and LINDA: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l min‾¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the LED based Ice Nucleation Detection Apparatus (LINDA, University of Basel) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles. proprietary
+aerosol-data-davos-wolfgang_1.0 Aerosol Data Davos Wolfgang ENVIDAT STAC Catalog 2020-01-01 2020-01-01 9.853594, 46.835577, 9.853594, 46.835577 https://cmr.earthdata.nasa.gov/search/concepts/C2789814678-ENVIDAT.umm_json Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs) and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room. Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0). Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³). Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3788 , TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³). Coriolis μ and DRINCZ: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l minˉ¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the DRoplet Ice Nuclei Counter Zurich (DRINCZ, ETH Zurich) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles. proprietary
aerosol-data-weissfluhjoch_1.0 Aerosol Data Weissfluhjoch ALL STAC Catalog 2020-01-01 2020-01-01 9.806475, 46.832964, 9.806475, 46.832964 https://cmr.earthdata.nasa.gov/search/concepts/C2789814736-ENVIDAT.umm_json Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Weissfluhjoch (LON: 9.806475, LAT: 46.832964). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs), and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room. Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0). Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³). Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (SMPS 3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3787 TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³). Coriolis μ and LINDA: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l min‾¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the LED based Ice Nucleation Detection Apparatus (LINDA, University of Basel) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles. proprietary
+aerosol-data-weissfluhjoch_1.0 Aerosol Data Weissfluhjoch ENVIDAT STAC Catalog 2020-01-01 2020-01-01 9.806475, 46.832964, 9.806475, 46.832964 https://cmr.earthdata.nasa.gov/search/concepts/C2789814736-ENVIDAT.umm_json Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Weissfluhjoch (LON: 9.806475, LAT: 46.832964). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs), and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room. Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0). Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³). Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (SMPS 3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3787 TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³). Coriolis μ and LINDA: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l min‾¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the LED based Ice Nucleation Detection Apparatus (LINDA, University of Basel) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles. proprietary
aerosol_properties_725_1 SAFARI 2000 Physical and Chemical Properties of Aerosols, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-17 2000-09-13 5, -35, 60, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2789011485-ORNL_CLOUD.umm_json SAFARI 2000 provided an opportunity to study aerosol particles produced by savanna burning. We used analytical transmission electron microscopy (TEM), including energy-dispersive X-ray spectrometry (EDS) and electron energy-loss spectroscopy (EELS), to study aerosol particles from several smoke and haze samples and from a set of cloud samples. These aerosol particle samples were collected using the University of Washington Convair CV-580 research aircraft (Posfai et al., 2003). proprietary
aes5davg_236_1 BOREAS AES Five-day Averaged Surface Meteorological and Upper Air Data ORNL_CLOUD STAC Catalog 1976-01-01 1997-01-01 -107.87, 52.17, -97.83, 57.35 https://cmr.earthdata.nasa.gov/search/concepts/C2807614663-ORNL_CLOUD.umm_json Contains 5-day averages of hourly and daily data from 23 meteorological stations across Canada along with full-resolution upper air measurements from 1 station in The Pas, Manitoba. proprietary
aes_upl1_238_1 BOREAS AFM-05 Level-1 Upper Air Network Data, R1 ORNL_CLOUD STAC Catalog 1993-08-16 1996-10-22 -111, 50.09, -93.5, 59.98 https://cmr.earthdata.nasa.gov/search/concepts/C2812433046-ORNL_CLOUD.umm_json Contains basic upper-air parameters collected by the AFM-05 team from the network of upper-air stations during the 1993, 1994, and 1996 field campaigns over the entire study region. proprietary
@@ -17095,23 +17097,23 @@ agricultural-biogas-plants-to-foster-circular-economy-and-bioenergy_1.0 Agricult
agricultural-biogas-plants-to-foster-circular-economy-and-bioenergy_1.0 Agricultural biogas plants as a hub to foster circular economy and bioenergy: An assessment using substance and energy flow analysis ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226081749-ENVIDAT.umm_json "Supplementary material for the publication "" Agricultural biogas plants as a hub to foster circular economy and bioenergy: An assessment using material substance and energy flow analysis"" Burg, V., b, Rolli, C., Schnorf, V., Scharfy, D., Anspach, V., Bowman, G. Today's agro-food system is typically based on linear fluxes (e.g. mineral fertilizers importation), when a circular approach should be privileged. The production of biogas as a renewable energy source and digestate, used as an organic fertilizer, is essential for the circular economy in the agricultural sector. This study investigates the current utilization of wet biomass in agricultural anaerobic digestion plants in Switzerland in terms of mass, nutrients, and energy flows, to see how biomass use contributes to circular economy and climate change mitigation through the substitution effect of mineral fertilizers and fossil fuels. We quantify the system and its benefits in details and examine future developments of agricultural biogas plants using different scenarios. Our results demonstrate that agricultural anaerobic digestion could be largely increased, as it could provide ten times more biogas by 2050, while saving significant amounts of mineral fertilizer and GHG emissions." proprietary
air_methane_lawdome_1 Dated Readings For Air Composition And Methane From Law Dome Ice Core AU_AADC STAC Catalog 1988-01-01 1993-12-31 112.8, -66.771, 112.81, -66.77 https://cmr.earthdata.nasa.gov/search/concepts/C1214311761-AU_AADC.umm_json "This work was completed as part of ASAC project 757 (ASAC_757). This file comprises three main records compiled for publication in the following: V. Morgan, M. Delmotte, T. van Ommen, J. Jouzel, J. Chappellaz, S. Woon, V. Masson-Delmotte and D. Raynaud. Relative Timing of Deglacial Climate Events in Antarctica and Greenland, Science, 13 September 2002, Vol 297 (5588), pp. 1862-1864, DOI: 10.1126/science.1074257. Supporting Material - http://www.sciencemag.org/cgi/content/full/sci;297/5588/1862/DC1 Law Dome is a small (200 km in diameter) ice sheet located at the edge of the Indian Ocean sector of East Antarctica. The core site, near the summit of Law Dome (66 degrees 46'S, 112 degrees 48'E), is characterised by a high rate of accumulation (late Holocene average, 0.68 m ice equivalent per year) that results in an ice core with a highly tapered time scale in which the Holocene represents some 93% of the ice thickness of 1200 m. However, the full Law Dome isotopic record generally matches the long records from Vostok and Byrd to at least 80 ka, indicating that the record is continuous and undisturbed over this period. The Law Dome record is suited to gas-synchronisation studies because the high accumulation rate and consequent rapid burial give a small age difference (Delta age) between trapped air and the older enclosing ice. Derivation of an age scale for the Law Dome core, is based upon a Dansgaard- Johnsen flow model (S1) matched to the observed layer thinning (S2). Continuously sampled seasonal cycles down to ~1/3 ice-thickness (~1ky) and spot measurements of seasonal layers to ~85% ice-thickness (~4 ky) constrain the ice-flow model through this period in which mean accumulation is assumed to be free of large trends. Chronological control in the lower portion of the ice-sheet prior to 4 ky is through ties to other records. For the period of discussion, namely 10 ky to 17 ky, ties at 9.6 ky, 11.0 ky, 11.6 ky, 12.5 ky, 12.8 ky, 14.3 ky and 16.3 ky, are obtained by matching air composition changes with those of GRIP. The 9.6 ky tie is obtained by matching to d18O of air in GRIP (S3) and GISP2 (S4) data, and the remainder synchronise with the Byrd and GRIP CH4 records (S5). Dust concentration data also provide additional constraints on the 16.3 ky tie. Beyond 16.3 ky control is by a tie at 32 ky (based on both dust and d18Oice matched to the Byrd ice core (S6) on the GRIP timescale (S5)). The mean temporal resolution of the LD isotope data is ~24y through this period. The air-composition age-ties require Delta age computations for sequencing events within the LD record and for synchronisation of the chronology with GRIP. The high accumulation at DSS results in a particularly small Delta age value. The modern difference between ice-age and gas-age is 60 plus or minus 2 years for methane (S7). Note that at such low Delta age values, the diffusive mixing time from the free atmosphere down to seal-off depth becomes significant and must be accounted for; in the case of CH4 this is ~8 years (S7). The absolute chronology derived for the LD record has contributions from both the LD and GRIP Delta age errors, but the relative timing between the LD CH4 and water isotope (d18Oice) signals is only uncertain to within the small errors associated with LD Delta age. While the present-day trapping age at LD is small, lower temperatures and accumulation rates during the deglaciation lead to longer trapping times. To estimate Delta age under past conditions, we use a model (S8) to compute trapping age from accumulation and temperature (this model agrees with precise experimentally determined present day values). Since we have no direct indicators for palaeoaccumulation and palaeotemperature, we adopt two scenarios that use alternative estimation methods. Estimation of palaeotemperature from the isotope data in both scenarios is by application of a calibration slope, ""Beta ppt/degrees C"". For the young chronology, which has minimum Delta age, the commonly applied spatial slope of Beta=0.67 ppt/degrees C is used, giving relatively warm temperatures. The default chronology uses a long-term temporal calibration (S9) for Law Dome, Beta=0.44 ppt/degrees C. This estimate, which is seasonally derived, gives greater temperature sensitivity for isotopic changes than the spatial slope. The use of this lower value for Beta is supported by direct comparisons between annual averages in d18O and temperature at the site and elsewhere on Law Dome. Over several years to a few decades, these yield coefficients of typically ~0.33 ppt/degrees C. We adopt the value 0.44 ppt/degrees C as a conservative choice, based on a longer-term calibration and because the incorporation of seasonal sea-ice variations may better capture glacial-to- Holocene environmental shifts. Estimation of palaeoaccumulation for the young chronology is via the commonly applied method (see, e.g. S5) that scales modern accumulation-rate using the derivative of saturation vapour-pressure versus temperature relationship (also using Beta=0.67 ppt/degrees C). This method explicitly assumes no non-thermodynamic changes to moisture transport during climate variations (such as, e.g., atmospheric circulation changes) that may be important at this near-coastal location. Our alternative palaeoaccumulation estimate used for the default chronology assumes that the flow-model is correct and infers accumulation from the known age-intervals between the gas ties. This leads to considerably larger changes in accumulation which may nonetheless be understandable given the distinctively high Holocene precipitation regime that prevails at Law Dome. In addition, dust concentration data show a larger LGM to Holocene decrease at LD than Vostok. If relative flux changes at the two sites are similar, then the exaggerated dilution at LD is consistent with a large interglacial accumulation shift. Trapped gas measurements were made in France: CH4 measurements at LGGE, Grenoble and d18Oair measurements at LSCE, Saclay. Both analyses were conducted using a wet extraction procedure to release the air of the ice and followed by an injection into a gas chromatograph (CH4 measurement) or by a mass spectrometer isotopic analysis (d18Oair measurements). Both analyses were conducted using established procedures (S10,S11). The methane analytical uncertainty is plus or minus 20 ppbv with values were obtained on a single measurement (in which the sample was exhausted) and are presented on the LGGE scale which differs slightly from the NOAA scale but is well calibrated against it: LGGE = 1.02*NOAA (S12). The d18Oair values arise from means of duplicate measurements (except for one point with an obvious experimental problem, 1127.492 m depth). The analytical precision for d18Oair is around 0.05 ppt with a mean reproducibility of about 0.1 ppt. d18Oice measurements were made in Hobart and have an analytical precision of approximately 0.1 ppt. The results are expressed using the conventional reference of VSMOW (Vienna Standard Mean Ocean Water). Supporting References and Notes S1. W. Dansgaard, S. J. Johnsen, J. Glaciol., 8, 215 (1969). S2. V. Morgan et al., J. Glaciol., 43, 3 (1997). S3. M. Cross, (Compiler) Greenland summit ice cores CD-ROM. Boulder, CO: National Snow and Ice Data Center in association with the World Data Center for Paleoclimatology at NOAA-NGDC, and the Institute of Arctic and Alpine Research (1997). S4. M. Bender et al., Nature 372, 663-666 (1994). S5. T. Blunier, et al., Nature 394, 739 (1998). S6. S. J. Johnsen, W. Dansgaard, H. B. Clausen, C. C. Langway, Nature, 235, 429 (1972). S7. D. M. Etheridge et al., J. Geophys. Res., 101, 4115 (1996). S8. J.-M. Barnola, P. Pimienta, D. Raynaud, Y. S. Korotkevich, Tellus Ser. B, 43, 83 (1991). S9. T. D. van Ommen, V. Morgan, J. Geophys. Res., 102, 9351 (1997). S10. J. Chappellaz, et al., J. Geophys. Res., 102, 15987, (1997). S11. B. Malaize, Analyse isotopique de l'oxygene de l'air piege dans les glaces de l'Antarctique et du Groenland: correlation inter-hemispheriques et effet Dole, PhD thesis, University Paris 6, (1998). S12. T. Sowers et al, J. Geophys. Res., 102, 26527, (1997)." proprietary
air_sea_gas_exchange_xdeg_1208_1 ISLSCP II Air-Sea Carbon Dioxide Gas Exchange ORNL_CLOUD STAC Catalog 1995-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785340637-ORNL_CLOUD.umm_json This data set contains the calculated net ocean-air carbon dioxide (CO2) flux and sea-air CO2 partial pressure (pCO2) difference. The estimates are based on approximately one million measurements made for the pCO2 in surface waters of the global ocean since the International Geophysical Year, 1956-1959. Only the ocean water pCO2 values measured using direct gas-seawater equilibration methods were used. The results represent the climatological distributions under non-El Nino conditions. Since the measurements were made in different years, during which the atmospheric pCO2 was increasing, they were corrected to a single reference year (arbitrarily chosen to be 1995) on the basis of the following assumptions: -Surface waters in subtropical gyres mix vertically at slow rates with subsurface waters due to the presence of strong stratification at the base of the mixed layer. This will allow a long contact time with the atmosphere to exchange CO2. Therefore, their CO2 chemistry tends to follow the atmospheric CO2 increase. Accordingly, the pCO2 measured in a given month and year is corrected to the same month of the reference year 1995 using changes in the atmospheric CO2 concentration occurred during this period.-Oceanic pCO2 measurements made after the beginning of 1979 have been corrected to 1995 using the atmospheric CO2 concentration data from the GLOBALVIEW-CO2 database (2000), in which the zonal mean atmospheric concentrations (for each 0.05 in sine of latitude) within the planetary boundary layer are summarized for each month since 1979 to 2000.-Pre-1979 oceanic pCO2 data were corrected to 1979 using the annual mean trend for the global mean atmospheric CO2 concentration constructed from the Mauna Loa data of Keeling and Whorf (2000), and then from 1979 to 1995 using the GLOBALVIEW-CO2 database. -Measurements for pCO2 made in the following areas have been corrected for the time of observation; 45 degrees N, 50 degrees S, in the Atlantic Ocean, north of 50 degrees S in the Indian Ocean, 40 degrees N, 50 degrees S in the western Pacific west of the date line, and 40 degrees N, 60 degrees S, in the eastern Pacific east of the date line. proprietary
-air_temperature_observations_in_the_arctic_1979-2004 Air Temperature Observations in the Arctic 1979-2004 ALL STAC Catalog 1979-01-01 2005-12-01 -180, 14.5, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214600622-SCIOPS.umm_json The statistics of surface air temperature observations obtained from buoys, manned drifting stations, and meteorological land stations in the Arctic during 1979-2004 are analyzed. Although the basic statistics agree with what has been published in various climatologies, the seasonal correlation length scales between the observations are shorter than the annual correlation length scales, especially during summer when the inhomogeneity between the ice-covered ocean and the land is most apparent. During autumn, winter, and spring, the monthly mean correlation length scales are approximately constant at about 1000 km; during summer, the length scales are much shorter, i.e. as low as 300 km. These revised scales are particularly important in the optimal interpolation of data on surface air temperature (SAT) and are used in the analysis of an improved SAT dataset called IABP/POLES. Compared to observations from land stations and the Russian North Pole drift stations, the IABP/POLES dataset has higher correlations and lower rms errors than previous SAT fields and provides better temperature estimates, especially during summer in the marginal ice zones. In addition, the revised correlation length scales allow data taken at interior land stations to be included in the optimal interpretation analysis without introducing land biases to grid points over the ocean. The new analysis provides 12-hour fields of air temperatures on a 100-km rectangular grid for all land and ocean areas of the Arctic region for the years 1979-2004. proprietary
air_temperature_observations_in_the_arctic_1979-2004 Air Temperature Observations in the Arctic 1979-2004 SCIOPS STAC Catalog 1979-01-01 2005-12-01 -180, 14.5, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214600622-SCIOPS.umm_json The statistics of surface air temperature observations obtained from buoys, manned drifting stations, and meteorological land stations in the Arctic during 1979-2004 are analyzed. Although the basic statistics agree with what has been published in various climatologies, the seasonal correlation length scales between the observations are shorter than the annual correlation length scales, especially during summer when the inhomogeneity between the ice-covered ocean and the land is most apparent. During autumn, winter, and spring, the monthly mean correlation length scales are approximately constant at about 1000 km; during summer, the length scales are much shorter, i.e. as low as 300 km. These revised scales are particularly important in the optimal interpolation of data on surface air temperature (SAT) and are used in the analysis of an improved SAT dataset called IABP/POLES. Compared to observations from land stations and the Russian North Pole drift stations, the IABP/POLES dataset has higher correlations and lower rms errors than previous SAT fields and provides better temperature estimates, especially during summer in the marginal ice zones. In addition, the revised correlation length scales allow data taken at interior land stations to be included in the optimal interpretation analysis without introducing land biases to grid points over the ocean. The new analysis provides 12-hour fields of air temperatures on a 100-km rectangular grid for all land and ocean areas of the Arctic region for the years 1979-2004. proprietary
+air_temperature_observations_in_the_arctic_1979-2004 Air Temperature Observations in the Arctic 1979-2004 ALL STAC Catalog 1979-01-01 2005-12-01 -180, 14.5, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214600622-SCIOPS.umm_json The statistics of surface air temperature observations obtained from buoys, manned drifting stations, and meteorological land stations in the Arctic during 1979-2004 are analyzed. Although the basic statistics agree with what has been published in various climatologies, the seasonal correlation length scales between the observations are shorter than the annual correlation length scales, especially during summer when the inhomogeneity between the ice-covered ocean and the land is most apparent. During autumn, winter, and spring, the monthly mean correlation length scales are approximately constant at about 1000 km; during summer, the length scales are much shorter, i.e. as low as 300 km. These revised scales are particularly important in the optimal interpolation of data on surface air temperature (SAT) and are used in the analysis of an improved SAT dataset called IABP/POLES. Compared to observations from land stations and the Russian North Pole drift stations, the IABP/POLES dataset has higher correlations and lower rms errors than previous SAT fields and provides better temperature estimates, especially during summer in the marginal ice zones. In addition, the revised correlation length scales allow data taken at interior land stations to be included in the optimal interpretation analysis without introducing land biases to grid points over the ocean. The new analysis provides 12-hour fields of air temperatures on a 100-km rectangular grid for all land and ocean areas of the Arctic region for the years 1979-2004. proprietary
airmoss_chamela_mexico USGS AirMOSS - Chamela, Mexico USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567952-USGS_LTA.umm_json North American ecosystems are critical components of the global carbon cycle, exchanging large amounts of carbon dioxide and other gases with the atmosphere. Net ecosystem exchange (NEE) quantifies these carbon fluxes, but current continental-scale estimates contain high levels of uncertainty. Root-zone soil moisture (RZSM) and its spatial and temporal hetergeneity influence NEE and contribute as much as 60-80 percent to the uncertainty. Energy and CO2 Fluxes have been monitored from 1997 to 2007 using Bowen Ratio technique, and since spring of 2004 with eddy covariance. proprietary
airscm3b_448_1 BOREAS RSS-16 Level-3b DC-8 AIRSAR CM Images ORNL_CLOUD STAC Catalog 1993-08-12 1995-07-31 -110.05, 50.57, -94.08, 59.34 https://cmr.earthdata.nasa.gov/search/concepts/C2929127558-ORNL_CLOUD.umm_json Satellite and aircraft SAR data used in conjunction with various ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high-resolution images that represent the radar backscatter of the imaged surface at different frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV). proprietary
airscpex_1 Atmospheric Infrared Sounder (AIRS) CPEX GHRC_DAAC STAC Catalog 2017-05-11 2017-07-16 -130.881382, -18.2515803, -14.6008026, 64.1143891 https://cmr.earthdata.nasa.gov/search/concepts/C2721994875-GHRC_DAAC.umm_json The Atmospheric Infrared Sounder (AIRS) CPEX dataset contains products obtained from the Atmospheric Infrared Sounder (AIRS) onboard the NASA Aqua satellite. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region and conducted a total of sixteen DC-8 missions from May through June 2017. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 11, 2017 through July 16, 2017 and are available in HDF-4 format. proprietary
airssy3b_507_1 BOREAS RSS-16 Level-3b DC-8 AIRSAR SY Images ORNL_CLOUD STAC Catalog 1993-08-12 1995-07-31 -110.05, 50.57, -94.08, 59.34 https://cmr.earthdata.nasa.gov/search/concepts/C2929155651-ORNL_CLOUD.umm_json Satellite and aircraft SAR data used in conjunction with various ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high resolution images that represent the radar backscatter of the imaged surface atdifferent frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV). The level-3b AIRSAR SY data are the JPL synoptic product and contain 3 of the 12 total frequency and polarization combinations that are possible. proprietary
airsunp_61_1 Optical Thickness Data: Aircraft (OTTER) ORNL_CLOUD STAC Catalog 1990-08-13 1990-08-15 -124.02, 43.97, -123.22, 46.13 https://cmr.earthdata.nasa.gov/search/concepts/C2804769299-ORNL_CLOUD.umm_json Airborne sunphotometer data collected on 8/13-15/90 used to provide quantitative atmospheric correction to remotely sensed data of forest reflectance and radiance proprietary
ais_1970_log_1 Amery Ice Shelf Traverse Daily Log, 1970 AU_AADC STAC Catalog 1970-01-07 1970-02-12 65, -74, 74, -68 https://cmr.earthdata.nasa.gov/search/concepts/C1214305702-AU_AADC.umm_json The Australian Antarctic Division carried out a traverse to the Amery Ice Shelf in the summer of 1970. A daily log of the activities carried out was maintained, noting what the traverse team did, and the problems they dealt with along the traverse. Records for this work have been archived at the Australian Antarctic Division. Logbook(s): Glaciology Amery Ice Shelf Traverse Summer 1970 - The daily log from the traverse. proprietary
-alaska_census_regional_database Alaska Census Regional Database ALL STAC Catalog 1970-01-01 2000-01-01 -129, 50, 169, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214602419-SCIOPS.umm_json 1970-2000 decennial census results by 27 census areas conformed to 2000 Census geography. Dataset consists of 611 variables covering demography, employment, education, income, mobility, and housing. proprietary
alaska_census_regional_database Alaska Census Regional Database SCIOPS STAC Catalog 1970-01-01 2000-01-01 -129, 50, 169, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214602419-SCIOPS.umm_json 1970-2000 decennial census results by 27 census areas conformed to 2000 Census geography. Dataset consists of 611 variables covering demography, employment, education, income, mobility, and housing. proprietary
-alaskan_air_ground_snow_and_soil_temperatures__1998-2005 Alaskan Air Ground Snow and Soil Temperatures 1998-2005 ALL STAC Catalog 1998-08-29 2007-11-30 -164.761, 64.919, -148.6, 70.439 https://cmr.earthdata.nasa.gov/search/concepts/C1214600491-SCIOPS.umm_json This data set contains air and ground temperature measurements collected from three different regions, each with multiple sites. The regions sampled are North Slope, Council, and Ivotuk. Early measurements were taken as part of the Land-Atmosphere-Ice Interactions - Arctic Transitions in the Land-Atmosphere System (LAII-ATLAS) program. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant numbers OPP-9721347, OPP-9870635, and OPP-9732126 proprietary
+alaska_census_regional_database Alaska Census Regional Database ALL STAC Catalog 1970-01-01 2000-01-01 -129, 50, 169, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214602419-SCIOPS.umm_json 1970-2000 decennial census results by 27 census areas conformed to 2000 Census geography. Dataset consists of 611 variables covering demography, employment, education, income, mobility, and housing. proprietary
alaskan_air_ground_snow_and_soil_temperatures__1998-2005 Alaskan Air Ground Snow and Soil Temperatures 1998-2005 SCIOPS STAC Catalog 1998-08-29 2007-11-30 -164.761, 64.919, -148.6, 70.439 https://cmr.earthdata.nasa.gov/search/concepts/C1214600491-SCIOPS.umm_json This data set contains air and ground temperature measurements collected from three different regions, each with multiple sites. The regions sampled are North Slope, Council, and Ivotuk. Early measurements were taken as part of the Land-Atmosphere-Ice Interactions - Arctic Transitions in the Land-Atmosphere System (LAII-ATLAS) program. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant numbers OPP-9721347, OPP-9870635, and OPP-9732126 proprietary
-albedo_line_snow_depths Albedo Line Snow Depths SCIOPS STAC Catalog 2009-04-27 2009-04-28 -157, 71, -156, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214600343-SCIOPS.umm_json Snow depth measurements recorded every half meter along the transects used for albedo measurements using a GPS magnaprobe. Included in the file are latitude, longitude, and snow depth. The first set of columns are at the south site, the second set are at the north site. Note that the south site was surveyed first along the line every half meter, and then a large dune field north of the line was extensively surveyed. Data Citation: Eicken, H., R. Gradinger, T. Heinrichs, M. Johnson, A. Lovecraft, and M. Sturm. (Nov. 29, 2009, Updated May 9, 2012). Albedo Line Snow Depths (SIZONET). UCAR/NCAR - CISL - ACADIS. http://dx.doi.org/10.5065/D6057CV2 proprietary
+alaskan_air_ground_snow_and_soil_temperatures__1998-2005 Alaskan Air Ground Snow and Soil Temperatures 1998-2005 ALL STAC Catalog 1998-08-29 2007-11-30 -164.761, 64.919, -148.6, 70.439 https://cmr.earthdata.nasa.gov/search/concepts/C1214600491-SCIOPS.umm_json This data set contains air and ground temperature measurements collected from three different regions, each with multiple sites. The regions sampled are North Slope, Council, and Ivotuk. Early measurements were taken as part of the Land-Atmosphere-Ice Interactions - Arctic Transitions in the Land-Atmosphere System (LAII-ATLAS) program. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant numbers OPP-9721347, OPP-9870635, and OPP-9732126 proprietary
albedo_line_snow_depths Albedo Line Snow Depths ALL STAC Catalog 2009-04-27 2009-04-28 -157, 71, -156, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214600343-SCIOPS.umm_json Snow depth measurements recorded every half meter along the transects used for albedo measurements using a GPS magnaprobe. Included in the file are latitude, longitude, and snow depth. The first set of columns are at the south site, the second set are at the north site. Note that the south site was surveyed first along the line every half meter, and then a large dune field north of the line was extensively surveyed. Data Citation: Eicken, H., R. Gradinger, T. Heinrichs, M. Johnson, A. Lovecraft, and M. Sturm. (Nov. 29, 2009, Updated May 9, 2012). Albedo Line Snow Depths (SIZONET). UCAR/NCAR - CISL - ACADIS. http://dx.doi.org/10.5065/D6057CV2 proprietary
+albedo_line_snow_depths Albedo Line Snow Depths SCIOPS STAC Catalog 2009-04-27 2009-04-28 -157, 71, -156, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214600343-SCIOPS.umm_json Snow depth measurements recorded every half meter along the transects used for albedo measurements using a GPS magnaprobe. Included in the file are latitude, longitude, and snow depth. The first set of columns are at the south site, the second set are at the north site. Note that the south site was surveyed first along the line every half meter, and then a large dune field north of the line was extensively surveyed. Data Citation: Eicken, H., R. Gradinger, T. Heinrichs, M. Johnson, A. Lovecraft, and M. Sturm. (Nov. 29, 2009, Updated May 9, 2012). Albedo Line Snow Depths (SIZONET). UCAR/NCAR - CISL - ACADIS. http://dx.doi.org/10.5065/D6057CV2 proprietary
ali_etm_tandem_821_1 SAFARI 2000 ALI/ETM+ Tandem Image Pair for Skukuza, South Africa, May 2001 ORNL_CLOUD STAC Catalog 2001-05-30 2001-05-30 30.76, -25.5, 33.12, -23.59 https://cmr.earthdata.nasa.gov/search/concepts/C2789740161-ORNL_CLOUD.umm_json A tandem pair of Advanced Land Imager (ALI) and Landsat Enhanced Thematic Mapper Plus (ETM+) scenes covering the same part of Kruger National Park (KNP), South Africa (including the Skukuza tower site and rest camp), were acquired about a minute apart on May 30, 2001. The ALI is one of three instruments aboard NASA's first New Millennium Program Earth Observing 1 (EO-1) satellite. ALI is a technology validation testbed that employs novel wide-angle optics and a highly integrated multispectral and panchromatic spectroradiometer.The tandem pair was produced to evaluate the differences between ALI and ETM+ and determine if technology similar to that of the ALI is suitable for future land imaging that will continue the observations begun by the Landsat satellites in 1972.The ALI and ETM+ images are false color composites combining shortwave infrared, near infrared, and visible wavelengths, displayed as red, green, and blue, respectively. Dense vegetation appears green. The similarity of the images demonstrates the ability of the ALI to produce data comparable to ETM+. Several SAFARI 2000 field campaigns conducted in KNP provided ground-based data needed to evaluate measurements from the satellite sensors.Each band is stored as an individual binary file. A metadata file accompanies each set of ALI and ETM+ band files to document the path and row number, sample and line counts, band file names, and sun azimuth and elevation angles. There is also a calibration parameter file that was used for 1R processing. proprietary
-allADCP_GB Acoustic Doppler Current Profiler (ADCP) observations, Georges Bank area, April-June 1995, GLOBEC. ALL STAC Catalog 1995-04-25 1995-06-16 -68, 40.5, -67, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214155092-SCIOPS.umm_json Acoustic Doppler Current Profiler (ADCP) observations, were collected from the R/V Seward Johnson on two cruises to the Georges Bank region, April-June 1995. Three different ADCP units were used: two broadband at 150 and 600 kHz, and one narrowband at 150 kHz. The broadband 150 kHz unit was used at anchor stations with data reported at hourly intervals. The broad-band 600 kHz and narrow-band 150 kHz units collected data in the along track mode with data reported at five minute intervals. For each time interval, the u and v components of currents are reported at uniform depth intervals throughout the water column. Ship cruise dates R/V Seward Johnson 9506 1995 04 25 1995 05 02 R/V Seward Johnson 9508 1995 06 06 1995 06 16 proprietary
allADCP_GB Acoustic Doppler Current Profiler (ADCP) observations, Georges Bank area, April-June 1995, GLOBEC. SCIOPS STAC Catalog 1995-04-25 1995-06-16 -68, 40.5, -67, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214155092-SCIOPS.umm_json Acoustic Doppler Current Profiler (ADCP) observations, were collected from the R/V Seward Johnson on two cruises to the Georges Bank region, April-June 1995. Three different ADCP units were used: two broadband at 150 and 600 kHz, and one narrowband at 150 kHz. The broadband 150 kHz unit was used at anchor stations with data reported at hourly intervals. The broad-band 600 kHz and narrow-band 150 kHz units collected data in the along track mode with data reported at five minute intervals. For each time interval, the u and v components of currents are reported at uniform depth intervals throughout the water column. Ship cruise dates R/V Seward Johnson 9506 1995 04 25 1995 05 02 R/V Seward Johnson 9508 1995 06 06 1995 06 16 proprietary
+allADCP_GB Acoustic Doppler Current Profiler (ADCP) observations, Georges Bank area, April-June 1995, GLOBEC. ALL STAC Catalog 1995-04-25 1995-06-16 -68, 40.5, -67, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214155092-SCIOPS.umm_json Acoustic Doppler Current Profiler (ADCP) observations, were collected from the R/V Seward Johnson on two cruises to the Georges Bank region, April-June 1995. Three different ADCP units were used: two broadband at 150 and 600 kHz, and one narrowband at 150 kHz. The broadband 150 kHz unit was used at anchor stations with data reported at hourly intervals. The broad-band 600 kHz and narrow-band 150 kHz units collected data in the along track mode with data reported at five minute intervals. For each time interval, the u and v components of currents are reported at uniform depth intervals throughout the water column. Ship cruise dates R/V Seward Johnson 9506 1995 04 25 1995 05 02 R/V Seward Johnson 9508 1995 06 06 1995 06 16 proprietary
alnus-glutinosa-orientus-ishidae-flavescence-doree_1.0 Alnus glutinosa (L.) Gaertn. and Orientus ishidae (Matsumura, 1902) share phytoplasma genotypes linked to the “Flavescence dorée” epidemics ENVIDAT STAC Catalog 2021-01-01 2021-01-01 8.4484863, 45.8115721, 9.4372559, 46.4586735 https://cmr.earthdata.nasa.gov/search/concepts/C2789814963-ENVIDAT.umm_json Flavescence dorée (FD) is a grapevine disease caused by associated phytoplasmas (FDp), which are epidemically spread by their main vector Scaphoideus titanus. The possible roles of alternative and secondary FDp plant hosts and vectors have gained interest to better understand the FDp ecology and epidemiology. A survey conducted in the surroundings of a vineyard in the Swiss Southern Alps aimed at studying the possible epidemiological role of the FDp secondary vector Orientus ishidae and the FDp host plant Alnus glutinosa is reported. Data used for the publication. Insects were captured by using a sweeping net (on common alder trees) and yellow sticky traps (Rebell Giallo, Andermatt Biocontrol AG, Switzerland) placed in the vineyard canopy. Insects were later determined and selected for molecular analyses. Grapevines and common alder samples were collected using the standard techniques. The molecular analyses were conducted in order to identify samples infected by the Flavescence dorée phytoplasma (16SrV-p) and the Bois Noir phytoplasma (16SrXII-p). A selection of the infected sampled were further characterized by map genotype and sequenced in order to compare the genotypes in insects, grapevines and common alder trees. proprietary
alos-prism-l1c_8.0 ALOS PRISM L1C ESA STAC Catalog 2006-08-01 2011-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280661-ESA.umm_json "This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) OB1 L1C data acquired by ESA stations (Kiruna, Maspalomas, Matera, Tromsoe) in the _$$ADEN zone$$ https://earth.esa.int/eogateway/documents/20142/37627/Information-on-ALOS-AVNIR-2-PRISM-Products-for-ADEN-users.pdf , in addition to worldwide data requested by European scientists. The ADEN zone was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East. The full mission archive is included in this collection, though with gaps in spatial coverage outside of the; with respect to the L1B collection, only scenes acquired in sensor mode, with Cloud Coverage score lower than 70% and a sea percentage lower than 80% are published: • Time window: from 2006-08-01 to 2011-03-31 • Orbits: from 2768 to 27604 • Path (corresponds to JAXA track number): from 1 to 665 • Row (corresponds to JAXA scene centre frame number): from 310 to 6790. The L1C processing strongly improve accuracy compared to L1B1 from several tenths of meters in L1B1 (~40 m of northing geolocation error for Forward views and ~10-20 m for easting errors) to some meters in L1C scenes (< 10 m both in north and easting errors). The collection is composed by only PSM_OB1_1C EO-SIP product type, with PRISM sensor operating in OB1 mode and having the three views (Nadir, Forward and Backward) at 35km width. The most part of the products contains all the three views, but the Nadir view is always available and is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the JAXA view ID naming convention." proprietary
alos.prism.l1c.european.coverage.cloud.free_12.0 ALOS PRISM L1C European Coverage Cloud Free ESA STAC Catalog 2007-03-26 2011-03-31 -25, 27, 46, 72 https://cmr.earthdata.nasa.gov/search/concepts/C3325394222-ESA.umm_json This collection is composed of a subset of ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) OB1 L1C products from the _$$ALOS PRISM L1C collection$$ https://earth.esa.int/eogateway/catalog/alos-prism-l1c (DOI: 10.57780/AL1-ff3877f) which have been chosen so as to provide a cloud-free coverage over Europe. 70% of the scenes contained within the collection have a cloud cover percentage of 0%, while the remaining 30% of the scenes have a cloud cover percentage of no more than 20%. The collection is composed of PSM_OB1_1C EO-SIP products, with the PRISM sensor operating in OB1 mode with three views (Nadir, Forward and Backward) at 35 km width. proprietary
@@ -17123,8 +17125,8 @@ ames_sunphotometer_643_1 SAFARI 2000 Airborne Sunphotometer Aerosol Optical Dept
amount_of_dead_wood-214_1.0 Amount of dead wood ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814565-ENVIDAT.umm_json Wood volume of all deadwood recorded according to the NFI3 method. For standing trees and shrubs starting at 12 cm dbh, the volume of stemwood reduced due to stem breakage is recorded, and for lying deadwood the merchantable wood ( starting at 7 cm in diameter). Heaps of branches are not included. The correction for bias with the sample Tarif trees may be so drastic that it results in negative values with small numbers of trees. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary
amphibian-and-landscape-data-swiss-lowlands_1.0 Amphibian and urban-rural landscape data Swiss Lowlands ENVIDAT STAC Catalog 2022-01-01 2022-01-01 7.7124023, 47.0776041, 9.0637207, 47.7983967 https://cmr.earthdata.nasa.gov/search/concepts/C2789814582-ENVIDAT.umm_json "The data includes (1) amphibian occurrence data (2017-2019) for ten species across the cantons of Aargau and Zürich gathered from the Coordination Center for the Protection of Amphibians and Reptiles of Switzerland (http://www.karch.ch), (2) amphibian whole-life cycle environmental predictors (i.e. topographic, hydrologic, edaphic, vegetation, land-use derived, movement-ecology related), and (3) local urban ""green"" and ""grey"" landcover data which can be used to identify opportunities for Blue-Green Infrastructure (through green or grey transitions) in support of regional landscape connectivity." proprietary
amphibian-data-aargau_1.0 Amphibian observation and pond data (Aargau, Switzerland) ENVIDAT STAC Catalog 2021-01-01 2021-01-01 7.7, 47.15, 8.46, 47.62 https://cmr.earthdata.nasa.gov/search/concepts/C2789814599-ENVIDAT.umm_json In the canton of Aargau, hundreds of new ponds have been constructed since the 1990s to benefit declining amphibian populations. This dataset consists of monitoring data for all 12 pond-breeding amphibian species in the canton of Aargau from 1999 to 2019 in 856 ponds, and environmental variables that describe the ponds and the landscape surrounding the ponds. Species observation data is detection/non-detection data from repeat visits during survey years, during which all potentially suitable ponds in an area were surveyed. Environmental variables describing the ponds are whether the pond has been newly constructed since 1991 or not, pond age (if constructed), elevation a.s.l., the water surface area, and whether the water table fluctuates or not. Environmental variables describing the surroundings of the ponds are the percent area of forest within a circular buffer of radius 100m around the pond, the area of large (width ≥6m) roads within a circular buffer of radius 1km around the pond, as well as structural and potential population connectivity, quantified by three different metrics each. The canton of Aargau is the owner of the monitoring data; the original datafile is only disclosed upon request and in consultation with the canton of Aargau. The edited dataset contains cleaned observation data for the 12 amphibian species, as well as compiled and edited covariate data and code to fit dynamic occupancy models. proprietary
-amprimpacts_1 Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS GHRC_DAAC STAC Catalog 2020-01-18 2023-03-02 -124.153, 26.507, -64.366, 49.31 https://cmr.earthdata.nasa.gov/search/concepts/C2004708841-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS dataset consists of brightness temperature measurements collected by the Advanced Microwave Precipitation Radiometer (AMPR) onboard the NASA ER-2 high-altitude research aircraft. AMPR provides multi-frequency microwave imagery, with high spatial and temporal resolution for deriving cloud, precipitation, water vapor, and surface properties. These measurements were taken during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA’s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. Data files are available from January 18, 2020, through March 2, 2023, in netCDF-4 format. proprietary
amprimpacts_1 Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS ALL STAC Catalog 2020-01-18 2023-03-02 -124.153, 26.507, -64.366, 49.31 https://cmr.earthdata.nasa.gov/search/concepts/C2004708841-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS dataset consists of brightness temperature measurements collected by the Advanced Microwave Precipitation Radiometer (AMPR) onboard the NASA ER-2 high-altitude research aircraft. AMPR provides multi-frequency microwave imagery, with high spatial and temporal resolution for deriving cloud, precipitation, water vapor, and surface properties. These measurements were taken during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA’s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. Data files are available from January 18, 2020, through March 2, 2023, in netCDF-4 format. proprietary
+amprimpacts_1 Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS GHRC_DAAC STAC Catalog 2020-01-18 2023-03-02 -124.153, 26.507, -64.366, 49.31 https://cmr.earthdata.nasa.gov/search/concepts/C2004708841-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS dataset consists of brightness temperature measurements collected by the Advanced Microwave Precipitation Radiometer (AMPR) onboard the NASA ER-2 high-altitude research aircraft. AMPR provides multi-frequency microwave imagery, with high spatial and temporal resolution for deriving cloud, precipitation, water vapor, and surface properties. These measurements were taken during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA’s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. Data files are available from January 18, 2020, through March 2, 2023, in netCDF-4 format. proprietary
amprtbcp_2 AMPR BRIGHTNESS TEMPERATURE CAPE EXPERIMENT GHRC_DAAC STAC Catalog 1991-07-21 1991-08-16 -83.2024, 0, 12.6618, 38.1879 https://cmr.earthdata.nasa.gov/search/concepts/C1977858384-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Convection and Precipitation/Electrification Experiment (CaPE). AMPR data werecollected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) during the time period of July 21, 1991 - Aug. 16, 1991. CaPE took place in centralFlorida between 43 N - 25.5 N latitude and 86 W - 69 W longitude. proprietary
amprtbcx1_2 AMPR BRIGHTNESS TEMPERATURE CAMEX-1 GHRC_DAAC STAC Catalog 1993-09-26 1993-10-05 -83.8511, 23.9917, -68.2377, 42.6325 https://cmr.earthdata.nasa.gov/search/concepts/C1977858400-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Convection and Moisture Experiments (CAMEX-1) conducted at Wallops Island, VA. AMPR data were collected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) during the time period of September 26 - October 5, 1993. The geographic domain of the CAMEX region was between 25.5N - 43N latitude and 70W - 83W longitude. proprietary
amprtbcx2_2 AMPR BRIGHTNESS TEMPERATURE CAMEX-2 GHRC_DAAC STAC Catalog 1995-08-23 1995-08-30 -78.907, 30.0262, -72.3661, 41.0703 https://cmr.earthdata.nasa.gov/search/concepts/C1977858440-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Convection and Moisture Experiment 2 (CAMEX-2). AMPR data were collected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) during the time period of August 23 - August 30, 1995. The geographic domain of the CAMEX-2 region was between 25.5 N - 43 N latitude and 83 W - 70 W longitude. proprietary
@@ -17139,10 +17141,10 @@ ams_cs93_403_1 BOREAS/AES Campbell Scientific 15-minute Surface Meteorological D
ams_cs94_404_1 BOREAS/AES Campbell Scientific 15-minute Surface Meteorological Data: 1994 ORNL_CLOUD STAC Catalog 1994-01-01 1994-12-31 -108.52, 50.95, -94.7, 58.18 https://cmr.earthdata.nasa.gov/search/concepts/C2808090015-ORNL_CLOUD.umm_json Contains data from 1994 from the Atmospheric Environment Service Campbell Scientific autostations collecting continuous fifteen minute data for BOREAS. proprietary
ams_cs95_405_1 BOREAS/AES Campbell Scientific 15-minute Surface Meteorological Data: 1995 ORNL_CLOUD STAC Catalog 1995-01-01 1995-12-31 -108.52, 50.95, -94.7, 58.18 https://cmr.earthdata.nasa.gov/search/concepts/C2808090046-ORNL_CLOUD.umm_json Contains data from 1995 from the Atmospheric Environment Service Campbell Scientific autostations collecting continuous fifteen minute data for BOREAS. proprietary
ams_cs96_406_1 BOREAS/AES Campbell Scientific 15-minute Surface Meteorological Data: 1996 ORNL_CLOUD STAC Catalog 1996-01-01 1996-12-31 -108.52, 50.95, -94.7, 58.18 https://cmr.earthdata.nasa.gov/search/concepts/C2808090091-ORNL_CLOUD.umm_json Contains data from 1996 from the Atmospheric Environment Service Campbell Scientific autostations collecting continuous fifteen minute data for BOREAS. proprietary
-amsua15sp_1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-15 GHRC_DAAC STAC Catalog 1998-08-03 -180, -90, 180, 89.756 https://cmr.earthdata.nasa.gov/search/concepts/C1996541017-GHRC_DAAC.umm_json AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). NOAA-15 was the first spacecraft to fly AMSU. Launched on 13 May 1998, NOAA-15 is in a sun synchronous near polar orbit. proprietary
amsua15sp_1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-15 ALL STAC Catalog 1998-08-03 -180, -90, 180, 89.756 https://cmr.earthdata.nasa.gov/search/concepts/C1996541017-GHRC_DAAC.umm_json AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). NOAA-15 was the first spacecraft to fly AMSU. Launched on 13 May 1998, NOAA-15 is in a sun synchronous near polar orbit. proprietary
-amsua16sp_1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-16 GHRC_DAAC STAC Catalog 2001-05-27 2009-07-30 -180, -89.91, 180, 89.73 https://cmr.earthdata.nasa.gov/search/concepts/C1979956366-GHRC_DAAC.umm_json AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). Launched on 21 September 2000, NOAA-16 is in a sun synchronous near polar orbit. proprietary
+amsua15sp_1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-15 GHRC_DAAC STAC Catalog 1998-08-03 -180, -90, 180, 89.756 https://cmr.earthdata.nasa.gov/search/concepts/C1996541017-GHRC_DAAC.umm_json AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). NOAA-15 was the first spacecraft to fly AMSU. Launched on 13 May 1998, NOAA-15 is in a sun synchronous near polar orbit. proprietary
amsua16sp_1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-16 ALL STAC Catalog 2001-05-27 2009-07-30 -180, -89.91, 180, 89.73 https://cmr.earthdata.nasa.gov/search/concepts/C1979956366-GHRC_DAAC.umm_json AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). Launched on 21 September 2000, NOAA-16 is in a sun synchronous near polar orbit. proprietary
+amsua16sp_1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-16 GHRC_DAAC STAC Catalog 2001-05-27 2009-07-30 -180, -89.91, 180, 89.73 https://cmr.earthdata.nasa.gov/search/concepts/C1979956366-GHRC_DAAC.umm_json AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). Launched on 21 September 2000, NOAA-16 is in a sun synchronous near polar orbit. proprietary
amsua17sp_1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-17 ALL STAC Catalog 2002-07-21 2003-12-13 -180, -89.575, 180, 89.629 https://cmr.earthdata.nasa.gov/search/concepts/C1979975136-GHRC_DAAC.umm_json AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). The Third Advanced Microwave Sounding Unit-A was launched on NOAA-17 on 24 June 2002 from Vandenberg AFB, California on a Titan II booster. proprietary
amsua17sp_1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-17 GHRC_DAAC STAC Catalog 2002-07-21 2003-12-13 -180, -89.575, 180, 89.629 https://cmr.earthdata.nasa.gov/search/concepts/C1979975136-GHRC_DAAC.umm_json AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). The Third Advanced Microwave Sounding Unit-A was launched on NOAA-17 on 24 June 2002 from Vandenberg AFB, California on a Titan II booster. proprietary
anezet-analysing-net-zero-transformations_1.0 ANEZET: Analysing Net-Zero Transformations ENVIDAT STAC Catalog 2023-01-01 2023-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226081289-ENVIDAT.umm_json We have analysed past transformations in Switzerland in four environmental domains, with the aim to draw conclusions for current challenges, such as the net‐zero transformation. The data comprise transcripts of interviews with experts in the field of biodiversity, forests, landscape and natural hazard research. proprietary
@@ -17156,10 +17158,10 @@ anthropogenic-change-and-net-n-mineralization_1.0 Anthropogenic change and soil
aoci0bil_281_1 BOREAS Level-0 AOCI Imagery: Digital Counts in BIL Format ORNL_CLOUD STAC Catalog 1994-07-21 1994-07-21 -105.91, 52.98, -104.93, 54.46 https://cmr.earthdata.nasa.gov/search/concepts/C2927616228-ORNL_CLOUD.umm_json The level-0 AOCI imagery, along with the other remotely sensed images, was collected to provide spatially extensive information about radiant energy over the primary BOREAS study areas. The AOCI was the only remote sensing instrument flown with wavelength bands specific to the investigation of various aquatic parameters such as chlorophyll content and turbidity. proprietary
apr3cpex_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX ALL STAC Catalog 2017-05-27 2017-06-24 -96.0262, 16.8091, -69.2994, 28.9042 https://cmr.earthdata.nasa.gov/search/concepts/C2409563129-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment (CPEX) aircraft field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 27, 2017 through June 24, 2017 in a HDF-5 file, with associated browse imagery in JPG format. proprietary
apr3cpex_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX GHRC_DAAC STAC Catalog 2017-05-27 2017-06-24 -96.0262, 16.8091, -69.2994, 28.9042 https://cmr.earthdata.nasa.gov/search/concepts/C2409563129-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment (CPEX) aircraft field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 27, 2017 through June 24, 2017 in a HDF-5 file, with associated browse imagery in JPG format. proprietary
-apr3cpexaw_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-AW GHRC_DAAC STAC Catalog 2021-08-20 2021-09-04 -80.7804, 11.8615, -45.6417, 34.046 https://cmr.earthdata.nasa.gov/search/concepts/C2269541013-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-AW dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix. These data files are available from August 20, 2021 through September 4, 2021 in a MatLab file, with associated browse files in JPEG format. proprietary
apr3cpexaw_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-AW ALL STAC Catalog 2021-08-20 2021-09-04 -80.7804, 11.8615, -45.6417, 34.046 https://cmr.earthdata.nasa.gov/search/concepts/C2269541013-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-AW dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix. These data files are available from August 20, 2021 through September 4, 2021 in a MatLab file, with associated browse files in JPEG format. proprietary
-apr3cpexcv_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV GHRC_DAAC STAC Catalog 2022-09-02 2022-09-30 -89.6733315, 1.7593585, -14.8189435, 39.1985524 https://cmr.earthdata.nasa.gov/search/concepts/C2708951073-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross-section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 2, 2022, through September 30, 2022, in netCDF-4 format, with associated browse imagery in JPG format. proprietary
+apr3cpexaw_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-AW GHRC_DAAC STAC Catalog 2021-08-20 2021-09-04 -80.7804, 11.8615, -45.6417, 34.046 https://cmr.earthdata.nasa.gov/search/concepts/C2269541013-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-AW dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix. These data files are available from August 20, 2021 through September 4, 2021 in a MatLab file, with associated browse files in JPEG format. proprietary
apr3cpexcv_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV ALL STAC Catalog 2022-09-02 2022-09-30 -89.6733315, 1.7593585, -14.8189435, 39.1985524 https://cmr.earthdata.nasa.gov/search/concepts/C2708951073-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross-section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 2, 2022, through September 30, 2022, in netCDF-4 format, with associated browse imagery in JPG format. proprietary
+apr3cpexcv_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV GHRC_DAAC STAC Catalog 2022-09-02 2022-09-30 -89.6733315, 1.7593585, -14.8189435, 39.1985524 https://cmr.earthdata.nasa.gov/search/concepts/C2708951073-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross-section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 2, 2022, through September 30, 2022, in netCDF-4 format, with associated browse imagery in JPG format. proprietary
apuimpacts_1 Autonomous Parsivel Unit (APU) IMPACTS GHRC_DAAC STAC Catalog 2020-01-15 2020-02-29 -75.5894, 37.919, -75.3588, 38.2064 https://cmr.earthdata.nasa.gov/search/concepts/C1995564696-GHRC_DAAC.umm_json The Autonomous Parsivel Unit (APU) IMPACTS data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. The IMPACTS field campaign addressed providing observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examining how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improving snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from January 15, 2020 through February 29, 2020. proprietary
area_of_shrub_forest-123_1.0 Area of shrub forest ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814712-ENVIDAT.umm_json All plots classified as shrub forest according to the NFI forest definition. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary
arthropod-biomass-abundance-species-richness-trends-limpach_1.0 Arthropod biomass, abundance and species richness trends over 32 years in the agricultural Limpach valley, Switzerland ENVIDAT STAC Catalog 2020-01-01 2020-01-01 7.3819542, 47.0815787, 7.528553, 47.1334543 https://cmr.earthdata.nasa.gov/search/concepts/C2789814758-ENVIDAT.umm_json Recent publications about declines in arthropod biomass, abundance and species diversity raise concerns and call for measures. Agricultural intensification is likely one cause for the negative trends. But rare long-term arthropod surveys conceal trends in arthropod communities in agricultural land. Here, we report about a standardized sampling of arthropod fauna in a Swiss agricultural landscape, repeated over 32 years (1987, 1997 and 2019). We sampled 8 sites covering 4 semi-natural and agricultural habitat types. Four trap types were used to capture a wide range of flying and ground dwelling arthropods between May and July. Over the three sampling periods, 58’255 specimens of 1’343 species were analysed. Mean arthropod biomass, abundance and species richness per trap was significantly higher in 2019 than in prior years and gamma diversity of the study area was highest in 2019. Biomass and abundance increased stronger in the flight traps than in the pitfall traps. The implementation of agri-environmental schemes has improved habitat quality since 1993, while landscape composition and pesticide and fertilizer use remained stable over the study period, both contributing to the findings. The results of this study contrast with outcomes of comparable investigations and highlight the importance of further long-term investigations on arthropod dynamics. Data are provided on request to contact person against bilateral agreement. proprietary
@@ -17167,15 +17169,15 @@ asas Advanced Solid-state Array Spectroradiometer (ASAS) ALL STAC Catalog 1988-0
asas Advanced Solid-state Array Spectroradiometer (ASAS) USGS_LTA STAC Catalog 1988-06-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566261-USGS_LTA.umm_json The Advanced Solid-state Array Spectroradiometer (ASAS) data collection contains data collected by the ASAS sensor flown aboard NASA aircraft. A fundamental use of ASAS data is to characterize and understand the directional variability in solar energy scattered by various land surface cover types (e.g.,crops, forests, prairie grass, snow, or bare soil). The sensor's Bidirectional Reflectance Distribution Function determines the variation in the reflectance of a surface as a function of both the view zenith angle and solar illumination angle. The ASAS sensor is a hyperspectral, multiangle, airborne remote sensing instrument maintained and operated by the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center in Greenbelt, Maryland. The ASAS instrument is mounted on the underside of either NASA C-130 or NASA P-3 aircraft and is capable of off-nadir pointing from approximately 70 degrees forward to 55 degrees aft along the direction of flight. The aircraft is flown at an altitude of 5000 - 6000 meters (approximately 16,000 - 20,000 ft.). Data in the ASAS collection primarily cover areas over the continental United States, but some ASAS data are also available over areas in Canada and western Africa. The ASAS data were collected between 1988 and 1994. proprietary
asas_l1b_562_1 BOREAS RSS-02 Level-1b ASAS Image Data: At-sensor Radiance in BSQ Format ORNL_CLOUD STAC Catalog 1994-04-19 1996-07-20 -106.32, 53.24, -97.23, 56.25 https://cmr.earthdata.nasa.gov/search/concepts/C2813527156-ORNL_CLOUD.umm_json The BOREAS RSS-02 team used the ASAS instrument, mounted on the NASA C-130 aircraft, to create at-sensor radiance images of various sites as a function of spectral wavelength, view geometry (combinations of view zenith angle, view azimuth angle, solar zenith angle, and solar azimuth angle), and altitude. The level-1b ASAS images of the BOREAS study areas were collected from April to September 1994 and March to July 1996. proprietary
asasrefl_287_1 BOREAS RSS-02 Extracted Reflectance Factors Derived from ASAS Imagery ORNL_CLOUD STAC Catalog 1994-05-24 1996-07-20 -106.2, 53.24, -104.62, 53.99 https://cmr.earthdata.nasa.gov/search/concepts/C2813382300-ORNL_CLOUD.umm_json Contains calculated bidirectional reflectance factor means derived from extractions of C130-based ASAS measurements made during BOREAS. proprietary
-ascatcpex_1 Advanced Scatterometer (ASCAT) CPEX ALL STAC Catalog 2017-05-24 2017-07-16 160.241, 3.9062, -25.0958, 42.5176 https://cmr.earthdata.nasa.gov/search/concepts/C2428509185-GHRC_DAAC.umm_json The Advanced Scatterometer (ASCAT) CPEX dataset consists of ice probability, wind speed, and wind direction estimates collected by the ASCAT. The ASCAT is onboard the MetOp-A and MetOp-B satellites and uses radar to measure the electromagnetic backscatter from the wind-roughened ocean surface, from which data on wind speed and direction can be derived. These data were gathered during the Convective Processes Experiment (CPEX) field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 24, 2017 through July 16, 2017 in netCDF-3 format. proprietary
ascatcpex_1 Advanced Scatterometer (ASCAT) CPEX GHRC_DAAC STAC Catalog 2017-05-24 2017-07-16 160.241, 3.9062, -25.0958, 42.5176 https://cmr.earthdata.nasa.gov/search/concepts/C2428509185-GHRC_DAAC.umm_json The Advanced Scatterometer (ASCAT) CPEX dataset consists of ice probability, wind speed, and wind direction estimates collected by the ASCAT. The ASCAT is onboard the MetOp-A and MetOp-B satellites and uses radar to measure the electromagnetic backscatter from the wind-roughened ocean surface, from which data on wind speed and direction can be derived. These data were gathered during the Convective Processes Experiment (CPEX) field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 24, 2017 through July 16, 2017 in netCDF-3 format. proprietary
+ascatcpex_1 Advanced Scatterometer (ASCAT) CPEX ALL STAC Catalog 2017-05-24 2017-07-16 160.241, 3.9062, -25.0958, 42.5176 https://cmr.earthdata.nasa.gov/search/concepts/C2428509185-GHRC_DAAC.umm_json The Advanced Scatterometer (ASCAT) CPEX dataset consists of ice probability, wind speed, and wind direction estimates collected by the ASCAT. The ASCAT is onboard the MetOp-A and MetOp-B satellites and uses radar to measure the electromagnetic backscatter from the wind-roughened ocean surface, from which data on wind speed and direction can be derived. These data were gathered during the Convective Processes Experiment (CPEX) field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 24, 2017 through July 16, 2017 in netCDF-3 format. proprietary
asosimpacts_1 Automated Surface Observing System (ASOS) IMPACTS GHRC_DAAC STAC Catalog 2019-12-29 2023-03-01 -89.694, 36.571, -67.791, 47.467 https://cmr.earthdata.nasa.gov/search/concepts/C1995871063-GHRC_DAAC.umm_json The Automated Surface Observing Systems (ASOS) IMPACTS dataset consists of a variety of ground-based observations during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. This ASOS dataset consists of 176 stations within the IMPACTS domain. Each station provides observations of surface temperature, dew point, precipitation, wind direction, wind speed, wind gust, sea level pressure, and the observed weather code. The ASOS data are available from December 29, 2019, through March 1, 2023, in netCDF-4 format. proprietary
aspas_asmas_aat_3 Antarctic Specially Protected Areas and Antarctic Specially Managed Areas in the Australian Antarctic Territory - GIS polygon dataset. AU_AADC STAC Catalog 1998-01-01 2008-01-01 60.867, -72.967, 142.7, -66.217 https://cmr.earthdata.nasa.gov/search/concepts/C1457769795-AU_AADC.umm_json This record describes GIS polygon data (a shapefile) representing the boundaries of Antarctic Specially Protected Areas (ASPAs) and an Antarctic Specially Managed Area (ASMA) in the Australian Antarctic Territory for which Australia was the proponent or co-proponent. Also included is the boundary of ASPA 168 for which China was the proponent. The following is a list of the ASPAs and ASMA: ASPA 101 Taylor Rookery ASPA 102 Rookery Islands ASPA 103 Ardery Island and Odbert Island ASPA 135 North-east Bailey Peninsula ASPA 136 Clark Peninsula ASPA 143 Marine Plain ASPA 160 Frazier Islands ASPA 162 Mawson's Huts ASPA 164 Scullin and Murray Monoliths ASPA 167 Hawker Island ASPA 168 Mt Harding ASPA 169 Amanda Bay ASPA 174 Stornes ASMA 6 Larsemann Hills The data is available from a link in this metadata record and also, as a separate shapefile for each ASPA or ASMA, from the Antarctic Treaty Secretariat's Antarctic Protected Areas Database (see related url). GIS data representing the boundaries of other ASPAs and ASMAs is also available from the Antarctic Treaty Secretariat's Antarctic Protected Areas Database. proprietary
asrb-dav_1.0 ASRB_DAV: Shortwave and longwave radiation measurements (2 min) in Davos Dorf ENVIDAT STAC Catalog 2017-01-01 2017-01-01 9.84827, 46.81277, 9.84827, 46.81277 https://cmr.earthdata.nasa.gov/search/concepts/C2789814851-ENVIDAT.umm_json Incoming and outgoing shortwave and longwave 2 min radiation measurements in Davos Dorf, CH. ### References 1. Marty, C., Philipona, R., Frohlich, C., Ohmura, A.. Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network. 2002. Theoretical and Applied Climatology. Volume 72. Issue 3-4. 137-155. http://dx.doi.org/10.1007/s007040200019. 10.1007/s007040200019. 2. Christoph Marty. Surface Radiation, Cloud Forcing and Greenhouse Effect in the Alps. 2000. Institute fuer Klimaforschung ETH. Zuercher Klima-Schriften. Volume 79. http://e-collection.library.ethz.ch/eserv/eth:23491/eth-23491-01.pdf. proprietary
asrb-vf_1.0 ASRB_WFJVF: Shortwave and longwave radiation measurements (2 min) at the Weissfluhjoch research site, Davos ENVIDAT STAC Catalog 2016-01-01 2016-01-01 9.809204, 46.829631, 9.809204, 46.829631 https://cmr.earthdata.nasa.gov/search/concepts/C2789814947-ENVIDAT.umm_json Incoming and outgoing shortwave and longwave 2 min radiation measurements at the Weissfluhjoch research site, Davos, CH. The experimental site at the Weissfluhjoch (WFJ, 46.83 N, 9.81 E) is located at an altitude of 2540 m in the Swiss Alps near Davos. During the winter months, almost all precipitation falls as snow at this altitude. As a consequence, a continuous seasonal snow cover builds up every winter, with a maximum snow height ranging from 153–366 cm over the period 1934–2012. The measurement site is located in an almost flat part of a southeast oriented slope. ### References 1. Marty, C., Philipona, R., Frohlich, C., Ohmura, A.. Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network. 2002. Theoretical and Applied Climatology. Volume 72. Issue 3-4. 137-155. http://dx.doi.org/10.1007/s007040200019. 10.1007/s007040200019. 2. Christoph Marty. Surface Radiation, Cloud Forcing and Greenhouse Effect in the Alps. 2000. Institute fuer Klimaforschung ETH. Zuercher Klima-Schriften. Volume 79. http://e-collection.library.ethz.ch/eserv/eth:23491/eth-23491-01.pdf. proprietary
asrb-wfj_1.0 ASRB_WFJ: Shortwave and longwave radiation measurements (2 min) at the Weissfluhjoch research site, Davos ENVIDAT STAC Catalog 2017-01-01 2017-01-01 9.809204, 46.829631, 9.809204, 46.829631 https://cmr.earthdata.nasa.gov/search/concepts/C2789814987-ENVIDAT.umm_json Corrected incoming and outgoing shortwave and longwave 2 min radiation measurements at the Weissfluhjoch summit, Davos, CH. ### References 1. Marty, C., Philipona, R., Frohlich, C., Ohmura, A.. Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network. 2002. Theoretical and Applied Climatology. Volume 72. Issue 3-4. 137-155. http://dx.doi.org/10.1007/s007040200019. 10.1007/s007040200019. 2. Christoph Marty. Surface Radiation, Cloud Forcing and Greenhouse Effect in the Alps. 2000. Institute fuer Klimaforschung ETH. Zuercher Klima-Schriften. Volume 79. http://e-collection.library.ethz.ch/eserv/eth:23491/eth-23491-01.pdf. proprietary
-aster_1 Advanced Spaceborne Thermal Emission and Reflection Radiometer (Aster) satellite image data held by the Australian Antarctic Data Centre ALL STAC Catalog 2000-10-08 -180, -90, 180, -53 https://cmr.earthdata.nasa.gov/search/concepts/C1214313130-AU_AADC.umm_json Advanced Spaceborne Thermal Emission and Reflection Radiometer. Level 1A and level 1B data. The L1A data are reconstructed, unprocessed instrument data at full resolution. It consists of the image data, the radiometric coefficients, the geometric coefficients and other auxiliary data without applying the coefficients to the image data. The L1B data have these coefficents applied for radiometric calibration and geometric resampling. There are approximately 2500 scenes available. Of these, over 3/5 of theme are level 1B data. Search the Satellite Image Catalogue for more information using the link included. proprietary
aster_1 Advanced Spaceborne Thermal Emission and Reflection Radiometer (Aster) satellite image data held by the Australian Antarctic Data Centre AU_AADC STAC Catalog 2000-10-08 -180, -90, 180, -53 https://cmr.earthdata.nasa.gov/search/concepts/C1214313130-AU_AADC.umm_json Advanced Spaceborne Thermal Emission and Reflection Radiometer. Level 1A and level 1B data. The L1A data are reconstructed, unprocessed instrument data at full resolution. It consists of the image data, the radiometric coefficients, the geometric coefficients and other auxiliary data without applying the coefficients to the image data. The L1B data have these coefficents applied for radiometric calibration and geometric resampling. There are approximately 2500 scenes available. Of these, over 3/5 of theme are level 1B data. Search the Satellite Image Catalogue for more information using the link included. proprietary
+aster_1 Advanced Spaceborne Thermal Emission and Reflection Radiometer (Aster) satellite image data held by the Australian Antarctic Data Centre ALL STAC Catalog 2000-10-08 -180, -90, 180, -53 https://cmr.earthdata.nasa.gov/search/concepts/C1214313130-AU_AADC.umm_json Advanced Spaceborne Thermal Emission and Reflection Radiometer. Level 1A and level 1B data. The L1A data are reconstructed, unprocessed instrument data at full resolution. It consists of the image data, the radiometric coefficients, the geometric coefficients and other auxiliary data without applying the coefficients to the image data. The L1B data have these coefficents applied for radiometric calibration and geometric resampling. There are approximately 2500 scenes available. Of these, over 3/5 of theme are level 1B data. Search the Satellite Image Catalogue for more information using the link included. proprietary
aster_global_dem ASTER Global DEM USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567908-USGS_LTA.umm_json ASTER is capable of collecting in-track stereo using nadir- and aft-looking near infrared cameras. Since 2001, these stereo pairs have been used to produce single-scene (60- x 60-kilomenter (km)) digital elevation models (DEM) having vertical (root-mean-squared-error) accuracies generally between 10- and 25-meters (m). The methodology used by Japan's Sensor Information Laboratory Corporation (SILC) to produce the ASTER GDEM involves automated processing of the entire ASTER Level-1A archive. Stereo-correlation is used to produce over one million individual scene-based ASTER DEMs, to which cloud masking is applied to remove cloudy pixels. All cloud-screened DEMS are stacked and residual bad values and outliers are removed. Selected data are averaged to create final pixel values, and residual anomalies are corrected before partitioning the data into 1 degree (°) x 1° tiles. The ASTER GDEM covers land surfaces between 83°N and 83°S and is comprised of 22,702 tiles. Tiles that contain at least 0.01% land area are included. The ASTER GDEM is distributed as Geographic Tagged Image File Format (GeoTIFF) files with geographic coordinates (latitude, longitude). The data are posted on a 1 arc-second (approximately 30–m at the equator) grid and referenced to the 1984 World Geodetic System (WGS84)/ 1996 Earth Gravitational Model (EGM96) geoid. proprietary
atlas_buildings_gis_1 Differential GPS survey of the Atlas Cove ANARE Station ruins on Heard Island AU_AADC STAC Catalog 2000-01-01 2000-02-28 73.3, -53.1, 73.5, -53 https://cmr.earthdata.nasa.gov/search/concepts/C1214313143-AU_AADC.umm_json Alistair Grinbergs (Heritage Officer) was on Heard island in January and February 2000) as part of the 2000 ANARE, to make an assessment of the heritage value of the old ANARE station ruins. This GPS survey data of the corners of buildings and other artefacts will form part of the record of the station site, together with drawings and other measurements. The assessment will be used to formulate a conservation management plan for the site. proprietary
atlas_cove_photos_1 Atlas Cove Terrestrial Photos - historic ANARE Base AU_AADC STAC Catalog 2008-03-26 2008-03-26 73.391, -53.02, 73.394, -53.018 https://cmr.earthdata.nasa.gov/search/concepts/C1214313131-AU_AADC.umm_json Photographs and photo locations of the historic Australian National Antarctic Research Expedition (ANARE) base at Atlas Cove on Heard Island. The station was established 11 December 1947 and was closed down on 9 March 1955. Photos were taken in March of 2008 by Kerry Steinberner during a visit to Heard Island. The map used to locate the images is described in the following metadata record: Topographic Survey at Atlas Cove, Heard Island, November 2000 [atlas_survey2000_gis] The images include shots of the remains of ANARE buildings, vehicles, tanks, debris, fences, artefacts and flora. The dataset includes a copy of the images, an excel spreadsheet cataloguing the images, and shapefiles showing the image locations. proprietary
@@ -17253,11 +17255,11 @@ basin_border_670_1 LBA Regional Boundary for the Amazon and Tocantins River Basi
bathy_proposedMPAs_eastantarctica_1 Bathymetry Compilation for Proposed Marine Protected Areas in East Antarctica AU_AADC STAC Catalog 1979-10-19 2010-12-02 32, -72.5, 150, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214313157-AU_AADC.umm_json The Australian Antarctic Division (AAD) has developed a proposal for the establishment of seven Marine Protected Areas (MPAs) located around east Antarctica for the purposes of marine ecosystem conservation. As seafloor morphology is a key component of marine ecosystems, this bathymetry compilation for the proposed MPAs was produced to support the AAD proposal. All bathymetry data available to Geoscience Australia at the time of compilation were used. This included multibeam and singlebeam acoustic data which were verified and processed to ensure the data were as accurate as possible. Processing included sound velocity corrections, navigation verification and the rejection of erroneous data points. Once processed, the data were gridded to 100m resolution and projected into suitable WGS84 UTM zones. The gridded data was exported into several formats to facilitate ease of use. The formats include xyz files, ESRI rasters, geoTIFs, CARISTM image files and soundings. The data and the technical report are available for download from URLs below. proprietary
bats-and-nocturnal-insects-in-urban-green-areas_1.0 Bats and nocturnal insects in urban green areas ENVIDAT STAC Catalog 2020-01-01 2020-01-01 1.8237305, 47.2195681, 8.8110352, 51.5360856 https://cmr.earthdata.nasa.gov/search/concepts/C2789814542-ENVIDAT.umm_json Animal biodiversity in cities is generally expected to be uniformly reduced, but recent studies show that this is modulated by the composition and configuration of Urban Green Areas (UGAs). UGAs represent a heterogeneous network of vegetated spaces in urban settings that have repeatedly shown to support a significant part of native diurnal animal biodiversity. However, nocturnal taxa have so far been understudied, constraining our understanding of the role of UGAs on maintaining ecological connectivity and enhancing overall biodiversity. We present a well-replicated multi-city study on the factors driving bat and nocturnal insect biodiversity in three European cities. To achieve this, we sampled bats with ultrasound recorders and flying insects with light traps during the summer of 2018. Results showed a greater abundance and diversity of bats and nocturnal insects in the city of Zurich, followed by Antwerp and Paris. We identified artificial lighting in the UGA to lower bat diversity by probably filtering out light-sensitive species. We also found a negative correlation between both bat activity and diversity and insect abundance, suggesting a top-down control. An in-depth analysis of the Zurich data revealed divergent responses of the nocturnal fauna to landscape variables, while pointing out a bottom-up control of insect diversity on bats. Thus, to effectively preserve biodiversity in urban environments, UGAs management decisions should take into account the combined ecological needs of bats and nocturnal insects and consider the specific spatial topology of UGAs in each city. proprietary
bb9fdc41-1a19-4793-aca1-a6f5f28d592d_NA TerraSAR-X - Staring Spotlight Images (TerraSAR-X Staring Spotlight) FEDEO STAC Catalog 2007-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207458066-FEDEO.umm_json "This collection contains radar image products of the German national TerraSAR-X mission acquired in Staring Spotlight mode. Staring Spotlight imaging allows for a spatial resolution of up to 25 cm. The scene size varies depending on the incidence angle. As an example, 4 km (across swath) x 3.7 km (in orbit direction) can be achieved at 60°. TerraSAR-X is a sun-synchronous polar-orbiting, all-weather, day-and-night X-band radar earth observation mission realized in the frame of a public-private partnership between the German Aerospace Center (DLR) and Airbus Defence and Space. For more information concerning the TerraSAR-X mission, the reader is referred to: https://www.dlr.de/content/de/missionen/terrasar-x.html" proprietary
-bds_dragonfly A Checklist of British and Irish Dragonfly Species ALL STAC Catalog 1998-01-01 -8.41, 49.49, 2.39, 59.07 https://cmr.earthdata.nasa.gov/search/concepts/C1214611738-SCIOPS.umm_json "Dragonflies are among the most ancient of living creatures. Fossil records, clearly recognisable as dragonflies, go back to Carboniferous times which means that they date back almost 300 million years, predating pterodactyls by 100 million years and birds by some 150 million. It would he tragic if, after surviving such an unimaginable number of years, it should be our generation that witnesses the decline of these fascinating and beautiful insects. The British Dragonfly Society maintains a checklist of British and Irish dragonflies. This checklist includes all British and Irish species including migrants, vagrants and species now believed extinct in the British Isles. The species name provides a link to a photograph where available. Information was obtained from ""http://www.british-dragonflies.org.uk/content/uk-species""." proprietary
bds_dragonfly A Checklist of British and Irish Dragonfly Species SCIOPS STAC Catalog 1998-01-01 -8.41, 49.49, 2.39, 59.07 https://cmr.earthdata.nasa.gov/search/concepts/C1214611738-SCIOPS.umm_json "Dragonflies are among the most ancient of living creatures. Fossil records, clearly recognisable as dragonflies, go back to Carboniferous times which means that they date back almost 300 million years, predating pterodactyls by 100 million years and birds by some 150 million. It would he tragic if, after surviving such an unimaginable number of years, it should be our generation that witnesses the decline of these fascinating and beautiful insects. The British Dragonfly Society maintains a checklist of British and Irish dragonflies. This checklist includes all British and Irish species including migrants, vagrants and species now believed extinct in the British Isles. The species name provides a link to a photograph where available. Information was obtained from ""http://www.british-dragonflies.org.uk/content/uk-species""." proprietary
+bds_dragonfly A Checklist of British and Irish Dragonfly Species ALL STAC Catalog 1998-01-01 -8.41, 49.49, 2.39, 59.07 https://cmr.earthdata.nasa.gov/search/concepts/C1214611738-SCIOPS.umm_json "Dragonflies are among the most ancient of living creatures. Fossil records, clearly recognisable as dragonflies, go back to Carboniferous times which means that they date back almost 300 million years, predating pterodactyls by 100 million years and birds by some 150 million. It would he tragic if, after surviving such an unimaginable number of years, it should be our generation that witnesses the decline of these fascinating and beautiful insects. The British Dragonfly Society maintains a checklist of British and Irish dragonflies. This checklist includes all British and Irish species including migrants, vagrants and species now believed extinct in the British Isles. The species name provides a link to a photograph where available. Information was obtained from ""http://www.british-dragonflies.org.uk/content/uk-species""." proprietary
beaver_sat_1 Beaver Lake Satellite Image and Topographic Double-sided Map 1:100 000 AU_AADC STAC Catalog 1990-05-01 1990-05-31 67, -71, 69, -70 https://cmr.earthdata.nasa.gov/search/concepts/C1214313272-AU_AADC.umm_json Double-sided satellite image and topographic map of Beaver Lake, Antarctica. These maps were produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1990. Both maps are at a scale of 1:100 000. The satellite image map was produced from SPOT 1 and LANDSAT 5 TM scenes. It is projected on a Transverse Mercator projection, and shows glaciers/ice shelves, stations/bases and gives some historical text information. The map has both geographical and UTM co-ordinates. Contours on the topographic map were derived from Russian maps (values have not been verified.) This map is also projected on a transverse mercator projection, and shows traverses/routes/foot track charts, bases/stations, glaciers/ice shelves, survey marks, and gives some historical text information. proprietary
-bech_nest_locations_1 Adelie Penguin nest locations on Bechervaise Island AU_AADC STAC Catalog 2000-02-01 2000-02-22 62.8084, -67.5879, 62.8152, -67.5863 https://cmr.earthdata.nasa.gov/search/concepts/C1214313158-AU_AADC.umm_json This dataset represents the locations of Adelie Penguin nests in colonies K, L and Q on Bechervaise Island, Holme Bay, Antarctica. Attributes include colony, nest number and tag colour. The dataset contains three files - an image file and two zip files. The image file, mapping_grid.jpg, is a diagram showing the grid used for plotting the colony L nest locations. The zip file, bech_penguin_nests.zip, contains shapefiles representing the Adelie Penguin nest locations, Bechervaise Island. The zip file, transform_nests_colonyL.zip, provides further information about the georeferencing of the colony L nest locations. proprietary
bech_nest_locations_1 Adelie Penguin nest locations on Bechervaise Island ALL STAC Catalog 2000-02-01 2000-02-22 62.8084, -67.5879, 62.8152, -67.5863 https://cmr.earthdata.nasa.gov/search/concepts/C1214313158-AU_AADC.umm_json This dataset represents the locations of Adelie Penguin nests in colonies K, L and Q on Bechervaise Island, Holme Bay, Antarctica. Attributes include colony, nest number and tag colour. The dataset contains three files - an image file and two zip files. The image file, mapping_grid.jpg, is a diagram showing the grid used for plotting the colony L nest locations. The zip file, bech_penguin_nests.zip, contains shapefiles representing the Adelie Penguin nest locations, Bechervaise Island. The zip file, transform_nests_colonyL.zip, provides further information about the georeferencing of the colony L nest locations. proprietary
+bech_nest_locations_1 Adelie Penguin nest locations on Bechervaise Island AU_AADC STAC Catalog 2000-02-01 2000-02-22 62.8084, -67.5879, 62.8152, -67.5863 https://cmr.earthdata.nasa.gov/search/concepts/C1214313158-AU_AADC.umm_json This dataset represents the locations of Adelie Penguin nests in colonies K, L and Q on Bechervaise Island, Holme Bay, Antarctica. Attributes include colony, nest number and tag colour. The dataset contains three files - an image file and two zip files. The image file, mapping_grid.jpg, is a diagram showing the grid used for plotting the colony L nest locations. The zip file, bech_penguin_nests.zip, contains shapefiles representing the Adelie Penguin nest locations, Bechervaise Island. The zip file, transform_nests_colonyL.zip, provides further information about the georeferencing of the colony L nest locations. proprietary
beech_stress_thresholds_1.0 Stress thresholds of mature European beech trees ENVIDAT STAC Catalog 2020-01-01 2020-01-01 6.5368652, 45.9799133, 9.7009277, 47.6044342 https://cmr.earthdata.nasa.gov/search/concepts/C2789814551-ENVIDAT.umm_json This data set contains the data presented in the figures 1-6 in Walthert et al. (2020): From the comfort zone to crown dieback: sequence of physiological stress thresholds in mature European beech trees across progressive drought. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2020.141792. A detailed methodical description of the data can be found in the Material and Methods section of the paper. Drought responses of mature trees are still poorly understood making it difficult to predict species distributions under a warmer climate. Using mature European beech (Fagus sylvatica L.), a widespread and economically important tree species in Europe, we aimed at developing an empirical stress-level scheme to describe its physiological response to drought. We analysed effects of decreasing soil and leaf water potential on soil water uptake, stem radius, native embolism, early defoliation and crown dieback with comprehensive measurements from overall nine hydrologically distinct beech stands across Switzerland, including records from the exceptional 2018 drought and the 2019/2020 post-drought period. Based on the observed responses to decreasing water potential we derived the following five stress levels: I (predawn leaf water potential >-0.4 MPa): no detectable hydraulic limitations; II (-0.4 to -1.3): persistent stem shrinkage begins and growth ceases; III (-1.3 to -2.1): onset of native embolism and defoliation; IV (-2.1 to -2.8): onset of crown dieback; V (<-2.8): transpiration ceases and crown dieback is >20%. Our scheme provides, for the first time, quantitative thresholds regarding the physiological downregulation of mature European beech trees under drought and therefore synthesises relevant and fundamental information for process-based species distribution models. Moreover, our study revealed that European beech is drought vulnerable, because it still transpires considerably at high levels of embolism and because defoliation occurs rather as a result of embolism than preventing embolism. During the 2018 drought, an exposure to the stress levels III-V of only one month was long enough to trigger substantial crown dieback in beech trees on shallow soils. On deep soils with a high water holding capacity, in contrast, water reserves in deep soil layers prevented drought stress in beech trees. This emphasises the importance to include local data on soil water availability when predicting the future distribution of European beech. proprietary
bender2020_1.0 Changes in climatology, snow cover and ground temperatures at high alpine locations in Switzerland (Bender et al. 2020) ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.7568359, 45.7828484, 10.7336426, 48 https://cmr.earthdata.nasa.gov/search/concepts/C2789814563-ENVIDAT.umm_json This dataset includes all data and simulation files presented in the publication: Bender et al. 2020. Changes in climatology, snow cover and ground temperatures at high alpine locations, DOI: 10.3389/feart.2020.00100. This includes: * meteorological forcing, * climate change timeries and * simulation files together with * snow depth * ground temperature __Please refer to the following publication for further details which should be cited when using this dataset:__ __Bender et al. 2020. Changes in climatology, snow cover and ground temperatures at high alpine locations, DOI: 10.3389/feart.2020.00100.__ proprietary
beryllium_10be_isotopes_lawdome_1 High resolution studies of cosmogenic beryllium isotopes (10Be) at Law Dome AU_AADC STAC Catalog 2013-03-01 2013-03-31 112.80535, -66.7059, 112.80534, -66.7058 https://cmr.earthdata.nasa.gov/search/concepts/C1214571598-AU_AADC.umm_json "Energy from the Sun drives the Earth's climate system but this energy varies: there is an 11 year solar cycle and the Sun's intensity has varied over longer timescales. Reconstructing how the Sun's output has varied in past times is crucial to understanding the Earth's past climate which is key to predicting future climate change. Naturally-occurring radioactive isotopes such as 7Be and 10Be are produced in the Earth's atmosphere by cosmic rays, at a rate controlled by the activity of the Sun, and are layered in ice sheets, thus providing a means of reconstructing past solar output. 3 x 3"" PICO firn cores were drilled immediately in front of snow pit. The 3 pico cores were sampled at 14cm intervals and the sections combined resulting in 16 samples. Some length was lost during transit, especially in the top cores. It was assumed that the lost length was from the breaks in the core as the ends rubbed against each other during transport, and was evenly lost from each break, using the field notes to help. The bottom of each core was assumed to be the lengths as measured in the field. The samples were placed in a melting jar with carrier and left to melt overnight. ~10mL of the samples were retained for water isotope analysis. The samples were filtered and pumped onto cation columns." proprietary
@@ -17308,8 +17310,8 @@ breeding_success_BI_1 Adelie penguin breeding success for Bechervaise Island, Ma
breeding_success_BI_1 Adelie penguin breeding success for Bechervaise Island, Mawson AU_AADC STAC Catalog 1990-10-01 2005-02-01 62.8055, -67.5916, 62.825, -67.5861 https://cmr.earthdata.nasa.gov/search/concepts/C1214313363-AU_AADC.umm_json Adelie penguin breeding success records for Bechervaise Island, Mawson since 1990-91. Data include counts of occupied nests and chick counts when either 2/3 of the nests have creched or when all nests have creched. Breeding success values are calculated as the number of chicks per occupied nest. Breeding Success = the number of chicks raised to fledging per nest with eggs Breeding success is calculated from four different whole island counts: 1) the number of incubating nests (i.e. the number of nest with eggs) - 'incubating nest count' 2) the number of brooding nests (i.e. the number of nests brooding chicks) - 'brooding chick count' 3) the number of chicks present when 2/3 of the nests have creched their chicks - '2/3-creche count' 4) the number of chicks present when all the nests have creche their chicks - 'fully-creche count' Each colony on the island is manually counted by field observers, using 'counters', three times each. Counts within 10% of each other are used to average the number of nests or chicks for each colony and then in later calculations to determine breeding success. Incubating nest counts are conducted on or about 2nd December; Brooding chick counts are conducted on or about the 7th January; 2/3-creche counts on or about the 19th January; and Fully-creche chick counts on or about 26th January. Whole island 2/3-creche and fully-creche chick count dates are determined from calculating when 2/3 and all study nests in the census area (study colonies) have creche their chicks. This work was completed as part of ASAC Project 2205, Adelie penguin research and monitoring in support of the CCAMLR Ecosystem Monitoring Project. The fields in this dataset are: Year Breeding success Occupied nests proprietary
brok_5k_gis_1 Broknes Peninsula 1:5000 Topographic GIS Dataset AU_AADC STAC Catalog 1994-11-03 1994-11-17 76.2, -69.4333, 76.4333, -69.3333 https://cmr.earthdata.nasa.gov/search/concepts/C1214313345-AU_AADC.umm_json Broknes Peninsula, Larsemann Hills, 1:5000 GIS dataset. This dataset has been superseded by the datasets described by the metadata records: 'Larsemann Hills - Mapping from aerial photography captured February 1998' and 'Larsemann Hills - Mapping from Landsat 7 imagery captured January 2000'. These data have been archived as they have been superseded. proprietary
broknes_lake_catchments_gis_1 Lake catchments on Broknes, Larsemann Hills AU_AADC STAC Catalog 1997-05-06 2001-08-14 76.285, -69.4193, 76.42, -69.3698 https://cmr.earthdata.nasa.gov/search/concepts/C1214313378-AU_AADC.umm_json Catchment boundaries of the the lakes on Broknes, Larsemann Hills. These catchments were generated using the FLOWDIRECTION and BASINS routines in the GRID module of ArcInfo GIS. proprietary
-bromwich_0337948_1 A 45-Y Hindcast of Antarctic Surface Mass Balance Using Polar MM5 ALL STAC Catalog 1979-01-01 2002-08-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214586989-SCIOPS.umm_json This 3-year project (June 2004-May 2007) was funded by the National Science Foundation's Office of Polar Programs (Glaciology). We employed the Polar MM5 to model variability and change in the surface mass balance (the net accumulation of moisture) over Antarctica in recent decades. Available here are annually and seasonally resolved grids of atmospheric data simulated by Polar MM5 for the period Jan 1979-Aug 2002. The ERA-40 dataset provided the initial and boundary conditions for the simulations. The burden of validating the data provided is the responsibility of anyone choosing to download it. MODEL CONFIGURATION: The Polar MM5 simulations were performed on a 121 x 121 polar stereographic grid covering the Antarctic and centered over the South Pole. The model resolution is 60-km in each horizontal direction. Vertically, the domain contains 32 sigma levels ranging from the surface to 10 hPa. Atmospheric data (U,V,T,Q,P) and sea surface temperatures were provided by ERA-40. 25-km resolution daily sea ice concentration grids were provided by the National Snow and Ice Data Center to determine fractional ice coverage over ocean gridpoints. The model topography was interpolated from the 1-km resolution digital elevation model of Liu et al. (2001). Images of the model domain, topography and land use specifications can be found here. More information on the physics in Polar MM5 can be found on the Polar MM5 Webpage, http://polarmet.mps.ohio-state.edu/PolarMet/pmm5.html Please reference the following publication if you use the data in a publication: Monaghan, A. J., D. H. Bromwich, and S.-H. Wang, 2006: Recent trends in Antarctic snow accumulation from Polar MM5. Philosophical Trans. Royal. Soc. A, 364, 1683-1708. proprietary
bromwich_0337948_1 A 45-Y Hindcast of Antarctic Surface Mass Balance Using Polar MM5 SCIOPS STAC Catalog 1979-01-01 2002-08-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214586989-SCIOPS.umm_json This 3-year project (June 2004-May 2007) was funded by the National Science Foundation's Office of Polar Programs (Glaciology). We employed the Polar MM5 to model variability and change in the surface mass balance (the net accumulation of moisture) over Antarctica in recent decades. Available here are annually and seasonally resolved grids of atmospheric data simulated by Polar MM5 for the period Jan 1979-Aug 2002. The ERA-40 dataset provided the initial and boundary conditions for the simulations. The burden of validating the data provided is the responsibility of anyone choosing to download it. MODEL CONFIGURATION: The Polar MM5 simulations were performed on a 121 x 121 polar stereographic grid covering the Antarctic and centered over the South Pole. The model resolution is 60-km in each horizontal direction. Vertically, the domain contains 32 sigma levels ranging from the surface to 10 hPa. Atmospheric data (U,V,T,Q,P) and sea surface temperatures were provided by ERA-40. 25-km resolution daily sea ice concentration grids were provided by the National Snow and Ice Data Center to determine fractional ice coverage over ocean gridpoints. The model topography was interpolated from the 1-km resolution digital elevation model of Liu et al. (2001). Images of the model domain, topography and land use specifications can be found here. More information on the physics in Polar MM5 can be found on the Polar MM5 Webpage, http://polarmet.mps.ohio-state.edu/PolarMet/pmm5.html Please reference the following publication if you use the data in a publication: Monaghan, A. J., D. H. Bromwich, and S.-H. Wang, 2006: Recent trends in Antarctic snow accumulation from Polar MM5. Philosophical Trans. Royal. Soc. A, 364, 1683-1708. proprietary
+bromwich_0337948_1 A 45-Y Hindcast of Antarctic Surface Mass Balance Using Polar MM5 ALL STAC Catalog 1979-01-01 2002-08-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214586989-SCIOPS.umm_json This 3-year project (June 2004-May 2007) was funded by the National Science Foundation's Office of Polar Programs (Glaciology). We employed the Polar MM5 to model variability and change in the surface mass balance (the net accumulation of moisture) over Antarctica in recent decades. Available here are annually and seasonally resolved grids of atmospheric data simulated by Polar MM5 for the period Jan 1979-Aug 2002. The ERA-40 dataset provided the initial and boundary conditions for the simulations. The burden of validating the data provided is the responsibility of anyone choosing to download it. MODEL CONFIGURATION: The Polar MM5 simulations were performed on a 121 x 121 polar stereographic grid covering the Antarctic and centered over the South Pole. The model resolution is 60-km in each horizontal direction. Vertically, the domain contains 32 sigma levels ranging from the surface to 10 hPa. Atmospheric data (U,V,T,Q,P) and sea surface temperatures were provided by ERA-40. 25-km resolution daily sea ice concentration grids were provided by the National Snow and Ice Data Center to determine fractional ice coverage over ocean gridpoints. The model topography was interpolated from the 1-km resolution digital elevation model of Liu et al. (2001). Images of the model domain, topography and land use specifications can be found here. More information on the physics in Polar MM5 can be found on the Polar MM5 Webpage, http://polarmet.mps.ohio-state.edu/PolarMet/pmm5.html Please reference the following publication if you use the data in a publication: Monaghan, A. J., D. H. Bromwich, and S.-H. Wang, 2006: Recent trends in Antarctic snow accumulation from Polar MM5. Philosophical Trans. Royal. Soc. A, 364, 1683-1708. proprietary
brownbay_bathy_dem_1 A bathymetric Digital Elevation Model (DEM) of Brown Bay, Windmill Islands ALL STAC Catalog 1997-02-01 2000-02-05 110.54, -66.281, 110.548, -66.279 https://cmr.earthdata.nasa.gov/search/concepts/C1214308318-AU_AADC.umm_json This dataset is a Digital Elevation Model (DEM) of Brown Bay, Windmill Islands and contours and bathymetric contours derived from the DEM. The data are stored in a UTM zone 49 projection. They were created by interpolation of point data using Kriging. The input point data comprised soundings and terrestrial contour vertices. THE DATA ARE NOT FOR NAVIGATION PURPOSES. proprietary
brownbay_bathy_dem_1 A bathymetric Digital Elevation Model (DEM) of Brown Bay, Windmill Islands AU_AADC STAC Catalog 1997-02-01 2000-02-05 110.54, -66.281, 110.548, -66.279 https://cmr.earthdata.nasa.gov/search/concepts/C1214308318-AU_AADC.umm_json This dataset is a Digital Elevation Model (DEM) of Brown Bay, Windmill Islands and contours and bathymetric contours derived from the DEM. The data are stored in a UTM zone 49 projection. They were created by interpolation of point data using Kriging. The input point data comprised soundings and terrestrial contour vertices. THE DATA ARE NOT FOR NAVIGATION PURPOSES. proprietary
bryophyte-observer-bias_1.0 Greater observer expertise leads to higher estimates of bryophyte species richness ENVIDAT STAC Catalog 2024-01-01 2024-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226081769-ENVIDAT.umm_json This dataset contains bryophyte species count data and information about the observers bryophyte expertise for 2332 relevés conducted from 2011 to 2021 on 10-m2 plots in a long-term monitoring program in Switzerland. Plots were situated in raised bogs and fens of national importance, which were distributed across the whole country. The majority of the plots is represented by two relevés as sites are revisited every six years. The dataset was used in the paper mentioned below to test if species richness estimates differed among categories of observer expertise. Moser T, Boch S, Bedolla A, Ecker KT, Graf UH, Holderegger R, Küchler H, Pichon NA, Bergamini A (2024) Greater observer expertise leads to higher estimates of bryophyte species richness. _Journal of Vegetation Science_. (submitted) proprietary
@@ -17320,14 +17322,14 @@ bunger_hills_spot5_dem_gis_1 Bunger Hills SPOT5 DEM (Digital Elevation Model) AU
bunger_west_sat_1 Bunger Hills West Satellite Image Map 1:50 000 AU_AADC STAC Catalog 1992-06-01 1992-06-30 100, -66, 101, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214313353-AU_AADC.umm_json Satellite image map of Bunger Hills West/Wilkes Land, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG Commercial (now Geoscience Australia), in Australia, in 1992. The map is at a scale of 1:50000, and was produced from four multispectral space imagery SPOT 1 scenes. It is projected on a Transverse Mercator projection, and shows glaciers/ice shelves, stations/bases and gives some historical text information. The map has both geographical and UTM co-ordinates. proprietary
burning_emissions_752_1 SAFARI 2000 Biomass Burning Emissions, Selected Sites, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-11-24 2001-01-16 10, -35, 50, 0 https://cmr.earthdata.nasa.gov/search/concepts/C2789024214-ORNL_CLOUD.umm_json Biomass burning is a major source for gaseous and particulate atmospheric pollution over southern Africa and globally. The purpose of this study was to quantify biomass burning emissions in an attempt to better understand and predict associated environmental impacts. Sixty biomass burning experiments were carried out November 2000-January 2001 in three regions of southern Africa that are representative of major regional ecosystem types: Etosha National Park (Namibia), Kruger National Park (South Africa), and woodland sites in Zambia and Malawi. proprietary
bvoc_flux_759_1 SAFARI 2000 BVOC Measurements at Skukuza and Maun Flux Towers, Wet Season 2001 ORNL_CLOUD STAC Catalog 2001-02-01 2001-02-12 23.55, -19.9, 23.55, -19.9 https://cmr.earthdata.nasa.gov/search/concepts/C2780105326-ORNL_CLOUD.umm_json Biogenic volatile organic compound (BVOC) emissions were measured in a Colophospermum mopane woodland near Maun, Botswana, and in a Combretum-Acacia savanna in Kruger National Park, 13 km from Skukuza, Republic of South Africa (RSA) during the 2001 wet season campaign of SAFARI 2000. In addition, relaxed eddy accumulation (REA) measurements of BVOC fluxes were made on flux towers at these sites, where net CO2 emissions were also measured simultaneously. proprietary
-c05fa2267e6e03d0e5b9bb6429fdbb974a8194a1 3 year daily average solar exposure map Mali 3Km GRAS August 2008-2011 ALL STAC Catalog 2008-03-01 2011-03-31 -15, 8, 5, 28 https://cmr.earthdata.nasa.gov/search/concepts/C1214604040-SCIOPS.umm_json This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for August. proprietary
c05fa2267e6e03d0e5b9bb6429fdbb974a8194a1 3 year daily average solar exposure map Mali 3Km GRAS August 2008-2011 SCIOPS STAC Catalog 2008-03-01 2011-03-31 -15, 8, 5, 28 https://cmr.earthdata.nasa.gov/search/concepts/C1214604040-SCIOPS.umm_json This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for August. proprietary
+c05fa2267e6e03d0e5b9bb6429fdbb974a8194a1 3 year daily average solar exposure map Mali 3Km GRAS August 2008-2011 ALL STAC Catalog 2008-03-01 2011-03-31 -15, 8, 5, 28 https://cmr.earthdata.nasa.gov/search/concepts/C1214604040-SCIOPS.umm_json This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for August. proprietary
c0b9f42f-640a-44e0-9080-7e80081942c9_NA MERIS - Water Parameters - North Sea, Daily FEDEO STAC Catalog 2005-04-22 2010-03-18 -6.10393, 49.9616, 11.4301, 61.9523 https://cmr.earthdata.nasa.gov/search/concepts/C2207458012-FEDEO.umm_json The Medium Resolution Imaging Spectrometer (MERIS) on Board ESA’s ENVISAT provides spectral high resolution image data in the visible-near infrared spectral region (412-900 nm) at a spatial resolution of 300 m. For more details on ENVISAT and MERIS see http://envisat.esa.int/ This product developed in the frame of the MAPP project (MERIS Application and Regional Products Projects) represents the chlorophyll concentration of the North Sea derived from MERIS data. The product is a cooperative effort of DLR-DFD and the Institute for Coastal Research at the GKSS Research Centre Geesthacht. DFD pre-processed up to the value added level whenever MERIS data for the North Sea region was received and positively checked for a water area large enough for a suitable interpretation. For more details the reader is referred tohttp://wdc.dlr.de/sensors/meris/ and http://wdc.dlr.de/sensors/meris/documents/Mapp_ATBD_final_i3r0dez2001.pdfThis product provides daily maps. proprietary
c183044b88734442b6d37f5c4f6b0092_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (ensemble product), Version 2.6 FEDEO STAC Catalog 2002-01-01 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143201-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily, monthly and yearly gridded aerosol products from the AATSR instrument on the ENVISAT satellite. The data is an uncertainty-weighted ensemble of the outputs of three separate algorithms (the SU, ADV, and ORAC algorithms.) This product is version 2.6 of the ensemble product. Data is provided for the period 2002 to 2012. In the early period, it also contains data from the ATSR-2 instrument on the ERS-2 satellite. A separate ATSR-2 product covering the period 1995-2001 is also available, and together these form a continuous timeseries from 1995-2012.For further details about these data products please see the documentation. proprietary
c241e665-5175-4c26-b0cd-f0dfee32afdb Earthquakes events from ANSS 1970-March 2011 CEOS_EXTRA STAC Catalog 1970-01-02 2011-04-01 -180, -58, 180, 85.03594 https://cmr.earthdata.nasa.gov/search/concepts/C2232847370-CEOS_EXTRA.umm_json This dataset includes earthqakes events with magnitudes higher than 5.0 as reported by the Advanced national Seismic System (ANSS) Catalogue over the period 1970 - March 2011. UNEP/GRID-Europe processed the intensity buffer of each event following a methodology developped in GRAVITY I and II (http://www.grid.unep.ch/product/publication/download/ew_gravity1.pdf and http://www.grid.unep.ch/product/publication/download/ew_gravity2.pdf). Credit: Earthquakes events (USGS/ANSS), Intensity buffers UNEP/GRID-Europe. Attributes descriptions: EV_ID: Event ID ISO3YEAR: Country and year ISO3: Country ISO3 ID_NAT: Event ID and ISO3 ID_CAT: ANSS ID YEAR: Year START_DATE: Year, Month and Day (YYYYMMDD) MAG: Earthquake magnitude DEPTH: Earthquake depth (kilometer) RADIUS_M: Buffer radius following Gravity I and II methodology (meter) LATITUDE: Latitude (decimal degrees) proprietary
c2af8764c84744de87a69db7fecf7af9_NA ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 06.1 FEDEO STAC Catalog 1991-08-05 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142704-FEDEO.umm_json The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.The v06.1 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.The data set should be cited using the following references:1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-20192. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001 proprietary
-c2d1361c3fcbc6c7b60b35791f7bbc45bf8079dc 3 year daily average solar exposure map Mali 3Km GRAS January 2008-2011 SCIOPS STAC Catalog 1970-01-01 -15, 8, 5, 28 https://cmr.earthdata.nasa.gov/search/concepts/C1214603977-SCIOPS.umm_json This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for January. proprietary
c2d1361c3fcbc6c7b60b35791f7bbc45bf8079dc 3 year daily average solar exposure map Mali 3Km GRAS January 2008-2011 ALL STAC Catalog 1970-01-01 -15, 8, 5, 28 https://cmr.earthdata.nasa.gov/search/concepts/C1214603977-SCIOPS.umm_json This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for January. proprietary
+c2d1361c3fcbc6c7b60b35791f7bbc45bf8079dc 3 year daily average solar exposure map Mali 3Km GRAS January 2008-2011 SCIOPS STAC Catalog 1970-01-01 -15, 8, 5, 28 https://cmr.earthdata.nasa.gov/search/concepts/C1214603977-SCIOPS.umm_json This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for January. proprietary
c4_percent_1deg_932_1 ISLSCP II C4 Vegetation Percentage ORNL_CLOUD STAC Catalog 1993-01-01 1998-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784880272-ORNL_CLOUD.umm_json The photosynthetic composition (C3 or C4) of vegetation on the land surface is essential for accurate simulations of biosphere-atmosphere exchanges of carbon, water, and energy. C3 and C4 plants have different responses to light, temperature, CO2, and nitrogen; they also differ in physiological functions like stomatal conductance and isotope fractionation. A fine-scale distribution of these plant types is essential for earth science modeling.The C4 percentage is determined from data sets that describe the continuous distribution of plant growth forms (i.e., the percent of a grid cell covered by herbaceous or woody vegetation), climate classifications, the fraction of a grid cell covered in croplands, and national crop type harvest area statistics. The staff from the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II have made the original data set consistent with the ISLSCP-2 land/water mask. This data set contains a single file in ArcInfo ASCIIGRID format.This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. proprietary
c4a7495d-6275-4169-8ceb-59cfaa2dd09b_NA METOP GOME-2 - Water Vapour (H2O) - Global FEDEO STAC Catalog 2007-01-23 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207458016-FEDEO.umm_json The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational H2O total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV/VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The total H2O column is retrieved from GOME solar backscattered measurements in the red wavelength region (614-683.2 nm), using the Differential Optical Absorption Spectroscopy (DOAS) method. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/ proprietary
c4aaero_1 CAMEX-4 AEROSONDE V1 GHRC_DAAC STAC Catalog 2001-08-19 2001-09-10 -81.4325, 30.2039, -80.649, 30.5738 https://cmr.earthdata.nasa.gov/search/concepts/C1979080632-GHRC_DAAC.umm_json The CAMEX-4 Aerosonde dataset contains temperature, humidity, and atmospheric pressure measurements collected to study the boundary layer below levels where traditional hurricane reconnasissance aircaft fly. The Aerosonde is an unmanned aerial vehicle with a wingspan of 2.9 meters (~9 feet) weighing approximately 14 kg (~31 lbs). Carrying a payload of air pressure, temperature and humidity probes, the aircraft can fly at altitudes from near the surface to 21,000 feet at speeds of 50-95 mph for periods of up to 30 hours. Controlled by dual computers and navigated by GPS, the Aerosonde is designed to economically collect meteorological data over a wide area. proprietary
@@ -17429,8 +17431,8 @@ climate_iceberg_1 Antarctic CRC and Australian Antarctic Division Climate Data S
climate_pressure_1 ACE CRC and Australian Antarctic Division Climate Data Set - Mean monthly surface air pressure AU_AADC STAC Catalog 1901-01-01 1998-12-31 -180, -80, 180, -17 https://cmr.earthdata.nasa.gov/search/concepts/C1214313319-AU_AADC.umm_json This dataset consists of tabulations of mean monthly surface air pressure for most occupied stations in Antarctic and the Southern Ocean. Some South Pacific Island stations are also included, along with a few continent based stations. The data have been collected from various climate sources world wide, and spans varying years ranging between 1901 and 2002. proprietary
climate_pressure_1 ACE CRC and Australian Antarctic Division Climate Data Set - Mean monthly surface air pressure ALL STAC Catalog 1901-01-01 1998-12-31 -180, -80, 180, -17 https://cmr.earthdata.nasa.gov/search/concepts/C1214313319-AU_AADC.umm_json This dataset consists of tabulations of mean monthly surface air pressure for most occupied stations in Antarctic and the Southern Ocean. Some South Pacific Island stations are also included, along with a few continent based stations. The data have been collected from various climate sources world wide, and spans varying years ranging between 1901 and 2002. proprietary
climate_sea_ice_1 Antarctic CRC and Australian Antarctic Division Climate Data Set - Northern extent of Antarctic sea ice AU_AADC STAC Catalog 1973-01-18 1996-12-19 -180, -80, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214313423-AU_AADC.umm_json This dataset contains the digitisation of one U.S. Navy/NOAA Joint Ice Facility sea ice extent and concentration map monthly to give the latitude and longitude of the northern extent of the Antarctic sea ice. Maps were produced weekly, but have been digitised monthly, since distribution began in January 1973 (except August 1985), until December 1996. Maps were digitised at each 10 degrees of longitude, and the longitude, distance from the south pole to the northern edge of the sea ice at that longitude, and latitude of that edge is given, as well as the mean distance and latitude for that map. Summary tabulations (sea ice northern extent latitudes at each 10 degree of longitude each year, grouped by month) and mean monthly sea ice extent statistics are also available. proprietary
-climate_temps_1 ACE CRC and Australian Antarctic Division Climate Data Set - Mean monthly surface air temperatures AU_AADC STAC Catalog 1901-01-01 2002-12-31 -180, -80, 180, -17 https://cmr.earthdata.nasa.gov/search/concepts/C1214313410-AU_AADC.umm_json This dataset consists of tabulations of mean monthly surface air temperature for most occupied stations in Antarctic and the Southern Ocean. Some South Pacific Island stations are also included, along with a few continent based stations. The data have been collected from various climate sources world wide, and spans varying years ranging between 1901 and 2002. proprietary
climate_temps_1 ACE CRC and Australian Antarctic Division Climate Data Set - Mean monthly surface air temperatures ALL STAC Catalog 1901-01-01 2002-12-31 -180, -80, 180, -17 https://cmr.earthdata.nasa.gov/search/concepts/C1214313410-AU_AADC.umm_json This dataset consists of tabulations of mean monthly surface air temperature for most occupied stations in Antarctic and the Southern Ocean. Some South Pacific Island stations are also included, along with a few continent based stations. The data have been collected from various climate sources world wide, and spans varying years ranging between 1901 and 2002. proprietary
+climate_temps_1 ACE CRC and Australian Antarctic Division Climate Data Set - Mean monthly surface air temperatures AU_AADC STAC Catalog 1901-01-01 2002-12-31 -180, -80, 180, -17 https://cmr.earthdata.nasa.gov/search/concepts/C1214313410-AU_AADC.umm_json This dataset consists of tabulations of mean monthly surface air temperature for most occupied stations in Antarctic and the Southern Ocean. Some South Pacific Island stations are also included, along with a few continent based stations. The data have been collected from various climate sources world wide, and spans varying years ranging between 1901 and 2002. proprietary
climatological-snow-data-1998-2022-oshd_1.0 Climatological snow data since 1998, OSHD ENVIDAT STAC Catalog 2023-01-01 2023-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226081762-ENVIDAT.umm_json This dataset comprises the climatology on gridded data of snow water equivalent and snow melt runoff spanning 1998-2022, with a spatial resolution of 1 km and daily temporal resolution. This data was produced with the conceptual OSHD model (Temperature Index Model). proprietary
climwat CLIMWAT, A Climatic Database CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2232283619-CEOS_EXTRA.umm_json CLIMWAT is a climatic database to be used in combination with the computer program CROPWAT and allows the ready calculation of crop water requirements, irrigation supply and irrigation scheduling for various crops for a range of climatological stations worldwide. The CLIMWAT database includes data from a total of 3262 meteorological stations from 144 countries. CLIMWAT is published as Irrigation and Drainage paper No 49 in 1994 and includes a Manual with description of the use of the database with CROPWAT The data are contained in five diskettes included in the publication and can be ordered as FAO Irrigation and Drainage Paper 49 through the FAO Sales and Marketing Group. [Summary provided by the FAO.] proprietary
cmar_wh CSIRO Marine Data Warehouse (OBIS Australia) CEOS_EXTRA STAC Catalog 1978-02-05 1997-08-30 114, -44, 155, -8 https://cmr.earthdata.nasa.gov/search/concepts/C2226653616-CEOS_EXTRA.umm_json The CSIRO Marine Data Warehouse is a repository for biological and other marine survey data collected by CSIRO Division of Marine and Atmospheric Research (CMAR), Australia. It contains field (observational) data from numerous research trawls and other fisheries-related surveys conducted in waters around Australia by the Division since the late 1970s. At time of writing (April 2006) the database is serving approximately 106,000 species-level records to OBIS. Multiple species records and those of taxa not identified to species level are presently excluded. Associated data include species counts and/or weights in some but not all cases. proprietary
@@ -17476,8 +17478,8 @@ daily-solute-and-isotope-of-stream-water-and-precipitation_1.0 Daily data of sol
daily_precip_est_793_1 SAFARI 2000 Daily Rainfall Estimates, 0.1-Deg, Southern Africa, 1993-2001 ORNL_CLOUD STAC Catalog 1993-01-01 2001-12-31 10, -34, 50, 0 https://cmr.earthdata.nasa.gov/search/concepts/C2789731186-ORNL_CLOUD.umm_json The Microwave InfraRed Algorithm (MIRA) is used to produce an imagery data set of daily mean rain rates at 0.1 degree spatial resolution over southern Africa for the period 1993-2001. MIRA combines passive microwave (PMW) from the Special Sensor Microwave/Imager (SSM/I) on board the DMSP F10 and F14 satellites at a resolution of 0.5 degrees and infrared (IR) data from the Meteosat 4, 5, 6, and 7 satellites in 2-hour slots at a resolution of 5 km. This approach accounts for the limitations of both data types in estimating precipitation. Rainfall estimates are produced at the high spatial and temporal frequency of the IR data using rainfall information from the PMW data. An IR/rain rate relationship, variable in space and time, is derived from coincident observations of IR and PMW rain rate (accumulated over a calibration domain) using the probability matching method. The IR/rain rate relationship is then applied to IR imagery at full temporal resolution. The results presented here are the daily means of those derived rain rates at 0.1 degree spatial resolution.The rainfall data sets are flat binary images with no headers. They are compressed band sequential (bsq) files that contain all of the daily images for the given year. Each image is an array of 401 lines, each with 341 binary floating-point numbers, containing rainfall at 0.1 degree resolution for the area 10 to 50 degrees longitude and 0 to -34 degrees latitude. The number of band sequential images in each annual file and the associated dates can be found in the file MIRA_data_dates.csv. proprietary
dalmolin_thurmodeling1_1.0 Data for: Understanding dominant controls on streamflow spatial variability to set-up a semi-distributed hydrological model: the case study of the Thur catchment ENVIDAT STAC Catalog 2020-01-01 2020-01-01 8.5830688, 47.1112614, 9.6377563, 47.6246779 https://cmr.earthdata.nasa.gov/search/concepts/C2789814894-ENVIDAT.umm_json This study documents the development of a semi-distributed hydrological model aimed at reflecting the dominant controls on observed streamflow spatial variability. The process is presented through the case study of the Thur catchment (Switzerland, 1702 km2), an alpine and pre–alpine catchment where streamflow (measured at 10 subcatchments) has different spatial characteristics in terms of amounts, seasonal patterns, and dominance of baseflow. In order to appraise the dominant controls on streamflow spatial variability, and build a model that reflects them, we follow a two–stages approach. In a first stage, we identify the main climatic or landscape properties that control the spatial variability of streamflow signatures. This stage is based on correlation analysis, complemented by expert judgment to identify the most plausible cause-effect relationships. In a second stage, the results of the previous analysis are used to develop a set of model experiments aimed at determining an appropriate model representation of the Thur catchment. These experiments confirm that only a hydrological model that accounts for the heterogeneity of precipitation, snow related processes, and landscape features such as geology, produces hydrographs that have signatures similar to the observed ones. This model provides consistent results in space–time validation, which is promising for predictions in ungauged basins. The presented methodology for model building can be transferred to other case studies, since the data used in this work (meteorological variables, streamflow, morphology and geology maps) is available in numerous regions around the globe. proprietary
danger_descriptions_avalanche_bulletin_switzerland_1.0 How is avalanche danger described in textual descriptions in avalanche forecasts in Switzerland? ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.8886719, 45.7984239, 10.5908203, 47.6804285 https://cmr.earthdata.nasa.gov/search/concepts/C2789814949-ENVIDAT.umm_json The data set contains the danger descriptions (German) of the avalanche forecasts published at 5 pm between 27-Nov-2012 and 13-Feb-2020. proprietary
-darling_sst_00 2000 Seawater Temperatures at the Darling Marine Center SCIOPS STAC Catalog 2000-01-01 2000-12-31 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214621651-SCIOPS.umm_json 2000 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center, Walpole, Maine proprietary
darling_sst_00 2000 Seawater Temperatures at the Darling Marine Center ALL STAC Catalog 2000-01-01 2000-12-31 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214621651-SCIOPS.umm_json 2000 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center, Walpole, Maine proprietary
+darling_sst_00 2000 Seawater Temperatures at the Darling Marine Center SCIOPS STAC Catalog 2000-01-01 2000-12-31 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214621651-SCIOPS.umm_json 2000 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center, Walpole, Maine proprietary
darling_sst_01 2001 Seawater Temperatures at the Darling Marine Center ALL STAC Catalog 2001-01-01 2001-04-20 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214612276-SCIOPS.umm_json 2001 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center Walpole, Maine. proprietary
darling_sst_01 2001 Seawater Temperatures at the Darling Marine Center SCIOPS STAC Catalog 2001-01-01 2001-04-20 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214612276-SCIOPS.umm_json 2001 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center Walpole, Maine. proprietary
darling_sst_82-93 1982-1989 and 1993 Seawater Temperatures at the Darling Marine Center SCIOPS STAC Catalog 1982-03-01 1993-12-31 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214621676-SCIOPS.umm_json Seawater Surface Temperature Data Collected between the years 1982-1989 and 1993 off the dock at the Darling Marine Center, Walpole, Maine proprietary
@@ -17739,20 +17741,20 @@ fieldsunp_65_1 Optical Thickness Data: Ground (OTTER) ORNL_CLOUD STAC Catalog 19
fieldwork_lawdome_1964_1 Field work results carried out on Law Dome and Wilkes Land, 1964 AU_AADC STAC Catalog 1964-01-01 1964-12-31 110, -70, 115, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214313469-AU_AADC.umm_json A collection of notes and field data collected in traverse work on Law Dome/Wilkes Land in 1964. Includes data on gravity, air pressure (barometric levelling), air temperature, wind, snow accumulation stakes, ice movement. Also includes results from S2 pit measurements. proprietary
fife_AF_dtrnd_nae_3_1 Aircraft Flux-Detrended: NRCC (FIFE) ALL STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968494372-ORNL_CLOUD.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary
fife_AF_dtrnd_nae_3_1 Aircraft Flux-Detrended: NRCC (FIFE) ORNL_CLOUD STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968494372-ORNL_CLOUD.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary
-fife_AF_dtrnd_ncar_5_1 Aircraft Flux-Detrended: Univ. Col. (FIFE) ALL STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968514600-ORNL_CLOUD.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary
fife_AF_dtrnd_ncar_5_1 Aircraft Flux-Detrended: Univ. Col. (FIFE) ORNL_CLOUD STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968514600-ORNL_CLOUD.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary
-fife_AF_dtrnd_wyo_4_1 Aircraft Flux-Detrended: U of Wy. (FIFE) ALL STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968504925-ORNL_CLOUD.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary
+fife_AF_dtrnd_ncar_5_1 Aircraft Flux-Detrended: Univ. Col. (FIFE) ALL STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968514600-ORNL_CLOUD.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary
fife_AF_dtrnd_wyo_4_1 Aircraft Flux-Detrended: U of Wy. (FIFE) ORNL_CLOUD STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968504925-ORNL_CLOUD.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary
-fife_AF_filtr_nae_6_1 Aircraft Flux-Filtered: NRCC (FIFE) ORNL_CLOUD STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968516479-ORNL_CLOUD.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary
+fife_AF_dtrnd_wyo_4_1 Aircraft Flux-Detrended: U of Wy. (FIFE) ALL STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968504925-ORNL_CLOUD.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary
fife_AF_filtr_nae_6_1 Aircraft Flux-Filtered: NRCC (FIFE) ALL STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968516479-ORNL_CLOUD.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary
+fife_AF_filtr_nae_6_1 Aircraft Flux-Filtered: NRCC (FIFE) ORNL_CLOUD STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968516479-ORNL_CLOUD.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary
fife_AF_filtr_ncar_8_1 Aircraft Flux-Filtered: Univ. Col. (FIFE) ORNL_CLOUD STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968522986-ORNL_CLOUD.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary
fife_AF_filtr_ncar_8_1 Aircraft Flux-Filtered: Univ. Col. (FIFE) ALL STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968522986-ORNL_CLOUD.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary
-fife_AF_filtr_wyo_7_1 Aircraft Flux-Filtered: U of Wy. (FIFE) ORNL_CLOUD STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968521064-ORNL_CLOUD.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary
fife_AF_filtr_wyo_7_1 Aircraft Flux-Filtered: U of Wy. (FIFE) ALL STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968521064-ORNL_CLOUD.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary
-fife_AF_raw_nae_9_1 Aircraft Flux-Raw: NRCC (FIFE) ORNL_CLOUD STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968531540-ORNL_CLOUD.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary
+fife_AF_filtr_wyo_7_1 Aircraft Flux-Filtered: U of Wy. (FIFE) ORNL_CLOUD STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968521064-ORNL_CLOUD.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary
fife_AF_raw_nae_9_1 Aircraft Flux-Raw: NRCC (FIFE) ALL STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968531540-ORNL_CLOUD.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary
-fife_AF_raw_ncar_11_1 Aircraft Flux-Raw: Univ. Col. (FIFE) ALL STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968534531-ORNL_CLOUD.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary
+fife_AF_raw_nae_9_1 Aircraft Flux-Raw: NRCC (FIFE) ORNL_CLOUD STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968531540-ORNL_CLOUD.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary
fife_AF_raw_ncar_11_1 Aircraft Flux-Raw: Univ. Col. (FIFE) ORNL_CLOUD STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968534531-ORNL_CLOUD.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary
+fife_AF_raw_ncar_11_1 Aircraft Flux-Raw: Univ. Col. (FIFE) ALL STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968534531-ORNL_CLOUD.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary
fife_AF_raw_wyo_10_1 Aircraft Flux-Raw: U of Wy. (FIFE) ALL STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968533497-ORNL_CLOUD.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary
fife_AF_raw_wyo_10_1 Aircraft Flux-Raw: U of Wy. (FIFE) ORNL_CLOUD STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2968533497-ORNL_CLOUD.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary
fife_atmos_brut_drv_14_1 Atmos. Profile: Std. Press. Level (FIFE) ORNL_CLOUD STAC Catalog 1987-05-26 1989-08-12 -96.56, 39.12, -96.56, 39.12 https://cmr.earthdata.nasa.gov/search/concepts/C2978502225-ORNL_CLOUD.umm_json Derived (5mb interval) radiosonde observations from Wilf Brutsaert's data proprietary
@@ -17824,8 +17826,8 @@ fife_sur_met_hday_met_39_1 Historic Daily Meteorology Data (FIFE) ORNL_CLOUD STA
fife_sur_met_hmon_met_40_1 Historic Monthly Meteorology Data (FIFE) ORNL_CLOUD STAC Catalog 1858-01-01 1989-12-01 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2980078028-ORNL_CLOUD.umm_json Manhattan, KS. average rainfall measurements for every month since January 1858 proprietary
fife_sur_met_ncdc_sur_122_1 Surface Meteorology Data: NCDC (FIFE) ORNL_CLOUD STAC Catalog 1988-10-01 1989-10-31 -97.87, 37.62, -95.48, 40.85 https://cmr.earthdata.nasa.gov/search/concepts/C2980787683-ORNL_CLOUD.umm_json NCDC surface meteorology data for 1989 proprietary
fife_sur_met_noaa_sur_58_1 NOAA Regional Surface Data (FIFE) ORNL_CLOUD STAC Catalog 1985-07-02 1988-10-23 -97, 39, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2980450611-ORNL_CLOUD.umm_json Hourly surface weather reports collected by NESDIS for stations near FIFE proprietary
-fife_sur_met_rain_30m_2_1 30 Minute Rainfall Data (FIFE) ORNL_CLOUD STAC Catalog 1987-05-29 1987-10-26 -96.6, 39.08, -96.55, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C2977893818-ORNL_CLOUD.umm_json 30 minute rainfall data for the Konza Prairie proprietary
fife_sur_met_rain_30m_2_1 30 Minute Rainfall Data (FIFE) ALL STAC Catalog 1987-05-29 1987-10-26 -96.6, 39.08, -96.55, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C2977893818-ORNL_CLOUD.umm_json 30 minute rainfall data for the Konza Prairie proprietary
+fife_sur_met_rain_30m_2_1 30 Minute Rainfall Data (FIFE) ORNL_CLOUD STAC Catalog 1987-05-29 1987-10-26 -96.6, 39.08, -96.55, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C2977893818-ORNL_CLOUD.umm_json 30 minute rainfall data for the Konza Prairie proprietary
fife_sur_met_rain_day_29_1 Daily Rainfall Data (FIFE) ORNL_CLOUD STAC Catalog 1982-04-27 1989-12-30 -96.61, 39.07, -96.55, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C2980036855-ORNL_CLOUD.umm_json Daily rainfall data, by site & date proprietary
fife_sur_refl_gem_helo_38_1 Gemma Helicopter Data (FIFE) ORNL_CLOUD STAC Catalog 1989-08-04 1989-08-12 -96.61, 38.98, -96.45, 39.19 https://cmr.earthdata.nasa.gov/search/concepts/C2980074218-ORNL_CLOUD.umm_json Spectral reflected radiances measured with Russian GEMMA spectrometer from a helicopter proprietary
fife_sur_refl_irt_grnd_72_1 Radiant Temperature Ground Data (FIFE) ORNL_CLOUD STAC Catalog 1989-06-15 1989-08-11 -96.55, 39.05, -96.54, 39.09 https://cmr.earthdata.nasa.gov/search/concepts/C2980521154-ORNL_CLOUD.umm_json Surface temperatures collected w/ Everest Infrared Temperature Transducer proprietary
@@ -17935,8 +17937,8 @@ geodata_0065 Matthews Cultivation Intensity CEOS_EXTRA STAC Catalog 1991-01-01 1
geodata_0066 Matthews Vegetation CEOS_EXTRA STAC Catalog 1991-01-01 1991-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848148-CEOS_EXTRA.umm_json Matthews Seasonal Integrated Albedo data set includes four data files for Winter, Spring, Summer and Autumn (January, April, July and October respectively in the Northern Hemisphere; and July, October, January and April for the Southern Hemisphere). They show the seasonal percentage of incoming radiation reflected into space, integrated across the electro-magnetic spectrum. These are based on the vegetation and cultivation intensity maps, rather than being measured directly, and are for snow-free conditions except for permanently snow-covered continental ice proprietary
geodata_0067 Annual Precipitation CEOS_EXTRA STAC Catalog 1970-01-01 2002-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848191-CEOS_EXTRA.umm_json The original data took the form of a value for each month and each box on a 0.5 degree latitude / longitude grid. The annual values are the average of their constituent months, they have been calculated by GRID-Geneva. Original Data Station observations were first collected by national meteorological, hydrological and related services, and were acquired through the free and unrestricted exchange of meteorological and related data. These observations were gridded by collaborators at the Climatic Research Unit (www.cru.uea.ac.uk). The gridded data-set is publicly available, and has been published in a peer-reviewed scientific journal. Data Source: CRU TS 2.10 Jan 2004 T. D. Mitchell, Tyndall Centre Reference: Mitchell T.D. and Jones P.D. 2005 An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int. J. Climatol. 25: 693-712 proprietary
geodata_0100 Central Government Debt CEOS_EXTRA STAC Catalog 1990-01-01 2009-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232847771-CEOS_EXTRA.umm_json Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year. Source: International Monetary Fund, Government Finance Statistics Yearbook and data files. proprietary
-geodata_0123 Agricultural Production Index Base 1999-2001 - Total CEOS_EXTRA STAC Catalog 1961-01-01 2009-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848356-CEOS_EXTRA.umm_json The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 1999-2001. They are based on the sum of price-weighted quantities of different agricultural commodities produced after deductions of quantities used as seed and feed weighted in a similar manner. The resulting aggregate represents, therefore, disposable production for any use except as seed and feed. The commodities covered in the computation of indices of agricultural production are all crops and livestock products originating in each country. Practically all products are covered, with the main exception of fodder crops. Net Production Index Number (PIN) base 1999-2001 Presents Net Production (Production - Feed - Seed) indices. All indices are calculated by the Laspeyres formula. Net production quantities of each commodity are weighted by 1999-2001average international commodity prices and summed for each year. To obtain the index, the aggregate for a given year is divided by the average aggregate for the base period 1999-2001. Indices are calculated from net production data presented on a calendar year basis. proprietary
geodata_0123 Agricultural Production Index Base 1999-2001 - Total ALL STAC Catalog 1961-01-01 2009-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848356-CEOS_EXTRA.umm_json The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 1999-2001. They are based on the sum of price-weighted quantities of different agricultural commodities produced after deductions of quantities used as seed and feed weighted in a similar manner. The resulting aggregate represents, therefore, disposable production for any use except as seed and feed. The commodities covered in the computation of indices of agricultural production are all crops and livestock products originating in each country. Practically all products are covered, with the main exception of fodder crops. Net Production Index Number (PIN) base 1999-2001 Presents Net Production (Production - Feed - Seed) indices. All indices are calculated by the Laspeyres formula. Net production quantities of each commodity are weighted by 1999-2001average international commodity prices and summed for each year. To obtain the index, the aggregate for a given year is divided by the average aggregate for the base period 1999-2001. Indices are calculated from net production data presented on a calendar year basis. proprietary
+geodata_0123 Agricultural Production Index Base 1999-2001 - Total CEOS_EXTRA STAC Catalog 1961-01-01 2009-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848356-CEOS_EXTRA.umm_json The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 1999-2001. They are based on the sum of price-weighted quantities of different agricultural commodities produced after deductions of quantities used as seed and feed weighted in a similar manner. The resulting aggregate represents, therefore, disposable production for any use except as seed and feed. The commodities covered in the computation of indices of agricultural production are all crops and livestock products originating in each country. Practically all products are covered, with the main exception of fodder crops. Net Production Index Number (PIN) base 1999-2001 Presents Net Production (Production - Feed - Seed) indices. All indices are calculated by the Laspeyres formula. Net production quantities of each commodity are weighted by 1999-2001average international commodity prices and summed for each year. To obtain the index, the aggregate for a given year is divided by the average aggregate for the base period 1999-2001. Indices are calculated from net production data presented on a calendar year basis. proprietary
geodata_0162 Biogeographical Provinces CEOS_EXTRA STAC Catalog 2000-01-01 2000-12-31 -33.19, -41.41, 62.62, 40.04 https://cmr.earthdata.nasa.gov/search/concepts/C2232847219-CEOS_EXTRA.umm_json "Biogeographical realms were established by Udvardy on the basis of geographic and historic elements, utilizing ground-breaking work as appears on this topic in the published literature. Udvardy's paper makes reference to at least three preceding reports on this topic, and also includes an extensive bibliography of five pages. There are 8 biogeographical realms recognized by Udvardy in Paper #18: the Palearctic, the Nearctic, the Afrotropical, the Indomalayan, the Oceanian, the Australian, the Antarctic and the Neotropical. The proper reference for this data set is ""Udvardy, Miklos D. F. 1975. A Classification of the Biogeographical Provinces of the World. IUCN Occasional Paper No. 18, prepared as a contribution to UNESCO's Man and the Biosphere (MAB) Program, Project No. 8. International Union for the Conservation of Nature and Natural Resources, Morges (now Gland), Switzerland, 49 pages."" A source citation should include IUCN, as digitized by UNEP/GRID in 1986." proprietary
geodata_0165 Mean Annual Rainfall CEOS_EXTRA STAC Catalog 2000-01-01 2000-12-31 -33.19, -41.41, 62.62, 40.04 https://cmr.earthdata.nasa.gov/search/concepts/C2232847515-CEOS_EXTRA.umm_json "Precipitation is ""average annual"", and is expressed in terms of millimeters (mm.) per year; Average Days of Precipitation (""Wet Days"") is number of days per year; and Average Windspeed is expressed in terms of meters per second (note that this is not maximum windspeed, nor is there any directional content included in this data set). It is GRID's assumption that the definition of a ""wet day"" is one in which enough precipitation occurred on a given day so as to be recordable by a gauging station at a particular location." proprietary
geodata_0179 Forests - Original CEOS_EXTRA STAC Catalog 9999-01-01 9999-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232849373-CEOS_EXTRA.umm_json UNEP-WCMC has been gathering and compiling spatial data on the extent and conservation status of forests since 1987. Until 1995, WCMC's work focused on tropical moist forests because of their high species diversity. GIS data were first assembled for closed moist tropical forests and used to publish the three volumes of the Conservation Atlas of Tropical Forests, covering Asia (1991), Africa (1992) and the Americas (1996). Because digital data were rare at this time, the process of assembling the forest cover data sets involved digitizing manually many paper maps. Continuing on from the tropical moist forest mapping, the next major initiative was to create the first 'World Forest Map'. This was produced in 1996 and was the first digital global forest map showing actual forest extent and protected areas with forested land. Since this achievement, significant work has been carried out to improve data sources and fill in gaps which occurred in this first attempt. This led to the production of the 'Global Overview of Forest Conservation CDROM' in 1997. proprietary
@@ -17952,8 +17954,8 @@ geodata_0261 Groundwater Produced Internally CEOS_EXTRA STAC Catalog 1958-01-01
geodata_0271 Fishery Production - Marine CEOS_EXTRA STAC Catalog 1960-01-01 2007-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848156-CEOS_EXTRA.umm_json TOTAL PRODUCTION The annual series of capture production begin in 1950. Data relate to nominal catch of fish, crustaceans and mollusks*, taken for commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included. Data include all quantities caught and landed for both food and feed purposes but exclude discards. Catches of fish, crustaceans and molluscs are expressed in live weight, that is the nominal weight of the aquatic organisms at the time of capture. To assign nationality to catches, the flag of the fishing vessel is used, unless the wording of chartering and joint operation contracts indicates otherwise. * includes all FAOSTAT group excepted aquatic animals nei, aquatic plants, aquatic mammals proprietary
geodata_0278 Exclusive Fishing Zone (EFZ) CEOS_EXTRA STAC Catalog 2000-01-01 2000-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848807-CEOS_EXTRA.umm_json The exclusive fishing zone or fishery zone refers to an area beyond the outer limit of the territorial sea (12 nautical miles from the coast) in which the coastal State has the right to fish, subject to any concessions which may be granted to foreign fishermen. Some countries have made no claim beyond the territorial sea. Some States have claimed an exclusive fishing zone instead of the more encompassing 200 nautical mile Exclusive Economic Zone (EEZ). The United Nations Convention on the Law of the Sea (UNCLOS) is an international agreement that sets conditions and limits on the use and exploitation of the oceans. This Convention also sets the rules for the maritime jurisdictional boundaries of the different member states. The UNCLOS was opened for signature on 10 December 1982 in Montego Bay, Jamaica, and it entered into force on 16 November 1994. As of January 2000, there are 132 countries that have ratified UNCLOS. Under UNCLOS, coastal States can claim sovereign rights in a 200-nautical mile exclusive economic zone (EEZ). This allows for sovereign rights over the EEZ in terms of exploration, exploitation, conservation and management of all natural resources in the seabed, its subsoil, and overlaying waters. UNCLOS allows other states to navigate and fly over the EEZ, as well as to lay submarine cables and pipelines. The inner limit of the EEZ starts at the outer boundary of the Territorial Sea (i.e., 12 nautical miles from the low-water line along the coast). Some States have not ratified UNCLOS and many have not yet claimed their EEZ. Given the uncertainties surrounding much of the delimitation of the fishing zones, these figures should be used with caution. Further information on the Web site: http://www.maritimeboundaries.com/ proprietary
geodata_0279 Claimed Exclusive Economic Zone (EEZ) CEOS_EXTRA STAC Catalog 2000-01-01 2000-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848800-CEOS_EXTRA.umm_json "The United Nations Convention on the Law of the Sea (UNCLOS) is an international agreement that sets conditions and limits on the use and exploitation of the oceans. This Convention also sets the rules for the maritime jurisdictional boundaries of the different member states. The UNCLOS was opened for signature on 10 December 1982 in Montego Bay, Jamaica, and it entered into force on 16 November 1994. As of January 2000, there are 132 countries that have ratified UNCLOS. Under UNCLOS, coastal States can claim sovereign rights in a 200-nautical mile exclusive economic zone (EEZ). This allows for sovereign rights over the EEZ in terms of exploration, exploitation, conservation and management of all natural resources in the seabed, its subsoil and overlaying waters. UNCLOS allows other states to navigate and fly over the EEZ, as well as to lay submarine cables and pipelines. The inner limit of the EEZ starts at the outer boundary of the Territorial Sea (i.e., 12 nautical miles from the low-water line along the coast). In cases where a country's low-water lines is within 400 nautical miles of each other the EEZ boundaries are generally established by treaty, though there are many cases where these are in dispute. Under UNCLOS, ""land-locked and geographically disadvantaged States have the right to participate on an equitable basis in exploitation of an appropriate part of the surplus of the living resources of the EEZ's of coastal States of the same region or sub-region."" Some States have not ratified UNCLOS and many have not yet claimed their EEZ. These areas of unclaimed EEZ are the areas that a State has the right to claim under UNCLOS, but has not done so yet. Given the uncertainties surrounding much of the delimitation of the EEZ, these figures should be used with caution. Further information on the Web site: http://www.maritimeboundaries.com/ " proprietary
-geodata_0290 Administrative Boundaries - First Level (ESRI) CEOS_EXTRA STAC Catalog 1998-01-01 1998-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848662-CEOS_EXTRA.umm_json The sub Country Administrative Units 1998 GeoDataset represents a small-scale political map of the world. The data are generalized and were designed for display at scales to about 1:10,000,000. The data were generalized from ESRI's ArcWorld Supplement Map data. Country codes are from U.S. Federal Information Processing Standards (FIPS) version 10-4. proprietary
geodata_0290 Administrative Boundaries - First Level (ESRI) ALL STAC Catalog 1998-01-01 1998-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848662-CEOS_EXTRA.umm_json The sub Country Administrative Units 1998 GeoDataset represents a small-scale political map of the world. The data are generalized and were designed for display at scales to about 1:10,000,000. The data were generalized from ESRI's ArcWorld Supplement Map data. Country codes are from U.S. Federal Information Processing Standards (FIPS) version 10-4. proprietary
+geodata_0290 Administrative Boundaries - First Level (ESRI) CEOS_EXTRA STAC Catalog 1998-01-01 1998-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848662-CEOS_EXTRA.umm_json The sub Country Administrative Units 1998 GeoDataset represents a small-scale political map of the world. The data are generalized and were designed for display at scales to about 1:10,000,000. The data were generalized from ESRI's ArcWorld Supplement Map data. Country codes are from U.S. Federal Information Processing Standards (FIPS) version 10-4. proprietary
geodata_0291 Dams CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848575-CEOS_EXTRA.umm_json Construction of reservoirs became a worldwide activity in the second half of the twentieth century. The total storage capacity of the large reservoirs is more than 100 million cubic meters, which makes up more than 95% of water accumulated in all the reservoirs of the world. The total area of the more than 60,000 reservoirs that have been built in the last 50 years exceeds more than 100,000 square kilometers. This is an area equivalent to 11 water bodies the size of the Sea of Azov or five the size of Lake Superior. These man-made lakes affect natural and economic conditions over an area of 1.5 million square kilometers. Many of the world's large rivers, such as the Volga, Angara, Missouri, Colorado, and Parana Rivers, have been transformed into cascades of reservoirs. Construction and use of reservoirs cause inevitable changes in the environment, both positive and negative. Environmental changes can include overflowing and swamping; transformation of coasts; changes of soil, vegetation, and fauna; and changes of reproduction and habitat conditions of various aquatic organisms, especially fish and blue-green algae. The impact of reservoirs on the environment is diverse and contradictory. proprietary
geodata_0295 Global Vegetation Index 1983-1990 CEOS_EXTRA STAC Catalog 1991-01-01 1991-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848459-CEOS_EXTRA.umm_json "The NOAA/GVI (Global Vegetation Index; see reference pg. 3) Eight-Year Mean Maximum data set was developed in the following manner. First, eight years of NOAA/GVI Monthly Maximum data were obtained from GRID's Geneva archive of these data*. At GRID-Nairobi, an analyst then used these data files (12 per year) to calculate yearly mean maximum images, and the eight yearly mean images were averaged in their turn, in order to create a single eight-year mean maximum image. The original idea had been to produce an eight-year :hp2.maximum:ehp2. value image, but this was abandoned due to the accretion of ""noise"" from spurious maximum-value pixels in the individual data files (UNEP/GRID, 1990). * - GRID-Geneva has compiled an archive of NOAA/GVI Weekly data from the U.S. National Oceanic and Atmospheric Administration / National Environmental Satellite Data and Information Service / National Climate Data Center / Satellite Data Services Division (or the NOAA / NESDIS / NCDC / SDSD). This collection covers the period from April 1982 to present. At GRID-Geneva, the Weekly data are used to create Monthly, Seasonal and Annual Maximum images, in addition to the archived NOAA/GVI Weekly data. " proprietary
geodata_0331 Agriculture Value Added - Percent of GDP CEOS_EXTRA STAC Catalog 1960-01-01 2009-12-31 -180, -90, 180, -60.5033 https://cmr.earthdata.nasa.gov/search/concepts/C2232848745-CEOS_EXTRA.umm_json Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator. Source: World Bank national accounts data, and OECD National Accounts data files. proprietary
@@ -18316,21 +18318,21 @@ goesrpltsolma_1 GOES-R PLT Southern Ontario Lightning Mapping Array (LMA) V1 GHR
goesrpltwtlma_1 GOES-R PLT West Texas Lightning Mapping Array (LMA) V1 GHRC_DAAC STAC Catalog 2017-03-01 2017-06-01 -101.833, 33.597, -101.813, 33.617 https://cmr.earthdata.nasa.gov/search/concepts/C1977516629-GHRC_DAAC.umm_json The GOES-R PLT West Texas Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the West Texas LMA (WTXLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017. proprietary
goeswvt_1 GOES WATER VAPOR TRANSPORT V1 GHRC_DAAC STAC Catalog 1987-05-05 1988-11-30 -120, -30, -30, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1995554230-GHRC_DAAC.umm_json The GOES Water Vapor Transport CD contains nineteen months of geostationary satellite-derived products from the GOES-8 satellite spanning the 1987-1988 El Nino Southern Oscillation (ENSO) cycle. Water vapor transport variables was derived using the Marshall Automated Winds (MAW) tracking algorithm from GOES data are provided in daily and monthly gridded and non-gridded formats. Relative humidity was calculated using a modified version of the brightness temperature to relative humidity conversion technique. Pressure heights were assigned to each wind vector using the simple IR window technique. Data are available in binary and McIDAS format. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov proprietary
gom_bathymetry Digital Bathymetric Data for the Gulf of Maine CEOS_EXTRA STAC Catalog 1970-01-01 -71.5, 39.5, -63, 46 https://cmr.earthdata.nasa.gov/search/concepts/C2231551983-CEOS_EXTRA.umm_json Gridded bathymetry and topography at 15 arc second (~1/2 km grid cell size) and a 30 arc second (~1 km grid cell size) resolution were constructed for the Gulf of Maine (Longitude = 71.5 - 63 W, Latitude = 39.5 - 46 N) using available digital bathymety datasets. In addition to the grids themselves, valuable ancillary products such as corrected sounding data, digital bathymetric contour lines and shaded-relief maps were generated and are available in a variety of formats, including Arc, Matlab, GMT and ASCII. See http://pubs.usgs.gov/of/1998/of98-801/ proprietary
-gomc_156 Adopt-a-Tide Pool SCIOPS STAC Catalog 1990-01-01 -70.923, 42.489, -70.763, 42.577 https://cmr.earthdata.nasa.gov/search/concepts/C1214586152-SCIOPS.umm_json Salem Sound Coastwatch trains volunteers to monitor tide pools through the Adopt-A-Tide pool program. Volunteers will help us focus special attention on local tide pools and catalog the diversity of both native and invasive species. This information will be passed on to scientists working on strategies to address marine invasive species. Waterbody or Watershed Names: Salem Sound proprietary
gomc_156 Adopt-a-Tide Pool ALL STAC Catalog 1990-01-01 -70.923, 42.489, -70.763, 42.577 https://cmr.earthdata.nasa.gov/search/concepts/C1214586152-SCIOPS.umm_json Salem Sound Coastwatch trains volunteers to monitor tide pools through the Adopt-A-Tide pool program. Volunteers will help us focus special attention on local tide pools and catalog the diversity of both native and invasive species. This information will be passed on to scientists working on strategies to address marine invasive species. Waterbody or Watershed Names: Salem Sound proprietary
+gomc_156 Adopt-a-Tide Pool SCIOPS STAC Catalog 1990-01-01 -70.923, 42.489, -70.763, 42.577 https://cmr.earthdata.nasa.gov/search/concepts/C1214586152-SCIOPS.umm_json Salem Sound Coastwatch trains volunteers to monitor tide pools through the Adopt-A-Tide pool program. Volunteers will help us focus special attention on local tide pools and catalog the diversity of both native and invasive species. This information will be passed on to scientists working on strategies to address marine invasive species. Waterbody or Watershed Names: Salem Sound proprietary
gomc_162 Circulation and Contaminant Transport in Massachusetts Coastal Waters CEOS_EXTRA STAC Catalog 1977-01-01 -70.95037, 42.09017, -70.26193, 42.61774 https://cmr.earthdata.nasa.gov/search/concepts/C2231548638-CEOS_EXTRA.umm_json U.S. Geological Survey studies show that the concentrations of metals in surface sediments of Boston Harbor are decreasing with time. This conclusion is supported by analysis of (1) surface sediments collected at monitoring stations in the outer harbor between 1977 and 1993, (2) sediment cores from depositional areas of the harbor, and (3) historical data from a contaminated-sediment data base, which includes information on metal and organic contaminants and sediment texture. During the 16 years of the continuing study, chromium, lead, mercury, silver, and zinc concentrations in surface sediments have decreased by about 50 percent. Although these trends are indeed encouraging, concentrations of some metals in harbor sediments are still above levels considered toxic to certain bottom-dwelling organisms. Type: Bay Waterbody or Watershed Names: Boston Harbor proprietary
gomc_219 2001 Long Island Sound Study Ambient Water Quality and Monitoring Program SCIOPS STAC Catalog 1970-01-01 -74.3, 40.5, -71.75, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214585922-SCIOPS.umm_json The Interstate Environmental Commission is a joint agency of the States of New York, New Jersey, and Connecticut. The IEC was established in 1936 under a Compact between New York and New Jersey and approved by Congress. The State of Connecticut joined the Commission in 1941. Waterbody or Watershed Names: Long Island Sound proprietary
gomc_219 2001 Long Island Sound Study Ambient Water Quality and Monitoring Program ALL STAC Catalog 1970-01-01 -74.3, 40.5, -71.75, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214585922-SCIOPS.umm_json The Interstate Environmental Commission is a joint agency of the States of New York, New Jersey, and Connecticut. The IEC was established in 1936 under a Compact between New York and New Jersey and approved by Congress. The State of Connecticut joined the Commission in 1941. Waterbody or Watershed Names: Long Island Sound proprietary
gomc_323 ACAP Saint John's Community Environmental Monitoring Program (CEMP) ALL STAC Catalog 1992-01-01 -66.25, 45, -65.25, 46 https://cmr.earthdata.nasa.gov/search/concepts/C1214585928-SCIOPS.umm_json Parameters measured included: ammonia nitrogen, orthophosphate, dissolved oxygen, pH, turbidity, salinity, faecal coliform. proprietary
gomc_323 ACAP Saint John's Community Environmental Monitoring Program (CEMP) SCIOPS STAC Catalog 1992-01-01 -66.25, 45, -65.25, 46 https://cmr.earthdata.nasa.gov/search/concepts/C1214585928-SCIOPS.umm_json Parameters measured included: ammonia nitrogen, orthophosphate, dissolved oxygen, pH, turbidity, salinity, faecal coliform. proprietary
-gomc_40 Air Quality Monitoring In New Brunswick SCIOPS STAC Catalog 1970-01-01 -145.27, 37.3, -48.11, 87.61 https://cmr.earthdata.nasa.gov/search/concepts/C1214586182-SCIOPS.umm_json We know that air pollution can have an effect on the health of our environment and on human health. People who have respiratory difficulties are particularly sensitive to poor air quality. Children are frequently affected because of their physiology and because they tend to be more active outdoors. Monitoring air quality in New Brunswick helps us to better understand the sources, movements and effects of various substances in the air we breathe. The data we collect helps us to control sources of air pollution within our province, and to negotiate with governments in other jurisdictions for controls on air pollution that crosses borders. The more we know, the more effectively we can work to protect and enhance our air quality and our environment. proprietary
gomc_40 Air Quality Monitoring In New Brunswick ALL STAC Catalog 1970-01-01 -145.27, 37.3, -48.11, 87.61 https://cmr.earthdata.nasa.gov/search/concepts/C1214586182-SCIOPS.umm_json We know that air pollution can have an effect on the health of our environment and on human health. People who have respiratory difficulties are particularly sensitive to poor air quality. Children are frequently affected because of their physiology and because they tend to be more active outdoors. Monitoring air quality in New Brunswick helps us to better understand the sources, movements and effects of various substances in the air we breathe. The data we collect helps us to control sources of air pollution within our province, and to negotiate with governments in other jurisdictions for controls on air pollution that crosses borders. The more we know, the more effectively we can work to protect and enhance our air quality and our environment. proprietary
+gomc_40 Air Quality Monitoring In New Brunswick SCIOPS STAC Catalog 1970-01-01 -145.27, 37.3, -48.11, 87.61 https://cmr.earthdata.nasa.gov/search/concepts/C1214586182-SCIOPS.umm_json We know that air pollution can have an effect on the health of our environment and on human health. People who have respiratory difficulties are particularly sensitive to poor air quality. Children are frequently affected because of their physiology and because they tend to be more active outdoors. Monitoring air quality in New Brunswick helps us to better understand the sources, movements and effects of various substances in the air we breathe. The data we collect helps us to control sources of air pollution within our province, and to negotiate with governments in other jurisdictions for controls on air pollution that crosses borders. The more we know, the more effectively we can work to protect and enhance our air quality and our environment. proprietary
gone-wild-grapevines-in-forests_1.0 Gone-wild grapevines in forests may act as a potential habitat for “Flavescence dorée” phytoplasma vectors and inoculum ENVIDAT STAC Catalog 2023-01-01 2023-01-01 8.4347534, 45.8809865, 9.2422485, 46.5159373 https://cmr.earthdata.nasa.gov/search/concepts/C3226082143-ENVIDAT.umm_json Dataset used to test the potential role of gone-wild grapevines (GWGV) in forests of Southern Switzerland as a source of Flavescence dorée phytoplasma (FDp) inoculum and as a habitat for its main and alternative vectors, Scaphoideus titanus and Orientus ishidae. In the first phase, GWGV were located and sampled to test their FDp status. In addition, a set of chromotropic traps were placed to monitor the presence and abundance of FDp vectors. In the second phase, wood from GWGV in forests was collected and placed in cages to test the potential oviposition activity by FDp vectors. The results showed that GWGV in forests are a reservoir of FDp and that they can sustain the whole life cycle of both S.titanus and O.ishidae. Eventually, the need to adapt the current FD management strategies are highlighted. proprietary
gov.noaa.ncdc:C00842_Version 1.2 Blended 6-Hourly Sea Surface Wind Vectors and Wind Stress on a Global 0.25 Degree Grid (1987-2011) NOAA_NCEI STAC Catalog 1987-07-09 2011-09-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093688-NOAA_NCEI.umm_json The Blended Global Sea Surface Winds products contain ocean surface wind vectors and wind stress on a global 0.25 degree grid, in multiple time resolutions of 6-hourly and monthly, with an 11-year (1995-2005) monthly climatology. Daily files from a direct average of the 6-hourly data were also produced but are not included in this archive. The period of record is July 9, 1987 to September 30, 2011 for product Version 1.2, released in July 2007. Wind speeds were generated by blending available and selected microwave and scatterometer observations using a Simple spatiotemporally weighted Interpolation (SI) method. The following satellite retrieval datasets from Remote Sensing Systems (RSS) were used for Version 1.2: SSMI Version 6, TMI Version 4, QSCAT Version 3a, and AMSRE Version 5 (updated using the SSMI rain rate). The wind directions are from the NCEP-DOE Reanalysis 2 (NRA-2). The model wind directions are interpolated onto the blended wind speed grids. The 6-hourly satellite-scaled global 0.25-degree grid wind stresses are computed as: taux_s = -[(w_s/w_m)**2]*taux_m tauy_s = -[(w_s/w_m)**2]*tauy_m where 's' indicates satellite-scaled values and 'm' indicates NRA-2 model values interpolated to the satellite grid. Files are in netCDF format and available to users via FTP and THREDDS. A near real-time (NRT) variant of the product is generated quasi-daily to satisfy the needs of real-time users. The publicly available NRT data were replaced by the delayed-mode research quality data on a monthly basis through the end of September 2011, at which time the Seawinds production was impacted by the loss of data from the AMSR-E instrument failure. Production of the delayed-mode research products ends with the loss of AMSR-E in Version 1.2; a future version will extend beyond September 2011. The NRT products are continued after September 2011; however, this archive only includes the delayed-mode research products as the NRT data have a lower maturity rating removing the basis for archiving those data. proprietary
gov.noaa.ncdc:C01381_Not Applicable AVHRR/HIRS Longwave Radiation Budget Data (RBUD) NOAA_NCEI STAC Catalog 2000-03-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093896-NOAA_NCEI.umm_json Radiation Budget Data - The Radiation Budget product suite is produced from the primary morning and afternoon Polar Orbiters. Product shows a measure of the longwave radiation emitted (W/m^2) by the earth-atmosphere system to space. The observations are displayed on a one degree equal area map for the day and night. The products are: GAC long wave, HIRS long wave, longwave histogram, annual mean, monthly mean, and seasonal mean. This is a NESDIS legacy product and the file naming pattern is as follows: NPR.RBSD.[SatelliteID].D[YYDDD] or NPR.RBMD.[SatelliteID].D[YYDDD] proprietary
gov.noaa.ncdc:C01560_V3 Blended Global Biomass Burning Emissions Product - Extended (GBBEPx) from Multiple Satellites NOAA_NCEI STAC Catalog 2018-01-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107094570-NOAA_NCEI.umm_json The Blended Global Biomass Burning Emissions Product version 3 (GBBEPx V3) system produces global biomass burning emissions. The product contains daily global biomass burning emissions (PM2.5, BC, CO, CO2, OC, and SO2) blended fire observations from MODIS Quick Fire Emission Dataset (QFED), VIIRS (NPP and JPSS-1) fire emissions, and Global Biomass Burning Emission Product from Geostationary satellites (GBBEP-Geo), which are in a grid cell of 0.25 Ã 0.3125 degree and 0.1 x 0.1 degree. It also produces hourly emissions from geostationary satellites, which is at individual fire pixels. The product output also include fire detection record in a HMS format, quality flag in biomass burning emissions, spatial pattern of PM2.5 emissions, and statistic PM2.5 information at continental scale. In Version3, daily biomass burning emissions at a FV3 C384 grid in binary format and daily biomass burning emissions at a 0.1 x 0.1 degree grid that include all the emissions species are added as new output. proprietary
-gov.noaa.ncdc:C01598_Beta4 Adaptive Ecosystem Climatology Beta 4 Model and Satellite Climatology NOAA_NCEI STAC Catalog 1980-01-01 2012-12-31 -98, 18.091, -77.36, 30.73 https://cmr.earthdata.nasa.gov/search/concepts/C2107094643-NOAA_NCEI.umm_json The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One is a climatology derived from satellite data, the other is a climatology derived from a computer model of parts of the ocean that simulates physical and biological phenomena. The satellite climatology has data for chlorophyll concentration and sea surface temperature. The model climatology has fields for sea surface height, temperature, current, and concentrations of various types of plankton on the surface and underwater. Spatial resolution ranges from 1km to 4km depending on the product. These data are in NetCDF version 3 format with metadata attributes included. proprietary
gov.noaa.ncdc:C01598_Beta4 Adaptive Ecosystem Climatology Beta 4 Model and Satellite Climatology ALL STAC Catalog 1980-01-01 2012-12-31 -98, 18.091, -77.36, 30.73 https://cmr.earthdata.nasa.gov/search/concepts/C2107094643-NOAA_NCEI.umm_json The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One is a climatology derived from satellite data, the other is a climatology derived from a computer model of parts of the ocean that simulates physical and biological phenomena. The satellite climatology has data for chlorophyll concentration and sea surface temperature. The model climatology has fields for sea surface height, temperature, current, and concentrations of various types of plankton on the surface and underwater. Spatial resolution ranges from 1km to 4km depending on the product. These data are in NetCDF version 3 format with metadata attributes included. proprietary
+gov.noaa.ncdc:C01598_Beta4 Adaptive Ecosystem Climatology Beta 4 Model and Satellite Climatology NOAA_NCEI STAC Catalog 1980-01-01 2012-12-31 -98, 18.091, -77.36, 30.73 https://cmr.earthdata.nasa.gov/search/concepts/C2107094643-NOAA_NCEI.umm_json The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One is a climatology derived from satellite data, the other is a climatology derived from a computer model of parts of the ocean that simulates physical and biological phenomena. The satellite climatology has data for chlorophyll concentration and sea surface temperature. The model climatology has fields for sea surface height, temperature, current, and concentrations of various types of plankton on the surface and underwater. Spatial resolution ranges from 1km to 4km depending on the product. These data are in NetCDF version 3 format with metadata attributes included. proprietary
gov.noaa.ncdc:C01599_beta6 Adaptive Ecosystem Climatology Beta 6 Satellite Climatology ALL STAC Catalog 1980-01-01 2012-12-31 -135, 22.9276, -62.987, 53 https://cmr.earthdata.nasa.gov/search/concepts/C2107094649-NOAA_NCEI.umm_json The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One is a climatology derived from satellite data, the other is a climatology derived from a computer model of parts of the ocean that simulates physical and biological phenomena. The satellite climatology has data for chlorophyll concentration and sea surface temperature. The model climatology has fields for sea surface height, temperature, current, and concentrations of various types of plankton on the surface and underwater. Spatial resolution ranges from 1km to 4km depending on the product. These data are in NetCDF version 3 format with metadata attributes included. proprietary
gov.noaa.ncdc:C01599_beta6 Adaptive Ecosystem Climatology Beta 6 Satellite Climatology NOAA_NCEI STAC Catalog 1980-01-01 2012-12-31 -135, 22.9276, -62.987, 53 https://cmr.earthdata.nasa.gov/search/concepts/C2107094649-NOAA_NCEI.umm_json The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One is a climatology derived from satellite data, the other is a climatology derived from a computer model of parts of the ocean that simulates physical and biological phenomena. The satellite climatology has data for chlorophyll concentration and sea surface temperature. The model climatology has fields for sea surface height, temperature, current, and concentrations of various types of plankton on the surface and underwater. Spatial resolution ranges from 1km to 4km depending on the product. These data are in NetCDF version 3 format with metadata attributes included. proprietary
gov.noaa.ngdc.mgg.photos:12_Not Applicable April 1906 San Francisco, USA Images NOAA_NCEI STAC Catalog 1906-04-18 1906-04-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705777-NOAA_NCEI.umm_json The 1906 San Francisco earthquake was the largest event (magnitude 8.3) to occur in the conterminous United States in the 20th Century. Recent estimates indicate that as many as 3,000 people lost their lives in the earthquake and ensuing fire. In terms of 1906 dollars, the total property damage amounted to about $24 million from the earthquake and $350 million from the fire. The fire destroyed 28,000 buildings in a 520-block area of San Francisco. proprietary
@@ -18350,12 +18352,12 @@ gov.noaa.ngdc.mgg.photos:52_Not Applicable April 2007 Solomon Islands, Papua New
gov.noaa.nodc:0000015_Not Applicable Alkalinity, dissolved oxygen, nutrients, pH, phosphate, salinity, silicate, and temperature collected by bottle from multiple cruises in the Southern Oceans from 1/15/1958 - 3/2/1990 (NCEI Accession 0000015) NOAA_NCEI STAC Catalog 1958-01-15 1990-03-02 6.05, -70.233333, -47.033333, -26.05 https://cmr.earthdata.nasa.gov/search/concepts/C2089372155-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0000015_Not Applicable Alkalinity, dissolved oxygen, nutrients, pH, phosphate, salinity, silicate, and temperature collected by bottle from multiple cruises in the Southern Oceans from 1/15/1958 - 3/2/1990 (NCEI Accession 0000015) ALL STAC Catalog 1958-01-15 1990-03-02 6.05, -70.233333, -47.033333, -26.05 https://cmr.earthdata.nasa.gov/search/concepts/C2089372155-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0000028_Not Applicable Benthic species - TAXA counts, identities, and wet weights collected by sediment grab from multiple cruises in Prince William Sound, Alaska, from 10/22/1985 - 8/31/1988 (NCEI Accession 0000028) NOAA_NCEI STAC Catalog 1985-10-22 1998-08-31 -146.597, 61.0802, -146.2983, 61.13 https://cmr.earthdata.nasa.gov/search/concepts/C2089372272-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:0000029_Not Applicable 1990, 1991, 1992 and 1995 CRETM/LMER Zooplankton Data Sets (NCEI Accession 0000029) ALL STAC Catalog 1990-09-26 1995-05-26 -124.041667, 0.766667, -16.25, 46.263167 https://cmr.earthdata.nasa.gov/search/concepts/C2089372282-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0000029_Not Applicable 1990, 1991, 1992 and 1995 CRETM/LMER Zooplankton Data Sets (NCEI Accession 0000029) NOAA_NCEI STAC Catalog 1990-09-26 1995-05-26 -124.041667, 0.766667, -16.25, 46.263167 https://cmr.earthdata.nasa.gov/search/concepts/C2089372282-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:0000035_Not Applicable 1996 - Early 1998 CRETM/LMER Phytoplankton Data (NCEI Accession 0000035) NOAA_NCEI STAC Catalog 1996-07-09 1998-03-06 -124.003, 46.179833, -123.183167, 46.261667 https://cmr.earthdata.nasa.gov/search/concepts/C2089372325-NOAA_NCEI.umm_json Pump cast sampling, and associated CTD casts took place from a fixed vessel during one 28-35 day cruise per year in 1990, 1991, 1992, 1995, and 1996. In 1997 there were 2 week cruises in May, July, and October. proprietary
+gov.noaa.nodc:0000029_Not Applicable 1990, 1991, 1992 and 1995 CRETM/LMER Zooplankton Data Sets (NCEI Accession 0000029) ALL STAC Catalog 1990-09-26 1995-05-26 -124.041667, 0.766667, -16.25, 46.263167 https://cmr.earthdata.nasa.gov/search/concepts/C2089372282-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0000035_Not Applicable 1996 - Early 1998 CRETM/LMER Phytoplankton Data (NCEI Accession 0000035) ALL STAC Catalog 1996-07-09 1998-03-06 -124.003, 46.179833, -123.183167, 46.261667 https://cmr.earthdata.nasa.gov/search/concepts/C2089372325-NOAA_NCEI.umm_json Pump cast sampling, and associated CTD casts took place from a fixed vessel during one 28-35 day cruise per year in 1990, 1991, 1992, 1995, and 1996. In 1997 there were 2 week cruises in May, July, and October. proprietary
-gov.noaa.nodc:0000052_Not Applicable 1988 Resurrection Bay Zooplankton Data Set from 01 March 1988 to 28 June 1988 (NCEI Accession 0000052) ALL STAC Catalog 1988-03-01 1988-06-28 -149.4083, 59.9117, -149.3583, 60.02 https://cmr.earthdata.nasa.gov/search/concepts/C2089372461-NOAA_NCEI.umm_json Zooplantkon and beach tar data were collected using plankton net casts in the Gulf of Alaska from the ALPHA HELIX. Data were collected from 01 March 1988 to 28 June 1988 by University of Alaska in Fairbanks; Institute of Marine Science with support from the Gulf of Alaska - 1 (GAK-1) project. proprietary
+gov.noaa.nodc:0000035_Not Applicable 1996 - Early 1998 CRETM/LMER Phytoplankton Data (NCEI Accession 0000035) NOAA_NCEI STAC Catalog 1996-07-09 1998-03-06 -124.003, 46.179833, -123.183167, 46.261667 https://cmr.earthdata.nasa.gov/search/concepts/C2089372325-NOAA_NCEI.umm_json Pump cast sampling, and associated CTD casts took place from a fixed vessel during one 28-35 day cruise per year in 1990, 1991, 1992, 1995, and 1996. In 1997 there were 2 week cruises in May, July, and October. proprietary
gov.noaa.nodc:0000052_Not Applicable 1988 Resurrection Bay Zooplankton Data Set from 01 March 1988 to 28 June 1988 (NCEI Accession 0000052) NOAA_NCEI STAC Catalog 1988-03-01 1988-06-28 -149.4083, 59.9117, -149.3583, 60.02 https://cmr.earthdata.nasa.gov/search/concepts/C2089372461-NOAA_NCEI.umm_json Zooplantkon and beach tar data were collected using plankton net casts in the Gulf of Alaska from the ALPHA HELIX. Data were collected from 01 March 1988 to 28 June 1988 by University of Alaska in Fairbanks; Institute of Marine Science with support from the Gulf of Alaska - 1 (GAK-1) project. proprietary
+gov.noaa.nodc:0000052_Not Applicable 1988 Resurrection Bay Zooplankton Data Set from 01 March 1988 to 28 June 1988 (NCEI Accession 0000052) ALL STAC Catalog 1988-03-01 1988-06-28 -149.4083, 59.9117, -149.3583, 60.02 https://cmr.earthdata.nasa.gov/search/concepts/C2089372461-NOAA_NCEI.umm_json Zooplantkon and beach tar data were collected using plankton net casts in the Gulf of Alaska from the ALPHA HELIX. Data were collected from 01 March 1988 to 28 June 1988 by University of Alaska in Fairbanks; Institute of Marine Science with support from the Gulf of Alaska - 1 (GAK-1) project. proprietary
gov.noaa.nodc:0000064_Not Applicable Arabian Sea Biogeochemistry from 27 August 1994 to 19 December 1994 (NCEI Accession 0000064) NOAA_NCEI STAC Catalog 1994-08-27 1994-12-19 56.5529, 7.7811, 67.3194, 26.0221 https://cmr.earthdata.nasa.gov/search/concepts/C2089372546-NOAA_NCEI.umm_json Arabesque was a multidisciplinary oceanographic research project focused on the Arabian Sea and Northwest Indian Ocean during the monsoon and intermonsoon season in 1994. proprietary
gov.noaa.nodc:0000085_Not Applicable Benthic taxonomy and benthic biomass data collected by the R/V Alpha Helix in support of the ISHTAR Project in the Bering and Chukchi Seas, 1984-1990 (NCEI Accession 0000085) NOAA_NCEI STAC Catalog 1984-06-19 1990-06-21 -175.00118, 60.014, -163.75, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2089372672-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0000103_Not Applicable Bering Sea Inner Front zooplankton data sets collected with CalVet net on four cruises from 6/3/1997 - 9/1/1998 (NCEI Accession 0000103) NOAA_NCEI STAC Catalog 1997-06-01 1998-09-01 -168.745, 55.0372, -159.994, 59.1733 https://cmr.earthdata.nasa.gov/search/concepts/C2089372740-NOAA_NCEI.umm_json Zooplankton and other data were collected using CalVet net in Bering sea from ALPHA HELIX. Data were collected from 01 June 1997 to 01 September 1998 by University of Alaska in Fairbanks with support from the Inner Front project. proprietary
@@ -18373,8 +18375,8 @@ gov.noaa.nodc:0000340_Not Applicable Bacteria and other data from the HERMANO GI
gov.noaa.nodc:0000349_Not Applicable Bottom-mounted water level recorder data in the Gulf of Alaska as part of the Inner Shelf Transport and Recycling (ISHTAR) project from 05 July 1985 to 09 October 1988 (NCEI Accession 0000349) NOAA_NCEI STAC Catalog 1985-07-05 1988-10-09 -172.247, 62.815, -168.22, 68.122 https://cmr.earthdata.nasa.gov/search/concepts/C2089373949-NOAA_NCEI.umm_json Depth, pressure, and water temperature data were collected at fixed platforms in the Gulf of Alaska from July 5, 1985 to October 9, 1988. These data were submitted by the University of Alaska - Fairbanks; Institute of Marine Science as part of the Inner Shelf Transfer and Recycling (ISHTAR) project. proprietary
gov.noaa.nodc:0000354_Not Applicable Chemical, physical, and other data from various cruises in the Northeast Pacific Ocean from 08 July 1974 to 21 August 1983 (NCEI Accession 0000354) NOAA_NCEI STAC Catalog 1974-07-08 1983-08-21 -127.633333, 47, -123.166667, 55.95 https://cmr.earthdata.nasa.gov/search/concepts/C2089373979-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from the YAQUINA, CAYUSE, WECOMA, and THOMAS G. THOMPSON from July 8, 1974 to August 21, 1983. Data were submitted by University of Washington using bottle and CTD casts in Coastal Waters of the Washington/Oregon and Northeast Pacific Ocean. proprietary
gov.noaa.nodc:0000358_Not Applicable Barometric pressure, conductivity, temperature, and water level data from tide gauge from the Florida Department of Environmental Protection Tide Station from 01 January 1977 to 31 December 1999 (NCEI Accession 0000358) NOAA_NCEI STAC Catalog 1997-01-01 1999-12-31 -81.68, 27.15, -80.15, 30.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089373989-NOAA_NCEI.umm_json Barometric pressure, conductivity, temperature, and water level data were collected at fixed platforms in the North Atlantic Ocean and Coastal waters of Florida from January 1, 1977 to December 31, 1999. Data were submitted by Florida Department of Environmental Protection. These data were collected using tide gauge at the fixed locations. proprietary
-gov.noaa.nodc:0000366_Not Applicable Air/delta/sea surface temperature, pressure, and other data from MISS GAIL in a world-wide distribution from 21 October 1957 to 18 April 1961 (NCEI Accession 0000366) NOAA_NCEI STAC Catalog 1957-10-21 1961-04-18 18.7, -43.033333, 16.3, 64.033333 https://cmr.earthdata.nasa.gov/search/concepts/C2089374032-NOAA_NCEI.umm_json Air/delta/sea surface temperature, pressure, and other data were collected from the MISS GAIL in a world-wide distribution from October 21, 1957 to April 18, 1961. Data were submitted by the NOAA Oar Climate Monitoring and Diagnostics Lab. proprietary
gov.noaa.nodc:0000366_Not Applicable Air/delta/sea surface temperature, pressure, and other data from MISS GAIL in a world-wide distribution from 21 October 1957 to 18 April 1961 (NCEI Accession 0000366) ALL STAC Catalog 1957-10-21 1961-04-18 18.7, -43.033333, 16.3, 64.033333 https://cmr.earthdata.nasa.gov/search/concepts/C2089374032-NOAA_NCEI.umm_json Air/delta/sea surface temperature, pressure, and other data were collected from the MISS GAIL in a world-wide distribution from October 21, 1957 to April 18, 1961. Data were submitted by the NOAA Oar Climate Monitoring and Diagnostics Lab. proprietary
+gov.noaa.nodc:0000366_Not Applicable Air/delta/sea surface temperature, pressure, and other data from MISS GAIL in a world-wide distribution from 21 October 1957 to 18 April 1961 (NCEI Accession 0000366) NOAA_NCEI STAC Catalog 1957-10-21 1961-04-18 18.7, -43.033333, 16.3, 64.033333 https://cmr.earthdata.nasa.gov/search/concepts/C2089374032-NOAA_NCEI.umm_json Air/delta/sea surface temperature, pressure, and other data were collected from the MISS GAIL in a world-wide distribution from October 21, 1957 to April 18, 1961. Data were submitted by the NOAA Oar Climate Monitoring and Diagnostics Lab. proprietary
gov.noaa.nodc:0000396_Not Applicable Chlorophyll data from the Coastal waters of Hawaii and Northeast Pacific Ocean to study the responses of the ecosystem to the sewage diversion from the the inner bay to an offshore, deep-water location from 24 September 1976 to 15 June 1979 (NCEI Accession 0000396) NOAA_NCEI STAC Catalog 1976-09-24 1979-06-15 -157.76, 21.4, -157.76, 21.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089374658-NOAA_NCEI.umm_json Chlorophyll data were collected at fixed platforms in the Coastal waters of Hawaii and Northeast Pacific Ocean from September 24, 1976 to June 15, 1979. Data were submitted by the University of Hawaii, Maui. Data were collected using pump sampler. proprietary
gov.noaa.nodc:0000411_Not Applicable Aquatic vegetation were photographed from aircraft from Florida Bay, Indian River (Florida), and the Coast of Massachusetts (NCEI Accession 0000411) NOAA_NCEI STAC Catalog 28.15, -81, 71.3, -41.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089374769-NOAA_NCEI.umm_json "Aerial photographs were taken of the aquatic vegetation of Florida Bay, Indian River (Florida), and the Coast of Massachusetts. Photographs were scanned and geo-referenced for the purpose of mapping. Data is contained on a ""DLT"" tape and is stored ""off-site"" as a secure backup copy." proprietary
gov.noaa.nodc:0000422_Not Applicable An Eighteen-Year Time-Series of Chlorophyll Monthly Averages from Kaneohe Bay, Oahu, Hawaii, 1982 - 2001 (NCEI Accession 0000422) NOAA_NCEI STAC Catalog 1982-06-01 2001-01-31 -157.78, 21.41, -157.78, 24.41 https://cmr.earthdata.nasa.gov/search/concepts/C2089374869-NOAA_NCEI.umm_json Chlorophyll data were collected from a sewage outfall site in Kaneohe Bay, Hawaii, from 1982 to 2001. The purpose of the project was to study the responses of the ecosystem to the sewage diversion from the inner bay to an offshore, deep water location and to continue monitoring the location to denote changes associated with natural environmental and anthropogenic forcing on the primary productivity. Data were submitted by the University of Hawaii at Manoa and funding was provided by the Environmental Protective Agency (EPA). proprietary
@@ -18384,8 +18386,8 @@ gov.noaa.nodc:0000501_Not Applicable A unified, long-term, Caribbean-wide initia
gov.noaa.nodc:0000501_Not Applicable A unified, long-term, Caribbean-wide initiative to identity the factors responsible for sustaining mangrove wetland, seagrass meadow, and coral reef productivity, February 1993 - October 1998 (NCEI Accession 0000501) ALL STAC Catalog 1993-02-12 1998-10-15 -90.583333, 9.583333, -59.633333, 24.05 https://cmr.earthdata.nasa.gov/search/concepts/C2089375341-NOAA_NCEI.umm_json The Caribbean Coastal Marine Productivity (CARICOMP) Program is a Caribbean-wide research and monitoring network of 27 marine laboratories, parks, and reserves in 17 countries. This data set includes data collected from 42 stations at 29 sites in the Caribbean from 1993 to 1998. Line transects were used to determine the abundance of hard and soft corals, algae, sponges, urchins, and biotic material such as substrate type. proprietary
gov.noaa.nodc:0000504_Not Applicable Bacteria, plankton, and trace metal, and other data from bottle and CTD casts in the Antarctic from the NATHANIEL B. PALMER and ROGER REVELLE in support of the US Joint Global Ocean Flux Study / Antarctic Environments Southern Ocean Process Study (JGOFS /AESOPS) from 1996-10-17 to 1998-03-15 (NCEI Accession 0000504) NOAA_NCEI STAC Catalog 1996-10-17 1998-03-15 163.34, -78.05, -165.91, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C2089375350-NOAA_NCEI.umm_json Phytoplankton and other data were collected in the Antarctic from the NATHANIEL B. PALMER and ROGER REVELL from 17 October 1996 to 15 March 1998. Bottle data include enumeration and counts of bacteria, picoplankton, nanoplankton and nano microplankton. Bottle data also include concentrations of trace metals. CTD data include conductivity, temperature, and salinity profiles. Data were collected in support of the US Joint Global Ocean Flux Study / Antarctic Environments Southern Ocean Process Study (JGOFS/AESOPS). proprietary
gov.noaa.nodc:0000525_Not Applicable Chlorophyll and brevetoxin data from the ECOHAB project along the west coast of Florida from 1999-2000 (NCEI Accession 0000525) NOAA_NCEI STAC Catalog 1999-09-10 2000-09-29 -87.23565, 25.44867, -81.71588, 30.39237 https://cmr.earthdata.nasa.gov/search/concepts/C2089375484-NOAA_NCEI.umm_json Water and sediment samples were collected on annual ECOHAB Process cruises and on isolated Mote transects (10/13/99 and 10/20/99). Samples will be analyzed for brevetoxin using a competetive ELISA assay (Naar and Baden, in progress) as well as a receptor-binding assay (VanDolah et al., 1994), and have been analyzed for chlorophyll a (water only) using the Welschmeyer (1994) non-acidification technique. (To be updated when data has been analyzed.) proprietary
-gov.noaa.nodc:0000599_Not Applicable Aids to Navigation (ATONS) GIS data from the Gulf of Mexico and coastal waters of Alabama, Florida, Louisiana, Mississippi and Texas as of 1999-10-21 (NCEI Accession 0000599) NOAA_NCEI STAC Catalog 1999-01-01 1999-10-21 -98.320706, 17.398031, -61.876841, 32.288483 https://cmr.earthdata.nasa.gov/search/concepts/C2089376009-NOAA_NCEI.umm_json "This accession contains a GIS database of Aids to Navigation in the Gulf of Mexico and coastal waters of Alabama, Florida, Louisiana, Mississippi and Texas. These data were compiled on 1999-10-21. The term ""Aids to Navigation"" (ATONS or AIDS) refers to a device outside of a vessel used to assist mariners in determining their position or safe course, or to warn them of obstructions. AIDS to navigation include lighthouses, lights, buoy, sound signals, landmarks, racons, radio beacons, LORAN, and omega. These include AIDS which are installed and maintained by the Coast Guard as well as privately installed and maintained aids (permit required). This does not include unofficial AIDS (illegal) such as stakes, PVC pipes, and such placed without permission. Each USCG District Headquarters is responsible for updating their database on an ""as needed"" basis. When existing AIDS are destroyed or relocated and new AIDS are installed the database is updated. Each AID is assigned an official ""light listing number"". The light list is a document listing the current status of ATONS and it is published and distributed on a regular basis. Interim changes to the light list are published in local Notices to Mariners which are the official means which navigators are supposed to keep their charts current. In addition, the USCG broadcasts Notices to Mariners on the marine band radio as soon as changes of the status of individual AIDS are reported. The light list number and local Notices to Mariners reports are suggested ways to keep the database current on a regular or even ""real time"" basis. However, annual (or more frequent) updates of the entire dataset may be obtained from each USCG District Headquarters. Geographic Information System (GIS) software is required to display the data in this NCEI accession." proprietary
gov.noaa.nodc:0000599_Not Applicable Aids to Navigation (ATONS) GIS data from the Gulf of Mexico and coastal waters of Alabama, Florida, Louisiana, Mississippi and Texas as of 1999-10-21 (NCEI Accession 0000599) ALL STAC Catalog 1999-01-01 1999-10-21 -98.320706, 17.398031, -61.876841, 32.288483 https://cmr.earthdata.nasa.gov/search/concepts/C2089376009-NOAA_NCEI.umm_json "This accession contains a GIS database of Aids to Navigation in the Gulf of Mexico and coastal waters of Alabama, Florida, Louisiana, Mississippi and Texas. These data were compiled on 1999-10-21. The term ""Aids to Navigation"" (ATONS or AIDS) refers to a device outside of a vessel used to assist mariners in determining their position or safe course, or to warn them of obstructions. AIDS to navigation include lighthouses, lights, buoy, sound signals, landmarks, racons, radio beacons, LORAN, and omega. These include AIDS which are installed and maintained by the Coast Guard as well as privately installed and maintained aids (permit required). This does not include unofficial AIDS (illegal) such as stakes, PVC pipes, and such placed without permission. Each USCG District Headquarters is responsible for updating their database on an ""as needed"" basis. When existing AIDS are destroyed or relocated and new AIDS are installed the database is updated. Each AID is assigned an official ""light listing number"". The light list is a document listing the current status of ATONS and it is published and distributed on a regular basis. Interim changes to the light list are published in local Notices to Mariners which are the official means which navigators are supposed to keep their charts current. In addition, the USCG broadcasts Notices to Mariners on the marine band radio as soon as changes of the status of individual AIDS are reported. The light list number and local Notices to Mariners reports are suggested ways to keep the database current on a regular or even ""real time"" basis. However, annual (or more frequent) updates of the entire dataset may be obtained from each USCG District Headquarters. Geographic Information System (GIS) software is required to display the data in this NCEI accession." proprietary
+gov.noaa.nodc:0000599_Not Applicable Aids to Navigation (ATONS) GIS data from the Gulf of Mexico and coastal waters of Alabama, Florida, Louisiana, Mississippi and Texas as of 1999-10-21 (NCEI Accession 0000599) NOAA_NCEI STAC Catalog 1999-01-01 1999-10-21 -98.320706, 17.398031, -61.876841, 32.288483 https://cmr.earthdata.nasa.gov/search/concepts/C2089376009-NOAA_NCEI.umm_json "This accession contains a GIS database of Aids to Navigation in the Gulf of Mexico and coastal waters of Alabama, Florida, Louisiana, Mississippi and Texas. These data were compiled on 1999-10-21. The term ""Aids to Navigation"" (ATONS or AIDS) refers to a device outside of a vessel used to assist mariners in determining their position or safe course, or to warn them of obstructions. AIDS to navigation include lighthouses, lights, buoy, sound signals, landmarks, racons, radio beacons, LORAN, and omega. These include AIDS which are installed and maintained by the Coast Guard as well as privately installed and maintained aids (permit required). This does not include unofficial AIDS (illegal) such as stakes, PVC pipes, and such placed without permission. Each USCG District Headquarters is responsible for updating their database on an ""as needed"" basis. When existing AIDS are destroyed or relocated and new AIDS are installed the database is updated. Each AID is assigned an official ""light listing number"". The light list is a document listing the current status of ATONS and it is published and distributed on a regular basis. Interim changes to the light list are published in local Notices to Mariners which are the official means which navigators are supposed to keep their charts current. In addition, the USCG broadcasts Notices to Mariners on the marine band radio as soon as changes of the status of individual AIDS are reported. The light list number and local Notices to Mariners reports are suggested ways to keep the database current on a regular or even ""real time"" basis. However, annual (or more frequent) updates of the entire dataset may be obtained from each USCG District Headquarters. Geographic Information System (GIS) software is required to display the data in this NCEI accession." proprietary
gov.noaa.nodc:0000630_Not Applicable Baseline marine biological survey at Roi-Namur sewage outfall, United States Army Kwajalein Atoll, Republic of the Marshall Islands, 1997 (NCEI Accession 0000630) NOAA_NCEI STAC Catalog 1997-08-01 1997-08-31 167.44, 9.37, 167.46, 9.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089372128-NOAA_NCEI.umm_json Roi-Namur is located at the northernmost tip of Kwajalein Atoll, approximately 64 kilometers north of the U.S. Army Kwajalein Atoll (USAKA) central command post on Kwajalein Islet. Roi-Namur has a single sewage outfall, which is located at the northwestern corner of the islet. Originally, the outfall extended from shore to a point about halfway across the reef flat where the pipe ended abruptly as an upturned, uncapped elbow. Raw sewage was pumped through the pipe in pulses approximately every 15-20 minutes. Waves and shallow currents across the reef flat carried at least some of the effluent back toward shore and the lagoon, creating a potentially unhealthy situation. In order to correct this problem, USAKA implemented a plan to extend the original outfall all the way across the reef flat and into the open ocean where the predominant current flow would carry effluent-mixed waters away from the islet. Ultimately, the extended outfall was to be connected to a new sewage treatment facility that would discharge primarily treated effluent. Because of a concern that this discharge might adversely impact the coral-reef community surrounding the end of the new outfall, a baseline marine biological survey was to be conducted prior to start-up of the new sewage treatment facility. As planned, the results of this survey would provide a baseline against which the results of future surveys could be compared in order to determine whether a balanced community of indigenous species had been maintained at the site during operation of the facility. If not, conversion to secondary treatment at the facility would need to be considered. The first resurvey was planned to occur one year after start-up of the new sewage treatment facility with subsequent resurveys planned for every five years thereafter. In August 1997, biologists from the U.S. Fish and Wildlife Service (USFWS) and the National Marine Fisheries Service (NMFS) conducted the baseline marine biological survey in the vicinity of the Roi-Namur outfall. For the National Oceanographic Data Center, interest in the report focuses on the marine element. Data tables from marine surveys of reef fishes, corals, other macroinvertebrates, and algae that exist in those habitats are provided. proprietary
gov.noaa.nodc:0000670_Not Applicable Biological assessment of marine resources for the Republic of the Maldives, Indian Ocean, August, 2001 (NCEI Accession 0000670) NOAA_NCEI STAC Catalog 2001-08-22 2001-08-29 72.716667, 2.933333, 73.566667, 5.516667 https://cmr.earthdata.nasa.gov/search/concepts/C2089372434-NOAA_NCEI.umm_json In August 2001, biologists from the U.S. Fish and Wildlife Service and the National Marine Fisheries Service were asked to conduct an assessment of the national government's capability to respond to major threats (e.g. anthropogenic and natural) to the marine habitat of the Republic of the Maldives. A marine survey was conducted at selected locations to assess impacts to the marine environment. Biologists documented reef fishes, corals, other macroinvertebrates, and algae, and provided general descriptions of the benthic community at each of four primary survey sites. proprietary
gov.noaa.nodc:0000703_Not Applicable Chemical, current meter, and other data from current meter, bottle, XBT, and CTD casts in the Gulf of Mexico as part of the Northeastern Gulf of Mexico Physical Oceanographic Program: Chemical Oceanography and Hydrography Study (NEGOM) project, 16 November 1997 to 08 August 2000 (NCEI Accession 0000703) NOAA_NCEI STAC Catalog 1997-11-16 2000-08-08 -89.94, 27.49, -82.83, 30.36 https://cmr.earthdata.nasa.gov/search/concepts/C2089372555-NOAA_NCEI.umm_json Chemical, current meter, and other data were collected using current meter, bottle, XBT, and CTD casts in the Gulf of Mexico from November 16, 1997 to August 8, 2000. Data were submitted by Texas A&M University as part of the Northeastern Gulf of Mexico Physical Oceanographic Program: Chemical Oceanography and Hydrography Study (NEGOM) project. proprietary
@@ -18399,8 +18401,8 @@ gov.noaa.nodc:0000820_Not Applicable Bacteria Biomass and Chlorophyll-a depth pr
gov.noaa.nodc:0000829_Not Applicable Broward County Florida thermographic data collected at twelve locations along four eastward lines that cross three offshore reef Tracks during the time period July 2000 to the present using self-recording temperature gauges (NCEI Accession 0000829) NOAA_NCEI STAC Catalog 2000-07-01 2002-11-30 -80.112007, 26.020458, -80.077343, 26.159952 https://cmr.earthdata.nasa.gov/search/concepts/C2089373393-NOAA_NCEI.umm_json "Broward County Florida has responsibility for the resource management of coral reefs in marine waters adjacent to Broward County. The Department of Planning and Environmental Protection is assigned the duties of monitoring the health of the coral reefs. Environmental stresses are a limiting factor in the biomass and diversity, and maintaining these populations of coral species requires an understanding of the environmental factors. One of these factors is the water temperature. Visual surveys are conducted by divers, and the staff has implemented an environmental monitoring program with water temperature as the first measured parameter. The monitoring program is on a ""not to interfere basis"" using self-recording thermographs for data acquisition. The thermographs are placed along coral reef tracks located in three separate bands near the northern most extent of the natural range for corals. The raw data are captured from the recorder by means of a laptop computer using transfer and conversion software provided by the instrument's vendor. Upon return to the office, the raw data are transferred to separate files that are then loaded into spreadsheet files. Each spreadsheet file corresponds to a single location and only one instrument. Twelve spreadsheet files are updated every sixty days for the dynamic raw data; the static geographical information is stored in a separate spreadsheet file." proprietary
gov.noaa.nodc:0000861_Not Applicable A Hydrographic Survey of the Scotia Sea, 15 March 1999 to 22 April 1999 (NCEI Accession 0000861) NOAA_NCEI STAC Catalog 1999-03-15 1999-04-22 -68.260333, -67.576667, -2.296667, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2089373502-NOAA_NCEI.umm_json CTD and chemical data were collected using CTD and bottle casts in the Drake Passage and Scotia Sea from the JAMES CLARK ROSS. Data were collected from 15 March 1999 to 22 April 1999. Data were collected and submitted by the University of East Anglia with support of the Antarctic Large-scale Box Analysis and the Role of the Scotia Sea (ALBATROSS) project. proprietary
gov.noaa.nodc:0000861_Not Applicable A Hydrographic Survey of the Scotia Sea, 15 March 1999 to 22 April 1999 (NCEI Accession 0000861) ALL STAC Catalog 1999-03-15 1999-04-22 -68.260333, -67.576667, -2.296667, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2089373502-NOAA_NCEI.umm_json CTD and chemical data were collected using CTD and bottle casts in the Drake Passage and Scotia Sea from the JAMES CLARK ROSS. Data were collected from 15 March 1999 to 22 April 1999. Data were collected and submitted by the University of East Anglia with support of the Antarctic Large-scale Box Analysis and the Role of the Scotia Sea (ALBATROSS) project. proprietary
-gov.noaa.nodc:0000879_Not Applicable Abundance data acquired in support of invasive species distribution studies at ten macroalgal ecology and taxonomic assessment sites in Hawaii during 2001 (NCEI Accession 0000879) NOAA_NCEI STAC Catalog 2001-01-26 2001-05-18 -158.14, 19.27, -155.05, 21.37 https://cmr.earthdata.nasa.gov/search/concepts/C2089373608-NOAA_NCEI.umm_json Abundance data represent estimates of percent cover of species type (coral or algal) in 10 randomly placed quadrats along two 50 meter transect lines of each site. Data are available for 10 sites from Oahu to the Island of Hawaii taken in 2001 in support of the Macroalgal Ecology and Taxonomic Assessment (TEAM) Project. The species for abundance estimates include 11 corals, 5 invertebrates, 33 algals, and 2 benthic types (turf or sand). The role that marine algae play in a coral reef system is often overlooked because of lack of knowledge that they are the primary producers in the system. The coral reef ecosystem in Hawaii contains about ten times more algal species than coral species, some of them regulating space that permits coral recruitment. The primary purpose of the TEAM research program is to provide taxonomic and ecological algal expertise for the Coral Reef Monitoring and Assessment Program (CRAMP). Our group also seeks to develop, implement and assess new methodologies for quantitatively surveying benthic algal communities in the Hawaiian Islands. proprietary
gov.noaa.nodc:0000879_Not Applicable Abundance data acquired in support of invasive species distribution studies at ten macroalgal ecology and taxonomic assessment sites in Hawaii during 2001 (NCEI Accession 0000879) ALL STAC Catalog 2001-01-26 2001-05-18 -158.14, 19.27, -155.05, 21.37 https://cmr.earthdata.nasa.gov/search/concepts/C2089373608-NOAA_NCEI.umm_json Abundance data represent estimates of percent cover of species type (coral or algal) in 10 randomly placed quadrats along two 50 meter transect lines of each site. Data are available for 10 sites from Oahu to the Island of Hawaii taken in 2001 in support of the Macroalgal Ecology and Taxonomic Assessment (TEAM) Project. The species for abundance estimates include 11 corals, 5 invertebrates, 33 algals, and 2 benthic types (turf or sand). The role that marine algae play in a coral reef system is often overlooked because of lack of knowledge that they are the primary producers in the system. The coral reef ecosystem in Hawaii contains about ten times more algal species than coral species, some of them regulating space that permits coral recruitment. The primary purpose of the TEAM research program is to provide taxonomic and ecological algal expertise for the Coral Reef Monitoring and Assessment Program (CRAMP). Our group also seeks to develop, implement and assess new methodologies for quantitatively surveying benthic algal communities in the Hawaiian Islands. proprietary
+gov.noaa.nodc:0000879_Not Applicable Abundance data acquired in support of invasive species distribution studies at ten macroalgal ecology and taxonomic assessment sites in Hawaii during 2001 (NCEI Accession 0000879) NOAA_NCEI STAC Catalog 2001-01-26 2001-05-18 -158.14, 19.27, -155.05, 21.37 https://cmr.earthdata.nasa.gov/search/concepts/C2089373608-NOAA_NCEI.umm_json Abundance data represent estimates of percent cover of species type (coral or algal) in 10 randomly placed quadrats along two 50 meter transect lines of each site. Data are available for 10 sites from Oahu to the Island of Hawaii taken in 2001 in support of the Macroalgal Ecology and Taxonomic Assessment (TEAM) Project. The species for abundance estimates include 11 corals, 5 invertebrates, 33 algals, and 2 benthic types (turf or sand). The role that marine algae play in a coral reef system is often overlooked because of lack of knowledge that they are the primary producers in the system. The coral reef ecosystem in Hawaii contains about ten times more algal species than coral species, some of them regulating space that permits coral recruitment. The primary purpose of the TEAM research program is to provide taxonomic and ecological algal expertise for the Coral Reef Monitoring and Assessment Program (CRAMP). Our group also seeks to develop, implement and assess new methodologies for quantitatively surveying benthic algal communities in the Hawaiian Islands. proprietary
gov.noaa.nodc:0000918_Not Applicable Chemical data from bottle casts in the Arctic Ocean and other Sea areas by the University of Alaska, from 16 April 1948 to 17 September 2000 (NCEI Accession 0000918) NOAA_NCEI STAC Catalog 1948-04-16 2000-09-17 -71, 16, -80.123, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089373877-NOAA_NCEI.umm_json Chemical data were collected using bottle casts from multiple vessels in the Arctic Ocean and other Sea areas from 16 April 1948 to 17 September 2000. Data were submitted by the University of Alaska in Fairbanks, Alaska. Chemical data include alkalinity, nitrate, nitrite, oxygen, silicate, and phosphate. proprietary
gov.noaa.nodc:0000931_Not Applicable Aerial surveys of ringed seals (Phoca hispida) on fast and pack ice in the central Beaufort Sea of Alaska, 1985-1987 and 1996-1999 (NCEI Accession 0000931) NOAA_NCEI STAC Catalog 1985-05-28 1999-06-04 -156.9983, 69.6517, -141.025, 71.865 https://cmr.earthdata.nasa.gov/search/concepts/C2089373928-NOAA_NCEI.umm_json These datasets include counts of ringed seals (Phoca hispida) and other marine mammals made during aerial surveys of ringed seals on fast and pack ice of the central Alaskan Beaufort Sea during 1985-1987 and 1996-1999. The datasets includes counts of seals, by group; designation of whether seals were at holes or along cracks; ice conditions including ice deformation and ice type (fast ice or pack ice); weather conditions; time of observations, and location of observations. proprietary
gov.noaa.nodc:0000931_Not Applicable Aerial surveys of ringed seals (Phoca hispida) on fast and pack ice in the central Beaufort Sea of Alaska, 1985-1987 and 1996-1999 (NCEI Accession 0000931) ALL STAC Catalog 1985-05-28 1999-06-04 -156.9983, 69.6517, -141.025, 71.865 https://cmr.earthdata.nasa.gov/search/concepts/C2089373928-NOAA_NCEI.umm_json These datasets include counts of ringed seals (Phoca hispida) and other marine mammals made during aerial surveys of ringed seals on fast and pack ice of the central Alaskan Beaufort Sea during 1985-1987 and 1996-1999. The datasets includes counts of seals, by group; designation of whether seals were at holes or along cracks; ice conditions including ice deformation and ice type (fast ice or pack ice); weather conditions; time of observations, and location of observations. proprietary
@@ -18422,16 +18424,16 @@ gov.noaa.nodc:0001624_Not Applicable Bottle and Pumpcast data collected by CTD c
gov.noaa.nodc:0001746_Not Applicable ALINE time series (NCEI Accession 0001746) NOAA_NCEI STAC Catalog 1989-01-01 2001-01-01 141, 37, 150, 44 https://cmr.earthdata.nasa.gov/search/concepts/C2089372824-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0001746_Not Applicable ALINE time series (NCEI Accession 0001746) ALL STAC Catalog 1989-01-01 2001-01-01 141, 37, 150, 44 https://cmr.earthdata.nasa.gov/search/concepts/C2089372824-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0001756_Not Applicable Assessment of economic benefits and costs of marine managed areas in Hawaii, 1998 - 2003 (NCEI Accession 0001756) NOAA_NCEI STAC Catalog 1998-01-01 2003-12-31 -158.9, 18.8, -154.9, 22.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089372862-NOAA_NCEI.umm_json "This dataset combines the research results from a number of papers carried out under the study ""Assessment of Economic Benefits and Costs of Marine Managed Areas in Hawaii"". The studies included a paper on the fisheries benefits of MMAs (Friedlander and Cesar, 2004), a write-up of the recreational survey at the MMA sites (Van Beukering and Cesar, 2004), a background on the institutional/regulatory framework on MMAs in Hawaii (Cesar, 2004), a paper on the economic value and cost-benefit analysis of management options for MMAs (Van Beukering and Cesar, 2004) and a paper on the international experience of sustainable financing of MMAs (Cesar and van Beukering, 2004). This dataset is basically a set of MS Word documents with mostly social-economic data embedded within tables. The habitat and fish data in this dataset are drawn from other datasets already in the NOAA archives, the NOAA Benthic Habitat Maps and the Coral Reef Assessment and Monitoring Program (CRAMP), respectively." proprietary
-gov.noaa.nodc:0001941_Not Applicable Aerial surveys of bowhead and beluga whales along with incidental sighting of other marine mammals in the Bering, Beaufort and Chukchi Seas for the Bowhead Whale Aerial Survey Project (BWASP), 1979 - 2004 (NCEI Accession 0001941) ALL STAC Catalog 1979-04-01 2004-10-18 -174.01, 57.72, -125.25, 76.14 https://cmr.earthdata.nasa.gov/search/concepts/C2089373265-NOAA_NCEI.umm_json "The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a repeatable protocol from 1982 to the present. Bowhead monitoring by MMS Environmental Studies Section, Alaska Outer Continental Shelf (OCS) Region, normally overlaps the September-October ""open-water"" season when offshore drilling and geophysical exploration are feasible and when the fall subsistence hunt for bowhead whales takes place near Kaktovik, Nuiqsut, and Barrow, Alaska. The primary survey aircraft was a de Havilland Twin Otter Series 300. The aircraft was equipped with three medium-size bubble windows that afforded complete viewing of the track-line. Geographic positions of the aircraft were logged onto a laptop computer from a Global Navigation System (1982-1991) or a Global Positioning System (1992-2000). Prior to 1992, many surveys in Block 12 (See Browse Graphic) were conducted from a Grumman Turbo Goose Model G21G. All bowhead (and beluga) whales observed were recorded, along with incidental sightings of other marine mammals. Particular emphasis was placed on regional surveys to assess large-area shifts in the migration pathway of bowhead whales and on the coordination of effort and management of data necessary to support seasonal offshore-drilling and seismic-exploration regulations. The selection of survey blocks to be flown on a given day was nonrandom, based primarily on criteria such as observed and predicted weather conditions over the study area and offshore oil-industry activities. Otherwise, the project attempted to distribute effort fairly evenly east-to-west across the entire study area. Aerial coverage favored inshore survey blocks (See Browse Graphic), since bowheads were rarely sighted north of these blocks in previous surveys (1979-1986). Surveys were flown at a target altitude of 458 m in order to maximize visibility and to minimize potential disturbance to marine mammals. Flights were normally aborted when cloud ceilings were consistently less than 305 m or the wind force was consistently above Beaufort 4. Daily flight patterns were based on sets of non-repeating transect grids computer-generated for each survey block. Transect grids were derived by dividing each survey block into sections 30 minutes of longitude across. One of the minute marks along the northern edge of each section was selected at random then connected by a straight line to a similarly selected endpoint along the southern edge of that same section. This procedure was followed for all sections of that survey block. These transect legs were then connected alternately at their northernmost or southernmost ends to produce one continuous flight grid within each survey block. Gridlines were occasionally lengthened to cover both an inshore block and the block north of it. Lines were occasionally truncated due to extended poor visibility or to avoid potential interference with subsistence whaling activities. For bowheads encountered ""on transect"", the aircraft sometimes circled for a brief (< 10 min) period to observe behavior, obtain better estimates of their numbers, and/or determine whether calves were present. Any new groups sighted when circling were recorded as ""on search""." proprietary
gov.noaa.nodc:0001941_Not Applicable Aerial surveys of bowhead and beluga whales along with incidental sighting of other marine mammals in the Bering, Beaufort and Chukchi Seas for the Bowhead Whale Aerial Survey Project (BWASP), 1979 - 2004 (NCEI Accession 0001941) NOAA_NCEI STAC Catalog 1979-04-01 2004-10-18 -174.01, 57.72, -125.25, 76.14 https://cmr.earthdata.nasa.gov/search/concepts/C2089373265-NOAA_NCEI.umm_json "The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a repeatable protocol from 1982 to the present. Bowhead monitoring by MMS Environmental Studies Section, Alaska Outer Continental Shelf (OCS) Region, normally overlaps the September-October ""open-water"" season when offshore drilling and geophysical exploration are feasible and when the fall subsistence hunt for bowhead whales takes place near Kaktovik, Nuiqsut, and Barrow, Alaska. The primary survey aircraft was a de Havilland Twin Otter Series 300. The aircraft was equipped with three medium-size bubble windows that afforded complete viewing of the track-line. Geographic positions of the aircraft were logged onto a laptop computer from a Global Navigation System (1982-1991) or a Global Positioning System (1992-2000). Prior to 1992, many surveys in Block 12 (See Browse Graphic) were conducted from a Grumman Turbo Goose Model G21G. All bowhead (and beluga) whales observed were recorded, along with incidental sightings of other marine mammals. Particular emphasis was placed on regional surveys to assess large-area shifts in the migration pathway of bowhead whales and on the coordination of effort and management of data necessary to support seasonal offshore-drilling and seismic-exploration regulations. The selection of survey blocks to be flown on a given day was nonrandom, based primarily on criteria such as observed and predicted weather conditions over the study area and offshore oil-industry activities. Otherwise, the project attempted to distribute effort fairly evenly east-to-west across the entire study area. Aerial coverage favored inshore survey blocks (See Browse Graphic), since bowheads were rarely sighted north of these blocks in previous surveys (1979-1986). Surveys were flown at a target altitude of 458 m in order to maximize visibility and to minimize potential disturbance to marine mammals. Flights were normally aborted when cloud ceilings were consistently less than 305 m or the wind force was consistently above Beaufort 4. Daily flight patterns were based on sets of non-repeating transect grids computer-generated for each survey block. Transect grids were derived by dividing each survey block into sections 30 minutes of longitude across. One of the minute marks along the northern edge of each section was selected at random then connected by a straight line to a similarly selected endpoint along the southern edge of that same section. This procedure was followed for all sections of that survey block. These transect legs were then connected alternately at their northernmost or southernmost ends to produce one continuous flight grid within each survey block. Gridlines were occasionally lengthened to cover both an inshore block and the block north of it. Lines were occasionally truncated due to extended poor visibility or to avoid potential interference with subsistence whaling activities. For bowheads encountered ""on transect"", the aircraft sometimes circled for a brief (< 10 min) period to observe behavior, obtain better estimates of their numbers, and/or determine whether calves were present. Any new groups sighted when circling were recorded as ""on search""." proprietary
-gov.noaa.nodc:0002013_Not Applicable A mesoscale hydrographic survey off Northwest Africa to examine the horizontal mixing by eddies, March - April 2003 (NCEI Accession 0002013) ALL STAC Catalog 2003-03-26 2003-04-16 -31.5, 6.6, -25, 11 https://cmr.earthdata.nasa.gov/search/concepts/C2089373546-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:0001941_Not Applicable Aerial surveys of bowhead and beluga whales along with incidental sighting of other marine mammals in the Bering, Beaufort and Chukchi Seas for the Bowhead Whale Aerial Survey Project (BWASP), 1979 - 2004 (NCEI Accession 0001941) ALL STAC Catalog 1979-04-01 2004-10-18 -174.01, 57.72, -125.25, 76.14 https://cmr.earthdata.nasa.gov/search/concepts/C2089373265-NOAA_NCEI.umm_json "The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a repeatable protocol from 1982 to the present. Bowhead monitoring by MMS Environmental Studies Section, Alaska Outer Continental Shelf (OCS) Region, normally overlaps the September-October ""open-water"" season when offshore drilling and geophysical exploration are feasible and when the fall subsistence hunt for bowhead whales takes place near Kaktovik, Nuiqsut, and Barrow, Alaska. The primary survey aircraft was a de Havilland Twin Otter Series 300. The aircraft was equipped with three medium-size bubble windows that afforded complete viewing of the track-line. Geographic positions of the aircraft were logged onto a laptop computer from a Global Navigation System (1982-1991) or a Global Positioning System (1992-2000). Prior to 1992, many surveys in Block 12 (See Browse Graphic) were conducted from a Grumman Turbo Goose Model G21G. All bowhead (and beluga) whales observed were recorded, along with incidental sightings of other marine mammals. Particular emphasis was placed on regional surveys to assess large-area shifts in the migration pathway of bowhead whales and on the coordination of effort and management of data necessary to support seasonal offshore-drilling and seismic-exploration regulations. The selection of survey blocks to be flown on a given day was nonrandom, based primarily on criteria such as observed and predicted weather conditions over the study area and offshore oil-industry activities. Otherwise, the project attempted to distribute effort fairly evenly east-to-west across the entire study area. Aerial coverage favored inshore survey blocks (See Browse Graphic), since bowheads were rarely sighted north of these blocks in previous surveys (1979-1986). Surveys were flown at a target altitude of 458 m in order to maximize visibility and to minimize potential disturbance to marine mammals. Flights were normally aborted when cloud ceilings were consistently less than 305 m or the wind force was consistently above Beaufort 4. Daily flight patterns were based on sets of non-repeating transect grids computer-generated for each survey block. Transect grids were derived by dividing each survey block into sections 30 minutes of longitude across. One of the minute marks along the northern edge of each section was selected at random then connected by a straight line to a similarly selected endpoint along the southern edge of that same section. This procedure was followed for all sections of that survey block. These transect legs were then connected alternately at their northernmost or southernmost ends to produce one continuous flight grid within each survey block. Gridlines were occasionally lengthened to cover both an inshore block and the block north of it. Lines were occasionally truncated due to extended poor visibility or to avoid potential interference with subsistence whaling activities. For bowheads encountered ""on transect"", the aircraft sometimes circled for a brief (< 10 min) period to observe behavior, obtain better estimates of their numbers, and/or determine whether calves were present. Any new groups sighted when circling were recorded as ""on search""." proprietary
gov.noaa.nodc:0002013_Not Applicable A mesoscale hydrographic survey off Northwest Africa to examine the horizontal mixing by eddies, March - April 2003 (NCEI Accession 0002013) NOAA_NCEI STAC Catalog 2003-03-26 2003-04-16 -31.5, 6.6, -25, 11 https://cmr.earthdata.nasa.gov/search/concepts/C2089373546-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:0002170_Not Applicable 22 Real-time XBT replacements assembled by Canada Department of Fisheries and Oceans (DFO) for the Global Temperature-Salinity Profile Program (GTSPP), dates ranging from 05/26/2004 to 05/27/2004 (NCEI Accession 0002170) NOAA_NCEI STAC Catalog 2004-05-27 2004-05-27 9.106, 31.684, 33.058, 44.043 https://cmr.earthdata.nasa.gov/search/concepts/C2089373990-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:0002013_Not Applicable A mesoscale hydrographic survey off Northwest Africa to examine the horizontal mixing by eddies, March - April 2003 (NCEI Accession 0002013) ALL STAC Catalog 2003-03-26 2003-04-16 -31.5, 6.6, -25, 11 https://cmr.earthdata.nasa.gov/search/concepts/C2089373546-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0002170_Not Applicable 22 Real-time XBT replacements assembled by Canada Department of Fisheries and Oceans (DFO) for the Global Temperature-Salinity Profile Program (GTSPP), dates ranging from 05/26/2004 to 05/27/2004 (NCEI Accession 0002170) ALL STAC Catalog 2004-05-27 2004-05-27 9.106, 31.684, 33.058, 44.043 https://cmr.earthdata.nasa.gov/search/concepts/C2089373990-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:0002192_Not Applicable A survey to characterize the principal components of benthic communities over the entire northern Gulf of Mexico from 1999 to 2002 (NCEI Accession 0002192) ALL STAC Catalog 1999-09-01 2002-08-25 -96.01, 23.49, -85.47, 29.38 https://cmr.earthdata.nasa.gov/search/concepts/C2089374092-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary
+gov.noaa.nodc:0002170_Not Applicable 22 Real-time XBT replacements assembled by Canada Department of Fisheries and Oceans (DFO) for the Global Temperature-Salinity Profile Program (GTSPP), dates ranging from 05/26/2004 to 05/27/2004 (NCEI Accession 0002170) NOAA_NCEI STAC Catalog 2004-05-27 2004-05-27 9.106, 31.684, 33.058, 44.043 https://cmr.earthdata.nasa.gov/search/concepts/C2089373990-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0002192_Not Applicable A survey to characterize the principal components of benthic communities over the entire northern Gulf of Mexico from 1999 to 2002 (NCEI Accession 0002192) NOAA_NCEI STAC Catalog 1999-09-01 2002-08-25 -96.01, 23.49, -85.47, 29.38 https://cmr.earthdata.nasa.gov/search/concepts/C2089374092-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary
-gov.noaa.nodc:0002193_Not Applicable A survey by Texas A & M University to characterize the principal components of benthic communities over the entire northern Gulf of Mexico, 1999 - 2002 (NCEI Accession 0002193) ALL STAC Catalog 1999-09-01 2002-08-01 -96, 23.47, -85.47, 29.33 https://cmr.earthdata.nasa.gov/search/concepts/C2089374098-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary
+gov.noaa.nodc:0002192_Not Applicable A survey to characterize the principal components of benthic communities over the entire northern Gulf of Mexico from 1999 to 2002 (NCEI Accession 0002192) ALL STAC Catalog 1999-09-01 2002-08-25 -96.01, 23.49, -85.47, 29.38 https://cmr.earthdata.nasa.gov/search/concepts/C2089374092-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary
gov.noaa.nodc:0002193_Not Applicable A survey by Texas A & M University to characterize the principal components of benthic communities over the entire northern Gulf of Mexico, 1999 - 2002 (NCEI Accession 0002193) NOAA_NCEI STAC Catalog 1999-09-01 2002-08-01 -96, 23.47, -85.47, 29.33 https://cmr.earthdata.nasa.gov/search/concepts/C2089374098-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary
+gov.noaa.nodc:0002193_Not Applicable A survey by Texas A & M University to characterize the principal components of benthic communities over the entire northern Gulf of Mexico, 1999 - 2002 (NCEI Accession 0002193) ALL STAC Catalog 1999-09-01 2002-08-01 -96, 23.47, -85.47, 29.33 https://cmr.earthdata.nasa.gov/search/concepts/C2089374098-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary
gov.noaa.nodc:0002196_Not Applicable Acoustic doppler current meter data collected in support of the Minerals Management Service-supported Deep Water Program in the the Gulf of Mexico, 1999 - 2003 (NCEI Accession 0002196) ALL STAC Catalog 1999-09-01 2003-08-01 -96, 23.47, -85.47, 29.33 https://cmr.earthdata.nasa.gov/search/concepts/C2089374197-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary
gov.noaa.nodc:0002196_Not Applicable Acoustic doppler current meter data collected in support of the Minerals Management Service-supported Deep Water Program in the the Gulf of Mexico, 1999 - 2003 (NCEI Accession 0002196) NOAA_NCEI STAC Catalog 1999-09-01 2003-08-01 -96, 23.47, -85.47, 29.33 https://cmr.earthdata.nasa.gov/search/concepts/C2089374197-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary
gov.noaa.nodc:0002198_Not Applicable A survey to characterize the principal components of benthic communities over the entire northern Gulf of Mexico, 1999 - 2002 (NCEI Accession 0002198) ALL STAC Catalog 1999-09-01 2002-08-01 -96, 23.49, -85.47, 29.33 https://cmr.earthdata.nasa.gov/search/concepts/C2089374298-NOAA_NCEI.umm_json A research program has been initiated by the Minerals Management Service (Contract No.1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology. Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation. proprietary
@@ -18449,16 +18451,16 @@ gov.noaa.nodc:0002650_Not Applicable A survey of the marine biota of the island
gov.noaa.nodc:0002805_Not Applicable Chlorophyll data collected from the old outfall site in the south sector of Kaneohe Bay, Oahu, Hawaii, February 2001 to May 2004 (NCEI Accession 0002805) NOAA_NCEI STAC Catalog 2001-02-07 2004-05-26 -157.77, 21.41, -157.77, 21.41 https://cmr.earthdata.nasa.gov/search/concepts/C2089376053-NOAA_NCEI.umm_json Kaneohe Bay received increasing amounts of sewage from the 1950s through 1977. Most sewage was diverted from the bay in 1977 and early 1978. Data were collected beginning in September 1976 and continued until June 1979. The time series was re-established in June 1982 and continued to December 2005, when it was terminated. The sampling was at 1 m depth in the south sector of Kaneohe Bay, Oahu near the old outfall that ceased in 1977. Previous NODC Accessions 0000396 (1976-1979) and 0000422 (1982-1/2001) contained monthly averages of chlorophyll a, based on weekly to bi-weekly samples. This data set has the weekly to bi-weekly chlorophyll a, pheo, water temperature, secchi depth, and sample site depth. Additional data were taken from June 2004 - December 2005 and these will be available in a separate data set. proprietary
gov.noaa.nodc:0013170_Not Applicable Chemical and biological data collected as part of the CArbon Retention In A Colored Ocean (CARIACO) program in the Cariaco Basin off the coast of Venezuela, January 17, 2005 - January 16, 2006 (NCEI Accession 0013170) NOAA_NCEI STAC Catalog 2005-01-17 2006-01-16 -65.56, 10.45, -64.65, 10.66 https://cmr.earthdata.nasa.gov/search/concepts/C2089372614-NOAA_NCEI.umm_json Chemical and biological data were collected using bottle casts on the continental shelf of Venezuela from the HERMANO GINES from January 17, 2005 to January 16, 2006. Data were collected and submitted by Dr. Mary Scranton of Stony Brook University with support from the CArbon Retention In A Colored Ocean (CARIACO) program. proprietary
gov.noaa.nodc:0014123_Not Applicable Chemical and physical profile data collected from CTD casts from 01 January 2003 to 01 October 2005 aboard the F. G. WALTON SMITH in the Straits of Florida (NCEI Accession 0014123) NOAA_NCEI STAC Catalog 2003-01-01 2005-10-01 -81.299667, 23.249833, -79.017833, 25.627167 https://cmr.earthdata.nasa.gov/search/concepts/C2089372909-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:0014906_Not Applicable Aerial sightings of bowhead whales and other marine mammals by the US Department of the Interior's Minerals Management Service, 1979 - 2006, in the Bering, Chukchi and Beaufort Seas (NCEI Accession 0014906) ALL STAC Catalog 1979-04-01 2006-10-31 -174.01, 57.72, -125.25, 76.14 https://cmr.earthdata.nasa.gov/search/concepts/C2089373613-NOAA_NCEI.umm_json "The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a repeatable protocol from 1982 to the present. Bowhead monitoring by MMS Environmental Studies Section, Alaska Outer Continental Shelf (OCS) Region, normally overlaps the September-October ""open-water"" season when offshore drilling and geophysical exploration are feasible and when the fall subsistence hunt for bowhead whales takes place near Kaktovik, Nuiqsut, and Barrow, Alaska. The primary survey aircraft was a de Havilland Twin Otter Series 300. The aircraft was equipped with three medium-size bubble windows that afforded complete viewing of the track-line. Geographic positions of the aircraft were logged onto a laptop computer from a Global Navigation System (1982-1991) or a Global Positioning System (1992-2000). Prior to 1992, many surveys in Block 12 (See Browse Graphic) were conducted from a Grumman Turbo Goose Model G21G. All bowhead (and beluga) whales observed were recorded, along with incidental sightings of other marine mammals. Particular emphasis was placed on regional surveys to assess large-area shifts in the migration pathway of bowhead whales and on the coordination of effort and management of data necessary to support seasonal offshore-drilling and seismic-exploration regulations. The selection of survey blocks to be flown on a given day was nonrandom, based primarily on criteria such as observed and predicted weather conditions over the study area and offshore oil-industry activities. Otherwise, the project attempted to distribute effort fairly evenly east-to-west across the entire study area. Aerial coverage favored inshore survey blocks (See Browse Graphic), since bowheads were rarely sighted north of these blocks in previous surveys (1979-1986). Surveys were flown at a target altitude of 458 m in order to maximize visibility and to minimize potential disturbance to marine mammals. Flights were normally aborted when cloud ceilings were consistently less than 305 m or the wind force was consistently above Beaufort 4. Daily flight patterns were based on sets of non-repeating transect grids computer-generated for each survey block. Transect grids were derived by dividing each survey block into sections 30 minutes of longitude across. One of the minute marks along the northern edge of each section was selected at random then connected by a straight line to a similarly selected endpoint along the southern edge of that same section. This procedure was followed for all sections of that survey block. These transect legs were then connected alternately at their northernmost or southernmost ends to produce one continuous flight grid within each survey block. Gridlines were occasionally lengthened to cover both an inshore block and the block north of it. Lines were occasionally truncated due to extended poor visibility or to avoid potential interference with subsistence whaling activities. For bowheads encountered ""on transect"", the aircraft sometimes circled for a brief (< 10 min) period to observe behavior, obtain better estimates of their numbers, and/or determine whether calves were present. Any new groups sighted when circling were recorded as ""on search""." proprietary
gov.noaa.nodc:0014906_Not Applicable Aerial sightings of bowhead whales and other marine mammals by the US Department of the Interior's Minerals Management Service, 1979 - 2006, in the Bering, Chukchi and Beaufort Seas (NCEI Accession 0014906) NOAA_NCEI STAC Catalog 1979-04-01 2006-10-31 -174.01, 57.72, -125.25, 76.14 https://cmr.earthdata.nasa.gov/search/concepts/C2089373613-NOAA_NCEI.umm_json "The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a repeatable protocol from 1982 to the present. Bowhead monitoring by MMS Environmental Studies Section, Alaska Outer Continental Shelf (OCS) Region, normally overlaps the September-October ""open-water"" season when offshore drilling and geophysical exploration are feasible and when the fall subsistence hunt for bowhead whales takes place near Kaktovik, Nuiqsut, and Barrow, Alaska. The primary survey aircraft was a de Havilland Twin Otter Series 300. The aircraft was equipped with three medium-size bubble windows that afforded complete viewing of the track-line. Geographic positions of the aircraft were logged onto a laptop computer from a Global Navigation System (1982-1991) or a Global Positioning System (1992-2000). Prior to 1992, many surveys in Block 12 (See Browse Graphic) were conducted from a Grumman Turbo Goose Model G21G. All bowhead (and beluga) whales observed were recorded, along with incidental sightings of other marine mammals. Particular emphasis was placed on regional surveys to assess large-area shifts in the migration pathway of bowhead whales and on the coordination of effort and management of data necessary to support seasonal offshore-drilling and seismic-exploration regulations. The selection of survey blocks to be flown on a given day was nonrandom, based primarily on criteria such as observed and predicted weather conditions over the study area and offshore oil-industry activities. Otherwise, the project attempted to distribute effort fairly evenly east-to-west across the entire study area. Aerial coverage favored inshore survey blocks (See Browse Graphic), since bowheads were rarely sighted north of these blocks in previous surveys (1979-1986). Surveys were flown at a target altitude of 458 m in order to maximize visibility and to minimize potential disturbance to marine mammals. Flights were normally aborted when cloud ceilings were consistently less than 305 m or the wind force was consistently above Beaufort 4. Daily flight patterns were based on sets of non-repeating transect grids computer-generated for each survey block. Transect grids were derived by dividing each survey block into sections 30 minutes of longitude across. One of the minute marks along the northern edge of each section was selected at random then connected by a straight line to a similarly selected endpoint along the southern edge of that same section. This procedure was followed for all sections of that survey block. These transect legs were then connected alternately at their northernmost or southernmost ends to produce one continuous flight grid within each survey block. Gridlines were occasionally lengthened to cover both an inshore block and the block north of it. Lines were occasionally truncated due to extended poor visibility or to avoid potential interference with subsistence whaling activities. For bowheads encountered ""on transect"", the aircraft sometimes circled for a brief (< 10 min) period to observe behavior, obtain better estimates of their numbers, and/or determine whether calves were present. Any new groups sighted when circling were recorded as ""on search""." proprietary
+gov.noaa.nodc:0014906_Not Applicable Aerial sightings of bowhead whales and other marine mammals by the US Department of the Interior's Minerals Management Service, 1979 - 2006, in the Bering, Chukchi and Beaufort Seas (NCEI Accession 0014906) ALL STAC Catalog 1979-04-01 2006-10-31 -174.01, 57.72, -125.25, 76.14 https://cmr.earthdata.nasa.gov/search/concepts/C2089373613-NOAA_NCEI.umm_json "The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a repeatable protocol from 1982 to the present. Bowhead monitoring by MMS Environmental Studies Section, Alaska Outer Continental Shelf (OCS) Region, normally overlaps the September-October ""open-water"" season when offshore drilling and geophysical exploration are feasible and when the fall subsistence hunt for bowhead whales takes place near Kaktovik, Nuiqsut, and Barrow, Alaska. The primary survey aircraft was a de Havilland Twin Otter Series 300. The aircraft was equipped with three medium-size bubble windows that afforded complete viewing of the track-line. Geographic positions of the aircraft were logged onto a laptop computer from a Global Navigation System (1982-1991) or a Global Positioning System (1992-2000). Prior to 1992, many surveys in Block 12 (See Browse Graphic) were conducted from a Grumman Turbo Goose Model G21G. All bowhead (and beluga) whales observed were recorded, along with incidental sightings of other marine mammals. Particular emphasis was placed on regional surveys to assess large-area shifts in the migration pathway of bowhead whales and on the coordination of effort and management of data necessary to support seasonal offshore-drilling and seismic-exploration regulations. The selection of survey blocks to be flown on a given day was nonrandom, based primarily on criteria such as observed and predicted weather conditions over the study area and offshore oil-industry activities. Otherwise, the project attempted to distribute effort fairly evenly east-to-west across the entire study area. Aerial coverage favored inshore survey blocks (See Browse Graphic), since bowheads were rarely sighted north of these blocks in previous surveys (1979-1986). Surveys were flown at a target altitude of 458 m in order to maximize visibility and to minimize potential disturbance to marine mammals. Flights were normally aborted when cloud ceilings were consistently less than 305 m or the wind force was consistently above Beaufort 4. Daily flight patterns were based on sets of non-repeating transect grids computer-generated for each survey block. Transect grids were derived by dividing each survey block into sections 30 minutes of longitude across. One of the minute marks along the northern edge of each section was selected at random then connected by a straight line to a similarly selected endpoint along the southern edge of that same section. This procedure was followed for all sections of that survey block. These transect legs were then connected alternately at their northernmost or southernmost ends to produce one continuous flight grid within each survey block. Gridlines were occasionally lengthened to cover both an inshore block and the block north of it. Lines were occasionally truncated due to extended poor visibility or to avoid potential interference with subsistence whaling activities. For bowheads encountered ""on transect"", the aircraft sometimes circled for a brief (< 10 min) period to observe behavior, obtain better estimates of their numbers, and/or determine whether calves were present. Any new groups sighted when circling were recorded as ""on search""." proprietary
gov.noaa.nodc:0033380_Not Applicable Assessment of invasiveness of the Orange Keyhole Sponge Mycale Armata in Kaneohe Bay, Oahu, Hawaii, based on surveys in 2005 - 2006, Year 2 of Hawaii Coral Reef Initiative (NCEI Accession 0033380) NOAA_NCEI STAC Catalog 2005-01-02 2006-03-31 -157.85, 21.41, -157.76, 21.51 https://cmr.earthdata.nasa.gov/search/concepts/C2089374745-NOAA_NCEI.umm_json The purpose of this study was to determine Mycale armata's distribution, abundance throughout the bay, its growth rates on permanent quadrats, and whether mechanical removal would be an effective management technique for its control. The study utilized both quadrat surveys and manta tow boards for data collection. Data files are in Excel, PDF, MS Word, and JPEG image formats. proprietary
gov.noaa.nodc:0038513_Not Applicable Chemical and biological data collected as part of the CArbon Retention In A Colored Ocean (CARIACO) program in the Cariaco Basin off the coast of Venezuela, May 23, 2005 - November 11, 2006 (NCEI Accession 0038513) NOAA_NCEI STAC Catalog 2005-05-23 2006-11-11 -65.58727, 10.49568, -64.5845, 10.71638 https://cmr.earthdata.nasa.gov/search/concepts/C2089375332-NOAA_NCEI.umm_json Chemical and biological data were collected using bottle casts on the continental shelf of Venezuela from the HERMANO GINES from May 23, 2005 to November 11, 2006. Data were collected and submitted by Dr. Mary Scranton of Stony Brook University with support from the CArbon Retention In A Colored Ocean (CARIACO) program. proprietary
gov.noaa.nodc:0040205_Not Applicable Carbon dioxide from surface underway survey in global oceans from 1968 to 2006 (Version 1.0) (NCEI Accession 0040205) NOAA_NCEI STAC Catalog 1966-01-01 2006-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089375975-NOAA_NCEI.umm_json More than 3 million measurements of surface water partial pressure of CO2 obtained over the global oceans during 1968 to 2006 are listed in the Lamont-Doherty Earth Observatory database, which includes open ocean and coastal water measurements. The data assembled include only those measured by equilibrator CO2 analyzer systems and have been quality-controlled based on the stability of the system performance, the reliability of calibrations for CO2 analysis, and the internal consistency of data. Versions up to 2007 are included in this dataset proprietary
gov.noaa.nodc:0043167_Not Applicable Aurora 1993 XBT's temperature measurements collected using XBT from Aurora Australis in the Tasman Sea during 1993 (NCEI Accession 0043167) NOAA_NCEI STAC Catalog 1993-01-05 1993-10-08 61.52, -68.93, 159, -42.83 https://cmr.earthdata.nasa.gov/search/concepts/C2089372431-NOAA_NCEI.umm_json Temperature data received at NODC on April 14, 2008 by Tim Boyer placed on the FTP server by Ann Thresher, CSIRO (COMMONWEALTH SCIENTIFIC AND INDUSTRIAL RESEARCH ORGANIZATION) for XBT/CTD comparisons proprietary
gov.noaa.nodc:0045502_Not Applicable Carbon dioxide, temperature, salinity, and atmospheric pressure from surface underway survey in the North Pacific from January 1998 to January 2004 (NCEI Accession 0045502) NOAA_NCEI STAC Catalog 1998-01-01 2004-01-01 -100, -10, 120, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089372737-NOAA_NCEI.umm_json Sea surface pCO2, sea surface temperature, sea surface salinity, and atmospheric pressure measurements collected in the North Pacific as part of the NOAA Office of Climate Observations (OCO) and U.S. Carbon Cycle Science Programs. proprietary
gov.noaa.nodc:0045505_Not Applicable AOML VOS pCO2. temperature, salinity, and other underway measurements collected using in the Pacific and Atlantic from 2007 to 2008 (NCEI Accession 0045505) NOAA_NCEI STAC Catalog 2007-04-06 2008-01-15 -90, -40, -20, 20 https://cmr.earthdata.nasa.gov/search/concepts/C2089372759-NOAA_NCEI.umm_json AOML pCO2 underway measurements collected using in the Pacific and Atlantic from 2007 to 2008 proprietary
-gov.noaa.nodc:0046934_Not Applicable Acropora Spatial Survey Data of the Upper Florida Keys National Marine Sanctuary, 2005 - 2007 (NCEI Accession 0046934) ALL STAC Catalog 2005-01-01 2007-12-31 -81.41079, 24.54466, -80.19632, 25.29129 https://cmr.earthdata.nasa.gov/search/concepts/C2089373092-NOAA_NCEI.umm_json These data were collected by the NOAA Southeast Fisheries Science Center to document the presence or absence of Acropora spp at shallow reef sites in the Upper Florida Keys (USA). The presence or absence of acroporid corals was marked by handheld GPS during snorkel or tow surveys of shallow water (<5m) reef habitats in the Upper Florida Keys National Marine Sanctuary. The data are in GIS shape and layer files with associated attribute files, metadata files, and additional .pdf file outputs of the GIS data layers. proprietary
gov.noaa.nodc:0046934_Not Applicable Acropora Spatial Survey Data of the Upper Florida Keys National Marine Sanctuary, 2005 - 2007 (NCEI Accession 0046934) NOAA_NCEI STAC Catalog 2005-01-01 2007-12-31 -81.41079, 24.54466, -80.19632, 25.29129 https://cmr.earthdata.nasa.gov/search/concepts/C2089373092-NOAA_NCEI.umm_json These data were collected by the NOAA Southeast Fisheries Science Center to document the presence or absence of Acropora spp at shallow reef sites in the Upper Florida Keys (USA). The presence or absence of acroporid corals was marked by handheld GPS during snorkel or tow surveys of shallow water (<5m) reef habitats in the Upper Florida Keys National Marine Sanctuary. The data are in GIS shape and layer files with associated attribute files, metadata files, and additional .pdf file outputs of the GIS data layers. proprietary
+gov.noaa.nodc:0046934_Not Applicable Acropora Spatial Survey Data of the Upper Florida Keys National Marine Sanctuary, 2005 - 2007 (NCEI Accession 0046934) ALL STAC Catalog 2005-01-01 2007-12-31 -81.41079, 24.54466, -80.19632, 25.29129 https://cmr.earthdata.nasa.gov/search/concepts/C2089373092-NOAA_NCEI.umm_json These data were collected by the NOAA Southeast Fisheries Science Center to document the presence or absence of Acropora spp at shallow reef sites in the Upper Florida Keys (USA). The presence or absence of acroporid corals was marked by handheld GPS during snorkel or tow surveys of shallow water (<5m) reef habitats in the Upper Florida Keys National Marine Sanctuary. The data are in GIS shape and layer files with associated attribute files, metadata files, and additional .pdf file outputs of the GIS data layers. proprietary
gov.noaa.nodc:0049902_Not Applicable Biological dataset collected from bottle casts from the R/V LAURENCE M. GOULD and the R/V NATHANIEL B. PALMER in the Southern Drake Passage and Scotia Sea in support of National Science Foundation projects OPP 03-30443 and ANT 04-44134 from 15 February 2004 to 09 August 2006 (NCEI Accession 0049902) NOAA_NCEI STAC Catalog 2004-02-15 2006-08-09 -64.9884, -64.675, -52.8742, -54.8127 https://cmr.earthdata.nasa.gov/search/concepts/C2089373417-NOAA_NCEI.umm_json Ocean biology data were collected in Southern Drake Passage and Scotia Sea during two research cruises supported by NSF awards. These two cruises, namely LMG0402 and NBP0606, were conducted during Februay to March 2004 and July to August 2006, respectively. Dataset includes concentration of pigments in phytoplankton, particulate organic matter concentration, macronutrients, primary productivity and microbial biomass and productivity. proprietary
gov.noaa.nodc:0051848_Not Applicable Biomass measurements collected in the Pacific Ocean using a net from various platform from 1950 - 1961 (NCEI Accession 0051848) NOAA_NCEI STAC Catalog 1950-05-14 1961-07-29 -170, 0, -135, 30 https://cmr.earthdata.nasa.gov/search/concepts/C2089373644-NOAA_NCEI.umm_json Zooplankton biomass data collected from Pacific Ocean in 1950 - 1961 years received from NMFS proprietary
gov.noaa.nodc:0053277_Not Applicable Biomass measurements collected using net in the North and South Atlantic from several platforms from 1950 to 989 (NCEI Accession 0053277) NOAA_NCEI STAC Catalog 1950-01-01 1989-12-31 -86.367, -42.78, 14.175, 53.683 https://cmr.earthdata.nasa.gov/search/concepts/C2089373850-NOAA_NCEI.umm_json Zooplankton biomass data collected by Institute of Biology of the Southern Seas from the Atlantic Ocean in 1950-1989 years and received from the NMFS. proprietary
@@ -18466,8 +18468,8 @@ gov.noaa.nodc:0057319_Not Applicable Arctic Freshwater Switchyard Project: Sprin
gov.noaa.nodc:0058268_Not Applicable Beaufort Gyre hydrographic data: Temperature, salinity and transmissivity data from the Louis S St. Laurent in the Arctic Ocean, 2003 - 2008 (NCEI Accession 0058268) NOAA_NCEI STAC Catalog 2003-10-11 2008-10-20 -150, 75, -140, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2089374751-NOAA_NCEI.umm_json The major goal of the observational program is to determine the variability of different components of the Beaufort Gyre fresh water (ocean and sea ice) system and to assess the partial concentrations of fresh water of different origin (rivers, Pacific Ocean, precipitation, ice/snow melt, etc). Using moorings, drifting buoys, shipboard, and remote sensing measurements we have been measuring time series of temperature, salinity, currents, geochemical tracers, sea ice draft, and sea level since August 2003, to determine freshwater content and freshwater fluxes in the Beaufort Gyre during a complete seasonal cycle and beyond. proprietary
gov.noaa.nodc:0058858_Not Applicable Abundance data for the copepod species Calanus pacificus and Metridia pacifica collected at a fixed station in Dabob Bay, Hood Canal, Puget Sound, Washington during six cruises aboard the CLIFFORD A. BARNES, October 2006 - April 2008 (NCEI Accession 0058858) ALL STAC Catalog 2006-10-12 2008-04-15 -122.835, 47.769, -122.835, 47.769 https://cmr.earthdata.nasa.gov/search/concepts/C2089374860-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0058858_Not Applicable Abundance data for the copepod species Calanus pacificus and Metridia pacifica collected at a fixed station in Dabob Bay, Hood Canal, Puget Sound, Washington during six cruises aboard the CLIFFORD A. BARNES, October 2006 - April 2008 (NCEI Accession 0058858) NOAA_NCEI STAC Catalog 2006-10-12 2008-04-15 -122.835, 47.769, -122.835, 47.769 https://cmr.earthdata.nasa.gov/search/concepts/C2089374860-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:0061208_Not Applicable Algal, coral, and other data collected by ROV and scuba diver videography from M.V. FLING and M.V. SPREE for Post-Hurricane Assessment of Sensitive Habitats of the Flower Garden Banks Vicinity project from November 13, 2005 to June 23, 2007 (NCEI Accession 0061208) NOAA_NCEI STAC Catalog 2005-11-13 2007-05-23 -93.58, 27.85, -92.45, 28.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089375074-NOAA_NCEI.umm_json The most active hurricane season on record in the Atlantic and Gulf of Mexico occurred in 2005, fueled by higher than normal sea-surface temperatures. Eleven tropical cyclones entered the Gulf of Mexico in 2005, including Hurricane Rita. Hurricane Rita was a Category 3 storm when it passed near the shelf edge banks on September 23, 2005. Several sensitive habitats within the northwestern Gulf of Mexico were close to the path of Hurricane Rita, including Sonnier, McGrail, Geyer, Bright, and East Flower Garden Banks. Hindcast hydrodynamic models estimated wave heights at 20-m or higher on these banks. This may have left some bank caps exposed, even at ~20- to 30-m depths. The implications for catastrophic damage to benthic community structure prompted the Minerals Management Service to characterize the banks in their post-hurricane state. This study, using the data in NODC Accession 0061208, characterized and compared the benthic habitats of four banks (Sonnier, McGrail, Geyer, and Bright) and recorded possible hurricane damage at these banks and the East Flower Garden Bank (EFGB). At Sonnier, McGrail, Geyer, and Bright Banks, videographic records were collected by SCUBA and ROV in April and May 2007, at four depth ranges to assess benthic cover to the lowest possible taxonomic level: 22-27 m, 30-36.5 m, 45-50 m, and 55-60 m. Video transects were qualitatively assessed for evidence of hurricane damage. To document recovery from Hurricane Rita at the existing long-term monitoring site on the EFGB, repetitive quadrats and perimeter line surveys were conducted in November 2005 and compared to data collected subsequently in June 2006. proprietary
gov.noaa.nodc:0061208_Not Applicable Algal, coral, and other data collected by ROV and scuba diver videography from M.V. FLING and M.V. SPREE for Post-Hurricane Assessment of Sensitive Habitats of the Flower Garden Banks Vicinity project from November 13, 2005 to June 23, 2007 (NCEI Accession 0061208) ALL STAC Catalog 2005-11-13 2007-05-23 -93.58, 27.85, -92.45, 28.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089375074-NOAA_NCEI.umm_json The most active hurricane season on record in the Atlantic and Gulf of Mexico occurred in 2005, fueled by higher than normal sea-surface temperatures. Eleven tropical cyclones entered the Gulf of Mexico in 2005, including Hurricane Rita. Hurricane Rita was a Category 3 storm when it passed near the shelf edge banks on September 23, 2005. Several sensitive habitats within the northwestern Gulf of Mexico were close to the path of Hurricane Rita, including Sonnier, McGrail, Geyer, Bright, and East Flower Garden Banks. Hindcast hydrodynamic models estimated wave heights at 20-m or higher on these banks. This may have left some bank caps exposed, even at ~20- to 30-m depths. The implications for catastrophic damage to benthic community structure prompted the Minerals Management Service to characterize the banks in their post-hurricane state. This study, using the data in NODC Accession 0061208, characterized and compared the benthic habitats of four banks (Sonnier, McGrail, Geyer, and Bright) and recorded possible hurricane damage at these banks and the East Flower Garden Bank (EFGB). At Sonnier, McGrail, Geyer, and Bright Banks, videographic records were collected by SCUBA and ROV in April and May 2007, at four depth ranges to assess benthic cover to the lowest possible taxonomic level: 22-27 m, 30-36.5 m, 45-50 m, and 55-60 m. Video transects were qualitatively assessed for evidence of hurricane damage. To document recovery from Hurricane Rita at the existing long-term monitoring site on the EFGB, repetitive quadrats and perimeter line surveys were conducted in November 2005 and compared to data collected subsequently in June 2006. proprietary
+gov.noaa.nodc:0061208_Not Applicable Algal, coral, and other data collected by ROV and scuba diver videography from M.V. FLING and M.V. SPREE for Post-Hurricane Assessment of Sensitive Habitats of the Flower Garden Banks Vicinity project from November 13, 2005 to June 23, 2007 (NCEI Accession 0061208) NOAA_NCEI STAC Catalog 2005-11-13 2007-05-23 -93.58, 27.85, -92.45, 28.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089375074-NOAA_NCEI.umm_json The most active hurricane season on record in the Atlantic and Gulf of Mexico occurred in 2005, fueled by higher than normal sea-surface temperatures. Eleven tropical cyclones entered the Gulf of Mexico in 2005, including Hurricane Rita. Hurricane Rita was a Category 3 storm when it passed near the shelf edge banks on September 23, 2005. Several sensitive habitats within the northwestern Gulf of Mexico were close to the path of Hurricane Rita, including Sonnier, McGrail, Geyer, Bright, and East Flower Garden Banks. Hindcast hydrodynamic models estimated wave heights at 20-m or higher on these banks. This may have left some bank caps exposed, even at ~20- to 30-m depths. The implications for catastrophic damage to benthic community structure prompted the Minerals Management Service to characterize the banks in their post-hurricane state. This study, using the data in NODC Accession 0061208, characterized and compared the benthic habitats of four banks (Sonnier, McGrail, Geyer, and Bright) and recorded possible hurricane damage at these banks and the East Flower Garden Bank (EFGB). At Sonnier, McGrail, Geyer, and Bright Banks, videographic records were collected by SCUBA and ROV in April and May 2007, at four depth ranges to assess benthic cover to the lowest possible taxonomic level: 22-27 m, 30-36.5 m, 45-50 m, and 55-60 m. Video transects were qualitatively assessed for evidence of hurricane damage. To document recovery from Hurricane Rita at the existing long-term monitoring site on the EFGB, repetitive quadrats and perimeter line surveys were conducted in November 2005 and compared to data collected subsequently in June 2006. proprietary
gov.noaa.nodc:0066319_Not Applicable Benthic data for corals, macroalgae, invertebrates, and non-living bottom types from Fagatele Bay, Pago Pago, and Fagasa, American Samoa, 2004-2008 (NCEI Accession 0066319) NOAA_NCEI STAC Catalog 2004-01-01 2008-08-01 -170.76892, -14.37023, -170.63047, -14.27847 https://cmr.earthdata.nasa.gov/search/concepts/C2089376136-NOAA_NCEI.umm_json This data set was derived from surveys in Fagatele Bay National Marine Sanctuary, Pago Pago (Rainmaker and Aua), and Fagasa (Sita Bay and Cape Larsen) conducted in 2004 and 2007-2008. Parameters include coral, algal, or invertebrate species, coral colony diameter size, and non-living bottom type. Summaries of species identification from sites above and Ofu-Olosega Islands, Ta'u Island, Aunu'u, Manu'a, and Rose Atoll, based on historic surveys back to 1917 are also given in spreadsheets. This is a working list put together by Dr. Charles Birkeland. Fish data were collected by Dr. Alison Green on the same dates and transects and are available in a separate NODC accession. proprietary
gov.noaa.nodc:0068364_Not Applicable Benthic data for corals, macroalgae, invertebrates, and non-living bottom types from Fagatele Bay National Marine Sanctuary, South Pacific Ocean, 2007-04-02 to 2008-12-31 (NCEI Accession 0068364) NOAA_NCEI STAC Catalog 2007-04-02 2008-12-31 -170.814, -14.3654, -170.562, -14.1271 https://cmr.earthdata.nasa.gov/search/concepts/C2089372324-NOAA_NCEI.umm_json Benthic transects were repeated at 12 sites around Tutuila at various depths on the reef slopes and flats. Benthic coverage categories include coral species, invertebrates, and non-living substrate type. Annual surveys took place during 2005-2009. The most detailed data are from 2008. The data were provided as spreadsheets and metadata within a PDF document, focusing on the 2008 surveys. A related data set was can be found in NCEI Accession 0066319, which was derived from surveys in Fagatele Bay National Marine Sanctuary, Pago Pago (Rainmaker and Aua), and Fagasa (Sita Bay and Cape Larsen) conducted in 2004 and 2007-2008. Parameters include coral, algal, or invertebrate species, coral colony diameter size, and non-living bottom type. Also in 0066319 are summaries of species identification from sites above and Ofu-Olosega Islands, Ta'u Island, Aunu'u, Manu'a, and Rose Atoll, based on historic surveys back to 1917 are also given in spreadsheets. This is a working list put together by Dr. Charles Birkeland. proprietary
gov.noaa.nodc:0068586_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the SEWARD JOHNSON in the North Atlantic Ocean and Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068586) NOAA_NCEI STAC Catalog 2010-07-10 2010-07-14 -83.153333, 24.251833, -79.812, 26.011833 https://cmr.earthdata.nasa.gov/search/concepts/C2089372374-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the SEWARD JOHNSON in the North Atlantic Ocean and Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068586) proprietary
@@ -18615,17 +18617,17 @@ gov.noaa.nodc:0118500_Not Applicable Biological and physical geospatial data fro
gov.noaa.nodc:0118680_Not Applicable Biological and chemical data determined in mesocosm experiments by Dauphin Island Sea Lab in June and August of 2011 (NCEI Accession 0118680) NOAA_NCEI STAC Catalog 2011-06-01 2011-09-01 -88.080239, 30.243423, -88.080239, 30.243423 https://cmr.earthdata.nasa.gov/search/concepts/C2089373185-NOAA_NCEI.umm_json Abundances of viruses, prokaryotes, diatoms, dinoflagellates, ciliates and heterotrophic nanoflagellates were determined over time in mesocosm experiments measuring the effects of oil, dispersant and dispersed oil on the microbial loop. Two separate experiments were carried out in June and August 2011. Abundances in the treated mesocosms were compared to a no addition control and a glucose addition control. proprietary
gov.noaa.nodc:0118720_Not Applicable Biological, chemical, and physical data collected in Delaware Bay from 1997-09-02 to 1997-10-08 (NCEI Accession 0118720) NOAA_NCEI STAC Catalog 1997-09-02 1997-10-08 -75.6082, 38.5167, -74.723, 40.147 https://cmr.earthdata.nasa.gov/search/concepts/C2089373222-NOAA_NCEI.umm_json This study was based on the sediment quality triad (SQT) approach. A stratified probabilistic sampling design was utilized to characterize the Delaware Bay system in terms of chemical contamination, sediment toxicity (Microtox, amphipod bioassay; sea urchin gamete bioassay; and P450 biomarker) and benthic infaunal community structure. The purpose was to define the extent and magnitude of toxicity and other biological effects associated with contaminants in the Delaware estuary system from the fall line to the mouth of the Bay. This file contains data measured in the Delaware Bay Estuary and adjacent waters during 1997. Samples were collected for water and sediment analyses. proprietary
gov.noaa.nodc:0124257_Not Applicable Baseline characterization of benthic and coral communities of the Flower Garden Banks, Texas from 2010-05-01 to 2012-08-31 (NCEI Accession 0124257) NOAA_NCEI STAC Catalog 2010-05-01 2012-08-31 -93.87, 27.82, -93.57, 27.99 https://cmr.earthdata.nasa.gov/search/concepts/C2089375884-NOAA_NCEI.umm_json This study utilized ROV photograph transects to quantify benthic habitat and coral communities among the five habitat types (algal nodule, coralline algal reefs, deep reefs and soft bottom) identified in the Flower Garden Banks National Marine Sanctuary (FGBNMS). ROV surveys were conducted in the mid and lower mesophotic zone of the sanctuary (17-150 m) on both the East Bank and the West Bank. The FGBNMS represents the northernmost tropical western Atlantic coral reef on the continental shelf and support the most highly developed offshore hard bank community in the region. The complexity of habitats supports a diverse assemblage of organisms including approximately 250 species of fish, 23 species of coral, and 80 species of algae in addition to large sponge communities. Understanding and monitoring these resources is critical to both sanctuary inventory and management activities. During the course of the sanctuaryÂs management plan review process, the impact of fishing was identified as a priority issue, and the concept of a research only area was suggested. The purpose of this project is to provide baseline data for all benthic habitats and coral communities. proprietary
-gov.noaa.nodc:0125596_Not Applicable Acoustic travel time and bottom pressure data from inverted echo sounders as part of the Southwest Atlantic Meridional Overturning Circulation project (SAM) from 2009-03-18 to 2012-12-10 (NCEI Accession 0125596) NOAA_NCEI STAC Catalog 2009-03-18 2012-12-10 -51.493, -34.504, -44.498, -34.499 https://cmr.earthdata.nasa.gov/search/concepts/C2089376227-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0125596_Not Applicable Acoustic travel time and bottom pressure data from inverted echo sounders as part of the Southwest Atlantic Meridional Overturning Circulation project (SAM) from 2009-03-18 to 2012-12-10 (NCEI Accession 0125596) ALL STAC Catalog 2009-03-18 2012-12-10 -51.493, -34.504, -44.498, -34.499 https://cmr.earthdata.nasa.gov/search/concepts/C2089376227-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:0125597_Not Applicable Acoustic travel time, bottom pressure, and near bottom current velocities from inverted echo sounders in the Atlantic Ocean from 2004-09-27 to 2016-02-25 (NCEI Accession 0125597) NOAA_NCEI STAC Catalog 2004-09-27 2016-02-25 -76.84, 26.491, -72.004, 26.516 https://cmr.earthdata.nasa.gov/search/concepts/C2089376235-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:0125596_Not Applicable Acoustic travel time and bottom pressure data from inverted echo sounders as part of the Southwest Atlantic Meridional Overturning Circulation project (SAM) from 2009-03-18 to 2012-12-10 (NCEI Accession 0125596) NOAA_NCEI STAC Catalog 2009-03-18 2012-12-10 -51.493, -34.504, -44.498, -34.499 https://cmr.earthdata.nasa.gov/search/concepts/C2089376227-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0125597_Not Applicable Acoustic travel time, bottom pressure, and near bottom current velocities from inverted echo sounders in the Atlantic Ocean from 2004-09-27 to 2016-02-25 (NCEI Accession 0125597) ALL STAC Catalog 2004-09-27 2016-02-25 -76.84, 26.491, -72.004, 26.516 https://cmr.earthdata.nasa.gov/search/concepts/C2089376235-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:0125597_Not Applicable Acoustic travel time, bottom pressure, and near bottom current velocities from inverted echo sounders in the Atlantic Ocean from 2004-09-27 to 2016-02-25 (NCEI Accession 0125597) NOAA_NCEI STAC Catalog 2004-09-27 2016-02-25 -76.84, 26.491, -72.004, 26.516 https://cmr.earthdata.nasa.gov/search/concepts/C2089376235-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:0127525_Not Applicable Abundance and behavior of parrotfishes (Labridae, Scarinae) in the upper Florida Keys from 2013-06-19 to 2013-07-30 (NCEI Accession 0127525) NOAA_NCEI STAC Catalog 2013-06-19 2013-07-30 -80.38, 25, -80.21, 25.22 https://cmr.earthdata.nasa.gov/search/concepts/C2089376534-NOAA_NCEI.umm_json To better understand the functional roles of parrotfishes on Caribbean coral reefs we documented abundance, habitat preferences, and diets of nine species of parrotfishes (Scarus coelestinus, Scarus coeruleus, Scarus guacamaia, Scarus taeniopterus, Scarus vetula, Sparisoma aurofrenatum, Sparisoma chrysopterum, Sparisoma rubripinne, Sparisoma viride) on three high-relief spur-and-groove reefs (Molasses, Carysfort, and Elbow) offshore of Key Largo in the Florida Keys National Marine Sanctuary. On each reef, we conducted fish surveys, behavioral observations, and benthic surveys in three habitat types: high-relief spur and groove (depth 2 - 6 m), low-relief carbonate platform/hardbottom (depth 4 - 12 m), and carbonate boulder/rubble fields (depth 4 - 9 m). In addition, fish surveys were also conducted on a fourth high-relief spur-and-groove reef (French). We estimated parrotfish abundance in each of the three habitat types in order to assess the relative abundance and biomass of different species and to quantify differences in habitat selection. To estimate parrotfish density, we conducted 20 to 30 minute timed swims while towing a GPS receiver on a float on the surface to calculate the amount of area sampled. During a swim the observer would swim parallel with the habitat type being sampled and count and estimate the size to the nearest cm of all parrotfishes greater than or equal to 15 cm in length that were encountered in a 5 m wide swath. To quantify parrotfish behavior, approximately six individuals of each species were observed at each site for 20 min each. Foraging behavior was recorded by a SCUBA diver while towing a GPS receiver (Garmin GPS 72) attached to a surface float, which obtained position fixes of the focal fish at 15 s intervals. Fish were followed from a close distance (~ 2 m when possible), and food items were identified to the lowest taxonomic level possible, with macroalgae and coral usually identified to genus or species. Many bites involved scraping or excavating substrate colonized by a multi-species assemblage of filamentous âturfâ algae and crustose coralline algae (CCA). Thus, multiple species of filamentous algae, endolithic algae, and CCA could be harvested in a single bite, and it was impossible to determine the specific species of algae targeted. We also recorded the type of substrate targeted during each foraging bout, categorizing each substrate as one of the following: (1) dead coral, (2) coral pavement, (3) boulder, (4) rubble, or (5) ledge. Dead coral included both convex and concave surfaces on the vertical and horizontal planes of three dimensional coral skeletons (primarily dead Acropora palmata) that were attached to reef substrate. Coral pavement was carbonate reef with little topographic complexity (i.e., flat limestone pavement). Boulder was large remnants of dead mounding corals not clearly attached to the bottom and often partially buried in sand. Coral rubble consisted of small dead coral fragments (generally < 10 cm in any dimension) that could be moved with minimal force. Ledges consisted entirely of the undercut sides of large spurs in the high-relief spur and groove habitat. In order to quantify the relative abundance of different food types, we estimated the percent cover of algae, coral, and other sessile invertebrates on each of the five substrates commonly targeted by parrotfishes (dead coral, coral pavement, boulder, rubble, or ledge) in 0.5 m x 0.5 m photoquadrats. We photographed a total of 8 haphazardly selected quadrats dispersed throughout the study site for each substrate type at each of the three sites (N = 24 quadrats per substrate type, N = 120 quadrats total). Each photoquadrat was divided into sixteen 12 cm x 12 cm sections which were individually photographed, and percent cover was estimated from 9 stratified random points per section (N = 144 point per quadrat). proprietary
gov.noaa.nodc:0127525_Not Applicable Abundance and behavior of parrotfishes (Labridae, Scarinae) in the upper Florida Keys from 2013-06-19 to 2013-07-30 (NCEI Accession 0127525) ALL STAC Catalog 2013-06-19 2013-07-30 -80.38, 25, -80.21, 25.22 https://cmr.earthdata.nasa.gov/search/concepts/C2089376534-NOAA_NCEI.umm_json To better understand the functional roles of parrotfishes on Caribbean coral reefs we documented abundance, habitat preferences, and diets of nine species of parrotfishes (Scarus coelestinus, Scarus coeruleus, Scarus guacamaia, Scarus taeniopterus, Scarus vetula, Sparisoma aurofrenatum, Sparisoma chrysopterum, Sparisoma rubripinne, Sparisoma viride) on three high-relief spur-and-groove reefs (Molasses, Carysfort, and Elbow) offshore of Key Largo in the Florida Keys National Marine Sanctuary. On each reef, we conducted fish surveys, behavioral observations, and benthic surveys in three habitat types: high-relief spur and groove (depth 2 - 6 m), low-relief carbonate platform/hardbottom (depth 4 - 12 m), and carbonate boulder/rubble fields (depth 4 - 9 m). In addition, fish surveys were also conducted on a fourth high-relief spur-and-groove reef (French). We estimated parrotfish abundance in each of the three habitat types in order to assess the relative abundance and biomass of different species and to quantify differences in habitat selection. To estimate parrotfish density, we conducted 20 to 30 minute timed swims while towing a GPS receiver on a float on the surface to calculate the amount of area sampled. During a swim the observer would swim parallel with the habitat type being sampled and count and estimate the size to the nearest cm of all parrotfishes greater than or equal to 15 cm in length that were encountered in a 5 m wide swath. To quantify parrotfish behavior, approximately six individuals of each species were observed at each site for 20 min each. Foraging behavior was recorded by a SCUBA diver while towing a GPS receiver (Garmin GPS 72) attached to a surface float, which obtained position fixes of the focal fish at 15 s intervals. Fish were followed from a close distance (~ 2 m when possible), and food items were identified to the lowest taxonomic level possible, with macroalgae and coral usually identified to genus or species. Many bites involved scraping or excavating substrate colonized by a multi-species assemblage of filamentous âturfâ algae and crustose coralline algae (CCA). Thus, multiple species of filamentous algae, endolithic algae, and CCA could be harvested in a single bite, and it was impossible to determine the specific species of algae targeted. We also recorded the type of substrate targeted during each foraging bout, categorizing each substrate as one of the following: (1) dead coral, (2) coral pavement, (3) boulder, (4) rubble, or (5) ledge. Dead coral included both convex and concave surfaces on the vertical and horizontal planes of three dimensional coral skeletons (primarily dead Acropora palmata) that were attached to reef substrate. Coral pavement was carbonate reef with little topographic complexity (i.e., flat limestone pavement). Boulder was large remnants of dead mounding corals not clearly attached to the bottom and often partially buried in sand. Coral rubble consisted of small dead coral fragments (generally < 10 cm in any dimension) that could be moved with minimal force. Ledges consisted entirely of the undercut sides of large spurs in the high-relief spur and groove habitat. In order to quantify the relative abundance of different food types, we estimated the percent cover of algae, coral, and other sessile invertebrates on each of the five substrates commonly targeted by parrotfishes (dead coral, coral pavement, boulder, rubble, or ledge) in 0.5 m x 0.5 m photoquadrats. We photographed a total of 8 haphazardly selected quadrats dispersed throughout the study site for each substrate type at each of the three sites (N = 24 quadrats per substrate type, N = 120 quadrats total). Each photoquadrat was divided into sixteen 12 cm x 12 cm sections which were individually photographed, and percent cover was estimated from 9 stratified random points per section (N = 144 point per quadrat). proprietary
gov.noaa.nodc:0128996_Not Applicable Benthic and biological data in the New York Bight from 2010-06-01 to 2012-05-31 (NCEI Accession 0128996) NOAA_NCEI STAC Catalog 2010-06-01 2012-05-31 -75, 37, -69, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2089376996-NOAA_NCEI.umm_json These data sets show the distribution of key species and habitats, such as seabirds, bathymetry, surficial sediments, deep sea corals, and oceanographic habitats. NOAAâs Biogeography Branch worked with the New York Department of State (DOS) to interpret existing ecological information and create these new data sets. New York plans to integrate this information with other ecological and human use data compiled by others (for example, The Nature Conservancy, Northeast Fisheries Science Center) and apply ecosystem-based management and plan for ocean uses. Many academic, state and federal and non-governmental organization partners contributed to this project with data, analyses and reviews. Project partners included: the University of Alaska, Biology and Wildlife Department; University of Texas, Institute for Geophysics; The Nature Conservancy, Mid-Atlantic Marine Program; the National Marine Fisheries Service (NMFS), Northeast Fisheries Science Center, and the NMFS, Deep-Sea Coral Research and Technology Program. proprietary
gov.noaa.nodc:0129395_Not Applicable Chlorophyll accessory pigments collected from NOAA Ship OSCAR ELTON SETTE in North Pacific Ocean from 2008-03-01 to 2011-04-01 (NCEI Accession 0129395) NOAA_NCEI STAC Catalog 2008-03-01 2011-04-01 -158, 26, -158, 36 https://cmr.earthdata.nasa.gov/search/concepts/C2089377189-NOAA_NCEI.umm_json These data represent the chlorophyll accessory pigments measured from discrete depth water samples collected in CTD-mounted 10 liter Niskin bottles as part of NOAA surveys in the central North Pacific Ocean north of Hawaii. Accessory pigments were measured post-survey at the University of Hawaii using HPLC methods. proprietary
gov.noaa.nodc:0130065_Not Applicable Chlorophyll A, hydrostatic pressure, and water density measurements collected from New Horizon in Gulf of California and North Pacific Ocean from 2004-07-14 to 2008-08-06 (NCEI Accession 0130065) NOAA_NCEI STAC Catalog 2004-07-14 2008-08-06 -120.5, 20.48, -106.48, 32.52 https://cmr.earthdata.nasa.gov/search/concepts/C2089377812-NOAA_NCEI.umm_json Extracted chlorophyll A, normalized to filtered volume, from suspended particulate material collected via Niskin bottle from the Gulf of California in the summers of 2004, 2005, and 2008, as well as from the Eastern Tropical North Pacific in 2008. proprietary
-gov.noaa.nodc:0130929_Not Applicable AFSC/REFM: Isolation by distance (IBD) Alaskan fish stock structure modeling (NCEI Accession 0130929) ALL STAC Catalog 1980-01-01 2012-01-01 170, 50, -160, 62 https://cmr.earthdata.nasa.gov/search/concepts/C2089378414-NOAA_NCEI.umm_json This model study examines several management strategies for two marine fish species subject to isolation-by-distance (IBD): Pacific cod in the Aleutian Islands (AI) and northern rockfish in the Eastern Bering Sea (EBS) and Aleutian Islands. A one-dimensional stepping stone model was used to model isolation by distance, and was intended to mimic regions where marine species are exploited along a continental shelf. The performance of spatial assessment and management methods depended on how the range was split. Splitting anywhere within the managed area led to fewer demes falling below target and threshold biomass levels and higher yield than managing the entire area as a single unit. Equilibrium yield was maximized when each deme was assessed and managed separately and under catch cascading, in which harvest quotas within a management unit are spatially allocated based upon the distribution of survey biomass. The longer-lived rockfish declined more slowly than Pacific cod, and experienced greater depletion in biomass under disproportionate fishing effort due to lower productivity. Overall, splitting a management area of the size simulated in the model improved performance measures, and the optimal management strategy grouped management units by demes with similar relative fishing effort. proprietary
gov.noaa.nodc:0130929_Not Applicable AFSC/REFM: Isolation by distance (IBD) Alaskan fish stock structure modeling (NCEI Accession 0130929) NOAA_NCEI STAC Catalog 1980-01-01 2012-01-01 170, 50, -160, 62 https://cmr.earthdata.nasa.gov/search/concepts/C2089378414-NOAA_NCEI.umm_json This model study examines several management strategies for two marine fish species subject to isolation-by-distance (IBD): Pacific cod in the Aleutian Islands (AI) and northern rockfish in the Eastern Bering Sea (EBS) and Aleutian Islands. A one-dimensional stepping stone model was used to model isolation by distance, and was intended to mimic regions where marine species are exploited along a continental shelf. The performance of spatial assessment and management methods depended on how the range was split. Splitting anywhere within the managed area led to fewer demes falling below target and threshold biomass levels and higher yield than managing the entire area as a single unit. Equilibrium yield was maximized when each deme was assessed and managed separately and under catch cascading, in which harvest quotas within a management unit are spatially allocated based upon the distribution of survey biomass. The longer-lived rockfish declined more slowly than Pacific cod, and experienced greater depletion in biomass under disproportionate fishing effort due to lower productivity. Overall, splitting a management area of the size simulated in the model improved performance measures, and the optimal management strategy grouped management units by demes with similar relative fishing effort. proprietary
+gov.noaa.nodc:0130929_Not Applicable AFSC/REFM: Isolation by distance (IBD) Alaskan fish stock structure modeling (NCEI Accession 0130929) ALL STAC Catalog 1980-01-01 2012-01-01 170, 50, -160, 62 https://cmr.earthdata.nasa.gov/search/concepts/C2089378414-NOAA_NCEI.umm_json This model study examines several management strategies for two marine fish species subject to isolation-by-distance (IBD): Pacific cod in the Aleutian Islands (AI) and northern rockfish in the Eastern Bering Sea (EBS) and Aleutian Islands. A one-dimensional stepping stone model was used to model isolation by distance, and was intended to mimic regions where marine species are exploited along a continental shelf. The performance of spatial assessment and management methods depended on how the range was split. Splitting anywhere within the managed area led to fewer demes falling below target and threshold biomass levels and higher yield than managing the entire area as a single unit. Equilibrium yield was maximized when each deme was assessed and managed separately and under catch cascading, in which harvest quotas within a management unit are spatially allocated based upon the distribution of survey biomass. The longer-lived rockfish declined more slowly than Pacific cod, and experienced greater depletion in biomass under disproportionate fishing effort due to lower productivity. Overall, splitting a management area of the size simulated in the model improved performance measures, and the optimal management strategy grouped management units by demes with similar relative fishing effort. proprietary
gov.noaa.nodc:0131425_Not Applicable Bowhead Whale Feeding Ecology Study (BOWFEST): Aerial Survey in Chukchi and Beaufort Seas conducted from 2007-08-23 to 2011-09-16 (NCEI Accession 0131425) NOAA_NCEI STAC Catalog 2007-08-23 2011-09-16 -157.33, 70.79, -151.84, 72.05 https://cmr.earthdata.nasa.gov/search/concepts/C2089378614-NOAA_NCEI.umm_json The Bowhead Whale Feeding Ecology Study (BOWFEST) was initiated in May 2007 through an Interagency Agreement between the Bureau of Ocean Energy Management (BOEM) (formerly Minerals Management Service (MMS)) and the National Marine Mammal Laboratory (NMML). This was a multi-disciplinary study involving oceanography, acoustics, tagging, stomach sampling and aerial surveys and included scientists from a wide range of institutions (Woods Hole Oceanographic Institution (WHOI), University of Rhode Island (URI), University of Alaska Fairbanks (UAF), University of Washington (UW), Oregon State University (OSU), North Slope Borough (NSB), and NMML. The data described and presented here are only from the aerial survey component of this larger study. The focus of the aerial survey was to document patterns and variability in the timing and locations of bowhead whales. Using a NOAA Twin Otter, scientists from NMML conducted aerial surveys from mid-August to mid-September during this five year study between years 2007-2011. Surveys were conducted in the BOWFEST study area (continental shelf waters between 157 degree W and 152 degree W and from the coastline to 72 degree N, with most of the effort concentrated between 157 degree W and 154 degree W and between the coastline and 71 degree 44'N). proprietary
gov.noaa.nodc:0131862_Not Applicable Cetacean line-transect survey conducted in the eastern Bering Sea shelf by Alaska Fisheries Science Center, National Marine Mammal Laboratory from NOAA Ship Miller Freeman from 1999-07-07 to 2004-06-30 (NCEI Accession 0131862) NOAA_NCEI STAC Catalog 1999-07-07 2004-06-30 -178.9167, 53.9212, -153.451, 63.0152 https://cmr.earthdata.nasa.gov/search/concepts/C2089378822-NOAA_NCEI.umm_json Visual surveys for cetaceans were conducted on the eastern Bering Sea shelf along transect lines, in association with the AFSCâs echo integration trawl surveys for walleye pollock. Surveys in 2000 and 2004 were from early June to early July, the survey in 2002 was from early June to late July, and the survey in 1999 was from early July to early August. Searches for cetaceans were conducted from the flying bridge of NOAA Ship Miller Freeman at a platform height of 12 m above the sea surface and survey speed of 18.5 22.0 km/h (10 12 kts). North south transect lines were spaced 37 km apart and defined by the historical acoustic survey for walleye pollock. Insufficient funding precluded including cetacean observers on all legs except in 2002. See Friday et al. 2012. Cetacean distribution and abundance in relation to oceanographic domains on the eastern Bering Sea shelf: 1999-2004 (http://www.sciencedirect.com/science/article/pii/S0967064512000100). proprietary
gov.noaa.nodc:0133936_Not Applicable Beluga whales aerial survey conducted by Alaska Fisheries Scientific Center, National Marine Mammal Laboratory from 1993-06-02 to 2014-06-12 (NCEI Accession 0133936) NOAA_NCEI STAC Catalog 1993-06-02 2014-06-12 -154.28, 58.82, -148.96, 61.63 https://cmr.earthdata.nasa.gov/search/concepts/C2089379076-NOAA_NCEI.umm_json The National Marine Fisheries Service (NMFS) has conducted aerial counts of Cook Inlet beluga whales (Delphinapterus leucas) from 1993 to 2014 (excluding 2013). Nearly all counts were conducted during the month of June. The routine nature of these counts and the consistency in research protocol lend themselves to inter-annual trend analyses. Beginning in 2005, an aerial survey was added during the month of August to document calving groups within the upper Inlet (north of East and West Foreland). Research protocol has been based on paired observers on the shoreward side of the aircraft and a single observer and computer operator on the offshore side independently searching for marine mammals. Data on environmental conditions, time, location, species, and inclinometer angle were collected for each sighting. The counting protocol included multiple passes near each beluga group while simultaneously collecting video footage. The counting system and observer performance has been tested through paired, independent observational effort. Aerial observer counts are used to calculate median counts for each beluga group to provide a daily index for the population prior to calculating the abundance estimate. Video has been used to count the number of animals in the group to correct for missed animals in the observer counts (perception bias). One video camera had a lens set at a wide angle to view the entire beluga group while the second video camera was zoomed to approximately 10x to magnify a subsample of individual whales in the group. The zoomed video has been used to examine color ratios of white adults relative to smaller and darker juveniles and calves and correct for those individuals missed due to their size or coloration. Aerial counts and video footage of beluga whales provide the fundamental data used to calculate the abundance of and a calving index for the Cook Inlet population. The abundance estimates are applied to trends analyses to determine the status of the stock. Three datasets are included here that contain basic survey data such as latitude, longitude and sightings, as well as the counts of beluga whale groups made by the aerial observers and the results from video analysis from data collected on surveys from 1993-2012, and 2014. proprietary
@@ -18652,13 +18654,13 @@ gov.noaa.nodc:0155488_Not Applicable Bottom Dissolved Oxygen Maps From SEAMAP Su
gov.noaa.nodc:0155948_Not Applicable CHLOROPHYLL A CONCENTRATION collected from NOAA Ship OSCAR ELTON SETTE in Hawaii EEZ and Palmyra EEZ from 2011-10-20 to 2011-11-17 (NCEI Accession 0155948) NOAA_NCEI STAC Catalog 2011-10-20 2011-11-17 -165.19666, 4.1355, -156.3175, 21.221 https://cmr.earthdata.nasa.gov/search/concepts/C2089376252-NOAA_NCEI.umm_json Water samples were collected from the ocean surface using a bucket and from below the surface using bottles attached to the CTD during a Pacific Islands Fisheries Science Center's Cetacean Research Program's shipboard cetacean survey (Cruise ID: SE 11-08). A minimum of three surface water samples were taken each day, primarily at 0900, 1200, and 1500 hours local ship time. Surface water samples were also collected opportunistically during some cetacean sightings. CTD samples were collected once each morning. The 250ml water samples were filtered onto GF/F filters, placed in 10ml of 90% acetone, refrigerated or frozen for 24 hours, and then analyzed for chlorophyll a concentration using the Turner Designs model 10AU field flourometer. Measurements were recorded in an Excel spreadsheet. proprietary
gov.noaa.nodc:0155964_Not Applicable CHLOROPHYLL A CONCENTRATION collected from NOAA Ship OSCAR ELTON SETTE in Hawaii EEZ and Papahanaumokuakea Marine National Monument from 2013-05-08 to 2013-06-03 (NCEI Accession 0155964) NOAA_NCEI STAC Catalog 2013-05-08 2013-06-03 -177, -14.2446, -157.92, 28.79 https://cmr.earthdata.nasa.gov/search/concepts/C2089376312-NOAA_NCEI.umm_json Water samples were collected from the ocean surface using a bucket and from below the surface using bottles attached to the CTD during a Pacific Islands Fisheries Science Center's Cetacean Research Program's shipboard cetacean survey (Cruise ID SE 13-03). A minimum of three surface water samples were taken each day, primarily at 0900, 1200, and 1500 hours local ship time. Surface water samples were also collected opportunistically during some cetacean sightings. CTD samples were collected once each morning. The 250ml water samples were filtered onto GF/F filters, placed in 10ml of 90% acetone, refrigerated or frozen for 24 hours, and then analyzed for chlorophyll a concentration using the Turner Designs model 10AU field flourometer. Measurements were recorded in an Excel spreadsheet. proprietary
gov.noaa.nodc:0155998_Not Applicable CHLOROPHYLL A CONCENTRATION collected from NOAA Ship OSCAR ELTON SETTE in Hawaii EEZ, Palmyra EEZ, and American Samoa EEZ from 2012-04-23 to 2012-05-15 (NCEI Accession 0155998) NOAA_NCEI STAC Catalog 2012-04-23 2012-05-15 -169.9633, -14.2446, -157.2218, 19.2698 https://cmr.earthdata.nasa.gov/search/concepts/C2089376410-NOAA_NCEI.umm_json Surface water samples were collected during a Pacific Islands Fisheries Science Center's Cetacean Research Program's shipboard cetacean survey (Cruise ID SE 12-03). A minimum of three surface water samples were taken each day, primarily at 0900, 1200, and 1500 hours local ship time. Samples were also collected opportunistically during some cetacean sightings. The 250ml water samples were filtered onto GF/F filters, placed in 10ml of 90% acetone, refrigerated or frozen for 24 hours, and then analyzed for chlorophyll a concentration using the Turner Designs model 10AU field flourometer. Measurements were recorded in an Excel spreadsheet. proprietary
-gov.noaa.nodc:0156424_Not Applicable Absolute Geostrophic Velocity Inverted from the Environmental Working Group (EWG) Joint U.S.-Russian Atlas of the Arctic Ocean with the P-Vector Method (NCEI Accession 0156424) ALL STAC Catalog 1950-01-01 1996-12-31 -180, 58, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089376812-NOAA_NCEI.umm_json The dataset (called EWG-V) comprises 3D gridded climatological fields of absolute geostrophic velocity inverted from the Environmental Working Group (EWG) Joint U.S.-Russian Atlas of the Arctic Ocean using the P-vector method. It provides a climatological velocity field that is dynamically compatible to the EWG (T, S) fields. The EWG-V velocity fields have the annual, and seasonal (winter and summer) means with the same horizontal resolution of 25 km and 90 vertical levels as the EWG temperature and salinity fields. proprietary
gov.noaa.nodc:0156424_Not Applicable Absolute Geostrophic Velocity Inverted from the Environmental Working Group (EWG) Joint U.S.-Russian Atlas of the Arctic Ocean with the P-Vector Method (NCEI Accession 0156424) NOAA_NCEI STAC Catalog 1950-01-01 1996-12-31 -180, 58, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089376812-NOAA_NCEI.umm_json The dataset (called EWG-V) comprises 3D gridded climatological fields of absolute geostrophic velocity inverted from the Environmental Working Group (EWG) Joint U.S.-Russian Atlas of the Arctic Ocean using the P-vector method. It provides a climatological velocity field that is dynamically compatible to the EWG (T, S) fields. The EWG-V velocity fields have the annual, and seasonal (winter and summer) means with the same horizontal resolution of 25 km and 90 vertical levels as the EWG temperature and salinity fields. proprietary
+gov.noaa.nodc:0156424_Not Applicable Absolute Geostrophic Velocity Inverted from the Environmental Working Group (EWG) Joint U.S.-Russian Atlas of the Arctic Ocean with the P-Vector Method (NCEI Accession 0156424) ALL STAC Catalog 1950-01-01 1996-12-31 -180, 58, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089376812-NOAA_NCEI.umm_json The dataset (called EWG-V) comprises 3D gridded climatological fields of absolute geostrophic velocity inverted from the Environmental Working Group (EWG) Joint U.S.-Russian Atlas of the Arctic Ocean using the P-vector method. It provides a climatological velocity field that is dynamically compatible to the EWG (T, S) fields. The EWG-V velocity fields have the annual, and seasonal (winter and summer) means with the same horizontal resolution of 25 km and 90 vertical levels as the EWG temperature and salinity fields. proprietary
gov.noaa.nodc:0156425_Not Applicable Absolute Geostrophic Velocity Inverted from the Polar Science Center Hydrographic Climatology (PHC3.0) of the Arctic Ocean with the P-Vector Method (NCEI Accession 0156425) ALL STAC Catalog 1900-01-01 1998-12-31 -180, 45, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089376820-NOAA_NCEI.umm_json The dataset (called PHC-V) comprises 3D gridded climatological fields of absolute geostrophic velocity of the Arctic Ocean inverted from the Polar science center Hydrographic Climatology (PHC) temperature and salinity fields (version 3.0) using the P-vector method. It provides climatological annual, seasonal, and monthly mean velocity fields with the same horizontal resolution (1 deg in horizontal, 33 levels in vertical), and dynamical compatibility to the PHC3.0 (T, S) fields. proprietary
gov.noaa.nodc:0156425_Not Applicable Absolute Geostrophic Velocity Inverted from the Polar Science Center Hydrographic Climatology (PHC3.0) of the Arctic Ocean with the P-Vector Method (NCEI Accession 0156425) NOAA_NCEI STAC Catalog 1900-01-01 1998-12-31 -180, 45, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089376820-NOAA_NCEI.umm_json The dataset (called PHC-V) comprises 3D gridded climatological fields of absolute geostrophic velocity of the Arctic Ocean inverted from the Polar science center Hydrographic Climatology (PHC) temperature and salinity fields (version 3.0) using the P-vector method. It provides climatological annual, seasonal, and monthly mean velocity fields with the same horizontal resolution (1 deg in horizontal, 33 levels in vertical), and dynamical compatibility to the PHC3.0 (T, S) fields. proprietary
gov.noaa.nodc:0156692_Not Applicable Bioerosion Accretion Replicate (BAR) data covering in situ calcification and bioerosion rates along pH gradients at two volcanically acidified reefs in Papua New Guinea from 2013-01-18 to 2014-11-10 (NCEI Accession 0156692) NOAA_NCEI STAC Catalog 2013-01-18 2014-11-10 150.775, -9.875, 150.925, -9.725 https://cmr.earthdata.nasa.gov/search/concepts/C2089377345-NOAA_NCEI.umm_json "Bioerosion Accretion Replicate (BAR) data covering in situ calcification and bioerosion rates along pH gradients at two volcanically acidified reefs in Papua New Guinea. Methodologies, results, and analysis may be found in ""Enhanced macroboring and depressed calcification drive net dissolution at high-CO2 coral reef"" which is published in the Proceedings of the Royal Society, Series B" proprietary
-gov.noaa.nodc:0156765_Not Applicable Age and Growth of Spotted Sea Trout in the Gulf of Mexico from 1994 to 1996 (NCEI Accession 0156765) NOAA_NCEI STAC Catalog 1994-05-06 1996-08-30 -87.6, 29.6, -84.7, 30.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089377384-NOAA_NCEI.umm_json These data sets contain raw and processed data to compare life history demographic information necessary to manage spotted seatrout in NW Florida. Specific objectives were to develop estuary-specific information on age growth, mortality rates, spawning seasonality, age size at maturity, and age size composition of the recreational fishery for Apalachicola, St. Joseph, St. Andrew, Choctawhatchee, Pensacola, and Perdido Bay systems. proprietary
gov.noaa.nodc:0156765_Not Applicable Age and Growth of Spotted Sea Trout in the Gulf of Mexico from 1994 to 1996 (NCEI Accession 0156765) ALL STAC Catalog 1994-05-06 1996-08-30 -87.6, 29.6, -84.7, 30.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089377384-NOAA_NCEI.umm_json These data sets contain raw and processed data to compare life history demographic information necessary to manage spotted seatrout in NW Florida. Specific objectives were to develop estuary-specific information on age growth, mortality rates, spawning seasonality, age size at maturity, and age size composition of the recreational fishery for Apalachicola, St. Joseph, St. Andrew, Choctawhatchee, Pensacola, and Perdido Bay systems. proprietary
+gov.noaa.nodc:0156765_Not Applicable Age and Growth of Spotted Sea Trout in the Gulf of Mexico from 1994 to 1996 (NCEI Accession 0156765) NOAA_NCEI STAC Catalog 1994-05-06 1996-08-30 -87.6, 29.6, -84.7, 30.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089377384-NOAA_NCEI.umm_json These data sets contain raw and processed data to compare life history demographic information necessary to manage spotted seatrout in NW Florida. Specific objectives were to develop estuary-specific information on age growth, mortality rates, spawning seasonality, age size at maturity, and age size composition of the recreational fishery for Apalachicola, St. Joseph, St. Andrew, Choctawhatchee, Pensacola, and Perdido Bay systems. proprietary
gov.noaa.nodc:0156869_Not Applicable Captive sea turtle rearing inventory, feeding, and water chemistry in sea turtle rearing tanks at NOAA Galveston, Texas from 1995 to 2015 (NCEI Accession 0156869) NOAA_NCEI STAC Catalog 2005-01-03 2015-12-31 -94.819688, 29.274811, -94.81456, 29.278028 https://cmr.earthdata.nasa.gov/search/concepts/C2089377448-NOAA_NCEI.umm_json The database contains Excel and CSV spreadsheets monitoring captive Sea Turtle rearing program. Daily feeding logs as well as water chemistry were recorded. proprietary
gov.noaa.nodc:0156913_Not Applicable Carbonate Budget data of the Southeast Florida Coral Reef Initiative (SEFCRI) region from 2014-09-29 to 2014-10-17 (NCEI Accession 0156913) NOAA_NCEI STAC Catalog 2014-09-29 2014-10-17 -80.104, 25.6519, -80.077, 26.1636 https://cmr.earthdata.nasa.gov/search/concepts/C2089377484-NOAA_NCEI.umm_json This data set includes census based carbonate budget data that was collected in coral reef habitats located within the SEFCRI region. Surveys (based on Perry et al 2012) were collected over the course of several weeks at four major sites: Emerald, Oakland Ridge, Barracuda, and Pillars. Within each of these sites, six transect surveys (10m each) were conducted to quantify benthic cover, macrobioerosion, and microbioerosion. Ten parrotfish surveys were also conducted to account for parrotfish erosion rates at each site. This carbonate budget data along with other sea water chemistry data collected were used to inform the overall project looking at the sensitivity of the SEFCRI region to OA. We measured ambient seasonal variability across inshore/offshore reef habitats to predict the response of the CaCO3 budget of coral reefs in the SEFCRI region to ocean acidification. This data set includes all of the carbonate budget surveys that were collected to identify the sensitivity of the SEFCRI region to OA. proprietary
gov.noaa.nodc:0157022_Not Applicable Carbonate data collected from R/V Hildebrand in the SEFCRI region of the Florida Reef Tract from 2014-05-27 to 2015-09-02 (NCEI Accession 0157022) NOAA_NCEI STAC Catalog 2014-05-27 2015-09-02 -80.1328, 25.5906, -80.077, 26.1636 https://cmr.earthdata.nasa.gov/search/concepts/C2089377840-NOAA_NCEI.umm_json This data set includes seawater chemistry that was collected in coral reef habitats located within the SEFCRI region as well as inlets and outfalls that release nutrient rich and/or sediment laden freshwater to the coastal waters South Florida. Freshwater runoff and riverine inputs are known to be enriched in dissolved inorganic carbon, and diluted lower saline waters are known to have elevated pCO2 (e.g., Manzello et al. 2013) which is why those areas in addition to the reef sites were included in our analyses. This data along with other data collected in the field were used to inform the overall project looking at the sensitivity of the SEFCRI region to OA. We measured ambient seasonal variability across inshore/offshore reef habitats to predict the response of the CaCO3 budget of coral reefs in the SEFCRI region to ocean acidification. This data set includes all of the seawater samples that were collected and analyzed to identify the carbonate chemistry in this region. proprietary
@@ -18672,8 +18674,8 @@ gov.noaa.nodc:0159386_Not Applicable Airborne eXpendable BathyThermographs (AXBT
gov.noaa.nodc:0159419_Not Applicable ADCP, CTD, MIDAS, and cruise track data collected from R/V Pelican in Galveston and Trinity Bay, Texas and the Gulf of Mexico from 2013-10-17 to 2013-10-20 (NCEI Accession 0159419) ALL STAC Catalog 2013-10-17 2013-10-20 -94.9828, 26.16133, -88, 29.69641 https://cmr.earthdata.nasa.gov/search/concepts/C2089377667-NOAA_NCEI.umm_json Sampling of in situ seawater, macroalgae, macrocrustaceans and associated fauna (cruise GoMRI-II, October 17-20 2013, stns 1-18, data available for all) aboard the R/V Pelican cruise id PE14-10b was targeted to repeat sampling of previously studied hard banks and adjacent deep waters west of the mouth of the Mississippi River and extending east to offshore Alabama, an area encompassing roughly 27°58'N to 29°26'N and 87°34'W to 91°01'W. Submitted metadata are ADCP, CTD, Marks and Cruise Track Data. proprietary
gov.noaa.nodc:0159419_Not Applicable ADCP, CTD, MIDAS, and cruise track data collected from R/V Pelican in Galveston and Trinity Bay, Texas and the Gulf of Mexico from 2013-10-17 to 2013-10-20 (NCEI Accession 0159419) NOAA_NCEI STAC Catalog 2013-10-17 2013-10-20 -94.9828, 26.16133, -88, 29.69641 https://cmr.earthdata.nasa.gov/search/concepts/C2089377667-NOAA_NCEI.umm_json Sampling of in situ seawater, macroalgae, macrocrustaceans and associated fauna (cruise GoMRI-II, October 17-20 2013, stns 1-18, data available for all) aboard the R/V Pelican cruise id PE14-10b was targeted to repeat sampling of previously studied hard banks and adjacent deep waters west of the mouth of the Mississippi River and extending east to offshore Alabama, an area encompassing roughly 27°58'N to 29°26'N and 87°34'W to 91°01'W. Submitted metadata are ADCP, CTD, Marks and Cruise Track Data. proprietary
gov.noaa.nodc:0159850_Not Applicable Burrowing behavior of penaeid shrimps in the Gulf of Mexico from 1984-10-01 to 1985-12-06 (NCEI Accession 0159850) NOAA_NCEI STAC Catalog 1984-10-01 1985-12-06 -94.815127, 29.275417, -94.815127, 29.275417 https://cmr.earthdata.nasa.gov/search/concepts/C2089377792-NOAA_NCEI.umm_json This data set contains hourly visual observations of burrowing behavior in penaeid shrimp. proprietary
-gov.noaa.nodc:0161311_Not Applicable A Comprehensive Inventory of Alabama Coastal Zone Wetland Habitats (Swamps, Marshes, Submersed Grassbeds) from 1980 to 1982 (NCEI Accession 0161311) ALL STAC Catalog 1979-01-01 1982-12-31 -88.431, 30.2129, -87.328, 31.0701 https://cmr.earthdata.nasa.gov/search/concepts/C2089378452-NOAA_NCEI.umm_json Digitized maps of Mobile Bay and other coastal areas of Alabama, showing habitat types and species compositions of the vegetation in three broad categories of wetland: swamps, marshes, and submersed grassbeds. All areas in the Alabama Coastal Zone of less than 10 feet elevation above sea level, up to the fork of the Tombigbee and Alabama Rivers, were included in the inventory. Habitat boundary delineations were based on aerial photographs from 1979 and 1980, with transects by boat or foot for field verification in 1980-1982. Dataset includes habitat type classifications based on species compositions, and identifications of dominant species at each location. proprietary
gov.noaa.nodc:0161311_Not Applicable A Comprehensive Inventory of Alabama Coastal Zone Wetland Habitats (Swamps, Marshes, Submersed Grassbeds) from 1980 to 1982 (NCEI Accession 0161311) NOAA_NCEI STAC Catalog 1979-01-01 1982-12-31 -88.431, 30.2129, -87.328, 31.0701 https://cmr.earthdata.nasa.gov/search/concepts/C2089378452-NOAA_NCEI.umm_json Digitized maps of Mobile Bay and other coastal areas of Alabama, showing habitat types and species compositions of the vegetation in three broad categories of wetland: swamps, marshes, and submersed grassbeds. All areas in the Alabama Coastal Zone of less than 10 feet elevation above sea level, up to the fork of the Tombigbee and Alabama Rivers, were included in the inventory. Habitat boundary delineations were based on aerial photographs from 1979 and 1980, with transects by boat or foot for field verification in 1980-1982. Dataset includes habitat type classifications based on species compositions, and identifications of dominant species at each location. proprietary
+gov.noaa.nodc:0161311_Not Applicable A Comprehensive Inventory of Alabama Coastal Zone Wetland Habitats (Swamps, Marshes, Submersed Grassbeds) from 1980 to 1982 (NCEI Accession 0161311) ALL STAC Catalog 1979-01-01 1982-12-31 -88.431, 30.2129, -87.328, 31.0701 https://cmr.earthdata.nasa.gov/search/concepts/C2089378452-NOAA_NCEI.umm_json Digitized maps of Mobile Bay and other coastal areas of Alabama, showing habitat types and species compositions of the vegetation in three broad categories of wetland: swamps, marshes, and submersed grassbeds. All areas in the Alabama Coastal Zone of less than 10 feet elevation above sea level, up to the fork of the Tombigbee and Alabama Rivers, were included in the inventory. Habitat boundary delineations were based on aerial photographs from 1979 and 1980, with transects by boat or foot for field verification in 1980-1982. Dataset includes habitat type classifications based on species compositions, and identifications of dominant species at each location. proprietary
gov.noaa.nodc:0161523_Not Applicable Biological, chemical, physical and time series data collected from station WQB04 by University of Hawai'i at Hilo and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2010-10-23 to 2016-12-31 (NCEI Accession 0161523) NOAA_NCEI STAC Catalog 2010-10-23 2016-12-31 -155.082, 19.7341, -155.082, 19.7341 https://cmr.earthdata.nasa.gov/search/concepts/C2089378474-NOAA_NCEI.umm_json NCEI Accession 0161523 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo collected the data from their in-situ moored station named WQB04: PacIOOS Water Quality Buoy 04 (WQB-04): Hilo Bay, Big Island, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB04 is located in Hilo Bay on the east side of the Big Island. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill. proprietary
gov.noaa.nodc:0162518_Not Applicable ADCP, CTD, and MIDAS data collected from Ewing and Sackett Gulf Deep Banks, Gulf of Mexico on the R/V Pelican in Gulf of Mexico from 2012-11-15 to 2012-11-17 (NCEI Accession 0162518) ALL STAC Catalog 2012-11-15 2012-11-17 -91.20748, 27.49168, -89, 29.0029 https://cmr.earthdata.nasa.gov/search/concepts/C2089380274-NOAA_NCEI.umm_json Sampling of in situ seawater, macroalgae, macrocrustaceans and associated fauna (cruise GoMRI-II, November 15-17 2012, stns 1-18, data available for all) aboard the R/V Pelican cruise id PE13-14 was targeted to repeat sampling of previously studied hard banks and adjacent deep waters west of the mouth of the Mississippi River and extending east to offshore Alabama, an area encompassing roughly 27°58'N to 29°26'N and 87°34'W to 91°01'W. Submitted metadata are ADCP, CTD, Marks and Cruise Track Data. proprietary
gov.noaa.nodc:0162518_Not Applicable ADCP, CTD, and MIDAS data collected from Ewing and Sackett Gulf Deep Banks, Gulf of Mexico on the R/V Pelican in Gulf of Mexico from 2012-11-15 to 2012-11-17 (NCEI Accession 0162518) NOAA_NCEI STAC Catalog 2012-11-15 2012-11-17 -91.20748, 27.49168, -89, 29.0029 https://cmr.earthdata.nasa.gov/search/concepts/C2089380274-NOAA_NCEI.umm_json Sampling of in situ seawater, macroalgae, macrocrustaceans and associated fauna (cruise GoMRI-II, November 15-17 2012, stns 1-18, data available for all) aboard the R/V Pelican cruise id PE13-14 was targeted to repeat sampling of previously studied hard banks and adjacent deep waters west of the mouth of the Mississippi River and extending east to offshore Alabama, an area encompassing roughly 27°58'N to 29°26'N and 87°34'W to 91°01'W. Submitted metadata are ADCP, CTD, Marks and Cruise Track Data. proprietary
@@ -18681,10 +18683,10 @@ gov.noaa.nodc:0162828_Not Applicable Benthic cover derived from analysis of bent
gov.noaa.nodc:0162829_Not Applicable Assessing cryptic reef diversity of colonizing marine invertebrates using Autonomous Reef Monitoring Structures (ARMS) deployed at coral reef sites in Batangas, Philippines from 2012-03-12 to 2015-05-31 (NCEI Accession 0162829) NOAA_NCEI STAC Catalog 2012-03-12 2015-05-31 120.871943, 13.658594, 120.895127, 13.728054 https://cmr.earthdata.nasa.gov/search/concepts/C2089380450-NOAA_NCEI.umm_json Autonomous Reef Monitoring Structures (ARMS) are used by the NOAA Coral Reef Ecosystem Program (CREP) to assess and monitor cryptic reef diversity across the Pacific. Developed in collaboration with the Census of Marine Life (CoML) Census of Coral Reef Ecosystems (CReefs), ARMS are designed to mimic the structural complexity of a reef and attract/collect colonizing marine invertebrates. The key innovation of the ARMS method is that biodiversity is sampled over precisely the same surface area in the exact same manner. Thus, the use of ARMS is a systematic, consistent, and comparable method for monitoring the marine cryptobiota community over time. The data described here were collected by CREP from ARMS moored at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines. Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) from March 2012 to June 2015, and three ARMS units were deployed by SCUBA divers at each survey site. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. Each ARMS unit, constructed in-house by CREP, consisted of 23 cm x 23 cm gray, type 1 PVC plates stacked in alternating series of 4 open and 4 obstructed layers and attached to a base plate of 35 cm x 45 cm, which was affixed to the reef. Upon recovery, each ARMS unit was encapsulated, brought to the surface, and disassembled and processed. Disassembled plates were photographed to document recruited sessile organisms and scraped clean and preserved in 95% ethanol for DNA processing. Recruited motile organisms were sieved into 3 size fractions: 2 mm, 500 µm, and 100 µm. The 500 µm and 100 µm fractions were bulked and also preserved in 95% ethanol for DNA processing. The 2 mm fraction was sorted into morphospecies. The DNA sequencing data are not included in this archival package. proprietary
gov.noaa.nodc:0162830_Not Applicable Benthic images collected at coral reef sites in Batangas, Philippines from 2012-03-13 to 2012-03-15 and from 2015-05-24 to 2015-06-03 (NCEI Accession 0162830) NOAA_NCEI STAC Catalog 2012-03-13 2015-06-03 120.872, 13.6586, 120.895, 13.7281 https://cmr.earthdata.nasa.gov/search/concepts/C2089380458-NOAA_NCEI.umm_json Photographs of the seafloor were collected during benthic photo-quadrat surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) in 2012 and 2015 along transects at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines. Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) over time. The imagery from 2015 has been quantitatively analyzed using image analysis software to derive an estimate of percent benthic cover (archived separately). proprietary
gov.noaa.nodc:0162831_Not Applicable Calcification rates of crustose coralline algae (CCA) derived from Calcification Accretion Units (CAUs) deployed at coral reef sites in Batangas, Philippines in 2012 and recovered in 2015 (NCEI Accession 0162831) NOAA_NCEI STAC Catalog 2012-03-13 2015-06-03 120.872, 13.6586, 120.895, 13.7281 https://cmr.earthdata.nasa.gov/search/concepts/C2089380467-NOAA_NCEI.umm_json Laboratory experiments reveal calcification rates of crustose coralline algae (CCA) are strongly correlated to seawater aragonite saturation state. Predictions of reduced coral calcification rates, due to ocean acidification, suggest that coral reef communities will undergo ecological phase shifts as calcifying organisms are negatively impacted by changing seawater chemistry. Calcification accretion units, or CAUs, are used by the NOAA Coral Reef Ecosystem Program (CREP) to assess the current effects of changes in seawater carbonate chemistry on calcification and accretion rates of calcareous and fleshy algae. CAUs, constructed in-house by CREP, are composed of two 10 x 10 cm flat, square, gray PVC plates, stacked 1 cm apart, and are attached to the benthos by SCUBA divers using stainless steel threaded rods. Deployed on the seafloor for a period of time, calcareous organisms, primarily crustose coralline algae and encrusting corals, recruit to these plates and accrete/calcify carbonate skeletons over time. By measuring the change in weight of the CAUs, the reef carbonate accretion rate can be calculated for that time period. The calcification rate data described here were collected by CREP from CAUs moored at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines, in accordance with protocols developed by Price et al. (2012). Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) from March 2012 to June 2015, and five CAUs were deployed at each survey site. In conjunction with benthic community composition data (archived separately), these data serve as a baseline for detecting changes associated with changing seawater chemistry due to ocean acidification within coral reef environments. proprietary
-gov.noaa.nodc:0163192_Not Applicable A Comparison of the foraging ecology and bioenergetics of the early life-stages of two sympatric hammerhead sharks from 1998-07-12 to 2005-07-27 (NCEI Accession 0163192) ALL STAC Catalog 1998-07-12 2005-07-27 -86.2279, 27.4432, -80.1996, 30.7692 https://cmr.earthdata.nasa.gov/search/concepts/C2089380703-NOAA_NCEI.umm_json This Archival Information Package (AIP) contains basic biological information on bonnethead and scalloped hammerhead sharks with specific (by stomach and prey item) diet information for these two species. Data were collected by the NMFS Southeast Fisheries Science Center; Panama City, FL Laboratory in the Northeast Gulf of Mexico and the Atlantic Ocean off the coast of Florida from 1998 to 2005. Data are in comma separated value (CSV) format and include length, sex, and number of prey items. proprietary
gov.noaa.nodc:0163192_Not Applicable A Comparison of the foraging ecology and bioenergetics of the early life-stages of two sympatric hammerhead sharks from 1998-07-12 to 2005-07-27 (NCEI Accession 0163192) NOAA_NCEI STAC Catalog 1998-07-12 2005-07-27 -86.2279, 27.4432, -80.1996, 30.7692 https://cmr.earthdata.nasa.gov/search/concepts/C2089380703-NOAA_NCEI.umm_json This Archival Information Package (AIP) contains basic biological information on bonnethead and scalloped hammerhead sharks with specific (by stomach and prey item) diet information for these two species. Data were collected by the NMFS Southeast Fisheries Science Center; Panama City, FL Laboratory in the Northeast Gulf of Mexico and the Atlantic Ocean off the coast of Florida from 1998 to 2005. Data are in comma separated value (CSV) format and include length, sex, and number of prey items. proprietary
-gov.noaa.nodc:0163212_Not Applicable Acoustic Travel Time and Hydrostatic Pressure in Sermilik Fjord in Southeastern Greenland from 2011-08-23 to 2016-08-11 (NCEI Accession 0163212) ALL STAC Catalog 2011-08-23 2016-08-11 -37.8998, 65.5268, -37.6336, 66.2449 https://cmr.earthdata.nasa.gov/search/concepts/C2089380760-NOAA_NCEI.umm_json These data records are time series of (1) round trip surface to bottom acoustic travel time, (2) bottom pressure and (3) bottom temperature (with the latter internal to the instrument). The first goal in collecting these data was to develop and test non-traditional methods to measure the time-varying â¨heat content and vertical temperature profiles in high-latitude seas, shelves, and fjords using pressure-sensor-equipped inverted echo sounders (PIESs). The second goal was to use PIESs to measure icebergs and sea ice. We developed these methods with data collected in Sermilik Fjord in southeastern Greenland from a 1-year pilot deployment with 1 PIES (deployed mid fjord from 2011 to 2012) and data collected in a full deployment with 3 PIESs (deployed on the shelf by the fjord mouth, mid-fjord and in the upper fjord from 2013-2015/2016). The data format is NetCDF with CF-1.6 conventions. proprietary
+gov.noaa.nodc:0163192_Not Applicable A Comparison of the foraging ecology and bioenergetics of the early life-stages of two sympatric hammerhead sharks from 1998-07-12 to 2005-07-27 (NCEI Accession 0163192) ALL STAC Catalog 1998-07-12 2005-07-27 -86.2279, 27.4432, -80.1996, 30.7692 https://cmr.earthdata.nasa.gov/search/concepts/C2089380703-NOAA_NCEI.umm_json This Archival Information Package (AIP) contains basic biological information on bonnethead and scalloped hammerhead sharks with specific (by stomach and prey item) diet information for these two species. Data were collected by the NMFS Southeast Fisheries Science Center; Panama City, FL Laboratory in the Northeast Gulf of Mexico and the Atlantic Ocean off the coast of Florida from 1998 to 2005. Data are in comma separated value (CSV) format and include length, sex, and number of prey items. proprietary
gov.noaa.nodc:0163212_Not Applicable Acoustic Travel Time and Hydrostatic Pressure in Sermilik Fjord in Southeastern Greenland from 2011-08-23 to 2016-08-11 (NCEI Accession 0163212) NOAA_NCEI STAC Catalog 2011-08-23 2016-08-11 -37.8998, 65.5268, -37.6336, 66.2449 https://cmr.earthdata.nasa.gov/search/concepts/C2089380760-NOAA_NCEI.umm_json These data records are time series of (1) round trip surface to bottom acoustic travel time, (2) bottom pressure and (3) bottom temperature (with the latter internal to the instrument). The first goal in collecting these data was to develop and test non-traditional methods to measure the time-varying â¨heat content and vertical temperature profiles in high-latitude seas, shelves, and fjords using pressure-sensor-equipped inverted echo sounders (PIESs). The second goal was to use PIESs to measure icebergs and sea ice. We developed these methods with data collected in Sermilik Fjord in southeastern Greenland from a 1-year pilot deployment with 1 PIES (deployed mid fjord from 2011 to 2012) and data collected in a full deployment with 3 PIESs (deployed on the shelf by the fjord mouth, mid-fjord and in the upper fjord from 2013-2015/2016). The data format is NetCDF with CF-1.6 conventions. proprietary
+gov.noaa.nodc:0163212_Not Applicable Acoustic Travel Time and Hydrostatic Pressure in Sermilik Fjord in Southeastern Greenland from 2011-08-23 to 2016-08-11 (NCEI Accession 0163212) ALL STAC Catalog 2011-08-23 2016-08-11 -37.8998, 65.5268, -37.6336, 66.2449 https://cmr.earthdata.nasa.gov/search/concepts/C2089380760-NOAA_NCEI.umm_json These data records are time series of (1) round trip surface to bottom acoustic travel time, (2) bottom pressure and (3) bottom temperature (with the latter internal to the instrument). The first goal in collecting these data was to develop and test non-traditional methods to measure the time-varying â¨heat content and vertical temperature profiles in high-latitude seas, shelves, and fjords using pressure-sensor-equipped inverted echo sounders (PIESs). The second goal was to use PIESs to measure icebergs and sea ice. We developed these methods with data collected in Sermilik Fjord in southeastern Greenland from a 1-year pilot deployment with 1 PIES (deployed mid fjord from 2011 to 2012) and data collected in a full deployment with 3 PIESs (deployed on the shelf by the fjord mouth, mid-fjord and in the upper fjord from 2013-2015/2016). The data format is NetCDF with CF-1.6 conventions. proprietary
gov.noaa.nodc:0163750_Not Applicable Biological, chemical and other data collected from station Humboldt Bay Pier by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2012-12-13 to 2018-03-07 (NCEI Accession 0163750) NOAA_NCEI STAC Catalog 2012-12-13 2018-03-07 -124.19652, 40.7775, -124.19652, 40.7775 https://cmr.earthdata.nasa.gov/search/concepts/C2089376545-NOAA_NCEI.umm_json NCEI Accession 0163750 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Humboldt Bay Pier in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary
gov.noaa.nodc:0163764_Not Applicable Biological, chemical and other data collected from station Indian River Lagoon - Link Port (IRL-LP) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-01 (NCEI Accession 0163764) NOAA_NCEI STAC Catalog 2015-10-07 2020-06-01 -80.34311, 27.53483, -80.34311, 27.53483 https://cmr.earthdata.nasa.gov/search/concepts/C2089376573-NOAA_NCEI.umm_json NCEI Accession 0163764 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Link Port (IRL-LP) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary
gov.noaa.nodc:0164194_Not Applicable Biogeochemical and microbiological variables measured by CTD and Niskin bottles from the Hermano Gines in the Caribbean Sea for the CARIACO Ocean Time-Series Program from 1995-11-13 to 2015-11-14 (NCEI Accession 0164194) NOAA_NCEI STAC Catalog 1995-11-13 2015-11-14 -65.587, 10.45, -64.54, 10.716 https://cmr.earthdata.nasa.gov/search/concepts/C2089377236-NOAA_NCEI.umm_json The goal of this project was to examine the interrelationship between microbial activity and water column geochemistry in the worldâs largest, truly marine anoxic system, the Cariaco Basin. This project focused on microbial cycling of carbon, sulfur, and nitrogen occurring at depths where waters transition from oxic to anoxic to sulfidic. Over the 21 year program, the Stony Brook team typically staged cruises semi-annually during upwelling (Mar-May) and non- upwelling (Oct-Nov) periods. These 24-hour cruises were usually within a week of the routine monthly cruises staged by the Fundacion La Salle and University of South Florida team. Most cruises occupied only the CARIACO Ocean Time-Series station. On cruises 108 to 132, additional stations in the western basin and on the sill to the north of the Cariaco station were also sampled. Locations are given in the database. Data provided in a single MS Excel spreadsheet. proprietary
@@ -18726,8 +18728,8 @@ gov.noaa.nodc:0171345_Not Applicable Chemical, meteorological and other data col
gov.noaa.nodc:0171346_Not Applicable Chemical, meteorological and other data collected from station Dry Bar, Apalachicola Bay, by Florida Department of Environmental Protection and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and Gulf of Mexico from 2015-12-01 to 2018-10-10 (NCEI Accession 0171346) NOAA_NCEI STAC Catalog 2015-12-01 2018-10-10 -85.05807, 29.67431, -85.05807, 29.67431 https://cmr.earthdata.nasa.gov/search/concepts/C2089377641-NOAA_NCEI.umm_json NCEI Accession 0171346 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Department of Environmental Protection collected the data from their in-situ moored station named Dry Bar, Apalachicola Bay, in the Coastal Waters of Florida and Gulf of Mexico. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Department of Environmental Protection and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary
gov.noaa.nodc:0172043_Not Applicable ADCP, CTD, and continuous data from the Multiple Instrument Data Acquisition System (MIDAS) collected in the Southeast of the Mississippi River Delta aboard the R/V Pelican from 2012-11-28 to 2012-12-19 (NCEI Accession 0172043) NOAA_NCEI STAC Catalog 2012-11-28 2012-12-19 -94.0863, 25.7961, -87.2228, 28.9733 https://cmr.earthdata.nasa.gov/search/concepts/C2089377986-NOAA_NCEI.umm_json This dataset contains shipboard Acoustic Doppler Current Profiles (ADCP) data from a 75khz profiler, vertical profiles of measurements made from a CTD/Rosette system and continuous data from the Multiple Instrument Data Acquisition System (MIDAS). These ancillary data gives additional information about the physical state of the ocean during the Gulf of Mexico Integrated Spill Response Consortium (GISR) G03 cruise aboard R/V Pelican held from November 28 to December 20, 2012. proprietary
gov.noaa.nodc:0172043_Not Applicable ADCP, CTD, and continuous data from the Multiple Instrument Data Acquisition System (MIDAS) collected in the Southeast of the Mississippi River Delta aboard the R/V Pelican from 2012-11-28 to 2012-12-19 (NCEI Accession 0172043) ALL STAC Catalog 2012-11-28 2012-12-19 -94.0863, 25.7961, -87.2228, 28.9733 https://cmr.earthdata.nasa.gov/search/concepts/C2089377986-NOAA_NCEI.umm_json This dataset contains shipboard Acoustic Doppler Current Profiles (ADCP) data from a 75khz profiler, vertical profiles of measurements made from a CTD/Rosette system and continuous data from the Multiple Instrument Data Acquisition System (MIDAS). These ancillary data gives additional information about the physical state of the ocean during the Gulf of Mexico Integrated Spill Response Consortium (GISR) G03 cruise aboard R/V Pelican held from November 28 to December 20, 2012. proprietary
-gov.noaa.nodc:0172377_Not Applicable Abundance and biomass of parrotfishes (Labridae, Scarinae) in St.Croix, U.S. Virgin Islands 2015 to 2016 (NCEI Accession 0172377) ALL STAC Catalog 2015-07-21 2016-08-05 -64.9199, 17.63764, -64.47889, 17.82709 https://cmr.earthdata.nasa.gov/search/concepts/C2089378141-NOAA_NCEI.umm_json We collected data on parrotfish abundance, biomass, size structure, and species composition at several sites on the N shore of St. Croix during July and August 2015 and 2016. Surveys were conducted using a method that allowed divers to rapidly survey large areas and quantify habitat assocations of different species. Researchers conducted 20-30 min timed swims towing a float with a GPS receiver, which allowed for the calculation of distance traveled during a swim and therefore the total area sampled. During the timed swim survey, the diver estimated and recorded the size to the nearest cm of all parrotfishes that were at least 10 cm in length that were encountered in a 5-m-wide swath. Because these swims often crossed multiple habitats, the diver recorded the habitat each minute. For each site, the total area of each habitat sampled was then calculated in order to determine habitat- and site-specific densities of each parrotfish species. proprietary
gov.noaa.nodc:0172377_Not Applicable Abundance and biomass of parrotfishes (Labridae, Scarinae) in St.Croix, U.S. Virgin Islands 2015 to 2016 (NCEI Accession 0172377) NOAA_NCEI STAC Catalog 2015-07-21 2016-08-05 -64.9199, 17.63764, -64.47889, 17.82709 https://cmr.earthdata.nasa.gov/search/concepts/C2089378141-NOAA_NCEI.umm_json We collected data on parrotfish abundance, biomass, size structure, and species composition at several sites on the N shore of St. Croix during July and August 2015 and 2016. Surveys were conducted using a method that allowed divers to rapidly survey large areas and quantify habitat assocations of different species. Researchers conducted 20-30 min timed swims towing a float with a GPS receiver, which allowed for the calculation of distance traveled during a swim and therefore the total area sampled. During the timed swim survey, the diver estimated and recorded the size to the nearest cm of all parrotfishes that were at least 10 cm in length that were encountered in a 5-m-wide swath. Because these swims often crossed multiple habitats, the diver recorded the habitat each minute. For each site, the total area of each habitat sampled was then calculated in order to determine habitat- and site-specific densities of each parrotfish species. proprietary
+gov.noaa.nodc:0172377_Not Applicable Abundance and biomass of parrotfishes (Labridae, Scarinae) in St.Croix, U.S. Virgin Islands 2015 to 2016 (NCEI Accession 0172377) ALL STAC Catalog 2015-07-21 2016-08-05 -64.9199, 17.63764, -64.47889, 17.82709 https://cmr.earthdata.nasa.gov/search/concepts/C2089378141-NOAA_NCEI.umm_json We collected data on parrotfish abundance, biomass, size structure, and species composition at several sites on the N shore of St. Croix during July and August 2015 and 2016. Surveys were conducted using a method that allowed divers to rapidly survey large areas and quantify habitat assocations of different species. Researchers conducted 20-30 min timed swims towing a float with a GPS receiver, which allowed for the calculation of distance traveled during a swim and therefore the total area sampled. During the timed swim survey, the diver estimated and recorded the size to the nearest cm of all parrotfishes that were at least 10 cm in length that were encountered in a 5-m-wide swath. Because these swims often crossed multiple habitats, the diver recorded the habitat each minute. For each site, the total area of each habitat sampled was then calculated in order to determine habitat- and site-specific densities of each parrotfish species. proprietary
gov.noaa.nodc:0172588_Not Applicable Biological, chemical, and other data collected from station Humboldt Bay Pier by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2012-12-13 to 2021-06-09 (NCEI Accession 0172588) NOAA_NCEI STAC Catalog 2012-12-13 2021-06-09 -124.19652, 40.7775, -124.19652, 40.7775 https://cmr.earthdata.nasa.gov/search/concepts/C2089378189-NOAA_NCEI.umm_json NCEI Accession 0172588 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Humboldt Bay Pier in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary
gov.noaa.nodc:0172612_Not Applicable Biological, chemical and other data collected from station Monterey Bay Commercial Wharf by Moss Landing Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2015-05-05 to 2020-01-03 (NCEI Accession 0172612) NOAA_NCEI STAC Catalog 2015-05-05 2020-01-03 -121.88935, 36.60513, -121.88935, 36.60513 https://cmr.earthdata.nasa.gov/search/concepts/C2089378278-NOAA_NCEI.umm_json NCEI Accession 0172612 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Moss Landing Marine Laboratory collected the data from their in-situ moored station named Monterey Bay Commercial Wharf in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Moss Landing Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary
gov.noaa.nodc:0172613_Not Applicable Biological, chemical and other data collected from station Indian Island by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2016-04-05 to 2019-10-28 (NCEI Accession 0172613) NOAA_NCEI STAC Catalog 2016-04-05 2019-10-28 -124.15754, 40.81503, -124.15754, 40.81503 https://cmr.earthdata.nasa.gov/search/concepts/C2089378289-NOAA_NCEI.umm_json NCEI Accession 0172613 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Indian Island in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary
@@ -18737,8 +18739,8 @@ gov.noaa.nodc:0175745_Not Applicable Acoustic travel time and bottom pressure da
gov.noaa.nodc:0175745_Not Applicable Acoustic travel time and bottom pressure data from inverted echo sounders as part of the Southwest Atlantic Meridional Overturning Circulation project (SAM) from 2011-07-07 to 2016-10-29 (NCEI Accession 0175745) ALL STAC Catalog 2011-07-07 2016-10-29 -51.5, -34.503, -44.5, -34.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089380684-NOAA_NCEI.umm_json "This dataset contains round trip acoustic travel time and abmient bottom pressure from bottom-mounted instruments spaced zonally along 34.5S in the SW Atlantic east of Uruguay July 2011 to October 2016. The data were collected for the Southwest Atlantic meridional overturning circulation (""SAM"") project by the NOAA-Atlantic Oceanographic and Meteorological Laboratory. Both the processed/quality-controlled and the raw data files are available. Format is text." proprietary
gov.noaa.nodc:0175783_Not Applicable Agulhas Current transport derived from satellite altimetry observations in Indian Ocean from 1992-10-14 to 2016-12-28 (NCEI Accession 0175783) NOAA_NCEI STAC Catalog 1992-10-14 2016-12-28 27, -40, 30, -34 https://cmr.earthdata.nasa.gov/search/concepts/C2089380711-NOAA_NCEI.umm_json The Agulhas Current is the western boundary current closing the upper-limb of the Indian Ocean subtropical gyre, and is largely linked with the transfer of warm water from the Indian Ocean to the South Atlantic subtropical gyre. This interbasin water exchange takes place mostly through mesoscale processes that occur when the Agulhas Current retroflects south of Africa between 15°E and 25°E. Estimates of the Agulhas Current are carried out by NOAA/AOML using satellite altimetry as the main dataset, and hydrographic observations. For more information, please visit: http://www.aoml.noaa.gov/phod/indexes/index.php proprietary
gov.noaa.nodc:0175783_Not Applicable Agulhas Current transport derived from satellite altimetry observations in Indian Ocean from 1992-10-14 to 2016-12-28 (NCEI Accession 0175783) ALL STAC Catalog 1992-10-14 2016-12-28 27, -40, 30, -34 https://cmr.earthdata.nasa.gov/search/concepts/C2089380711-NOAA_NCEI.umm_json The Agulhas Current is the western boundary current closing the upper-limb of the Indian Ocean subtropical gyre, and is largely linked with the transfer of warm water from the Indian Ocean to the South Atlantic subtropical gyre. This interbasin water exchange takes place mostly through mesoscale processes that occur when the Agulhas Current retroflects south of Africa between 15°E and 25°E. Estimates of the Agulhas Current are carried out by NOAA/AOML using satellite altimetry as the main dataset, and hydrographic observations. For more information, please visit: http://www.aoml.noaa.gov/phod/indexes/index.php proprietary
-gov.noaa.nodc:0175786_Not Applicable Abundance and Distribution of Commercially Important Estuarine Dependent Species Populations within the Gulf of Mexico from 1986-04-01 to 2017-06-27 (NCEI Accession 0175786) NOAA_NCEI STAC Catalog 1986-04-01 2017-06-27 -89.85889, 29.8917, -87.6955, 30.68067 https://cmr.earthdata.nasa.gov/search/concepts/C2089380737-NOAA_NCEI.umm_json This dataset contains records of Gulf of Mexico (GOM) blue crab (Callinectes sapidus), white shrimp (Litopenaeus setiferus), brown shrimp (Farfantepenaeus aztecus), and fishes which can be used to quantify their population abundances and distributions. The data set contains existing data as a baseline and supplemental data from continued sampling. It contains records of early life stage blue crab, white shrimp, brown shrimp, and fishes (measurements and counts) from beach seine and trawl samples across the north GOM in the central Gulf States that were collected using standardized sampling methods. Data also include habitat assessments such as descriptions, georeferencing information, and abiotic factors (DO, salinity, temperature). proprietary
gov.noaa.nodc:0175786_Not Applicable Abundance and Distribution of Commercially Important Estuarine Dependent Species Populations within the Gulf of Mexico from 1986-04-01 to 2017-06-27 (NCEI Accession 0175786) ALL STAC Catalog 1986-04-01 2017-06-27 -89.85889, 29.8917, -87.6955, 30.68067 https://cmr.earthdata.nasa.gov/search/concepts/C2089380737-NOAA_NCEI.umm_json This dataset contains records of Gulf of Mexico (GOM) blue crab (Callinectes sapidus), white shrimp (Litopenaeus setiferus), brown shrimp (Farfantepenaeus aztecus), and fishes which can be used to quantify their population abundances and distributions. The data set contains existing data as a baseline and supplemental data from continued sampling. It contains records of early life stage blue crab, white shrimp, brown shrimp, and fishes (measurements and counts) from beach seine and trawl samples across the north GOM in the central Gulf States that were collected using standardized sampling methods. Data also include habitat assessments such as descriptions, georeferencing information, and abiotic factors (DO, salinity, temperature). proprietary
+gov.noaa.nodc:0175786_Not Applicable Abundance and Distribution of Commercially Important Estuarine Dependent Species Populations within the Gulf of Mexico from 1986-04-01 to 2017-06-27 (NCEI Accession 0175786) NOAA_NCEI STAC Catalog 1986-04-01 2017-06-27 -89.85889, 29.8917, -87.6955, 30.68067 https://cmr.earthdata.nasa.gov/search/concepts/C2089380737-NOAA_NCEI.umm_json This dataset contains records of Gulf of Mexico (GOM) blue crab (Callinectes sapidus), white shrimp (Litopenaeus setiferus), brown shrimp (Farfantepenaeus aztecus), and fishes which can be used to quantify their population abundances and distributions. The data set contains existing data as a baseline and supplemental data from continued sampling. It contains records of early life stage blue crab, white shrimp, brown shrimp, and fishes (measurements and counts) from beach seine and trawl samples across the north GOM in the central Gulf States that were collected using standardized sampling methods. Data also include habitat assessments such as descriptions, georeferencing information, and abiotic factors (DO, salinity, temperature). proprietary
gov.noaa.nodc:0176496_Not Applicable Biological Baseline Studies of Mobile Bay (MESC-CAB 1980-1981): Hydrography, Sediments, Benthic Fauna, Pelagic Fauna, Phytoplankton, and Zooplankton (NCEI Accession 0176496) NOAA_NCEI STAC Catalog 1980-04-03 1981-08-26 -88.17333, 30.23833, -87.85167, 30.61333 https://cmr.earthdata.nasa.gov/search/concepts/C2089376767-NOAA_NCEI.umm_json Data from a monthly survey of Mobile Bay between April 1980 and August 1981. Extant data from the MESC Data Management System include sediment particle size distribution, discrete hydrography, identification and enumeration of benthic fauna, and identification and enumeration of water column biota. proprietary
gov.noaa.nodc:0185741_Not Applicable Carbonate Chemistry Dynamics on Southeast Florida coral reefs from 2014-05-27 to 2015-09-03 (NCEI Accession 0185741) NOAA_NCEI STAC Catalog 2014-05-27 2015-09-03 -80.132778, 25.6519, -80.076975, 26.1636 https://cmr.earthdata.nasa.gov/search/concepts/C2089379082-NOAA_NCEI.umm_json These data are from the article âSeasonal carbonate chemistry dynamics on southeast Florida coral reefs: localized acidification hotspots from navigational inletsâ published in Frontiers in Marine Science. The data in this package were collected from inlets and reefs along the coast of Southeast Florida. Water was collected bi-monthly from four reefs (Oakland Ridge, Barracuda, Pillars, and Emerald) and three closely-associated inlets (Port Everglades, Bakers Haulover, and Port of Miami). Water samples were collected at these locations either at the surface (~1m depth) or immediately above the benthos measured using a rosette sampler (ECO 55, Seabird). Temperature was recorded at each depth using a CTD (SBE 19V2, Seabird). Turbidity (NTU) was measured at time of water collection. Once collected, water samples were transferred to borosilicate glass bottles, samples were fixed using 200 µL of HgCl2 and sealed using Apiezon grease and a glass stopper. Salinity was measured using a densitometer (DMA 5000M, Anton Paar), while total alkalinity (TA) and dissolved inorganic carbon (DIC) were determined using Apollo SciTech instruments (AS-ALK2 and AS-C3, respectively). All values were measured in duplicate and corrected using certified reference materials following recommendations in Dickson et al. (2007). Aragonite saturation state (ΩArag.), Calcite saturation state (ΩCa), pH (Total scale), and the partial pressure of CO2 (pCO2) were calculated with CO2SYS (Lewis and Wallace, 1998) using the dissociation constants of Mehrbach et al. (1973) as refit by Dickson and Millero (1987) and Dickson (1990). Water samples were reserved for nutrient analyzed at time of collection to determine Total Kjeldahl Nitrogen, Total Phosphorous, and fluorescence of Chlorophyll-a. This research was supported through NOAAâs Coral Reef Conservation Program. proprietary
gov.noaa.nodc:0185742_Not Applicable Climatology for NOAA Coral Reef Watch (CRW) Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite Version 3.1 for 1985-01-01 to 2012-12-31 (NCEI Accession 0185742) NOAA_NCEI STAC Catalog 1985-01-01 2012-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089379091-NOAA_NCEI.umm_json This package contains a set of 12 monthly mean (MM) climatologies, one for each calendar month, and the maximum monthly mean (MMM) climatology. Each climatology has global coverage at 0.05-degree (5km) spatial resolution. The climatologies were derived from NOAA Coral Reef Watch's (CRW) CoralTemp Version 1.0 product and are based on the 1985-2012 time period of the CoralTemp data. They are used in deriving CRW's Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite Version 3.1. MMs are used to derive the SST Anomaly product, and the MMM is used to derive CRW's Coral Bleaching HotSpot, Degree Heating Week, and Bleaching Alert Area products. proprietary
@@ -18747,8 +18749,8 @@ gov.noaa.nodc:0185753_Not Applicable Abundance, biomass, and density of benthic
gov.noaa.nodc:0186561_Not Applicable 2003 Marine Fisheries Initiative (MARFIN) Gulf of Mexico and South Atlantic angler survey (NCEI Accession 0186561) ALL STAC Catalog 2003-01-01 2003-12-31 -98, 25, -80, 31 https://cmr.earthdata.nasa.gov/search/concepts/C2089380124-NOAA_NCEI.umm_json This Archival Information Package (AIP) contains information, angler experiences, and preferences for recreational fishing in the Gulf of Mexico and South Atlantic. Data were collected by the NMFS Southeast Fisheries Science Center; Miami, FL. Data are in comma separated value (CSV) format and include recreational angler information such as age, gender, income, and target fish. proprietary
gov.noaa.nodc:0186561_Not Applicable 2003 Marine Fisheries Initiative (MARFIN) Gulf of Mexico and South Atlantic angler survey (NCEI Accession 0186561) NOAA_NCEI STAC Catalog 2003-01-01 2003-12-31 -98, 25, -80, 31 https://cmr.earthdata.nasa.gov/search/concepts/C2089380124-NOAA_NCEI.umm_json This Archival Information Package (AIP) contains information, angler experiences, and preferences for recreational fishing in the Gulf of Mexico and South Atlantic. Data were collected by the NMFS Southeast Fisheries Science Center; Miami, FL. Data are in comma separated value (CSV) format and include recreational angler information such as age, gender, income, and target fish. proprietary
gov.noaa.nodc:0191401_Not Applicable Biogeochemical and microbiological measurements in the Cariaco Basin, a truly marine anoxic system in the southeastern Caribbean Sea, from 1995-11-13 to 2015-11-14 by the CARIACO Ocean Time Series Program (formerly known as CArbon Retention In A Colored Ocean) aboard the B/O Hermano Gines (NCEI Accession 0191401) NOAA_NCEI STAC Catalog 1995-11-13 2015-11-14 -64.66, 10.5, -64.66, 10.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089377738-NOAA_NCEI.umm_json Biogeochemical and microbiological variables were measured by Stony Brook University participants (see Author List) in the CARIACO Ocean Time-Series Program in order to study the microbial cycling of carbon, sulfur, and nitrogen occurring at depths where waters transition from oxic to anoxic to sulfidic. Samples were collected by Nikson bottles from 1995-11-13 to 2015-11-14 in the Cariaco Basin (southeastern Caribbean Sea off northeastern Venezuelan coast) aboard the B/O Hermano Gines, operated by the Fundacion La Salle, Venezuela. proprietary
-gov.noaa.nodc:0194300_Not Applicable ADCP, CTD, water and sediment chemistry, and underway sensor data collected aboard R/V Endeavor cruise EN505 in the Gulf of Mexico from 2012-04-11 to 2012-04-24 (NCEI Accession 0194300) ALL STAC Catalog 2012-04-11 2012-04-24 -90.5895, 27.2111, -87.42629, 30.35717 https://cmr.earthdata.nasa.gov/search/concepts/C2089378330-NOAA_NCEI.umm_json This dataset contains ADCP, CTD, water and sediment chemistry, and other underway sensor data collected aboard R/V Endeavor cruise EN505 in the Gulf of Mexico from 2012-04-11 to 2012-04-24. The CTD profiles were done at 4 locations using Sea-Bird SBE 911plus from 2012-04-11 to 2012-04-14 and include seawater conductivity, temperature, pressure, salinity, density, oxygen concentration, sound velocity, dissolved oxygen, beam attenuation, light transmission, fluorescence, surface irradiance, and depth parameters. The current velocity data was measured by a hull-mounted mounted Acoustic Doppler Current Profiler (ADCP) and other underway sensor data was measured with a Sea-Bird SBE 21 (tsg), Sea-Bird SBE 45 (tsg) and underway sensors/navigational instruments. All data records include sampling time (UTC), position (Latitude, Longitude) and water depth. In addition, the dataset also includes the water column and sediment chemistry data and the measurements include the concentration of dissolved nutrients, dissolved gases, total particulate nitrogen (TPN), total particulate carbon (TPN), particulate organic carbon (POC), and particulate inorganic carbon acquired from 8 CTD casts and 6 multiple corer drops. The objective of this cruise was to study the impact of the Deepwater Horizon (DWH) blowout on the water column and benthic communities of the Gulf of Mexico and compare these impacts to naturally occurring oil and gas seeps. These data are also available at Rolling Deck to Repository (R2R) under cruise https://doi.org/10.7284/902570. proprietary
gov.noaa.nodc:0194300_Not Applicable ADCP, CTD, water and sediment chemistry, and underway sensor data collected aboard R/V Endeavor cruise EN505 in the Gulf of Mexico from 2012-04-11 to 2012-04-24 (NCEI Accession 0194300) NOAA_NCEI STAC Catalog 2012-04-11 2012-04-24 -90.5895, 27.2111, -87.42629, 30.35717 https://cmr.earthdata.nasa.gov/search/concepts/C2089378330-NOAA_NCEI.umm_json This dataset contains ADCP, CTD, water and sediment chemistry, and other underway sensor data collected aboard R/V Endeavor cruise EN505 in the Gulf of Mexico from 2012-04-11 to 2012-04-24. The CTD profiles were done at 4 locations using Sea-Bird SBE 911plus from 2012-04-11 to 2012-04-14 and include seawater conductivity, temperature, pressure, salinity, density, oxygen concentration, sound velocity, dissolved oxygen, beam attenuation, light transmission, fluorescence, surface irradiance, and depth parameters. The current velocity data was measured by a hull-mounted mounted Acoustic Doppler Current Profiler (ADCP) and other underway sensor data was measured with a Sea-Bird SBE 21 (tsg), Sea-Bird SBE 45 (tsg) and underway sensors/navigational instruments. All data records include sampling time (UTC), position (Latitude, Longitude) and water depth. In addition, the dataset also includes the water column and sediment chemistry data and the measurements include the concentration of dissolved nutrients, dissolved gases, total particulate nitrogen (TPN), total particulate carbon (TPN), particulate organic carbon (POC), and particulate inorganic carbon acquired from 8 CTD casts and 6 multiple corer drops. The objective of this cruise was to study the impact of the Deepwater Horizon (DWH) blowout on the water column and benthic communities of the Gulf of Mexico and compare these impacts to naturally occurring oil and gas seeps. These data are also available at Rolling Deck to Repository (R2R) under cruise https://doi.org/10.7284/902570. proprietary
+gov.noaa.nodc:0194300_Not Applicable ADCP, CTD, water and sediment chemistry, and underway sensor data collected aboard R/V Endeavor cruise EN505 in the Gulf of Mexico from 2012-04-11 to 2012-04-24 (NCEI Accession 0194300) ALL STAC Catalog 2012-04-11 2012-04-24 -90.5895, 27.2111, -87.42629, 30.35717 https://cmr.earthdata.nasa.gov/search/concepts/C2089378330-NOAA_NCEI.umm_json This dataset contains ADCP, CTD, water and sediment chemistry, and other underway sensor data collected aboard R/V Endeavor cruise EN505 in the Gulf of Mexico from 2012-04-11 to 2012-04-24. The CTD profiles were done at 4 locations using Sea-Bird SBE 911plus from 2012-04-11 to 2012-04-14 and include seawater conductivity, temperature, pressure, salinity, density, oxygen concentration, sound velocity, dissolved oxygen, beam attenuation, light transmission, fluorescence, surface irradiance, and depth parameters. The current velocity data was measured by a hull-mounted mounted Acoustic Doppler Current Profiler (ADCP) and other underway sensor data was measured with a Sea-Bird SBE 21 (tsg), Sea-Bird SBE 45 (tsg) and underway sensors/navigational instruments. All data records include sampling time (UTC), position (Latitude, Longitude) and water depth. In addition, the dataset also includes the water column and sediment chemistry data and the measurements include the concentration of dissolved nutrients, dissolved gases, total particulate nitrogen (TPN), total particulate carbon (TPN), particulate organic carbon (POC), and particulate inorganic carbon acquired from 8 CTD casts and 6 multiple corer drops. The objective of this cruise was to study the impact of the Deepwater Horizon (DWH) blowout on the water column and benthic communities of the Gulf of Mexico and compare these impacts to naturally occurring oil and gas seeps. These data are also available at Rolling Deck to Repository (R2R) under cruise https://doi.org/10.7284/902570. proprietary
gov.noaa.nodc:0204167_Not Applicable Cetacean digital photography and aerial observer data collected by an unmanned aerial vehicle and manned aerial vehicle in the Beaufort Sea for the Arctic Aerial Calibration Experiments (ACEs) from 2015-08-26 to 2015-09-07 (NCEI Accession 0204167) NOAA_NCEI STAC Catalog 2015-08-26 2015-09-07 -159.3, 71, -153.1, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2089379246-NOAA_NCEI.umm_json This dataset includes two comma separated files containing data and metadata from three cetacean observation methods from two platforms, the manned Turbo Commander aircraft and the unmanned ScanEagle. The ACEs' imagery described here was collected and analyzed in order to conduct a 3-way comparison of data and derived statistics from the following: Observers in the manned aircraft; Digital photographs from cameras mounted to the manned aircraft; Digital photographs from cameras mounted to the Unmanned Aerial Vehicle (UAV). The Arctic Aerial Calibration Experiments (ACEs) study was designed to evaluate the ability of UAS technology (i.e., airframe, payloads, sensors, and software) to detect cetaceans, identify individuals to species, estimate group size, identify calves, and estimate density in arctic waters, relative to conventional aerial surveys conducted by human observers in fixed wing aircraft and to photographic strip transect data collected from the manned aircraft. proprietary
gov.noaa.nodc:0204646_Not Applicable Benthic cover from automated annotation of benthic images collected at coral reef sites in the Pacific Remote Island Areas and American Samoa from 2018-06-08 to 2018-08-11 (NCEI Accession 0204646) NOAA_NCEI STAC Catalog 2018-06-08 2018-08-11 -176.626077, -14.558022, -159.971695, 6.451465 https://cmr.earthdata.nasa.gov/search/concepts/C2089379357-NOAA_NCEI.umm_json "The coral reef benthic community data described here result from the automated annotation (classification) of benthic images collected during photoquadrat surveys conducted by the NOAA Pacific Islands Fisheries Science Center (PIFSC), Ecosystem Sciences Division (ESD, formerly the Coral Reef Ecosystem Division) as part of NOAA's ongoing National Coral Reef Monitoring Program (NCRMP). SCUBA divers conducted benthic photoquadrat surveys in coral reef habitats according to protocols established by ESD and NCRMP during the ESD-led NCRMP mission to the islands and atolls of the Pacific Remote Island Areas (PRIA) and American Samoa from June 8 to August 11, 2018. Still photographs were collected with a high-resolution digital camera mounted on a pole to document the benthic community composition at predetermined points along transects at stratified random sites surveyed only once as part of Rapid Ecological Assessment (REA) surveys for corals and fish (Ayotte et al. 2015; Swanson et al. 2018) and permanent sites established by ESD and resurveyed every ~3 years for climate change monitoring. Overall, 30 photoquadrat images were collected at each survey site. The benthic habitat images were quantitatively analyzed using the web-based, machine-learning, image annotation tool, CoralNet (https://coralnet.ucsd.edu; Beijbom et al. 2015; Williams et al. 2019). Ten points were randomly overlaid on each image and the machine-learning algorithm ""robot"" identified the organism or type of substrate beneath, with 300 annotations (points) generated per site. Benthic elements falling under each point were identified to functional group (Tier 1: hard coral, soft coral, sessile invertebrate, macroalgae, crustose coralline algae, and turf algae) for coral, algae, invertebrates, and other taxa following Lozada-Misa et al. (2017). These benthic data can ultimately be used to produce estimates of community composition, relative abundance (percentage of benthic cover), and frequency of occurrence." proprietary
gov.noaa.nodc:0205786_Not Applicable Assessment of heat stress exposure in the wider Caribbean coral reefs through the regional delineation of degree heating week data from 1985-01-01 to 2017-12-31 (NCEI Accession 0205786) NOAA_NCEI STAC Catalog 1985-01-01 2017-12-31 -97, 8.35, -59.2, 32.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089380033-NOAA_NCEI.umm_json "This data package presents a three-decade (1985-2017) assessment of heat stress exposure in the wider Caribbean coral reefs at the ecoregional and local scales. The main heat stress indicator used was the Degree Heating Weeks (DHW) calculated from daily Sea Surface Temperature ""CoralTemp"" data from CRW-NOAA available from 1985 to the present and from the maximum monthly mean (MMM) version 3.1 at 5 km of the CRW-NOAA program. Different metrics were calculated based on daily DHW and are available in this dataset: a) the maximum value of DHW per pixel for the entire time series b) the frequency of the annual maximum values of DHW ⥠4 °C- weeks (a predictor of coral ""bleaching risk"") per pixel c) the frequency of the annual maximum values of DHW ⥠8 °C- weeks (a predictor of bleach-induced mortality or ""mortality risk"") per pixel d) the year in which the maximum of DHW occurred e) the trend of the annual maximum values of DHW per pixel. Based on the spatiotemporal annual maximum DHW, a new regionalization of heat stress was performed by cluster analysis with the K-means algorithm through the unsupervised classification, this new regionalization delimits the Caribbean in 8 Heat Stress Regions (HSR). We summarized spatiotemporal daily data to describe the temporal patterns at an ecoregional scale by calculating the descriptive statistics of the regional DHW on a given day. This dataset represents a new baseline and regionalization of heat stress in the wider Caribbean coral reefs that will enhance conservation and planning efforts underway." proprietary
@@ -18762,13 +18764,13 @@ gov.noaa.nodc:0209071_Not Applicable ADCP velocity, echo intensity, and compass
gov.noaa.nodc:0209071_Not Applicable ADCP velocity, echo intensity, and compass heading from two near-bottom moorings in the south equatorial Atlantic Ocean from 2009-12-01 to 2010-03-23 (NCEI Accession 0209071) ALL STAC Catalog 2009-12-01 2010-03-23 11.2067, -5.8778, 11.2067, -5.8778 https://cmr.earthdata.nasa.gov/search/concepts/C2089378065-NOAA_NCEI.umm_json This dataset contains ADCP velocity, echo intensity, and compass heading from two near-bottom moorings in the south equatorial Atlantic Ocean in the Congo submarine canyon during ~3 month period from 2009-12-01 to 2010-03-23. Two ADCPs with acoustic frequencies of 300 kHz and 75 kHz were deployed on separate moorings placed in the channel axis 700 m apart and at ~2000 m water depth. They acquired data over a range of ~80 m above the seafloor (300 kHz) and 220 m above the seafloor (75 kHz). Data are in netcdf. proprietary
gov.noaa.nodc:0209115_Not Applicable Aragonite Saturation State in Deep Sea Coral Habitats collected from NOAA Ship Nancy Foster in Gulf of Mexico from 2017-08-14 to 2017-08-30 (NCEI Accession 0209115) NOAA_NCEI STAC Catalog 2017-08-14 2017-08-30 -84.90713, 25.66118, -80.02228, 29.18645 https://cmr.earthdata.nasa.gov/search/concepts/C2089378161-NOAA_NCEI.umm_json The dataset contains 17 depth profiles from 20-1000 m depth on the West Florida Shelf. Parameters include aragonite saturation state, total alkalinity, DIC, temperature and salinity. The data were collected using a CTD rosette aboard a NOAA-led research expedition in August 2017 entitled âSoutheast Deep Coral Initiative: Exploring Deep-Sea Corals Ecosystems of the Southeast USâ. The NOAA-led survey explored deep-sea coral habitat along West Florida shelf, using the remotely operated vehicle (ROV) Odysseus aboard NOAA Ship Nancy Foster. The cruise report for the expedition is hosted online here: https://doi.org/10.7289/V5/TM-NOS-NCCOS-244 (Wagner et al 2018). proprietary
gov.noaa.nodc:0209162_Not Applicable Biological, chemical, physical and time series data collected from station WQB-05 by University of Hawai'i at Hilo and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2018-03-10 to 2020-12-31 (NCEI Accession 0209162) NOAA_NCEI STAC Catalog 2018-03-10 2020-12-31 -155.8285, 20.02415, -155.8285, 20.02415 https://cmr.earthdata.nasa.gov/search/concepts/C2089378336-NOAA_NCEI.umm_json NCEI Accession 0209162 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo collected the data from their in-situ moored station named WQB-05: PacIOOS Water Quality Buoy 05: Pelekane Bay, Big Island, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-05 is located in Pelekane Bay near Kawaihae Harbor on the west side of the Big Island. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill. proprietary
-gov.noaa.nodc:0209222_Not Applicable Abundance, biomass, and density of benthic macroinvertebrates collected from R/V Lake Guardian in Lake Michigan, Great Lakes from 2015-07-20 to 2015-07-29 (NCEI Accession 0209222) ALL STAC Catalog 2015-07-20 2015-07-29 -88.1, 41.6, -84.75, 46.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089378673-NOAA_NCEI.umm_json Raw data from the benthic macroinvertebrate lake wide surveys conducted in Lake Michigan in 2015. These basic benthic survey data provide the number of each taxon in each replicate sample (abundance), density, and biomass. Similar lake wide surveys were conducted to assess the status of benthic taxa beginning in 1994/1995 and repeated every five years through 2015. proprietary
gov.noaa.nodc:0209222_Not Applicable Abundance, biomass, and density of benthic macroinvertebrates collected from R/V Lake Guardian in Lake Michigan, Great Lakes from 2015-07-20 to 2015-07-29 (NCEI Accession 0209222) NOAA_NCEI STAC Catalog 2015-07-20 2015-07-29 -88.1, 41.6, -84.75, 46.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089378673-NOAA_NCEI.umm_json Raw data from the benthic macroinvertebrate lake wide surveys conducted in Lake Michigan in 2015. These basic benthic survey data provide the number of each taxon in each replicate sample (abundance), density, and biomass. Similar lake wide surveys were conducted to assess the status of benthic taxa beginning in 1994/1995 and repeated every five years through 2015. proprietary
-gov.noaa.nodc:0209226_Not Applicable Acropora cervicornis outplanting scores in the Florida Reef Tract from 2006-01-01 to 2099-12-31 (NCEI Accession 0209226) ALL STAC Catalog 2006-01-01 2099-12-31 -82.9771, 24.4437, -80.0646, 26.3438 https://cmr.earthdata.nasa.gov/search/concepts/C2089378705-NOAA_NCEI.umm_json To maximize long term (>10yr) survival of nursery raised Acropora cervicornis corals, a map based tool was created that ranks locations in the Florida Acropora Critical Habitat based on climate vulnerability. Climate vulnerability is defined both in terms of exposure to future heat stress and the coral's sensitivity as resilience. Suitable sites are determined by a number of factors, suitable sites must be within the Acropora critical habitat and within the depth range 5-15m, with either hard bottom or coral present. Those possible locations are ranked based on projected climate change impacts and a resilience metric based on seven different indicators: coral cover, macroalgae cover, bleaching resistance, coral diversity, coral disease, herbivore biomass, and temperature variability. The data is presented as a Google Earth tool (zipped), maps, gridded netCDF files and are accompanied by a guidance document and a .csv file ranking all locations. The Google Earth tool contains five major layers: depth, turbidity, resilience, year of annual severe bleaching, and outplanting score. Bleaching projections included here use climate model data from 2006-2099. proprietary
+gov.noaa.nodc:0209222_Not Applicable Abundance, biomass, and density of benthic macroinvertebrates collected from R/V Lake Guardian in Lake Michigan, Great Lakes from 2015-07-20 to 2015-07-29 (NCEI Accession 0209222) ALL STAC Catalog 2015-07-20 2015-07-29 -88.1, 41.6, -84.75, 46.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089378673-NOAA_NCEI.umm_json Raw data from the benthic macroinvertebrate lake wide surveys conducted in Lake Michigan in 2015. These basic benthic survey data provide the number of each taxon in each replicate sample (abundance), density, and biomass. Similar lake wide surveys were conducted to assess the status of benthic taxa beginning in 1994/1995 and repeated every five years through 2015. proprietary
gov.noaa.nodc:0209226_Not Applicable Acropora cervicornis outplanting scores in the Florida Reef Tract from 2006-01-01 to 2099-12-31 (NCEI Accession 0209226) NOAA_NCEI STAC Catalog 2006-01-01 2099-12-31 -82.9771, 24.4437, -80.0646, 26.3438 https://cmr.earthdata.nasa.gov/search/concepts/C2089378705-NOAA_NCEI.umm_json To maximize long term (>10yr) survival of nursery raised Acropora cervicornis corals, a map based tool was created that ranks locations in the Florida Acropora Critical Habitat based on climate vulnerability. Climate vulnerability is defined both in terms of exposure to future heat stress and the coral's sensitivity as resilience. Suitable sites are determined by a number of factors, suitable sites must be within the Acropora critical habitat and within the depth range 5-15m, with either hard bottom or coral present. Those possible locations are ranked based on projected climate change impacts and a resilience metric based on seven different indicators: coral cover, macroalgae cover, bleaching resistance, coral diversity, coral disease, herbivore biomass, and temperature variability. The data is presented as a Google Earth tool (zipped), maps, gridded netCDF files and are accompanied by a guidance document and a .csv file ranking all locations. The Google Earth tool contains five major layers: depth, turbidity, resilience, year of annual severe bleaching, and outplanting score. Bleaching projections included here use climate model data from 2006-2099. proprietary
+gov.noaa.nodc:0209226_Not Applicable Acropora cervicornis outplanting scores in the Florida Reef Tract from 2006-01-01 to 2099-12-31 (NCEI Accession 0209226) ALL STAC Catalog 2006-01-01 2099-12-31 -82.9771, 24.4437, -80.0646, 26.3438 https://cmr.earthdata.nasa.gov/search/concepts/C2089378705-NOAA_NCEI.umm_json To maximize long term (>10yr) survival of nursery raised Acropora cervicornis corals, a map based tool was created that ranks locations in the Florida Acropora Critical Habitat based on climate vulnerability. Climate vulnerability is defined both in terms of exposure to future heat stress and the coral's sensitivity as resilience. Suitable sites are determined by a number of factors, suitable sites must be within the Acropora critical habitat and within the depth range 5-15m, with either hard bottom or coral present. Those possible locations are ranked based on projected climate change impacts and a resilience metric based on seven different indicators: coral cover, macroalgae cover, bleaching resistance, coral diversity, coral disease, herbivore biomass, and temperature variability. The data is presented as a Google Earth tool (zipped), maps, gridded netCDF files and are accompanied by a guidance document and a .csv file ranking all locations. The Google Earth tool contains five major layers: depth, turbidity, resilience, year of annual severe bleaching, and outplanting score. Bleaching projections included here use climate model data from 2006-2099. proprietary
gov.noaa.nodc:0209247_Not Applicable Benthic cover derived from structure from motion images collected during marine debris surveys at coral reef sites entangled with derelict fishing nets at Pearl and Hermes Atoll in the Northwestern Hawaiian Islands from 2018-09-24 to 2018-10-03 (NCEI Accession 0209247) NOAA_NCEI STAC Catalog 2018-09-24 2018-10-03 -175.8211335, 27.8274571, -175.7880926, 27.8940486 https://cmr.earthdata.nasa.gov/search/concepts/C2089378869-NOAA_NCEI.umm_json The benthic cover and fishing-net related data described in this dataset are derived from the GIS analysis of benthic orthophotos. The source imagery was collected using a Structure from Motion (SfM) approach during in-water marine debris swim surveys conducted by snorkelers in search of derelict fishing nets. Surveys were conducted by the NOAA Fisheries, Ecosystem Sciences Division (ESD) from September 24 to October 3, 2018 at Pearl and Hermes Atoll during an ESD-led marine debris mission to the Northwestern Hawaiian Islands (NWHI) aboard NOAA Ship Oscar Elton Sette. The lagoon at Pearl and Hermes was surveyed equally across the spatial gradient, from locations where derelict fishing nets are common to locations where derelict fishing nets have never been observed. During the 2018 mission, only a subset of marine debris surveys resulted in a SfM survey. Fishing nets were located during swim surveys and selected for SfM if the net was interacting with coral or hard substrate, the depth of the net was within ~1â4 m of the surface, and the area of the net fit within the 9 sq. meter SFM survey plot. During a SFM survey, a permanent 3 x 3 m plot was established around the center of the fishing net, and the net was photographed using a back and forth swim pattern (âbeforeâ photos) for later processing using a SfM approach. The net was then removed, the volume of net removed was estimated and recorded, and the same area was photographed again in the same way (âafterâ photos). A nearby (>50 m distant) paired control site was also photographed using the same method (âcontrolâ photos). The photographs were processed using Agisoft Metashape software to generate orthomosaic images that were analyzed in ArcGIS for benthic cover using a random point approach. The number of points at net-impacted sites were constrained to the net coverage area and were scaled to the net area to ensure an equal point density among replicate net-impact sites. The same number of points were randomly assigned to the 3 Ã 3 m paired control site. Each point was classified into one of seven benthic categories: turf algae, macroalgae, sand, bare substrate, Porites compressa, sponge, or crustose coralline algae (CCA). The annotated points for each site were converted to percent cover for each benthic category. Fishing net size (sq m) and degree of fouling were also calculated from the orthophotos. Analyses were conducted to compare the benthic composition of net sites to control sites and to determine if fouling or net size contributed to these differences. proprietary
-gov.noaa.nodc:0209357_Not Applicable A Toolbox for secondary quality control on ocean chemistry and hydrographic data (NCEI Accession 0209357) NOAA_NCEI STAC Catalog 2000-01-01 2020-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089379328-NOAA_NCEI.umm_json This NCEA Accession contains MatLab files for a Toolbox for secondary quality control (2nd QC) on ocean chemistry and hydrographic data. High quality, reference measurements of chemical and physical properties of seawater are of great importance for a wide research community, including the need to validate models and attempts to quantify spatial and temporal variability. Whereas data precision has been improved by technological advances, the data accuracy has improved mainly by the use of certified reference materials (CRMs). However, since CRMs are not available for all variables, and use of CRMs does not guarantee bias-free data, we here present a recently developed Matlab toolbox for performing so-called secondary quality control on oceanographic data by the use of crossover analysis. This method and how it has been implemented in this toolbox is described in detail. This toolbox is developed mainly for use by sea-going scientists as a tool for quickly assessing possible bias in the measurements that can, hopefully, be remedied during the expedition, but also for possible post-cruise adjustment of data to be consistent with previous measurements in the region. proprietary
gov.noaa.nodc:0209357_Not Applicable A Toolbox for secondary quality control on ocean chemistry and hydrographic data (NCEI Accession 0209357) ALL STAC Catalog 2000-01-01 2020-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089379328-NOAA_NCEI.umm_json This NCEA Accession contains MatLab files for a Toolbox for secondary quality control (2nd QC) on ocean chemistry and hydrographic data. High quality, reference measurements of chemical and physical properties of seawater are of great importance for a wide research community, including the need to validate models and attempts to quantify spatial and temporal variability. Whereas data precision has been improved by technological advances, the data accuracy has improved mainly by the use of certified reference materials (CRMs). However, since CRMs are not available for all variables, and use of CRMs does not guarantee bias-free data, we here present a recently developed Matlab toolbox for performing so-called secondary quality control on oceanographic data by the use of crossover analysis. This method and how it has been implemented in this toolbox is described in detail. This toolbox is developed mainly for use by sea-going scientists as a tool for quickly assessing possible bias in the measurements that can, hopefully, be remedied during the expedition, but also for possible post-cruise adjustment of data to be consistent with previous measurements in the region. proprietary
+gov.noaa.nodc:0209357_Not Applicable A Toolbox for secondary quality control on ocean chemistry and hydrographic data (NCEI Accession 0209357) NOAA_NCEI STAC Catalog 2000-01-01 2020-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089379328-NOAA_NCEI.umm_json This NCEA Accession contains MatLab files for a Toolbox for secondary quality control (2nd QC) on ocean chemistry and hydrographic data. High quality, reference measurements of chemical and physical properties of seawater are of great importance for a wide research community, including the need to validate models and attempts to quantify spatial and temporal variability. Whereas data precision has been improved by technological advances, the data accuracy has improved mainly by the use of certified reference materials (CRMs). However, since CRMs are not available for all variables, and use of CRMs does not guarantee bias-free data, we here present a recently developed Matlab toolbox for performing so-called secondary quality control on oceanographic data by the use of crossover analysis. This method and how it has been implemented in this toolbox is described in detail. This toolbox is developed mainly for use by sea-going scientists as a tool for quickly assessing possible bias in the measurements that can, hopefully, be remedied during the expedition, but also for possible post-cruise adjustment of data to be consistent with previous measurements in the region. proprietary
gov.noaa.nodc:0210577_Not Applicable Air-Launched Autonomous Micro Observer (ALAMO) profiling float data from 2014-07-15 to 2018-11-11 (NCEI Accession 0210577) ALL STAC Catalog 2014-07-15 2018-11-11 -162, 11, -50, 43 https://cmr.earthdata.nasa.gov/search/concepts/C2089380393-NOAA_NCEI.umm_json Air-Launched Autonomous Micro Observer (ALAMO) profiling float data from the World Ocean. ALAMO profiling floats measure temperature, salinity, and pressure and were developed to be air deployed in previously difficult locations, including tropical cyclones and around sea ice. Data files in NetCDF. proprietary
gov.noaa.nodc:0210577_Not Applicable Air-Launched Autonomous Micro Observer (ALAMO) profiling float data from 2014-07-15 to 2018-11-11 (NCEI Accession 0210577) NOAA_NCEI STAC Catalog 2014-07-15 2018-11-11 -162, 11, -50, 43 https://cmr.earthdata.nasa.gov/search/concepts/C2089380393-NOAA_NCEI.umm_json Air-Launched Autonomous Micro Observer (ALAMO) profiling float data from the World Ocean. ALAMO profiling floats measure temperature, salinity, and pressure and were developed to be air deployed in previously difficult locations, including tropical cyclones and around sea ice. Data files in NetCDF. proprietary
gov.noaa.nodc:0210808_Not Applicable Assessment of coral reef fish and benthic communities in the West Hawaii Habitat Focus Area from 2015-10-13 to 2015-10-23 (NCEI Accession 0210808) NOAA_NCEI STAC Catalog 2015-10-13 2015-10-23 -156.048008, 19.568405, -155.828939, 20.059629 https://cmr.earthdata.nasa.gov/search/concepts/C2089380539-NOAA_NCEI.umm_json This archive package contains data on species composition, density, size, and abundance for coral reef fish as well as coral counts, benthic cover, and macroalga cover in the West Hawaii Habitat Focus Area along the Kona coast of the island of Hawaii. Data provided in this collection were gathered as part of the NOAA Habitat Blueprint initiative with support from the Coral Reef Conservation Program. Data were collected primarily by The Nature Conservancy Hawaii. Data were collected in 2015 using the Belt Transect method. This is the first year in a series of monitoring efforts which have taken place in subsequent years to evaluate the resilience of coral reefs in the Focus Area. This dataset serves as a baseline as it was collected during the 2015 coral bleaching event. The dataset accompanies the NOAA technical report Maynard et al. 2016. proprietary
@@ -18781,8 +18783,8 @@ gov.noaa.nodc:0225446_Not Applicable Assessment of coral reef benthic communitie
gov.noaa.nodc:0225545_Not Applicable Bulk density and pore water, sediment texture and composition data from sediment cores collected aboard R/V Weatherbird II cruises WB-0812 and WB-0813 in the northern Gulf of Mexico from 2012-08-14 to 2013-08-21 (NCEI Accession 0225545) NOAA_NCEI STAC Catalog 2012-08-14 2013-08-21 -88.86673, 28.97363, -86.33833, 29.73833 https://cmr.earthdata.nasa.gov/search/concepts/C2089379450-NOAA_NCEI.umm_json This dataset contains the bulk density and pore water, sediment texture and composition data from sediment cores collected aboard R/V Weatherbird II cruises WB-0812 and WB-0813 in the northern Gulf of Mexico (nGoM) from 2012-08-14 to 2013-08-21. These data were generated for selected core sub-samples at 2mm sampling intervals for âsurficial unitâ and 5mm sampling resolution intervals to the base of cores. For the bulk density and pore water data, sediment cores were collected on board the R/V Weatherbird II cruise WB-0812 in the nGoM from 2012-08-14 to 2012-08-16. It reports measurement of sediment sample wet weight (g), dry weight (g) and percent pore water. Bulk density is the dry weight per sampling volume expressed as g/cm3. Whereas, sediment texture and composition data were collected aboard R/V Weatherbird II cruise WB-0813 in the nGoM from 2013-08-20 to 2013-08-21. Sediment texture values were expressed as percent gravel, sand, silt, and clay. Percent of mud can be calculated by combining percent silt and clay. Sediment composition was expressed as percent total organic matter (TOM) measured by loss on ignition (LOI), percent carbonate content measured by acid leaching, and the percent insoluble residue (IR), which was likely dominated by terrigenous clastic (land-derived) sediment sources. proprietary
gov.noaa.nodc:0225979_Not Applicable Biological, chemical, physical and time series data collected from station WQBAW by University of Hawai'i at Hilo and University of Hawai'i at MÄnoa and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2008-06-06 to 2016-12-06 (NCEI Accession 0225979) NOAA_NCEI STAC Catalog 2008-06-06 2016-12-06 -157.848, 21.2799, -157.848, 21.2799 https://cmr.earthdata.nasa.gov/search/concepts/C2089379551-NOAA_NCEI.umm_json NCEI Accession 0225979 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo and University of Hawai'i at MÄnoa collected the data from their in-situ moored station named WQBAW: PacIOOS Water Quality Buoy AW (WQB-AW): Ala Wai, Oahu, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and University of Hawai'i at MÄnoa and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-AW is located at the exit of the Ala Wai Canal, near Magic Island. Continuous sampling of this outflow area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill. proprietary
gov.noaa.nodc:0226059_Not Applicable Biological, chemical, physical and time series data collected from station WQBKN by University of Hawai'i at Hilo and University of Hawai'i at MÃÂnoa and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2008-08-07 to 2017-01-04 (NCEI Accession 0226059) NOAA_NCEI STAC Catalog 2008-08-07 2017-01-04 -157.865, 21.2887, -157.865, 21.2887 https://cmr.earthdata.nasa.gov/search/concepts/C2089380013-NOAA_NCEI.umm_json NCEI Accession 0226059 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo and University of Hawai'i at MÃÂnoa collected the data from their in-situ moored station named WQBKN: PacIOOS Water Quality Buoy KN (WQB-KN): Kilo Nalu, Oahu, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and University of Hawai'i at MÃÂnoa and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-KN is located at the Kilo Nalu Nearshore Reef Observatory, near Kakaako Waterfront Park and Kewalo Basin off of Ala Moana Boulevard in Honolulu. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill. proprietary
-gov.noaa.nodc:0226205_Not Applicable ADCP data collected aboard NOAA Ship Gordon Gunter in the Coastal Waters of Florida, Coastal Waters of Mississippi, and Gulf of Mexico from 2020-03-28 to 2020-03-30 (NCEI Accession 0226205) NOAA_NCEI STAC Catalog 2020-03-28 2020-03-30 -88.576242, 27.591893, -82.438911, 30.342877 https://cmr.earthdata.nasa.gov/search/concepts/C2089380082-NOAA_NCEI.umm_json This dataset includes ADCP data collected aboard NOAA Ship Gordon Gunter in the Coastal Waters of Florida, Coastal Waters of Mississippi, and Gulf of Mexico from 2020-03-28 to 2020-03-30. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. The NOAA Office of Marine and Aviation Operations (OMAO) submitted these data to NCEI. proprietary
gov.noaa.nodc:0226205_Not Applicable ADCP data collected aboard NOAA Ship Gordon Gunter in the Coastal Waters of Florida, Coastal Waters of Mississippi, and Gulf of Mexico from 2020-03-28 to 2020-03-30 (NCEI Accession 0226205) ALL STAC Catalog 2020-03-28 2020-03-30 -88.576242, 27.591893, -82.438911, 30.342877 https://cmr.earthdata.nasa.gov/search/concepts/C2089380082-NOAA_NCEI.umm_json This dataset includes ADCP data collected aboard NOAA Ship Gordon Gunter in the Coastal Waters of Florida, Coastal Waters of Mississippi, and Gulf of Mexico from 2020-03-28 to 2020-03-30. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. The NOAA Office of Marine and Aviation Operations (OMAO) submitted these data to NCEI. proprietary
+gov.noaa.nodc:0226205_Not Applicable ADCP data collected aboard NOAA Ship Gordon Gunter in the Coastal Waters of Florida, Coastal Waters of Mississippi, and Gulf of Mexico from 2020-03-28 to 2020-03-30 (NCEI Accession 0226205) NOAA_NCEI STAC Catalog 2020-03-28 2020-03-30 -88.576242, 27.591893, -82.438911, 30.342877 https://cmr.earthdata.nasa.gov/search/concepts/C2089380082-NOAA_NCEI.umm_json This dataset includes ADCP data collected aboard NOAA Ship Gordon Gunter in the Coastal Waters of Florida, Coastal Waters of Mississippi, and Gulf of Mexico from 2020-03-28 to 2020-03-30. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. The NOAA Office of Marine and Aviation Operations (OMAO) submitted these data to NCEI. proprietary
gov.noaa.nodc:0231662_Not Applicable ADCP data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean and Yaquina Bay on 2019-07-15 (NCEI Accession 0231662) NOAA_NCEI STAC Catalog 2019-07-15 2019-07-15 -124.355093, 44.282964, -124.054485, 44.625023 https://cmr.earthdata.nasa.gov/search/concepts/C2089380691-NOAA_NCEI.umm_json This dataset includes ADCP data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean and Yaquina Bay on 2019-07-15. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. The NOAA Office of Marine and Aviation Operations (OMAO) submitted these data to NCEI. proprietary
gov.noaa.nodc:0231662_Not Applicable ADCP data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean and Yaquina Bay on 2019-07-15 (NCEI Accession 0231662) ALL STAC Catalog 2019-07-15 2019-07-15 -124.355093, 44.282964, -124.054485, 44.625023 https://cmr.earthdata.nasa.gov/search/concepts/C2089380691-NOAA_NCEI.umm_json This dataset includes ADCP data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean and Yaquina Bay on 2019-07-15. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. The NOAA Office of Marine and Aviation Operations (OMAO) submitted these data to NCEI. proprietary
gov.noaa.nodc:0232256_Not Applicable American Samoa Territorial Monitoring Program: Assessment of coral reef benthic and fish communities in American Samoa from 2005-03-10 to 2017-04-21 (NCEI Accession 0232256) NOAA_NCEI STAC Catalog 2005-03-10 2017-04-21 -170.563628, -14.364332, -170.812132, -14.252747 https://cmr.earthdata.nasa.gov/search/concepts/C2089380473-NOAA_NCEI.umm_json The data described here result from coral reef assessments of reef slopes (10m depth) at permanent sites around Tutuila, American Samoa as part of the ongoing American Samoa Coral Reef Monitoring Program (ASCRMP). These surveys were conducted by members of the American Samoa Coral Reef Advisory Group between 2005 and 2017. The data was collected via SCUBA surveys and reports on coral, benthic and fish composition and derived metrics (e.g., benthic cover, coral diversity, fish diversity, fish biomass). proprietary
@@ -18794,14 +18796,14 @@ gov.noaa.nodc:6800230_Not Applicable Cloud amount/frequency, NITRATE and other d
gov.noaa.nodc:6900225_Not Applicable Cloud amount/frequency, NITRATE and other data from GOA from 1968-09-19 to 1968-11-17 (NCEI Accession 6900225) NOAA_NCEI STAC Catalog 1968-09-19 1968-11-17 9, -17, 13.5, -4.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089382177-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:6901098_Not Applicable Cloud amount/frequency, NITRATE and other data from PANULIRUS and PANULIRUS II from 1966-10-18 to 1969-11-06 (NCEI Accession 6901098) NOAA_NCEI STAC Catalog 1966-10-18 1969-11-06 -64.5, 32.1, -64.5, 32.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089381131-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7000052_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Prince William Sound (Gulf of Alaska) from 1986-12-15 to 1986-12-18 (NCEI Accession 7000052) NOAA_NCEI STAC Catalog 1986-12-15 1986-12-18 -150, 59, -149, 60.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089381217-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:7000422_Not Applicable AIR PRESSURE and Other Data from GOSNOLD From NW Atlantic (limit-40 W) from 1969-10-28 to 1969-10-29 (NCEI Accession 7000422) ALL STAC Catalog 1969-10-28 1969-10-29 -72, 39, -71, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089383028-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7000422_Not Applicable AIR PRESSURE and Other Data from GOSNOLD From NW Atlantic (limit-40 W) from 1969-10-28 to 1969-10-29 (NCEI Accession 7000422) NOAA_NCEI STAC Catalog 1969-10-28 1969-10-29 -72, 39, -71, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089383028-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:7000422_Not Applicable AIR PRESSURE and Other Data from GOSNOLD From NW Atlantic (limit-40 W) from 1969-10-28 to 1969-10-29 (NCEI Accession 7000422) ALL STAC Catalog 1969-10-28 1969-10-29 -72, 39, -71, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089383028-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7000981_Not Applicable A summary of seawater chemistry analysis of stations in North Atlantic Ocean from 1970-06-20 to 1970-07-03 (NCEI Accession 7000981) NOAA_NCEI STAC Catalog 1970-06-01 1970-07-01 -29.33, 50.01, -14.2, 55.56 https://cmr.earthdata.nasa.gov/search/concepts/C2089381614-NOAA_NCEI.umm_json Seawater chemistry data were collected using bottle from the USNS KANE in the North Atlantic Ocean. Data were collected from 20 July 1970 to 03 July 1970. The seawater chemistry data includes reactive phosphate, reactive silicate, and nitrate. proprietary
gov.noaa.nodc:7000981_Not Applicable A summary of seawater chemistry analysis of stations in North Atlantic Ocean from 1970-06-20 to 1970-07-03 (NCEI Accession 7000981) ALL STAC Catalog 1970-06-01 1970-07-01 -29.33, 50.01, -14.2, 55.56 https://cmr.earthdata.nasa.gov/search/concepts/C2089381614-NOAA_NCEI.umm_json Seawater chemistry data were collected using bottle from the USNS KANE in the North Atlantic Ocean. Data were collected from 20 July 1970 to 03 July 1970. The seawater chemistry data includes reactive phosphate, reactive silicate, and nitrate. proprietary
gov.noaa.nodc:7001081_Not Applicable Characteristics of Sediments in the James River Estuary, Virginia, 1968 (NCEI Accession 7001081) NOAA_NCEI STAC Catalog 1966-04-01 1967-08-30 -77, 36.7, -76.15, 37.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089382141-NOAA_NCEI.umm_json This report presents data on the physical and chemical characteristics of bottom sediments in the James River estuary, Virgina. The data were generated as part of a comprehensive study of sedimentation in which the initial objective was to broadly define the distribution of sediment properties. proprietary
gov.noaa.nodc:7100000_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER, JAMES COOK and other platforms from 1964-08-24 to 1971-11-17 (NCEI Accession 7100000) NOAA_NCEI STAC Catalog 1964-08-24 1971-11-17 -155.5, -66.7, 175.2, 50.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089383124-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:7100048_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms From NE Pacific (limit-180) from 1969-08-01 to 1969-08-31 (NCEI Accession 7100048) NOAA_NCEI STAC Catalog 1969-08-01 1969-08-31 -85, 7, -75, 12 https://cmr.earthdata.nasa.gov/search/concepts/C2089383261-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7100048_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms From NE Pacific (limit-180) from 1969-08-01 to 1969-08-31 (NCEI Accession 7100048) ALL STAC Catalog 1969-08-01 1969-08-31 -85, 7, -75, 12 https://cmr.earthdata.nasa.gov/search/concepts/C2089383261-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:7100048_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms From NE Pacific (limit-180) from 1969-08-01 to 1969-08-31 (NCEI Accession 7100048) NOAA_NCEI STAC Catalog 1969-08-01 1969-08-31 -85, 7, -75, 12 https://cmr.earthdata.nasa.gov/search/concepts/C2089383261-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7100165_Not Applicable Chemical, physical, and other data collected using bottle casts from the North Pacific Ocean as a part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1951-01-06 to 1960-10-31 (NCEI Accession 7100165) NOAA_NCEI STAC Catalog 1951-01-06 1960-10-31 -140, 20, -120, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089383936-NOAA_NCEI.umm_json Chemical, physical, and other data were collected using bottle casts in the North Pacific Ocean from January 6, 1951 to October 31, 1960. Data were submitted by Scripps Institution of Oceanography as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary
gov.noaa.nodc:7100603_Not Applicable Chemical, physical, and other data collected using bottle, BT, current meter, MBT, meteorological sensors, and secchi disk casts in the North Pacific Ocean as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1968-01-01 to 1968-12-04 (NCEI Accession 7100603) NOAA_NCEI STAC Catalog 1968-01-01 1968-12-04 -122.9, 36.6, -121.9, 37 https://cmr.earthdata.nasa.gov/search/concepts/C2089381029-NOAA_NCEI.umm_json Chemical, physical, and other data were collected using bottle, BT, current meter, MBT, meteorological sensors, and secchi disk casts from January 1, 1968 to December 4, 1968. Data were submitted by Stanford University; Hopkins Marine Station as part of the California Cooperative Fisheries Investigation (CALCOFI) project. Data were processed by NODC to the NODC standard F004 water physics and chemistry format. Full F004 Format descriptions are available from the NODC homepage at www.nodc.noaa.gov/. The F004 format contains data from measurements and analysis of physical and chemical characteristics of the water column. Chemical parameters that may be recorded are salinity, pH and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity and current velocity (east-west and north-south components). Cruise and station information may include environmental conditions of the study site at the time of observation. Data are very sparse prior to 1951. proprietary
gov.noaa.nodc:7200096_Not Applicable Cloud amount/frequency, NITRATE and other data from EASTWARD from 1968-02-23 to 1971-11-16 (NCEI Accession 7200096) NOAA_NCEI STAC Catalog 1968-02-23 1971-11-16 -86.4, 11, -61.1, 37.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089383889-NOAA_NCEI.umm_json Not provided proprietary
@@ -18813,8 +18815,8 @@ gov.noaa.nodc:7201127_Not Applicable Cloud amount/frequency, NITRATE and other d
gov.noaa.nodc:7201380_Not Applicable Cloud amount/frequency, NITRATE and other data from EASTWARD from 1971-07-19 to 1972-11-04 (NCEI Accession 7201380) NOAA_NCEI STAC Catalog 1971-07-19 1972-11-04 -80.7, 30.4, -72.7, 38.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089382013-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7201418_Not Applicable Cloud amount/frequency, NITRATE and other data from PANULIRUS and PANULIRUS II from 1970-01-06 to 1972-11-03 (NCEI Accession 7201418) NOAA_NCEI STAC Catalog 1970-01-06 1972-11-03 -64.9, 31.5, -64.5, 32.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089382040-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7300167_Not Applicable Cloud amount/frequency, NITRATE and other data from ALEJANDRO DE HUMBOLDT and NOAA Ship DAVID STARR JORDAN in the Gulf of California from 1971-04-27 to 1971-05-09 (NCEI Accession 7300167) NOAA_NCEI STAC Catalog 1971-04-27 1971-05-09 -115.9, 22.8, -108, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089382675-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:7300282_Not Applicable AIR PRESSURE and Other Data from MULTIPLE SHIPS and Other Platforms from 1968-07-01 to 1970-12-31 (NCEI Accession 7300282) NOAA_NCEI STAC Catalog 1968-07-01 1970-12-31 113.9, -46.6, 179.8, -0.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089383549-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7300282_Not Applicable AIR PRESSURE and Other Data from MULTIPLE SHIPS and Other Platforms from 1968-07-01 to 1970-12-31 (NCEI Accession 7300282) ALL STAC Catalog 1968-07-01 1970-12-31 113.9, -46.6, 179.8, -0.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089383549-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:7300282_Not Applicable AIR PRESSURE and Other Data from MULTIPLE SHIPS and Other Platforms from 1968-07-01 to 1970-12-31 (NCEI Accession 7300282) NOAA_NCEI STAC Catalog 1968-07-01 1970-12-31 113.9, -46.6, 179.8, -0.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089383549-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7301085_Not Applicable Cloud amount/frequency, NITRATE and other data from BELLOWS from 1973-08-10 to 1973-08-15 (NCEI Accession 7301085) NOAA_NCEI STAC Catalog 1973-08-10 1973-08-15 -89.6, 27, -83, 29.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089381369-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7301177_Not Applicable Cloud amount/frequency, NITRATE and other data from GAUSS, METEOR and other platforms in the North Atlantic Ocean from 1959-11-18 to 1972-03-14 (NCEI Accession 7301177) NOAA_NCEI STAC Catalog 1959-11-18 1972-03-14 -85, 0, 35.9, 71.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089381441-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7400073_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER, USCGC ROCKAWAY and other platforms from 1969-05-01 to 1969-07-29 (NCEI Accession 7400073) NOAA_NCEI STAC Catalog 1969-05-01 1969-07-29 -59.8, 7.4, -52.6, 17.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089381593-NOAA_NCEI.umm_json Not provided proprietary
@@ -18841,8 +18843,8 @@ gov.noaa.nodc:7617994_Not Applicable Cloud amount/frequency, NITRATE and other d
gov.noaa.nodc:7617995_Not Applicable Cloud amount/frequency, NITRATE and other data from A. V. HUMBOLDT from 1974-07-28 to 1974-08-17 (NCEI Accession 7617995) NOAA_NCEI STAC Catalog 1974-07-28 1974-08-17 -25, -1.5, -23.4, 1.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385645-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7700058_Not Applicable AIR PRESSURE and Other Data from YELCHO From Drake Passage from 1976-02-27 to 1976-04-08 (NCEI Accession 7700058) ALL STAC Catalog 1976-02-27 1976-04-08 -70, -90, -50, -70 https://cmr.earthdata.nasa.gov/search/concepts/C2089385730-NOAA_NCEI.umm_json Surface Data was collected aboard the YELCHO. Data collected was part of the First Dynamic Response And Kinematic Experiment (FDRAKE) conducted in 1976, along the Drake passage. Data consists of surface temperature, salinity, and silicate. The data was submitted by the Department of Oceanography, Texas A&M University College Station, Texas. Data are in form of computer printout (13 pages), there are no tapes. The experiment was conducted in two separate legs. The first leg was conducted between February 27-March 13, 1976 and the second leg of the experiment was conducted between March 22-April 8, 1976. proprietary
gov.noaa.nodc:7700058_Not Applicable AIR PRESSURE and Other Data from YELCHO From Drake Passage from 1976-02-27 to 1976-04-08 (NCEI Accession 7700058) NOAA_NCEI STAC Catalog 1976-02-27 1976-04-08 -70, -90, -50, -70 https://cmr.earthdata.nasa.gov/search/concepts/C2089385730-NOAA_NCEI.umm_json Surface Data was collected aboard the YELCHO. Data collected was part of the First Dynamic Response And Kinematic Experiment (FDRAKE) conducted in 1976, along the Drake passage. Data consists of surface temperature, salinity, and silicate. The data was submitted by the Department of Oceanography, Texas A&M University College Station, Texas. Data are in form of computer printout (13 pages), there are no tapes. The experiment was conducted in two separate legs. The first leg was conducted between February 27-March 13, 1976 and the second leg of the experiment was conducted between March 22-April 8, 1976. proprietary
-gov.noaa.nodc:7700179_Not Applicable AIR PRESSURE and Other Data from MULTIPLE SHIPS and Other Platforms From Labrador Sea from 1919-09-29 to 1976-04-26 (NCEI Accession 7700179) NOAA_NCEI STAC Catalog 1919-09-29 1976-04-26 -60, 44, 48, 80.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385848-NOAA_NCEI.umm_json This is German Surface Physical & Chemical Data submitted by Deutsches Hydrographische Institut. This data was collected in the Labrador Sea from January 6, 1974 to August 16, 1974. There is no documentation or description of the source code format. proprietary
gov.noaa.nodc:7700179_Not Applicable AIR PRESSURE and Other Data from MULTIPLE SHIPS and Other Platforms From Labrador Sea from 1919-09-29 to 1976-04-26 (NCEI Accession 7700179) ALL STAC Catalog 1919-09-29 1976-04-26 -60, 44, 48, 80.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385848-NOAA_NCEI.umm_json This is German Surface Physical & Chemical Data submitted by Deutsches Hydrographische Institut. This data was collected in the Labrador Sea from January 6, 1974 to August 16, 1974. There is no documentation or description of the source code format. proprietary
+gov.noaa.nodc:7700179_Not Applicable AIR PRESSURE and Other Data from MULTIPLE SHIPS and Other Platforms From Labrador Sea from 1919-09-29 to 1976-04-26 (NCEI Accession 7700179) NOAA_NCEI STAC Catalog 1919-09-29 1976-04-26 -60, 44, 48, 80.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385848-NOAA_NCEI.umm_json This is German Surface Physical & Chemical Data submitted by Deutsches Hydrographische Institut. This data was collected in the Labrador Sea from January 6, 1974 to August 16, 1974. There is no documentation or description of the source code format. proprietary
gov.noaa.nodc:7700437_Not Applicable Cloud amount/frequency, NITRATE and other data from CHAIN from 1973-03-11 to 1973-07-06 (NCEI Accession 7700437) NOAA_NCEI STAC Catalog 1973-03-11 1973-07-06 -72.6, 26.3, -66.8, 33.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386094-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:7700455_Not Applicable BENTHIC SPECIES and Other Data from GILLISS and Other Platforms from 1975-10-27 to 1976-08-27 (NCEI Accession 7700455) NOAA_NCEI STAC Catalog 1975-10-27 1976-08-27 -75.3, 37.1, -71.9, 39.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089386131-NOAA_NCEI.umm_json Data was submitted by Dr. Gerald L. Engel. This study was organized to collect data on Parasite Type and Location. Parasite (both ecto- and endo-), and site of infection were looked into. SST, wave, turbidity, gear type (trawl), species, parasite (both ecto- and endo-), and site of infection (i.e. data on parasite type and location) data were collected. The documentation describes instruments employed for sampling, units, and a detailed description of the record format. These studies were part of the Mid-Atlantic Outer Continental Shelf Studies (OCS). These data were collected by the Virginia Institute of Marine Science (VIMS). Special codes employed by VIMS to describe parasite types and location were included as hardcopy. The original information submitted on tape has been converted into the current NODC storage format. proprietary
gov.noaa.nodc:7700456_Not Applicable BENTHIC SPECIES and Other Data from GILLISS and Other Platforms from 1976-06-14 to 1976-09-02 (NCEI Accession 7700456) NOAA_NCEI STAC Catalog 1976-06-14 1976-09-02 -75.3, 37.5, -71.9, 39.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089386139-NOAA_NCEI.umm_json "Data submitted by Dr. Gerald L. Engel. The data was collected between June 1976 and September 1976. This study was organized to collect Histopathology and Benthic data. SST, wave, turbidity, gear type (trawl v.s dredge), benthic species counts and weights were collected. These data are ""megabenthic"" species. The documentation describes instruments employed for sampling, units, and a detailed description of the record format. The original data on tape has been converted to current NODC storage format. These studies were part of the Mid-Atlantic Outer Continental Shelf Studies (OCS). These data were collected by the Virginia Institute of Marine Science (VIMS)." proprietary
@@ -19072,8 +19074,8 @@ gov.noaa.nodc:9300147_Not Applicable Chlorophyll-a profiles collected by various
gov.noaa.nodc:9300152_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship RAINIER in the NE Pacific from 1993-03-23 to 1993-07-31 (NCEI Accession 9300152) NOAA_NCEI STAC Catalog 1993-03-23 1993-07-31 -157.3, 56.7, -133.6, 57.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387756-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180). Data was collected from NOAA Ship RAINIER. The data was collected over a period spanning from March 23, 1993 to July 31, 1993. Data was submitted in a diskette by Capt. Russell Arnold, Pacific Marine Environmental Laboratory, Seattle, WA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary
gov.noaa.nodc:9300161_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea and Others from 1992-07-24 to 1992-10-27 (NCEI Accession 9300161) NOAA_NCEI STAC Catalog 1992-07-24 1992-10-27 -170.4, 53.6, -149.4, 71.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089387773-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Alaska, Chukchi Sea, and NW Pacific (limit-180). Data was collected from cruises HX 163, HX 165 and HX 167 of Ship ALPHA HELIX. The data was collected over a period spanning from July 24, 1992 to october 27, 1992. Data was submitted in one exabyte cassette by Dr. Thomas C. Royer, Institute of Marine Science, University of Alaska, Fairbanks, AK. proprietary
gov.noaa.nodc:9300187_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the Gulf of Mexico from 1992-04-02 to 1992-07-14 (NCEI Accession 9300187) NOAA_NCEI STAC Catalog 1992-04-02 1992-07-14 -92.9, 27.4, -91.8, 27.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387862-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Mexico by SEACATs deployed in the area. Data was collected from NOAA Ship WHITING during 7 casts. The data was collected over a period spanning from April 2, 1992 to July 14, 1992. Data was submitted in one diskette by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary
-gov.noaa.nodc:9300196_Not Applicable Algal Species and other data collected from photographs in Southeast Atlantic Ocean from 1991-06-11 to 1993-03-22 (NCEI Accession 9300196) ALL STAC Catalog 1991-06-11 1993-03-22 -88, 17, -85, 22 https://cmr.earthdata.nasa.gov/search/concepts/C2089387904-NOAA_NCEI.umm_json Algal species and other data were collected using photographs from swimmers/divers in Southeast Atlantic Ocean. Data were collected from 11 June 1991 to 22 March 1993 by the Coral Cay Conservation. proprietary
gov.noaa.nodc:9300196_Not Applicable Algal Species and other data collected from photographs in Southeast Atlantic Ocean from 1991-06-11 to 1993-03-22 (NCEI Accession 9300196) NOAA_NCEI STAC Catalog 1991-06-11 1993-03-22 -88, 17, -85, 22 https://cmr.earthdata.nasa.gov/search/concepts/C2089387904-NOAA_NCEI.umm_json Algal species and other data were collected using photographs from swimmers/divers in Southeast Atlantic Ocean. Data were collected from 11 June 1991 to 22 March 1993 by the Coral Cay Conservation. proprietary
+gov.noaa.nodc:9300196_Not Applicable Algal Species and other data collected from photographs in Southeast Atlantic Ocean from 1991-06-11 to 1993-03-22 (NCEI Accession 9300196) ALL STAC Catalog 1991-06-11 1993-03-22 -88, 17, -85, 22 https://cmr.earthdata.nasa.gov/search/concepts/C2089387904-NOAA_NCEI.umm_json Algal species and other data were collected using photographs from swimmers/divers in Southeast Atlantic Ocean. Data were collected from 11 June 1991 to 22 March 1993 by the Coral Cay Conservation. proprietary
gov.noaa.nodc:9300199_Not Applicable Benthic and tissue toxin data from stations in U.S. coastal waters from 1984-01-01 to 1989-12-31 (NCEI Accession 9300199) NOAA_NCEI STAC Catalog 1984-01-01 1989-12-31 -123, 25, -67, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2089387915-NOAA_NCEI.umm_json The accession contains Benthic and Tissue toxin data from stations in U.S. coastal waters (Coastal Waters of Western U.S. and North American Coastline-North) collected under the National Status and Trends (NS&T) program from 1984-1989. NS&T program for marine environmental quality was designed to define the geographic distribution of contaminant concentrations in tissues of marine organisms and sediments, and documenting biological responses to contamination. Samples have been collected under the original Benthic Surveillance Project (sediment and tissue samples from benthic fish) since 1984. Samples have been collected under the Mussel Watch Project (sediment and bivalves) since 1986. Both programs involved collecting samples from fixed sites on both Atlantic and Pacific coasts. Sites were selected so as not to be in close proximity to a major contamination source, as the programs objective was to quantify contamination over general areas. Chemical data from sediments collected during the benthic surveillance project, 1984-1986, is contained in a single delimited ASCII file (bssed.txt). Additional contaminated sediment data from the mussel watch program, 1986-1989, is contained in a single delimited ASCII file (mwsed.txt). These data do not include tissue analysis for contaminants. Chemicals and related parameters measured in sediments include: DDT. Since 1986, NOAA'S NS&T Program has included a component called the mussel watch project that has annually collected and chemically analyzed mussels and oysters from 177 sites at coastal and estuarine sites. Tissue samples from these mollusks have been analyzed to establish temporal trends of contaminant accumulation. Contaminants analyzed during this project include: polyaromatic hydrocarbons, polychlorinated biphenyls, chlorinated pesticides (such as ddt and its metabolites), aluminum, iron, manganese, silicon, other trace elements, and lipids. Tissue contaminant data from the mussel watch project, years 1986-1989, is contained in a single wordperfect 4.2 file, mollto90.txt. a second file, tbt_90.txt, lists the sum of concentrations of tributyl tin and its breakdown products (dibutyl tin and monobutyl tin) found in bivalve tissue samples. Tributylin (tbt) was previously used as an antifouling agent in paints, but its use on vessels under 75 feet was banned in 1988. A third file, mwsiteyr.txt, lists collection sites. proprietary
gov.noaa.nodc:9400001_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the NW Atlantic from 1993-08-29 to 1993-11-21 (NCEI Accession 9400001) NOAA_NCEI STAC Catalog 1993-08-29 1993-11-21 -71.3, 41.4, -70.3, 41.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089387925-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) SEACAT data was collected in NW Atlantic (limit-40 W). Data was collected during 17 casts from NOAA Ship WHITING. The data was collected over a period spanning from August 29, 1993 to November 21, 1993. Data was submitted in a diskette by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary
gov.noaa.nodc:9400010_Not Applicable BAROMETRIC PRESSURE and Other Data from SEAWARD EXPLORER From NW Atlantic (limit-40 W) from 1993-02-06 to 1993-08-28 (NCEI Accession 9400010) NOAA_NCEI STAC Catalog 1993-02-06 1993-08-28 -75.9, 34.5, -73.7, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089388069-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W) as part of Physical Oceanography Field Program offshore North Carolina supported by grant MMS #14-35-0001-30599. Data was collected from Ship SEAWARD EXPLORER cruises SE9301, SE9303, and SE9309. The data was collected over a period spanning from February 6, 1993 and August 28, 1993. Data from 146 stations containing 7,614 records was submitted on a tape by Dr. Thomas Berger, Science Applications, Inc., Raleigh NC. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary
@@ -19112,8 +19114,8 @@ gov.noaa.nodc:9500053_Not Applicable BAROMETRIC PRESSURE and Other Data from NOA
gov.noaa.nodc:9500075_Not Applicable CARBON DIOXIDE - PARTIAL PRESSURE (pCO2) - SEA and Other Data from MULTIPLE SHIPS From TOGA Area - Pacific (30 N to 30 S) from 1989-01-01 to 1989-12-31 (NCEI Accession 9500075) NOAA_NCEI STAC Catalog 1989-01-01 1989-12-31 -159, 22.7, -157.9, 22.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386263-NOAA_NCEI.umm_json "Sea/air gas ratios data was collected in TOGA Area - Pacific (30 N to 30 S) between January 1, 1989 and December 31, 1989 during cruises conducted using ships WECOMA, KILA and MOANA WAVE as part of the Hawaii Ocean Time-Series (HOTS) project, to fulfill the requirements of the World Ocean Circulation Experiment (WOCE). Oxygen / Argon ratios; Oxygen / Nitrogen ratio and Oxygen-18 isotope / at depth vs. air were measured by University of Washington, Seattle, WA. Data was reported in Emerson, Quay, et al., ""O2, Ar, N2 and 222Rn in Surface Waters of the Subarctic Ocean: Net Biological O2 Production"", Global Biogeochemical Cycles, vol 5, pp49-69." proprietary
gov.noaa.nodc:9500100_Not Applicable BAROMETRIC PRESSURE and Other Data from WECOMA and Other Platforms From NE Pacific (limit-180) from 1993-06-07 to 1993-09-20 (NCEI Accession 9500100) NOAA_NCEI STAC Catalog 1993-06-07 1993-09-20 -129, 36, -122, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089386407-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180) as part of Eastern Boundary Currents Accelerated Research Initiative. Data was collected from Ship WECOMA cruises # W9306A and W9308B. The data was collected over a period spanning from June 7, 1993 to September 20, 1993. Conventional CTD data from 100 casts and 165 segments (stations) of towed SEASOAR CTD data was submitted by Dr. Adrianna Huyer, Oregon State University, Corvallis OR. Four files of data and two Data Documentation Form files were received by NODC. proprietary
gov.noaa.nodc:9500145_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX and Other Platforms From Bering Sea from 1985-01-01 to 1995-01-06 (NCEI Accession 9500145) NOAA_NCEI STAC Catalog 1985-01-01 1995-01-06 -149.466667, 59.845, -149.358167, 60.025 https://cmr.earthdata.nasa.gov/search/concepts/C2089386649-NOAA_NCEI.umm_json The accession contains Conductivity, Temperature and Depth (CTD); Chlorophyll; and Nutrient data collected in Bering Sea as part of Inner Shelf Transfer and Recycling (ISHTAR) program collected from 1985-1995 using multiple ships. The compressed tar file ishtar.tar.Z contained ASCII files of the ISHTAR research project headed by Dr. C.P. McRoy of the Institute of Marine Science, University of Alaska Fairbanks. There are two types of files: 1. Chlorophyll (20), and 2. Nutrient (19). They are differentiated by filenames. Chlorophyll data files end in chl.dat and Nutrient data files end in nut.dat. The prefixes are cruise names. Good format information is provided with the data files. proprietary
-gov.noaa.nodc:9500149_Not Applicable ALACE subsurface drifter data in South Pacific, for March 1995 (NCEI Accession 9500149) ALL STAC Catalog 1995-03-01 1995-03-22 -155.26, -70.46, 10.48, 35.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089386671-NOAA_NCEI.umm_json The ALACE (Autonomous LAgrangian Circulation Explorer) is a subsurface drifter, periodically rising to the surface to relay data to ARGOS. Instrument location is then obtained from ARGOS. An ALACE profiler collects data on ascent and relays a compressed data set to ARGOS. The amount of time spent at its neutrally-buoyant depth, and then at the surface, is variable, dependent upon the deployment site and the main scientific objective of the ALACE. Profiling ALACEs generally complete a cycle every 8-10 days, spending 24 hours at the surface transmitting to ARGOS. proprietary
gov.noaa.nodc:9500149_Not Applicable ALACE subsurface drifter data in South Pacific, for March 1995 (NCEI Accession 9500149) NOAA_NCEI STAC Catalog 1995-03-01 1995-03-22 -155.26, -70.46, 10.48, 35.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089386671-NOAA_NCEI.umm_json The ALACE (Autonomous LAgrangian Circulation Explorer) is a subsurface drifter, periodically rising to the surface to relay data to ARGOS. Instrument location is then obtained from ARGOS. An ALACE profiler collects data on ascent and relays a compressed data set to ARGOS. The amount of time spent at its neutrally-buoyant depth, and then at the surface, is variable, dependent upon the deployment site and the main scientific objective of the ALACE. Profiling ALACEs generally complete a cycle every 8-10 days, spending 24 hours at the surface transmitting to ARGOS. proprietary
+gov.noaa.nodc:9500149_Not Applicable ALACE subsurface drifter data in South Pacific, for March 1995 (NCEI Accession 9500149) ALL STAC Catalog 1995-03-01 1995-03-22 -155.26, -70.46, 10.48, 35.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089386671-NOAA_NCEI.umm_json The ALACE (Autonomous LAgrangian Circulation Explorer) is a subsurface drifter, periodically rising to the surface to relay data to ARGOS. Instrument location is then obtained from ARGOS. An ALACE profiler collects data on ascent and relays a compressed data set to ARGOS. The amount of time spent at its neutrally-buoyant depth, and then at the surface, is variable, dependent upon the deployment site and the main scientific objective of the ALACE. Profiling ALACEs generally complete a cycle every 8-10 days, spending 24 hours at the surface transmitting to ARGOS. proprietary
gov.noaa.nodc:9500152_Not Applicable BAROMETRIC PRESSURE and Other Data from AURORA AUSTRALIS and Other Platforms from 1991-01-06 to 1992-03-06 (NCEI Accession 9500152) NOAA_NCEI STAC Catalog 1991-01-06 1992-03-06 67.5, -69.5, 135.4, -50.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386699-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected from Ship AURORA AUSTRALIS. The data was collected over a period spanning from January 6, 1991 and March 6, 1992. Data from 343 casts containing 185,102 records was submitted via File Transfer Protocol by Ms. Edwina Tanner, Antarctic Cooperative Research Centre, University of Tasmania, Australia. proprietary
gov.noaa.nodc:9500160_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea from 1995-08-24 to 1995-09-01 (NCEI Accession 9500160) NOAA_NCEI STAC Catalog 1995-08-24 1995-09-01 163.988167, 66.665667, -168.998, 71.312667 https://cmr.earthdata.nasa.gov/search/concepts/C2089386823-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected from 73 stations in Chukchi Sea and East Siberian Sea area. The station numbers are 1-6, 8-30, 32-74, 76. Data was collected from Ship ALPHA HELIX cruise HX189. The data was collected BY Dr. J. Grebmeier of the University of Tennessee over a period spanning from August 24, 1995 to September 1, 1995. This project was funded by Office of Naval Research under grant no: NAVY N00014-94-1-1042Grebmeier. Data in NODC file format F022 was submitted by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks. proprietary
gov.noaa.nodc:9600001_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea from 1995-09-10 to 1995-10-08 (NCEI Accession 9600001) NOAA_NCEI STAC Catalog 1995-09-10 1995-10-08 160, 52, -156, 71 https://cmr.earthdata.nasa.gov/search/concepts/C2089386837-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Chukchi Sea as part of Office of Naval Research project. Data was collected from Ship ALPHA HELIX cruise HX-190. The data was collected over a period spanning from September 11, 1995 to October 8, 1995. Data was collected from 209 CTD stations by Institute of Marine Science, University of Alaska, Fairbanks, AK and was submitted by Dr Thomas Weingartner via File transfer Protocol in F022 file format of NODC. proprietary
@@ -19122,8 +19124,8 @@ gov.noaa.nodc:9600025_Not Applicable AIR PRESSURE and Other Data from SHI YAN 3
gov.noaa.nodc:9600039_Not Applicable Bacterial production, primary production, phytoplankton, zooplankton, biological analysis of fish, and massive fish length data from the EVRIKA and other platforms in the Antarctic from 23 February 1980 to 09 December 1988 (NCEI Accession 9600039) NOAA_NCEI STAC Catalog 1980-02-23 1988-12-09 -62.76, -63.98, -31.83, -50 https://cmr.earthdata.nasa.gov/search/concepts/C2089387013-NOAA_NCEI.umm_json Bacterial production, primary production, phytoplankton, zooplankton, biological analysis of fish, and massive fish length data were collected from the EVRIKA and other platforms in the Antarctic. Data were collected by the Atlantic Research Institute of Fishing Economy and Ocean from 23 February 1980 to 09 December 1988. proprietary
gov.noaa.nodc:9600065_Not Applicable BAROMETRIC PRESSURE and Other Data from THOMAS G. THOMPSON and Other Platforms From TOGA Area - Pacific (30 N to 30 S) from 1992-10-13 to 1992-12-13 (NCEI Accession 9600065) NOAA_NCEI STAC Catalog 1992-10-13 1992-12-13 -149.389635, -17.193678, -134.31313, 12.067383 https://cmr.earthdata.nasa.gov/search/concepts/C2089387122-NOAA_NCEI.umm_json The data in this accession was collected as part of Joint Global Ocean Flux Study/Equatorial Pacific Basin Study (JGOFS/EQPAC) in TOGA Area - Pacific (30 N to 30 S) using Ship THOMAS G. THOMPSON. CTD Data were collected by University of Washington, Seattle, WA between October 13, 1992 and December 13, 1992. Five Files of CTD data were submitted by Dr. Wilford Gardner. Good documentation accompanies this data. proprietary
gov.noaa.nodc:9600140_Not Applicable BAROMETRIC PRESSURE and Other Data from NOAA Ship ALBATROSS IV and Other Platforms From NW Atlantic (limit-40 W) from 1995-02-11 to 1995-07-20 (NCEI Accession 9600140) NOAA_NCEI STAC Catalog 1995-02-11 1995-07-20 -69.237, 40.413, -65.647, 42.335 https://cmr.earthdata.nasa.gov/search/concepts/C2089387550-NOAA_NCEI.umm_json Hydrochemical, hydrophysical, and other data were collected from the ENDEAVOR and NOAA Ship ALBATROSS IV from February 11, 1995 to July 20, 1995. Data were submitted by Dr. David Mountain from the US DOC; NOAA; NATIONAL MARINE FISHERIES SERVICE - WOODS HOLE. These data were collected using meteorological sensors, secchi disks, transmissometers, bottle casts, and CTD casts in the Northwest Atlantic Ocean. proprietary
-gov.noaa.nodc:9600151_Not Applicable ABSORPTION, SCATTERING, ATTENUATION COEFFICIENTS and Other Data from SATELLITE From World-Wide Distribution from 1992-11-01 to 1993-02-28 (NCEI Accession 9600151) ALL STAC Catalog 1992-11-01 1993-02-28 140, -10, 180, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2089387603-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9600151_Not Applicable ABSORPTION, SCATTERING, ATTENUATION COEFFICIENTS and Other Data from SATELLITE From World-Wide Distribution from 1992-11-01 to 1993-02-28 (NCEI Accession 9600151) NOAA_NCEI STAC Catalog 1992-11-01 1993-02-28 140, -10, 180, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2089387603-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:9600151_Not Applicable ABSORPTION, SCATTERING, ATTENUATION COEFFICIENTS and Other Data from SATELLITE From World-Wide Distribution from 1992-11-01 to 1993-02-28 (NCEI Accession 9600151) ALL STAC Catalog 1992-11-01 1993-02-28 140, -10, 180, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2089387603-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9700022_Not Applicable Chemical and temperature profile data from CTD casts in the East China Sea, Sea of Japan, and North Pacific Ocean (NCEI Accession 9700022) NOAA_NCEI STAC Catalog 123.066667, 3, 147.033333, 45.583333 https://cmr.earthdata.nasa.gov/search/concepts/C2089387774-NOAA_NCEI.umm_json Chemical and temperature profile data were collected from CTD casts in the East China Sea, Sea of Japan, and North Pacific Ocean. Data were submitted by the Japan Meteorological Agency (JMA). proprietary
gov.noaa.nodc:9700025_Not Applicable Chemical, physical, and other data collected using fluorometer, laboratory analysis, visual analysis, and bottle casts from NOAA Ship DAVID STARR JORDAN and NEW HORIZON as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1994-01-21 to 1996-04-30 (NCEI Accession 9700025) NOAA_NCEI STAC Catalog 1994-01-21 1996-04-30 -124.3, 29.9, -117.3, 35.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089387805-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN and NEW HORIZON from January 21, 1994 to April 30, 1996. Data were collected using fluorometer, laboratory analysis, visual analysis, and bottle casts in the Northeast Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary
gov.noaa.nodc:9700040_Not Applicable Chemical, physical, and other data collected using bottle casts from NOAA Ship DAVID STARR JORDAN and NEW HORIZON as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1995-01-04 to 1996-05-03 (NCEI Accession 9700040) NOAA_NCEI STAC Catalog 1995-01-04 1996-05-03 -124.326667, 30.16, -117.303333, 35.09 https://cmr.earthdata.nasa.gov/search/concepts/C2089387897-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN and NEW HORIZON from January 4, 1995 to May 3, 1996. Data were collected using bottle casts from the Northeast Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary
@@ -19131,8 +19133,8 @@ gov.noaa.nodc:9700063_Not Applicable AIR PRESSURE and Other Data from NOODIN Fro
gov.noaa.nodc:9700063_Not Applicable AIR PRESSURE and Other Data from NOODIN From Great Lakes from 1995-06-20 to 1996-11-14 (NCEI Accession 9700063) NOAA_NCEI STAC Catalog 1995-06-20 1996-11-14 -91.7, 47, -91.7, 47 https://cmr.earthdata.nasa.gov/search/concepts/C2089388236-NOAA_NCEI.umm_json Conductivity, temperature, depth, pressure, transmissivity, and fluorsecence were collected from the NOODIN from June 20, 1995 to October 26, 1995 and May 30, 1996 to November 14, 1996. Data were submitted by Dr. Elise A. Ralph from the University of Minnesota; Large Lakes Observatory. These data were collected using transmissometer, fluorometer, and CTD casts in the Two Harbors, MN to Port Wing, WI on the Lake Superior. proprietary
gov.noaa.nodc:9700115_Not Applicable Chemical and temperature profile data from bottle and CTD casts in the Pacific Ocean as part of the Joint Global Ocean Flux Study/Equatorial Pacific Basin Study (JGOFS/EQPAC) project, from 1992-03-19 to 1992-10-21 (NCEI Accession 9700115) NOAA_NCEI STAC Catalog 1992-03-19 1992-10-21 -145.489, -12, -134.9117, 12.0317 https://cmr.earthdata.nasa.gov/search/concepts/C2089388395-NOAA_NCEI.umm_json Chemical and temperature profile data were collected using bottle and CTD casts from the THOMAS THOMPSON in the Pacific Ocean from March 19, 1992 to October 21, 1992. Data were collected three different universities and a institution; Oregon State University, University of Washington, Woods Hole Oceanographic Institution, and University of Maryland; Horn Point Environmental Laboratory as part of the Joint Global Ocean Flux Study/Equatorial Pacific Basin Study (JGOFS/EQPAC) project. proprietary
gov.noaa.nodc:9700116_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON From TOGA Area - Pacific (30 N to 30 S) from 1992-03-19 to 1992-10-21 (NCEI Accession 9700116) NOAA_NCEI STAC Catalog 1992-03-19 1992-10-21 -145, -12, -140, 0 https://cmr.earthdata.nasa.gov/search/concepts/C2089388417-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:9700205_Not Applicable AIR PRESSURE and Other Data from THOMAS G. THOMPSON from 1992-02-02 to 1992-10-21 (NCEI Accession 9700205) NOAA_NCEI STAC Catalog 1992-02-02 1992-10-21 -146.293, -12.864, -104.392, 2.999 https://cmr.earthdata.nasa.gov/search/concepts/C2089388823-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9700205_Not Applicable AIR PRESSURE and Other Data from THOMAS G. THOMPSON from 1992-02-02 to 1992-10-21 (NCEI Accession 9700205) ALL STAC Catalog 1992-02-02 1992-10-21 -146.293, -12.864, -104.392, 2.999 https://cmr.earthdata.nasa.gov/search/concepts/C2089388823-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:9700205_Not Applicable AIR PRESSURE and Other Data from THOMAS G. THOMPSON from 1992-02-02 to 1992-10-21 (NCEI Accession 9700205) NOAA_NCEI STAC Catalog 1992-02-02 1992-10-21 -146.293, -12.864, -104.392, 2.999 https://cmr.earthdata.nasa.gov/search/concepts/C2089388823-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9700207_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1992-02-04 to 1992-09-12 (NCEI Accession 9700207) NOAA_NCEI STAC Catalog 1992-02-04 1992-09-12 -140.865, -12.1793, -134.7875, 12.0317 https://cmr.earthdata.nasa.gov/search/concepts/C2089388838-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9700208_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1992-02-08 to 1992-09-14 (NCEI Accession 9700208) NOAA_NCEI STAC Catalog 1992-02-08 1992-09-14 -140.9418, -12.035, -134.953, 8.9933 https://cmr.earthdata.nasa.gov/search/concepts/C2089388854-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9700210_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1992-02-04 to 1992-09-10 (NCEI Accession 9700210) NOAA_NCEI STAC Catalog 1992-02-04 1992-09-10 -140.0498, -12.0082, -134.9867, 12.0133 https://cmr.earthdata.nasa.gov/search/concepts/C2089388862-NOAA_NCEI.umm_json Not provided proprietary
@@ -19140,29 +19142,29 @@ gov.noaa.nodc:9700238_Not Applicable BACTERIA - BACTERIAL DENSITY and Other Data
gov.noaa.nodc:9800027_Not Applicable BAROMETRIC PRESSURE and Other Data from LITTLE DIPPER from 1995-03-01 to 1998-02-06 (NCEI Accession 9800027) NOAA_NCEI STAC Catalog 1995-03-01 1998-02-06 -149.5, 59.8, -149.4, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089385859-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9800037_Not Applicable Chemical, temperature, pressure, and salinity data from bottle and CTD casts in the Arabian Sea as part of the Joint Global Ocean Flux Study / Arabian Sea Process Studies (JGOFS/Arabian) project, from 1995-07-17 to 1995-09-15 (NCEI Accession 9800037) NOAA_NCEI STAC Catalog 1995-07-17 1995-09-15 57.2998, 9.9113, 68.751, 22.527 https://cmr.earthdata.nasa.gov/search/concepts/C2089385946-NOAA_NCEI.umm_json Chemical, temperature, pressure, and salinity data were collected using bottle and CTD casts from the R/V Thomas G. Thompson in the Arabian Sea. Data were collected from July 17, 1995 to September 15, 1995. Data were collected by four different institution; Old Dominion University, Bermuda Biological Station for Research, Virginia Institute of Marine Science, and Woods Hole Oceanographic Institution as part of the Joint Global Ocean Flux Study / Arabian Sea Process Studies (JGOFS/Arabian) project. proprietary
gov.noaa.nodc:9800052_Not Applicable BENTHIC SPECIES and Other Data from UNKNOWN and Other Platforms from 1989-01-01 to 1997-12-31 (NCEI Accession 9800052) NOAA_NCEI STAC Catalog 1989-01-01 1997-12-31 -123.6, 47.1, -122.4, 49 https://cmr.earthdata.nasa.gov/search/concepts/C2089386070-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:9800085_Not Applicable AIR PRESSURE and Other Data from THOMAS G. THOMPSON from 1995-01-09 to 1995-12-28 (NCEI Accession 9800085) ALL STAC Catalog 1995-01-09 1995-12-28 56.5, 9.9, 68.8, 24.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386309-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9800085_Not Applicable AIR PRESSURE and Other Data from THOMAS G. THOMPSON from 1995-01-09 to 1995-12-28 (NCEI Accession 9800085) NOAA_NCEI STAC Catalog 1995-01-09 1995-12-28 56.5, 9.9, 68.8, 24.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386309-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:9800085_Not Applicable AIR PRESSURE and Other Data from THOMAS G. THOMPSON from 1995-01-09 to 1995-12-28 (NCEI Accession 9800085) ALL STAC Catalog 1995-01-09 1995-12-28 56.5, 9.9, 68.8, 24.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386309-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9800092_Not Applicable BACTERIA - BACTERIAL DENSITY and Other Data from USS CHAUMONT from 1995-01-09 to 1995-12-26 (NCEI Accession 9800092) NOAA_NCEI STAC Catalog 1995-01-09 1995-12-26 57.3, 9.3, 68.8, 22.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386381-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9800095_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1995-01-08 to 1995-09-12 (NCEI Accession 9800095) NOAA_NCEI STAC Catalog 1995-01-08 1995-09-12 57.3, 10, 68.8, 22.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386411-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9800118_Not Applicable Chemical, physical, and other data collected using bottle casts from NOAA Ship DAVID STARR JORDAN, ROGER REVILLE, and NEW HORIZON as part of the California Cooperative Fisheries Investigation from 1996-08-07 to 1997-04-19 (NCEI Accession 9800118) NOAA_NCEI STAC Catalog 1996-08-07 1997-04-19 -124.3, 29.8, -117.3, 35.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386498-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN, ROGER REVILLE, and NEW HORIZON from August 7, 1996 to April 19, 1997. Data were collected using bottle casts in the Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary
gov.noaa.nodc:9800119_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX from 1997-10-10 to 1998-05-14 (NCEI Accession 9800119) NOAA_NCEI STAC Catalog 1997-10-10 1998-05-14 -149.5, 57.8, -147.1, 60.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386507-NOAA_NCEI.umm_json Hydrophysical, hydrochemical, and other data were collected from CTD casts in the Gulf of Alaska from the R/V Alpha Helix from 10 October 1997 to 14 May 1998. Data were collected as part of GLOBal oceans ECosystems Dynamics Research (GLOBEC) project. Data include profiles of temperature, salinity, sigma-theta, deltas, oxygen concentration, and fluorescence. proprietary
-gov.noaa.nodc:9800123_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms from 1988-11-27 to 1998-07-22 (NCEI Accession 9800123) NOAA_NCEI STAC Catalog 1988-11-27 1998-07-22 -124.1, 44.8, -124.1, 44.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386555-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9800123_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms from 1988-11-27 to 1998-07-22 (NCEI Accession 9800123) ALL STAC Catalog 1988-11-27 1998-07-22 -124.1, 44.8, -124.1, 44.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386555-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:9800123_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms from 1988-11-27 to 1998-07-22 (NCEI Accession 9800123) NOAA_NCEI STAC Catalog 1988-11-27 1998-07-22 -124.1, 44.8, -124.1, 44.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386555-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9800129_Not Applicable Chemical, zooplankton, and phytoplankton data from CTD and other instruments in the Mississippi River and Gulf of Mexico as part of the Nutrient Enhanced Coastal Ocean Productivity (NECOP) project, from 1985-07-15 to 1993-05-12 (NCEI Accession 9800129) NOAA_NCEI STAC Catalog 1985-07-15 1993-05-12 -90.28, 28.52, -89.41, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089386593-NOAA_NCEI.umm_json Chemical, zooplankton, and phytoplankton data were collected using bottle, CTD, fluorometer, oxygen meter, GPS, plankton trap, and sediment sampler from NOAA Ship MALCOLM BALDRIGE and NOAA Ship RESEARCHER. Data were collected from the Mississippi River and Gulf of Mexico from July 15, 1985 to May 12, 1993. Data were submitted by Dr. Nancy Rabalais from the Louisiana Universities Marine Consortium as part of the Nutrient Enhanced Coastal Ocean Productivity (NECOP) project. proprietary
gov.noaa.nodc:9800160_Not Applicable Chemical data collected from THOMAS G. THOMPSON using CTD and bottle casts in Arabian Sea from 1995-03-07 to 1995-08-15 (NCEI Accession 9800160) NOAA_NCEI STAC Catalog 1995-03-07 1995-08-15 57, 9, 68, 22 https://cmr.earthdata.nasa.gov/search/concepts/C2089386883-NOAA_NCEI.umm_json Chemical data were collected using CTD and bottle casts in the Arabian Sea from THOMAS G. THOMPSON. Data were collected from 07 March 1995 to 15 August 1995 by Lamont-Doherty Earth Observatory with support from the U.S. Joint Global Ocean Flux Study / Arabian Sea Process Studies (JOGFS/Arabian Sea) project. proprietary
gov.noaa.nodc:9800161_Not Applicable Chemical data collected from THOMAS G. THOMPSON using CTD and bottle casts in Arabian Sea from 1995-01-08 to 1995-11-26 (NCEI Accession 9800161) NOAA_NCEI STAC Catalog 1995-01-08 1995-11-26 56, 9, 68, 23 https://cmr.earthdata.nasa.gov/search/concepts/C2089386911-NOAA_NCEI.umm_json Chemical data were collected using CTD and bottle casts in the Arabian Sea from THOMAS G. THOMPSON. Data were collected from 08 January 1995 to 26 November 1995 by Harvard University with support from the U.S. Joint Global Ocean Flux Study / Arabian Sea Process Studies (JOGFS/Arabian Sea) project. proprietary
-gov.noaa.nodc:9800197_Not Applicable Algal species and other data collected using photographs in the southern coast of the island of Ofu from 1992-09-08 to 1992-09-11 (NCEI Accession 9800197) NOAA_NCEI STAC Catalog 1992-09-08 1992-09-11 -169.7, -14.2, -169.7, -14.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387161-NOAA_NCEI.umm_json The US Congress has authorized the Department of the Interior to enter into a lease agreement with the Governor of American Samoa to establish the National Park of American Samoa. This park would include a nearshore reef along the southern coast of the island of Ofu. This fringing reef on Ofu provides a natural lagoon habitat which is uncommon in American Samoa. This area supports a local subsistence fishery and provides excellent opportunities for diving and snorkeling. A survey of the nearshore reefs in the area of the proposed national park at Ofu was conducted between 7-12 September, 1992. The goals of the survey were to: 1) collect baseline data on the current status of the reefs and reef resources in the area, 2) to establish long-term monitoring stations to enable documentation of the health of the reef communities through time, and 3) to contribute information to a comprehensive coastal resource survey of Tutuila and the Manua Islands. The overall purpose of the work was to design and implement the biotic component of a reef monitoring program for the areas within and adjacent to the proposed national park site. proprietary
gov.noaa.nodc:9800197_Not Applicable Algal species and other data collected using photographs in the southern coast of the island of Ofu from 1992-09-08 to 1992-09-11 (NCEI Accession 9800197) ALL STAC Catalog 1992-09-08 1992-09-11 -169.7, -14.2, -169.7, -14.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387161-NOAA_NCEI.umm_json The US Congress has authorized the Department of the Interior to enter into a lease agreement with the Governor of American Samoa to establish the National Park of American Samoa. This park would include a nearshore reef along the southern coast of the island of Ofu. This fringing reef on Ofu provides a natural lagoon habitat which is uncommon in American Samoa. This area supports a local subsistence fishery and provides excellent opportunities for diving and snorkeling. A survey of the nearshore reefs in the area of the proposed national park at Ofu was conducted between 7-12 September, 1992. The goals of the survey were to: 1) collect baseline data on the current status of the reefs and reef resources in the area, 2) to establish long-term monitoring stations to enable documentation of the health of the reef communities through time, and 3) to contribute information to a comprehensive coastal resource survey of Tutuila and the Manua Islands. The overall purpose of the work was to design and implement the biotic component of a reef monitoring program for the areas within and adjacent to the proposed national park site. proprietary
+gov.noaa.nodc:9800197_Not Applicable Algal species and other data collected using photographs in the southern coast of the island of Ofu from 1992-09-08 to 1992-09-11 (NCEI Accession 9800197) NOAA_NCEI STAC Catalog 1992-09-08 1992-09-11 -169.7, -14.2, -169.7, -14.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387161-NOAA_NCEI.umm_json The US Congress has authorized the Department of the Interior to enter into a lease agreement with the Governor of American Samoa to establish the National Park of American Samoa. This park would include a nearshore reef along the southern coast of the island of Ofu. This fringing reef on Ofu provides a natural lagoon habitat which is uncommon in American Samoa. This area supports a local subsistence fishery and provides excellent opportunities for diving and snorkeling. A survey of the nearshore reefs in the area of the proposed national park at Ofu was conducted between 7-12 September, 1992. The goals of the survey were to: 1) collect baseline data on the current status of the reefs and reef resources in the area, 2) to establish long-term monitoring stations to enable documentation of the health of the reef communities through time, and 3) to contribute information to a comprehensive coastal resource survey of Tutuila and the Manua Islands. The overall purpose of the work was to design and implement the biotic component of a reef monitoring program for the areas within and adjacent to the proposed national park site. proprietary
gov.noaa.nodc:9800199_Not Applicable BACTERIA - BACTERIAL DENSITY and Other Data from HERMANO GINES from 1996-07-09 to 1997-07-09 (NCEI Accession 9800199) NOAA_NCEI STAC Catalog 1996-07-09 1997-07-09 -64.7, 10.5, -64.7, 10.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387176-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9900010_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON From Arabian Sea from 1995-03-18 to 1997-08-13 (NCEI Accession 9900010) NOAA_NCEI STAC Catalog 1995-03-18 1997-08-13 56.5, 10, 68.8, 24.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089387251-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9900014_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON From Arabian Sea from 1995-01-09 to 1995-09-12 (NCEI Accession 9900014) NOAA_NCEI STAC Catalog 1995-01-09 1995-09-12 57.3, 10, 68.8, 22.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387273-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9900015_Not Applicable CARBON DIOXIDE - PARTIAL PRESSURE (pCO2) - SEA and Other Data from NOAA Ship DISCOVERER and Other Platforms from 1987-05-19 to 1994-01-07 (NCEI Accession 9900015) NOAA_NCEI STAC Catalog 1987-05-19 1994-01-07 -179.9, -70.3, 179.9, 54.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089387289-NOAA_NCEI.umm_json Not provided proprietary
-gov.noaa.nodc:9900022_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms from 1998-08-01 to 1998-12-31 (NCEI Accession 9900022) ALL STAC Catalog 1998-08-01 1998-12-31 -124.1, 44.6, -124, 44.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387361-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9900022_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms from 1998-08-01 to 1998-12-31 (NCEI Accession 9900022) NOAA_NCEI STAC Catalog 1998-08-01 1998-12-31 -124.1, 44.6, -124, 44.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387361-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:9900022_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms from 1998-08-01 to 1998-12-31 (NCEI Accession 9900022) ALL STAC Catalog 1998-08-01 1998-12-31 -124.1, 44.6, -124, 44.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387361-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9900054_Not Applicable Algal species and other data collected using photographs in the South Pacific Ocean from 1992-01-02 to 1992-12-31 (NCEI Accession 9900054) ALL STAC Catalog 1992-01-02 1992-12-31 -170.8, -14.4, -170.6, -14.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089387610-NOAA_NCEI.umm_json Data from a 1992 survey of the American Samoa coral reef ecosystem was received from Dr. Barry Smith of the University of Guam. The digital files replace a paper report submitted to NODC in Fall 1998. This study was part of the American Samoa Coastal Resources Inventory (ASCRI), partly funded by Sea Grant. His component of the study focuses on a systematic inventory of conspicuous marine macro-invertebrates observations. proprietary
gov.noaa.nodc:9900054_Not Applicable Algal species and other data collected using photographs in the South Pacific Ocean from 1992-01-02 to 1992-12-31 (NCEI Accession 9900054) NOAA_NCEI STAC Catalog 1992-01-02 1992-12-31 -170.8, -14.4, -170.6, -14.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089387610-NOAA_NCEI.umm_json Data from a 1992 survey of the American Samoa coral reef ecosystem was received from Dr. Barry Smith of the University of Guam. The digital files replace a paper report submitted to NODC in Fall 1998. This study was part of the American Samoa Coastal Resources Inventory (ASCRI), partly funded by Sea Grant. His component of the study focuses on a systematic inventory of conspicuous marine macro-invertebrates observations. proprietary
-gov.noaa.nodc:9900094_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM from 1999-01-01 to 1999-04-29 (NCEI Accession 9900094) NOAA_NCEI STAC Catalog 1999-01-01 1999-04-29 -124, 44.6, -124, 44.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089387865-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9900094_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM from 1999-01-01 to 1999-04-29 (NCEI Accession 9900094) ALL STAC Catalog 1999-01-01 1999-04-29 -124, 44.6, -124, 44.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089387865-NOAA_NCEI.umm_json Not provided proprietary
+gov.noaa.nodc:9900094_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM from 1999-01-01 to 1999-04-29 (NCEI Accession 9900094) NOAA_NCEI STAC Catalog 1999-01-01 1999-04-29 -124, 44.6, -124, 44.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089387865-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9900119_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM from 1999-05-01 to 1999-06-30 (NCEI Accession 9900119) ALL STAC Catalog 1999-05-01 1999-06-30 -124, 44.6, -124, 44.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089388259-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9900119_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM from 1999-05-01 to 1999-06-30 (NCEI Accession 9900119) NOAA_NCEI STAC Catalog 1999-05-01 1999-06-30 -124, 44.6, -124, 44.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089388259-NOAA_NCEI.umm_json Not provided proprietary
gov.noaa.nodc:9900158_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from OCEANUS and Other Platforms from 1993-03-12 to 1993-03-23 (NCEI Accession 9900158) NOAA_NCEI STAC Catalog 1993-03-12 1993-03-23 -67.2, 31.7, -64.1, 36.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089388472-NOAA_NCEI.umm_json Not provided proprietary
@@ -19688,8 +19690,8 @@ inishell-2-0-4_2.0.4 Inishell-2.0.4 ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5
inpe_CPTEC_GLOBAl_FORECAST Global Meteorological Model Analysis and Forecast Images (INPE/CPTEC) CEOS_EXTRA STAC Catalog 1970-01-01 -120, -60, 0, 30 https://cmr.earthdata.nasa.gov/search/concepts/C2227456094-CEOS_EXTRA.umm_json "CPTEC offers global model analysis and forecast images for twelve meteorological parameters. Forecast time steps range from the initial analysis each day out to six days. The user may choose forecasts from the most recent forecast run back to the previous 36 hours. Parameters Forecasted: Mean Sea Level Pressure Temperature at 1000 hPa Relative Humidity at 925 hPa, 850 hPa Vertical p_Velocity at 850 hPa, 500 hPa, 200 hPa Velocity Potential at 925 hPa, 200 hPa Stream Function at 925 hPa, 200 hPa 500/1000 hPa Thickness Advection of Temperature at 925 hPa, 850 hPa, 500 hPa Advection of Vorticity at 925 hPa, 850 hPa, 500 hPa Convergence of Humidity Flux at 925 hPa, 850 hPa Streamlines and Wind Speed at 925 hPa, 850 hPa, 200 hPa Total Precipitation Last 24 Hours All forecast images can be obtained via World Wide Web from the CPTEC Home Page. Link to: ""http://www.cptec.inpe.br/""" proprietary
input-data-for-break-point-detection-of-swiss-snow-depth-time-series_1.0 Input data for break point detection of Swiss snow depth time series ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815138-ENVIDAT.umm_json Data set consists of monthly mean values for snow depth and days with snow on the ground intended for the use of break detection with ACMANT, Climatol and HOMER. List and coordinates of stations used as well as metadata and break detection results from all three methods is included. ## Columns Monthly means for each hydrological year: Nov, Dec, Jan, Feb, Mar, Apr with May to Oct set to zero proprietary
input-data-for-impact-assessment-of-homogenised-snow-series_1.0 Input data for impact assessment of homogenised snow series ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226082287-ENVIDAT.umm_json # Input data for the following research article: Impact assessment of homogenised snow depth series on trends The data consists of separate output files from the following homogenisation methods: * Climatol * HOMER * interpQM The variable is seasonal mean snow depth (HSavg) plot.data is an additional data frame containing trends of HSavg (station, method, value, pvalue, altitude) proprietary
-insects_subsaharanAfrica A Checklist of the Insects of Subsaharan Africa SCIOPS STAC Catalog 2000-01-01 13.68, -35.9, 33.98, -21.27 https://cmr.earthdata.nasa.gov/search/concepts/C1214611706-SCIOPS.umm_json "One of the most basic needs for inventorying, exploiting and monitoring the changes in the insect diversity of Africa is a complete list of species which are already know to occur in Africa. Surprisingly, such a basic list does not exist, despite some 250 years of formal scientific description of life on earth. The International Centre of Insect Physiology and Ecology (ICIPE), along with the National Museum of Natural History, is therefore sponsoring the production of the list, which will provide a reliable platform of 'standard' names for species on which many other projects depend. This list, or authority file, will greatly enhance communication both among scientists and between scientists and users of scientific data. The African list will also be a major contribution toward the proposed list of world species (e.g. the Global Biodiversity Information Facility (GBIF) and Species 2000 initiative of DIVERSITAS). A demonstration database is provided for the species of the orders Odonata (dragonflies and damselflies), Ephemeroptera (mayflies), Plecoptera (stoneflies), Megaloptera (alderflies), Hemiptera-Heteroptera (true bugs), Homoptera (cicadas, leafhoppers, planthoppers, scales, and others), and Trichoptera (caddisflies). Invitation to collaboration: Compilation of the checklist is being coordinated by Nearctica (formerly Entomological Information Specialists), because of their experience with Nomina Insecta Nearctica. We are attempting to collaborate with known specialists as contributors and reviewers, but we welcome additional suggestions of collaborators. Inquires can be directed to Scott Miller (miller.scott@nmnh.si.edu). Information was obtained from ""http://entomology.si.edu/""." proprietary
insects_subsaharanAfrica A Checklist of the Insects of Subsaharan Africa ALL STAC Catalog 2000-01-01 13.68, -35.9, 33.98, -21.27 https://cmr.earthdata.nasa.gov/search/concepts/C1214611706-SCIOPS.umm_json "One of the most basic needs for inventorying, exploiting and monitoring the changes in the insect diversity of Africa is a complete list of species which are already know to occur in Africa. Surprisingly, such a basic list does not exist, despite some 250 years of formal scientific description of life on earth. The International Centre of Insect Physiology and Ecology (ICIPE), along with the National Museum of Natural History, is therefore sponsoring the production of the list, which will provide a reliable platform of 'standard' names for species on which many other projects depend. This list, or authority file, will greatly enhance communication both among scientists and between scientists and users of scientific data. The African list will also be a major contribution toward the proposed list of world species (e.g. the Global Biodiversity Information Facility (GBIF) and Species 2000 initiative of DIVERSITAS). A demonstration database is provided for the species of the orders Odonata (dragonflies and damselflies), Ephemeroptera (mayflies), Plecoptera (stoneflies), Megaloptera (alderflies), Hemiptera-Heteroptera (true bugs), Homoptera (cicadas, leafhoppers, planthoppers, scales, and others), and Trichoptera (caddisflies). Invitation to collaboration: Compilation of the checklist is being coordinated by Nearctica (formerly Entomological Information Specialists), because of their experience with Nomina Insecta Nearctica. We are attempting to collaborate with known specialists as contributors and reviewers, but we welcome additional suggestions of collaborators. Inquires can be directed to Scott Miller (miller.scott@nmnh.si.edu). Information was obtained from ""http://entomology.si.edu/""." proprietary
+insects_subsaharanAfrica A Checklist of the Insects of Subsaharan Africa SCIOPS STAC Catalog 2000-01-01 13.68, -35.9, 33.98, -21.27 https://cmr.earthdata.nasa.gov/search/concepts/C1214611706-SCIOPS.umm_json "One of the most basic needs for inventorying, exploiting and monitoring the changes in the insect diversity of Africa is a complete list of species which are already know to occur in Africa. Surprisingly, such a basic list does not exist, despite some 250 years of formal scientific description of life on earth. The International Centre of Insect Physiology and Ecology (ICIPE), along with the National Museum of Natural History, is therefore sponsoring the production of the list, which will provide a reliable platform of 'standard' names for species on which many other projects depend. This list, or authority file, will greatly enhance communication both among scientists and between scientists and users of scientific data. The African list will also be a major contribution toward the proposed list of world species (e.g. the Global Biodiversity Information Facility (GBIF) and Species 2000 initiative of DIVERSITAS). A demonstration database is provided for the species of the orders Odonata (dragonflies and damselflies), Ephemeroptera (mayflies), Plecoptera (stoneflies), Megaloptera (alderflies), Hemiptera-Heteroptera (true bugs), Homoptera (cicadas, leafhoppers, planthoppers, scales, and others), and Trichoptera (caddisflies). Invitation to collaboration: Compilation of the checklist is being coordinated by Nearctica (formerly Entomological Information Specialists), because of their experience with Nomina Insecta Nearctica. We are attempting to collaborate with known specialists as contributors and reviewers, but we welcome additional suggestions of collaborators. Inquires can be directed to Scott Miller (miller.scott@nmnh.si.edu). Information was obtained from ""http://entomology.si.edu/""." proprietary
instm_trawl National Institute of Marine Sciences and Technologies - Trawling Surveys CEOS_EXTRA STAC Catalog 1983-04-16 2006-11-03 5.14, 17.1, 13.37, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2232477692-CEOS_EXTRA.umm_json The National Institute of Marine Sciences and Technologies (INSTM) fo Tunisia has four laboratories. Regular trawl surveys are done by the Laboratory of Marine Living Resources to assess the exploitable resource stocks. This dataset consists of 7664 records of 90 families. proprietary
intercomparison-of-photogrammetric-platforms_1.0 Photogrammetric snow depth maps from satellite-, airplane-, UAS and terrestrial platforms from the Davos region (Switzerland) ENVIDAT STAC Catalog 2020-01-01 2020-01-01 9.7544861, 46.6485877, 10.0428772, 46.844319 https://cmr.earthdata.nasa.gov/search/concepts/C2789815195-ENVIDAT.umm_json "This data set contains the produced snow depth maps as well as the reference data set (manual and snow pole measurements) from our paper ""Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping"". __Abstract.__ Snow depth has traditionally been estimated based on point measurements collected either manually or at automated weather stations. Point measurements, though, do not represent the high spatial variability of snow depths present in alpine terrain. Photogrammetric mapping techniques have progressed in recent years and are capable of accurately mapping snow depth in a spatially continuous manner, over larger areas, and at various spatial resolutions. However, the strengths and weaknesses associated with specific platforms and photogrammetric techniques, as well as the accuracy of the photogrammetric performance on snow surfaces have not yet been sufficiently investigated. Therefore, industry-standard photogrammetric platforms, including high-resolution satellites (Pléiades), airplane (Ultracam Eagle M3), Unmanned Aerial System (eBee+ with S.O.D.A. camera) and terrestrial (single lens reflex camera, Canon EOS 750D), were tested for snow depth mapping in the alpine Dischma valley (Switzerland) in spring 2018. Imagery was acquired with airborne and space-borne platforms over the entire valley, while Unmanned Aerial Systems (UAS) and terrestrial photogrammetric imagery was acquired over a subset of the valley. For independent validation of the photogrammetric products, snow depth was measured by probing, as well as using remote observations of fixed snow poles. When comparing snow depth maps with manual and snow pole measurements the root mean square error (RMSE) values and the normalized median deviation (NMAD) values were 0.52 m and 0.47 m respectively for the satellite snow depth map, 0.17 m and 0.17 m for the airplane snow depth map, 0.16 m and 0.11 m for the UAS snow depth map. The area covered by the terrestrial snow depth map only intersected with 4 manual measurements and did not generate statistically relevant measurements. When using the UAS snow depth map as a reference surface, the RMSE and NMAD values were 0.44 m and 0.38 m for the satellite snow depth map, 0.12 m and 0.11 m for the airplane snow depth map, 0.21 and 0.19 m for the terrestrial snow depth map. When compared to the airplane dataset over a large part of the Dischma valley (40 km2), the snow depth map from the satellite yielded a RMSE value of 0.92 m and a NMAD value of 0.65 m. This study provides comparative measurements between photogrammetric platforms to evaluate their specific advantages and disadvantages for operational, spatially continuous snow depth mapping in alpine terrain over both small and large geographic areas." proprietary
interview-guide-and-transcripts_1.0 Interview guide and transcripts (CONCUR Aim 2 on Governance) ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815227-ENVIDAT.umm_json This dataset is composed of an interview guide used to conduct 43 in-depth, qualitative, and in-person interviews with planning experts, academics and practitioners, in 14 European urban regions and the corresponding interview transcripts (verbatim). These interviews were conducted in the selected urban regions between March and September 2016. They were first digitally recorded and later thoroughly transcribed. proprietary
@@ -19768,8 +19770,8 @@ labchemistrymetamorphism_1.0 Data set on bromide oxidation by ozone in snow duri
labes_1.0 LABES 2 Indicators of the Swiss Landscape Monitoring Program ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226082114-ENVIDAT.umm_json The Swiss Landscape Monitoring Program (LABES) records both the physical and the perceived quality of the landscape with about 30 indicators. The surveys of the physical aspects are largely based on evaluations of data available throughout Switzerland from swisstopo and the Federal Statistical Office (FSO). Another significant part of the data comes from a nationwide population survey on landscape perception. This dataset describes data that have been assembled in the 2020 update of the Swiss Landscape Monitoring Program LABES. proprietary
lai_45_1 Leaf Area Index Data (OTTER) ORNL_CLOUD STAC Catalog 1991-05-13 1991-05-15 -123.27, 44.29, -121.33, 44.67 https://cmr.earthdata.nasa.gov/search/concepts/C2804754747-ORNL_CLOUD.umm_json LAI estimates computed from unweighted openness by the CANOPY program from digitized canopy photographs proprietary
lake_cc_scenarios_ch2018_1.0 Lake climate change scenarios CH2018 ENVIDAT STAC Catalog 2023-01-01 2023-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226082136-ENVIDAT.umm_json "The dataset ""Lake_climate_change_scenarios_CH2018"" provides simulation-based climate change impact scenarios for perialpine lakes in Switzerland. These transient future scenarios were produced by combining the hydrologic model PREVAH with the hydrodynamic model MIKE11 to simulate daily lake water level (Lake_water_level_scenarios_CH2018.xls) and outflow scenarios (Lake_outflow_scenarios_CH2018.xls) from 1981 to 2099, using the Swiss Climate Change Scenarios CH2018. The future scenarios contain a total of 39 model members for three Representative Concentration Pathways, RCP2.6 (concerted mitigation efforts), RCP4.5 (limited climate mitigation) and RCP8.5 (no climate mitigation measures). These scenarios result from the study titled ""Lower summer lake levels in regulated perialpine lakes, caused by climate change,"" authored by Wechsler et al. in 2023. The dataset emphasizes four specific Swiss lakes, each subject to different degrees of lake level management: an unregulated lake (Lake Walen), a semi-regulated lake (Lake Brienz), and two regulated lakes (Lake Zurich and Lake Thun). In addition, the file (Lake_characteristics.xlsx) includes data used in the modeling process, encompassing the stage-area relation for the four lakes, stage-discharge relations for the unregulated and semi-regulated lakes, and lake level management rules for the two regulated lakes." proprietary
-lake_erie_aug_2014_0 2014 Lake Erie measurements ALL STAC Catalog 2014-08-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360418-OB_DAAC.umm_json 2014 Lake Erie measurements. proprietary
lake_erie_aug_2014_0 2014 Lake Erie measurements OB_DAAC STAC Catalog 2014-08-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360418-OB_DAAC.umm_json 2014 Lake Erie measurements. proprietary
+lake_erie_aug_2014_0 2014 Lake Erie measurements ALL STAC Catalog 2014-08-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360418-OB_DAAC.umm_json 2014 Lake Erie measurements. proprietary
lambert_geology_gis_1 Geology of the Lambert Glacier - Prydz Bay Region GIS Dataset AU_AADC STAC Catalog 1980-01-01 1997-12-31 58, -76, 78, -67 https://cmr.earthdata.nasa.gov/search/concepts/C1214313571-AU_AADC.umm_json This dataset is the GIS data used for the map 'Geology of the Lambert Glacier - Prydz Bay Region, East Antarctica' published by the Australian Geological Survey Organisation in January 1998. The data is in three formats: ArcInfo interchange, ArcInfo coverage and shapefile. A document is included with further information about the data. The map is available from a URL in this metadata record. proprietary
land-use-cover-dynamics-in-austin-metropolitan-area-since-1992_1.0 Land use/cover dynamics in Austin metropolitan area since 1992 ENVIDAT STAC Catalog 2022-01-01 2022-01-01 -97.7014167, 30.3732703, -97.7014167, 30.3732703 https://cmr.earthdata.nasa.gov/search/concepts/C2789815150-ENVIDAT.umm_json The present dataset is part of the published scientific paper Zhao C, Weng Q, Hersperger A M. Characterizing the 3-D urban morphology transformation to understand urban-form dynamics: a case study of Austin, Texas, USA. Landscape and urban planning, 2020, 203:103881. The overall objective of this paper is to understand urban form dynamics in the Austin metropolitan area for the periods 2006–2011 and 2011–2016. The study also aims to understand to what extent the changes in the built environment (in terms of ‘efficient growth’ versus ‘inefficient growth’) from the 1990s to 2016 in the Austin metropolitan area corresponded with ‘compact and efficient growth’ planning policy documents. The UMT distribution can be found in the paper. The area of transitioning UMT was provided in Table 2 and Table 3 can be found in the Appendix of the paper. A protocol was developed to perform the content analysis of the strategic plans and gather the data. The detailed list of protocol items can be found in Appendix B of the paper. This study demonstrates the advantage of applying Lidar data to characterize 3-D urban morphology type (UMT) transition and understand its dynamics, which helps develop a comprehensive understanding of the urbanization process and provides a tool for planning intentions and policies evaluation on urban development over time. The UMT maps can be found in Appendix A of the paper. The Lidar point datasets and the 30 × 30 m National Land Cover Database (NLCD) are the two main data sources of UMT mapping. Lidar datasets were gathered from different projects that had been conducted and collected by state agencies and other organizations between 2007 and 2017. Table A1 in the appendix in the paper shows the accuracies and acquisition parameters of the Lidar projects from 2007 to 2017. Land use/cover dynamics in Austin metropolitan area dataset provides Land use/cover patterns in the years 1992, 2001, 2004, 2006, 2008, 2011, 2013, 2016 with a spatial resolution of 30 meters. Since NLCD 1992 used a different classification system for the urban land classes, we first reclassified the NLCD 1992 using a customized Arcpy package. proprietary
land_cover_data-1km_627_1 SAFARI 2000 Land Cover from AVHRR, 1-km, 1992-1993 (Hansen et al.) ORNL_CLOUD STAC Catalog 1992-01-01 1993-12-31 5, -35, 60, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2788343294-ORNL_CLOUD.umm_json This data set consists of a southern African subset of the 1-km Global Land Cover Data Set Derived from AVHRR developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. Both ASCII data and binary image files are available. proprietary
@@ -19800,8 +19802,8 @@ larval-food-composition-of-four-wild-bee-species-in-five-european-cities_1.0 Lar
latent-reserves-in-the-swiss-nfi_1.0 'Latent reserves' within the Swiss NFI ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815280-ENVIDAT.umm_json "The files refer to the data used in Portier et al. ""‘Latent reserves’: a hidden treasure in National Forest Inventories"" (2020) *Journal of Ecology*. **'Latent reserves'** are defined as plots in National Forest Inventories (NFI) that have been free of human influence for >40 to >70 years. They can be used to investigate and acquire a deeper understanding of attributes and processes of near-natural forests using existing long-term data. To determine which NFI sample plots could be considered ‘latent reserves’, criteria were defined based on the information available in the Swiss NFI database: * Shrub forests were excluded. * Plots must have been free of any kind of management, including salvage logging or sanitary cuts, for a minimum amount of time. Thresholds of 40, 50, 60 and 70 years without intervention were tested. * To ensure that species composition was not influenced by past management, plots where potential vegetation was classified as deciduous by Ellenberg & Klötzli (1972) had to have an observed proportion of deciduous trees matching the theoretical proportion expected in a natural deciduous forest, as defined by Kienast, Brzeziecki, & Wildi (1994). * Plots had to originate from natural regeneration. * Intensive livestock grazing must never have occurred on the plots. The tables stored here were derived from the first, second and third campaigns of the Swiss NFI. The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php). **** The files 'Data figure 2' to 'Data figure 8' are publicly available and contain the data used to produce the figures published in the paper. The files 'Plot-level data for characterisation of 'latent reserves' and 'Tree-level data for characterisation of 'latent reserves' contain all the data required to reproduce the section of the article concerning the characterisation of 'latent reserves' and the comparison to managed forests. The file 'Data for mortality analyses' contains the data required to reproduce the section of the article concerning tree mortality in 'latent reserves'. The access to these three files is restricted as they contain some raw data from the Swiss NFI, submitted to the Swiss law and only accessible upon contractual agreement." proprietary
latent-reserves-in-the-swiss-nfi_1.0 'Latent reserves' within the Swiss NFI ALL STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815280-ENVIDAT.umm_json "The files refer to the data used in Portier et al. ""‘Latent reserves’: a hidden treasure in National Forest Inventories"" (2020) *Journal of Ecology*. **'Latent reserves'** are defined as plots in National Forest Inventories (NFI) that have been free of human influence for >40 to >70 years. They can be used to investigate and acquire a deeper understanding of attributes and processes of near-natural forests using existing long-term data. To determine which NFI sample plots could be considered ‘latent reserves’, criteria were defined based on the information available in the Swiss NFI database: * Shrub forests were excluded. * Plots must have been free of any kind of management, including salvage logging or sanitary cuts, for a minimum amount of time. Thresholds of 40, 50, 60 and 70 years without intervention were tested. * To ensure that species composition was not influenced by past management, plots where potential vegetation was classified as deciduous by Ellenberg & Klötzli (1972) had to have an observed proportion of deciduous trees matching the theoretical proportion expected in a natural deciduous forest, as defined by Kienast, Brzeziecki, & Wildi (1994). * Plots had to originate from natural regeneration. * Intensive livestock grazing must never have occurred on the plots. The tables stored here were derived from the first, second and third campaigns of the Swiss NFI. The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php). **** The files 'Data figure 2' to 'Data figure 8' are publicly available and contain the data used to produce the figures published in the paper. The files 'Plot-level data for characterisation of 'latent reserves' and 'Tree-level data for characterisation of 'latent reserves' contain all the data required to reproduce the section of the article concerning the characterisation of 'latent reserves' and the comparison to managed forests. The file 'Data for mortality analyses' contains the data required to reproduce the section of the article concerning tree mortality in 'latent reserves'. The access to these three files is restricted as they contain some raw data from the Swiss NFI, submitted to the Swiss law and only accessible upon contractual agreement." proprietary
law_dome_1977_1 Law Dome Field Logs And Strain Grid Results, 1977 AU_AADC STAC Catalog 1977-03-16 1977-12-14 110, -70, 114, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214311164-AU_AADC.umm_json In 1977 several traverses were carried out over the Law Dome area, primarily to drill new ice cores on the dome. The 1974 drill site (near Cape Folger) was redrilled to add instrumentation for inclination, while additional holes at BHQ (418m) and the dome summit (475m, 2x 30m) were also drilled. In addition to the drilling work, two strain grids were laid out on the ice surface, and the grid laid out in 1974 was remeasured. Notes on the traverse and drilling (but few results) are contained in this record, along with the results of the strain grid surveys. Records for this work have been archived at the Australian Antarctic Division. Logbook(s): Glaciology Log of 1977 Field Work proprietary
-law_dome_700yr_ion_chem_2 700 Years of Ice Core Major Ion Chemistry Data from Law Dome, Antarctica ALL STAC Catalog 1988-01-01 2000-03-06 112.8, -66.76, 112.86, -66.7 https://cmr.earthdata.nasa.gov/search/concepts/C1214313592-AU_AADC.umm_json A compilation of 700 years of Law Dome major ion chemistry data, recorded from 3 ice cores; DSS97, DSS99, DSS main. This work was completed as part of ASAC project 757 (ASAC_757). Species which have been the subject of publication and could be made available after consultation: Species, Period (AD), Resolution, Comments SO4, 1301-1995, Fine (full) NO3, 1888-1995, Fine (full), full 700 year annuals used by Mayewski solar-polar paper in preparation (Ca,K,Mg,Na,NO3,SO4,Cl), 1301-1995, Annual MSA, 1841-1995, Annual Na, 1301-1995, Fine (full) Na, 1301-1995, Annual non-sea-salt SO4 (nss SO4), 1301-1995, Annual, Uses a calculated SO4 fractionation % to correct the seawater ratio (due to fractionation at the source). Corrected ratio 0.087 (using uEq/L). There are still 'negative' values and some zero's - this data has not been 'cleaned'. If you need to use this, please contact Mark Curran for help. An updated copy of this dataset was submitted to the Australian Antarctic Data Centre in early July of 2012. proprietary
law_dome_700yr_ion_chem_2 700 Years of Ice Core Major Ion Chemistry Data from Law Dome, Antarctica AU_AADC STAC Catalog 1988-01-01 2000-03-06 112.8, -66.76, 112.86, -66.7 https://cmr.earthdata.nasa.gov/search/concepts/C1214313592-AU_AADC.umm_json A compilation of 700 years of Law Dome major ion chemistry data, recorded from 3 ice cores; DSS97, DSS99, DSS main. This work was completed as part of ASAC project 757 (ASAC_757). Species which have been the subject of publication and could be made available after consultation: Species, Period (AD), Resolution, Comments SO4, 1301-1995, Fine (full) NO3, 1888-1995, Fine (full), full 700 year annuals used by Mayewski solar-polar paper in preparation (Ca,K,Mg,Na,NO3,SO4,Cl), 1301-1995, Annual MSA, 1841-1995, Annual Na, 1301-1995, Fine (full) Na, 1301-1995, Annual non-sea-salt SO4 (nss SO4), 1301-1995, Annual, Uses a calculated SO4 fractionation % to correct the seawater ratio (due to fractionation at the source). Corrected ratio 0.087 (using uEq/L). There are still 'negative' values and some zero's - this data has not been 'cleaned'. If you need to use this, please contact Mark Curran for help. An updated copy of this dataset was submitted to the Australian Antarctic Data Centre in early July of 2012. proprietary
+law_dome_700yr_ion_chem_2 700 Years of Ice Core Major Ion Chemistry Data from Law Dome, Antarctica ALL STAC Catalog 1988-01-01 2000-03-06 112.8, -66.76, 112.86, -66.7 https://cmr.earthdata.nasa.gov/search/concepts/C1214313592-AU_AADC.umm_json A compilation of 700 years of Law Dome major ion chemistry data, recorded from 3 ice cores; DSS97, DSS99, DSS main. This work was completed as part of ASAC project 757 (ASAC_757). Species which have been the subject of publication and could be made available after consultation: Species, Period (AD), Resolution, Comments SO4, 1301-1995, Fine (full) NO3, 1888-1995, Fine (full), full 700 year annuals used by Mayewski solar-polar paper in preparation (Ca,K,Mg,Na,NO3,SO4,Cl), 1301-1995, Annual MSA, 1841-1995, Annual Na, 1301-1995, Fine (full) Na, 1301-1995, Annual non-sea-salt SO4 (nss SO4), 1301-1995, Annual, Uses a calculated SO4 fractionation % to correct the seawater ratio (due to fractionation at the source). Corrected ratio 0.087 (using uEq/L). There are still 'negative' values and some zero's - this data has not been 'cleaned'. If you need to use this, please contact Mark Curran for help. An updated copy of this dataset was submitted to the Australian Antarctic Data Centre in early July of 2012. proprietary
law_dome_700yr_na_1 700 Year Record of Winter Sodium Concentrations (May June July averages) from Law Dome ALL STAC Catalog 1301-01-01 1995-12-31 112.806946, -66.76972, 112.806946, -66.76972 https://cmr.earthdata.nasa.gov/search/concepts/C1214311149-AU_AADC.umm_json This file is a 700 year record of winter sodium concentrations (May June July averages) from Law Dome. This was calculated by dividing each annual cycle into 12 even time bins (nominally months) and taking the average concentrations for bins 5, 6 and 7 (nominally May, june and July). More detail can be found in the publication listed below. For further information regarding this data set please contact Mark Curran at the address below. proprietary
law_dome_700yr_na_1 700 Year Record of Winter Sodium Concentrations (May June July averages) from Law Dome AU_AADC STAC Catalog 1301-01-01 1995-12-31 112.806946, -66.76972, 112.806946, -66.76972 https://cmr.earthdata.nasa.gov/search/concepts/C1214311149-AU_AADC.umm_json This file is a 700 year record of winter sodium concentrations (May June July averages) from Law Dome. This was calculated by dividing each annual cycle into 12 even time bins (nominally months) and taking the average concentrations for bins 5, 6 and 7 (nominally May, june and July). More detail can be found in the publication listed below. For further information regarding this data set please contact Mark Curran at the address below. proprietary
law_dome_gravity_1964_1968_1 Gravity Measurements on Law Dome, 1964-1968 AU_AADC STAC Catalog 1964-01-01 1968-12-31 110, -68, 115, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214311151-AU_AADC.umm_json A compilation of gravity measurements taken on Law Dome from 1964-1968. The hard copy of this document has been archived in the Australian Antarctic Division Records Store. proprietary
@@ -19812,8 +19814,8 @@ law_dome_met_obs_1981_1 Meteorological Observations, Winter Traverses, Law Dome
law_dome_wilkes_land_1984_1 Law Dome/Wilkes Land Traverse Data 1984 AU_AADC STAC Catalog 1984-01-01 1984-12-31 108, -74, 115, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214311153-AU_AADC.umm_json Raw logs for snow accumulation, snow density, gravity and snow pit stratigraphy recorded during 1984 traverse season on Law Dome/Wilkes Land. Copies of these documents have been archived in the records store of the Australian Antarctic Division. proprietary
lawdome_1968_season_1 Field and traverse data, Law Dome, 1968 AU_AADC STAC Catalog 1968-01-01 1968-12-31 110, -68, 115, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214313593-AU_AADC.umm_json Notes and data observations from field work out of Casey in the 1968 season. Includes data on gravity, accumulation, strain grid measurements, ice core density measurements, levelling, met obs, and echo sounding results. proprietary
lawdome_1970_1 Glaciology and geophysical survey of Law Dome, 1970 AU_AADC STAC Catalog 1970-01-01 1970-12-31 110, -68, 115, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1291724265-AU_AADC.umm_json Log books (2) from the 1970 traverses on Law Dome, recording barometric pressure, air temperature, magnetic fields and gravity. Physical copies of these documents have been stored in the Australian Antarctic Division records store. proprietary
-lawdome_1979_field_data_1 Accumulation, Air Temperature, Barometric Pressure and Magnetic Readings from Law Dome and Wilkes Land, 1979 ALL STAC Catalog 1979-01-01 1979-12-31 110, -68, 115, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214311166-AU_AADC.umm_json A collection of observations made during the Autumn-Spring 1979 traverses on Law Dome and Wilkes Land. Measurements include accumulation, air temperature, barometric pressure, and magnetic field strength. The data is recorded in four log books and a set of loose pages. Physical copies of these documents have been stored in the Australian Antarctic Division records store. proprietary
lawdome_1979_field_data_1 Accumulation, Air Temperature, Barometric Pressure and Magnetic Readings from Law Dome and Wilkes Land, 1979 AU_AADC STAC Catalog 1979-01-01 1979-12-31 110, -68, 115, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214311166-AU_AADC.umm_json A collection of observations made during the Autumn-Spring 1979 traverses on Law Dome and Wilkes Land. Measurements include accumulation, air temperature, barometric pressure, and magnetic field strength. The data is recorded in four log books and a set of loose pages. Physical copies of these documents have been stored in the Australian Antarctic Division records store. proprietary
+lawdome_1979_field_data_1 Accumulation, Air Temperature, Barometric Pressure and Magnetic Readings from Law Dome and Wilkes Land, 1979 ALL STAC Catalog 1979-01-01 1979-12-31 110, -68, 115, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214311166-AU_AADC.umm_json A collection of observations made during the Autumn-Spring 1979 traverses on Law Dome and Wilkes Land. Measurements include accumulation, air temperature, barometric pressure, and magnetic field strength. The data is recorded in four log books and a set of loose pages. Physical copies of these documents have been stored in the Australian Antarctic Division records store. proprietary
lawdome_1981_traverse_1 Law Dome and Wilkes Land Traverse Logbooks, 1981 AU_AADC STAC Catalog 1981-01-01 1981-12-31 110, -70, 115, -67 https://cmr.earthdata.nasa.gov/search/concepts/C1214311154-AU_AADC.umm_json Log books for the traverse work carried out on Law Dome and Wilkes Land in 1981. Information recorded includes snow cane accumulation readings, barometric pressure, gravity, temperature, wind, and some oxygen isotope results. Copies of these documents have been archived in the records store of the Australian Antarctic Division. proprietary
lawdome_borehole_temp_1987_1 Ice Core Borehole Temperatures, Law Dome 1987 AU_AADC STAC Catalog 1987-01-01 1987-12-31 110.52246, -66.58461, 111.5332, -66.05511 https://cmr.earthdata.nasa.gov/search/concepts/C1214311167-AU_AADC.umm_json A compilation of temperature measurements taken from ice core boreholes on Law Dome in the 1987 season. Includes detailed notes on measuring methodology, and papers on the interpretation of results from the specific equipment used to record the temperatures, as well as calibration work done. A text file of blended borehole temperature readings for the Law Dome DSS (Dome Summit South) site is available for download. A copy of the referenced publication is available to AAD staff. van Ommen, T. D., V. I. Morgan, T. H. Jacka, S. Woon and A. Elcheikh (1999) Near-surface temperatures in the Dome Summit South (Law Dome, East Antarctica) borehole Annals of Glaciology, 29. 141-144. Physical copies of these documents have been stored in the Australian Antarctic Division records store. proprietary
lawdome_gravity_1973_74_1 Law Dome Gravity Readings, 1973-1974 AU_AADC STAC Catalog 1973-01-10 1974-02-22 110, -68, 115, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214313573-AU_AADC.umm_json Gravity readings on Law Dome for the International Global Aerosol Programme (IGAP) during the 1973/1974 season. The Casey 1973 wintering team included physicists Lyle H Supp (Arizona, USA) and Ian Lawrence McIntosh, who were possibly involved in the collection of these data. The Casey 1974 wintering team included the physicist Gregory Ross Howarth, who may also have been involved. Two geodesists from the US, DL Schneider and HL Edwards were also present, and may also have been involved. These documents are only available in hard copy, and have been archived by the Australian Antarctic Division. proprietary
@@ -19936,8 +19938,8 @@ macquarie_aws_1 Automatic Weather Station Data from Macquarie Island AU_AADC STA
macquarie_heli_zone_1 Macquarie Island Helicopter Exclusion Zone AU_AADC STAC Catalog 2005-01-01 2005-01-24 158.75, -54.8, 158.97, -54.46 https://cmr.earthdata.nasa.gov/search/concepts/C1214313628-AU_AADC.umm_json The Macquarie Island Helicopter Exclusion Zone was created in January 2005 in consultation with Peter Cusick, Parks and Wildlife Service, Tasmania. The zone was created by buffering the coastline by 1 km on the seaward side of the island, generally following the escarpment on the interior of the island and buffering the refuges by 200 m to create an approximately 400 m wide corridor to the refuges. Access corridors were also created at the station. The Australian Antarctic Data Centre's topographic data representing coastline, escarpment and refuges was used. In March 2007 the zone was modifed in consultation with Terry Reid, Parks and Wildlife Service, Tasmania. The corridors to the refuges were extended through to the escarpment. The Helicopter Exclusion Zone is shown in a map of the island (see link below). proprietary
macquarie_quickbird_mapping_1 Macquarie Island mapping from Quickbird satellite imagery. AU_AADC STAC Catalog 2003-02-25 2003-06-20 158.85, -54.56, 158.94, -54.49 https://cmr.earthdata.nasa.gov/search/concepts/C1214313631-AU_AADC.umm_json Features of a northwest part of Macquarie Island mapped from mosaiced pan sharpened Quickbird satellite imagery derived from Quickbird satellite imagery captured on 25 February 2003. The mapped features are coastline, walking tracks and the edge of vegetation. proprietary
macquarie_sma_gis_1 Macquarie Island Special Management Areas AU_AADC STAC Catalog 2003-11-01 2003-11-30 158.77, -54.78, 158.95, -54.49 https://cmr.earthdata.nasa.gov/search/concepts/C1214313610-AU_AADC.umm_json Macquarie Island Nature Reserve Special Management Areas were originally defined for 2003/04 and have since been updated. Special Management areas are declared from year to year to protect vulnerable species, vegetation communities or sites extremely vulnerable to human disturbance. Related URLs provide: 1 the download of a shapefile with the boundaries of the Special Management Areas; and 2 a link to the website of Parks and Wildlife Service, Tasmania with information about the Special Management Areas. proprietary
-macquarie_taspaws_grid_1 A grid system used by the Parks and Wildlife Service, Tasmania, for Macquarie Island, 1974 to June 2001 ALL STAC Catalog 1974-01-01 2001-06-02 158.7322, -54.8011, 158.9781, -54.4714 https://cmr.earthdata.nasa.gov/search/concepts/C1214313536-AU_AADC.umm_json "This metadata record describes a grid system for Macquarie Island formerly used by the Parks and Wildlife Service, Tasmania. The grid was first adopted by Irynej Skira in 1974 and was based on the 1:50000 scale map of the island published by Australia's Division of National Mapping in 1971. Data was continually recorded on this system up to June 2001 when the Universal Transverse Mercator (UTM) grid was adopted. The dataset available for download from this metadata record includes a map with the grid system and a document compiled by Geoff Copson with details about converting from the Parks and Wildlife grid to the UTM grid. Geoff states in the document ""The 1971 map was particularly inaccurate in the centre two quarters of the island. The grid for the Parks and Wildlife Service system was hand drawn and fairly variable. Conversion values are averaged out on coastal points around the island.""" proprietary
macquarie_taspaws_grid_1 A grid system used by the Parks and Wildlife Service, Tasmania, for Macquarie Island, 1974 to June 2001 AU_AADC STAC Catalog 1974-01-01 2001-06-02 158.7322, -54.8011, 158.9781, -54.4714 https://cmr.earthdata.nasa.gov/search/concepts/C1214313536-AU_AADC.umm_json "This metadata record describes a grid system for Macquarie Island formerly used by the Parks and Wildlife Service, Tasmania. The grid was first adopted by Irynej Skira in 1974 and was based on the 1:50000 scale map of the island published by Australia's Division of National Mapping in 1971. Data was continually recorded on this system up to June 2001 when the Universal Transverse Mercator (UTM) grid was adopted. The dataset available for download from this metadata record includes a map with the grid system and a document compiled by Geoff Copson with details about converting from the Parks and Wildlife grid to the UTM grid. Geoff states in the document ""The 1971 map was particularly inaccurate in the centre two quarters of the island. The grid for the Parks and Wildlife Service system was hand drawn and fairly variable. Conversion values are averaged out on coastal points around the island.""" proprietary
+macquarie_taspaws_grid_1 A grid system used by the Parks and Wildlife Service, Tasmania, for Macquarie Island, 1974 to June 2001 ALL STAC Catalog 1974-01-01 2001-06-02 158.7322, -54.8011, 158.9781, -54.4714 https://cmr.earthdata.nasa.gov/search/concepts/C1214313536-AU_AADC.umm_json "This metadata record describes a grid system for Macquarie Island formerly used by the Parks and Wildlife Service, Tasmania. The grid was first adopted by Irynej Skira in 1974 and was based on the 1:50000 scale map of the island published by Australia's Division of National Mapping in 1971. Data was continually recorded on this system up to June 2001 when the Universal Transverse Mercator (UTM) grid was adopted. The dataset available for download from this metadata record includes a map with the grid system and a document compiled by Geoff Copson with details about converting from the Parks and Wildlife grid to the UTM grid. Geoff states in the document ""The 1971 map was particularly inaccurate in the centre two quarters of the island. The grid for the Parks and Wildlife Service system was hand drawn and fairly variable. Conversion values are averaged out on coastal points around the island.""" proprietary
macquarie_tracks_1 Macquarie Island walking tracks AU_AADC STAC Catalog 1997-09-01 2012-06-30 158.77, -54.78, 158.95, -54.48 https://cmr.earthdata.nasa.gov/search/concepts/C1214311191-AU_AADC.umm_json This GIS dataset represents walking tracks on Macquarie Island and was compiled by the Australian Antarctic Data Centre from surveys and other sources. This data is displayed in a pair of A3 1:50000 maps of Macquarie Island (see a Related URL). proprietary
madagascar_diatoms MADAGASCAR National Oceanographic Data Centre - Diatoms CEOS_EXTRA STAC Catalog 2003-10-01 2004-10-31 43.61, -23.38, 43.68, -23.35 https://cmr.earthdata.nasa.gov/search/concepts/C2232477687-CEOS_EXTRA.umm_json The Madagascar National Oceanographic Data Centre is attached to the University of Toliara. Some of the research achievements of the Oceanographic Data Centre are: a project for the protection of coastal reefs in south-western Madagascar; a marine biodiversity assessment in the same coastal area; a socio-economic investigation of traditional fishing practices; and bio-ecological surveys to facilitate the development of a sustainable marine park in the Masoala area far away on Madagascar’s northeast coast. This dataset of diatoms has been collected at three stations in Toliara Bay, and it currently consists of 2754 records of 19 families. proprietary
madagascar_dinoflagelles MADAGASCAR National Oceanographic Data Centre - Dinoflagellates CEOS_EXTRA STAC Catalog 2002-12-01 2003-12-31 43.61, -23.38, 43.68, -23.35 https://cmr.earthdata.nasa.gov/search/concepts/C2232477667-CEOS_EXTRA.umm_json The Madagascar National Oceanographic Data Centre is attached to the University of Toliara. Some of the research achievements of the Oceanographic Data Centre are: a project for the protection of coastal reefs in south-western Madagascar; a marine biodiversity assessment in the same coastal area; a socio-economic investigation of traditional fishing practices; and bio-ecological surveys to facilitate the development of a sustainable marine park in the Masoala area far away on Madagascar’s northeast coast. This dataset of dinoflagellates has been collected at three stations in Toliara Bay, and it currently consists of 1297 records of 15 families. proprietary
@@ -19977,8 +19979,8 @@ mean-insect-occupancy-1970-2020_1.0 Mean insect occupancy 1970–2020 ENVIDAT ST
medical_bibliography_1 A bibliography of polar medicine related articles ALL STAC Catalog 1947-01-01 2007-06-06 60, -90, 160, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214311212-AU_AADC.umm_json This bibliography contains a list of publications in medical sciences from Australian National Antarctic Research Expeditions (ANARE) and the Australian Antarctic Program (AAP) from 1947-2007. The bibliography also contains publications related to Australian involvement in the International Biomedical Expedition to the Antarctic (IBEA), 1980-1981. Currently (as at 2007-06-06) the bibliography stands at 285 references, but is updated annually. The publications are divided into the following areas: Clinical medicine Clinical medicine - case reports Telemedicine Dentistry Diving Epidemiology Polar human research - general Physiology Immunology Photobiology Microbiology Psychology and behavioural studies Nutrition Theses Popular articles Miscellaneous IBEA Posters The fields in this dataset are: Author Title Journal Year proprietary
medical_bibliography_1 A bibliography of polar medicine related articles AU_AADC STAC Catalog 1947-01-01 2007-06-06 60, -90, 160, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214311212-AU_AADC.umm_json This bibliography contains a list of publications in medical sciences from Australian National Antarctic Research Expeditions (ANARE) and the Australian Antarctic Program (AAP) from 1947-2007. The bibliography also contains publications related to Australian involvement in the International Biomedical Expedition to the Antarctic (IBEA), 1980-1981. Currently (as at 2007-06-06) the bibliography stands at 285 references, but is updated annually. The publications are divided into the following areas: Clinical medicine Clinical medicine - case reports Telemedicine Dentistry Diving Epidemiology Polar human research - general Physiology Immunology Photobiology Microbiology Psychology and behavioural studies Nutrition Theses Popular articles Miscellaneous IBEA Posters The fields in this dataset are: Author Title Journal Year proprietary
mega-plots_1.0 Towards comparable species richness estimates across plot-based inventories - data ENVIDAT STAC Catalog 2022-01-01 2022-01-01 -14.0625, 33.1375512, 42.1875, 72.1818036 https://cmr.earthdata.nasa.gov/search/concepts/C2789816317-ENVIDAT.umm_json "The data file refers to the data used in Portier et al. ""Plot size matters: towards comparable species richness estimates across plot-based inventories"" (2022) *Ecology and Evolution*. This paper describes a methodoligical framework developed to allow meaningful species richness comparisons across plot-based inventories using different plot sizes. To this end, National Forest Inventory data from Switzerland, Slovakia, Norway and Spain were used. NFI plots were aggregated into mega-plots of larger sizes to build rarefaction curves. The data stored here correspond to the mega-plot level data used in the analyses, including for each country the size of the mega-plots in square meters (A), the corresponding species richness (SR) as well as all enrionmental heterogeneity measures described in the corresponding paper. Mega-plots of country-specific downscaled datasets are also provided. The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php). Contact details for data requests from all NFIs can be found in the ENFIN website (http://enfin.info/)." proprietary
-mendocino_mathison_peak_nff_sr Airborne laser swath mapping (ALSM) data of the San Andreas fault SCIOPS STAC Catalog 2003-02-05 2003-02-11 -123.81387, 39.31092, -123.720085, 39.333496 https://cmr.earthdata.nasa.gov/search/concepts/C1214614580-SCIOPS.umm_json "This airborne laser swath mapping (ALSM) data of the San Andreas fault zone in northern California was acquired by TerraPoint, LLC under contract to the National Aeronautics and Space Administration in collaboration with the United States Geological Survey. The data were acquired by means of LIght Detection And Ranging (LIDAR) using a discrete-return, scanning laser altimeter capable of acquiring up to 4 returns per laser pulse. The data were acquired with a nominal density of 1 laser pulses per square meter achieved with 58% overlap of adjacent data swaths (all areas were mapped at least twice and the data combined to produce final products). The data set consists of 3 parts: (1) the LIDAR point cloud providing the location and elevation of each laser return, along with associated acquisition and classification parameters, (2) a highest-surface digital elevation model (DEM) produced at a 6 foot grid spacing, where each grid cell elevation corresponds to the highest laser return within the cell (cells lacking returns are undefined, usually associated with water or low reflectance surfaces such as fresh asphalt), and (3) a ""bald Earth"" DEM, with vegetation cover and buildings removed, produced at a 6 foot grid spacing by sampling a triangular irregular network (TIN). The TIN was constructed from those returns classified as being from the ground or water based on spatial filtering of the point cloud. Comparison to GPS-established ground control in flat, vegetation-free areas indicates that the DEM vertical accuracy is 17 cm (RMSE for 85 points). Bald Earth elevations under vegetation and for water bodies are less accurate where laser returns from the ground or water are sparse. The highest surface and bald Earth DEMs are distributed as georeferenced geotiff elevation and shaded relief images. The grid cell values in the elevation images are orthometric elevations in international feet referenced to North American Vertical Datum 1988 (NAVD-88) stored as signed floating point values with undefined grid cells set to -99. The shaded relief images are byte values from 0 (shaded) to 255 (illuminated) computed using ENVI 4.0 shaded relief modeling with an illumination azimuth of 225 degrees, illumination elevation of 60 degrees, and a 3x3 kernel size. The images are mosaics based on USGS 7.5 minute quadrangle boundaries. Each mosaic is an east-west strip covering the northern or southern half of adjacent quadrangles. File names include the quadrangle names, a northern (N) or southern (S) half designation, a bald Earth (BE) or highest-surface (FF) designation, and an elevation image (elev) or shaded relief image (SR) designation. FF refers to full-feature indicating vegetation and buildings have not been removed.These data were developed in order to study the geomorphic expression of natural hazards in support of the National Aeronautics and Space Administration (NASA) Solid Earth and Natural Hazards (SENH) Program, the United States Geological Survey (USGS), and the Geology component of the Earthscope Plate Boundary Observatory. Spatial Data Organization Information - Direct Spatial Reference: Raster Raster Object Type: Pixel Row Count: 1285 Column Count: 4398 Vertical Count: 1 Spatial Reference Information - Horizontal Coordinate System Definition - Planar - Map Projection Name: Lambert Conformal Conic Standard Parallel: 38.333333 Standard Parallel: 39.833333 Longitude of Central Meridian: -122.000000 Latitude of Projection Origin: 37.666667 False Easting: 6561666.666667 False Northing: 1640416.666667 Planar Coordinate Encoding Method: row and column Coordinate Representation: Abscissa Resolution: 6.000000 Ordinate Resolution: 6.000000 Distance and Bearing Representation: Planar Distance Units: survey feet Geodetic Model: Horizontal Datum Name: North American Datum of 1983 Ellipsoid Name: Geodetic Reference System 80 Semi-major Axis: 6378137.000000 Denominator of Flattening Ratio: 298.257222" proprietary
mendocino_mathison_peak_nff_sr Airborne laser swath mapping (ALSM) data of the San Andreas fault ALL STAC Catalog 2003-02-05 2003-02-11 -123.81387, 39.31092, -123.720085, 39.333496 https://cmr.earthdata.nasa.gov/search/concepts/C1214614580-SCIOPS.umm_json "This airborne laser swath mapping (ALSM) data of the San Andreas fault zone in northern California was acquired by TerraPoint, LLC under contract to the National Aeronautics and Space Administration in collaboration with the United States Geological Survey. The data were acquired by means of LIght Detection And Ranging (LIDAR) using a discrete-return, scanning laser altimeter capable of acquiring up to 4 returns per laser pulse. The data were acquired with a nominal density of 1 laser pulses per square meter achieved with 58% overlap of adjacent data swaths (all areas were mapped at least twice and the data combined to produce final products). The data set consists of 3 parts: (1) the LIDAR point cloud providing the location and elevation of each laser return, along with associated acquisition and classification parameters, (2) a highest-surface digital elevation model (DEM) produced at a 6 foot grid spacing, where each grid cell elevation corresponds to the highest laser return within the cell (cells lacking returns are undefined, usually associated with water or low reflectance surfaces such as fresh asphalt), and (3) a ""bald Earth"" DEM, with vegetation cover and buildings removed, produced at a 6 foot grid spacing by sampling a triangular irregular network (TIN). The TIN was constructed from those returns classified as being from the ground or water based on spatial filtering of the point cloud. Comparison to GPS-established ground control in flat, vegetation-free areas indicates that the DEM vertical accuracy is 17 cm (RMSE for 85 points). Bald Earth elevations under vegetation and for water bodies are less accurate where laser returns from the ground or water are sparse. The highest surface and bald Earth DEMs are distributed as georeferenced geotiff elevation and shaded relief images. The grid cell values in the elevation images are orthometric elevations in international feet referenced to North American Vertical Datum 1988 (NAVD-88) stored as signed floating point values with undefined grid cells set to -99. The shaded relief images are byte values from 0 (shaded) to 255 (illuminated) computed using ENVI 4.0 shaded relief modeling with an illumination azimuth of 225 degrees, illumination elevation of 60 degrees, and a 3x3 kernel size. The images are mosaics based on USGS 7.5 minute quadrangle boundaries. Each mosaic is an east-west strip covering the northern or southern half of adjacent quadrangles. File names include the quadrangle names, a northern (N) or southern (S) half designation, a bald Earth (BE) or highest-surface (FF) designation, and an elevation image (elev) or shaded relief image (SR) designation. FF refers to full-feature indicating vegetation and buildings have not been removed.These data were developed in order to study the geomorphic expression of natural hazards in support of the National Aeronautics and Space Administration (NASA) Solid Earth and Natural Hazards (SENH) Program, the United States Geological Survey (USGS), and the Geology component of the Earthscope Plate Boundary Observatory. Spatial Data Organization Information - Direct Spatial Reference: Raster Raster Object Type: Pixel Row Count: 1285 Column Count: 4398 Vertical Count: 1 Spatial Reference Information - Horizontal Coordinate System Definition - Planar - Map Projection Name: Lambert Conformal Conic Standard Parallel: 38.333333 Standard Parallel: 39.833333 Longitude of Central Meridian: -122.000000 Latitude of Projection Origin: 37.666667 False Easting: 6561666.666667 False Northing: 1640416.666667 Planar Coordinate Encoding Method: row and column Coordinate Representation: Abscissa Resolution: 6.000000 Ordinate Resolution: 6.000000 Distance and Bearing Representation: Planar Distance Units: survey feet Geodetic Model: Horizontal Datum Name: North American Datum of 1983 Ellipsoid Name: Geodetic Reference System 80 Semi-major Axis: 6378137.000000 Denominator of Flattening Ratio: 298.257222" proprietary
+mendocino_mathison_peak_nff_sr Airborne laser swath mapping (ALSM) data of the San Andreas fault SCIOPS STAC Catalog 2003-02-05 2003-02-11 -123.81387, 39.31092, -123.720085, 39.333496 https://cmr.earthdata.nasa.gov/search/concepts/C1214614580-SCIOPS.umm_json "This airborne laser swath mapping (ALSM) data of the San Andreas fault zone in northern California was acquired by TerraPoint, LLC under contract to the National Aeronautics and Space Administration in collaboration with the United States Geological Survey. The data were acquired by means of LIght Detection And Ranging (LIDAR) using a discrete-return, scanning laser altimeter capable of acquiring up to 4 returns per laser pulse. The data were acquired with a nominal density of 1 laser pulses per square meter achieved with 58% overlap of adjacent data swaths (all areas were mapped at least twice and the data combined to produce final products). The data set consists of 3 parts: (1) the LIDAR point cloud providing the location and elevation of each laser return, along with associated acquisition and classification parameters, (2) a highest-surface digital elevation model (DEM) produced at a 6 foot grid spacing, where each grid cell elevation corresponds to the highest laser return within the cell (cells lacking returns are undefined, usually associated with water or low reflectance surfaces such as fresh asphalt), and (3) a ""bald Earth"" DEM, with vegetation cover and buildings removed, produced at a 6 foot grid spacing by sampling a triangular irregular network (TIN). The TIN was constructed from those returns classified as being from the ground or water based on spatial filtering of the point cloud. Comparison to GPS-established ground control in flat, vegetation-free areas indicates that the DEM vertical accuracy is 17 cm (RMSE for 85 points). Bald Earth elevations under vegetation and for water bodies are less accurate where laser returns from the ground or water are sparse. The highest surface and bald Earth DEMs are distributed as georeferenced geotiff elevation and shaded relief images. The grid cell values in the elevation images are orthometric elevations in international feet referenced to North American Vertical Datum 1988 (NAVD-88) stored as signed floating point values with undefined grid cells set to -99. The shaded relief images are byte values from 0 (shaded) to 255 (illuminated) computed using ENVI 4.0 shaded relief modeling with an illumination azimuth of 225 degrees, illumination elevation of 60 degrees, and a 3x3 kernel size. The images are mosaics based on USGS 7.5 minute quadrangle boundaries. Each mosaic is an east-west strip covering the northern or southern half of adjacent quadrangles. File names include the quadrangle names, a northern (N) or southern (S) half designation, a bald Earth (BE) or highest-surface (FF) designation, and an elevation image (elev) or shaded relief image (SR) designation. FF refers to full-feature indicating vegetation and buildings have not been removed.These data were developed in order to study the geomorphic expression of natural hazards in support of the National Aeronautics and Space Administration (NASA) Solid Earth and Natural Hazards (SENH) Program, the United States Geological Survey (USGS), and the Geology component of the Earthscope Plate Boundary Observatory. Spatial Data Organization Information - Direct Spatial Reference: Raster Raster Object Type: Pixel Row Count: 1285 Column Count: 4398 Vertical Count: 1 Spatial Reference Information - Horizontal Coordinate System Definition - Planar - Map Projection Name: Lambert Conformal Conic Standard Parallel: 38.333333 Standard Parallel: 39.833333 Longitude of Central Meridian: -122.000000 Latitude of Projection Origin: 37.666667 False Easting: 6561666.666667 False Northing: 1640416.666667 Planar Coordinate Encoding Method: row and column Coordinate Representation: Abscissa Resolution: 6.000000 Ordinate Resolution: 6.000000 Distance and Bearing Representation: Planar Distance Units: survey feet Geodetic Model: Horizontal Datum Name: North American Datum of 1983 Ellipsoid Name: Geodetic Reference System 80 Semi-major Axis: 6378137.000000 Denominator of Flattening Ratio: 298.257222" proprietary
met-obs-jmr-stations-1976_1 Meteorological Observations Made At JMR Stations 1976-1977 AU_AADC STAC Catalog 1976-01-01 1977-12-31 124.5, -78.5, 93, -67 https://cmr.earthdata.nasa.gov/search/concepts/C1214313660-AU_AADC.umm_json During the Mirny-Dome C traverse in 1976/77, time was spent at a number of cane sites taking JMR measurements, to determine the precise location. During this time, basic meteorological observations of air temperature and pressure were made and recorded. These documents have been archived in the records store at the Australian Antarctic Division. proprietary
met_profile_SA_729_1 SAFARI 2000 Upper Air Meteorological Profiles, South Africa, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-01 2000-09-30 -10, -41, 31, -24 https://cmr.earthdata.nasa.gov/search/concepts/C2789021046-ORNL_CLOUD.umm_json The University of Wyoming has a series of balloonborne radiosonde measurements from all around the world, from the surface to 30 km. This data set contains upper air meteorological profiles from 594 radiosonde launches deployed from sites in South Africa. These sonde launches were made to augment the regional sounding network in the region during the SAFARI 2000 Dry Season Campaign of 2000.Vaisala RS80 sondes were launched from nine sites in South Africa between August 1, 2000 and September 30, 2000. The launch sites were Pietersburg (changed to Polokwane after 2000), Pretoria (Irene), Bethlehem, Springbok, De Aar, Durban, Cape Town, Port Elizabeth, and Gough Island. The parameters measured by the radiosonde instruments include: pressure, air temperature, relative humidity, wind speed, and wind direction. proprietary
met_profile_skukuza_728_1 SAFARI 2000 Upper Air Meteorological Profiles, Skukuza, Dry Seasons 1999-2000 ORNL_CLOUD STAC Catalog 1999-08-14 2000-09-23 31.59, -24.97, 31.59, -24.97 https://cmr.earthdata.nasa.gov/search/concepts/C2789020292-ORNL_CLOUD.umm_json Vaisala RS80 sondes were deployed from Skukuza Airport, South Africa, to collect atmospheric sounding profiles of temperature and moisture data from the surface to 30 km. These sonde launches were coordinated to augment the regional sounding network in the region during the SAFARI 2000 Dry Season Campaigns of 1999 and 2000. The radiosondes were launched from Skukuza Airport between August 14-September 3, 1999, and between August 24-September 23, 2000. The radiosonde instrument package RS80 measured the following meteorological parameters: pressure in hecto-Pascals (P), ambient temperature in degrees Celsius (T), and relative humidity in percentage (RH). A hydrostatic equation was applied to the recorded data, after error-checking, to calculate the output parameters: height above sea level in meters, dew point temperature in degrees Celsius, and q (g/kg) which is specific humidity in grams per kilogram. proprietary
@@ -20110,8 +20112,8 @@ npolimpacts_1 NASA S-Band Dual Polarimetric Doppler Radar (NPOL) IMPACTS V1 GHRC
ns0012bq_482_1 BOREAS NS001 TMS Level-2 Images: Reflectance and Temperature in BSQ Format ORNL_CLOUD STAC Catalog 1994-04-19 1994-09-16 -106.32, 53.42, -97.23, 56.25 https://cmr.earthdata.nasa.gov/search/concepts/C2929136513-ORNL_CLOUD.umm_json This information includes detailed land cover and biophysical parameter maps such as fPAR and LAI. Collection of the NS001 images occurred over the study areas during the 1994 field campaigns. The Level-2 NS001 data are atmospherically corrected versions of some of the best original NS001 imagery and cover the dates of 19-Apr-1994, 07-Jun-1994, 21-Jul-1994, 08-Aug-1994, and 16-Sep-1994. proprietary
ns001bil_440_1 BOREAS NS001 TMS Level-0 Images in BIL Format ORNL_CLOUD STAC Catalog 1994-05-24 1994-09-19 -106.32, 53.42, -97.23, 56.25 https://cmr.earthdata.nasa.gov/search/concepts/C2929070415-ORNL_CLOUD.umm_json The NS001 TMS imagery, along with the other remotely sensed images, was collected in order to provide spatially extensive information over the primary study areas. This information includes detailed land cover and biophysical parameter maps such as fPAR and LAI. Data collections occurred over the study areas during the 1994 field campaigns. proprietary
nsafcovr_252_1 BOREAS Forest Cover Layers of the NSA in Raster Format ORNL_CLOUD STAC Catalog 1988-01-01 1992-12-31 -98.82, 55.72, -97.83, 56.07 https://cmr.earthdata.nasa.gov/search/concepts/C2807622831-ORNL_CLOUD.umm_json Processed by BORIS staff from the original vector data of species, crown closure, cutting class, and site classification/subtype into raster files. proprietary
-nsf0232042 Aeromagnetic and gravity data of the Central Transantarctic Mountains ALL STAC Catalog 2003-12-27 2004-01-25 139.27539, -83.95234, 170.21844, -82.35733 https://cmr.earthdata.nasa.gov/search/concepts/C2231555173-CEOS_EXTRA.umm_json Near complete coverage of the East Antarctic shield by ice hampers geological study of crustal architecture important for understanding global tectonic and climate history. Limited exposures in the central Transantarctic Mountains (CTAM), however, show that Archean and Proterozoic rocks of the shield as well as Neoproterozoic-lower Paleozoic sedimentary successions were involved in oblique convergence associated with Gondwana amalgamation. Subsequently, the area was overprinted by Jurassic magmatism and Cenozoic uplift. To extend the known geology of the region to ice-covered areas, we conducted an aeromagnetic survey flown in draped mode by helicopters over the Transantarctic Mountains and by fixed-wing aircraft over the adjacent polar plateau. We flew >32,000 line km covering an area of nearly 60,000 km2 at an average altitude of 600 m, with average line spacing 2.5 km over most areas and 1.25 km over basement rocks exposed in the Miller and Geologists ranges. Additional lines flown to true north, south and west extended preliminary coverage and tied with existing surveys. Gravity data was collected on the ground along a central transect of the helicopter survey area. From December 2003 to January 2004, the CTAM group flew a helicopter and twin-otter aeromagnetic survey and collected gravity station data on the ground in profile form. These data will be integrated with other geologic and geophysical data in order to extend the known geology of the region to ice-covered areas. proprietary
nsf0232042 Aeromagnetic and gravity data of the Central Transantarctic Mountains CEOS_EXTRA STAC Catalog 2003-12-27 2004-01-25 139.27539, -83.95234, 170.21844, -82.35733 https://cmr.earthdata.nasa.gov/search/concepts/C2231555173-CEOS_EXTRA.umm_json Near complete coverage of the East Antarctic shield by ice hampers geological study of crustal architecture important for understanding global tectonic and climate history. Limited exposures in the central Transantarctic Mountains (CTAM), however, show that Archean and Proterozoic rocks of the shield as well as Neoproterozoic-lower Paleozoic sedimentary successions were involved in oblique convergence associated with Gondwana amalgamation. Subsequently, the area was overprinted by Jurassic magmatism and Cenozoic uplift. To extend the known geology of the region to ice-covered areas, we conducted an aeromagnetic survey flown in draped mode by helicopters over the Transantarctic Mountains and by fixed-wing aircraft over the adjacent polar plateau. We flew >32,000 line km covering an area of nearly 60,000 km2 at an average altitude of 600 m, with average line spacing 2.5 km over most areas and 1.25 km over basement rocks exposed in the Miller and Geologists ranges. Additional lines flown to true north, south and west extended preliminary coverage and tied with existing surveys. Gravity data was collected on the ground along a central transect of the helicopter survey area. From December 2003 to January 2004, the CTAM group flew a helicopter and twin-otter aeromagnetic survey and collected gravity station data on the ground in profile form. These data will be integrated with other geologic and geophysical data in order to extend the known geology of the region to ice-covered areas. proprietary
+nsf0232042 Aeromagnetic and gravity data of the Central Transantarctic Mountains ALL STAC Catalog 2003-12-27 2004-01-25 139.27539, -83.95234, 170.21844, -82.35733 https://cmr.earthdata.nasa.gov/search/concepts/C2231555173-CEOS_EXTRA.umm_json Near complete coverage of the East Antarctic shield by ice hampers geological study of crustal architecture important for understanding global tectonic and climate history. Limited exposures in the central Transantarctic Mountains (CTAM), however, show that Archean and Proterozoic rocks of the shield as well as Neoproterozoic-lower Paleozoic sedimentary successions were involved in oblique convergence associated with Gondwana amalgamation. Subsequently, the area was overprinted by Jurassic magmatism and Cenozoic uplift. To extend the known geology of the region to ice-covered areas, we conducted an aeromagnetic survey flown in draped mode by helicopters over the Transantarctic Mountains and by fixed-wing aircraft over the adjacent polar plateau. We flew >32,000 line km covering an area of nearly 60,000 km2 at an average altitude of 600 m, with average line spacing 2.5 km over most areas and 1.25 km over basement rocks exposed in the Miller and Geologists ranges. Additional lines flown to true north, south and west extended preliminary coverage and tied with existing surveys. Gravity data was collected on the ground along a central transect of the helicopter survey area. From December 2003 to January 2004, the CTAM group flew a helicopter and twin-otter aeromagnetic survey and collected gravity station data on the ground in profile form. These data will be integrated with other geologic and geophysical data in order to extend the known geology of the region to ice-covered areas. proprietary
number-of-natural-hazard-fatalities-per-year-in-switzerland-since-1946_1.0 Number of natural hazard fatalities per year in Switzerland since 1946 ENVIDAT STAC Catalog 2019-01-01 2019-01-01 5.6469727, 45.767523, 10.579834, 47.864774 https://cmr.earthdata.nasa.gov/search/concepts/C2789816460-ENVIDAT.umm_json This dataset contains the number of fatalities due to flood, debris flow, landslide, rockfall, windstorm, lightning, ice avalanche, earthquake and other processes like roof avalanche or lacustrine tsunami for each year since 1946. The following information is contained (by column and column title): * year * total number of hazard fatalities * number of fatalities by flood (German: Hochwasser, Überschwemmung). Flood includes people drowned in flooded or inundated areas or carried away in streams under high-water conditions. * number of fatalities by debris flow (German: Murgang). * number of fatalities by landslide (German: Erdrutsch). Landslide includes people killed by landslides and hillslope debris flows (German: Hangmure). * number of fatalities by rockfall (German: Steinschlag, Fels- und Bergsturz). * number of fatalities by windstorm (German: Sturm). Windstorm includes people killed by falling objects or trees during very strong wind conditions and people who drowned in lakes because their boat capsized during such conditions. * number of fatalities by lightning (German: Blitz). * number of fatalities by ice avalanche (German: Eislawine). * number of fatalities by earthquake (German: Erdbeben). * number of fatalities by other processes like roof avalanche, lacustrine tsunami (German: andere Prozesse wie Dachlawine, Tsunami im See). The data was collected based on newspaper research. For more information please refer to _Badoux, A., Andres, N., Techel, F., and Hegg, C.: Natural hazard fatalities in Switzerland from 1946 to 2015, Nat. Hazards Earth Syst. Sci., 16, 2747-2768, https://doi.org/10.5194/nhess-16-2747-2016, 2016._ The data collection is financed by the FOEN (with exception of the collection of the avalanche fatalities). The data contains the official statistics of the FOEN on fatalities due to flood, debris flow, landslide, rock fall and avalanche. __Restrictions: The data set is not complete.__ Only fatalities in or around settlements and on open transportation routes are included. More precisely, fatalities were not collected, when persons exposed themselves to a great danger on purpose. Or fatalities during leisure activities which are connected to a higher risk were not included (this includes e.g. canoeing or river surfing during flood, canyoning, mountaineering, climbing, walking or driving on a closed road). Fatalities by avalanches are collected at the WSL Institute for Snow and Avalanche Research SLF. You can download the avalanche fatalities per hydrological year [here](https://www.envidat.ch/dataset/avalanche-fatalities-switzerland-1936) and per calendar year [here](https://www.envidat.ch/dataset/avalanche-fatalities-per-calendar-year-since-1936). For a direct comparison with the fatalities presented here, please download the data set with the calendar years and do not consider fatalities in the backcountry (tour) or in terrain close to ski areas (offpiste). proprietary
number_of_forest_edges-124_1.0 Number of forest edges ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789816337-ENVIDAT.umm_json Number of forest edges according to the NFI definition. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary
number_of_forest_plots-125_1.0 Number of forest plots ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789816350-ENVIDAT.umm_json Number of forest sample plots (Plots). __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary
@@ -20119,8 +20121,8 @@ number_of_woody_species_from_40_cm_height-144_1.0 Number of woody species (from
number_of_woody_species_gt_12_cm_dbh-41_1.0 Number of woody species (>= 12 cm DBH) ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789816627-ENVIDAT.umm_json Number of tree and shrub species starting at 12 cm dbh (diameter at breast height) within the 200 m2 sample plot. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary
number_of_young_forest_plants_by_damage-209_1.0 Number of young forest plants by damage ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789816738-ENVIDAT.umm_json Number of regeneration trees starting at 10 cm height up to 11.9 cm dbh with a particular type of damage or with no damage. The attribute is recorded by targeting the next regeneration tree in the centre of the subplot during NFI’s regeneration survey. A regeneration tree may have more than one type of damage, which means it may contribute to the total number of regeneration trees for several different types of damage. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary
nutrient-addition-stillberg_1.0 Nutrient addition experiment at the Alpine treeline site Stillberg, Switzerland ENVIDAT STAC Catalog 2023-01-01 2023-01-01 9.867544, 46.7716544, 9.867544, 46.7716544 https://cmr.earthdata.nasa.gov/search/concepts/C3226082769-ENVIDAT.umm_json # Background information The availability of nitrogen (N) and phosphorus (P) is considered to be a major factor limiting growth and productivity in terrestrial ecosystems globally. This project aimed to determine whether the growth stimulation documented in previous short‐term fertilisation trials persisted in a longer‐term study (12 years) in the treeline ecotone, and whether possible negative effects of nutrient addition offset the benefits of any growth stimulation. Over the course of the 12 study years, NPK fertiliser corresponding to 15 or 30 kg N ha−1 a−1 was added annually to plots containing 30‐year‐old *Larix decidua* or 32‐year-old *Pinus uncinata* individuals with an understorey of mainly ericaceous dwarf shrubs. To quantify growth, annual shoot increments of trees and dwarf shrubs as well as radial growth increments of trees were measured. Nutrient concentrations in the soil were also measured and the foliar nutritional status of trees and dwarf shrubs was assessed. # Experimental design Over an elevation gradient of 140 m across the treeline afforestation site Stillberg, 22 locations were chosen that covered the whole range of microenvironmental conditions (*see* Nutrient addition experimental design.png). Half of the blocks included European larch (*L. decidua*) and the other half included mountain pine (*P. uncinata*). Within each block, three plantation quadrats were randomly selected as experimental plots and each plot was assigned to a control (no fertilisation) or to one of two fertiliser dose treatments (15 kg and 30 kg N ha−1 a−1). Treatments were assigned randomly but confined so that the location of fertilised plots within a block was not directly above control plots to avoid nutrient input from drainage. For details about the experiment, *see* Möhl et al (2019). # Data description The available datasets contain climate variables (2004-2016), nutrient isotope measurements (2010 & 2016), shrub growth measurements (2004-2016), soil parameter measurements and annual ring and shoot measurements (2004-2016). All data can be found here: proprietary
-nwrc_amphibianslowermiss A Multi-scale Habitat Evaluation of Amphibians in the Lower Mississippi River Alluvial Valley CEOS_EXTRA STAC Catalog 1999-09-05 1999-12-05 -91.95, 31.15, -91.25, 32.4333 https://cmr.earthdata.nasa.gov/search/concepts/C2231550400-CEOS_EXTRA.umm_json Bottomland hardwood forests are floodplain forests distributed along rivers and streams throughout the central and southern United States. The largest bottomland hardwood ecosystem in North America occurred within the Lower Mississippi River Alluvial Valley (LMAV). By the 1980.s, an estimated 80% of the former 10 million ha of bottomland hardwood forest in the LMAV were cleared for flood control efforts, agriculture, and development. Forests are continuing to be cleared today at an alarming rate, and the forests that remain are highly degraded and fragmented. In addition, these forests are subjected to extreme hydrological alterations. Over the past few decades, extensive efforts have begun to reforest marginal agricultural lands within the LMAV. Restoration efforts are limited by the lack of information concerning the habitat needs of bottomland wildlife species. Amphibians are one group of species for which little is known about their population status or habitat requirements in the LMAV. Information concerning the population status of amphibians in the LMAV is especially important since amphibians appear to be declining worldwide. Amphibians may also be important indicators of environmental health because of their sensitivity to land management practices and water quality. Understanding the habitat requirements of amphibians can be a step toward enhancing wildlife populations within the LMAV by providing valuable information for improving land management practices and wetland restoration techniques. To provide an inventory of amphibians at Tensas River and Lake Ophelia National Wildlife Refuges. In addition, to determine amphibian distribution patterns in the LMAV as they relate to landscape habitat features. Research results will be used to develop reports and manuscripts, and to assist land managers in management decisions to benefit amphibian populations. Information was obtained from Janene Lichtenberg for this metadata. proprietary
nwrc_amphibianslowermiss A Multi-scale Habitat Evaluation of Amphibians in the Lower Mississippi River Alluvial Valley ALL STAC Catalog 1999-09-05 1999-12-05 -91.95, 31.15, -91.25, 32.4333 https://cmr.earthdata.nasa.gov/search/concepts/C2231550400-CEOS_EXTRA.umm_json Bottomland hardwood forests are floodplain forests distributed along rivers and streams throughout the central and southern United States. The largest bottomland hardwood ecosystem in North America occurred within the Lower Mississippi River Alluvial Valley (LMAV). By the 1980.s, an estimated 80% of the former 10 million ha of bottomland hardwood forest in the LMAV were cleared for flood control efforts, agriculture, and development. Forests are continuing to be cleared today at an alarming rate, and the forests that remain are highly degraded and fragmented. In addition, these forests are subjected to extreme hydrological alterations. Over the past few decades, extensive efforts have begun to reforest marginal agricultural lands within the LMAV. Restoration efforts are limited by the lack of information concerning the habitat needs of bottomland wildlife species. Amphibians are one group of species for which little is known about their population status or habitat requirements in the LMAV. Information concerning the population status of amphibians in the LMAV is especially important since amphibians appear to be declining worldwide. Amphibians may also be important indicators of environmental health because of their sensitivity to land management practices and water quality. Understanding the habitat requirements of amphibians can be a step toward enhancing wildlife populations within the LMAV by providing valuable information for improving land management practices and wetland restoration techniques. To provide an inventory of amphibians at Tensas River and Lake Ophelia National Wildlife Refuges. In addition, to determine amphibian distribution patterns in the LMAV as they relate to landscape habitat features. Research results will be used to develop reports and manuscripts, and to assist land managers in management decisions to benefit amphibian populations. Information was obtained from Janene Lichtenberg for this metadata. proprietary
+nwrc_amphibianslowermiss A Multi-scale Habitat Evaluation of Amphibians in the Lower Mississippi River Alluvial Valley CEOS_EXTRA STAC Catalog 1999-09-05 1999-12-05 -91.95, 31.15, -91.25, 32.4333 https://cmr.earthdata.nasa.gov/search/concepts/C2231550400-CEOS_EXTRA.umm_json Bottomland hardwood forests are floodplain forests distributed along rivers and streams throughout the central and southern United States. The largest bottomland hardwood ecosystem in North America occurred within the Lower Mississippi River Alluvial Valley (LMAV). By the 1980.s, an estimated 80% of the former 10 million ha of bottomland hardwood forest in the LMAV were cleared for flood control efforts, agriculture, and development. Forests are continuing to be cleared today at an alarming rate, and the forests that remain are highly degraded and fragmented. In addition, these forests are subjected to extreme hydrological alterations. Over the past few decades, extensive efforts have begun to reforest marginal agricultural lands within the LMAV. Restoration efforts are limited by the lack of information concerning the habitat needs of bottomland wildlife species. Amphibians are one group of species for which little is known about their population status or habitat requirements in the LMAV. Information concerning the population status of amphibians in the LMAV is especially important since amphibians appear to be declining worldwide. Amphibians may also be important indicators of environmental health because of their sensitivity to land management practices and water quality. Understanding the habitat requirements of amphibians can be a step toward enhancing wildlife populations within the LMAV by providing valuable information for improving land management practices and wetland restoration techniques. To provide an inventory of amphibians at Tensas River and Lake Ophelia National Wildlife Refuges. In addition, to determine amphibian distribution patterns in the LMAV as they relate to landscape habitat features. Research results will be used to develop reports and manuscripts, and to assist land managers in management decisions to benefit amphibian populations. Information was obtained from Janene Lichtenberg for this metadata. proprietary
nymesoimpacts_1 New York State Mesonet IMPACTS GHRC_DAAC STAC Catalog 2020-01-03 2023-03-02 -79.6375, 40.594, -72.1909, 44.9057 https://cmr.earthdata.nasa.gov/search/concepts/C1995873777-GHRC_DAAC.umm_json The New York State Mesonet IMPACTS dataset is browse-only. It consists of temperature, wind, wind direction, mean sea level pressure, precipitation, and snow depth measurements, as well as profiler Doppler LiDAR and Microwave Radiometer (MWR) measurements from the New York State Mesonet network during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign, a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. The Mesonet network consists of ground weather stations, LiDAR profilers, and microwave radiometer (MWR) profilers. These browse files are available from January 3, 2020, through March 2, 2023, in PNG format. proprietary
obrienbay_bathy_dem_1 A bathymetric Digital Elevation Model (DEM) of O'Brien Bay, Windmill Islands AU_AADC STAC Catalog 1997-03-31 1997-03-31 110.516, -66.297, 110.54, -66.293 https://cmr.earthdata.nasa.gov/search/concepts/C1214311199-AU_AADC.umm_json A bathymetric Digital Elevation Model (DEM) of O'Brien Bay, Windmill Islands. proprietary
obrienbay_bathy_dem_1 A bathymetric Digital Elevation Model (DEM) of O'Brien Bay, Windmill Islands ALL STAC Catalog 1997-03-31 1997-03-31 110.516, -66.297, 110.54, -66.293 https://cmr.earthdata.nasa.gov/search/concepts/C1214311199-AU_AADC.umm_json A bathymetric Digital Elevation Model (DEM) of O'Brien Bay, Windmill Islands. proprietary
@@ -20149,8 +20151,8 @@ pedestrian_gentoo_1 Effects of human activity on Gentoo penguins on Macquarie Is
pedestrian_king_1 Effects of human activity on King penguins on Macquarie Island AU_AADC STAC Catalog 2002-10-20 2003-03-20 158.76892, -54.78168, 158.96667, -54.47802 https://cmr.earthdata.nasa.gov/search/concepts/C1214311218-AU_AADC.umm_json This project empirically measures the effects of human activity on the behaviour of King penguins on Macquarie Island, under ASAC project 1148. This was achieved by collecting behavioural responses of individual penguins exposed to pedestrian approaches across the breeding stages of incubation and guard. Information produced includes minimum approach guidelines. As of April 2003 all data are stored on Hi-8 digital tape, due to be transformed during 2003 - 2004 into a timecoded tab-delimited text format for analysis using the Observer (Noldus Information Technology 2002). The fields in this dataset are: Sample Date Breeding Phase Approach Colony Focal birds tape number Wide angle tape number Weather Time Windspeed Temperature Precipitation Cloud Pre-approach control Post-approach control Maximum approach distance proprietary
pedestrian_royal_1 Effects of human activity on Royal penguins on Macquarie Island AU_AADC STAC Catalog 2002-10-20 2003-03-20 158.76755, -54.78247, 158.95981, -54.47802 https://cmr.earthdata.nasa.gov/search/concepts/C1214311223-AU_AADC.umm_json This project empirically measures the effects of human activity on the behaviour, heart rate and egg-shell surface temperature of Royal penguins on Macquarie Island, as part of ASAC project 1148. This was achieved by collecting behavioural and physiological responses of individual penguins exposed to pedestrian approaches across the breeding stages of incubation, guard, creche and moult. Both single person and group approaches were also investigated. Information produced includes minimum approach guidelines. As of April 2003 all data are stored on Hi-8 digital tape, due to be transformed during 2003 - 2004 into a timecoded tab-delimited text format for analysis using the Observer (Noldus Information Technology 2002). Some notes about some of the fields in this dataset: Temp file refers to whether or not egg shell surface temperature was also recorded for the sample, with the code below refering to the file name. Neighbour refers to the behavioural control file for each sample (neighbouring nests did not recieve an artificial egg, and provide a behavioural control for responses to human approaches without the scientific treatment). Nest refers to the randomly used nest markers for each sample. Heart rate refers to whether heart rate was concurrently recorded with behaviour on the sample (both stored on Hi-8 tape). Stimulus refers to whether single persons or groups of persons (5 -7, recorded within each sample) were used for the human approaches. Environment refers to whether approaches were conducted from colony sections abuting pebbly beach or from poa tussock environs (tussock approaches less than 50 m of the poa / pebbly beach junction). The code system for nest simply refers to the numbered tag placed at the nest (using three colours, g=green, w=white, b=brown) which were used randomly. The fields in this dataset are: Sample Date Breeding Phase Stimulus Type Environment Colony Nest Tape Heart Rate Temp File Neighbour proprietary
pfynwald_2016 Tree measurements 2002-2016 from the long-term irrigation experiment Pfynwald, Switzerland ENVIDAT STAC Catalog 2016-01-01 2016-01-01 7.61192, 46.30284, 7.61192, 46.30284 https://cmr.earthdata.nasa.gov/search/concepts/C2789816328-ENVIDAT.umm_json To study the performance of mature Scots pine (_Pinus sylvestris_ L.) under chronic drought conditions in comparison to their immediate physiological response to drought release, a controlled long-term and large-scale irrigation experiment has been set up in 2003. The experiment is located in a xeric mature Scots pine forest in the Pfynwald (46° 18' N, 7° 36' E, 615 m a.s.l.) in one of the driest inner-Alpine valleys of the European Alps, the Valais (mean annual temperature: 9.2°C, annual precipitation sum: 657 mm, both 1961-1990). Tree age is on average 100 years, the top height is 10.8 m and the stand density is 730 stems ha-1 with a basal area of 27.3 m2 ha-1. The forest is described as _Erico Pinetum sylvestris_ and the soil is a shallow pararendzina characterized by low water retention. The experimental site (1.2 ha; 800 trees) is split up into eight plots of 1'000 m2 each. During April-October, irrigation is applied on four randomly selected plots with sprinklers of 1 m height at night using water from an adjacent water channel. The amount of irrigation corresponds to a supplementary rainfall of 700 mm year-1. Trees in the other four plots grow under naturally dry conditions. Soil moisture has been monitored since the beginning of the project at 3 soil depths (10, 20 and 60 cm). The crown condition of each tree is being assessed each year since 2003. Tree measurement data such as diameter at breast height, tree height, and social status were assessed in 2002, 2009 and 2014. The duration of the irrigation experiment is planned for 20 years. proprietary
-pfynwaldgasexchange_1.0 2013-2020 gas exchange at Pfynwald ALL STAC Catalog 2021-01-01 2021-01-01 7.6105556, 46.3001905, 7.6163921, 46.3047564 https://cmr.earthdata.nasa.gov/search/concepts/C2789816347-ENVIDAT.umm_json Gas exchange was measured on control, irrigated and irrigation-stop trees at the irrigation experiment Pfynwald, during the years 2013, 2014, 2016-2020. The measurement campaigns served different purposes, resulting in a large dataset containing survey data, CO2 response curves of photosynthesis, light response curves of photosynthesis, and fluorescence measurements. Measurements were done with LiCor 6400 and LiCor 6800 instruments. Until 2016, measurements were done on excised branches or branches lower in the canopy. From 2016 onwards, measurements were done in the top of the canopy using fixed installed scaffolds. All metadata can be found in the attached documents. proprietary
pfynwaldgasexchange_1.0 2013-2020 gas exchange at Pfynwald ENVIDAT STAC Catalog 2021-01-01 2021-01-01 7.6105556, 46.3001905, 7.6163921, 46.3047564 https://cmr.earthdata.nasa.gov/search/concepts/C2789816347-ENVIDAT.umm_json Gas exchange was measured on control, irrigated and irrigation-stop trees at the irrigation experiment Pfynwald, during the years 2013, 2014, 2016-2020. The measurement campaigns served different purposes, resulting in a large dataset containing survey data, CO2 response curves of photosynthesis, light response curves of photosynthesis, and fluorescence measurements. Measurements were done with LiCor 6400 and LiCor 6800 instruments. Until 2016, measurements were done on excised branches or branches lower in the canopy. From 2016 onwards, measurements were done in the top of the canopy using fixed installed scaffolds. All metadata can be found in the attached documents. proprietary
+pfynwaldgasexchange_1.0 2013-2020 gas exchange at Pfynwald ALL STAC Catalog 2021-01-01 2021-01-01 7.6105556, 46.3001905, 7.6163921, 46.3047564 https://cmr.earthdata.nasa.gov/search/concepts/C2789816347-ENVIDAT.umm_json Gas exchange was measured on control, irrigated and irrigation-stop trees at the irrigation experiment Pfynwald, during the years 2013, 2014, 2016-2020. The measurement campaigns served different purposes, resulting in a large dataset containing survey data, CO2 response curves of photosynthesis, light response curves of photosynthesis, and fluorescence measurements. Measurements were done with LiCor 6400 and LiCor 6800 instruments. Until 2016, measurements were done on excised branches or branches lower in the canopy. From 2016 onwards, measurements were done in the top of the canopy using fixed installed scaffolds. All metadata can be found in the attached documents. proprietary
phipsimpacts_1 Particle Habit Imaging and Polar Scattering Probe (PHIPS) IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-18 2023-02-28 -95.243, 33.261, -64.987, 48.237 https://cmr.earthdata.nasa.gov/search/concepts/C1995874351-GHRC_DAAC.umm_json The Particle Habit Imaging and Polar Scattering (PHIPS) Probes IMPACTS dataset consists of cloud particle imagery collected by the Particle Habit Imaging and Polar Scattering (PHIPS) probe onboard the NASA P-3 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. PHIPS allows for the measurement of particle shape, size, and habit. The browse files in this dataset contain the post-processed particle-by-particle stereo images (2 images from different angles) collected by PHIPS during the campaign. The files are available from January 18, 2020, through February 28, 2023, in PNG format. proprietary
phosphorus-and-nitrogen-leaching-from-beech-forest-soils_1.0 Phosphorus and nitrogen leaching from beech forest soils ENVIDAT STAC Catalog 2021-01-01 2021-01-01 9.927478, 50.3518, 10.26725, 52.838967 https://cmr.earthdata.nasa.gov/search/concepts/C2789816374-ENVIDAT.umm_json Data on dissolved organic and inorganic phosphorus and nitrogen concentrations in leachates and their corresponding fluxes from the litter layer, the Oe/Oa horizon, and the A horizon of two German beech forest sites. Leachate samples were taken in April 2018, July 2018, October 2018, Feb./Mar. 2019, and July 2019 with zero-tension lysimeters after artificial irrigation. Soil samples were taken in July 2019. For more details please refer to the publication. proprietary
photo_mosaic_laurens_or_1 Heard Island, Laurens Peninsula, Coastal Orthophoto Mosaic derived from Non-Metric Photography AU_AADC STAC Catalog 1980-01-01 2000-12-31 73.23, -53.05, 73.41, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C1214311224-AU_AADC.umm_json The orthophoto mosaic is a rectified georeferenced image of the Heard Island, Laurens Peninsula Coastal Area. Distortions due to relief and tilt displacement have been removed. Orthophotos were derived from non-metric cameras (focal length unknown). proprietary
@@ -20180,8 +20182,8 @@ pnet_4_and_5_817_1 PnET Models: Carbon, Nitrogen, Water Dynamics in Forest Ecosy
pnet_m_bgc_818_1 PnET-BGC: Modeling Biogeochemical Processes in a Northern Hardwood Forest Ecosystem ORNL_CLOUD STAC Catalog 2000-11-05 2001-12-31 -71.75, 43.94, -71.75, 43.94 https://cmr.earthdata.nasa.gov/search/concepts/C2956545421-ORNL_CLOUD.umm_json This archived model product contains the directions, executables, and procedures for running PnET-BGC to recreate the results of: Gbondo-Tugbawa, S.S., C.T. Driscoll , J.D. Aber and G.E. Likens. 2001. The evaluation of an integrated biogeochemical model (PnET-BGC) at a northern hardwood forest ecosystem. Water Resources Research 37:1057-1070Gbondo-Tugbawa et al,. 2001 Excerpt from Abstract: An integrated biogeochemical model (PnET-BGC) was formulated to simulate chemical transformations of vegetation, soil, and drainage water in northern forest ecosystems. The model operates on a monthly time step and depicts the major biogeochemical processes, such as forest canopy element transformations, hydrology, soil organic matter dynamics, nitrogen cycling, geochemical weathering, and chemical equilibrium reactions involving solid and solution phases. The model was evaluated against soil and stream data at the Hubbard Brook Experimental Forest, New Hampshire. Model predictions of concentrations and fluxes of major elements generally agreed reasonably well with measured values, as estimated by normalized mean error and normalized mean absolute error. Model output of soil base saturation and stream acid neutralizing capacity were sensitive to parameter values of soil partial pressure of carbon dioxide, soil mass, soil cation exchange capacity, and soil selectivity coefficients of calcium and aluminum. PnET-BGC can be used as a tool to evaluate the response of soil and water chemistry of forest ecosystems to disturbances such as clear-cutting, climatic events, and atmospheric deposition.PnET-BGC, was used to investigate inputs and dynamics of S in a northern hardwood forest at the Hubbard Brook Experimental Forest (HBEF) (Gbondo-Tugbawa et al., 2002). The changes in soil S pools and stream-water were simulated to assess the response 22 SO4 to both atmospheric S deposition and forest clear-cutting disturbances. Watershed studies across the northeastern United States have shown that stream losses of exceed atmospheric sulfur (S) deposition. Understanding the processes responsible for this additional source of S is critical to quantifying ecosystem response to ongoing and potential future controls on SO2 emission. proprietary
polar_star_0 Optical measurements taken in the Southern Ocean in 2002 OB_DAAC STAC Catalog 2002-03-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360619-OB_DAAC.umm_json Optical measurements taken in the Southern Ocean in 2002 proprietary
pollination-experiment-insect-traits_1.0 Pollination experiment: insect traits ENVIDAT STAC Catalog 2021-01-01 2021-01-01 8.4038544, 47.3003738, 8.6702728, 47.4380272 https://cmr.earthdata.nasa.gov/search/concepts/C2789816549-ENVIDAT.umm_json Understanding the interplay of local and landscape-scale drivers of plant-pollinator interactions is crucial to maintaining pollination services in urban environments. The data contains plant-pollinator interactions changed across two independent gradients of local flowering plant species richness and landscape-scale urbanisation level (proportional area of impervious surface within a 500-m radius) in 24 home gardens in the city of Zurich, Switzerland. The data also contains the trait values (tongue length, body size and activity time) of all visiting wild- and honeybees. proprietary
-population_counts_BI_1 Adelie penguin population counts for Bechervaise, Verner and Petersen Islands, Mawson AU_AADC STAC Catalog 1971-10-01 2005-02-01 62.8, -67.59, 62.82, -67.58 https://cmr.earthdata.nasa.gov/search/concepts/C1214313706-AU_AADC.umm_json Intermittent Adelie penguin population counts for Bechervaise, Verner and Petersen Islands, Mawson since 1971. Data include counts of occupied nests for the post 1990/91 data conducted on or about 2nd December. Data collected prior to this were obtained from ANARE Research Notes or field note books. These counts may not have been performed at the 'optimal' time for occupied nests counts, and when this is the case have been adjusted according to a 'correction' factor. The post 1990/91 data were completed as part of ASAC Project 2205, Adelie penguin research and monitoring in support of the CCAMLR Ecosystem Monitoring Project. The fields in this dataset are: Year Bechervaise Island Counts Verner Island Counts Petersen Island Counts Date Season occ nests (occupied nests) proprietary
population_counts_BI_1 Adelie penguin population counts for Bechervaise, Verner and Petersen Islands, Mawson ALL STAC Catalog 1971-10-01 2005-02-01 62.8, -67.59, 62.82, -67.58 https://cmr.earthdata.nasa.gov/search/concepts/C1214313706-AU_AADC.umm_json Intermittent Adelie penguin population counts for Bechervaise, Verner and Petersen Islands, Mawson since 1971. Data include counts of occupied nests for the post 1990/91 data conducted on or about 2nd December. Data collected prior to this were obtained from ANARE Research Notes or field note books. These counts may not have been performed at the 'optimal' time for occupied nests counts, and when this is the case have been adjusted according to a 'correction' factor. The post 1990/91 data were completed as part of ASAC Project 2205, Adelie penguin research and monitoring in support of the CCAMLR Ecosystem Monitoring Project. The fields in this dataset are: Year Bechervaise Island Counts Verner Island Counts Petersen Island Counts Date Season occ nests (occupied nests) proprietary
+population_counts_BI_1 Adelie penguin population counts for Bechervaise, Verner and Petersen Islands, Mawson AU_AADC STAC Catalog 1971-10-01 2005-02-01 62.8, -67.59, 62.82, -67.58 https://cmr.earthdata.nasa.gov/search/concepts/C1214313706-AU_AADC.umm_json Intermittent Adelie penguin population counts for Bechervaise, Verner and Petersen Islands, Mawson since 1971. Data include counts of occupied nests for the post 1990/91 data conducted on or about 2nd December. Data collected prior to this were obtained from ANARE Research Notes or field note books. These counts may not have been performed at the 'optimal' time for occupied nests counts, and when this is the case have been adjusted according to a 'correction' factor. The post 1990/91 data were completed as part of ASAC Project 2205, Adelie penguin research and monitoring in support of the CCAMLR Ecosystem Monitoring Project. The fields in this dataset are: Year Bechervaise Island Counts Verner Island Counts Petersen Island Counts Date Season occ nests (occupied nests) proprietary
potential-driving-factors-of-urban-transformations-of-austin-over-25-years_1.0 Potential driving factors of urban transformations of Austin over 25 years ENVIDAT STAC Catalog 2022-01-01 2022-01-01 -97.7493287, 30.2794116, -97.7493287, 30.2794116 https://cmr.earthdata.nasa.gov/search/concepts/C2789816648-ENVIDAT.umm_json In this study, the Austin metropolitan area, Texas, U.S., one of the fastest urban transformations and transformations regions, is selected to test the hypothesis that spatial planning and policies are important factors of urban transformations. Despite ample previous work in understanding the interactions between human and urban form transformation at specific areas, the actual interventions and outcomes of planning and policies (e.g., ‘smart growth’) on urban forms have been poorly measured. In this study, the potential influencing factors of urban transformations of Austin over 25 years were selected and collected. proprietary
potential_veg_xdeg_961_1 ISLSCP II Potential Natural Vegetation Cover ORNL_CLOUD STAC Catalog 1992-04-01 1993-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784887174-ORNL_CLOUD.umm_json This data set was developed to describe the state of the global land cover in terms of 15 major vegetation types, plus water, before alteration by humans. It forms a complement to the historical croplands data set developed by Ramankutty and Foley (1999). By overlaying the two, one can determine the extent to which natural vegetation has been cleared for cultivation. This data set can be used directly within spatially-explicit climate and biogeochemical models. There are four total files in this data set. Two files contain the land cover types representing potential natural vegetation before human alteration, and two other files contain those points in the original data set submitted by the Principal Investigator that have been modified in order to match the land/water mask of the ISLSCP Initiative II.The geographic distribution of contemporary land cover types can be derived from remotely-sensed data. However, humans now dominate much of the world and there is little evidence of the pre-human-settlement natural vegetation or Potential Natural Vegetation (PNV). PNV, as defined here, does not necessarily represent the world's natural pre-human-disturbance vegetation. Rather, our definition of PNV represents the world's vegetation cover that would most likely exist now in equilibrium with present-day climate and natural disturbance, in the absence of human activities. proprietary
potential_vegetation_684_1 LBA Regional Potential Vegetation, 5-min (Ramankutty and Foley) ORNL_CLOUD STAC Catalog 1900-01-01 1992-01-01 -85, -25, -30, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2777327573-ORNL_CLOUD.umm_json The data set consists of a subset for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 deg to 30 deg W, latitude 25 deg S to 10 deg N) of the 5-min resolution Global Potential Vegetation data set developed by Navin Ramankutty and Jon Foley at the University of Wisconsin. Data are available in both ASCII GRID and binary image file formats.The original map was derived at a 5-min resolution and contains natural vegetation classified into 15 types. proprietary
@@ -20369,22 +20371,22 @@ sbuparsimpacts_1 SBU Parsivel IMPACTS GHRC_DAAC STAC Catalog 2020-01-01 2023-03-
sbuplimpacts_1 SBU Pluvio Precipitation Gauge IMPACTS GHRC_DAAC STAC Catalog 2020-01-07 2023-03-02 -73.138, 40.8556, -72.8714, 40.90712 https://cmr.earthdata.nasa.gov/search/concepts/C1995869760-GHRC_DAAC.umm_json The SBU Pluvio Precipitation Gauge IMPACTS dataset consists of precipitation intensity and precipitation accumulation collected using the OTT Pluvio2 weighing rain gauge during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. NASA’s Earth Venture program funded IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. Data files in this dataset are available in ASCII-CSV format from January 7, 2020, through March 2, 2023. proprietary
sbuskylerimpacts_1 SBU X-band Phased Array Radar (SKYLER) IMPACTS GHRC_DAAC STAC Catalog 2022-01-17 2023-02-28 -77.4867, 40.1501, -71.266, 43.695 https://cmr.earthdata.nasa.gov/search/concepts/C2704110186-GHRC_DAAC.umm_json The SBU X-band Phased Array Radar (SKYLER) IMPACTS dataset consists of polarimetric radar data collected by the Stony Brook University (SBU) X-band Phased Array Radar (SKYLER) during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. SKYLER provided detailed observations of cloud and precipitation microphysics, specifically ice and snow processes. These data include reflectivity, mean velocity, spectrum width, linear depolarization ratio, differential reflectivity, differential phase, specific differential phase, co-polarized correlation coefficient, and signal-to-noise ratio. The dataset files are available from January 17, 2022, through February 28, 2023, in netCDF-4 format. proprietary
sbusndimpacts_1 SBU Mobile Soundings IMPACTS GHRC_DAAC STAC Catalog 2020-01-18 2023-02-28 -76.980629, 40.4841385, -70.8692093, 43.7849808 https://cmr.earthdata.nasa.gov/search/concepts/C1995869776-GHRC_DAAC.umm_json The SBU Mobile Sounding IMPACTS dataset consists of mobile sounding profiles collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA’s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. Mobile-sounding profiles were obtained about every three hours during snow events by Stony Brook University (SBU). The sounding measures temperature, humidity, height, and horizontal wind direction and speed in the atmosphere. Atmospheric pressure is calculated from GPS height. Data files are available from January 18, 2020, through February 28, 2023 in netCDF-3 format. proprietary
-scarmarbin_1647 Admiralty Bay Benthos Diversity Data Base (ABBED). Tanaidacea. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155436-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1647 Admiralty Bay Benthos Diversity Data Base (ABBED). Tanaidacea. SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155436-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
-scarmarbin_1648 Admiralty Bay Benthos Diversity Data Base (ABBED). Cumacea. SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155484-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
+scarmarbin_1647 Admiralty Bay Benthos Diversity Data Base (ABBED). Tanaidacea. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155436-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1648 Admiralty Bay Benthos Diversity Data Base (ABBED). Cumacea. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155484-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
+scarmarbin_1648 Admiralty Bay Benthos Diversity Data Base (ABBED). Cumacea. SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155484-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1649 Admiralty Bay Benthos Diversity Data Base (ABBED). Pycnogonida. SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155485-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1649 Admiralty Bay Benthos Diversity Data Base (ABBED). Pycnogonida. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155485-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1651 Admiralty Bay Benthos Diversity Data Base (ABBED). Polychaeta. 1979-80 ALL STAC Catalog 1979-01-01 1986-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155486-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1651 Admiralty Bay Benthos Diversity Data Base (ABBED). Polychaeta. 1979-80 SCIOPS STAC Catalog 1979-01-01 1986-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155486-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1716 Admiralty Bay Benthos Diversity Data Base (ABBED). Polychaeta. 1979-80 - scarmarbin_1716 ALL STAC Catalog 1979-12-27 1980-02-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1221420764-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1716 Admiralty Bay Benthos Diversity Data Base (ABBED). Polychaeta. 1979-80 - scarmarbin_1716 SCIOPS STAC Catalog 1979-12-27 1980-02-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1221420764-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
-scarmarbin_1772 Admiralty Bay Benthos Diversity Data Base (ABBED). Ophiuroidea. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155493-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1772 Admiralty Bay Benthos Diversity Data Base (ABBED). Ophiuroidea. SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155493-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
+scarmarbin_1772 Admiralty Bay Benthos Diversity Data Base (ABBED). Ophiuroidea. ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155493-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1806 Admiralty Bay Benthos Diversity Data Base (ABBED). Amphipoda (1997). ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155503-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1806 Admiralty Bay Benthos Diversity Data Base (ABBED). Amphipoda (1997). SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155503-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
-scarmarbin_1807 Admiralty Bay Benthos Diversity Data Base (ABBED). Gastropoda (1994). ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155504-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1807 Admiralty Bay Benthos Diversity Data Base (ABBED). Gastropoda (1994). SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155504-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
+scarmarbin_1807 Admiralty Bay Benthos Diversity Data Base (ABBED). Gastropoda (1994). ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155504-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1808 Admiralty Bay Benthos Diversity Data Base (ABBED). Gastropoda (1997). SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155505-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_1808 Admiralty Bay Benthos Diversity Data Base (ABBED). Gastropoda (1997). ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155505-SCIOPS.umm_json Information system on benthic organisms of Admiralty Bay (King George Island, South Shetland Islands, Antarctic). proprietary
scarmarbin_987 A Biotic Database of Indo-Pacific Marine Mollusks (Southern Ocean Collection) SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214155566-SCIOPS.umm_json The primary objective of this project is to provide a database of the estimated 25,000 named species of mollusks in the Indo-Pacific region, with summary data on their distribution and ecology. Another objective is to combine Indo-Pacific data with existing databases for Western Atlantic and Europe marine mollusk species and for higher taxa of mollusks to form the basis of a global database of Mollusca. This database will provide a uniform framework for linking specimen records from museum collections and data from fisheries to show spatial and temporal patterns of occurrence and abundance. This datasource provides primary access to the Indo-Pacific Mollusc Dataset using the obis schema. Data in the Indo-Paciffic Mollusc database use names from the Indo-Pacific Mollusc project together with point records from the Academy of Natural Sciences and the Australian Museum. Specimens referenced in this data set may be in the collections of either the Australian Museum or the Academy of Natural Sciences, but may have current identifications in those collections that are junior synonymys (or other junior names) of names in current use in the Indo-Pacific Mollusc database. proprietary
@@ -20403,8 +20405,8 @@ sea_ice_measurements_database_1 Extract of data from the sea ice measurements da
sea_surface_temp_1deg_980_1 ISLSCP II Sea Surface Temperature ORNL_CLOUD STAC Catalog 1971-01-01 2000-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784895830-ORNL_CLOUD.umm_json Sea surface temperature (SST) is an important indicator of the state of the earth climate system as well as a key variable in the coupling between the atmosphere and the ocean. Accurate knowledge of SST is essential for climate monitoring, prediction and research. It is also a key surface boundary condition for numerical weather prediction and for other atmospheric simulations using atmospheric general circulation models and regional models. SST also is important in gas exchange between the ocean and atmosphere, including the air-sea flux of carbon. Gridded SST products have been developed to satisfy these needs. There are 3 .zip files provided with this data set.Gridded monthly and weekly sea surface temperature (SST) and long term SST monthly climatology for the period 1971-2000 are provided here. Weekly normalized error variance fields are also provided with the weekly data. The data are derived using the National Oceanic and Atmospheric Administration (NOAA) Optimum Interpolation (OI) global sea surface temperature analyses that use seven days of in situ (ship and buoy) and satellite SST observations and SST values derived from sea ice concentration. These analyses are produced weekly using optimum interpolation (OI) on a 1-degree grid. The data sets included in the ISLSCP II data collection are produced using version 2 of the OI analyses, called OIv2. In this data set, the ISLSCP II staff have masked land areas based on the ISLSCP II land/water mask. A file describing the differences between the ISLSCP II mask and the original mask used is provided. proprietary
seaflux_1 SeaFlux Data Products V1 GHRC_DAAC STAC Catalog 1988-01-01 2018-12-31 -179.87, -85.549, 179.87, 85.549 https://cmr.earthdata.nasa.gov/search/concepts/C1995869798-GHRC_DAAC.umm_json The SeaFlux Data Products dataset consists of estimates of ocean surface latent and sensible heat fluxes, 2m and 10m wind speed, 2m and 10m air temperature, 2m and 10m air humidity, and skin sea surface temperature. This data product was created by using the SeaFlux V3 model. These data are available globally from January 1, 1988 through December 31, 2018 in netCDF-4 format. proprietary
seaice_icecores_nelladan_1985_1 Icecores from Sea Ice, Nella Dan, 1985 AU_AADC STAC Catalog 1985-10-27 1985-11-03 50.1, -66.1, 63, -62.4 https://cmr.earthdata.nasa.gov/search/concepts/C1214311287-AU_AADC.umm_json During voyage 1 of 1985, sixteen ice cores were drilled from sea ice. Details from those cores include the position they were drilled, length of the core, percentage of the core that was frazil ice, and comments on the state of the core, or observations of the ice make-up. Physical records are archived at the Australian Antarctic Division. proprietary
-seamap47 Aerial Surveys of Marine Birds and Mammals in Support of Oil Spill Response and Injury Assessment ALL STAC Catalog 1994-06-13 1997-11-22 -124.81862, 33.78087, -118.39433, 41.182 https://cmr.earthdata.nasa.gov/search/concepts/C1214589846-SCIOPS.umm_json Aerial Surveys of Marine Birds And Mammals In Support Of Oil Spill Response And Injury Assessment Studies: -- OSPR Aerial Surveys [Birds and Mammals] Study Code: OS Contract Number: FG7407-OS with California Department of Fish and Game (CDFG), Office of Spill Prevention and Response (OSPR); and 14-35-0001-30758 (Task 13293) with the Coastal Marine Institute, University of California, Santa Barbara. PRINCIPAL INVESTIGATOR(S)/AFFILIATION: Michael L. Bonnell, Ph.D. Institute of Marine Sciences, University of California, Santa Cruz proprietary
seamap47 Aerial Surveys of Marine Birds and Mammals in Support of Oil Spill Response and Injury Assessment SCIOPS STAC Catalog 1994-06-13 1997-11-22 -124.81862, 33.78087, -118.39433, 41.182 https://cmr.earthdata.nasa.gov/search/concepts/C1214589846-SCIOPS.umm_json Aerial Surveys of Marine Birds And Mammals In Support Of Oil Spill Response And Injury Assessment Studies: -- OSPR Aerial Surveys [Birds and Mammals] Study Code: OS Contract Number: FG7407-OS with California Department of Fish and Game (CDFG), Office of Spill Prevention and Response (OSPR); and 14-35-0001-30758 (Task 13293) with the Coastal Marine Institute, University of California, Santa Barbara. PRINCIPAL INVESTIGATOR(S)/AFFILIATION: Michael L. Bonnell, Ph.D. Institute of Marine Sciences, University of California, Santa Cruz proprietary
+seamap47 Aerial Surveys of Marine Birds and Mammals in Support of Oil Spill Response and Injury Assessment ALL STAC Catalog 1994-06-13 1997-11-22 -124.81862, 33.78087, -118.39433, 41.182 https://cmr.earthdata.nasa.gov/search/concepts/C1214589846-SCIOPS.umm_json Aerial Surveys of Marine Birds And Mammals In Support Of Oil Spill Response And Injury Assessment Studies: -- OSPR Aerial Surveys [Birds and Mammals] Study Code: OS Contract Number: FG7407-OS with California Department of Fish and Game (CDFG), Office of Spill Prevention and Response (OSPR); and 14-35-0001-30758 (Task 13293) with the Coastal Marine Institute, University of California, Santa Barbara. PRINCIPAL INVESTIGATOR(S)/AFFILIATION: Michael L. Bonnell, Ph.D. Institute of Marine Sciences, University of California, Santa Cruz proprietary
seasonal-fractional-snow-covered-area-algorithm_1.0 Seasonal fractional snow-covered area algorithm ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789817560-ENVIDAT.umm_json This is the source code for computing the seasonal fractional snow-covered area. It is written in Fortran 90. The code reads snow depth (HS) and snow water equivalent (SWE) data from the provided example file HS_SWE.txt and writes the computed fractional snow-covered area (fSCA) to a file fSCA.txt. The current version can be found in the WSL/SLF Gitlab repository: https://gitlabext.wsl.ch/snow-models/fractional-snow-covered-area proprietary
seasonal-snow-data-wy-2016-2022_1.0 Seasonal snow data for Switzerland OSHD - FSM2sohd ENVIDAT STAC Catalog 2023-01-01 2023-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226083044-ENVIDAT.umm_json This dataset includes gridded data on snow depth (m), snow water equivalent (mm), runoff from snow melt (mm) and snow cover fraction for Swtzerland. The data is spanning the water years 2016-2022 at a high spatial resolution of 250 m. Data are stored as daily results. proprietary
seawater-temp-casey-Dec03_1 Marine water temperatures around Casey station - December 2003 AU_AADC STAC Catalog 2003-12-01 2004-01-01 110.35217, -66.51326, 110.67627, -66.23146 https://cmr.earthdata.nasa.gov/search/concepts/C1214311249-AU_AADC.umm_json Water temperatures were recorded by Tidbit temperature loggers attached to experimental mesocosms suspended below the sea ice at four sites around Casey in summer 2003/04. Data are temperature in degrees Celsius automatically logged every 5 minutes between the 01/12/2003 and 31/12/2003 at Brown Bay inner (S66 16.811 E110 32.475) and McGrady Cove (S66 16.556 E110 34.392), and between 02/12/2003 and 01/01/2004 at Brown Bay outer (S66 16.811 E110 32.526) and O'Brien Bay (S66 18.730 E110 30.810). Three loggers were deployed at each site; loggers A and B - one attached to each of two mesocosms (perforated 20 litre food buckets) and another - logger I - attached to plastic tubing approximately 1 metre above the mesocosms. Only two data loggers (A and B) were deployed at Mcgrady Cove. Mesocosms were suspended two to three metres below the bottom edge of the sea ice through a 1 metre diameter hole and were periodically raised to the surface for short periods (~1 hour). This experiment was part of the short-term biomonitoring program for the Thala Valley Tip Clean-up at Casey during summer 2003/04. These data were collected as part of ASAC project 2201 (ASAC_2201 - Natural variability and human induced change in Antarctic nearshore marine benthic communities). See also other metadata records by Glenn Johnstone for related information. The fields in this dataset are: Date Time Temperature Location proprietary
@@ -20423,8 +20425,8 @@ sensitivity-of-modeled-snow-instability_1.0 Sensitivity of modeled snow instabil
sentinel-1-grd-bundle-1_NA Sentinel-1 - Level-1 - Interferometric Wide Swath Ground Range Detected High Resolution INPE STAC Catalog 2021-05-01 2024-06-17 -76.546547, -35.235916, -31.785385, 6.970906 https://cmr.earthdata.nasa.gov/search/concepts/C3108204188-INPE.umm_json Copernicus Sentinel-1 Level-1 Ground Range Detected (GRD) products consist of focused SAR data that has been detected, multi-looked and projected to ground range using an Earth ellipsoid model. This dataset contains interferometric wide swath ground range detected high resolution data available over Brazil. proprietary
sentinel-3-olci-l1-bundle-1_NA Sentinel-3/OLCI - Level-1B Full Resolution INPE STAC Catalog 2023-03-04 2024-06-17 -179.431, -45.0723, 179.987, 10.4204 https://cmr.earthdata.nasa.gov/search/concepts/C3108204728-INPE.umm_json Copernicus Sentinel-3/OLCI Level-1B product OL_1_EFR (EO processing mode for Full Resolution) over Brazil. proprietary
shadoz_ozonesonde_726_1 SAFARI 2000 SHADOZ Ozonesonde Data, Zambia and Regional Sites, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-01 2000-11-30 55.48, -7.98, 55.48, -7.98 https://cmr.earthdata.nasa.gov/search/concepts/C2789016629-ORNL_CLOUD.umm_json Ozonesonde launches were made by the Southern Hemisphere ADditional OZonesondes (SHADOZ) group as part of the SAFARI 2000 Dry Season Campaign in September 2000 (Thompson et al., 2002). Ozonesondes are balloon-borne instruments measuring profile ozone, as well as temperature and pressure from an attached radiosonde, up to 35 km in height (around 5 hPa in pressure coordinates) capturing the troposphere and lower stratospheric portion of the atmosphere. During the campaign, ozonesondes were launched daily during the height of the burning season and in a region of active biomass burning activity. proprietary
-shirley_dem_1 A digital elevation model (DEM) and orthophoto of Shirley Island, Windmill Islands, Antarctica AU_AADC STAC Catalog 2005-01-01 2007-05-01 110.473, -66.287, 110.509, -66.277 https://cmr.earthdata.nasa.gov/search/concepts/C1214311290-AU_AADC.umm_json This dataset includes: (i) a 2 metre resolution digital elevation model (DEM) of Shirley Island, Windmill Islands, Antarctica; (ii) reliability data for the DEM; (iii) contours interpolated from the DEM; and (iv) an orthophoto created using the DEM. The data are stored in the UTM zone 49 map projection. The horizontal datum is WGS84. The data were created by Robert Anders, Centre for Spatial Information Science, University of Tasmania, Australia to support the postgraduate research of Phillipa Bricher into the nesting sites of Adelie Penguins. See a related URL below for a map showing Shirley island. proprietary
shirley_dem_1 A digital elevation model (DEM) and orthophoto of Shirley Island, Windmill Islands, Antarctica ALL STAC Catalog 2005-01-01 2007-05-01 110.473, -66.287, 110.509, -66.277 https://cmr.earthdata.nasa.gov/search/concepts/C1214311290-AU_AADC.umm_json This dataset includes: (i) a 2 metre resolution digital elevation model (DEM) of Shirley Island, Windmill Islands, Antarctica; (ii) reliability data for the DEM; (iii) contours interpolated from the DEM; and (iv) an orthophoto created using the DEM. The data are stored in the UTM zone 49 map projection. The horizontal datum is WGS84. The data were created by Robert Anders, Centre for Spatial Information Science, University of Tasmania, Australia to support the postgraduate research of Phillipa Bricher into the nesting sites of Adelie Penguins. See a related URL below for a map showing Shirley island. proprietary
+shirley_dem_1 A digital elevation model (DEM) and orthophoto of Shirley Island, Windmill Islands, Antarctica AU_AADC STAC Catalog 2005-01-01 2007-05-01 110.473, -66.287, 110.509, -66.277 https://cmr.earthdata.nasa.gov/search/concepts/C1214311290-AU_AADC.umm_json This dataset includes: (i) a 2 metre resolution digital elevation model (DEM) of Shirley Island, Windmill Islands, Antarctica; (ii) reliability data for the DEM; (iii) contours interpolated from the DEM; and (iv) an orthophoto created using the DEM. The data are stored in the UTM zone 49 map projection. The horizontal datum is WGS84. The data were created by Robert Anders, Centre for Spatial Information Science, University of Tasmania, Australia to support the postgraduate research of Phillipa Bricher into the nesting sites of Adelie Penguins. See a related URL below for a map showing Shirley island. proprietary
simrad_SO Acoustic responses to water column features, Antarctic, Aug-Sept 2002, GLOBEC. SCIOPS STAC Catalog 2002-08-03 2002-09-15 -75.5, -68.75, -69.5, -65.75 https://cmr.earthdata.nasa.gov/search/concepts/C1214155475-SCIOPS.umm_json Using the hull mounted Simrad EK500 Scientific Sounder System, acoustic returns from 38, 120, and 200 kHz transducers were recorded continuously along ship's track from Aug 3 - Sept 15, 2002. Of interest, was the acoustic returns from zooplankton patches and density structures, and the signel correlations with known plankton tows and CTD casts. The survey area included the continental margin to the west of the Antarctic Peninsula extending from the northern tip of Adelaide Island to the southern portion of Alexander Island, Crystal Sound, and Marguerite Bay. These data have been reduced to daily files and are supported by software for manipulative purposes. Ship name/cruise ID/dates of cruise RVIB Nathaniel B. Palmer / NBP0204 / Jul 31-Sep 18 2002 proprietary
simrad_SO Acoustic responses to water column features, Antarctic, Aug-Sept 2002, GLOBEC. ALL STAC Catalog 2002-08-03 2002-09-15 -75.5, -68.75, -69.5, -65.75 https://cmr.earthdata.nasa.gov/search/concepts/C1214155475-SCIOPS.umm_json Using the hull mounted Simrad EK500 Scientific Sounder System, acoustic returns from 38, 120, and 200 kHz transducers were recorded continuously along ship's track from Aug 3 - Sept 15, 2002. Of interest, was the acoustic returns from zooplankton patches and density structures, and the signel correlations with known plankton tows and CTD casts. The survey area included the continental margin to the west of the Antarctic Peninsula extending from the northern tip of Adelaide Island to the southern portion of Alexander Island, Crystal Sound, and Marguerite Bay. These data have been reduced to daily files and are supported by software for manipulative purposes. Ship name/cruise ID/dates of cruise RVIB Nathaniel B. Palmer / NBP0204 / Jul 31-Sep 18 2002 proprietary
simulated-avalanche-problem-types-at-weissfluhjoch-1999-2017_1.0 Simulated avalanche problem types and seismic avalanche activity around Weissfluhjoch ENVIDAT STAC Catalog 2021-01-01 2021-01-01 9.80934, 46.82962, 9.80934, 46.82962 https://cmr.earthdata.nasa.gov/search/concepts/C2789817408-ENVIDAT.umm_json Avalanche problem types were derived from snow cover simulations with the models Crocus and SNOWPACK at the Weissfluhjoch study plot, Davos, CH. The data include annual frequencies of avalanche problem types for the seasons 1999-2017 and daily presence of avalanche problem types for the period 01.01.2016 - 30.04.2016. Avalanche activity was derived from two seismic sensor arrays deployed no further than 15 km from Weissfluhjoch, Davos, CH. The data cover the period 01.01.2016 - 30.04.2016. proprietary
@@ -20433,8 +20435,8 @@ simulating-chamois-populations_1.0 Simulating population divergence of Northern
sir_c Spaceborne Imaging Radar C-band (SIR-C) USGS_LTA STAC Catalog 1994-04-09 1994-10-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567913-USGS_LTA.umm_json "Spaceborne Imaging Radar-C (SIR-C) is part of an imaging radar system that was flown on board two Space Shuttle flights (9 - 20 April, 1994 and 30 September - 11 October, 1994). The USGS distributes the C-band (5.8 cm) and L-band (23.5 cm) data. All X-band (3 cm) data is distributed by DLR. There are several types of products that are derived from the SIR-C data: Survey Data is intended as a ""quick look"" browse for viewing the areas that were imaged by the SIR-C system. The data consists of a strip image of an entire data swath. Resolution is approximately 100 meters, processed to a 50-meter pixel spacing. Files are distributed via File Transfer Protocol (FTP) download. Precision (Standard) Data consists of a frame image of a data segment, which represents a processed subset of the data swath. It contains high-resolution multifrequency and multipolarization data. All precision data is in CEOS format. The following types of precision data products are available: Single-Look Complex (SLC) consists of one single-look file for each scene, per frequency. Each data segment will cover 50 kilometers along the flight track, and is broken into four processing runs (two L band, two C-band). Resolution and polarization will depend on the mode in which the data was collected. Available as calibrated or uncalibrated data. Multi-Look Complex (MLC) is based on an averaging of multiple looks, and consists of one file for each scene per frequency. Each data segment will cover 100 km along the flight track, and is broken into two processing runs (one L band and one C band). Polarization will depend on the modes in which the looks were collected. The data is available in 12.5- or 25-meter pixel spacing. Reformatted Signal Data (RSD) consists of the raw radar signal data only. Each data segment will cover 100 km along the flight track, and the segment will be broken into two processing runs (L-band and C-band). Interferometry Data consists of experimental multitemporal data that covers the same area. Most data takes were collected during repeat passes within the second flight (days 7, 8, 9, and/or 10). In addition, nine data takes were collected during the second flight that were repeat passes of the first flight. Most data takes were also single polarization, although dual and quad polarization data was also collected on some passes. A Digital Elevation Model (DEM) is not included with any of the SIR-C interferometric data. The following types of interferometry products are available: Interferometric Single-Look Complex (iSLC) consists of two or more uncalibrated SLC images that have been processed with the same Doppler centroid to allow interferometric processing. Each frame image covers 50 kilometers along the flight track. The data is available in CEOS format. Raw Interferogram product (RIn) involves the combination of two data takes over the same area to produce an interferogram for each frequency (L-band and C-band). The data is available in TAR format. Reformatted Signal Data (RSD) consists of radar signal data that has been processed from two or more data takes over the same area, but the data has not been combined. Although this is not technically an interferometric product, the RSD can then be used to generate an interferogram. Each frame will cover 100 km along the flight track. The data is available in CEOS format." proprietary
slgeo_1 SEDIMENT ANALYSIS NETWORK FOR DECISION SUPPORT (SANDS) LANDSAT GEOTIFF V1 GHRC_DAAC STAC Catalog 2000-09-11 2008-09-08 -91.7794, 27.8502, -82.6518, 31.417 https://cmr.earthdata.nasa.gov/search/concepts/C1979944011-GHRC_DAAC.umm_json The Sediment Analysis Network for Decision Support (SANDS) Landsat Geotiff dataset includes images for sediment redistribution after a hurricane on the coast of the Gulf of Mexico and then creates a product based on the analysis from September 11, 2000 to September 8, 2008. This dataset consists of the set of daytime GeoTiff images from Landsat 5 and Landsat 7 provided to Geological Survey of Alabama for their analysis. Subsetted coordinates are 31-27N latitude and 90-84.25W longitude (Gulf of Mexico coastline in Alabama and portions of Florida). These are seasonal data for storms. proprietary
slgsa_1 SEDIMENT ANALYSIS NETWORK FOR DECISION SUPPORT (SANDS) LANDSAT GEOLOGICAL SURVEY OF AL (GSA) ANALYSIS V1 GHRC_DAAC STAC Catalog 2000-09-11 2008-09-08 -90, 27, -84.25, 31 https://cmr.earthdata.nasa.gov/search/concepts/C1979944726-GHRC_DAAC.umm_json The Sediment Analysis Network for Decision Support (SANDS) Landsat Geological Survey of AL (GSA) Analysis dataset analyzed changes in the coastal shoreline and sedimentation using Landsat GeoTiff images as part of the Sediment Analysis Network for Decision Support (SANDS) project. The daytime GeoTiffs images from Landsat 5 and Landsat 7 were analyzed for sediment re-distribution after a hurricane over the Gulf of Mexico coastline in Alabama and part of the Florida area (coordinates 31 to 27 North latitude and 90 to 84.25 West longitude). These are seasonal data for storms from 2001-2008. In addition to the analyzed files, the data files include the ESRI files for zipped bands and grids, metadata, and storm temporal information for the sediment analysis images. proprietary
-slow-snow-compression_1.0 A grain-size driven transition in the deformation mechanism in slow snow compression ENVIDAT STAC Catalog 2023-01-01 2023-01-01 9.8417222, 46.8095077, 9.8417222, 46.8095077 https://cmr.earthdata.nasa.gov/search/concepts/C3226083057-ENVIDAT.umm_json We conducted consecutive loading-relaxation experiments at low strain rates to study the viscoplastic behavior of the intact ice matrix in snow. The experiments were conducted using a micro-compression stage within the X-ray tomography scanner in the SLF cold laboratory. Next, to evaluate the experiments, a novel, implicit solution of a transient scalar model was developed to estimate the stress exponent and time scales in the effective creep relation (Glen's law). The result reveals that, for the first time, a transition in the exponent in Glen's law depends on geometrical grain size. A cross-over of stress exponent $n=1.9$ for fine grains to $n=4.4$ for coarse grains is interpreted as a transition from grain boundary sliding to dislocation creep. The dataset includes compression force data from 11 experiments and corresponding 3D image data from tomography scans. proprietary
slow-snow-compression_1.0 A grain-size driven transition in the deformation mechanism in slow snow compression ALL STAC Catalog 2023-01-01 2023-01-01 9.8417222, 46.8095077, 9.8417222, 46.8095077 https://cmr.earthdata.nasa.gov/search/concepts/C3226083057-ENVIDAT.umm_json We conducted consecutive loading-relaxation experiments at low strain rates to study the viscoplastic behavior of the intact ice matrix in snow. The experiments were conducted using a micro-compression stage within the X-ray tomography scanner in the SLF cold laboratory. Next, to evaluate the experiments, a novel, implicit solution of a transient scalar model was developed to estimate the stress exponent and time scales in the effective creep relation (Glen's law). The result reveals that, for the first time, a transition in the exponent in Glen's law depends on geometrical grain size. A cross-over of stress exponent $n=1.9$ for fine grains to $n=4.4$ for coarse grains is interpreted as a transition from grain boundary sliding to dislocation creep. The dataset includes compression force data from 11 experiments and corresponding 3D image data from tomography scans. proprietary
+slow-snow-compression_1.0 A grain-size driven transition in the deformation mechanism in slow snow compression ENVIDAT STAC Catalog 2023-01-01 2023-01-01 9.8417222, 46.8095077, 9.8417222, 46.8095077 https://cmr.earthdata.nasa.gov/search/concepts/C3226083057-ENVIDAT.umm_json We conducted consecutive loading-relaxation experiments at low strain rates to study the viscoplastic behavior of the intact ice matrix in snow. The experiments were conducted using a micro-compression stage within the X-ray tomography scanner in the SLF cold laboratory. Next, to evaluate the experiments, a novel, implicit solution of a transient scalar model was developed to estimate the stress exponent and time scales in the effective creep relation (Glen's law). The result reveals that, for the first time, a transition in the exponent in Glen's law depends on geometrical grain size. A cross-over of stress exponent $n=1.9$ for fine grains to $n=4.4$ for coarse grains is interpreted as a transition from grain boundary sliding to dislocation creep. The dataset includes compression force data from 11 experiments and corresponding 3D image data from tomography scans. proprietary
smart_radiometers_727_1 SAFARI 2000 Surface Atmospheric Radiative Transfer (SMART), Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-15 2000-09-17 31.59, -24.97, 31.59, -24.97 https://cmr.earthdata.nasa.gov/search/concepts/C2789018469-ORNL_CLOUD.umm_json Surface-sensing Measurements for Radiative Transfer (SMART) and Chemical, Optical, and Microphysical Measurements of In-situ Troposphere (COMMIT) consist of a suite of instruments that measure (both in-situ and by remote sensing) parameters that help to characterize, as completely as possible, constituents of the atmosphere at a given location. SMART and COMMIT are mobile systems that can be deployed to locations that exhibit interesting atmospheric phenomena. This allows investigators to participate in coordinated measurement campaigns, such as SAFARI 2000.The SMART instruments were deployed to the Skukuza Airport from August 15 to September 17, 2000 to take part in the SAFARI 2000 Dry Season Aircraft Campaign. The SMART-COMMIT mission is designed to pursue the following goals: Earth Observing System (EOS) validation; innovative investigations; and long-term atmospheric monitoring. The results reported in this data set are for the following instruments deployed and measurements recorded at the Skukuza Airport site within the Kruger National Park: several broadband radiometers, for global, diffuse, direct downward solar irradiance and global infrared downward irradiance; meteorological sensors, for surface air temperature, pressure, relative humidity, and wind; and a Solar Spectral Flux Radiometer (NASA Ames) for spectral solar downward irradiance. proprietary
smgeo_1 SEDIMENT ANALYSIS NETWORK FOR DECISION SUPPORT (SANDS) MODIS GEOTIFF V1 GHRC_DAAC STAC Catalog 2000-09-11 2008-09-09 -90.0021, 27, -84.25, 31.0125 https://cmr.earthdata.nasa.gov/search/concepts/C1979944933-GHRC_DAAC.umm_json The Sediment Analysis Network for Decision Support (SANDS) MODIS GeoTIFF dataset consists of the set of GeoTIFF images provided to the Geological Survey of Alabama for their analysis. These are seasonal data for storms. The Sediment Analysis Network for Decision Support (SANDS) analyzes GeoTIFF images to determine sediment redistribution after a hurricane on the Gulf coast and then creates a product based on the analysis. proprietary
smgsa_1 SEDIMENT ANALYSIS NETWORK FOR DECISION SUPPORT (SANDS) MODIS GEOLOGICAL SURVEY OF AL (GSA) ANALYSIS V1 GHRC_DAAC STAC Catalog 2000-09-14 2008-09-08 -90, 27, -84.25, 31 https://cmr.earthdata.nasa.gov/search/concepts/C1979946278-GHRC_DAAC.umm_json The Sediment Analysis Network for Decision Support (SANDS) MODIS Geological Survey of AL (GSA) Analysis dataset consists of geoTIFF images were analyzed for sediment redistribution after hurricanes on the Gulf of Mexico. These are seasonal data for storms from September 14, 2000 to September 8, 2008. In addition to the analyzed files, the data files include the ESRI files for zipped bands and/or grids, metadata, and storm temporal information for the sediment analysis images. The Geological Survey of Alabama (GSA) generated this dataset from geoTIFF MODIS images as part of the Sediment Analysis Network for Decision Support (SANDS) project. proprietary
@@ -20469,12 +20471,12 @@ soilte1r_312_1 BOREAS TE-01 Soils Data over the SSA Tower Sites in Raster Format
solar-biomass-additional-references_1.0 Linking solar and biomass resources to generate renewable energy: can we find local complementarities in the agricultural setting? ENVIDAT STAC Catalog 2023-01-01 2023-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226083029-ENVIDAT.umm_json Additional references to the article: Linking solar and biomass resources to generate renewable en-ergy: can we find local complementarities in the agricultural setting? Gillianne Bowman, Thierry Huber, Vanessa Burg Energies, https://www.mdpi.com/1996-1073/16/3/1486 Today, the energy transition is underway to tackle the problems of climate change and energy sufficiency. For this transition to succeed, it is essential to use all available re-newable energy resources most efficiently. However, renewable energies often bring high volatility that needs to be balanced. One solution is to combine the use of different renewable sources to increase the overall energy output or reduce its environmental impact. Here, we estimate the agricultural solar and biomass resources at the local level in Switzerland, considering their spatial and temporal variability using Geographic In-formation Systems. We then identify the technologies that could allow synergies or complementarities. Overall, the technical agricultural resources potential is ~15 PJ/annus biogas yield from residual biomass and ~10 TWh/a electricity from solar installed on roofs (equivalent to ~36 PJ/a). Anaerobic digestion, combined heat & power plant, Raw manure separation, Biomethane upgrading, Power to X, Electrolysis, Chill generation and Pho-tovoltaic on biogas facilities could foster complementarity in the system if resources are pooled within the agricultural setting. Temporal complementarity at the farm scale can only lead to partial autarchy. The possible benefits from these complementarities should be better identified, particulary in looking looking at the economic viability of such systems. proprietary
soller_wetlands_674_1 LBA Regional Freshwater Wetlands, 1-Degree (Stillwell-Soller et al.) ORNL_CLOUD STAC Catalog 1995-01-01 1995-09-01 -85, -25, -30, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2777324266-ORNL_CLOUD.umm_json This data set consists of a subset of a 1-degree gridded global freshwater wetlands database (Stillwell-Soller et al. 1995). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The data are in ASCII GRID format.The global freshwater wetlands database was assembled from two data sets: Aselman and Crutzen's (1989) wetlands data set and Klinger's political Alaska data set (pers. comm. to L. M. Stillwell-Soller, 1995). The aim of Stillwell-Soller's global data set was to provide an accurate, comprehensive and uniform set of files for convenient specification of wetlands in global climate models. The main source of data was Aselman and Crutzen's global maps of percent cover for a variety of wetlands categories at 2.5-degree latitude by 5-degree longitude resolution. There was some reorganization for seasonally varying categories. Aselman and Crutzen's data were interpolated to a standard 1-degree by 1-degree grid through bilinear interpolation. Their data were geographically complete except for the Alaskan region, for which Klinger's data set provided values.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/soller_wetlands/comp/soller_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html. proprietary
sondecpexcv_1 Radiosondes CPEX-CV GHRC_DAAC STAC Catalog 2022-09-01 2022-09-29 -23.400798, 0.053658, -0.073876, 16.789384 https://cmr.earthdata.nasa.gov/search/concepts/C2748663117-GHRC_DAAC.umm_json The Radiosonde CPEX-CV dataset was collected during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign was based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These radiosonde data files include wind direction, dew point temperature, geopotential height, mixing ratio, atmospheric pressure, relative humidity, wind speed, temperature, potential temperature, equivalent potential temperature, and virtual potential temperature measurements at various levels of the troposphere. These data files are available from September 1, 2022, through September 29, 2022 in netCDF-4 format. proprietary
-sonobuoy_whale_SO Acoustic census of mysticete whales, Antarctic, Mar-Aug 2001, GLOBEC ALL STAC Catalog 2001-03-21 2001-08-28 -77.2, -70.3, -61.5, -59 https://cmr.earthdata.nasa.gov/search/concepts/C1214155588-SCIOPS.umm_json Mysticete whale calls were monitored/recorded via deployment of directional sonobuoys during March-August 2001. This monitoring technique is used to study whale distribution, behavior and aid in estimating populations. Deployments were either random or when whales were observed. The observed calls are identified by species. Ancillary calls by seals are reported but not identified by species. The survey area included the continental margin to the west of the Antarctic Peninsula extending from the northern tip of Adelaide Island to the southern portion of Alexander Island, Crystal Sound, and Marguerite Bay. Ship names/cruise ID/cruise dates R/V Laurence M. Gould / LMG0103 / Mar 18-Apr 13 2001 RVIB Nathaniel B. Palmer / NBP0103 / Apr 24-Jun 05 2001 RVIB Nathaniel B. Palmer / NBP0104 / Jul 24-Aug 31 2001 Access to the original acoustic recordings should be directed to the Investigator identified in this description. proprietary
sonobuoy_whale_SO Acoustic census of mysticete whales, Antarctic, Mar-Aug 2001, GLOBEC SCIOPS STAC Catalog 2001-03-21 2001-08-28 -77.2, -70.3, -61.5, -59 https://cmr.earthdata.nasa.gov/search/concepts/C1214155588-SCIOPS.umm_json Mysticete whale calls were monitored/recorded via deployment of directional sonobuoys during March-August 2001. This monitoring technique is used to study whale distribution, behavior and aid in estimating populations. Deployments were either random or when whales were observed. The observed calls are identified by species. Ancillary calls by seals are reported but not identified by species. The survey area included the continental margin to the west of the Antarctic Peninsula extending from the northern tip of Adelaide Island to the southern portion of Alexander Island, Crystal Sound, and Marguerite Bay. Ship names/cruise ID/cruise dates R/V Laurence M. Gould / LMG0103 / Mar 18-Apr 13 2001 RVIB Nathaniel B. Palmer / NBP0103 / Apr 24-Jun 05 2001 RVIB Nathaniel B. Palmer / NBP0104 / Jul 24-Aug 31 2001 Access to the original acoustic recordings should be directed to the Investigator identified in this description. proprietary
+sonobuoy_whale_SO Acoustic census of mysticete whales, Antarctic, Mar-Aug 2001, GLOBEC ALL STAC Catalog 2001-03-21 2001-08-28 -77.2, -70.3, -61.5, -59 https://cmr.earthdata.nasa.gov/search/concepts/C1214155588-SCIOPS.umm_json Mysticete whale calls were monitored/recorded via deployment of directional sonobuoys during March-August 2001. This monitoring technique is used to study whale distribution, behavior and aid in estimating populations. Deployments were either random or when whales were observed. The observed calls are identified by species. Ancillary calls by seals are reported but not identified by species. The survey area included the continental margin to the west of the Antarctic Peninsula extending from the northern tip of Adelaide Island to the southern portion of Alexander Island, Crystal Sound, and Marguerite Bay. Ship names/cruise ID/cruise dates R/V Laurence M. Gould / LMG0103 / Mar 18-Apr 13 2001 RVIB Nathaniel B. Palmer / NBP0103 / Apr 24-Jun 05 2001 RVIB Nathaniel B. Palmer / NBP0104 / Jul 24-Aug 31 2001 Access to the original acoustic recordings should be directed to the Investigator identified in this description. proprietary
source-code-climate-change-scenarios-at-hourly-resolution_1.0 Source code for: Climate change scenarios at hourly time-step over Switzerland from an enhanced temporal downscaling approach ENVIDAT STAC Catalog 2021-01-01 2021-01-01 180, -90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2789816944-ENVIDAT.umm_json This repository contains the source code of the analysis presented in the related paper. The code can be found in the following github repository: https://github.com/Chelmy88/temporal_downscaling This code can be used to perform temporal downscaling of meteorological time series from daily to hourly time steps and to perform the quality assessment described in the paper. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. proprietary
sources-and-turnover-of-soil-organic-matter-in-pfynwald-irrigation-experiment_1.0 Sources and turnover of soil organic matter in Pfynwald irrigation experiment ENVIDAT STAC Catalog 2023-01-01 2023-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226083043-ENVIDAT.umm_json This dataset contains all data on which the following publication below is based. Paper Citation: Guidi, C., Lehmann, M.M., Meusburger, K., Saurer, M., Vitali, V., Peter, M., Brunner, I., Hagedorn, F. (accepted). Tracing sources and turnover of soil organic matter in a long-term irrigated dry forest using a novel hydrogen isotope approach. Soil Biology and Biochemistry. Please cite this paper together with the citation for the datafile. Data from a 17-year-long irrigation experiment (Pfynwald, Switzerland) in a naturally dry forest dominated by 100-year-old pine trees (Pinus sylvestris). Data include: (1) Isotopic composition (stable isotope ratios of non-exchangeable hydrogen δ2Hn, carbon δ13C, and nitrogen δ15N) and Hn, C and N concentrations in SOM sources (fresh Pinus sylvestris needles, litter layer, fine roots), bulk SOM (organic layer, 0-2 cm, 2-5 cm, 60-80 cm), particle-size fractions (depths: 0-2 cm, 2-5 cm; cPOM: coarse POM; fPOM: fine POM; MOM: mineral-associated organic matter); (2) Mass loss, δ2Hn values and Hn concentrations of Pinus sylvestris fine roots and needle litter (litter decomposition experiments from Herzog et al. 2019, ISME journal, and Guidi et al. 2022, Global Change Biology); (3) Relative source contribution (foliar litter, fine roots, and mycelia) to bulk SOM and fractions estimated using Bayesian mixing models (R package MixSIAR, version 3.1.12) with irrigation and depth as fixed factors. The models were informed with δ13C, δ15N and δ2Hn values and C, N, and Hn concentrations of foliar litter, roots, and mycelia as input sources. Given the kinetic isotope fractionation occurring during microbial SOM decomposition, the mixing models were informed with isotope fractionation factors, representing the isotope enrichment from sources to soils; (4) Fraction of new organic Hn (Fnew) over the irrigation period, calculated using a simple end-member mixing model according to Balesdent et al. (1987) and mean residence time estimated as MRT = - t / ln (1 - Fnew), with t time in years since irrigation started and assuming single-pool model with first-order kinetics. proprietary
-sowers_0739491 2008 South Pole Firn Air Methane Isotopes ALL STAC Catalog 2008-12-01 2009-01-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214597995-SCIOPS.umm_json This project will involve the measurement of methane and other trace gases in firn air collected at South Pole, Antarctica. The analyses will include: methane isotopes, light non-methane hydrocarbons (ethane, propane, and n-butane), sulfur gases (OCS, CS2), and methyl halides (CH3Cl and CH3Br). The atmospheric burdens of these trace gases reflect changes in atmospheric OH, biomass burning, biogenic activity in terrestrial, oceanic, and wetland ecosystems, and industrial/agricultural activity. The goal of this project is to develop atmospheric histories for these trace gases over the last century through examination of depth profiles of these gases in South Pole firn air. The project will involve two phases: 1) a field campaign at South Pole, Antarctica to drill two firn holes and fill a total of ~200 flasks from depths reaching 120 m, 2) analysis of firn air at UCI, Penn State University, and several other collaborating laboratories. Atmospheric histories will be inferred from the measurements using a one dimensional advective/diffusive model of firn air transport. proprietary
sowers_0739491 2008 South Pole Firn Air Methane Isotopes SCIOPS STAC Catalog 2008-12-01 2009-01-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214597995-SCIOPS.umm_json This project will involve the measurement of methane and other trace gases in firn air collected at South Pole, Antarctica. The analyses will include: methane isotopes, light non-methane hydrocarbons (ethane, propane, and n-butane), sulfur gases (OCS, CS2), and methyl halides (CH3Cl and CH3Br). The atmospheric burdens of these trace gases reflect changes in atmospheric OH, biomass burning, biogenic activity in terrestrial, oceanic, and wetland ecosystems, and industrial/agricultural activity. The goal of this project is to develop atmospheric histories for these trace gases over the last century through examination of depth profiles of these gases in South Pole firn air. The project will involve two phases: 1) a field campaign at South Pole, Antarctica to drill two firn holes and fill a total of ~200 flasks from depths reaching 120 m, 2) analysis of firn air at UCI, Penn State University, and several other collaborating laboratories. Atmospheric histories will be inferred from the measurements using a one dimensional advective/diffusive model of firn air transport. proprietary
+sowers_0739491 2008 South Pole Firn Air Methane Isotopes ALL STAC Catalog 2008-12-01 2009-01-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214597995-SCIOPS.umm_json This project will involve the measurement of methane and other trace gases in firn air collected at South Pole, Antarctica. The analyses will include: methane isotopes, light non-methane hydrocarbons (ethane, propane, and n-butane), sulfur gases (OCS, CS2), and methyl halides (CH3Cl and CH3Br). The atmospheric burdens of these trace gases reflect changes in atmospheric OH, biomass burning, biogenic activity in terrestrial, oceanic, and wetland ecosystems, and industrial/agricultural activity. The goal of this project is to develop atmospheric histories for these trace gases over the last century through examination of depth profiles of these gases in South Pole firn air. The project will involve two phases: 1) a field campaign at South Pole, Antarctica to drill two firn holes and fill a total of ~200 flasks from depths reaching 120 m, 2) analysis of firn air at UCI, Penn State University, and several other collaborating laboratories. Atmospheric histories will be inferred from the measurements using a one dimensional advective/diffusive model of firn air transport. proprietary
spatial-modelling-of-ecological-indicator-values_1.0 Spatial modelling of ecological indicator values ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789817163-ENVIDAT.umm_json "Ecologically meaningful predictors are often neglected in plant distribution studies, resulting in incomplete niche quantification and low predictive power of species distribution models (SDMs). Because environmental data are rare and expensive to collect, and because their relationship with local climatic and topographic conditions are complex, mapping them over large geographic extents and at high spatial resolution remains a major challenge. Here, we derived environmental data layers by mapping ecological indicator values (EIVs) in space by using a large set of environmental predictors in Switzerland. This dataset contains the predictors (raster layers) generated and used in the following publication (Descombes et al. 2020). Only predictors for which we have the rights to share them are provided. Other datasets and predictors can be accessed via the original data provider. Details on the predictors and sources are fully described in the publication. The predictors are provided as GeoTIFF files, at 93 m spatial resolution and Mercator projection (""+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs""). The excel file (xlsx) provides a short description of the raster layers. Paper Citation: Descombes, P. et al. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography. (accepted)" proprietary
spatial-planning-brazil_1.0 Spatially explicit data to evaluate spatial planning outcomes in a coastal region in São Paulo State, Brazil ENVIDAT STAC Catalog 2022-01-01 2022-01-01 -46.1425781, -24.005155, -44.4836426, -23.1908626 https://cmr.earthdata.nasa.gov/search/concepts/C2789817270-ENVIDAT.umm_json "The present dataset is part of the published scientific paper entitled “The role of spatial planning in land change: An assessment of urban planning and nature conservation efficiency at the southeastern coast of Brazil” (Pierri Daunt, Inostroza and Hersperger, 2021). In this work, we evaluated the conformance of stated spatial planning goals and the outcomes in terms of urban compactness, basic services and housing provision, and nature conservation for different land-use strategies. We evaluate the 2005 Ecological-Economic Zoning (EEZ) and two municipal master plans from 2006 in a coastal region in São Paulo State, Brazil. We used Partial Least Squares Path Modelling (PLS-PM) to explain the relationship between the plan strategies and land-use change ten years after implementation in terms of urban compactness, basic services and housing increase, and nature conservation. We acquired the data for the explanatory variables from different sources listed on Table 1. Since the model is spatially explicit, all input data were transformed to a 30 m resolution raster. Regarding the evaluated spatial plans, we acquired the zones limits from the São Paulo State Environmental Planning Division (CPLA-SP), Ilhabela and Ubatuba municipality. 1) Land use and cover data: Urban persistence, Urban axial, Urban infill, Urban Isolates, Forest cover persistence, Forest cover gain, NDVI increase We acquired two Landsat Collection 1 Higher-Level Surface Reflectance images distributed by the U.S. Geological Survey (USGS), covering the entire study area (paths 76 and 77, row 220, WRS-2 reference system, https://earthexplorer.usgs.gov/). We classified one image acquired by the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one image from the Landsat 8 Operational Land Imager (OLI) sensor from 2015-08-15. We collected 100 samples for forest cover, 100 samples for built-up cover and 100 samples for other classes. We then classified these three classes of land cover at each image date using the Support Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using ENVI 5.0 software. Land-use and land-cover changes from 2005 to 2015 were quantified using map algebra, by mathematically adding them together in pairs (10*LULC2015 + LULC2005). We reclassified the LULC data into forest gain (conversion of any 2005 LULC to forest cover in 2015); forest persistence (2005 forested pixels that remained forested in 2015); new built-up area (conversion of any 2005 LULC to built-up in 2015); and urban maintenance (2005 built-up pixels that remained built-up in 2015). To describe the spatial configuration of the urban expansion, we classified the new built-up areas into axial, infill and isolated, following Inostroza et al. (2013) (For details, please refer to Supplementary Material I at the original publication). The NDVI was obtained from the same source used for the LULC data. With the Google Engine platform, we used an annual average for the best pixels (without clouds) for 2005 and 2015, and we calculated the changes between dates. We used increases of > 0.2 NDVI to represent an improvement in forest quality. 2) Federal Census data organization: Urban Basic Services and Housing indicator, socioeconomic and population: The data used to infer the values of basic services provision, socioeconomic and population drivers was derived from the Brazilian National Census data (IBGE, 2000 and 2010). Population density, permanent housing unit density, mean income, basic education, and the percentage of houses receiving waste collection, sanitation and water provision services, called basic services in the context of this study, were calculated per 30 m pixel. The Human Development Index is only available at the municipality level. We attributed the HDI for the vector file with the municipality border, and we rasterized (30 m resolution) this file in QGIS. Annual rates of change were then calculated to allow comparability between LULC periods. To infer the BSH, we used only areas with an increase in permanent housing density and basic services provision (See Supplementary Material I at the original publication). 3) Topographic drivers To infer the values of the topographic driver, we used the slope data and the Topographic Index Position (TPI) based on the digital elevation model from SRTM (30 m resolution) produced by ALOS (freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and both variables were considered constant from 2005 to 2015 (See Supplementary Material I at the original publication)." proprietary
species-distribution-maps-gdplants_1.0 Species distribution maps of Fagales and Pinales (GDPlants) ENVIDAT STAC Catalog 2022-01-01 2022-01-01 180, -90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2789817446-ENVIDAT.umm_json This database contains 1957 distribution maps of species from Fagales and Pinales constructed based on a method integrating polygon mapping and SDMs (Lyu et al., 2022). To construct the maps, we first collected occurrence data from 48 different sources. According to the number of occurrences after data cleaning, three kinds of maps are constructed: (1) For species with more than 20 occurrences, we performed SDM and polygon mapping described in Lyu et al. (2022) and select the integration of the two layers as the distribution range; (2) For species with more than 4 but less than 20 occurrences, we only use polygon mapping to draw the distribution range; (3) For species with less than 4 occurrences, a 20-km buffer was generated around the occurrences as the distribution range. The maps were manually checked and evaluated (see Note S3 and Table S9 in Lyu et al., 2022 for details). proprietary
@@ -20842,8 +20844,8 @@ urn:eop:VITO:TERRASCOPE_S5P_L3_SO2CBR_TD_V2_V2 Sentinel-5P Level-3 SO2CBR Daily
urn:eop:VITO:TERRASCOPE_S5P_L3_SO2CBR_TM_V2_V2 Sentinel-5P Level-3 SO2CBR Monthly Product - V2 FEDEO STAC Catalog 2018-07-01 2025-12-31 -180, -89, 180, 89 https://cmr.earthdata.nasa.gov/search/concepts/C3324213174-FEDEO.umm_json Contains binned Level-2 Sulfur Dioxide (SO2) vertical column products using COvariance-Based Retrieval Algorithm (COBRA) retrievals. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see http://stcorp.github.io/harp/doc/html/libharp_product.html? proprietary
urn:eop:VITO:TERRASCOPE_S5P_L3_SO2CBR_TY_V2_V2 Sentinel-5P Level-3 SO2CBR Yearly Product - V2 FEDEO STAC Catalog 2018-07-01 2025-12-31 -180, -89, 180, 89 https://cmr.earthdata.nasa.gov/search/concepts/C3324214083-FEDEO.umm_json Contains binned Level-2 Sulfur Dioxide (SO2) vertical column products using COvariance-Based Retrieval Algorithm (COBRA) retrievals. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see http://stcorp.github.io/harp/doc/html/libharp_product.html? proprietary
urn:ogc:def:EOP:VITO:VGT_P_1 Physical products of SPOT VEGETATION (VGT-P) FEDEO STAC Catalog 1998-04-01 2014-05-31 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2207472887-FEDEO.umm_json VGT-P (P= physical) products are adapted for scientific applications requiring highly accurate physical measurements. The data is corrected for system errors (error registration of the different channels, calibration of all the detectors along the line-array detectors for each spectral band) and resampled to predefined geographic projections chosen by the user. The pixel brightness count is the ground area's apparent reflectance as seen at the top of atmosphere (TOA). Auxiliary data supplied with the products allow users to process the original reflectance values using their own algorithms. The image products cover all or a part of a VEGETATION segment (data strip over land). The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level2A/Level2A proprietary
-urn:ogc:def:EOP:VITO:VGT_S10_1 10 Days Synthesis of SPOT VEGETATION Images (VGT-S10) ALL STAC Catalog 1998-04-01 2014-05-31 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.umm_json The VGT-S10 are near-global or continental, 10-daily composite images which are synthesised from the 'best available' observations registered in the course of every 'dekad' by the orbiting earth observation system SPOT-VEGETATION. The products provide data from all spectral bands (SWIR, NIR, RED, BLUE), the NDVI and auxiliary data on image acquisition parameters. The VEGETATION system allows operational and near real-time applications, at global, continental and regional scales, in very broad environmentally and socio-economically critical fields. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3 proprietary
urn:ogc:def:EOP:VITO:VGT_S10_1 10 Days Synthesis of SPOT VEGETATION Images (VGT-S10) FEDEO STAC Catalog 1998-04-01 2014-05-31 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.umm_json The VGT-S10 are near-global or continental, 10-daily composite images which are synthesised from the 'best available' observations registered in the course of every 'dekad' by the orbiting earth observation system SPOT-VEGETATION. The products provide data from all spectral bands (SWIR, NIR, RED, BLUE), the NDVI and auxiliary data on image acquisition parameters. The VEGETATION system allows operational and near real-time applications, at global, continental and regional scales, in very broad environmentally and socio-economically critical fields. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3 proprietary
+urn:ogc:def:EOP:VITO:VGT_S10_1 10 Days Synthesis of SPOT VEGETATION Images (VGT-S10) ALL STAC Catalog 1998-04-01 2014-05-31 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.umm_json The VGT-S10 are near-global or continental, 10-daily composite images which are synthesised from the 'best available' observations registered in the course of every 'dekad' by the orbiting earth observation system SPOT-VEGETATION. The products provide data from all spectral bands (SWIR, NIR, RED, BLUE), the NDVI and auxiliary data on image acquisition parameters. The VEGETATION system allows operational and near real-time applications, at global, continental and regional scales, in very broad environmentally and socio-economically critical fields. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3 proprietary
urn:ogc:def:EOP:VITO:VGT_S1_1 Global 1 Day Synthesis of SPOT VEGETATION Images (VGT-S1) FEDEO STAC Catalog 1998-04-01 2014-05-31 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2207472898-FEDEO.umm_json VGT-S1 products (daily synthesis) are composed of the 'Best available' ground reflectance measurements of all segments received during one day for the entire surface of the Earth. This is done for each of the images covering the same geographical area. The areas distant from the equator have more overlapping parts so the choice for the best pixel will be out of more data. These products provide data from all spectral bands, the NDVI and auxiliary data on image acquisition parameters. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3 proprietary
usgs_brd_pwrc_bioeco Biological and Ecological Characteristics of Terrestrial Vertebrate Species Residing in Estuaries - usgs_brd_pwrc_bioeco CEOS_EXTRA STAC Catalog 1980-01-01 -177.1, 13.71, -61.48, 76.63 https://cmr.earthdata.nasa.gov/search/concepts/C2231549948-CEOS_EXTRA.umm_json The Biomonitoring of Environmental Status and Trends (BEST) program is designed to assess and monitor the effects of environmental contaminants on biological resources, particularly those under the stewardship of the Department of the Interior. BEST examines contaminant issues at national, regional, and local scales, and uses field monitoring techniques and information assessment tools tailored to each scale. As part of this program, the threat of contaminants and other anthropogenic activities to terrestrial vertebrates residing in or near to Atlantic coast estuarine ecosystems is being evaluated by data synthesis and field activities. One of the objectives of this project is to evaluate the relative sensitivity and suitability of various wildlife species for regional contaminant monitoring of estuaries and ecological risk assessment. The purpose of the data is to assess and monitor the effects of environmental contaminants on biological resources, particularly those under the stewardship of the Department of the Interior. BEST examines contaminant issues at national, regional, and local scales, and uses field monitoring techniques and information assessment tools tailored to each scale. As part of this program, the threat of contaminants and other anthropogenic activities to terrestrial vertebrates residing in or near to Atlantic coast estuarine ecosystems is being evaluated by data synthesis and field activities. One of the objectives of this project is to evaluate the relative sensitivity and suitability of various wildlife species for regional contaminant monitoring of estuaries and ecological risk assessment. Information was obtained from http://www.pwrc.usgs.gov/contaminants-online/ and from Dr. Barnett Rattner of the U.S. Geological Survey, Patuxent Wildlife Research Center. proprietary
usgs_brd_pwrc_ceetv Contaminant Exposure and Effects - Terrestrial Vertebrates CEOS_EXTRA STAC Catalog 1938-01-01 -177.1, 13.71, -61.48, 76.63 https://cmr.earthdata.nasa.gov/search/concepts/C2231550548-CEOS_EXTRA.umm_json The Biomonitoring of Environmental Status and Trends (BEST) program of the Department of the resources under their stewardship. In accordance with the desire of many to continuously monitor the environmental health of our estuaries, much can be learned by summarizing existing temporal, geographic, and phylogenetic contaminant information. To this end, retrospective contamiant exposure and effects data for amphibians, reptiles, birds and mammals residing within 30 km. of the Atlantic, Gulf, Pacific, Alaskan, and Hawaiian coastal estuaries are being assembled through searches of published literature (e.g., Fish and Wildlife Review; BIOSIS) and databases (e.g., US EPA Ecological Incident Information System; USGS Diagnostic and Epizootic Databases), and compilation of summary data from unpublished reports of government natural resource agencies, private conservation groups, and universities. These contaminant vertebrates (CEE-TV) are being summarized using ACCESS in a 120 field format including species, collection time and site coordinates, sample matrix, contaminant concentration, biomarker and bioindicator responses, and source of information. This CEE-TV database (>11,000 records) has been imported into the ARC/INFO geographic information system (GIS), for purposes of examining geographic coverage and trends, and to identify critical data gaps. A preliminary risk assessment has been conducted to identify and characterize contaminants and other stressors potentially affecting terrestrial vertebrates that reside, migrate through or reproduce in these estuaries. The purpose of the Contaminant Exposure and Effects--Terrestrial Vertebrates (CEE-TV) Database is to provide a summary of known contaminant exposure and effects in terrestrial vertebrates in coastal and estuarine habitat. Data Set Credit goes to Jennifer Pearson, Nancy Golden, Lynda Garrett, Jonathan Cohen, Karen Eisenreich, Elise Larsen, Rebecca Kershnar, Roger Hothem. proprietary
@@ -20854,8 +20856,8 @@ usgs_nawqa_acf_surfacewater Apalachicola-Chatahoochee-Flint River Basin Surface
usgs_nawqa_acfriver_groundwater Apalachicola-Chatahoochee Flint River Basin Ground Water Data CEOS_EXTRA STAC Catalog 1992-08-01 1995-09-01 -86, 30, -81, 35 https://cmr.earthdata.nasa.gov/search/concepts/C2231550128-CEOS_EXTRA.umm_json Surface- and ground-water quality data were collected in the Apalachicola-Chattahoochee-Flint (ACF) River basin from August 1992 to September 1995 as part of the USGS National Water Quality Assessment (NAWQA) program described below. The ACF River basin drains about 19,800 square miles in western Georgia, eastern Alabama, and the Florida panhandle into the Apalachicola Bay, which discharges into the Gulf of Mexico. Data collected as part of this study focused on five major land uses: poultry production in the headwaters of the Chattahoochee River, urban and suburban areas of Metropolitan Atlanta and Columbus, silviculture in the piedmont and fall line hills, and row crop agriculture in the upper coastal plain (clastic hydrogeologic setting) and the lower coastal plain (karst hydrogeologic setting). This description is for the ground-water data. Data for the ground-water component of the ACF River basin study were collected as part of three studies: Study Unit Survey, Land Use Studies (Urban and Agriculture) and Agricultural flow system study. The data are grouped by study component and site type (wells, springs, drains, and pore water) and are subdivided into sets of data consisting of related constituents. A complete list of constituent names and MRL's are available. The user can view and retrieve these ground-water data sets: Field measurements, Nutrients, Organic carbon, Turbidity, Major Ions, Pesticides, Trace elements (collected as part of the Study Unit Survey and Urban Landuse only), Volatile organic compounds, Radionuclides and Stable isotopes. Ground-water quality data were collected at 161 sites within the ACF River basin. These sites included a combination of monitoring and domestic wells, springs and seeps, and subsurface drains. The data are concentrated in the Metropolitan Atlanta (urban land use) area and in the coastal plain (agricultural land use). These data and associated locator maps are accessible on the World Wide Web at the ACF NAWQA home page. Data are presented in manageable tables that are grouped based on land use, site type, and project component. The user can view maps and data tables on the computer screen, or downloaded data tables as tab delimited (RDB) files. Data collected as part of the ACF River basin study are presented by project component: surface-water, ground-water, special studies, streamflow, ancillary, and quality assurance data. The water-quality data are presented by major headings, including water-column, bed-sediment and tissue, and biological. The data are further subdivided into data sets consisting of related constituents. Data tables can be viewed on the users computer screen or retrieved to a users computer as a tab delimited Relational Data Base (RDB) file. To reduce the size of the pesticide, volatile organic compound, bed sediment and tissue, and trace element tables, only those compounds found equal to, or above the minimum reporting limit (MRL) for one or more sites within a group, are shown. The remaining compounds were not detected. A complete list of constituent names and MRL's are available. The National Water-Quality Assessment (NAWQA) Program of the U.S. Geological Survey (USGS) is designed to describe the status and trends in the quality of the Nation's ground- and surface-water resources and to provide a sound understanding of the natural and human factors that affect the quality of these resources (Leahy and others, 1990). Because much of the public concern over water quality stems from a desire to protect both human health and aquatic life, the NAWQA Program will, in addition to measuring physical and chemical indicators of water-quality, assess the status of aquatic life through surveys of fish, invertebrates, and benthic algae, and habitat conditions (National Research Council, 1990). As an integrated assessment of water quality incorporating physical, chemical, and biological components, the NAWQA Program is ecological in approach. proprietary
usgs_nps_agatefossilbeds Agate Fossil Beds National Monument, Field Plots Data Base for Vegetation Mapping ALL STAC Catalog 1995-07-10 1995-08-15 -103.8, 42.40833, -103.7, 42.44167 https://cmr.earthdata.nasa.gov/search/concepts/C2231549635-CEOS_EXTRA.umm_json "Vegetation field plots at Agate Fossil Beds NM were visited, described, and documented in a digital database. The database consists of 2 parts - (1) Physical Descriptive Data, and (2) Species Listings. The purpose of the field plots was to provide National Parks with the necessary tools to effectively manage their natural resources. Plot data is collected and analyzed to develop a classification (using the Standardized National Vegetation Classification System) and description of vegetation types in preparation for photointerpretation and mapping of the monument's vegetation types. The field plotting took place in the Agate Fossil Beds National Monument and a 400 meter buffer. Field sampling was done using releve plots. The descriptive plot data were collected for 39 sites whose vegetation represents a full spectrum of alliance types present within Agate Fossil Beds National Monument and its immediate surroundings. Physical description - Attributes collected for each site include: a plot number, a unique plot identification code, community name, field name, state, park name, quad name, map projection, datum, GPS file name, raw UTM coordinates, differentially corrected UTM coordinates, plot survey date, name(s) of surveyors, length, width, photo type, elevation, slope, aspect, topographic position, landform, surface geology, Cowardin System category, hydrology, surface material description, soil texture, soil drainage, leaf phenology, leaf type, and physiognomy. Species - Individual species described at each of 39 plots is listed, one line per species, with the following information: Plot Identification Code, Numeric Species Code, Species Name, Species Cover (0=trace, 1=< 1%, 2=1-5%, 3=5-25%, 4=25-50%, 5=50-75%, 6=75-100%), Plantcode, and Strata Code (T1=emergent, T2=canopy, T3=sub-canopy, S1=tall shrub, S2=short shrub, H=herbaceous, N=non-vascular, V=vinae/liana, E=epiphyte). Information for this metadata was taken from ""http://biology.usgs.gov/npsveg/agfo/metaagfofield.html""." proprietary
usgs_nps_agatefossilbeds Agate Fossil Beds National Monument, Field Plots Data Base for Vegetation Mapping CEOS_EXTRA STAC Catalog 1995-07-10 1995-08-15 -103.8, 42.40833, -103.7, 42.44167 https://cmr.earthdata.nasa.gov/search/concepts/C2231549635-CEOS_EXTRA.umm_json "Vegetation field plots at Agate Fossil Beds NM were visited, described, and documented in a digital database. The database consists of 2 parts - (1) Physical Descriptive Data, and (2) Species Listings. The purpose of the field plots was to provide National Parks with the necessary tools to effectively manage their natural resources. Plot data is collected and analyzed to develop a classification (using the Standardized National Vegetation Classification System) and description of vegetation types in preparation for photointerpretation and mapping of the monument's vegetation types. The field plotting took place in the Agate Fossil Beds National Monument and a 400 meter buffer. Field sampling was done using releve plots. The descriptive plot data were collected for 39 sites whose vegetation represents a full spectrum of alliance types present within Agate Fossil Beds National Monument and its immediate surroundings. Physical description - Attributes collected for each site include: a plot number, a unique plot identification code, community name, field name, state, park name, quad name, map projection, datum, GPS file name, raw UTM coordinates, differentially corrected UTM coordinates, plot survey date, name(s) of surveyors, length, width, photo type, elevation, slope, aspect, topographic position, landform, surface geology, Cowardin System category, hydrology, surface material description, soil texture, soil drainage, leaf phenology, leaf type, and physiognomy. Species - Individual species described at each of 39 plots is listed, one line per species, with the following information: Plot Identification Code, Numeric Species Code, Species Name, Species Cover (0=trace, 1=< 1%, 2=1-5%, 3=5-25%, 4=25-50%, 5=50-75%, 6=75-100%), Plantcode, and Strata Code (T1=emergent, T2=canopy, T3=sub-canopy, S1=tall shrub, S2=short shrub, H=herbaceous, N=non-vascular, V=vinae/liana, E=epiphyte). Information for this metadata was taken from ""http://biology.usgs.gov/npsveg/agfo/metaagfofield.html""." proprietary
-usgs_nps_agatefossilbedsspatial Agate Fossil Beds National Monument Spatial Vegetation Data: Cover Type/Association Level of the National Vegetation Classification System CEOS_EXTRA STAC Catalog 1995-07-29 1995-07-29 -103.8, 42.40833, -103.7, 42.44167 https://cmr.earthdata.nasa.gov/search/concepts/C2231550884-CEOS_EXTRA.umm_json "The National Park Service (NPS), in conjunction with the Biological Resources Division (BRD) of the U.S. Geological Survey (USGS), has implemented a program to ""develop a uniform hierarchical vegetation methodology"" at a national level. The program will also create a geographic information system (GIS) database for the parks under its management. The purpose of the data is to document the state of vegetation within the NPS service area during the 1990's, thereby providing a baseline study for further analysis at the Regional or Service-wide level. The vegetation units of this map were determined through stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signatures and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized National Vegetation Classification System (October 1995). The mapped vegetation reflects conditions that existed during the specific year and season that the aerial photographs were taken (July, 1995). There is an inherent margin of error in the use of aerial photography for vegetation delineation and classification. The purpose of this spatial data is to provide the National Park Service the necessary tools to manage the natural resources within this park system. Several parks, representing different regions, environmental conditions, and vegetation types, were chosen by BRD to be part of the prototype phase of the program. The initial goal of the prototype phase is to ""develop, test, refine, and finalize the standards and protocols"" to be used during the production phase of the project. This includes the development of a standardized vegetation classification system for each park and the establishment of photointerpretation, field, and accuracy assessment procedures. Agate Fossil Beds National Monument was designated as one of the prototype parks. The monument is located in the high Great Plains. It contains prairie, hill, and riverine environments, with vegetation types that include prairie grassland, riverine woodland, and wetlands. The vegetation units were photointerpreted from stereo-paired, natural color photography. Agate Fossil Beds National Monument was created by the National Park Service on June 5, 1965. The park occupies 4.5 square miles of land straddling the Niobrara River in the middle of the Nebraska Panhandle. The park is noted for its history, prehistoric fossils, and scenic quality. Historically, the park was a part of the Agate Springs Ranch, owned by Captain James H. Cook. The park has a collection of ranching and Native American artifacts and memorabilia as a result of its donation from the Ranch. Paleontologically, the park contains a number of Miocene fossil quarries that were excavated through the late 19th century and early 20th century. From a scenic aspect, the park has views of rolling hills, bluffs, and the Niobrara River floodplain. Ranching is also an active part of the landscape. The park is located in the grassy rolling hills of Western Nebraska. The park landscape consists of the east-west trending cap-rocked northern and southern hills, with the treeless Niobrara River floodplain running down the middle of the valley. The city of Harrison is located 23 miles to the north, Mitchell is 34 miles to the south. State Highway 29 runs north-south through the western part of the park. The Vegetation mapping was conducted in Agate Fossil Beds National Moument, Nebraska with a 400 meter buffer. A total of 39 plots were obtained from July 10 through August 15, 1995. These plots were used by TNC to describe the vegetation associations found within the park. These descriptions are in the companion report by TNC. Map Validation A field trip was conducted in August of 1997 to assess the initial mapping effort and to refine map class. Information for this metadata was taken from ""http://biology.usgs.gov/npsveg/agfo/metaagfospatial.html"" and converted to the NASA Directory Interchange Format. Another site to obtain the data is located at Online_Resource: ""ftp://ftp.cbi.usgs.gov/pub/vegmapping/agfo/agfo.exe""." proprietary
usgs_nps_agatefossilbedsspatial Agate Fossil Beds National Monument Spatial Vegetation Data: Cover Type/Association Level of the National Vegetation Classification System ALL STAC Catalog 1995-07-29 1995-07-29 -103.8, 42.40833, -103.7, 42.44167 https://cmr.earthdata.nasa.gov/search/concepts/C2231550884-CEOS_EXTRA.umm_json "The National Park Service (NPS), in conjunction with the Biological Resources Division (BRD) of the U.S. Geological Survey (USGS), has implemented a program to ""develop a uniform hierarchical vegetation methodology"" at a national level. The program will also create a geographic information system (GIS) database for the parks under its management. The purpose of the data is to document the state of vegetation within the NPS service area during the 1990's, thereby providing a baseline study for further analysis at the Regional or Service-wide level. The vegetation units of this map were determined through stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signatures and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized National Vegetation Classification System (October 1995). The mapped vegetation reflects conditions that existed during the specific year and season that the aerial photographs were taken (July, 1995). There is an inherent margin of error in the use of aerial photography for vegetation delineation and classification. The purpose of this spatial data is to provide the National Park Service the necessary tools to manage the natural resources within this park system. Several parks, representing different regions, environmental conditions, and vegetation types, were chosen by BRD to be part of the prototype phase of the program. The initial goal of the prototype phase is to ""develop, test, refine, and finalize the standards and protocols"" to be used during the production phase of the project. This includes the development of a standardized vegetation classification system for each park and the establishment of photointerpretation, field, and accuracy assessment procedures. Agate Fossil Beds National Monument was designated as one of the prototype parks. The monument is located in the high Great Plains. It contains prairie, hill, and riverine environments, with vegetation types that include prairie grassland, riverine woodland, and wetlands. The vegetation units were photointerpreted from stereo-paired, natural color photography. Agate Fossil Beds National Monument was created by the National Park Service on June 5, 1965. The park occupies 4.5 square miles of land straddling the Niobrara River in the middle of the Nebraska Panhandle. The park is noted for its history, prehistoric fossils, and scenic quality. Historically, the park was a part of the Agate Springs Ranch, owned by Captain James H. Cook. The park has a collection of ranching and Native American artifacts and memorabilia as a result of its donation from the Ranch. Paleontologically, the park contains a number of Miocene fossil quarries that were excavated through the late 19th century and early 20th century. From a scenic aspect, the park has views of rolling hills, bluffs, and the Niobrara River floodplain. Ranching is also an active part of the landscape. The park is located in the grassy rolling hills of Western Nebraska. The park landscape consists of the east-west trending cap-rocked northern and southern hills, with the treeless Niobrara River floodplain running down the middle of the valley. The city of Harrison is located 23 miles to the north, Mitchell is 34 miles to the south. State Highway 29 runs north-south through the western part of the park. The Vegetation mapping was conducted in Agate Fossil Beds National Moument, Nebraska with a 400 meter buffer. A total of 39 plots were obtained from July 10 through August 15, 1995. These plots were used by TNC to describe the vegetation associations found within the park. These descriptions are in the companion report by TNC. Map Validation A field trip was conducted in August of 1997 to assess the initial mapping effort and to refine map class. Information for this metadata was taken from ""http://biology.usgs.gov/npsveg/agfo/metaagfospatial.html"" and converted to the NASA Directory Interchange Format. Another site to obtain the data is located at Online_Resource: ""ftp://ftp.cbi.usgs.gov/pub/vegmapping/agfo/agfo.exe""." proprietary
+usgs_nps_agatefossilbedsspatial Agate Fossil Beds National Monument Spatial Vegetation Data: Cover Type/Association Level of the National Vegetation Classification System CEOS_EXTRA STAC Catalog 1995-07-29 1995-07-29 -103.8, 42.40833, -103.7, 42.44167 https://cmr.earthdata.nasa.gov/search/concepts/C2231550884-CEOS_EXTRA.umm_json "The National Park Service (NPS), in conjunction with the Biological Resources Division (BRD) of the U.S. Geological Survey (USGS), has implemented a program to ""develop a uniform hierarchical vegetation methodology"" at a national level. The program will also create a geographic information system (GIS) database for the parks under its management. The purpose of the data is to document the state of vegetation within the NPS service area during the 1990's, thereby providing a baseline study for further analysis at the Regional or Service-wide level. The vegetation units of this map were determined through stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signatures and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized National Vegetation Classification System (October 1995). The mapped vegetation reflects conditions that existed during the specific year and season that the aerial photographs were taken (July, 1995). There is an inherent margin of error in the use of aerial photography for vegetation delineation and classification. The purpose of this spatial data is to provide the National Park Service the necessary tools to manage the natural resources within this park system. Several parks, representing different regions, environmental conditions, and vegetation types, were chosen by BRD to be part of the prototype phase of the program. The initial goal of the prototype phase is to ""develop, test, refine, and finalize the standards and protocols"" to be used during the production phase of the project. This includes the development of a standardized vegetation classification system for each park and the establishment of photointerpretation, field, and accuracy assessment procedures. Agate Fossil Beds National Monument was designated as one of the prototype parks. The monument is located in the high Great Plains. It contains prairie, hill, and riverine environments, with vegetation types that include prairie grassland, riverine woodland, and wetlands. The vegetation units were photointerpreted from stereo-paired, natural color photography. Agate Fossil Beds National Monument was created by the National Park Service on June 5, 1965. The park occupies 4.5 square miles of land straddling the Niobrara River in the middle of the Nebraska Panhandle. The park is noted for its history, prehistoric fossils, and scenic quality. Historically, the park was a part of the Agate Springs Ranch, owned by Captain James H. Cook. The park has a collection of ranching and Native American artifacts and memorabilia as a result of its donation from the Ranch. Paleontologically, the park contains a number of Miocene fossil quarries that were excavated through the late 19th century and early 20th century. From a scenic aspect, the park has views of rolling hills, bluffs, and the Niobrara River floodplain. Ranching is also an active part of the landscape. The park is located in the grassy rolling hills of Western Nebraska. The park landscape consists of the east-west trending cap-rocked northern and southern hills, with the treeless Niobrara River floodplain running down the middle of the valley. The city of Harrison is located 23 miles to the north, Mitchell is 34 miles to the south. State Highway 29 runs north-south through the western part of the park. The Vegetation mapping was conducted in Agate Fossil Beds National Moument, Nebraska with a 400 meter buffer. A total of 39 plots were obtained from July 10 through August 15, 1995. These plots were used by TNC to describe the vegetation associations found within the park. These descriptions are in the companion report by TNC. Map Validation A field trip was conducted in August of 1997 to assess the initial mapping effort and to refine map class. Information for this metadata was taken from ""http://biology.usgs.gov/npsveg/agfo/metaagfospatial.html"" and converted to the NASA Directory Interchange Format. Another site to obtain the data is located at Online_Resource: ""ftp://ftp.cbi.usgs.gov/pub/vegmapping/agfo/agfo.exe""." proprietary
usgs_nps_congareeswamp Congaree Swamp National Monument Field Plots Data Base for Vegetation Mapping CEOS_EXTRA STAC Catalog 1996-06-01 1996-09-01 -80.85, 33.75, -80.67083, 33.84167 https://cmr.earthdata.nasa.gov/search/concepts/C2231552960-CEOS_EXTRA.umm_json "Vegetation field plots at Congaree Swamp National Monument were visited, described, and documented in a digital database. The database consists of 2 parts - (1) Physical Descriptive Data, and (2) Species Listings. The vegetation plots were used to describe the vegetation in and around Congaree Swamp National Monument and to assist in developing a final mapping classification system. On June 30, 1983, Congaree Swamp National Monument became an International Biosphere Reserve. Congaree is noted for containing one of the last significant stands of old growth bottomland hardwood forest, over 11,000 acres in all. The Monument contains over 90 species of trees, 16 of which hold state records for size. Included in this list of records is a national record sweet gum with a basal circumference of nearly 20 feet. Congaree Swamp National Monument is located approximately 15 miles southeast of Columbia, the state capitol of South Carolina. Old Bluff Highway (old Highway 48) lies just north of the Monument boundary. The eastern boundary is located just northwest of the confluence of the Congaree and Wateree Rivers. The Monument extends west to where Cedar Creek and Myers Creek join. The methods used for the sampling and analysis of vegetation data and the development of the classification generally followed the standards Doutline in the Field Methods for Vegetation Mapping document ""http://biology.usgs.gov/npsveg/fieldmethods/index.html"" produced for the USGS-NPS Vegetation Mapping project. This process began with the development of a provisional list of twenty-five vegetation types from teh International Classification of Ecological Communities (ICEC) that were thought to have a high likelihood of being in the park based on an initial field visit on 13-14 June, 1996. One hundred twenty-eight plots were sampled by two two-person field teams in July, August, and September of 1996. In a devation from the methodology outlined in the Field Methods document, initial sample points were selected in order to have plots in each of the aerial photograph signature types. The gradsect approach was rejected because there appeared to be no potential for stratifying sampling of the park based on slope, aspect, elevation, soil or other natural features due to a lack of available information. Furthermore, because of isolation from roads and trails of many portions of the park, it was deemed not feasible to use a transect to establish plot locations. After sampling, plots were tentatively assigned to the ICEC at the alliance level and our goal was to have at least five plots in each of the twenty-five provisional vegetation types. TIme limitations precluded the ability of the field teams to install ten plots in each of the expected vegetation types as recommended in the Field Methods document. The information for the metadata came from ""http://biology.usgs.gov/npsveg/cosw/metacoswfield.html""" proprietary
usgs_nps_congareeswampspatial Congaree Swamp National Monument Spatial Vegetation Data; Cover Type/Association Level of the National Vegetation Classification System CEOS_EXTRA STAC Catalog 1996-04-27 1996-04-27 -80.85, 33.75, -80.67083, 33.84167 https://cmr.earthdata.nasa.gov/search/concepts/C2231550252-CEOS_EXTRA.umm_json "The National Park Service (NPS), in conjunction with the Biological Resources Division (BRD) of the U.S. Geological Survey (USGS), has implemented a program to ""develop a uniform hierarchical vegetation methodology"" at a national level. The program will also create a geographic information system (GIS) database for the parks under its management. The purpose of the data is to document the state of vegetation within the NPS service area during the 1990's, thereby providing a baseline study for further analysis at the Regional or Service-wide level. The vegetation units of this map were determined through stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signatures and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized National Vegetation Classification System (October 1995). The mapped vegetation reflects conditions that existed during the specific year and season that the aerial photographs were taken (April, 1996). There is an inherent margin of error in the use of aerial photography for vegetation delineation and classification. The purpose of this spatial data is to provide the National Park Service the necessary tools to manage the natural resources within this park system. Several parks, representing different regions, environmental conditions, and vegetation types, were chosen by BRD to be part of the prototype phase of the program. The initial goal of the prototype phase is to ""develop, test, refine, and finalize the standards and protocols"" to be used during the production phase of the project. This includes the development of a standardized vegetation classification system for each park and the establishment of photointerpretation, field, and accuracy assessment procedures. Congaree Swamp National Monument was designated as one of the prototype parks. Congaree Swamp National Monument, established in 1976, was designated as one of the prototypes within the National Park System. The park contains approximately 22,200 acres (34 square miles). Congaree Swamp National Monument is located approximately 15 miles southeast of Columbia, the state capitol of South Carolina. The Congaree River, draining over 8,000 square miles of Piedmont land to the northwest, forms the southern border. On June 30, 1983, Congaree Swamp National Monument became an International Biosphere Reserve. Congaree is noted for containing one of the last significant stands of old growth bottomland hardwood forest, over 11,000 acres in all. The Monument contains over 90 species of trees, 16 of which hold state records for size. Included in this list of records is a national record sweet gum with a basal circumference of nearly 20 feet. Congaree Swamp National Monument is located approximately 15 miles southeast of Columbia, the state capitol of South Carolina. Old Bluff Highway (old Highway 48) lies just north of the Monument boundary. The eastern boundary is located just northwest of the confluence of the Congaree and Wateree Rivers. The Monument extends west to where Cedar Creek and Myers Creek join. The normal process in vegetation mapping is to conduct an initial field reconnaissance, map the vegetation units through photointerpretation, and then conduct a field verification. The field reconnaissance visit serves two major functions. First, the photointerpreter keys the signature on the aerial photos to the vegetation on the ground at each signature site. Second, the photointerpreter becomes familiar with the flora, vegetation communities and local ecology that occur in the study area. Park and/or TNC field biologists that are familiar with the local vegetation and ecology of the park are present to help the photointerpreter understand these elements and their relationship with the geography of the park. Upon completion of the field reconnaissance, photo interpreters delineate vegetation units on mylar that overlay the 9x9 aerial photos. This effort is conducted in accordance with the TNC vegetation classification and criteria for defining each community or alliance. The initial mapping is then followed by a field verification session, whose purpose is to verify that the vegetation units were mapped correctly. Any PI related questions are also addressed during the visit. The vegetation mapping at Congaree Swamp National Monument in general followed the normal mapping procedure as described in the above paragraph with two major exceptions: 1) Preliminary delineations for most of the park, including a set of Focused Transect overlays that were labeled with an initial PI signature commenced prior to the field reconnaissance visit. 2) A TNC classification did not exist at the time the initial delineations began. TNC ecologist and AIS photo interpreters worked together to develop an interim signature key which addressed what was known at the time. At that time, no comprehensive study containing plot data was available to create an interim classification. From the onset of the Vegetation Inventory and Mapping Program, a standardized program-wide mapping criteria has been used. The mapping criteria contains a set of documented working decision rules used to facilitate the maintenance of accuracy and consistency of the photointerpretation. This criteria assists the user in understanding the characteristics, definition and context for each vegetation community. The mapping criteria for Congaree Swamp National Monument was composed of four parts: The standardized program-wide general mapping criteria A park specific mapping criteria A working photo signature key The TNC classification, key and descriptions The following sections detail the mapping criteria used during the photointerpretation of Congaree Swamp. General Mapping Criteria The mapping criteria at Congaree Swamp are a modified version from previously mapped parks. The criteria differs primarily in that the height and density variables were not mapped at Congaree Swamp. Instead, two additional variables were addressed: pre-hurricane Hugo community types and areas of pine that have been logged since the time of the 1976 aerial photography. These two categories will be addressed in the Park Specific Mapping Criteria section of this report. Since forest densities within the Monument are nearly always greater than 60%, it served little or no purpose in addressing this element as a separate attribute in the database. In addition it was also determined that height categories are extremely difficult to map in the Monument due to variability of the tree emergent layer, and lack of any significant reference points that help in determining canopy heights. Alliance / Community Associations The assignment of alliance and community association to the vegetation is based on criteria formulated by the field effort and classification development. In the case of Congaree Swamp National Monument, TNC provided AIS with a tentative community classification in April 1998. A final vegetation classification, key, and descriptions of each alliance and community, was provided in October 1998. In addition, TNC provided AIS with detailed plot data showing how the communities were developed in the Monument. The information for the metadata came from ""http://biology.usgs.gov/npsveg/cosw/metacoswspatial.html"" and was converted to the NASA Directory Interchange Format." proprietary
usgs_nps_d_microbialcontam Microbial Contamination of Water Resources in the Chatahoochee River National Recreation Area, Georgia CEOS_EXTRA STAC Catalog 1999-03-01 2000-04-01 -86, 30, -81, 35 https://cmr.earthdata.nasa.gov/search/concepts/C2231549590-CEOS_EXTRA.umm_json The study area is the watershed for the Chattahoochee River from Buford Dam to just downstream of the mouth of Peachtree Creek. This study area includes the entire Chattahoochee River National Recreation Area, much of Metropolitan Atlanta, and extends downstream of two major wastewater treatment plant outfalls for the City of Atlanta and Cobb County. The 2-year study is for fiscal years 1999 and 2000. There are six months of microbial sampling in each fiscal year spanning from April 1, 1999 through March 30, 2000. This study measures fecal-indicator bacteria (fecal coliform, E. coli, and enterococci) every five days from April 1, 1999 to September 30, 1999 and every 8 days from October 1, 1999 to March 30, 2000 at three main stem Chattahoochee River sites. The five-day and eight-day sampling intervals will ensure mid week and weekend flow conditions are sampled. Indicator bacteria samples will also be collected during one 26-hour period to look at diel fluctuations. Another indicator bacteria (Clostridium perfringens), F-specific coliphages, somatic coliphages, and chemical sewage tracers will be measured as part of several synoptic surveys at 3 fixed sites and 9 synoptic sites. The 2-year project investigates the existence, severity, and extent of microbial contamination in the Chattahoochee River and 8 major tributaries within the Chattahoochee River National Recreation Area (CRNRA). High levels of fecal-indicator bacteria are the principal basis for impairment of streams in the CRNRA. Three data-collection activities include: 1.Fixed interval: Sample fecal-indicator bacteria and predictor variables (stream stage, stream flow, turbidity, and field water-quality parameters) every 5 days from April 1 to September 30, 1999 and every 8 days from October 1, 1999 to March 30, 2000 at 3 Chattahoochee River sites. (view map) 2.Synoptic surveys: Sample fecal-indicator bacteria, Clostridium perfringens, viruses, predictor variables, and chemical sewage tracers at 4 Chattahoochee River sites and 8 tributary sites during critical seasons and hydrologic conditions. 3.Diel samples: Sample fecal-indicator bacteria and predictor variables every 2 hours for one 26-hour period (August 4-5, 1999) at the Chattahoochee River at Atlanta, which is downstream of the CRNRA. Four proposed main stem sampling sites in downstream order on the Chattahoochee River include: 1.Chattahoochee River at Settles Bridge Road near Suwanee 2.Chattahoochee River at Johnsons Ferry Road near Atlanta 3.Chattahoochee River at Atlanta (Paces Ferry Road; downstream from Palisades Unit) 4.Chattahoochee River at State Highway 280, near Atlanta (Synoptic site only; downstream from all of the CRNRA, much of Metropolitan Atlanta, and 2 major wastewater treatment outfalls for the City of Atlanta and Cobb County; will provide microbial data for a Chattahoochee River site directly affected by point sources of wastewater effluent) Eight proposed tributary sampling sites within the CRNRA watershed in downstream order include: 1.James Creek near Cumming (James Burgess Road) 2.Suwanee Creek near Suwanee (at US Route 23, Buford Hwy) 3.Johns Creek near Warsaw (Buice Road) 4.Crooked Creek near Norcross (Spalding Road) 5.Big Creek near Roswell (below Water Works intake) 6.Willeo Creek near Roswell (State Route 120) 7.Sope Creek near Marietta (Lower Roswell Road) 8.Rottenwood Creek near Smyrna (Interstate Parkway North) In general, fecal-indicator bacteria are used to assess the public-health acceptability of water. The concentration of indicator bacteria is a measure of water safety for body-contact recreation or for consumption (Myers and Sylvester, 1997). Indicator bacteria do not typically cause diseases (pathogenic), but they indicate the possible presence of pathogenic organisms. Escherichia coli (E. coli) and enterococci are currently the preferred fecal indicators for recreational freshwaters because they are superior to fecal coliforms and fecal streptococci as predictors of swimming-associated gastroenteritis (Cabelli, 1977; Dufour, 1984); however fecal coliforms are still used by many states including Georgia to monitor recreational waters. Most historical indicator bacteria data for surface water within the CRNRA are fecal coliform counts collected once a month on a mid-weekday during normal working hours. This study proposes to measure fecal coliform using the membrane filter technique (preferred over the broth technique used by Georgia EPD),E. coli, and enterococci every five days during the recreation season at three main stem sites. The five-day cycle will ensure mid week and weekend flow conditions are sampled. All samples will be collected using USGS protocols for bacteria and equal width interval (EWI) sampling. Clostridium perfringens (C. perfringens) is another indicator bacteria that is present in large numbers in human and animal wastes, and its spores are more resistant to disinfection and environmental stresses than are most other bacteria. It is also a sensitive indicator of microorganisms that enter streams from point sources (Sorenson and others, 1989). It must be analyzed under anaerobic conditions in a laboratory and is best attempted by a biologist or highly trained technician. This study proposes to measure C. perfringens at 4 main stem and 8 tributary sites as part of synoptic surveys during critical seasons and hydrologic conditions. Because monitoring of enteric viruses is recognized as being difficult,time consuming, and expensive, some researchers advocate the use of coliphage for routine viral monitoring. Coliphages are bacteriophages that infect and replicate in coliform bacteria. Although somatic and Fecal-Specific coliphages are not consistently found in feces, they are found in high numbers in sewage and are thought to be reliable indicators of the sewage contamination of waters (International Association on Water Pollution Research and Control, 1991). Coliphage is also recognized to be representative of the survival transport of viruses in the environment. However, to date, they have not been found to correlate with the presence of pathogenic viruses. This study proposes to measure enteric viruses at 4 main stem and 8 tributary sites as part of synoptic surveys during critical seasons and hydrologic conditions. proprietary
@@ -20868,16 +20870,16 @@ usgs_nps_isleroyalespatial Isle Royale National Park Spatial Vegetation Data; Co
usgs_nps_jewelcave Jewel Cave National Monument, Field Plots Data Base for Vegetation Mapping CEOS_EXTRA STAC Catalog 1996-07-01 1996-08-01 -103.87, 43.62, -103.75, 43.77 https://cmr.earthdata.nasa.gov/search/concepts/C2231553594-CEOS_EXTRA.umm_json "Vegetation field plots at Jewel Cave NM were visited, described, and documented in a digital database. The database consists of 2 parts - (1) Physical Descriptive Data, and (2) Species Listing. The purpose is to provide National Parks with the necessary tools to effectively manage their natural resources. Plot data is collected and analyzed to develop a classification (using the Standardized National Vegetation Classification System) and description of vegetation types in preparation for photointerpretation and mapping of the monument's vegetation types. Field sampling was conducted using releve plots. Information for this metadata was obtained from the site ""http://biology.usgs.gov/npsveg/jeca/metajecafield.html"" and put into NASA Directory Interchange Format." proprietary
usgs_nps_jewelcavespatial Jewel Cave National Monument Spatial Vegetation Data;Cover Type / Association level of the National Vegetation Classification System CEOS_EXTRA STAC Catalog 1995-09-12 1995-09-12 -103.87, 43.62, -103.75, 43.77 https://cmr.earthdata.nasa.gov/search/concepts/C2231548897-CEOS_EXTRA.umm_json "The National Park Service (NPS), in conjunction with the Biological Resources Division (BRD) of the U.S. Geological Survey (USGS), has implemented a program to ""develop a uniform hierarchical vegetation methodology"" at a national level. The program will also create a geographic information system (GIS) database for the parks under its management. The purpose of the data is to document the state of vegetation within the NPS service area during the 1990's, thereby providing a baseline study for further analysis at the Regional or Service-wide level. The vegetation at Jewel Cave National Monument was mapped using 1:16,000 scale U.S. Forest Service Color Aerial Photography acquired August 22, 1993. The mapping classification used two separate classification systems. All natural vegetation used the National Vegetation Classification System (NVCS) as a base. The vegetation classification was created after extensive on site sampling and numerical analysis. The vegetation map units were derived from the vegetation classification. Other non-natural or cultural mapping units used the Anderson Level II classification system. The mapped area includes a buffer around the Monument boundary. This mapping effort originates from a long-term vegetation monitoring program that is part of a larger Inventory and Monitoring (I&M) program started by the National Park Service (NPS). I&M goals are, among others, to map the vegetation of all national parks and monuments and provide a baseline inventory of vegetation. The I&M program currently works in close cooperation with the Biological Resources Division (BRD) of the United States Geological Survey (USGS). The USGS/BRD continues overall management and oversight of all ongoing mapping efforts in close cooperation with the NPS. The purposes of the mapping effort are varied and include the following: Provides support for NPS Resources Management. Promotes vegetation-related research for both NPS and USGS/BRD. Provides support for NPS Planning and Compliance. Adds to the information base for NPS Interpretation. Assists in NPS Operations. The location of the mapping is Jewel Cave National Monument and about a 2 mile environs around Monument Boundaries - Black Hills, South Dakota. Jewel Cave National Monument was responsible for obtaining permission from adjacent land owners for property access for sampling purposes. Most of the private lands were under some form of grazing or farming. Consequently, sampling on these lands was not necessary. The remainder of the lands within the mapping area are U.S. Forest Service Lands so permission was not necessary. To reduce duplicating previous work and to help in our effort we collected existing vegetation reports and maps from the staff at Jewel Cave National Monument. These materials were referenced during the mapping process and the information contained in them was incorporated where it was deemed useful. Because soils also affect the distribution of vegetation, soil maps and soil descriptions were also obtained as reference. These were not converted to a digital file. Digital elevation models (DEM) were obtained to create slope and aspect maps that helped in determining vegetation community distribution. The sampling approach used in this mapping effort was typical of small park sampling, where all polygons within the park boundary are sampled. Two levels of field data gathering were conducted in this park; plots and observations. Plots represented the most intensive sampling of the landscape and used TNC's 'Plot Form'. Observations consisted of brief descriptions and were designed to obtain a quick overview of the landscape without spending a large amount of time at each sample site. Observation points used the 'Observation Form' data sheet. Examples of both 'Plot' and 'Observation' forms are included in the companion report by TNC. Initially, plots were used to describe the vegetation of the park. A total of 28 plots were obtained from July 29 through August 1, 1996. These plots were used by TNC to describe the vegetation associations found within the park. These descriptions are in the companion report by TNC. Map Validation A field trip was conducted in May of 1997 to assess the initial mapping effort and to refine map classes. Information for this metadata was obtained from the site ""http://biology.usgs.gov/npsveg/jeca/metajecaspatial.html"" and put into NASA Directory Interchange Format." proprietary
usgs_nps_mountrushmore Mount Rushmore National Monument, Field Plots Data Base for Vegetation Mapping CEOS_EXTRA STAC Catalog 1997-06-01 1997-08-01 -103.5, 43.8, -103.4, 43.9 https://cmr.earthdata.nasa.gov/search/concepts/C2231549070-CEOS_EXTRA.umm_json "Vegetation field plots at Mount Rushmore NM were visited, described, and documented in a digital database. The database consists of 2 parts - (1) Physical Descriptive Data, and (2) Species Listings. The purpose of the data plots were to provide National Parks with the necessary tools to effectively manage their natural resources. Plot data is collected and analyzed to develop a classification (using the Standardized National Vegetation Classification System) and description of vegetation types in preparation for photointerpretation and mapping of the monument's vegetation types. Field sampling was conducted using releve plots. Information for this metadata was obtained from the site ""http://biology.usgs.gov/npsveg/moru/metamorufield.html"" and put into NASA Directory Interchange Format." proprietary
-usgs_npwrc_acutetoxicity_Version 06JUL2000 Acute Toxicity of Fire-Control Chemicals, Nitrogenous Chemicals, and Surfactants to Rainbow Trout ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231551569-CEOS_EXTRA.umm_json Laboratory studies were conducted to determine the acute toxicity of three ammonia-based fire retardants (Fire-Trol LCA-F, Fire-Trol LCM-R, and Phos-Chek 259F), five surfactant-based fire-suppressant foams (FireFoam 103B, FireFoam 104, Fire Quench, ForExpan S, and Pyrocap B-136), three nitrogenous chemicals (ammonia, nitrate, and nitrite) and two anionic surfactants (linear alkylbenzene sulfonate [LAS] and sodium dodecyl sulfate [SDS]) to juvenile rainbow trout Oncorhynchus mykiss in soft water. The descending rank order of toxicity (96-h concentration lethal to 50% of test organisms [96-h LC50]) for the fire retardants was as follows: Phos-Chek 259F (168 mg/L) > Fire-Trol LCA-F (942 mg/L) = Fire-Trol LCM-R (1,141 mg/L). The descending rank order of toxicity for the foams was as follows: FireFoam 103B (12.2 mg/L) = FireFoam 104 (13.0 mg/L) > ForExpan S (21.8 mg/L) > Fire Quench (39.0 mg/L) > Pyrocap B-136 (156 mg/L). Except for Pyrocap B-136, the foams were more toxic than the fire retardants. Un-ionized ammonia (NH3; 0.125 mg/L as N) was about six times more toxic than nitrite (0.79 mg/L NO2-N) and about 13,300 times more toxic than nitrate (1,658 mg/L NO3-N). Linear alkylbenzene sulfonate (5.0 mg/L) was about five times more toxic than SDS (24.9 mg/L). Estimated total ammonia and NH3 concentrations at the 96-h LC50s of the fire retardants indicated that ammonia was the primary toxic component in these formulations. Based on estimated anionic surfactant concentrations at the 96-h LC50s of the foams and reference surfactants, LAS was intermediate in toxicity and SDS was less toxic to rainbow trout when compared with the foams. Comparisons of recommended application concentrations to the test results indicate that accidental inputs of these chemicals into streams require substantial dilutions (100-1,750-fold) to reach concentrations nonlethal to rainbow trout. proprietary
usgs_npwrc_acutetoxicity_Version 06JUL2000 Acute Toxicity of Fire-Control Chemicals, Nitrogenous Chemicals, and Surfactants to Rainbow Trout CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231551569-CEOS_EXTRA.umm_json Laboratory studies were conducted to determine the acute toxicity of three ammonia-based fire retardants (Fire-Trol LCA-F, Fire-Trol LCM-R, and Phos-Chek 259F), five surfactant-based fire-suppressant foams (FireFoam 103B, FireFoam 104, Fire Quench, ForExpan S, and Pyrocap B-136), three nitrogenous chemicals (ammonia, nitrate, and nitrite) and two anionic surfactants (linear alkylbenzene sulfonate [LAS] and sodium dodecyl sulfate [SDS]) to juvenile rainbow trout Oncorhynchus mykiss in soft water. The descending rank order of toxicity (96-h concentration lethal to 50% of test organisms [96-h LC50]) for the fire retardants was as follows: Phos-Chek 259F (168 mg/L) > Fire-Trol LCA-F (942 mg/L) = Fire-Trol LCM-R (1,141 mg/L). The descending rank order of toxicity for the foams was as follows: FireFoam 103B (12.2 mg/L) = FireFoam 104 (13.0 mg/L) > ForExpan S (21.8 mg/L) > Fire Quench (39.0 mg/L) > Pyrocap B-136 (156 mg/L). Except for Pyrocap B-136, the foams were more toxic than the fire retardants. Un-ionized ammonia (NH3; 0.125 mg/L as N) was about six times more toxic than nitrite (0.79 mg/L NO2-N) and about 13,300 times more toxic than nitrate (1,658 mg/L NO3-N). Linear alkylbenzene sulfonate (5.0 mg/L) was about five times more toxic than SDS (24.9 mg/L). Estimated total ammonia and NH3 concentrations at the 96-h LC50s of the fire retardants indicated that ammonia was the primary toxic component in these formulations. Based on estimated anionic surfactant concentrations at the 96-h LC50s of the foams and reference surfactants, LAS was intermediate in toxicity and SDS was less toxic to rainbow trout when compared with the foams. Comparisons of recommended application concentrations to the test results indicate that accidental inputs of these chemicals into streams require substantial dilutions (100-1,750-fold) to reach concentrations nonlethal to rainbow trout. proprietary
+usgs_npwrc_acutetoxicity_Version 06JUL2000 Acute Toxicity of Fire-Control Chemicals, Nitrogenous Chemicals, and Surfactants to Rainbow Trout ALL STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231551569-CEOS_EXTRA.umm_json Laboratory studies were conducted to determine the acute toxicity of three ammonia-based fire retardants (Fire-Trol LCA-F, Fire-Trol LCM-R, and Phos-Chek 259F), five surfactant-based fire-suppressant foams (FireFoam 103B, FireFoam 104, Fire Quench, ForExpan S, and Pyrocap B-136), three nitrogenous chemicals (ammonia, nitrate, and nitrite) and two anionic surfactants (linear alkylbenzene sulfonate [LAS] and sodium dodecyl sulfate [SDS]) to juvenile rainbow trout Oncorhynchus mykiss in soft water. The descending rank order of toxicity (96-h concentration lethal to 50% of test organisms [96-h LC50]) for the fire retardants was as follows: Phos-Chek 259F (168 mg/L) > Fire-Trol LCA-F (942 mg/L) = Fire-Trol LCM-R (1,141 mg/L). The descending rank order of toxicity for the foams was as follows: FireFoam 103B (12.2 mg/L) = FireFoam 104 (13.0 mg/L) > ForExpan S (21.8 mg/L) > Fire Quench (39.0 mg/L) > Pyrocap B-136 (156 mg/L). Except for Pyrocap B-136, the foams were more toxic than the fire retardants. Un-ionized ammonia (NH3; 0.125 mg/L as N) was about six times more toxic than nitrite (0.79 mg/L NO2-N) and about 13,300 times more toxic than nitrate (1,658 mg/L NO3-N). Linear alkylbenzene sulfonate (5.0 mg/L) was about five times more toxic than SDS (24.9 mg/L). Estimated total ammonia and NH3 concentrations at the 96-h LC50s of the fire retardants indicated that ammonia was the primary toxic component in these formulations. Based on estimated anionic surfactant concentrations at the 96-h LC50s of the foams and reference surfactants, LAS was intermediate in toxicity and SDS was less toxic to rainbow trout when compared with the foams. Comparisons of recommended application concentrations to the test results indicate that accidental inputs of these chemicals into streams require substantial dilutions (100-1,750-fold) to reach concentrations nonlethal to rainbow trout. proprietary
usgs_npwrc_alpha_Version 16MAY2000 Alpha Status, Dominance, and Division of Labor in Wolf Packs. CEOS_EXTRA STAC Catalog 1986-01-01 1998-12-31 -145.27, 37.3, -48.11, 87.61 https://cmr.earthdata.nasa.gov/search/concepts/C2231552683-CEOS_EXTRA.umm_json "The prevailing view of a wolf (Canis lupus) pack is that of a group of individuals ever vying for dominance but held in check by the ""alpha"" pair, the alpha male and the alpha female. Most research on the social dynamics of wolf packs, however, has been conducted on non-natural assortments of captive wolves. Here I describe the wolf-pack social order as it occurs in nature, discuss the alpha concept and social dominance and submission, and present data on the precise relationships among members in free-living packs based on a literature review and 13 summers of observations of wolves on Ellesmere Island, Northwest Territories, Canada. I conclude that the typical wolf pack is a family, with the adult parents guiding the activities of the group in a division-of-labor system in which the female predominates primarily in such activities as pup care and defense and the male primarily during foraging and food-provisioning and the travels associated with them." proprietary
usgs_npwrc_canvasbacks_Version 13NOV2001 Influence of Age and Selected Environmental Factors on Reproductive Performance of Canvasbacks CEOS_EXTRA STAC Catalog 1974-01-01 1980-01-01 -102.5, 48, -95, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2231549601-CEOS_EXTRA.umm_json Age, productivity, and other factors affecting breeding performance of canvasbacks (Aythya valisineria) are poorly understood. Consequently, we tested whether reproductive performance of female canvasbacks varied with age and selected environmental factors in southwestern Manitoba from 1974 to 1980. Neither clutch size, nest parasitism, nest success, nor the number of ducklings/brood varied with age. Return rates, nest initiation dates, renesting, and hen success were age-related. Return rates averaged 21% for second-year (SY) and 69% for after-second-year (ASY) females (58% for third-year and 79% for after-third-year females). Additionally, water conditions and spring temperatures influenced chronology of arrival, timing of nesting, and reproductive success. Nest initiation by birds of all ages was affected by minimum April temperatures. Clutch size was higher in nests initiated earlier. Interspecific nest parasitism did not affect clutch size, nest success, hen success, or hatching success. Nest success was lower in dry years (17%) than in moderately wet (54%) or wet (60%) years. Nests per female were highest during wet years. No nests of SY females were found in dry years. In years of moderate to good wetland conditions, females of all ages nested. Predation was the primary factor influencing nest success. Hen success averaged 58% over all years. The number of ducklings surviving 20 days averaged 4.7/brood. Because SY females have lower return rates and hen success than ASY females, especially during drier years, management to increase canvasback populations might best be directed to increasing first year recruitment (no. of females returning to breed) and to increasing overall breeding success by reducing predation and enhancing local habitat conditions during nesting. proprietary
usgs_npwrc_ducks_Version 07JAN98 Assessing Breeding Populations of Ducks by Ground Counts. CEOS_EXTRA STAC Catalog 1952-01-01 1959-12-31 -145.27, 37.3, -48.11, 87.61 https://cmr.earthdata.nasa.gov/search/concepts/C2231554819-CEOS_EXTRA.umm_json Waterfowl inventories taken during the breeding season are recognized as a basic technique in assessing the number of ducks per unit area. That waterfowl censusing is still an inexact technology leading to divergent interpretations of results is also recognized. The inexactness stems from a wide spectrum of factors that include weather, breeding phenology, asynchronous nesting periods, vegetative growth, species present and their daily activity, previous field experience of personnel, plus others (Stewart et al., 1958; Diem and Lu, 1960; Crissey, 1963a). In spite of the possible errors, accurate estimates are necessary to our understanding of production rates of all North American breeding waterfowl. Statistically adequate censuses of breeding pairs and accurate predictions of young produced per pair still remain as two of the primary statistics in determining yearly recruitment rate of species breeding in particular units of pond habitats. Without precise breeding pair and production data, the problems involved in describing the reproductive potential of any species and its environmental or density-dependent limiting factors cannot be adequately resolved. The purposes of this paper are to (1) describe methods used to estimate yearly breeding pair abundance on two study areas, one in Manitoba and the other in Saskatchewan; (2) assess the relative consistency, precision, and accuracy of pair counts as related to the breeding biology of duck species; and (3) recommend census methods that can more closely approximate absolute populations breeding in parkland and grassland habitats. proprietary
usgs_npwrc_graywolves_Version 30APR2001 Accuracy and Precision of Estimating Age of Gray Wolves by Tooth Wear CEOS_EXTRA STAC Catalog 1970-01-01 -168, 43.5, -75, 55 https://cmr.earthdata.nasa.gov/search/concepts/C2231553641-CEOS_EXTRA.umm_json We evaluated the accuracy and precision of tooth wear for aging gray wolves (Canis lupus) from Alaska, Minnesota, and Ontario based on 47 known-age or known-minimum-age skulls. Estimates of age using tooth wear and a commercial cementum annuli-aging service were useful for wolves up to 14 years old. The precision of estimates from cementum annuli was greater than estimates from tooth wear, but tooth wear estimates are more applicable in the field. We tended to overestimate age by 1-2 years and occasionally by 3 or 4 years. The commercial service aged young wolves with cementum annuli to within year of actual age, but under estimated ages of wolves 9 years old by 1-3 years. No differences were detected in tooth wear patterns for wild wolves from Alaska, Minnesota, and Ontario, nor between captive and wild wolves. Tooth wear was not appropriate for aging wolves with an underbite that prevented normal wear or severely broken and missing teeth. proprietary
usgs_npwrc_graywolves_Version 30APR2001 Accuracy and Precision of Estimating Age of Gray Wolves by Tooth Wear ALL STAC Catalog 1970-01-01 -168, 43.5, -75, 55 https://cmr.earthdata.nasa.gov/search/concepts/C2231553641-CEOS_EXTRA.umm_json We evaluated the accuracy and precision of tooth wear for aging gray wolves (Canis lupus) from Alaska, Minnesota, and Ontario based on 47 known-age or known-minimum-age skulls. Estimates of age using tooth wear and a commercial cementum annuli-aging service were useful for wolves up to 14 years old. The precision of estimates from cementum annuli was greater than estimates from tooth wear, but tooth wear estimates are more applicable in the field. We tended to overestimate age by 1-2 years and occasionally by 3 or 4 years. The commercial service aged young wolves with cementum annuli to within year of actual age, but under estimated ages of wolves 9 years old by 1-3 years. No differences were detected in tooth wear patterns for wild wolves from Alaska, Minnesota, and Ontario, nor between captive and wild wolves. Tooth wear was not appropriate for aging wolves with an underbite that prevented normal wear or severely broken and missing teeth. proprietary
usgs_npwrc_incidentalmarinecatc_Version 11APR2001 Incidental Catch of Marine Birds in the North Pacific High Seas Driftnet Fisheries in 1990. CEOS_EXTRA STAC Catalog 1990-01-01 1990-01-01 -140, 20, 140, 50 https://cmr.earthdata.nasa.gov/search/concepts/C2231553439-CEOS_EXTRA.umm_json "The incidental take of marine birds was estimated for the following North Pacific driftnet fisheries in 1990: Japanese squid, Japanese large-mesh, Korean squid, and Taiwanese squid and large-mesh combined. The take was estimated by assuming that the data represented a random sample from an unstratified population of all driftnet fisheries in the North Pacific. Estimates for 13 species or species groups are presented, along with some discussion of inadequacies of the design. About 416,000 marine birds were estimated to be taken incidentally during the 1990 season; 80 % of these were in the Japanese squid fishery. Sooty Shearwaters, Short-tailed Shearwaters, and Laysan Albatrosses were the most common species in the bycatch. Regression models were also developed to explore the relations between bycatch rate of three groups Black-footed Albatross, Laysan Albatross, and ""dark"" shearwatersand various explanatory variables, such as latitude, longitude, month, vessel, sea surface temperature, and net soak time (length of time nets were in the water). This was done for only the Japanese squid fishery, for which the most complete information was available. For modeling purposes, fishing operations for each vessel were grouped into 5-degree blocks of latitude and longitude. Results of model building indicated that vessel had a significant influence on bycatch rates of all three groups. This finding emphasizes the importance of the sample of vessels being representative of the entire fleet. In addition, bycatch rates of all three groups varied spatially and temporally. Bycatch rates for Laysan Albatrosses tended to decline during the fishing season, whereas those for Black-footed Albatrosses and dark shearwaters tended to increase as the season progressed. Bycatch rates were positively related to net soak time for Laysan Albatrosses and dark shearwaters. Bycatch rates of dark shearwaters were lower for higher sea surface temperatures." proprietary
-usgs_npwrc_manitobaspiders_Version 16JUL97 A Checklist of Manitoba Spiders (Araneae) with Notes on Geographic Relationships CEOS_EXTRA STAC Catalog 1970-01-01 -145.27, 37.3, -48.11, 87.61 https://cmr.earthdata.nasa.gov/search/concepts/C2231553142-CEOS_EXTRA.umm_json An annotated list of spider species is compiled from museum collections and several personal collections. This list includes 483 species in 20 families; 139 species are new provincial records. The spider fauna of Manitoba is compared with that of British Columbia, Quebec, and Newfoundland. Manitoba's spider fauna is composed of northern elements (arctic or subarctic species), boreal elements (holarctic or nearctic), and eastern elements (mainly species of the eastern deciduous forest), and a few that are regarded as introductions from abroad. Forty-three species reach the limits of their ranges here. This relatively small province (6.5% of the total land mass of Canada) contains 59% of the Canadian spider families and 37% of the Canadian species. proprietary
usgs_npwrc_manitobaspiders_Version 16JUL97 A Checklist of Manitoba Spiders (Araneae) with Notes on Geographic Relationships ALL STAC Catalog 1970-01-01 -145.27, 37.3, -48.11, 87.61 https://cmr.earthdata.nasa.gov/search/concepts/C2231553142-CEOS_EXTRA.umm_json An annotated list of spider species is compiled from museum collections and several personal collections. This list includes 483 species in 20 families; 139 species are new provincial records. The spider fauna of Manitoba is compared with that of British Columbia, Quebec, and Newfoundland. Manitoba's spider fauna is composed of northern elements (arctic or subarctic species), boreal elements (holarctic or nearctic), and eastern elements (mainly species of the eastern deciduous forest), and a few that are regarded as introductions from abroad. Forty-three species reach the limits of their ranges here. This relatively small province (6.5% of the total land mass of Canada) contains 59% of the Canadian spider families and 37% of the Canadian species. proprietary
+usgs_npwrc_manitobaspiders_Version 16JUL97 A Checklist of Manitoba Spiders (Araneae) with Notes on Geographic Relationships CEOS_EXTRA STAC Catalog 1970-01-01 -145.27, 37.3, -48.11, 87.61 https://cmr.earthdata.nasa.gov/search/concepts/C2231553142-CEOS_EXTRA.umm_json An annotated list of spider species is compiled from museum collections and several personal collections. This list includes 483 species in 20 families; 139 species are new provincial records. The spider fauna of Manitoba is compared with that of British Columbia, Quebec, and Newfoundland. Manitoba's spider fauna is composed of northern elements (arctic or subarctic species), boreal elements (holarctic or nearctic), and eastern elements (mainly species of the eastern deciduous forest), and a few that are regarded as introductions from abroad. Forty-three species reach the limits of their ranges here. This relatively small province (6.5% of the total land mass of Canada) contains 59% of the Canadian spider families and 37% of the Canadian species. proprietary
usgs_npwrc_muskoxen_Version 31MAY2000 Lack of Reproduction in Muskoxen and Arctic Hares Caused by Early Winter CEOS_EXTRA STAC Catalog 1998-07-01 1998-07-11 -86.1, 79.5, -85.9, 80.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231549051-CEOS_EXTRA.umm_json A lack of young muskoxen (Ovibos moschatus) and arctic hares (Lepus arcticus) in the Eureka area of Ellesmere Island, Northwest Territories (now Nunavut), Canada, was observed during summer 1998, in contrast to most other years since 1986. Evidence of malnourished muskoxen was also found. Early winter weather and a consequent 50% reduction of the 1997 summer replenishment period appeared to be the most likely cause, giving rise to a new hypothesis about conditions that might cause adverse demographic effects in arctic herbivores. The study area included a 150 km2 region of the Fosheim Peninsula in a 180o arc north of Eureka, Ellesmere Island, Nunavut, Canada (all within about 9 km of 80oN, 86oW). The area, extending from Eureka Sound to Remus Creek and from Slidre Fiord to Eastwind Lake, included shoreline, hills, lowlands, creek bottoms, and the west side of Blacktop Ridge. An associate, Layne Adams, and I spent 1-11 July 1998 in this area on all-terrain vehicles, following a pair of wolves Canis lupus (Mech, 1994). Adams and I also surveyed the surrounding area with binoculars for prey animals, in much the same manner that my assistants and I have practiced for one to six weeks each summer in the same area since 1986 (Mech, 1995, 1997). Because both muskoxen and arctic hares were common residents of the area during most years and were not the focus of our studies, no standardized counts were made. However, general field notes were sufficient to document that during most summers both species and their young were present. proprietary
usgs_npwrc_nestingsuccess_Version 26MAR2001 Importance of Individual Species of Predators on Nesting Success of Ducks in the Canadian Prairie Pothole Region CEOS_EXTRA STAC Catalog 1970-01-01 -145.27, 37.3, -48.11, 87.61 https://cmr.earthdata.nasa.gov/search/concepts/C2231551032-CEOS_EXTRA.umm_json We followed 3094 upland nests of several species of ducks. Clutches in most nests were lost to predation. We related daily nest predation rates to indices of activity of eight egg-eating predators, precipitation during the nesting season, and measures of wetland conditions. Activity indices of red fox (Vulpes vulpes), striped skunk (Mephitis mephitis), and raccoon (Procyon lotor) activity were positively correlated, as were activity indices of coyote (Canis latrans), Franklin's ground squirrel (Spermophilus franklinii), and black-billed magpie (Pica pica). Indices of fox and coyote activity were strongly negatively correlated (r = early-season nests were lower in areas and years in which larger fractions of seasonal wetlands contained water. For late-season nests, a similar relationship held involving semipermanent wetlands. We suspect that the wetland measures, which reflect precipitation during some previous period, also indicate vegetation growth and the abundance of buffer prey, factors that may influence nest predation rates. proprietary
usgs_npwrc_purpleloostrife_Version 04JUN99 Avian Use of Purple Loosestrife Dominated Habitat Relative to Other Vegetation Types in a Lake Huron Wetland Complex CEOS_EXTRA STAC Catalog 1994-01-01 1995-12-31 -84.2, 43.3, -82.5, 44.1 https://cmr.earthdata.nasa.gov/search/concepts/C2231555362-CEOS_EXTRA.umm_json Purple loosestrife (Lythrum salicaria), a native of Eurasia, is an introduced perennial plant in North American wetlands that displaces other wetland plants. Although not well studied, purple loosestrife is widely believed to have little value as habitat for birds. To examine the value of purple loosestrife as avian breeding habitat, we conducted early, mid-, and late season bird surveys during two years (1994 and 1995) at 258 18-m (0.1 ha) fixed-radius plots in coastal wetlands of Saginaw Bay, Lake Huron. We found that loosestrife-dominated habitats had higher avian densities, but lower avian diversities than other vegetation types. The six most commonly observed bird species in all habitats combined were Sedge Wren (Cistothorus platensis), Marsh Wren (C. palustris), Yellow Warbler (Dendroica petechia), Common Yellowthroat (Geothylpis trichas), Swamp Sparrow (Melospiza georgiana), and Red-winged Blackbird (Agelaius phoeniceus). Swamp Sparrow densities were highest and Marsh Wren densities were lowest in loosestrife dominated habitats. We observed ten breeding species in loosestrife dominated habitats. We conclude that avian use of loosestrife warrants further quantitative investigation because avian use may be higher than is commonly believed. Received 27 May 1998, accepted 26 Aug. 1998. proprietary
@@ -20897,8 +20899,8 @@ usgsbrdnpwrcd0000001_Version 15DEC98 An Assessment of Exotic Plant Species of Ro
usgsbrdnpwrcd0000003_Version 16JUL97 Human Disturbances of Waterfowl: An Annotated Bibliography. CEOS_EXTRA STAC Catalog 1970-01-01 -177.1, 13.71, -61.48, 76.63 https://cmr.earthdata.nasa.gov/search/concepts/C2231551896-CEOS_EXTRA.umm_json The expansion of outdoor recreational activities has increased greatly the interaction between the public and waterfowl and waterfowl habitat. The effects of these interactions on waterfowl habitats are more visible and obvious, whereas the effects of interactions which disrupt the normal behavior of waterfowl are more subtle and often overlooked, but perhaps no less of a problem than destruction of habitat. This bibliography contains excerpts or annotations from 211 articles that contained information about effects of human disturbances on waterfowl. Indices are provided for subject/keywords, geographic locations, species of waterfowl, and authors used in this bibliography. proprietary
usgsbrdnpwrcs0000004_Version 12MAY03 Collecting and Analyzing Data from Duck Nesting Studies CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231554360-CEOS_EXTRA.umm_json Northern Prairie has a long history of studying nest success of upland nesting ducks. Over the years, we have developed standardized procedures for collecting and analyzing these types of data. Data forms and instruction manuals developed by the Center are used widely by biologists throughout the northern Great Plains and elsewhere. Extensive use of standardized procedures led to a cooperative effort among Federal, State, Private, and other Non-Government Organizations that has allowed us to compile the Nest File, a data base of more than 75,000 duck nests spanning 30+ years in the northern Great Plains. proprietary
validation-of-the-critical-crack-length-in-snowpack_1.0 Validating and improving the critical crack length in SNOWPACK ENVIDAT STAC Catalog 2019-01-01 2019-01-01 9.78797, 46.80757, 9.809407, 46.8292944 https://cmr.earthdata.nasa.gov/search/concepts/C2789817607-ENVIDAT.umm_json To validate the critical crack length as implemented in the snow cover model SNOWPACK, PST experiments were conducted for three winter seasons (2015-2017) at two field site above Davos, Switzerland. This dataset contains manually observed snow profiles and stability tests. Furthermore, corresponding SNOWPACK simulations are included. These data were analyzed and results were published in Richter et al. (2019). Please refer to the Readme file for further details on the data. These data are the basis of the following publication: Richter, B., Schweizer, J., Rotach, M. W., and van Herwijnen, A.: Validating modeled critical crack length for crack propagation in the snow cover model SNOWPACK, The Cryosphere, 13, 3353–3366, https://doi.org/10.5194/tc-13-3353-2019, 2019. proprietary
-vanderford_data_1983_85_1 Airborne Topographic and Ice Thickness Survey of the Vanderford Glacier, 1983-85 ALL STAC Catalog 1983-01-01 1985-12-31 108, -67.5, 113, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214311394-AU_AADC.umm_json A report outlining the work done on the Vanderford (and Adams) glaciers in 1983/84 and 1984/85, detailing the methods they used for determining ice thickness and velocity. Includes a copy of the program used to process the raw data, gravity observations, and velocity results. These documents have been archived at the Australian Antarctic Division. proprietary
vanderford_data_1983_85_1 Airborne Topographic and Ice Thickness Survey of the Vanderford Glacier, 1983-85 AU_AADC STAC Catalog 1983-01-01 1985-12-31 108, -67.5, 113, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214311394-AU_AADC.umm_json A report outlining the work done on the Vanderford (and Adams) glaciers in 1983/84 and 1984/85, detailing the methods they used for determining ice thickness and velocity. Includes a copy of the program used to process the raw data, gravity observations, and velocity results. These documents have been archived at the Australian Antarctic Division. proprietary
+vanderford_data_1983_85_1 Airborne Topographic and Ice Thickness Survey of the Vanderford Glacier, 1983-85 ALL STAC Catalog 1983-01-01 1985-12-31 108, -67.5, 113, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214311394-AU_AADC.umm_json A report outlining the work done on the Vanderford (and Adams) glaciers in 1983/84 and 1984/85, detailing the methods they used for determining ice thickness and velocity. Includes a copy of the program used to process the raw data, gravity observations, and velocity results. These documents have been archived at the Australian Antarctic Division. proprietary
vanderford_gravity_1980_1 Gravity Readings, Vanderford Glacier 1980 AU_AADC STAC Catalog 1980-02-11 1980-02-15 110, -67.5, 112, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214311395-AU_AADC.umm_json A collection of gravity readings, taken on the Vanderford Glacier in February 1980. Also includes barometric pressure readings, taken at the same time, for determining the height of the location where the reading was taken. Physical copies of these documents have been stored in the Australian Antarctic Division records store. proprietary
vapour-isotopic-composition-along-air-parcel-trajectories-in-antarctic_1.0 Modeled Isotopic Composition of Water Vapour Along Air Parcel Trajectories in the Antarctic ENVIDAT STAC Catalog 2023-01-01 2023-01-01 174.375, -84.9479651, -179.546875, -42.7168763 https://cmr.earthdata.nasa.gov/search/concepts/C3226083103-ENVIDAT.umm_json # Summary This data set contains Python programming code and modeled data discussed in a related research article. We developed a simple isotope model to study the drivers of the particularly depleted vapour isotopic composition measured on the ship of the Antarctic Circumnavigation Expedition close to the outlet of the Mertz glacier, East Antarctica, in the 6-day period from 27 January 2017 to 1 February 2017. The model considers the stable water isotopologues H2(16O), H2(18O), and HD(16O). It uses data from the ERA5 reanalysis product with a spatial resolution of 0.25° x 0.25° (Hersbach et al., 2018) and 10-day backward trajectories for the location of the ship, published by Thurnherr et al. (2020a). Our data set includes the model code, Python scripts for visualizing the results, and data produced by the model including the results shown in the figures of the related research article. Here, we summarize the most important model characteristics while further details can be found in the readme.txt file and the related research article including its supporting information. # Main model characteristics The modeling approach consists of two steps called *Model Sublimation* and *Model Air Parcel*. The former estimates the isotopic compositions of the snow and sublimation flux across the Antarctic Ice Sheet using an Eulerian frame of reference while the latter models the vapour isotopic composition and specific humidity along air parcel trajectories using a Lagrangian frame of reference. The isotope effects of most phase changes are represented by equilibrium fractionation. Only for ocean evaporation, kinetic fractionation is additionally taken into account (original Craig-Gordon formula). For snow sublimation, two assumptions are tested: *Run E* assumes that sublimation is associated with equilibrium fractionation while *Run N* assumes that sublimation occurs without isotopic fractionation. ### Model Sublimation Model Sublimation uses a simple one-dimensional mass-balance approach in each grid cell, considering snow accumulation due to snowfall and vapour deposition and snow ablation due to sublimation. The snowpack is represented by 100 layers of equal thickness (e.g., 1 cm) and density (350 kg m-3). The isotopic composition of snowfall is parameterized by generalizing a site-specific, empirical relationship between the daily mean air temperature and snowfall isotopic composition. In the case of vapour deposition, Model Sublimation assumes equilibrium fractionation and estimates the isotopic composition of the atmospheric vapour as the average value for two idealized situations: (i) locally sourced vapour which has the same isotopic composition as the sublimation flux; (ii) non-locally sourced vapour in isotopic equilibrium with snowfall. Model Sublimation is run with a time step of 1 h, independently of Model Air Parcel. ### Model Air Parcel Every hour, an ensemble of trajectories arrives at different heights in the ABL above the ship. For each of these trajectories, we consider an air parcel with a constant volume of 1 x 1 x 1 m3. The air parcels are initialized at the first suitable time when the trajectories are located in the ABL, either over the ice-free ocean in conditions of evaporation or over snow (Antarctic Ice Sheet or sea ice). Subsequently, the masses of the water isotopologues in the air parcels are simulated with a time step of 3 h, considering vapour uptake or removal due to the moisture flux at the snow or liquid ocean surface (only if the parcel is in the ABL) and cloud/precipitation formation (if the saturation specific humidity is reached). Sea ice is taken into account in a very simplified way. We represent the sea ice by grid cells with a sea-ice cover of more than 90% and assume the isotopic composition of the sublimation flux to be identical to that in the nearest grid cell of the Antarctic Ice Sheet. The isotopic composition of the sublimation flux is taken from Model Sublimation whereas the isotopic composition of the vapour deposition flux (over snow) and condensation flux (over ice-free ocean) is simulated assuming an isotopic equilibrium with the air parcel. Isotope effects of cloud/precipitation formation are represented using the classic Rayleigh distillation model with equilibrium fractionation, where the cloud water is assumed to precipitate immediately after formation. # References Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horanyi, A., Munoz Sabater, J.,... others (2018). *ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS)*. doi: 10.24381/cds.bd0915c6 Thurnherr, I., Wernli, H., & Aemisegger, F. (2020a). *10-day backward trajectories from ECMWF analysis data along the ship track of the Antarctic Circumnavigation Expedition in austral summer 2016/2017*. Zenodo. doi: 10.5281/zenodo.4031705 proprietary
veg_continuous_fields_xdeg_931_1 ISLSCP II Continuous Fields of Vegetation Cover, 1992-1993 ORNL_CLOUD STAC Catalog 1992-04-01 1993-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784863182-ORNL_CLOUD.umm_json The objective of this study was to derive continuous fields of vegetation cover from multi-temporal Advanced Very High Resolution Radiometer (AVHRR) data using all available bands and derived Normalized Difference Vegetation Index (NDVI). The continuous fields describe sub-pixel proportions of cover for tree, herbaceous, bare ground and water cover types. For tree cover, additional fields describing leaf longevity (evergreen and deciduous) and leaf morphology (broadleaf and needleleaf) were also generated. The modeling of carbon dynamics and climate require knowing tree characteristics such as these. These products were resampled and aggregated to 0.25, 0.5 and 1.0 degree grids for the International Satellite Land Surface Climatology Project (ISLSCP) data initiative II. The data set describes the geographic distributions of three fundamental vegetation characteristics: tree, herbaceous and bare ground cover, plus a water layer. For tree cover, leaf longevity and morphology layers were produced.This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. proprietary
@@ -20937,8 +20939,8 @@ waddington_0352584 A Unique Opportunity for In-Situ Measurement of Seasonally-Va
waldinventursihlwald_1.0 Supplementary Data Sample Plot Inventory Sihlwald ENVIDAT STAC Catalog 2020-01-01 2020-01-01 8.552084, 47.2538697, 8.552084, 47.2538697 https://cmr.earthdata.nasa.gov/search/concepts/C2789818127-ENVIDAT.umm_json # Supplementary Data Sample Plot Inventory Sihlwald The Sihlwald is one of the largest contiguous beech forests in the Swiss Plateau region. In the year 2000, timber harvesting was abandoned. Since 2007 the forest has been under strict protection as a natural forest reserve on an area of 1098 ha and since 2008 as a cantonal nature and landscape conservation area (SVO Sihlwald). Since 2010, it carries the national label ‘Nature discovery park’ (‘Naturerlebnispark’). As part of the national monitoring in nature forest reserves, a sampling inventory (calipering threshold of 7 cm) with 226 plots on an area of 917 ha was carried out in the Sihlwald in autumn and early winter 2017. The aim was to describe the state and development of the forest structure and make comparisons with earlier sampling inventories in the same area from 1981, 1989 and 2003. This dataset contains supplementary tables for the publication by Brändli et al. (2020). The metadata file describes the structure of the tables. proprietary
water-availability-of-swiss-forests-during-the-2015-and-2018-droughts_1.0 Water availability of Swiss forests during the 2015 and 2018 droughts ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789817096-ENVIDAT.umm_json The Swiss forests' water availability during the 2015 and 2018 droughts was modelled by implementing the mechanistic Soil-Vegetation-Atmosphere-Transport (SVAT) model LWF-Brook90 taking advantage of regionalized depth-resolved soil information and measured soil matric potential and eddy covariance data. Data include 1) csv of soil matrix potential and eddy covariance data, 2) csv of posterior model parameters, 3) geotiffs of plant-available water storage capacity until 1m soil depth and the potential rooting depth, 4) geotiffs of yearly average (2014-2019) of precipitation (P), actual evapotranspiration (ETa), evaporation as the sum of soil, snow and interception evaporation (E), actual transpiration (Ta), runoff (F) and total soil water storage (SWAT), 5) csv of simulated root water uptake aggregated for different soil depths per deciduous and coniferous trees across Switzerland at daily resolution and cumulative root fraction per soil depth for coniferous and deciduous sites, 6) geotiffs of the ratio of actual to potential transpiration (-) as mean of non-drought years 2014, 2016, 2017, 2019 and 2015 and 2018 for the month June, July, August, September and October, 7) geotiff of mean soil matric potential in the rooting zone in August 2018, 8) geotiffs of gravitational water capacity (mm) until 1 m soil depth and the maximum rooting depth (mrd), 9) geotiffs of uncertainties of the available water storage capacity (AWC) until 1m soil depth and the mean maximum rooting depth (mrd), 10) csv of average plant available - (AWC), gravitational (GWC) and residual (RES) water capacity per soil depth layer of the Swiss forest. proprietary
water-isotopes-plynlimon_1.0 Stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK ENVIDAT STAC Catalog 2019-01-01 2019-01-01 -3.7631607, 52.418789, -3.6402512, 52.4982845 https://cmr.earthdata.nasa.gov/search/concepts/C2789817232-ENVIDAT.umm_json The data base contains timeseries of stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK. One data set contains weekly stable water isotope data from the Lower Hafren and Tanllwyth catchments, and the other data set contains 7-hourly stable water isotope data from Upper Hafren. Both data sets also include chloride concentrations in precipitation and streamflow. proprietary
-wbandimpacts_1 ACHIEVE W-Band Cloud Radar IMPACTS ALL STAC Catalog 2023-01-23 2023-03-01 -72.861, 41.368, -71.655, 42.268 https://cmr.earthdata.nasa.gov/search/concepts/C3247862082-GHRC_DAAC.umm_json The ACHIEVE W-Band Cloud Radar IMPACTS dataset consists of reflectivity, signal-to-noise ratio, and radial velocity data measured during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. ACHIEVE W-Band Cloud Radar data are available from January 23, 2023, through March 1, 2023, in netCDF-4 format. proprietary
wbandimpacts_1 ACHIEVE W-Band Cloud Radar IMPACTS GHRC_DAAC STAC Catalog 2023-01-23 2023-03-01 -72.861, 41.368, -71.655, 42.268 https://cmr.earthdata.nasa.gov/search/concepts/C3247862082-GHRC_DAAC.umm_json The ACHIEVE W-Band Cloud Radar IMPACTS dataset consists of reflectivity, signal-to-noise ratio, and radial velocity data measured during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. ACHIEVE W-Band Cloud Radar data are available from January 23, 2023, through March 1, 2023, in netCDF-4 format. proprietary
+wbandimpacts_1 ACHIEVE W-Band Cloud Radar IMPACTS ALL STAC Catalog 2023-01-23 2023-03-01 -72.861, 41.368, -71.655, 42.268 https://cmr.earthdata.nasa.gov/search/concepts/C3247862082-GHRC_DAAC.umm_json The ACHIEVE W-Band Cloud Radar IMPACTS dataset consists of reflectivity, signal-to-noise ratio, and radial velocity data measured during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. ACHIEVE W-Band Cloud Radar data are available from January 23, 2023, through March 1, 2023, in netCDF-4 format. proprietary
weather-snowpack-danger_ratings-data_1.0 Weather, snowpack and danger ratings data for automated avalanche danger level predictions ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789817371-ENVIDAT.umm_json Each set includes the meteorological variables (resampled 24-hour averages) and the profile variables extracted from the simulated profiles for each of the weather stations of the IMIS network in Switzerland, and, the danger ratings for dry-snow conditions assigned to the location of the station. The data set of RF 1 contains the danger ratings published in the official Swiss avalanche bulletin, and the data set of RF 2 is a quality-controlled subset of danger ratings. These data are the basis of the following publication: Pérez-Guillén, C., Techel, F., Hendrick, M., Volpi, M., van Herwijnen, A., Olevski, T., Obozinski, G., Pérez-Cruz, F., and Schweizer, J.: Data-driven automated predictions of the avalanche danger level for dry-snow conditions in Switzerland, Nat. Hazards Earth Syst. Sci., 22, 2031–2056, https://doi.org/10.5194/nhess-22-2031-2022, 2022. proprietary
weather-station-wolfgangpass_1.0 Weather Station Davos Wolfgang ENVIDAT STAC Catalog 2020-01-01 2020-01-01 9.853594, 46.835577, 9.853594, 46.835577 https://cmr.earthdata.nasa.gov/search/concepts/C2789817645-ENVIDAT.umm_json The dataset contains weather parameters measured at Davos Wolfgang (LON: 9.853594, LAT: 46.835577). proprietary
weather_station_klosters_1.0 Weather Station Klosters ENVIDAT STAC Catalog 2019-01-01 2019-01-01 9.880413, 46.869019, 9.880413, 46.869019 https://cmr.earthdata.nasa.gov/search/concepts/C2789817512-ENVIDAT.umm_json A weather station (Lufft WS600) measured meteorological parameters at Klosters (LON: 9.880413, LAT: 46.869019). Detailed information on the specifications can be found [here](https://www.lufft.com/products/compact-weather-sensors-293/ws600-umb-smart-weather-sensor-1832/productAction/outputAsPdf/). proprietary
@@ -20957,8 +20959,8 @@ willmott_673_1 LBA Regional Climate Data, 0.5-Degree Grid, 1960-1990 (Willmott a
wind-topo_model_0.1.0 Wind-Topo_model ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789817956-ENVIDAT.umm_json "Wind-Topo is a statistical downscaling model for near surface wind fields especially suited for highly complex terrain. It is based on deep learning and was trained (calibrated) using the hourly wind speed and direction from 261 automatic measurement stations (IMIS and SwissMetNet) located in Switzerland. The periods 1st October 2015 to 1st October 2016 and 1st October 2017 to 1st October 2018 were used for training. The model was validated using 60 other stations on the period 1st October 2016 to 1st October 2017. Wind-Topo was trained using COSMO-1 data and a 53-meter Digital Elevation Model as input. This dataset provides all the necessary code to understand, use and incorporate Wind-Topo in a new downscaling scheme. Specifically, the dataset contains the architecture of Wind-Topo and its optimized parameters, as well as a python script to downscale uniform wind fields with a prescribed vertical profile for any given 53-meter DEM. Accompanies the publication ""Wind-Topo: Downscaling near-surface wind fields to high-resolution topography in highly complex terrain with deep learning"" Dujardin and Lehning, Quarterly Journal of the Royal Meteorological Society, 2022. https://doi.org/10.1002/qj.4265 Please cite this publication if you use Wind-Topo or derive new models from it. The code can be used under the GNU Affero General Public License (AGPL)." proprietary
wind_dem_1 Digital Elevation Model of the Windmill Islands AU_AADC STAC Catalog 1999-07-11 1999-08-23 110, -67, 111, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214311463-AU_AADC.umm_json This DEM includes all the inshore and offshore islands, all the peninsulas and the lower slopes of the icecap leading up to Law Dome. The DEM has a cell size of 10 m. proprietary
windmill_bathy_surveys_1 Bathymetric surveys of Brown Bay, O'Brien Bay and Newcomb Bay in the Windmill Islands AU_AADC STAC Catalog 1997-02-01 1997-03-31 110.515, -66.297, 110.565, -66.258 https://cmr.earthdata.nasa.gov/search/concepts/C1214311438-AU_AADC.umm_json Bathymetric surveys of Brown Bay, O'Brien Bay and Newcomb Bay in the Windmill Islands. This dataset resulted from bathymetric surveys of Brown Bay, O'Brien Bay and Newcomb Bay in the Windmill Islands, carried out in February and March 1997 as part of ASAC Project 2201. The surveys were carried out by Jonny Stark and Tim Ryan in the workboat the 'Southern Comfort'. proprietary
-winston_bathy_1 A bathymetric survey of Winston Lagoon AU_AADC STAC Catalog 1987-01-09 1987-01-14 73.23557, -53.20274, 73.83911, -52.95006 https://cmr.earthdata.nasa.gov/search/concepts/C1214311480-AU_AADC.umm_json During the 1986-87 Expedition to Heard Island, a 3m inflatable boat was depoted at the shores of Winston Lagoon, on the islands' south-east coast. The boat was to allow access to the important Long Beach Elephant Seal harems for periods when flooding from the lagoon prevented passage across its spit. The availability of the boat together with a 'Furuno' echo sounder, a stabilised, floating, transducer platform (constructed by a crew member from Nella Dan), and field assistance allowed a bathymetric survey of Winston Lagoon to be conducted. Winston Lagoon depth work was done from 9/1/1987-14/1/1987 in the rare calm periods. We (the researchers) lived in the nearby Paddick Valley hut and sheltered there in rough weather. We only ran transects in calm weather. The map used was the largest Heard Island map available in 1986. 30 transects were run across the lake from known points on the map recognisable from the shore. We calibrated the echo sounder (a marine device) for fresh water by checking a range of measured depths against a weighted fibre-glass tape. Water samples were taken from a range of depths to the bottom and the lake was fresh throughout. Lake was very opaque with a secchi depth of 0.46m. proprietary
winston_bathy_1 A bathymetric survey of Winston Lagoon ALL STAC Catalog 1987-01-09 1987-01-14 73.23557, -53.20274, 73.83911, -52.95006 https://cmr.earthdata.nasa.gov/search/concepts/C1214311480-AU_AADC.umm_json During the 1986-87 Expedition to Heard Island, a 3m inflatable boat was depoted at the shores of Winston Lagoon, on the islands' south-east coast. The boat was to allow access to the important Long Beach Elephant Seal harems for periods when flooding from the lagoon prevented passage across its spit. The availability of the boat together with a 'Furuno' echo sounder, a stabilised, floating, transducer platform (constructed by a crew member from Nella Dan), and field assistance allowed a bathymetric survey of Winston Lagoon to be conducted. Winston Lagoon depth work was done from 9/1/1987-14/1/1987 in the rare calm periods. We (the researchers) lived in the nearby Paddick Valley hut and sheltered there in rough weather. We only ran transects in calm weather. The map used was the largest Heard Island map available in 1986. 30 transects were run across the lake from known points on the map recognisable from the shore. We calibrated the echo sounder (a marine device) for fresh water by checking a range of measured depths against a weighted fibre-glass tape. Water samples were taken from a range of depths to the bottom and the lake was fresh throughout. Lake was very opaque with a secchi depth of 0.46m. proprietary
+winston_bathy_1 A bathymetric survey of Winston Lagoon AU_AADC STAC Catalog 1987-01-09 1987-01-14 73.23557, -53.20274, 73.83911, -52.95006 https://cmr.earthdata.nasa.gov/search/concepts/C1214311480-AU_AADC.umm_json During the 1986-87 Expedition to Heard Island, a 3m inflatable boat was depoted at the shores of Winston Lagoon, on the islands' south-east coast. The boat was to allow access to the important Long Beach Elephant Seal harems for periods when flooding from the lagoon prevented passage across its spit. The availability of the boat together with a 'Furuno' echo sounder, a stabilised, floating, transducer platform (constructed by a crew member from Nella Dan), and field assistance allowed a bathymetric survey of Winston Lagoon to be conducted. Winston Lagoon depth work was done from 9/1/1987-14/1/1987 in the rare calm periods. We (the researchers) lived in the nearby Paddick Valley hut and sheltered there in rough weather. We only ran transects in calm weather. The map used was the largest Heard Island map available in 1986. 30 transects were run across the lake from known points on the map recognisable from the shore. We calibrated the echo sounder (a marine device) for fresh water by checking a range of measured depths against a weighted fibre-glass tape. Water samples were taken from a range of depths to the bottom and the lake was fresh throughout. Lake was very opaque with a secchi depth of 0.46m. proprietary
wisperimpacts_1 Water Isotope System for Precipitation and Entrainment Research (WISPER) IMPACTS GHRC_DAAC STAC Catalog 2020-01-18 2023-02-28 -95.2426928, 33.2614038, -67.8781539, 48.2369386 https://cmr.earthdata.nasa.gov/search/concepts/C2175816611-GHRC_DAAC.umm_json The Water Isotope System for Precipitation and Entrainment Research (WISPER) IMPACTS dataset consists of condensed water contents, water vapor measurements, and isotope ratios in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The dataset files are available in ASCII format from January 18, 2020, through February 28, 2023. proprietary
wml_bilderstudie_1.0 Relationship between physical forest characteristics, visual attractiveness and perception of ecosystem services in urban forests ENVIDAT STAC Catalog 2019-01-01 2019-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789818010-ENVIDAT.umm_json "This questionnaire survey was conducted as an online survey and aimed at investigating the relationship between physical forest characteristics, visual attractiveness of forest and the perception of ecological and cultural ecosystem services in urban forests. Each participant was shown 6 photos out of a pool of 50 photos taken from the Swiss National Forest Inventory (NFI) database. Physical forest characteristics were derived from the photos. The study was conducted as part of the ""WaMos meets LFI"" (WML) project." proprietary
wmlganzeschweiz_1.0 WaMos meets LFI, ganze Schweiz ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789818071-ENVIDAT.umm_json The data consists of a forest visitor survey conducted at 50 plots in the whole of Switzerland, once during the winter- and once during the summer season. Physical forest characteristics according to the Swiss National Forest Inventory NFI were collected from the same plots in winter and summer. Visibility was measured using terrestrial laser scanning. At some plots, sound measurements were also conducted. proprietary
@@ -20968,8 +20970,8 @@ wrfimpacts_1 Weather Research and Forecasting (WRF) Model IMPACTS GHRC_DAAC STAC
wsl-drought-initiative-2018_1.0 Litterfall and pollen data of three LWF beech plots ENVIDAT STAC Catalog 2019-01-01 2019-01-01 6.65804, 46.58377, 9.06707, 47.22516 https://cmr.earthdata.nasa.gov/search/concepts/C2789818298-ENVIDAT.umm_json This dataset contains the parameters used in the statistical analyses for the manuscript SREP-19-40170-T, submitted in Scientific Reports. This study is part of the WSL Drought Initiative 2018 (C3 - Analysis of the beech litterfall of the drought year 2018). Data originate from the Long-term Forest Ecosystem Research Programme LWF (litterfall, soil matric potential, deposition (precipitation) and meteo (temperature)), and from the Swiss Federal Office of Meteorology and Climatology MeteoSwiss (pollen). __Datafile:__ _LWF_beech_plots_litterfall_pollen.xlsx_ 1. Sheet _extreme_weather_: values used for analysis of weather conditions in strongest mast years compared to years with fruit abortion. 2. Sheet _weather_and_resource_allocation_: values used for analysis of weather impacts on mast occurrence and resource allocation models. proprietary
wslintern-article-envidat-supports-open-science_1.0 EnviDat Supports Open Science ENVIDAT STAC Catalog 2020-01-01 2020-01-01 8.4546488, 47.3605728, 8.4546488, 47.3605728 https://cmr.earthdata.nasa.gov/search/concepts/C2789818383-ENVIDAT.umm_json "The article ""EnviDat Supports Open Science"" originally appeared in WSLintern No. 3 (2020), page 14-15 and it is republished here with permission from the WSLintern editorial team. It contains guidelines for WSL scientists about the main issues behind Open Science and how to pragmatically approach the complexities of doing Open Science with EnviDat’s support. License: This article is released by WSL and the EnviDat team to the public domain under a Creative Commons 4.0 CC0 ""No Rights Reserved"" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions." proprietary
wwllnmth_1 World Wide Lightning Location Network (WWLLN) Monthly Thunder Hour Data GHRC_DAAC STAC Catalog 2013-01-01 2023-12-31 -179.975, -89.975, 179.975, 89.975 https://cmr.earthdata.nasa.gov/search/concepts/C3301410475-GHRC_DAAC.umm_json The World Wide Lightning Location Network (WWLLN) has monitored global lightning since late 2004. Since 2013, the number of global WWLLN sensors has remained largely consistent. This WWLLN Monthly Thunder Hour dataset is calculated from lightning detections from 1 January 2013 onward and is an ongoing dataset. A thunder hour is an hour during which thunder can be heard at a given location. Thunder hours represent a historical measure of lightning occurrence and a metric of thunderstorm frequency that is comparatively less sensitive to geographic variations in the detection capabilities of a lightning location system. Thunder hours are the number of hours in a given month during which at least two WWLLN strokes were observed within 15 km of each grid point. Each file includes the monthly accumulated thunder hours for one year. The data are provided at 0.05° latitude and longitude resolution. proprietary
-wygisc_wolphoyo Aerial Photos for Crazy Woman and Clear Creek Watersheds SCIOPS STAC Catalog 1970-01-01 -107, 44, -106.36, 44.75 https://cmr.earthdata.nasa.gov/search/concepts/C1214614362-SCIOPS.umm_json The purpose of this data was to provide a base layer of aerial photos at the watershed scale for two areas used as part of a the Wyoming Open Land pilot area. Digital and registered aerial photos of Crazy Woman and Clear Creek Watersheds, Wyoming. Each photo represents approximatley one-quarter of a U.S.G.S. Topographic map (north-east, north-west, south-each and south-west quarters). TIFF image format. proprietary
wygisc_wolphoyo Aerial Photos for Crazy Woman and Clear Creek Watersheds ALL STAC Catalog 1970-01-01 -107, 44, -106.36, 44.75 https://cmr.earthdata.nasa.gov/search/concepts/C1214614362-SCIOPS.umm_json The purpose of this data was to provide a base layer of aerial photos at the watershed scale for two areas used as part of a the Wyoming Open Land pilot area. Digital and registered aerial photos of Crazy Woman and Clear Creek Watersheds, Wyoming. Each photo represents approximatley one-quarter of a U.S.G.S. Topographic map (north-east, north-west, south-each and south-west quarters). TIFF image format. proprietary
+wygisc_wolphoyo Aerial Photos for Crazy Woman and Clear Creek Watersheds SCIOPS STAC Catalog 1970-01-01 -107, 44, -106.36, 44.75 https://cmr.earthdata.nasa.gov/search/concepts/C1214614362-SCIOPS.umm_json The purpose of this data was to provide a base layer of aerial photos at the watershed scale for two areas used as part of a the Wyoming Open Land pilot area. Digital and registered aerial photos of Crazy Woman and Clear Creek Watersheds, Wyoming. Each photo represents approximatley one-quarter of a U.S.G.S. Topographic map (north-east, north-west, south-each and south-west quarters). TIFF image format. proprietary
yield-15_1.0 Yield ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789817175-ENVIDAT.umm_json Volume of stemwood with bark of all trees and shrubs starting at 12 cm dbh that were felled between two inventories. The correction for bias with the sample Tarif trees may be so drastic that it results in negative values with small numbers of trees. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary
yield_and_mortality-13_1.0 Yield and mortality ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789817288-ENVIDAT.umm_json Volume of stemwood with bark of all trees and shrubs starting at 12 cm dbh that were felled, died or disappeared between two inventories. The correction for bias with the sample Tarif trees may be so drastic that it results in negative values with small numbers of trees. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary
yield_and_mortality_star-163_1.0 Yield and mortality* ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789817402-ENVIDAT.umm_json Volume of stemwood with bark of all trees and shrubs starting at 12 cm dbh that were used, died or disappeared between two inventories. *In the calculation no D7/tree height data were used. The values calculated like this have not been corrected for bias, but allow for cantons or forest districts a more robust estimation of changes and could thus be better interpreted. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary