From 8eca62fbce09bbb560f4ec76de917978112fbfdf Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Wed, 18 Dec 2024 04:56:41 +0000 Subject: [PATCH] Updated datasets 2024-12-18 UTC --- aws_open_datasets.json | 1829 ++++++++++++++++++++-------------------- aws_open_datasets.tsv | 307 +++---- gee_catalog.json | 198 ++--- gee_catalog.tsv | 198 ++--- nasa_cmr_catalog.json | 245 +++--- nasa_cmr_catalog.tsv | 35 +- 6 files changed, 1430 insertions(+), 1382 deletions(-) diff --git a/aws_open_datasets.json b/aws_open_datasets.json index 015a831..0f488d6 100644 --- a/aws_open_datasets.json +++ b/aws_open_datasets.json @@ -80,8 +80,8 @@ }, { "Name": "1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2", - "Description": "CRAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2b6-tsv, cyp2d6-tsv, gba-tsv, smn-tsv, star-allele-tsv, metrics and other supporting files from DRAGEN v403 analyses and Nirvana Annotation in a public S3 bucket", - "ARN": "arn:aws:s3:::1000genomes-dragen-v4.0.3", + "Description": "CRAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2b6-tsv, cyp2d6-tsv, gba-tsv, smn-tsv, star-allele-tsv, hla-tsv, gvcf, json, metrics and other supporting files from DRAGEN v427 analyses and Nirvana Annotation in a public S3 bucket", + "ARN": "arn:aws:s3:::1000genomes-dragen-v4-2-7", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "[DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_software/dragen-bio-it-platform.html)", @@ -115,8 +115,8 @@ }, { "Name": "1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2", - "Description": "BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2d6-tsv, metrics and other supporting files from DRAGEN v376 analyses in a public S3 bucket This is a clone of the 1000genomes-dragen-376 bucket in the us-east-1 region", - "ARN": "arn:aws:s3:::1000genomes-dragen-v3.7.6", + "Description": "CRAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2b6-tsv, cyp2d6-tsv, gba-tsv, smn-tsv, star-allele-tsv, metrics and other supporting files from DRAGEN v403 analyses and Nirvana Annotation in a public S3 bucket", + "ARN": "arn:aws:s3:::1000genomes-dragen-v4.0.3", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "[DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_software/dragen-bio-it-platform.html)", @@ -150,9 +150,9 @@ }, { "Name": "1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2", - "Description": "BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2d6-tsv, metrics and other supporting files from DRAGEN v376 analyses in a public S3 bucket", - "ARN": "arn:aws:s3:::1000genomes-dragen-3.7.6", - "Region": "us-west-2", + "Description": "BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2d6-tsv, metrics and other supporting files from DRAGEN v376 analyses in a public S3 bucket This is a clone of the 1000genomes-dragen-376 bucket in the us-east-1 region", + "ARN": "arn:aws:s3:::1000genomes-dragen-v3.7.6", + "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "[DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_software/dragen-bio-it-platform.html)", "Contact": "[Illumina, Inc.](mailto:support@illumina.com)", @@ -185,8 +185,8 @@ }, { "Name": "1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2", - "Description": "BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, metrics and other supporting files from DRAGEN v356b analyses in a public S3 bucket", - "ARN": "arn:aws:s3:::1000genomes-dragen", + "Description": "BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2d6-tsv, metrics and other supporting files from DRAGEN v376 analyses in a public S3 bucket", + "ARN": "arn:aws:s3:::1000genomes-dragen-3.7.6", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_software/dragen-bio-it-platform.html)", @@ -220,9 +220,9 @@ }, { "Name": "1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2", - "Description": "CRAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2b6-tsv, cyp2d6-tsv, gba-tsv, smn-tsv, star-allele-tsv, hla-tsv, gvcf, json, metrics and other supporting files from DRAGEN v427 analyses and Nirvana Annotation in a public S3 bucket", - "ARN": "arn:aws:s3:::1000genomes-dragen-v4-2-7", - "Region": "us-east-1", + "Description": "BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, metrics and other supporting files from DRAGEN v356b analyses in a public S3 bucket", + "ARN": "arn:aws:s3:::1000genomes-dragen", + "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_software/dragen-bio-it-platform.html)", "Contact": "[Illumina, Inc.](mailto:support@illumina.com)", @@ -539,8 +539,8 @@ }, { "Name": "2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File", - "Description": "The 2020 Census Redistricting Data (PL 94-171) Noisy Measurement File", - "ARN": "arn:aws:s3:::uscb-2020-product-releases/decennial/redistricting/2020/nmf/2020-pl94-nmf-state-partitioned", + "Description": "Census Open Data S3 Inventory", + "ARN": "arn:aws:s3:::uscb-opendata-inventory", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File README File](https://www2.census.gov/programs-surveys/decennial/2020/data/01-Redistricting_File--PL_94-171/00-2020-Redistricting-Noisy-Measurement-File/2020%20Redistricting%20NMF%202023-06-15%20README.html)", @@ -571,8 +571,8 @@ }, { "Name": "2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File", - "Description": "Census Open Data S3 Inventory", - "ARN": "arn:aws:s3:::uscb-opendata-inventory", + "Description": "The 2020 Census Redistricting Data (PL 94-171) Noisy Measurement File", + "ARN": "arn:aws:s3:::uscb-2020-product-releases/decennial/redistricting/2020/nmf/2020-pl94-nmf-state-partitioned", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File README File](https://www2.census.gov/programs-surveys/decennial/2020/data/01-Redistricting_File--PL_94-171/00-2020-Redistricting-Noisy-Measurement-File/2020%20Redistricting%20NMF%202023-06-15%20README.html)", @@ -970,8 +970,8 @@ }, { "Name": "ARPA-E PERFORM Forecast data", - "Description": "ARPA-E PERFORM Forecast data", - "ARN": "arn:aws:s3:::arpa-e-perform/", + "Description": "Forecasts and Actuals for The Southwest Power Pool (SPP)", + "ARN": "arn:aws:s3:::arpa-e-perform/SPP/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/PERFORM-Forecasts/documentation", @@ -995,8 +995,8 @@ }, { "Name": "ARPA-E PERFORM Forecast data", - "Description": "Forecasts and Actuals for The Southwest Power Pool (SPP)", - "ARN": "arn:aws:s3:::arpa-e-perform/SPP/", + "Description": "Forecasts and Actuals for The Midcontinent Independent System Operator (MISO)", + "ARN": "arn:aws:s3:::arpa-e-perform/MISO/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/PERFORM-Forecasts/documentation", @@ -1020,8 +1020,8 @@ }, { "Name": "ARPA-E PERFORM Forecast data", - "Description": "Forecasts and Actuals for The Midcontinent Independent System Operator (MISO)", - "ARN": "arn:aws:s3:::arpa-e-perform/MISO/", + "Description": "Forecasts and Actuals for The New York Independent System Operator (NYISO)", + "ARN": "arn:aws:s3:::arpa-e-perform/NYISO/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/PERFORM-Forecasts/documentation", @@ -1045,8 +1045,8 @@ }, { "Name": "ARPA-E PERFORM Forecast data", - "Description": "Forecasts and Actuals for The New York Independent System Operator (NYISO)", - "ARN": "arn:aws:s3:::arpa-e-perform/NYISO/", + "Description": "Forecasts and Actuals for The Electric Reliability Council of Texas (ERCOT)", + "ARN": "arn:aws:s3:::arpa-e-perform/ERCOT/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/PERFORM-Forecasts/documentation", @@ -1070,8 +1070,8 @@ }, { "Name": "ARPA-E PERFORM Forecast data", - "Description": "Forecasts and Actuals for The Electric Reliability Council of Texas (ERCOT)", - "ARN": "arn:aws:s3:::arpa-e-perform/ERCOT/", + "Description": "ARPA-E PERFORM Forecast data", + "ARN": "arn:aws:s3:::arpa-e-perform/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/PERFORM-Forecasts/documentation", @@ -1095,10 +1095,10 @@ }, { "Name": "ASF SAR Data Products for Disaster Events", - "Description": "ASF Event data S3 bucket", - "ARN": "arn:aws:s3:::asf-event-data", + "Description": "Notifications for new event data", + "ARN": "arn:aws:sns:us-west-2:654654592981:asf-event-data-object_created", "Region": "us-west-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://asf-event-data.s3.us-west-2.amazonaws.com/README.md", "Contact": "https://asf.alaska.edu/asf/contact-us/", "ManagedBy": "[The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/)", @@ -1112,9 +1112,7 @@ "cog", "stac" ], - "Explore": [ - "[Browse Bucket](https://asf-event-data.s3.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -1122,10 +1120,10 @@ }, { "Name": "ASF SAR Data Products for Disaster Events", - "Description": "Notifications for new event data", - "ARN": "arn:aws:sns:us-west-2:654654592981:asf-event-data-object_created", + "Description": "ASF Event data S3 bucket", + "ARN": "arn:aws:s3:::asf-event-data", "Region": "us-west-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://asf-event-data.s3.us-west-2.amazonaws.com/README.md", "Contact": "https://asf.alaska.edu/asf/contact-us/", "ManagedBy": "[The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/)", @@ -1139,7 +1137,9 @@ "cog", "stac" ], - "Explore": null, + "Explore": [ + "[Browse Bucket](https://asf-event-data.s3.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -1278,8 +1278,8 @@ }, { "Name": "AgricultureVision", - "Description": "Dataset affiliated with the 2021 CVPR Agricutlure Vision Workshop This includes both the supervised and additional raw imagery, both high-resolution (10cm/pixel) and low-resolution (sentinel-1 10m/pixel) imagery The supervised portion is split train-val-test The full-field imagery is given as a series of folders where each folder corresponds to a field, and the images contained are named according to the date of collection High-resolution images are named _tif Low-resolution images are named _gamma0__lowtif", - "ARN": "arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_challenge_2021_full", + "Description": "Dataset affiliated with the 2021 CVPR Agricutlure Vision Workshop This includes both the supervised and additional raw imagery The supervised portion is split train-val-test The full-field imagery is given as a series of folders where each folder corresponds to a field, and the images contained are named according to the date of collection This is the high-resolution-only subset of cvpr_challenge_2021_full", + "ARN": "arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_challenge_2021", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://arxiv.org/abs/2001.01306", @@ -1303,8 +1303,8 @@ }, { "Name": "AgricultureVision", - "Description": "Original dataset affiliated with the 2020 CVPR paper Dataset provided as a series of targz files with data for each year and an associated json file dscribing the train/validation/test split", - "ARN": "arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_paper_2020", + "Description": "Dataset affiliated with the 2021 CVPR Agricutlure Vision Workshop This includes both the supervised and additional raw imagery, both high-resolution (10cm/pixel) and low-resolution (sentinel-1 10m/pixel) imagery The supervised portion is split train-val-test The full-field imagery is given as a series of folders where each folder corresponds to a field, and the images contained are named according to the date of collection High-resolution images are named _tif Low-resolution images are named _gamma0__lowtif", + "ARN": "arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_challenge_2021_full", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://arxiv.org/abs/2001.01306", @@ -1328,8 +1328,8 @@ }, { "Name": "AgricultureVision", - "Description": "Dataset affiliated with the 2021 CVPR Agricutlure Vision Workshop This includes both the supervised and additional raw imagery The supervised portion is split train-val-test The full-field imagery is given as a series of folders where each folder corresponds to a field, and the images contained are named according to the date of collection This is the high-resolution-only subset of cvpr_challenge_2021_full", - "ARN": "arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_challenge_2021", + "Description": "Original dataset affiliated with the 2020 CVPR paper Dataset provided as a series of targz files with data for each year and an associated json file dscribing the train/validation/test split", + "ARN": "arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_paper_2020", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://arxiv.org/abs/2001.01306", @@ -1429,8 +1429,8 @@ }, { "Name": "Allen Brain Observatory - Visual Coding AWS Public Data Set", - "Description": "SageMaker launch template with s3fs bucket mounts", - "ARN": "arn:aws:s3:::allen-brain-observatory-templates", + "Description": "Project data files in a public bucket", + "ARN": "arn:aws:s3:::allen-brain-observatory", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/AllenInstitute/AllenSDK/wiki/Use-the-Allen-Brain-Observatory-%E2%80%93-Visual-Coding-on-AWS", @@ -1457,8 +1457,8 @@ }, { "Name": "Allen Brain Observatory - Visual Coding AWS Public Data Set", - "Description": "Project data files in a public bucket", - "ARN": "arn:aws:s3:::allen-brain-observatory", + "Description": "SageMaker launch template with s3fs bucket mounts", + "ARN": "arn:aws:s3:::allen-brain-observatory-templates", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/AllenInstitute/AllenSDK/wiki/Use-the-Allen-Brain-Observatory-%E2%80%93-Visual-Coding-on-AWS", @@ -1782,8 +1782,8 @@ }, { "Name": "Amazonia EO satellite on AWS", - "Description": "Notifications for new quicklooks", - "ARN": "arn:aws:sns:us-west-2:599544552497:NewAM1Quicklook", + "Description": "Topic that receives STAC V100 items as new scenes are ingested", + "ARN": "arn:aws:sns:us-west-2:769537946825:br-eo-stac-prod-stacitemtopic4BCE3141-Z8he7LYjqXFe", "Region": "us-west-2", "Type": "SNS Topic", "Documentation": "http://www.inpe.br/amazonia1", @@ -1811,8 +1811,8 @@ }, { "Name": "Amazonia EO satellite on AWS", - "Description": "Topic that receives STAC V100 items as new scenes are ingested", - "ARN": "arn:aws:sns:us-west-2:769537946825:br-eo-stac-prod-stacitemtopic4BCE3141-Z8he7LYjqXFe", + "Description": "Notifications for new quicklooks", + "ARN": "arn:aws:sns:us-west-2:599544552497:NewAM1Quicklook", "Region": "us-west-2", "Type": "SNS Topic", "Documentation": "http://www.inpe.br/amazonia1", @@ -1869,10 +1869,10 @@ }, { "Name": "Analysis Ready Sentinel-1 Backscatter Imagery", - "Description": "Simple Notification Service (SNS) topic for notification of new tile uploads", - "ARN": "arn:aws:sns:us-west-2:410373799403:sentinel-s1-rtc-indigo-object_created", + "Description": "Sentinel-1 RTC tiled data and metadata in a S3 bucket", + "ARN": "arn:aws:s3:::sentinel-s1-rtc-indigo", "Region": "us-west-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://sentinel-s1-rtc-indigo-docs.s3-us-west-2.amazonaws.com/index.html", "Contact": "For questions regarding data methodology or delivery, contact sentinel1@indigoag.com.", "ManagedBy": "[Indigo Ag, Inc.](https://www.indigoag.com/)", @@ -1890,7 +1890,9 @@ "stac", "synthetic aperture radar" ], - "Explore": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://scottyhq.github.io/sentinel1-rtc-stac/#/)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -1898,10 +1900,10 @@ }, { "Name": "Analysis Ready Sentinel-1 Backscatter Imagery", - "Description": "Sentinel-1 RTC tiled data and metadata in a S3 bucket", - "ARN": "arn:aws:s3:::sentinel-s1-rtc-indigo", + "Description": "Simple Notification Service (SNS) topic for notification of new tile uploads", + "ARN": "arn:aws:sns:us-west-2:410373799403:sentinel-s1-rtc-indigo-object_created", "Region": "us-west-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://sentinel-s1-rtc-indigo-docs.s3-us-west-2.amazonaws.com/index.html", "Contact": "For questions regarding data methodology or delivery, contact sentinel1@indigoag.com.", "ManagedBy": "[Indigo Ag, Inc.](https://www.indigoag.com/)", @@ -1919,9 +1921,7 @@ "stac", "synthetic aperture radar" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://scottyhq.github.io/sentinel1-rtc-stac/#/)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -1972,8 +1972,8 @@ }, { "Name": "ArcticDEM", - "Description": "ArcticDEM DEM Strips", - "ARN": "arn:aws:s3:::pgc-opendata-dems/arcticdem/strips/", + "Description": "ArcticDEM DEM Mosaics", + "ARN": "arn:aws:s3:::pgc-opendata-dems/arcticdem/mosaics/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://www.pgc.umn.edu/data/arcticdem/", @@ -1993,7 +1993,7 @@ "stac" ], "Explore": [ - "[Browse STAC Catalog](https://polargeospatialcenter.github.io/stac-browser/#/external/pgc-opendata-dems.s3.us-west-2.amazonaws.com/arcticdem/strips.json)" + "[Browse STAC Catalog](https://polargeospatialcenter.github.io/stac-browser/#/external/pgc-opendata-dems.s3.us-west-2.amazonaws.com/arcticdem/mosaics.json)" ], "RequesterPays": null, "ControlledAccess": null, @@ -2002,8 +2002,8 @@ }, { "Name": "ArcticDEM", - "Description": "ArcticDEM DEM Mosaics", - "ARN": "arn:aws:s3:::pgc-opendata-dems/arcticdem/mosaics/", + "Description": "ArcticDEM DEM Strips", + "ARN": "arn:aws:s3:::pgc-opendata-dems/arcticdem/strips/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://www.pgc.umn.edu/data/arcticdem/", @@ -2023,7 +2023,7 @@ "stac" ], "Explore": [ - "[Browse STAC Catalog](https://polargeospatialcenter.github.io/stac-browser/#/external/pgc-opendata-dems.s3.us-west-2.amazonaws.com/arcticdem/mosaics.json)" + "[Browse STAC Catalog](https://polargeospatialcenter.github.io/stac-browser/#/external/pgc-opendata-dems.s3.us-west-2.amazonaws.com/arcticdem/strips.json)" ], "RequesterPays": null, "ControlledAccess": null, @@ -2246,7 +2246,7 @@ { "Name": "Australasian Genomes", "Description": "Data files", - "ARN": "arn:aws:s3:::threatenedspecies", + "ARN": "arn:aws:s3:::koalagenomes", "Region": "ap-southeast-2", "Type": "S3 Bucket", "Documentation": "https://awgg-lab.github.io/australasiangenomes/", @@ -2266,7 +2266,7 @@ "wildlife" ], "Explore": [ - "[Browse Bucket](https://threatenedspecies.s3.ap-southeast-2.amazonaws.com/index.html)" + "[Browse Bucket](https://koalagenomes.s3.ap-southeast-2.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -2276,7 +2276,7 @@ { "Name": "Australasian Genomes", "Description": "Data files", - "ARN": "arn:aws:s3:::koalagenomes", + "ARN": "arn:aws:s3:::threatenedspecies", "Region": "ap-southeast-2", "Type": "S3 Bucket", "Documentation": "https://awgg-lab.github.io/australasiangenomes/", @@ -2296,7 +2296,7 @@ "wildlife" ], "Explore": [ - "[Browse Bucket](https://koalagenomes.s3.ap-southeast-2.amazonaws.com/index.html)" + "[Browse Bucket](https://threatenedspecies.s3.ap-southeast-2.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -2305,8 +2305,8 @@ }, { "Name": "Automated Segmentation of Intracellular Substructures in Electron Microscopy (ASEM) on AWS", - "Description": "Trained ML segmentation models for use in ASEM pipeline", - "ARN": "arn:aws:s3:::asem-project/models/", + "Description": "High resolution 3D cell image datasets", + "ARN": "arn:aws:s3:::asem-project/datasets/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://open.quiltdata.com/b/asem-project", @@ -2332,8 +2332,8 @@ }, { "Name": "Automated Segmentation of Intracellular Substructures in Electron Microscopy (ASEM) on AWS", - "Description": "High resolution 3D cell image datasets", - "ARN": "arn:aws:s3:::asem-project/datasets/", + "Description": "Trained ML segmentation models for use in ASEM pipeline", + "ARN": "arn:aws:s3:::asem-project/models/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://open.quiltdata.com/b/asem-project", @@ -2439,8 +2439,8 @@ }, { "Name": "Beat Acute Myeloid Leukemia (AML) 1.0", - "Description": "WXS/RNA-Seq Aligned Reads, WXS Annotated Somatic Mutation, WXS Raw Somatic Mutation, RNA-SeqSplice Junction Quantification", - "ARN": "arn:aws:s3:::gdc-beataml1-cohort-phs001657-2-controlled", + "Description": "BEATAML10-CRENOLANIB Clinical Supplement", + "ARN": "arn:aws:s3:::gdc-beataml1.0-crenolanib-phs001628-2-open", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://www.cancer.gov/about-nci/organization/ccg/blog/2019/beataml", @@ -2459,14 +2459,14 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001657.v1.p1&phv=417530&phd=&pha=&pht=9391&phvf=&phdf=&phaf=&phtf=&dssp=1&consent=&temp=1", + "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Beat Acute Myeloid Leukemia (AML) 1.0", - "Description": "BEATAML10-CRENOLANIB Clinical Supplement", - "ARN": "arn:aws:s3:::gdc-beataml1.0-crenolanib-phs001628-2-open", + "Description": "WXS/RNA-Seq Aligned Reads, WXS Annotated Somatic Mutation, WXS Raw Somatic Mutation, RNA-SeqSplice Junction Quantification", + "ARN": "arn:aws:s3:::gdc-beataml1-cohort-phs001657-2-controlled", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://www.cancer.gov/about-nci/organization/ccg/blog/2019/beataml", @@ -2485,7 +2485,7 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": null, + "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001657.v1.p1&phv=417530&phd=&pha=&pht=9391&phvf=&phdf=&phaf=&phtf=&dssp=1&consent=&temp=1", "AccountRequired": null, "Host": null }, @@ -2722,10 +2722,10 @@ }, { "Name": "CAFE60 reanalysis", - "Description": "CSIRO Climate retrospective Analysis and Forecast Ensemble system: version 1 (CAFE60v1) data", - "ARN": "arn:aws:s3:::cafe60-reanalysis-dataset-aws-open-data", + "Description": "Notifications for updates to data", + "ARN": "arn:aws:sns:ap-southeast-2:970429975021:Cafe60-Data-Changes", "Region": "ap-southeast-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://data.csiro.au/dap/ws/v2/collections/49803/support/4029", "Contact": "Terence.O'Kane@csiro.au", "ManagedBy": "[CSIRO](http://csiro.au/)", @@ -2736,9 +2736,7 @@ "climate", "sustainability" ], - "Explore": [ - "[Browse Bucket](https://cafe60-reanalysis-dataset-aws-open-data.s3.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -2746,10 +2744,10 @@ }, { "Name": "CAFE60 reanalysis", - "Description": "Notifications for updates to data", - "ARN": "arn:aws:sns:ap-southeast-2:970429975021:Cafe60-Data-Changes", + "Description": "CSIRO Climate retrospective Analysis and Forecast Ensemble system: version 1 (CAFE60v1) data", + "ARN": "arn:aws:s3:::cafe60-reanalysis-dataset-aws-open-data", "Region": "ap-southeast-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://data.csiro.au/dap/ws/v2/collections/49803/support/4029", "Contact": "Terence.O'Kane@csiro.au", "ManagedBy": "[CSIRO](http://csiro.au/)", @@ -2760,7 +2758,9 @@ "climate", "sustainability" ], - "Explore": null, + "Explore": [ + "[Browse Bucket](https://cafe60-reanalysis-dataset-aws-open-data.s3.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -2854,10 +2854,10 @@ }, { "Name": "CBERS on AWS", - "Description": "CBERS imagery (COG files, quicklooks, metadata)", - "ARN": "arn:aws:s3:::brazil-eosats", + "Description": "Notifications for new CBERS 4 quicklooks, all sensors", + "ARN": "arn:aws:sns:us-west-2:599544552497:NewCB4Quicklook", "Region": "us-west-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://github.com/fredliporace/cbers-on-aws", "Contact": "https://lists.osgeo.org/mailman/listinfo/cbers-pds", "ManagedBy": "[AMS Kepler](https://amskepler.com/)", @@ -2874,19 +2874,16 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://stac.amskepler.com/v100)", - "[stacindex](https://stacindex.org/catalogs/cbers)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "CBERS on AWS", - "Description": "STAC static catalog", - "ARN": "arn:aws:s3:::br-eo-stac-1-0-0", + "Description": "CBERS imagery (COG files, quicklooks, metadata)", + "ARN": "arn:aws:s3:::brazil-eosats", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/fredliporace/cbers-on-aws", @@ -2905,7 +2902,10 @@ "stac", "cog" ], - "Explore": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://stac.amskepler.com/v100)", + "[stacindex](https://stacindex.org/catalogs/cbers)" + ], "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, @@ -2913,10 +2913,10 @@ }, { "Name": "CBERS on AWS", - "Description": "Notifications for new CBERS 4A quicklooks, all sensors", - "ARN": "arn:aws:sns:us-west-2:599544552497:NewCB4AQuicklook", + "Description": "STAC static catalog", + "ARN": "arn:aws:s3:::br-eo-stac-1-0-0", "Region": "us-west-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://github.com/fredliporace/cbers-on-aws", "Contact": "https://lists.osgeo.org/mailman/listinfo/cbers-pds", "ManagedBy": "[AMS Kepler](https://amskepler.com/)", @@ -2934,15 +2934,15 @@ "cog" ], "Explore": null, - "RequesterPays": null, + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "CBERS on AWS", - "Description": "Notifications for new CBERS 4 quicklooks, all sensors", - "ARN": "arn:aws:sns:us-west-2:599544552497:NewCB4Quicklook", + "Description": "Notifications for new CBERS 4A quicklooks, all sensors", + "ARN": "arn:aws:sns:us-west-2:599544552497:NewCB4AQuicklook", "Region": "us-west-2", "Type": "SNS Topic", "Documentation": "https://github.com/fredliporace/cbers-on-aws", @@ -3048,8 +3048,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "2018v2 Modeling Platform", - "ARN": "arn:aws:s3:::2018v2platform", + "Description": "CMAQ CONUS-2 Benchmark Data", + "ARN": "arn:aws:s3:::cmas-cmaq-conus2-benchmark", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3066,7 +3066,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://2018v2platform.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://cmas-cmaq-conus2-benchmark.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3102,8 +3102,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "CMAQ CONUS-2 Benchmark Data", - "ARN": "arn:aws:s3:::cmas-cmaq-conus2-benchmark", + "Description": "MPAS-CMAQ Input Data", + "ARN": "arn:aws:s3:::mpas-cmaq", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3120,7 +3120,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://cmas-cmaq-conus2-benchmark.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://mpas-cmaq.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3129,8 +3129,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "MPAS-CMAQ Input Data", - "ARN": "arn:aws:s3:::mpas-cmaq", + "Description": "CMAQ Benchmark Data", + "ARN": "arn:aws:s3:::cmas-cmaq", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3147,7 +3147,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://mpas-cmaq.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://cmas-cmaq.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3156,8 +3156,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "CMAQ Benchmark Data", - "ARN": "arn:aws:s3:::cmas-cmaq", + "Description": "AMET Data", + "ARN": "arn:aws:s3:::cmas-amet", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3174,7 +3174,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://cmas-cmaq.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://cmas-amet.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3183,8 +3183,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "SMOKE 2016 Modeling Platform", - "ARN": "arn:aws:s3:::cmas-smoke-modeling-platform-2016", + "Description": "CMAQ 2018 Modeling Platform", + "ARN": "arn:aws:s3:::cmas-cmaq-modeling-platform-2018", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3201,7 +3201,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://cmas-smoke-modeling-platform-2016.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://cmas-cmaq-modeling-platform-2018.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3210,8 +3210,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "2019 Modeling Platform", - "ARN": "arn:aws:s3:::2019platform", + "Description": "EQUATES EPA\u2019s Air QUAlity TimE Series Project Data", + "ARN": "arn:aws:s3:::cmas-equates", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3228,7 +3228,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://2019platform.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://cmas-equates.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3237,8 +3237,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "AMET Data", - "ARN": "arn:aws:s3:::cmas-amet", + "Description": "SMOKE 2016 Modeling Platform", + "ARN": "arn:aws:s3:::cmas-smoke-modeling-platform-2016", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3255,7 +3255,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://cmas-amet.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://cmas-smoke-modeling-platform-2016.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3264,8 +3264,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "SMOKE Test Case", - "ARN": "arn:aws:s3:::cmas-smoke-testcase", + "Description": "2020 Modeling Platform", + "ARN": "arn:aws:s3:::2020platform", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3282,7 +3282,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://cmas-smoke-testcase.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://2020platform.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3291,8 +3291,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "2016v3 Modeling Platform", - "ARN": "arn:aws:s3:::2016v3platform", + "Description": "2019 Modeling Platform", + "ARN": "arn:aws:s3:::2019platform", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3309,7 +3309,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://2016v3platform.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://2019platform.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3318,8 +3318,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "CMAS WWLLN Lightning Data", - "ARN": "arn:aws:s3:::cmas-wwlln-lightning", + "Description": "SMOKE Test Case", + "ARN": "arn:aws:s3:::cmas-smoke-testcase", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3336,7 +3336,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://cmas-wwlln-lightning.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://cmas-smoke-testcase.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3345,8 +3345,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "EQUATES EPA\u2019s Air QUAlity TimE Series Project Data", - "ARN": "arn:aws:s3:::cmas-equates", + "Description": "2016v3 Modeling Platform", + "ARN": "arn:aws:s3:::2016v3platform", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3363,7 +3363,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://cmas-equates.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://2016v3platform.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3372,8 +3372,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "CMAQ 2018 Modeling Platform", - "ARN": "arn:aws:s3:::cmas-cmaq-modeling-platform-2018", + "Description": "CMAS WWLLN Lightning Data", + "ARN": "arn:aws:s3:::cmas-wwlln-lightning", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3390,7 +3390,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://cmas-cmaq-modeling-platform-2018.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://cmas-wwlln-lightning.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3399,8 +3399,8 @@ }, { "Name": "CMAS Data Warehouse", - "Description": "2020 Modeling Platform", - "ARN": "arn:aws:s3:::2020platform", + "Description": "2018v2 Modeling Platform", + "ARN": "arn:aws:s3:::2018v2platform", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://dataverse.unc.edu/dataverse/cmascenter", @@ -3417,7 +3417,7 @@ "climate" ], "Explore": [ - "[Browse Bucket](https://2020platform.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://2018v2platform.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -3954,8 +3954,8 @@ }, { "Name": "Cell Organelle Segmentation in Electron Microscopy (COSEM) on AWS", - "Description": "Raw FIB-SEM datasets and derived data", - "ARN": "arn:aws:s3:::janelia-cosem-datasets", + "Description": "Machine learning models for organelle prediction", + "ARN": "arn:aws:s3:::janelia-cosem-networks", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://github.com/janelia-cosem/aws-opendata/blob/master/cosem-introduction.md", @@ -3980,8 +3980,8 @@ }, { "Name": "Cell Organelle Segmentation in Electron Microscopy (COSEM) on AWS", - "Description": "Machine learning models for organelle prediction", - "ARN": "arn:aws:s3:::janelia-cosem-networks", + "Description": "Raw FIB-SEM datasets and derived data", + "ARN": "arn:aws:s3:::janelia-cosem-datasets", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://github.com/janelia-cosem/aws-opendata/blob/master/cosem-introduction.md", @@ -4567,10 +4567,10 @@ }, { "Name": "Community Multiscale Air Quality (CMAQ) 2019 3D Gridded and Column data from the EPA's Air Quality Time Series (EQUATES) Project", - "Description": "Notifications for EQUATES bucket", - "ARN": "arn:aws:sns:us-east-1:127085394039:epa-equates-v1-object_created", + "Description": "The 2019 CMAQ output are stored as compressed netcdf/hdf5 formatted files using I/O API data structures (https://wwwcmascenterorg/ioapi/) Information on the model projection and grid structure is contained in the header information of the netcdf file The netcdf files can be opened and manipulated using I/O API utilities (eg M3XTRACT, M3WNDW) or other software programs that can read and write netcdf formatted files (eg Fortran, R, Python)", + "ARN": "arn:aws:s3:::epa-equates-v1", "Region": "us-east-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "EQUATES data DOI: https://doi.org/10.15139/S3/F2KJSK. Please see the Data Use Statement if you plan to use this data for your own research. Additional information may be found on the EQUATES home page (www.epa.gov/cmaq/equates). For questions or issues please use this User Support Forum: https://forum.cmascenter.org/t/about-the-equates-category/2723", "Contact": "CMAQ_Team@epa.gov", "ManagedBy": "U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Atmospheric and Environmental Systems Modeling Division", @@ -4582,7 +4582,9 @@ "atmosphere", "model" ], - "Explore": null, + "Explore": [ + "[Browse Bucket](https://epa-equates-v1.s3.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -4590,10 +4592,10 @@ }, { "Name": "Community Multiscale Air Quality (CMAQ) 2019 3D Gridded and Column data from the EPA's Air Quality Time Series (EQUATES) Project", - "Description": "The 2019 CMAQ output are stored as compressed netcdf/hdf5 formatted files using I/O API data structures (https://wwwcmascenterorg/ioapi/) Information on the model projection and grid structure is contained in the header information of the netcdf file The netcdf files can be opened and manipulated using I/O API utilities (eg M3XTRACT, M3WNDW) or other software programs that can read and write netcdf formatted files (eg Fortran, R, Python)", - "ARN": "arn:aws:s3:::epa-equates-v1", + "Description": "Notifications for EQUATES bucket", + "ARN": "arn:aws:sns:us-east-1:127085394039:epa-equates-v1-object_created", "Region": "us-east-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "EQUATES data DOI: https://doi.org/10.15139/S3/F2KJSK. Please see the Data Use Statement if you plan to use this data for your own research. Additional information may be found on the EQUATES home page (www.epa.gov/cmaq/equates). For questions or issues please use this User Support Forum: https://forum.cmascenter.org/t/about-the-equates-category/2723", "Contact": "CMAQ_Team@epa.gov", "ManagedBy": "U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Atmospheric and Environmental Systems Modeling Division", @@ -4605,9 +4607,7 @@ "atmosphere", "model" ], - "Explore": [ - "[Browse Bucket](https://epa-equates-v1.s3.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -4777,9 +4777,9 @@ }, { "Name": "Coupled Model Intercomparison Project 6", - "Description": "Netcdf formatted data managed by the Earth System Grid Federation", - "ARN": "arn:aws:s3:::esgf-world", - "Region": "us-east-2", + "Description": "Zarr formatted data", + "ARN": "arn:aws:s3:::cmip6-pds", + "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://pangeo-data.github.io/pangeo-cmip6-cloud/, https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6", "Contact": "If you have any feedback on the CMIP6 data available on AWS please email sustainability-data-initiative@amazon.com. We are acepting requests for additional CMIP6 variables and/or models to be made available to AWS but cannot guarantee that your request will be fulfilled. We will prioritize requests that bring value to the largest number of users. Note that we are not providing technical support through this email account.We also seek to identify case studies on how CMIP6 data is being used and will be featuring those stories in future publications and events. If you are interested in seeing your story highlighted, please share it with the ASDI team here: sustainability-data-initiative@amazon.com.", @@ -4799,8 +4799,8 @@ "weather" ], "Explore": [ - "[Browse Bucket](https://esgf-world.s3.amazonaws.com/index.html)", - "[Data Catalog](https://cmip6-nc.s3.amazonaws.com/esgf-world.csv.gz)" + "[Browse Bucket](https://cmip6-pds.s3.amazonaws.com/index.html#CMIP6/)", + "[Data Catalog](https://cmip6-pds.s3.amazonaws.com/pangeo-cmip6.csv)" ], "RequesterPays": null, "ControlledAccess": null, @@ -4809,9 +4809,9 @@ }, { "Name": "Coupled Model Intercomparison Project 6", - "Description": "Zarr formatted data", - "ARN": "arn:aws:s3:::cmip6-pds", - "Region": "us-west-2", + "Description": "Netcdf formatted data managed by the Earth System Grid Federation", + "ARN": "arn:aws:s3:::esgf-world", + "Region": "us-east-2", "Type": "S3 Bucket", "Documentation": "https://pangeo-data.github.io/pangeo-cmip6-cloud/, https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6", "Contact": "If you have any feedback on the CMIP6 data available on AWS please email sustainability-data-initiative@amazon.com. We are acepting requests for additional CMIP6 variables and/or models to be made available to AWS but cannot guarantee that your request will be fulfilled. We will prioritize requests that bring value to the largest number of users. Note that we are not providing technical support through this email account.We also seek to identify case studies on how CMIP6 data is being used and will be featuring those stories in future publications and events. If you are interested in seeing your story highlighted, please share it with the ASDI team here: sustainability-data-initiative@amazon.com.", @@ -4831,8 +4831,8 @@ "weather" ], "Explore": [ - "[Browse Bucket](https://cmip6-pds.s3.amazonaws.com/index.html#CMIP6/)", - "[Data Catalog](https://cmip6-pds.s3.amazonaws.com/pangeo-cmip6.csv)" + "[Browse Bucket](https://esgf-world.s3.amazonaws.com/index.html)", + "[Data Catalog](https://cmip6-nc.s3.amazonaws.com/esgf-world.csv.gz)" ], "RequesterPays": null, "ControlledAccess": null, @@ -4970,10 +4970,10 @@ }, { "Name": "CryoET Data Portal", - "Description": "CryoET Data Portal", - "ARN": "arn:aws:s3:::cryoet-data-portal-public", + "Description": "Globally cached distribution of the CryoET Data Portal dataset", + "ARN": null, "Region": "us-west-2", - "Type": "S3 Bucket", + "Type": "CloudFront Distribution", "Documentation": "https://chanzuckerberg.github.io/cryoet-data-portal/cryoet_data_portal_docsite_quick_start.html", "Contact": "cryoetdataportal@chanzuckerberg.com", "ManagedBy": "[Chan Zuckerberg Initiative Foundation](http://www.chanzuckerberg.com/)", @@ -4988,20 +4988,18 @@ "segmentation", "czi" ], - "Explore": [ - "[Website](https://cryoetdataportal.czscience.com/)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, - "Host": null + "Host": "https://files.cryoetdataportal.cziscience.com" }, { "Name": "CryoET Data Portal", - "Description": "Globally cached distribution of the CryoET Data Portal dataset", - "ARN": null, + "Description": "CryoET Data Portal", + "ARN": "arn:aws:s3:::cryoet-data-portal-public", "Region": "us-west-2", - "Type": "CloudFront Distribution", + "Type": "S3 Bucket", "Documentation": "https://chanzuckerberg.github.io/cryoet-data-portal/cryoet_data_portal_docsite_quick_start.html", "Contact": "cryoetdataportal@chanzuckerberg.com", "ManagedBy": "[Chan Zuckerberg Initiative Foundation](http://www.chanzuckerberg.com/)", @@ -5016,11 +5014,13 @@ "segmentation", "czi" ], - "Explore": null, + "Explore": [ + "[Website](https://cryoetdataportal.czscience.com/)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, - "Host": "https://files.cryoetdataportal.cziscience.com" + "Host": null }, { "Name": "DARPA Invisible Headlights Dataset", @@ -5051,8 +5051,8 @@ }, { "Name": "DIWASA Rainfed and Irrigated Cropland Map for Africa", - "Description": "Cropland partitioning all data", - "ARN": "arn:aws:s3:::iwmi-datasets/Cropland_partition/", + "Description": "high-confidence cropland map (HCCM)", + "ARN": "arn:aws:s3:::iwmi-datasets/Cropland_partition/HCCM/", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://github.com/iwmiwaplus/ODR/tree/master/Partitioned%20Croplands", @@ -5078,8 +5078,8 @@ }, { "Name": "DIWASA Rainfed and Irrigated Cropland Map for Africa", - "Description": "high-confidence cropland map (HCCM)", - "ARN": "arn:aws:s3:::iwmi-datasets/Cropland_partition/HCCM/", + "Description": "Cropland partitioning all data", + "ARN": "arn:aws:s3:::iwmi-datasets/Cropland_partition/", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://github.com/iwmiwaplus/ODR/tree/master/Partitioned%20Croplands", @@ -5143,8 +5143,8 @@ }, { "Name": "DOE's Water Power Technology Office's (WPTO) US Wave dataset", - "Description": "32 Year Wave Hindcast (1979-2010) for the Atlantic Coast of the United States at 3-hour temporal resolution and down to 200m spatial resolution in HDF5 format", - "ARN": "arn:aws:s3:::wpto-pds-us-wave/v1.0.0/Atlantic/", + "Description": "32 Year Wave Hindcast (1979-2010) for the West Coast of the United States at 3-hour temporal resolution and down to 200m spatial resolution in HDF5 format", + "ARN": "arn:aws:s3:::wpto-pds-us-wave/v1.0.0/West_Coast/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/blob/master/US_Wave.md", @@ -5161,7 +5161,7 @@ "water" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FAtlantic%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FWest_Coast%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5170,8 +5170,8 @@ }, { "Name": "DOE's Water Power Technology Office's (WPTO) US Wave dataset", - "Description": "32 Year Wave Hindcast (1979-2010) for the Pacific Ocean around US state of Hawaii at 3-hour temporal resolution and down to 200m spatial resolution in HDF5 format", - "ARN": "arn:aws:s3:::wpto-pds-us-wave/v1.0.0/Hawaii/", + "Description": "32 Year Wave Hindcast (1979-2010) for the Atlantic Coast of the United States at 3-hour temporal resolution and down to 200m spatial resolution in HDF5 format", + "ARN": "arn:aws:s3:::wpto-pds-us-wave/v1.0.0/Atlantic/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/blob/master/US_Wave.md", @@ -5188,7 +5188,7 @@ "water" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FHawaii%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FAtlantic%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5197,8 +5197,8 @@ }, { "Name": "DOE's Water Power Technology Office's (WPTO) US Wave dataset", - "Description": "32 Year Wave Hindcast (1979-2010) for the West Coast of the United States at 3-hour temporal resolution and down to 200m spatial resolution in HDF5 format", - "ARN": "arn:aws:s3:::wpto-pds-us-wave/v1.0.0/West_Coast/", + "Description": "32 Year Wave Hindcast (1979-2010) from select virtual buoys along the West Coast of the United States with 1-hour temporal resolution and direction wave spectrum data in HDF5 format", + "ARN": "arn:aws:s3:::wpto-pds-us-wave/v1.0.0/virtual_buoy/West_Coast/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/blob/master/US_Wave.md", @@ -5215,7 +5215,7 @@ "water" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FWest_Coast%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2Fvirtual_buoy%2FWest_Coast%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5305,8 +5305,8 @@ }, { "Name": "DOE's Water Power Technology Office's (WPTO) US Wave dataset", - "Description": "32 Year Wave Hindcast (1979-2010) from select virtual buoys along the West Coast of the United States with 1-hour temporal resolution and direction wave spectrum data in HDF5 format", - "ARN": "arn:aws:s3:::wpto-pds-us-wave/v1.0.0/virtual_buoy/West_Coast/", + "Description": "32 Year Wave Hindcast (1979-2010) for the Pacific Ocean around US state of Hawaii at 3-hour temporal resolution and down to 200m spatial resolution in HDF5 format", + "ARN": "arn:aws:s3:::wpto-pds-us-wave/v1.0.0/Hawaii/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/blob/master/US_Wave.md", @@ -5323,7 +5323,7 @@ "water" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2Fvirtual_buoy%2FWest_Coast%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FHawaii%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5383,10 +5383,10 @@ }, { "Name": "Daylight Map Distribution of OpenStreetMap", - "Description": "Daylight Earth Table (Parquet)", - "ARN": "arn:aws:s3:::daylight-openstreetmap/earth", + "Description": "New Parquet File Notification", + "ARN": "arn:aws:sns:us-west-2:632571768781:Analysis_Ready_Daylight", "Region": "us-west-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "[Project Website](https://daylightmap.org)", "Contact": "osm@fb.com", "ManagedBy": "[Meta](https://dataforgood.fb.com/)", @@ -5407,10 +5407,10 @@ }, { "Name": "Daylight Map Distribution of OpenStreetMap", - "Description": "New Parquet File Notification", - "ARN": "arn:aws:sns:us-west-2:632571768781:Analysis_Ready_Daylight", - "Region": "us-west-2", - "Type": "SNS Topic", + "Description": "Daylight OSM PBF Files", + "ARN": "arn:aws:s3:::daylight-map-distribution/release/", + "Region": "us-west-1", + "Type": "S3 Bucket", "Documentation": "[Project Website](https://daylightmap.org)", "Contact": "osm@fb.com", "ManagedBy": "[Meta](https://dataforgood.fb.com/)", @@ -5431,9 +5431,9 @@ }, { "Name": "Daylight Map Distribution of OpenStreetMap", - "Description": "Daylight OSM PBF Files", - "ARN": "arn:aws:s3:::daylight-map-distribution/release/", - "Region": "us-west-1", + "Description": "Daylight OSM Features (Parquet)", + "ARN": "arn:aws:s3:::daylight-openstreetmap/parquet/osm_features", + "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[Project Website](https://daylightmap.org)", "Contact": "osm@fb.com", @@ -5479,8 +5479,8 @@ }, { "Name": "Daylight Map Distribution of OpenStreetMap", - "Description": "Daylight OSM Features (Parquet)", - "ARN": "arn:aws:s3:::daylight-openstreetmap/parquet/osm_features", + "Description": "Daylight Earth Table (Parquet)", + "ARN": "arn:aws:s3:::daylight-openstreetmap/earth", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[Project Website](https://daylightmap.org)", @@ -5614,8 +5614,8 @@ }, { "Name": "Department of Energy's Marine Energy Data Lake", - "Description": "Tidal Resource Data from Sequim Bay Inlet, WA, August 2020", - "ARN": "arn:aws:s3:::marine-energy-data/primre/sequim-tidal-resource/", + "Description": "Data Catalog of the Marine and Hydrokinetic Data Repository", + "ARN": "arn:aws:s3:::marine-energy-data/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5630,7 +5630,7 @@ "water" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=marine-energy-data&prefix=primre%2Fsequim-tidal-resource%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=marine-energy-data)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5639,8 +5639,8 @@ }, { "Name": "Department of Energy's Marine Energy Data Lake", - "Description": "Data Catalog of the Marine and Hydrokinetic Data Repository", - "ARN": "arn:aws:s3:::marine-energy-data/", + "Description": "Tidal Resource Data from Sequim Bay Inlet, WA, August 2020", + "ARN": "arn:aws:s3:::marine-energy-data/primre/sequim-tidal-resource/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5655,7 +5655,7 @@ "water" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=marine-energy-data)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=marine-energy-data&prefix=primre%2Fsequim-tidal-resource%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5664,8 +5664,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting", - "ARN": "arn:aws:s3:::oedi-data-lake/buildings-bench/", + "Description": "Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios (SMART-DS) Datasets", + "ARN": "arn:aws:s3:::oedi-data-lake/SMART-DS/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5683,7 +5683,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=buildings-bench)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=SMART-DS%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5692,8 +5692,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "Wind and Structural Loads on Parabolic Trough Solar Collectors at Nevada Solar One", - "ARN": "arn:aws:s3:::oedi-data-lake/NSO/", + "Description": "National Renewable Energy Laboratory (NREL) PV Rooftop Database - Puerto Rico (PVRDB-PR)", + "ARN": "arn:aws:s3:::oedi-data-lake/pv-rooftop-pr/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5711,7 +5711,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=NSO%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=pv-rooftop-pr%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5720,8 +5720,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "Data Catalog of the Open Energy Data Initiative (OEDI)", - "ARN": "arn:aws:s3:::oedi-data-lake/", + "Description": "NREL's Annual Technology Baseline (ATB)", + "ARN": "arn:aws:s3:::oedi-data-lake/ATB/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5739,7 +5739,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5748,8 +5748,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy", - "ARN": "arn:aws:s3:::oedi-data-lake/umcm/", + "Description": "End-Use Load Profiles for the US Building Stock", + "ARN": "arn:aws:s3:::oedi-data-lake/nrel-pds-building-stock/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5767,7 +5767,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=umcm%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=nrel-pds-building-stock%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5776,8 +5776,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "PR100: Puerto Rico Grid Resilience and Transition to 100% Renewable Energy", - "ARN": "arn:aws:s3:::oedi-data-lake/PR100/", + "Description": "Photovoltaic Data Acquisition (PVDAQ) Public Datasets", + "ARN": "arn:aws:s3:::oedi-data-lake/pvdaq/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5795,7 +5795,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=PR100%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=pvdaq%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5804,8 +5804,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "National Renewable Energy Laboratory (NREL) PV Rooftop Database - Puerto Rico (PVRDB-PR)", - "ARN": "arn:aws:s3:::oedi-data-lake/pv-rooftop-pr/", + "Description": "University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy", + "ARN": "arn:aws:s3:::oedi-data-lake/umcm/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5823,7 +5823,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=pv-rooftop-pr%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=umcm%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5832,8 +5832,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "NREL's Annual Technology Baseline (ATB)", - "ARN": "arn:aws:s3:::oedi-data-lake/ATB/", + "Description": "BUTTER - Empirical Deep Learning Dataset", + "ARN": "arn:aws:s3:::oedi-data-lake/butter/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5851,7 +5851,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=butter%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5860,8 +5860,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios (SMART-DS) Datasets", - "ARN": "arn:aws:s3:::oedi-data-lake/SMART-DS/", + "Description": "National Renewable Energy Laboratory (NREL) PV Rooftop Database - (PVRDB)", + "ARN": "arn:aws:s3:::oedi-data-lake/pv-rooftop/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5879,7 +5879,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=SMART-DS%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=pv-rooftop%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5888,8 +5888,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "Lawrence Berkeley National Laboratory (LBNL) Tracking the Sun", - "ARN": "arn:aws:s3:::oedi-data-lake/tracking-the-sun/", + "Description": "PR100: Puerto Rico Grid Resilience and Transition to 100% Renewable Energy", + "ARN": "arn:aws:s3:::oedi-data-lake/PR100/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5907,7 +5907,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=tracking-the-sun%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=PR100%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5916,8 +5916,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "Distributed Generation Market Demand (dGen) model", - "ARN": "arn:aws:s3:::oedi-data-lake/dgen/", + "Description": "Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)", + "ARN": "arn:aws:s3:::oedi-data-lake/dsgrid-2018-efs/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5935,7 +5935,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=dgen%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=dsgrid-2018-efs%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5944,8 +5944,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "AlphaBuilding - Synthetic Buildings Operation Dataset", - "ARN": "arn:aws:s3:::oedi-data-lake/building_synthetic_dataset/", + "Description": "Wind and Structural Loads on Parabolic Trough Solar Collectors at Nevada Solar One", + "ARN": "arn:aws:s3:::oedi-data-lake/NSO/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5963,7 +5963,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=building_synthetic_dataset%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=NSO%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -5972,8 +5972,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "BUTTER - Empirical Deep Learning Dataset", - "ARN": "arn:aws:s3:::oedi-data-lake/butter/", + "Description": "BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting", + "ARN": "arn:aws:s3:::oedi-data-lake/buildings-bench/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -5991,7 +5991,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=butter%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=buildings-bench)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6000,8 +6000,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "Photovoltaic Data Acquisition (PVDAQ) Public Datasets", - "ARN": "arn:aws:s3:::oedi-data-lake/pvdaq/", + "Description": "Lawrence Berkeley National Laboratory (LBNL) Tracking the Sun", + "ARN": "arn:aws:s3:::oedi-data-lake/tracking-the-sun/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6019,7 +6019,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=pvdaq%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=tracking-the-sun%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6028,8 +6028,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "End-Use Load Profiles for the US Building Stock", - "ARN": "arn:aws:s3:::oedi-data-lake/nrel-pds-building-stock/", + "Description": "Distributed Generation Market Demand (dGen) model", + "ARN": "arn:aws:s3:::oedi-data-lake/dgen/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6047,7 +6047,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=nrel-pds-building-stock%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=dgen%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6056,8 +6056,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "National Renewable Energy Laboratory (NREL) PV Rooftop Database - (PVRDB)", - "ARN": "arn:aws:s3:::oedi-data-lake/pv-rooftop/", + "Description": "AlphaBuilding - Synthetic Buildings Operation Dataset", + "ARN": "arn:aws:s3:::oedi-data-lake/building_synthetic_dataset/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6075,7 +6075,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=pv-rooftop%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=building_synthetic_dataset%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6084,8 +6084,8 @@ }, { "Name": "Department of Energy's Open Energy Data Initiative (OEDI)", - "Description": "Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)", - "ARN": "arn:aws:s3:::oedi-data-lake/dsgrid-2018-efs/", + "Description": "Data Catalog of the Open Energy Data Initiative (OEDI)", + "ARN": "arn:aws:s3:::oedi-data-lake/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6103,7 +6103,7 @@ "lidar" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=dsgrid-2018-efs%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6112,8 +6112,8 @@ }, { "Name": "Department of Energy\u2019s Geothermal Data Repository (GDR) Data Lake", - "Description": "Soda Lake Geothermal: Raw 3D and 3C Seismic-Reflection Data from 2010 Survey", - "ARN": "arn:aws:s3:::gdr-data-lake/soda_lake/raw_seismic/2010", + "Description": "Data Catalog of the Geothermal Data Repository (GDR)", + "ARN": "arn:aws:s3:::gdr-data-lake/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6127,7 +6127,7 @@ "geothermal" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=soda_lake%2Fraw_seismic%2F2010%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6136,8 +6136,8 @@ }, { "Name": "Department of Energy\u2019s Geothermal Data Repository (GDR) Data Lake", - "Description": "EGS Collab Experiment 2: Microseismic Monitoring", - "ARN": "arn:aws:s3:::gdr-data-lake/egs_collab/experiment_2/passive_seismic/", + "Description": "EGS Collab Experiment 1: Continuous Active-Source Seismic Monitoring (CASSM) Data", + "ARN": "arn:aws:s3:::gdr-data-lake/egs_collab/experiment_1/EGS_CASSM", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6151,7 +6151,7 @@ "geothermal" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_2%2Fpassive_seismic%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_1%2FEGS_CASSM%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6160,8 +6160,8 @@ }, { "Name": "Department of Energy\u2019s Geothermal Data Repository (GDR) Data Lake", - "Description": "Data Catalog of the Geothermal Data Repository (GDR)", - "ARN": "arn:aws:s3:::gdr-data-lake/", + "Description": "Imperial Valley Dark Fiber Project Continuous DAS Data", + "ARN": "arn:aws:s3:::gdr-data-lake/imperialvalleydas", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6175,7 +6175,7 @@ "geothermal" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=imperialvalleydas%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6184,8 +6184,8 @@ }, { "Name": "Department of Energy\u2019s Geothermal Data Repository (GDR) Data Lake", - "Description": "EGS Collab Experiment 1: Continuous Active-Source Seismic Monitoring (CASSM) Data", - "ARN": "arn:aws:s3:::gdr-data-lake/egs_collab/experiment_1/EGS_CASSM", + "Description": "Seismic Survey 2016 Data at Crescent Valley, Nevada", + "ARN": "arn:aws:s3:::gdr-data-lake/wholescale/subter_seismic/crescent_valley", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6199,7 +6199,7 @@ "geothermal" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_1%2FEGS_CASSM%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=wholescale%2Fsubter_seismic%2Fcrescent_valley%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6208,8 +6208,8 @@ }, { "Name": "Department of Energy\u2019s Geothermal Data Repository (GDR) Data Lake", - "Description": "Imperial Valley Dark Fiber Project Continuous DAS Data", - "ARN": "arn:aws:s3:::gdr-data-lake/imperialvalleydas", + "Description": "Seismic Survey 2016 Data at San Emidio Nevada", + "ARN": "arn:aws:s3:::gdr-data-lake/wholescale/subter_seismic/san_emidio", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6223,7 +6223,7 @@ "geothermal" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=imperialvalleydas%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=wholescale%2Fsubter_seismic%2Fsan_emidio%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6232,8 +6232,8 @@ }, { "Name": "Department of Energy\u2019s Geothermal Data Repository (GDR) Data Lake", - "Description": "Utah FORGE: Neubrex Well 16B(78)-32 DAS Data - April 2024", - "ARN": "arn:aws:s3:::gdr-data-lake/FORGE/DAS/Neubrex/", + "Description": "WHOLESCALE: Seismic Survey Data from San Emidio Nevada 2021", + "ARN": "arn:aws:s3:::gdr-data-lake/wholescale/2021_seismic", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6247,7 +6247,7 @@ "geothermal" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=FORGE%2FDAS%2FNeubrex%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=wholescale%2F2021_seismic%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6256,8 +6256,8 @@ }, { "Name": "Department of Energy\u2019s Geothermal Data Repository (GDR) Data Lake", - "Description": "Seismic Survey 2016 Data at San Emidio Nevada", - "ARN": "arn:aws:s3:::gdr-data-lake/wholescale/subter_seismic/san_emidio", + "Description": "Soda Lake Geothermal: Raw 3D and 3C Seismic-Reflection Data from 2010 Survey", + "ARN": "arn:aws:s3:::gdr-data-lake/soda_lake/raw_seismic/2010", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6271,7 +6271,7 @@ "geothermal" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=wholescale%2Fsubter_seismic%2Fsan_emidio%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=soda_lake%2Fraw_seismic%2F2010%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6280,8 +6280,8 @@ }, { "Name": "Department of Energy\u2019s Geothermal Data Repository (GDR) Data Lake", - "Description": "EGS Collab Experiment 2: Distributed Fiber Optic Acoustic Data (DAS)", - "ARN": "arn:aws:s3:::gdr-data-lake/egs_collab/experiment_2/DAS/", + "Description": "EGS Collab Experiment 2: Microseismic Monitoring", + "ARN": "arn:aws:s3:::gdr-data-lake/egs_collab/experiment_2/passive_seismic/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6295,7 +6295,7 @@ "geothermal" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_2%2FDAS%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_2%2Fpassive_seismic%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6304,8 +6304,8 @@ }, { "Name": "Department of Energy\u2019s Geothermal Data Repository (GDR) Data Lake", - "Description": "Seismic Survey 2016 Data at Crescent Valley, Nevada", - "ARN": "arn:aws:s3:::gdr-data-lake/wholescale/subter_seismic/crescent_valley", + "Description": "EGS Collab Experiment 2: Distributed Fiber Optic Acoustic Data (DAS)", + "ARN": "arn:aws:s3:::gdr-data-lake/egs_collab/experiment_2/DAS/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6319,7 +6319,7 @@ "geothermal" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=wholescale%2Fsubter_seismic%2Fcrescent_valley%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_2%2FDAS%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6328,8 +6328,8 @@ }, { "Name": "Department of Energy\u2019s Geothermal Data Repository (GDR) Data Lake", - "Description": "WHOLESCALE: Seismic Survey Data from San Emidio Nevada 2021", - "ARN": "arn:aws:s3:::gdr-data-lake/wholescale/2021_seismic", + "Description": "Utah FORGE: Neubrex Well 16B(78)-32 DAS Data - April 2024", + "ARN": "arn:aws:s3:::gdr-data-lake/FORGE/DAS/Neubrex/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/openEDI/documentation/", @@ -6343,7 +6343,7 @@ "geothermal" ], "Explore": [ - "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=wholescale%2F2021_seismic%2F)" + "[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=FORGE%2FDAS%2FNeubrex%2F)" ], "RequesterPays": null, "ControlledAccess": null, @@ -6597,10 +6597,10 @@ }, { "Name": "Digital Earth Africa Coastlines", - "Description": "DE Africa Coastlines", - "ARN": "arn:aws:s3:::deafrica-services/coastlines", + "Description": "Bucket creation event notification, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Coastlines_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -6617,7 +6617,7 @@ "deafrica" ], "Explore": null, - "RequesterPays": false, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null @@ -6651,10 +6651,10 @@ }, { "Name": "Digital Earth Africa Coastlines", - "Description": "Bucket creation event notification, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", + "Description": "DE Africa Coastlines", + "ARN": "arn:aws:s3:::deafrica-services/coastlines", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Coastlines_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -6671,7 +6671,7 @@ "deafrica" ], "Explore": null, - "RequesterPays": null, + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null @@ -6767,10 +6767,10 @@ }, { "Name": "Digital Earth Africa Fractional Cover", - "Description": "Bucket creation event notification, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", + "Description": "Fractional Cover Annual Summary data", + "ARN": "arn:aws:s3:::deafrica-services/fc_ls_summary_annual", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -6789,8 +6789,10 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/fc_ls_summary_annual)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null @@ -6827,10 +6829,10 @@ }, { "Name": "Digital Earth Africa Fractional Cover", - "Description": "Fractional Cover data", - "ARN": "arn:aws:s3:::deafrica-services/fc_ls", + "Description": "New scene notifications, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -6849,20 +6851,18 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/fc_ls)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Fractional Cover", - "Description": "Fractional Cover Annual Summary data", - "ARN": "arn:aws:s3:::deafrica-services/fc_ls_summary_annual", + "Description": "Bucket creation event notification, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -6881,20 +6881,18 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/fc_ls_summary_annual)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Fractional Cover", - "Description": "New scene notifications, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs", + "Description": "Fractional Cover data", + "ARN": "arn:aws:s3:::deafrica-services/fc_ls", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -6913,16 +6911,18 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/fc_ls)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa GeoMAD", - "Description": "Landsat 5 and 7 GeoMAD (Annual) data", - "ARN": "arn:aws:s3:::deafrica-services/gm_ls5_ls7_annual", + "Description": "Landsat 8 GeoMAD (Annual) data", + "ARN": "arn:aws:s3:::deafrica-services/gm_ls8_annual", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html", @@ -6943,7 +6943,7 @@ "cog" ], "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_ls5_ls7_annual)" + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_ls8_annual)" ], "RequesterPays": false, "ControlledAccess": null, @@ -6952,8 +6952,8 @@ }, { "Name": "Digital Earth Africa GeoMAD", - "Description": "S3 Inventory", - "ARN": "arn:aws:s3:::deafrica-services-inventory", + "Description": "Sentinel-2 GeoMAD (Annual) data", + "ARN": "arn:aws:s3:::deafrica-services/gm_s2_annual", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html", @@ -6973,16 +6973,18 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_s2_annual)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa GeoMAD", - "Description": "Sentinel-2 GeoMAD (Annual) data", - "ARN": "arn:aws:s3:::deafrica-services/gm_s2_annual", + "Description": "Sentinel-2 GeoMAD (Semi-Annual) data", + "ARN": "arn:aws:s3:::deafrica-services/gm_s2_semiannual", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html", @@ -7003,7 +7005,7 @@ "cog" ], "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_s2_annual)" + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_s2_semiannual)" ], "RequesterPays": false, "ControlledAccess": null, @@ -7012,10 +7014,10 @@ }, { "Name": "Digital Earth Africa GeoMAD", - "Description": "Bucket creation event notification, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", + "Description": "Landsat 5 and 7 GeoMAD (Annual) data", + "ARN": "arn:aws:s3:::deafrica-services/gm_ls5_ls7_annual", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7033,18 +7035,20 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_ls5_ls7_annual)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa GeoMAD", - "Description": "Landsat 8 GeoMAD (Annual) data", - "ARN": "arn:aws:s3:::deafrica-services/gm_ls8_annual", + "Description": "Bucket creation event notification, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7062,18 +7066,16 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_ls8_annual)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa GeoMAD", - "Description": "Sentinel-2 GeoMAD (Semi-Annual) data", - "ARN": "arn:aws:s3:::deafrica-services/gm_s2_semiannual", + "Description": "S3 Inventory", + "ARN": "arn:aws:s3:::deafrica-services-inventory", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html", @@ -7093,18 +7095,16 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_s2_semiannual)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Global Mangrove Watch", - "Description": "S3 Inventory", - "ARN": "arn:aws:s3:::deafrica-services-inventory", + "Description": "Global Mangrove Watch", + "ARN": "arn:aws:s3:::deafrica-input-datasets/gmw", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Global_Mangrove_Watch_specs.html", @@ -7125,18 +7125,20 @@ "cog", "land cover" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gmw)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Global Mangrove Watch", - "Description": "Bucket creation event notification, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-input-datasets-topic", + "Description": "S3 Inventory", + "ARN": "arn:aws:s3:::deafrica-services-inventory", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Global_Mangrove_Watch_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7163,10 +7165,10 @@ }, { "Name": "Digital Earth Africa Global Mangrove Watch", - "Description": "Global Mangrove Watch", - "ARN": "arn:aws:s3:::deafrica-input-datasets/gmw", + "Description": "Bucket creation event notification, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-input-datasets-topic", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Global_Mangrove_Watch_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7185,20 +7187,18 @@ "cog", "land cover" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gmw)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Landsat Collection 2 Level 2", - "Description": "Bucket creation event notification, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-landsat-topic", + "Description": "Landsat scenes and metadata", + "ARN": "arn:aws:s3:::deafrica-landsat", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_SR_specs.html https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_ST_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7216,8 +7216,10 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null @@ -7253,10 +7255,10 @@ }, { "Name": "Digital Earth Africa Landsat Collection 2 Level 2", - "Description": "S3 Inventory files", - "ARN": "arn:aws:s3:::deafrica-landsat-inventory", + "Description": "Bucket creation event notification, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-landsat-topic", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_SR_specs.html https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_ST_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7282,8 +7284,8 @@ }, { "Name": "Digital Earth Africa Landsat Collection 2 Level 2", - "Description": "Landsat scenes and metadata", - "ARN": "arn:aws:s3:::deafrica-landsat", + "Description": "S3 Inventory files", + "ARN": "arn:aws:s3:::deafrica-landsat-inventory", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_SR_specs.html https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_ST_specs.html", @@ -7303,18 +7305,16 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Monthly Normalised Difference Vegetation Index (NDVI) Anomaly", - "Description": "S3 Inventory", - "ARN": "arn:aws:s3:::deafrica-services-inventory", + "Description": "Monthly Normalised Difference Vegetation Index (NDVI) Anomaly", + "ARN": "arn:aws:s3:::deafrica-services/ndvi_anomaly", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/NDVI_Anomaly_specs.html", @@ -7334,18 +7334,20 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/ndvi_anomaly)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Monthly Normalised Difference Vegetation Index (NDVI) Anomaly", - "Description": "New scene notifications, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs", + "Description": "S3 Inventory", + "ARN": "arn:aws:s3:::deafrica-services-inventory", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/NDVI_Anomaly_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7371,8 +7373,8 @@ }, { "Name": "Digital Earth Africa Monthly Normalised Difference Vegetation Index (NDVI) Anomaly", - "Description": "Bucket creation event notification, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", + "Description": "New scene notifications, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs", "Region": "af-south-1", "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/NDVI_Anomaly_specs.html", @@ -7400,10 +7402,10 @@ }, { "Name": "Digital Earth Africa Monthly Normalised Difference Vegetation Index (NDVI) Anomaly", - "Description": "Monthly Normalised Difference Vegetation Index (NDVI) Anomaly", - "ARN": "arn:aws:s3:::deafrica-services/ndvi_anomaly", + "Description": "Bucket creation event notification, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/NDVI_Anomaly_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7421,20 +7423,18 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/ndvi_anomaly)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology", - "Description": "Normalised Difference Vegetation Index (NDVI) Climatology", - "ARN": "arn:aws:s3:::deafrica-services/ndvi_climatology_ls", + "Description": "Bucket creation event notification, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/ndvi_climatology_ls.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7452,18 +7452,16 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/ndvi_climatology_ls)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology", - "Description": "S3 Inventory", - "ARN": "arn:aws:s3:::deafrica-services-inventory", + "Description": "Normalised Difference Vegetation Index (NDVI) Climatology", + "ARN": "arn:aws:s3:::deafrica-services/ndvi_climatology_ls", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/ndvi_climatology_ls.html", @@ -7483,18 +7481,20 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/ndvi_climatology_ls)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology", - "Description": "New scene notifications, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs", + "Description": "S3 Inventory", + "ARN": "arn:aws:s3:::deafrica-services-inventory", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/ndvi_climatology_ls.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7520,8 +7520,8 @@ }, { "Name": "Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology", - "Description": "Bucket creation event notification, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", + "Description": "New scene notifications, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs", "Region": "af-south-1", "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/ndvi_climatology_ls.html", @@ -7549,8 +7549,8 @@ }, { "Name": "Digital Earth Africa Sentinel-1 Radiometrically Terrain Corrected", - "Description": "New scene notifications, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-1-scene-topic", + "Description": "Bucket creation event notification, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-1-topic", "Region": "af-south-1", "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-1_specs.html", @@ -7579,10 +7579,10 @@ }, { "Name": "Digital Earth Africa Sentinel-1 Radiometrically Terrain Corrected", - "Description": "Sentinel-1 tiles and metadata", - "ARN": "arn:aws:s3:::deafrica-sentinel-1", + "Description": "New scene notifications, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-1-scene-topic", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-1_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7601,10 +7601,8 @@ "cog", "synthetic aperture radar" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/s1_rtc)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null @@ -7641,10 +7639,10 @@ }, { "Name": "Digital Earth Africa Sentinel-1 Radiometrically Terrain Corrected", - "Description": "Bucket creation event notification, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-1-topic", + "Description": "Sentinel-1 tiles and metadata", + "ARN": "arn:aws:s3:::deafrica-sentinel-1", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-1_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7663,18 +7661,20 @@ "cog", "synthetic aperture radar" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/s1_rtc)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Sentinel-2 Level-2A", - "Description": "Sentinel-2 scenes and metadata", - "ARN": "arn:aws:s3:::deafrica-sentinel-2", + "Description": "Bucket creation event notification, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-2-topic", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-2_Level-2A_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7692,10 +7692,8 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/s2_l2a)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null @@ -7731,10 +7729,10 @@ }, { "Name": "Digital Earth Africa Sentinel-2 Level-2A", - "Description": "Bucket creation event notification, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-2-topic", + "Description": "S3 Inventory", + "ARN": "arn:aws:s3:::deafrica-sentinel-2-inventory", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-2_Level-2A_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7760,8 +7758,8 @@ }, { "Name": "Digital Earth Africa Sentinel-2 Level-2A", - "Description": "S3 Inventory", - "ARN": "arn:aws:s3:::deafrica-sentinel-2-inventory", + "Description": "Sentinel-2 scenes and metadata", + "ARN": "arn:aws:s3:::deafrica-sentinel-2", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-2_Level-2A_specs.html", @@ -7781,18 +7779,20 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/s2_l2a)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Water Observations from Space", - "Description": "Water Observations from Space data", - "ARN": "arn:aws:s3:::deafrica-services/wofs_ls", + "Description": "Bucket creation event notification, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7811,20 +7811,18 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Water Observations from Space", - "Description": "Water Observations from Space Annual Summary data", - "ARN": "arn:aws:s3:::deafrica-services/wofs_ls_summary_annual", + "Description": "New scene notifications, can subscribe with Lambda", + "ARN": "arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs", "Region": "af-south-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7843,18 +7841,16 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls_summary_annual)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Water Observations from Space", - "Description": "Water Observations from Space All-Time Summary data", - "ARN": "arn:aws:s3:::deafrica-services/wofs_ls_summary_alltime", + "Description": "S3 Inventory", + "ARN": "arn:aws:s3:::deafrica-services-inventory", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html", @@ -7875,18 +7871,16 @@ "stac", "cog" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls_summary_alltime)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Water Observations from Space", - "Description": "S3 Inventory", - "ARN": "arn:aws:s3:::deafrica-services-inventory", + "Description": "Water Observations from Space All-Time Summary data", + "ARN": "arn:aws:s3:::deafrica-services/wofs_ls_summary_alltime", "Region": "af-south-1", "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html", @@ -7907,18 +7901,20 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls_summary_alltime)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Water Observations from Space", - "Description": "New scene notifications, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs", + "Description": "Water Observations from Space Annual Summary data", + "ARN": "arn:aws:s3:::deafrica-services/wofs_ls_summary_annual", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7937,18 +7933,20 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls_summary_annual)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Digital Earth Africa Water Observations from Space", - "Description": "Bucket creation event notification, can subscribe with Lambda", - "ARN": "arn:aws:sns:af-south-1:543785577597:deafrica-services-topic", + "Description": "Water Observations from Space data", + "ARN": "arn:aws:s3:::deafrica-services/wofs_ls", "Region": "af-south-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html", "Contact": "helpdesk@digitalearthafrica.org", "ManagedBy": "[Digital Earth Africa](https://www.digitalearthafrica.org/)", @@ -7967,8 +7965,10 @@ "stac", "cog" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null @@ -8195,10 +8195,10 @@ }, { "Name": "EPA Dynamically Downscaled Ensemble (EDDE)", - "Description": "EDDE data are compressed netCDF (https://unidataucaredu/software/netcdf/) files that conform to Climate and Forecast (CF) metdata conventions (https://cfconventionsorg) The data can be ingested, processed, and visualized using standard netCDF utility routines in various programming languages Information on the model projection and grid structure is contained in the header information of each netCDF file Two timekeeping variables are in the files The variable \"time\" conforms to CF conventions using the \"hours since\" construct, where the reference time is given as the initialization of the simulation The \"mtime\" variable is a user-readable string that aligns with \"time\" expressed as YYYY-MM-DD_HH:MI:SS Additional information can be found at https://wwwepagov/climate-research/climate-change-tools-protect-public-health-and-environment", - "ARN": "arn:aws:s3:::epa-edde", + "Description": "Notifications for EDDE bucket", + "ARN": "arn:aws:sns:us-east-1:127085394039:epa-edde-object_created", "Region": "us-east-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "EDDE Version 1 can be referenced using https://doi.org/10.23719/1530964 Please see the Data Use Statement and additional background information on the EDDE webpage, accessible from: https://www.epa.gov/climate-research/climate-change-tools-protect-public-health-and-environment", "Contact": "spero.tanya@epa.gov; mallard.megan@epa.gov", "ManagedBy": "U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Atmospheric and Environmental Systems Modeling Division", @@ -8247,9 +8247,7 @@ "hydrology", "water" ], - "Explore": [ - "[Browse Bucket](https://epa-edde.s3.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -8257,10 +8255,10 @@ }, { "Name": "EPA Dynamically Downscaled Ensemble (EDDE)", - "Description": "Notifications for EDDE bucket", - "ARN": "arn:aws:sns:us-east-1:127085394039:epa-edde-object_created", + "Description": "EDDE data are compressed netCDF (https://unidataucaredu/software/netcdf/) files that conform to Climate and Forecast (CF) metdata conventions (https://cfconventionsorg) The data can be ingested, processed, and visualized using standard netCDF utility routines in various programming languages Information on the model projection and grid structure is contained in the header information of each netCDF file Two timekeeping variables are in the files The variable \"time\" conforms to CF conventions using the \"hours since\" construct, where the reference time is given as the initialization of the simulation The \"mtime\" variable is a user-readable string that aligns with \"time\" expressed as YYYY-MM-DD_HH:MI:SS Additional information can be found at https://wwwepagov/climate-research/climate-change-tools-protect-public-health-and-environment", + "ARN": "arn:aws:s3:::epa-edde", "Region": "us-east-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "EDDE Version 1 can be referenced using https://doi.org/10.23719/1530964 Please see the Data Use Statement and additional background information on the EDDE webpage, accessible from: https://www.epa.gov/climate-research/climate-change-tools-protect-public-health-and-environment", "Contact": "spero.tanya@epa.gov; mallard.megan@epa.gov", "ManagedBy": "U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Atmospheric and Environmental Systems Modeling Division", @@ -8309,7 +8307,9 @@ "hydrology", "water" ], - "Explore": null, + "Explore": [ + "[Browse Bucket](https://epa-edde.s3.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -8502,8 +8502,8 @@ }, { "Name": "Earth Observation Data Cubes for Brazil", - "Description": "Notifications for new EO Data Cubes Sentinel-2 scenes", - "ARN": "arn:aws:sns:us-west-2:896627514407:bdc-sentinel-2-object_created", + "Description": "Notifications for new EO Data Cubes CBERS scenes", + "ARN": "arn:aws:sns:us-west-2:896627514407:bdc-cbers-object_created", "Region": "us-west-2", "Type": "SNS Topic", "Documentation": "http://brazildatacube.org/en/home-page-2/", @@ -8560,10 +8560,10 @@ }, { "Name": "Earth Observation Data Cubes for Brazil", - "Description": "Notifications for new EO Data Cubes CBERS scenes", - "ARN": "arn:aws:sns:us-west-2:896627514407:bdc-cbers-object_created", + "Description": "Earth Observation Data Cubes for Brazil - Sentinel 2A/2B", + "ARN": "arn:aws:s3:::bdc-sentinel-2", "Region": "us-west-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "http://brazildatacube.org/en/home-page-2/", "Contact": "brazildatacube@inpe.br", "ManagedBy": "[INPE - Brazil Data Cube](http://brazildatacube.org/)", @@ -8580,18 +8580,20 @@ "stac", "aws-pds" ], - "Explore": null, - "RequesterPays": null, + "Explore": [ + "[BDC STAC V0.9.0 endpoint](https://bdc-sentinel-2.s3.us-west-2.amazonaws.com/catalog.json)" + ], + "RequesterPays": false, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "Earth Observation Data Cubes for Brazil", - "Description": "Earth Observation Data Cubes for Brazil - Sentinel 2A/2B", - "ARN": "arn:aws:s3:::bdc-sentinel-2", + "Description": "Notifications for new EO Data Cubes Sentinel-2 scenes", + "ARN": "arn:aws:sns:us-west-2:896627514407:bdc-sentinel-2-object_created", "Region": "us-west-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "http://brazildatacube.org/en/home-page-2/", "Contact": "brazildatacube@inpe.br", "ManagedBy": "[INPE - Brazil Data Cube](http://brazildatacube.org/)", @@ -8608,10 +8610,8 @@ "stac", "aws-pds" ], - "Explore": [ - "[BDC STAC V0.9.0 endpoint](https://bdc-sentinel-2.s3.us-west-2.amazonaws.com/catalog.json)" - ], - "RequesterPays": false, + "Explore": null, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null @@ -8674,6 +8674,39 @@ "AccountRequired": null, "Host": null }, + { + "Name": "Emory Knee Radiograph (MRKR) dataset", + "Description": "MRKR dataset and tables", + "ARN": "arn:aws:s3:::emory-mrkr-dataset", + "Region": "us-west-2", + "Type": "S3 Bucket", + "Documentation": "https://github.com/Emory-HITI/MRKR", + "Contact": "bprice9@emory.edu, bpri0002@radiology.ufl.edu, hari.trivedi@emory.edu", + "ManagedBy": "Health Innovation and Translational Informatics Lab at Emory University (hitilab.com)", + "UpdateFrequency": "New data is added as soon as it is available.", + "License": "CC-BY-SA", + "Tags": [ + "aws-pds", + "radiology", + "medical imaging", + "medical image computing", + "machine learning", + "computer vision", + "health", + "imaging", + "biology", + "bioinformatics", + "life sciences", + "csv", + "labeled", + "x-ray" + ], + "Explore": null, + "RequesterPays": null, + "ControlledAccess": null, + "AccountRequired": null, + "Host": null + }, { "Name": "Encyclopedia of DNA Elements (ENCODE)", "Description": "Released and archived ENCODE data", @@ -8828,8 +8861,8 @@ }, { "Name": "Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2010 Census Proof of Concept)", - "Description": "2010 Census Production Settings Demographic and Housing Characteristics Approximate Monte Carlo method seed Privacy Protected Microdata File and PPMF replicates", - "ARN": "arn:aws:s3:::uscb-2020-product-releases/decennial/amc/2010/mdf/2010-dhc-mdf-replicates", + "Description": "Census Open Data S3 Inventory", + "ARN": "arn:aws:s3:::uscb-opendata-inventory", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[AMC Replicates README (Updated 8/5/2024)](https://uscb-2020-product-releases.s3.amazonaws.com/decennial/amc/2010/mdf/2010-dhc-mdf-replicates/README.html)", @@ -8870,8 +8903,8 @@ }, { "Name": "Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2010 Census Proof of Concept)", - "Description": "Census Open Data S3 Inventory", - "ARN": "arn:aws:s3:::uscb-opendata-inventory", + "Description": "2010 Census Production Settings Demographic and Housing Characteristics Approximate Monte Carlo method seed Privacy Protected Microdata File and PPMF replicates", + "ARN": "arn:aws:s3:::uscb-2020-product-releases/decennial/amc/2010/mdf/2010-dhc-mdf-replicates", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[AMC Replicates README (Updated 8/5/2024)](https://uscb-2020-product-releases.s3.amazonaws.com/decennial/amc/2010/mdf/2010-dhc-mdf-replicates/README.html)", @@ -8912,8 +8945,8 @@ }, { "Name": "Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2020 Census Production Run)", - "Description": "Census Open Data S3 Inventory", - "ARN": "arn:aws:s3:::uscb-opendata-inventory", + "Description": "2020 Census Production Settings Demographic and Housing Characteristics Approximate Monte Carlo method seed Privacy Protected Microdata File and PPMF replicates", + "ARN": "arn:aws:s3:::uscb-2020-product-releases/decennial/amc/2020/mdf/2020-dhc-mdf-replicates", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[AMC Replicates README (Updated 9/17/2024)](https://uscb-2020-product-releases.s3.amazonaws.com/decennial/amc/2020/mdf/2020-dhc-mdf-replicates/ppmf/README.html)", @@ -8956,8 +8989,8 @@ }, { "Name": "Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2020 Census Production Run)", - "Description": "2020 Census Production Settings Demographic and Housing Characteristics Approximate Monte Carlo method seed Privacy Protected Microdata File and PPMF replicates", - "ARN": "arn:aws:s3:::uscb-2020-product-releases/decennial/amc/2020/mdf/2020-dhc-mdf-replicates", + "Description": "Census Open Data S3 Inventory", + "ARN": "arn:aws:s3:::uscb-opendata-inventory", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[AMC Replicates README (Updated 9/17/2024)](https://uscb-2020-product-releases.s3.amazonaws.com/decennial/amc/2020/mdf/2020-dhc-mdf-replicates/ppmf/README.html)", @@ -9269,8 +9302,8 @@ }, { "Name": "Foldingathome COVID-19 Datasets", - "Description": "Simulations of target proteins and bound small molecules from the COVID Moonshot, documented at the MolSSI COVID Hub", - "ARN": "arn:aws:s3:::fah-public-data-covid19-moonshot-dynamics", + "Description": "Absolute free energy calculations of small molecules from the COVID Moonshot, documented at the MolSSI COVID Hub", + "ARN": "arn:aws:s3:::fah-public-data-covid19-absolute-free-energy", "Region": "us-east-2", "Type": "S3 Bucket", "Documentation": "https://github.com/FoldingAtHome/coronavirus", @@ -9301,8 +9334,8 @@ }, { "Name": "Foldingathome COVID-19 Datasets", - "Description": "Absolute free energy calculations of small molecules from the COVID Moonshot, documented at the MolSSI COVID Hub", - "ARN": "arn:aws:s3:::fah-public-data-covid19-absolute-free-energy", + "Description": "Simulations of SARS-CoV-2 and associated host proteins relevant to neutralization by therapeutic antibodies, documented at the MolSSI COVID Hub", + "ARN": "arn:aws:s3:::fah-public-data-covid19-antibodies", "Region": "us-east-2", "Type": "S3 Bucket", "Documentation": "https://github.com/FoldingAtHome/coronavirus", @@ -9333,8 +9366,8 @@ }, { "Name": "Foldingathome COVID-19 Datasets", - "Description": "Simulations of SARS-CoV-2 and associated host proteins relevant to neutralization by therapeutic antibodies, documented at the MolSSI COVID Hub", - "ARN": "arn:aws:s3:::fah-public-data-covid19-antibodies", + "Description": "Simulations of target proteins and bound small molecules from the COVID Moonshot, documented at the MolSSI COVID Hub", + "ARN": "arn:aws:s3:::fah-public-data-covid19-moonshot-dynamics", "Region": "us-east-2", "Type": "S3 Bucket", "Documentation": "https://github.com/FoldingAtHome/coronavirus", @@ -9671,8 +9704,8 @@ }, { "Name": "Gabriella Miller Kids First Pediatric Research Program (Kids First)", - "Description": "Gabriella Miller Kids First Pediatric Research Program in Pediatric T-cell Acute Lymphoblastic Leukemia", - "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-aq9kvn5p", + "Description": "Gabriella Miller Kids First Pediatric Research Project in Microtia in Hispanic Populations", + "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-dz4gpqx6", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://kidsfirstdrc.org/", @@ -9694,14 +9727,14 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002276.v2.p1", + "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002172.v1.p1", "AccountRequired": null, "Host": null }, { "Name": "Gabriella Miller Kids First Pediatric Research Program (Kids First)", - "Description": "Gabriella Miller Kids First Pediatric Research Project in Microtia in Hispanic Populations", - "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-dz4gpqx6", + "Description": "National Heart, Lung, and Blood Institute (NHLBI) Bench to Bassinet Program: The Gabriella Miller Kids First Pediatric Research Program of the Pediatric Cardiac Genetics Consortium (PCGC)", + "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-preasa7s", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://kidsfirstdrc.org/", @@ -9723,7 +9756,7 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002172.v1.p1", + "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001138.v3.p2", "AccountRequired": null, "Host": null }, @@ -9758,8 +9791,8 @@ }, { "Name": "Gabriella Miller Kids First Pediatric Research Program (Kids First)", - "Description": "Kids First: Pediatric Research Project on the Genomic Analysis of Congenital Diaphragmatic Hernia", - "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-46sk55a3", + "Description": "Gabriella Miller Kids First Pediatric Research Program in Pediatric T-cell Acute Lymphoblastic Leukemia", + "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-aq9kvn5p", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://kidsfirstdrc.org/", @@ -9781,14 +9814,14 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001110.v2.p1", + "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002276.v2.p1", "AccountRequired": null, "Host": null }, { "Name": "Gabriella Miller Kids First Pediatric Research Program (Kids First)", - "Description": "National Heart, Lung, and Blood Institute (NHLBI) Bench to Bassinet Program: The Gabriella Miller Kids First Pediatric Research Program of the Pediatric Cardiac Genetics Consortium (PCGC)", - "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-preasa7s", + "Description": "Gabriella Miller Kids First Pediatric Research Project in Cornelia de Lange Syndrome, Related Diagnosis and Structural Birth Defects", + "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-2cekq05v", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://kidsfirstdrc.org/", @@ -9810,14 +9843,14 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001138.v3.p2", + "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002174.v1.p1", "AccountRequired": null, "Host": null }, { "Name": "Gabriella Miller Kids First Pediatric Research Program (Kids First)", - "Description": "Gabriella Miller Kids First (GMKF) Pediatric Research Program in Susceptibility to Ewing Sarcoma Based on Germline Risk and Familial History of Cancer", - "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-ygva0e1c", + "Description": "Kids First: Structural Defects of The Neural Tube", + "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-15a2mqq9", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://kidsfirstdrc.org/", @@ -9839,14 +9872,14 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001228", + "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002591.v1.p1", "AccountRequired": null, "Host": null }, { "Name": "Gabriella Miller Kids First Pediatric Research Program (Kids First)", - "Description": "Kids First: Genomic Studies of Orofacial Cleft Birth Defects", - "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-9pyzahhe", + "Description": "Children's Brain Tumor Network", + "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-bhjxbdqk", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://kidsfirstdrc.org/", @@ -9868,14 +9901,14 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001168.v2.p2", + "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002517.v1.p1", "AccountRequired": null, "Host": null }, { "Name": "Gabriella Miller Kids First Pediatric Research Program (Kids First)", - "Description": "GMKF: Kids First Pediatric Research Program on Congenital Cranial Dysinnervation Disorders and Related Birth Defects", - "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-dztb5hrr", + "Description": "Gabriella Miller Kids First Pediatric Research Program in Bladder Exstrophy, Epispadias, Complex (BEEC)", + "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-z0d9n23x", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://kidsfirstdrc.org/", @@ -9897,14 +9930,14 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001247.v1.p1", + "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002173.v1.p1", "AccountRequired": null, "Host": null }, { "Name": "Gabriella Miller Kids First Pediatric Research Program (Kids First)", - "Description": "The Collaboration to Assess Risk and Identify LoNG-term outcomes for Children with COVID (CARING for Children with COVID) - 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"Description": "Disorders/Differences of Sex Development (DSD) Study Performed at UCLA in Collaboration with the DSD-Translational Research Network (DSD-TRN), with the Support of the Gabriella Miller Kids First Pediatric Research Program", - "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-6fpyjqbr", + "Description": "Kids First Pediatric Research Study in Familial Predisposition to Hematopoietic Malignancies (SJFAMILY-HM)", + "ARN": "arn:aws:s3:::kf-study-us-east-1-prd-sd-vttshwv4", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://kidsfirstdrc.org/", @@ -10564,7 +10597,7 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001178.v1.p1", + "ControlledAccess": "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001738.v1.p1", "AccountRequired": null, "Host": null }, @@ -10779,10 +10812,10 @@ }, { "Name": "Global 30m Height Above Nearest Drainage (HAND)", - "Description": "Notifications for new data", - "ARN": "arn:aws:sns:us-west-2:879002409890:glo-30-hand-object_created", + "Description": "GLO-30 HAND S3 bucket", + "ARN": "arn:aws:s3:::glo-30-hand", "Region": "us-west-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://glo-30-hand.s3.us-west-2.amazonaws.com/readme.html", "Contact": "https://asf.alaska.edu/asf/contact-us/", "ManagedBy": "[The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/)", @@ -10799,7 +10832,10 @@ "cog", "stac" ], - "Explore": null, + "Explore": [ + "[STAC V1.0.0 endpoint](https://stac.asf.alaska.edu/collections/glo-30-hand)", + "[Via STAC Browser](https://radiantearth.github.io/stac-browser/#/external/stac.asf.alaska.edu/collections/glo-30-hand)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -10807,10 +10843,10 @@ }, { "Name": "Global 30m Height Above Nearest Drainage (HAND)", - "Description": "GLO-30 HAND S3 bucket", - "ARN": "arn:aws:s3:::glo-30-hand", + "Description": "Notifications for new data", + "ARN": "arn:aws:sns:us-west-2:879002409890:glo-30-hand-object_created", "Region": "us-west-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://glo-30-hand.s3.us-west-2.amazonaws.com/readme.html", "Contact": "https://asf.alaska.edu/asf/contact-us/", "ManagedBy": "[The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/)", @@ -10827,10 +10863,7 @@ "cog", "stac" ], - "Explore": [ - "[STAC V1.0.0 endpoint](https://stac.asf.alaska.edu/collections/glo-30-hand)", - "[Via STAC Browser](https://radiantearth.github.io/stac-browser/#/external/stac.asf.alaska.edu/collections/glo-30-hand)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -10863,9 +10896,9 @@ }, { "Name": "Global Biodiversity Information Facility (GBIF) Species Occurrences", - "Description": "GBIF species occurrence data in Parquet format (af-south-1 region)", - "ARN": "arn:aws:s3:::gbif-open-data-af-south-1", - "Region": "af-south-1", + "Description": "GBIF species occurrence data in Parquet format (sa-east-1 region)", + "ARN": "arn:aws:s3:::gbif-open-data-sa-east-1", + "Region": "sa-east-1", "Type": "S3 Bucket", "Documentation": "Documentation can be found [here](https://github.com/gbif/occurrence/blob/master/aws-public-data.md). You can learn more about GBIF [here](https://www.gbif.org).", "Contact": "helpdesk@gbif.org", @@ -10881,7 +10914,7 @@ "life sciences" ], "Explore": [ - "[Browse bucket](https://gbif-open-data-af-south-1.s3.af-south-1.amazonaws.com/index.html)" + "[Browse bucket](https://gbif-open-data-sa-east-1.s3.sa-east-1.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -10891,9 +10924,9 @@ { "Name": "Global Biodiversity Information Facility (GBIF) Species Occurrences", "Description": "GBIF species occurrence data in Parquet format (ap-southeast-2 region)", - "ARN": "arn:aws:s3:::gbif-open-data-ap-southeast-2", + "ARN": "arn:aws:sns:af-south-1:288719126026:gbif-open-data-ap-southeast-2-object_created", "Region": "ap-southeast-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "Documentation can be found [here](https://github.com/gbif/occurrence/blob/master/aws-public-data.md). You can learn more about GBIF [here](https://www.gbif.org).", "Contact": "helpdesk@gbif.org", "ManagedBy": "The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org))", @@ -10907,9 +10940,7 @@ "conservation", "life sciences" ], - "Explore": [ - "[Browse bucket](https://gbif-open-data-ap-southeast-2.s3.ap-southeast-2.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -10917,9 +10948,9 @@ }, { "Name": "Global Biodiversity Information Facility (GBIF) Species Occurrences", - "Description": "GBIF species occurrence data in Parquet format (us-east-1 region)", - "ARN": "arn:aws:sns:af-south-1:288719126026:gbif-open-data-us-east-1-object_created", - "Region": "us-east-1", + "Description": "GBIF species occurrence data in Parquet format (sa-east-1 region)", + "ARN": "arn:aws:sns:af-south-1:288719126026:gbif-open-data-sa-east-1-object_created", + "Region": "sa-east-1", "Type": "SNS Topic", "Documentation": "Documentation can be found [here](https://github.com/gbif/occurrence/blob/master/aws-public-data.md). You can learn more about GBIF [here](https://www.gbif.org).", "Contact": "helpdesk@gbif.org", @@ -10942,9 +10973,9 @@ }, { "Name": "Global Biodiversity Information Facility (GBIF) Species Occurrences", - "Description": "GBIF species occurrence data in Parquet format (eu-central-1 region)", - "ARN": "arn:aws:s3:::gbif-open-data-eu-central-1", - "Region": "eu-central-1", + "Description": "GBIF species occurrence data in Parquet format (us-east-1 region)", + "ARN": "arn:aws:s3:::gbif-open-data-us-east-1", + "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "Documentation can be found [here](https://github.com/gbif/occurrence/blob/master/aws-public-data.md). You can learn more about GBIF [here](https://www.gbif.org).", "Contact": "helpdesk@gbif.org", @@ -10960,7 +10991,7 @@ "life sciences" ], "Explore": [ - "[Browse bucket](https://gbif-open-data-eu-central-1.s3.eu-central-1.amazonaws.com/index.html)" + "[Browse bucket](https://gbif-open-data-us-east-1.s3.us-east-1.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -10969,10 +11000,10 @@ }, { "Name": "Global Biodiversity Information Facility (GBIF) Species Occurrences", - "Description": "GBIF species occurrence data in Parquet format (sa-east-1 region)", - "ARN": "arn:aws:s3:::gbif-open-data-sa-east-1", - "Region": "sa-east-1", - "Type": "S3 Bucket", + "Description": "GBIF species occurrence data in Parquet format (us-east-1 region)", + "ARN": "arn:aws:sns:af-south-1:288719126026:gbif-open-data-us-east-1-object_created", + "Region": "us-east-1", + "Type": "SNS Topic", "Documentation": "Documentation can be found [here](https://github.com/gbif/occurrence/blob/master/aws-public-data.md). You can learn more about GBIF [here](https://www.gbif.org).", "Contact": "helpdesk@gbif.org", "ManagedBy": "The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org))", @@ -10986,9 +11017,7 @@ "conservation", "life sciences" ], - "Explore": [ - "[Browse bucket](https://gbif-open-data-sa-east-1.s3.sa-east-1.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -10996,10 +11025,10 @@ }, { "Name": "Global Biodiversity Information Facility (GBIF) Species Occurrences", - "Description": "GBIF species occurrence data in Parquet format (us-east-1 region)", - "ARN": "arn:aws:s3:::gbif-open-data-us-east-1", - "Region": "us-east-1", - "Type": "S3 Bucket", + "Description": "GBIF species occurrence data in Parquet format (eu-central-1 region)", + "ARN": "arn:aws:sns:af-south-1:288719126026:gbif-open-data-eu-central-1-object_created", + "Region": "eu-central-1", + "Type": "SNS Topic", "Documentation": "Documentation can be found [here](https://github.com/gbif/occurrence/blob/master/aws-public-data.md). You can learn more about GBIF [here](https://www.gbif.org).", "Contact": "helpdesk@gbif.org", "ManagedBy": "The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org))", @@ -11013,9 +11042,7 @@ "conservation", "life sciences" ], - "Explore": [ - "[Browse bucket](https://gbif-open-data-us-east-1.s3.us-east-1.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -11024,9 +11051,9 @@ { "Name": "Global Biodiversity Information Facility (GBIF) Species Occurrences", "Description": "GBIF species occurrence data in Parquet format (ap-southeast-2 region)", - "ARN": "arn:aws:sns:af-south-1:288719126026:gbif-open-data-ap-southeast-2-object_created", + "ARN": "arn:aws:s3:::gbif-open-data-ap-southeast-2", "Region": "ap-southeast-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "Documentation can be found [here](https://github.com/gbif/occurrence/blob/master/aws-public-data.md). You can learn more about GBIF [here](https://www.gbif.org).", "Contact": "helpdesk@gbif.org", "ManagedBy": "The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org))", @@ -11040,7 +11067,9 @@ "conservation", "life sciences" ], - "Explore": null, + "Explore": [ + "[Browse bucket](https://gbif-open-data-ap-southeast-2.s3.ap-southeast-2.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -11048,10 +11077,10 @@ }, { "Name": "Global Biodiversity Information Facility (GBIF) Species Occurrences", - "Description": "GBIF species occurrence data in Parquet format (eu-central-1 region)", - "ARN": "arn:aws:sns:af-south-1:288719126026:gbif-open-data-eu-central-1-object_created", - "Region": "eu-central-1", - "Type": "SNS Topic", + "Description": "GBIF species occurrence data in Parquet format (af-south-1 region)", + "ARN": "arn:aws:s3:::gbif-open-data-af-south-1", + "Region": "af-south-1", + "Type": "S3 Bucket", "Documentation": "Documentation can be found [here](https://github.com/gbif/occurrence/blob/master/aws-public-data.md). You can learn more about GBIF [here](https://www.gbif.org).", "Contact": "helpdesk@gbif.org", "ManagedBy": "The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org))", @@ -11065,7 +11094,9 @@ "conservation", "life sciences" ], - "Explore": null, + "Explore": [ + "[Browse bucket](https://gbif-open-data-af-south-1.s3.af-south-1.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -11073,10 +11104,10 @@ }, { "Name": "Global Biodiversity Information Facility (GBIF) Species Occurrences", - "Description": "GBIF species occurrence data in Parquet format (sa-east-1 region)", - "ARN": "arn:aws:sns:af-south-1:288719126026:gbif-open-data-sa-east-1-object_created", - "Region": "sa-east-1", - "Type": "SNS Topic", + "Description": "GBIF species occurrence data in Parquet format (eu-central-1 region)", + "ARN": "arn:aws:s3:::gbif-open-data-eu-central-1", + "Region": "eu-central-1", + "Type": "S3 Bucket", "Documentation": "Documentation can be found [here](https://github.com/gbif/occurrence/blob/master/aws-public-data.md). You can learn more about GBIF [here](https://www.gbif.org).", "Contact": "helpdesk@gbif.org", "ManagedBy": "The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org))", @@ -11090,7 +11121,9 @@ "conservation", "life sciences" ], - "Explore": null, + "Explore": [ + "[Browse bucket](https://gbif-open-data-eu-central-1.s3.eu-central-1.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -11164,8 +11197,8 @@ }, { "Name": "Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set", - "Description": "1x1 degree tiled data and metadata in a S3 bucket, Global VRT mosaics (vrt", - "ARN": "arn:aws:s3:::sentinel-1-global-coherence-earthbigdata/data/tiles", + "Description": "Global mosaics at 001 degree pixel spacing as cloud optimized GeoTIFFs in a S3 bucket", + "ARN": "arn:aws:s3:::sentinel-1-global-coherence-earthbigdata/data/mosaics", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "http://sentinel-1-global-coherence-earthbigdata.s3-website-us-west-2.amazonaws.com/", @@ -11200,8 +11233,8 @@ }, { "Name": "Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set", - "Description": "Global mosaics at 001 degree pixel spacing as cloud optimized GeoTIFFs in a S3 bucket", - "ARN": "arn:aws:s3:::sentinel-1-global-coherence-earthbigdata/data/mosaics", + "Description": "1x1 degree tiled data and metadata in a S3 bucket, Global VRT mosaics (vrt", + "ARN": "arn:aws:s3:::sentinel-1-global-coherence-earthbigdata/data/tiles", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "http://sentinel-1-global-coherence-earthbigdata.s3-website-us-west-2.amazonaws.com/", @@ -11661,8 +11694,8 @@ }, { "Name": "High Resolution Canopy Height Maps by WRI and Meta", - "Description": "Sub Saharan Africa Height maps GeoTIFF files and Geojson files with observation date", - "ARN": "arn:aws:s3:::dataforgood-fb-data/forests/v1/subsaharan_africa/", + "Description": "Sao Paulo Canopy Height maps GeoTIFF files and Geojson files with observation date", + "ARN": "arn:aws:s3:::dataforgood-fb-data/forests/v1/sao_paulo/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://github.com/facebookresearch/HighResCanopyHeight", @@ -11691,8 +11724,8 @@ }, { "Name": "High Resolution Canopy Height Maps by WRI and Meta", - "Description": "Global Canopy Height maps GeoTIFF files and Geojson files with observation date", - "ARN": "arn:aws:s3:::dataforgood-fb-data/forests/v1/alsgedi_global_v6_float/", + "Description": "Sub Saharan Africa Height maps GeoTIFF files and Geojson files with observation date", + "ARN": "arn:aws:s3:::dataforgood-fb-data/forests/v1/subsaharan_africa/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://github.com/facebookresearch/HighResCanopyHeight", @@ -11721,8 +11754,8 @@ }, { "Name": "High Resolution Canopy Height Maps by WRI and Meta", - "Description": "California Canopy Height maps GeoTIFF files and Geojson files with observation date", - "ARN": "arn:aws:s3:::dataforgood-fb-data/forests/v1/California/", + "Description": "Model weights", + "ARN": "arn:aws:s3:::dataforgood-fb-data/forests/v1/models/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://github.com/facebookresearch/HighResCanopyHeight", @@ -11751,8 +11784,8 @@ }, { "Name": "High Resolution Canopy Height Maps by WRI and Meta", - "Description": "Sao Paulo Canopy Height maps GeoTIFF files and Geojson files with observation date", - "ARN": "arn:aws:s3:::dataforgood-fb-data/forests/v1/sao_paulo/", + "Description": "California Canopy Height maps GeoTIFF files and Geojson files with observation date", + "ARN": "arn:aws:s3:::dataforgood-fb-data/forests/v1/California/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://github.com/facebookresearch/HighResCanopyHeight", @@ -11781,8 +11814,8 @@ }, { "Name": "High Resolution Canopy Height Maps by WRI and Meta", - "Description": "Model weights", - "ARN": "arn:aws:s3:::dataforgood-fb-data/forests/v1/models/", + "Description": "Global Canopy Height maps GeoTIFF files and Geojson files with observation date", + "ARN": "arn:aws:s3:::dataforgood-fb-data/forests/v1/alsgedi_global_v6_float/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://github.com/facebookresearch/HighResCanopyHeight", @@ -12553,10 +12586,10 @@ }, { "Name": "Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE)", - "Description": "Notifications for new data", - "ARN": "arn:aws:sns:us-west-2:367587189974:its-live-data-object_created", + "Description": "ITS_LIVE Data S3 Bucket", + "ARN": "arn:aws:s3:::its-live-data", "Region": "us-west-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://its-live-data.s3.us-west-2.amazonaws.com/README.html", "Contact": "If you have questions about the data itself or the processing methods used, please post in the [ITS_LIVE Community gitter](https://app.gitter.im/#/room/#its_live_community:gitter.im).If you have questions about how the data is managed on AWS, please email the [ASF Tools Team](mailto:uaf-asf-apd@alaska.edu).", "ManagedBy": "[The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/)", @@ -12575,7 +12608,9 @@ "zarr", "stac" ], - "Explore": null, + "Explore": [ + "[Browse Bucket](https://its-live-data.s3.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -12583,10 +12618,10 @@ }, { "Name": "Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE)", - "Description": "ITS_LIVE Data S3 Bucket", - "ARN": "arn:aws:s3:::its-live-data", + "Description": "Notifications for new data", + "ARN": "arn:aws:sns:us-west-2:367587189974:its-live-data-object_created", "Region": "us-west-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://its-live-data.s3.us-west-2.amazonaws.com/README.html", "Contact": "If you have questions about the data itself or the processing methods used, please post in the [ITS_LIVE Community gitter](https://app.gitter.im/#/room/#its_live_community:gitter.im).If you have questions about how the data is managed on AWS, please email the [ASF Tools Team](mailto:uaf-asf-apd@alaska.edu).", "ManagedBy": "[The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/)", @@ -12605,9 +12640,7 @@ "zarr", "stac" ], - "Explore": [ - "[Browse Bucket](https://its-live-data.s3.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -12667,8 +12700,8 @@ }, { "Name": "JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Observations", - "Description": "Scenes and metadata for stereoscopic observing mode", - "ARN": "arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/stereoscopic/uncontrolled/", + "Description": "Scenes and metadata for monoscopic observing mode", + "ARN": "arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/monoscopic/uncontrolled/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://stac.astrogeology.usgs.gov/docs/data/moon/kaguyatc/", @@ -12684,7 +12717,7 @@ "cog" ], "Explore": [ - "[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_stereoscopic_uncontrolled_observations)" + "[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_monoscopic_uncontrolled_observations)" ], "RequesterPays": null, "ControlledAccess": null, @@ -12693,8 +12726,8 @@ }, { "Name": "JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Observations", - "Description": "Scenes and metadata for monoscopic observing mode", - "ARN": "arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/monoscopic/uncontrolled/", + "Description": "Scenes and metadata for spectral profiler (spsupport) observing mode", + "ARN": "arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/spsupport/uncontrolled/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://stac.astrogeology.usgs.gov/docs/data/moon/kaguyatc/", @@ -12710,7 +12743,7 @@ "cog" ], "Explore": [ - "[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_monoscopic_uncontrolled_observations)" + "[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_spsupport_uncontrolled_observations)" ], "RequesterPays": null, "ControlledAccess": null, @@ -12719,8 +12752,8 @@ }, { "Name": "JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Observations", - "Description": "Scenes and metadata for spectral profiler (spsupport) observing mode", - "ARN": "arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/spsupport/uncontrolled/", + "Description": "Scenes and metadata for stereoscopic observing mode", + "ARN": "arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/stereoscopic/uncontrolled/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://stac.astrogeology.usgs.gov/docs/data/moon/kaguyatc/", @@ -12736,7 +12769,7 @@ "cog" ], "Explore": [ - "[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_spsupport_uncontrolled_observations)" + "[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_stereoscopic_uncontrolled_observations)" ], "RequesterPays": null, "ControlledAccess": null, @@ -12745,8 +12778,8 @@ }, { "Name": "JMA Himawari-8/9", - "Description": "New data notifications for Himawari-9, only Lambda and SQS protocols allowed", - "ARN": "arn:aws:sns:us-east-1:123901341784:NewHimawariNineObject", + "Description": "New data notifications for Himawari-8, only Lambda and SQS protocols allowed", + "ARN": "arn:aws:sns:us-east-1:123901341784:NewHimawari8Object", "Region": "us-east-1", "Type": "SNS Topic", "Documentation": "https://www.data.jma.go.jp/mscweb/en/himawari89/cloud_service/cloud_service.html https://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/spsg_ahi.html", @@ -12801,10 +12834,10 @@ }, { "Name": "JMA Himawari-8/9", - "Description": "New data notifications for Himawari-8, only Lambda and SQS protocols allowed", - "ARN": "arn:aws:sns:us-east-1:123901341784:NewHimawari8Object", + "Description": "Himawari-8 Imagery", + "ARN": "arn:aws:s3:::noaa-himawari8", "Region": "us-east-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://www.data.jma.go.jp/mscweb/en/himawari89/cloud_service/cloud_service.html https://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/spsg_ahi.html", "Contact": "For any questions regarding data delivery or any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@noaa.gov.
We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NODD team by emailing nodd@noaa.gov", "ManagedBy": "[NOAA](http://www.noaa.gov/)", @@ -12820,7 +12853,9 @@ "disaster response", "satellite imagery" ], - "Explore": null, + "Explore": [ + "[Browse Bucket](https://noaa-himawari8.s3.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -12828,10 +12863,10 @@ }, { "Name": "JMA Himawari-8/9", - "Description": "Himawari-8 Imagery", - "ARN": "arn:aws:s3:::noaa-himawari8", + "Description": "New data notifications for Himawari-9, only Lambda and SQS protocols allowed", + "ARN": "arn:aws:sns:us-east-1:123901341784:NewHimawariNineObject", "Region": "us-east-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://www.data.jma.go.jp/mscweb/en/himawari89/cloud_service/cloud_service.html https://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/spsg_ahi.html", "Contact": "For any questions regarding data delivery or any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@noaa.gov.
We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NODD team by emailing nodd@noaa.gov", "ManagedBy": "[NOAA](http://www.noaa.gov/)", @@ -12847,9 +12882,7 @@ "disaster response", "satellite imagery" ], - "Explore": [ - "[Browse Bucket](https://noaa-himawari8.s3.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -13071,8 +13104,8 @@ }, { "Name": "KyFromAbove on AWS", - "Description": "LiDAR-derived digital elevation models (DEM) for the Commonwealth of Kentucky organized in a 5000x5000 foot grid There are currently three data resources in this folder - 1) Phase 1 LiDAR-derived DEMs at a 5 foot resolution, 2) Phase 2 LiDAR-derived DEMs at a 2 foot resolution, and 3) Phase 3 LiDAR-derived DEMs at a 2 foot resolution All data has been converted to a Cloud Optimized GeoTIFF (COG) format Phase 2 and Phase 3 efforts have not achieved Statewide coverage to date", - "ARN": "arn:aws:s3:::kyfromabove/elevation/DEM/", + "Description": "KyFromAbove oblique imagery can be found in this folder The four oblique views associated with each ortho image are provided in a 3-band (RGB) Cloud Optimized GeoTiff format using the default 512x512 tile setting There are no oblique images available for Phase 1 and 2 Phase 3 data is being provided upon completion of each acquisition area of interest It is organized by year and season (where Season1 = Spring and Season2 = Fall) as imagery is being acquired during the fall and spring leaf-off seasons as sun angle and weather conditions permit", + "ARN": "arn:aws:s3:::kyfromabove/imagery/obliques/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove", @@ -13089,7 +13122,7 @@ "elevation" ], "Explore": [ - "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/DEM/)" + "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#imagery/obliques/)" ], "RequesterPays": false, "ControlledAccess": null, @@ -13098,8 +13131,8 @@ }, { "Name": "KyFromAbove on AWS", - "Description": "There are three data resources in this folder - 1) KyTopo Map Series quadrangles in a Cloud Optimized GeoTIFF (COG) format, 2) KyTopo Map Series quadrangles with all collar information in a non-georeferenced PNG format for printing on a standard ARCH-D sized sheet, and 3) the KyTopo Map Series quadrangles tile grid in a geopackage format The COGs were created using GDAL with JPEG compression at a 90% quality setting and the default 512x512 tile setting", - "ARN": "arn:aws:s3:::kyfromabove/elevation/KyTopoMapSeries/", + "Description": "Elevation and imagery data resources for the Commonwealth of Kentucky are organized in this bucket Elevation data is available in Cloud Optimized GeoTIFF (COG) and Geopackage formats depending on the data type Imagery data is also available in Cloud Optimized GeoTIFF (COG)format A Cloud Optimized GeoTIFF (COG) is a GeoTIFF file optimized for hosting on a HTTP file server COG has an internal organization that enables more efficient workflows on the cloud by supporting HTTP GET range requests, where just parts of a file are requested and returned", + "ARN": "arn:aws:s3:::kyfromabove", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove", @@ -13116,7 +13149,7 @@ "elevation" ], "Explore": [ - "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/KyTopoMapSeries/)" + "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html)" ], "RequesterPays": false, "ControlledAccess": null, @@ -13179,8 +13212,8 @@ }, { "Name": "KyFromAbove on AWS", - "Description": "Elevation and imagery data resources for the Commonwealth of Kentucky are organized in this bucket Elevation data is available in Cloud Optimized GeoTIFF (COG) and Geopackage formats depending on the data type Imagery data is also available in Cloud Optimized GeoTIFF (COG)format A Cloud Optimized GeoTIFF (COG) is a GeoTIFF file optimized for hosting on a HTTP file server COG has an internal organization that enables more efficient workflows on the cloud by supporting HTTP GET range requests, where just parts of a file are requested and returned", - "ARN": "arn:aws:s3:::kyfromabove", + "Description": "Topographic contours created from the KyFromAbove Phase 1 LiDAR-derived digital elevation model (DEM) in a geopackage and Esri file geodatabase format There are four data resources in this folder - 1) KyTopo contours at a 10-foot interval primarily for Western and Central Kentucky, 2) KyTopo contours at a 20-foot interval primarily for Central and Eastern Kentucky, 3) KyTopo contours at a 40-foot interval for Eastern Kentucky, and 4) KyTopo contours at a 5-foot interval for the entire Commonwealth", + "ARN": "arn:aws:s3:::kyfromabove/elevation/Contours/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove", @@ -13197,7 +13230,7 @@ "elevation" ], "Explore": [ - "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html)" + "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/Contours/)" ], "RequesterPays": false, "ControlledAccess": null, @@ -13206,8 +13239,8 @@ }, { "Name": "KyFromAbove on AWS", - "Description": "The data in this bucket includes spot elevations for the entire Commonwealth of Kentucky generated from the KyFromAbove Phase 1 LiDAR-derived digital elevation model (DEM) in a geopackage format ArcGIS was used to create this dataset Spot elevations for Phase 2 and Phase 3 will be generated upon completion of each Phase", - "ARN": "arn:aws:s3:::kyfromabove/elevation/SpotElevations/", + "Description": "LiDAR-derived digital elevation models (DEM) for the Commonwealth of Kentucky organized in a 5000x5000 foot grid There are currently three data resources in this folder - 1) Phase 1 LiDAR-derived DEMs at a 5 foot resolution, 2) Phase 2 LiDAR-derived DEMs at a 2 foot resolution, and 3) Phase 3 LiDAR-derived DEMs at a 2 foot resolution All data has been converted to a Cloud Optimized GeoTIFF (COG) format Phase 2 and Phase 3 efforts have not achieved Statewide coverage to date", + "ARN": "arn:aws:s3:::kyfromabove/elevation/DEM/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove", @@ -13224,7 +13257,7 @@ "elevation" ], "Explore": [ - "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/SpotElevations/)" + "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/DEM/)" ], "RequesterPays": false, "ControlledAccess": null, @@ -13233,8 +13266,8 @@ }, { "Name": "KyFromAbove on AWS", - "Description": "LiDAR-derived Point Cloud tiles for the Commonwealth of Kentucky organized in a 5000x5000 foot grid There is currently one data resource in this folder - 1) Phase 1 LiDAR-derived point clouds in LAZ format Phase 2 and Phase 3 efforts have not achieved Statewide coverage to date It is our aim to provide Phase 2 and Phase 3 data in a COPC (LAZ format)", - "ARN": "arn:aws:s3:::kyfromabove/elevation/PointCloud/", + "Description": "There are three data resources in this folder - 1) KyTopo Map Series quadrangles in a Cloud Optimized GeoTIFF (COG) format, 2) KyTopo Map Series quadrangles with all collar information in a non-georeferenced PNG format for printing on a standard ARCH-D sized sheet, and 3) the KyTopo Map Series quadrangles tile grid in a geopackage format The COGs were created using GDAL with JPEG compression at a 90% quality setting and the default 512x512 tile setting", + "ARN": "arn:aws:s3:::kyfromabove/elevation/KyTopoMapSeries/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove", @@ -13251,7 +13284,7 @@ "elevation" ], "Explore": [ - "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/PointCloud/)" + "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/KyTopoMapSeries/)" ], "RequesterPays": false, "ControlledAccess": null, @@ -13260,8 +13293,8 @@ }, { "Name": "KyFromAbove on AWS", - "Description": "Topographic contours created from the KyFromAbove Phase 1 LiDAR-derived digital elevation model (DEM) in a geopackage and Esri file geodatabase format There are four data resources in this folder - 1) KyTopo contours at a 10-foot interval primarily for Western and Central Kentucky, 2) KyTopo contours at a 20-foot interval primarily for Central and Eastern Kentucky, 3) KyTopo contours at a 40-foot interval for Eastern Kentucky, and 4) KyTopo contours at a 5-foot interval for the entire Commonwealth", - "ARN": "arn:aws:s3:::kyfromabove/elevation/Contours/", + "Description": "KyFromAbove ortho imagery for the Commonwealth of Kentucky organized in a 5000x5000 foot grid Each image tile has been converted to a Cloud Optimized GeoTiff format Phase 1 and 2 data is organized by acquisition year and is currently available for use Phase 3 will be provided upon completion of the project and will be organized by year and season, imagery is being acquired during the fall and spring leaf-off seasons as sun angle permits", + "ARN": "arn:aws:s3:::kyfromabove/imagery/orthos/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove", @@ -13278,7 +13311,7 @@ "elevation" ], "Explore": [ - "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/Contours/)" + "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#imagery/orthos/)" ], "RequesterPays": false, "ControlledAccess": null, @@ -13287,8 +13320,8 @@ }, { "Name": "KyFromAbove on AWS", - "Description": "KyFromAbove oblique imagery can be found in this folder The four oblique views associated with each ortho image are provided in a 3-band (RGB) Cloud Optimized GeoTiff format using the default 512x512 tile setting There are no oblique images available for Phase 1 and 2 Phase 3 data is being provided upon completion of each acquisition area of interest It is organized by year and season (where Season1 = Spring and Season2 = Fall) as imagery is being acquired during the fall and spring leaf-off seasons as sun angle and weather conditions permit", - "ARN": "arn:aws:s3:::kyfromabove/imagery/obliques/", + "Description": "The data in this bucket includes spot elevations for the entire Commonwealth of Kentucky generated from the KyFromAbove Phase 1 LiDAR-derived digital elevation model (DEM) in a geopackage format ArcGIS was used to create this dataset Spot elevations for Phase 2 and Phase 3 will be generated upon completion of each Phase", + "ARN": "arn:aws:s3:::kyfromabove/elevation/SpotElevations/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove", @@ -13305,7 +13338,7 @@ "elevation" ], "Explore": [ - "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#imagery/obliques/)" + "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/SpotElevations/)" ], "RequesterPays": false, "ControlledAccess": null, @@ -13314,8 +13347,8 @@ }, { "Name": "KyFromAbove on AWS", - "Description": "KyFromAbove ortho imagery for the Commonwealth of Kentucky organized in a 5000x5000 foot grid Each image tile has been converted to a Cloud Optimized GeoTiff format Phase 1 and 2 data is organized by acquisition year and is currently available for use Phase 3 will be provided upon completion of the project and will be organized by year and season, imagery is being acquired during the fall and spring leaf-off seasons as sun angle permits", - "ARN": "arn:aws:s3:::kyfromabove/imagery/orthos/", + "Description": "LiDAR-derived Point Cloud tiles for the Commonwealth of Kentucky organized in a 5000x5000 foot grid There is currently one data resource in this folder - 1) Phase 1 LiDAR-derived point clouds in LAZ format Phase 2 and Phase 3 efforts have not achieved Statewide coverage to date It is our aim to provide Phase 2 and Phase 3 data in a COPC (LAZ format)", + "ARN": "arn:aws:s3:::kyfromabove/elevation/PointCloud/", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove", @@ -13332,7 +13365,7 @@ "elevation" ], "Explore": [ - "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#imagery/orthos/)" + "[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/PointCloud/)" ], "RequesterPays": false, "ControlledAccess": null, @@ -13534,8 +13567,8 @@ }, { "Name": "MAN TruckScenes", - "Description": "MAN TruckScenes trainval", - "ARN": "arn:aws:s3:::man-truckscenes/release/trainval/", + "Description": "MAN TruckScenes mini", + "ARN": "arn:aws:s3:::man-truckscenes/release/mini/", "Region": "eu-central-1", "Type": "S3 Bucket", "Documentation": "https://www.man.eu/truckscenes", @@ -13567,8 +13600,8 @@ }, { "Name": "MAN TruckScenes", - "Description": "MAN TruckScenes mini", - "ARN": "arn:aws:s3:::man-truckscenes/release/mini/", + "Description": "MAN TruckScenes trainval", + "ARN": "arn:aws:s3:::man-truckscenes/release/trainval/", "Region": "eu-central-1", "Type": "S3 Bucket", "Documentation": "https://www.man.eu/truckscenes", @@ -13698,10 +13731,10 @@ }, { "Name": "MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4", - "Description": "S3 Inventory files for MOD11A1", - "ARN": "arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MOD11A1", + "Description": "New data notifications", + "ARN": "arn:aws:sns:us-west-2:791757209086:astraea-opendata-events", "Region": "us-west-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "Documentation is available for this data at the [s22s/astraea-opendata GitHub repository](https://github.com/s22s/astraea-opendata) maintained by Astraea.", "Contact": "https://astraea.earth/", "ManagedBy": "[Astraea](https://astraea.earth/)", @@ -13716,15 +13749,15 @@ "disaster response" ], "Explore": null, - "RequesterPays": true, + "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4", - "Description": "S3 Inventory files for MYD13A1", - "ARN": "arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MYD13A1", + "Description": "S3 Inventory files for MOD13A1", + "ARN": "arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MOD13A1", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "Documentation is available for this data at the [s22s/astraea-opendata GitHub repository](https://github.com/s22s/astraea-opendata) maintained by Astraea.", @@ -13748,8 +13781,8 @@ }, { "Name": "MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4", - "Description": "S3 Inventory files for MOD13A1", - "ARN": "arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MOD13A1", + "Description": "S3 Inventory files for MYD11A1", + "ARN": "arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MYD11A1", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "Documentation is available for this data at the [s22s/astraea-opendata GitHub repository](https://github.com/s22s/astraea-opendata) maintained by Astraea.", @@ -13773,8 +13806,8 @@ }, { "Name": "MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4", - "Description": "S3 Inventory files for MYD11A1", - "ARN": "arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MYD11A1", + "Description": "S3 Inventory files for MOD11A1", + "ARN": "arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MOD11A1", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "Documentation is available for this data at the [s22s/astraea-opendata GitHub repository](https://github.com/s22s/astraea-opendata) maintained by Astraea.", @@ -13823,10 +13856,10 @@ }, { "Name": "MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4", - "Description": "New data notifications", - "ARN": "arn:aws:sns:us-west-2:791757209086:astraea-opendata-events", + "Description": "Imagery and metadata", + "ARN": "arn:aws:s3:::astraea-opendata", "Region": "us-west-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "Documentation is available for this data at the [s22s/astraea-opendata GitHub repository](https://github.com/s22s/astraea-opendata) maintained by Astraea.", "Contact": "https://astraea.earth/", "ManagedBy": "[Astraea](https://astraea.earth/)", @@ -13841,15 +13874,15 @@ "disaster response" ], "Explore": null, - "RequesterPays": null, + "RequesterPays": true, "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4", - "Description": "Imagery and metadata", - "ARN": "arn:aws:s3:::astraea-opendata", + "Description": "S3 Inventory files for MYD13A1", + "ARN": "arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MYD13A1", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "Documentation is available for this data at the [s22s/astraea-opendata GitHub repository](https://github.com/s22s/astraea-opendata) maintained by Astraea.", @@ -13981,8 +14014,8 @@ }, { "Name": "Materials Project Data", - "Description": "Parsed Data", - "ARN": "arn:aws:s3:::materialsproject-parsed", + "Description": "Raw Data", + "ARN": "arn:aws:s3:::materialsproject-raw", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://docs.materialsproject.org", @@ -14014,9 +14047,7 @@ "post-processing", "x-ray crystallography" ], - "Explore": [ - "[Browse Bucket](https://materialsproject-parsed.s3.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -14024,8 +14055,8 @@ }, { "Name": "Materials Project Data", - "Description": "Build Data", - "ARN": "arn:aws:s3:::materialsproject-build", + "Description": "Parsed Data", + "ARN": "arn:aws:s3:::materialsproject-parsed", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://docs.materialsproject.org", @@ -14058,7 +14089,7 @@ "x-ray crystallography" ], "Explore": [ - "[Browse Bucket](https://materialsproject-build.s3.amazonaws.com/index.html)" + "[Browse Bucket](https://materialsproject-parsed.s3.amazonaws.com/index.html)" ], "RequesterPays": null, "ControlledAccess": null, @@ -14067,8 +14098,8 @@ }, { "Name": "Materials Project Data", - "Description": "Raw Data", - "ARN": "arn:aws:s3:::materialsproject-raw", + "Description": "Build Data", + "ARN": "arn:aws:s3:::materialsproject-build", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://docs.materialsproject.org", @@ -14100,7 +14131,9 @@ "post-processing", "x-ray crystallography" ], - "Explore": null, + "Explore": [ + "[Browse Bucket](https://materialsproject-build.s3.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -14216,10 +14249,10 @@ }, { "Name": "Met Office Global Deterministic 10km on a 2-year rolling archive", - "Description": "Met Office Global Deterministic 10km on a 2-year rolling archive", - "ARN": "arn:aws:s3:::met-office-atmospheric-model-data", + "Description": "Notifications for new atmospheric model data", + "ARN": "arn:aws:sns:eu-west-2:633885181284:met-office-atmospheric-model-data-object_created", "Region": "eu-west-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://www.metoffice.gov.uk/services/data/external-data-channels", "Contact": "servicedesk@metoffice.gov.uk. Service desk is only available Mon \u2013 Fri, 09:00 until 17:00 UTC (-1 hour during BST). As a non-operational service we aim to respond to any service support enquiries within 3-5 business days.", "ManagedBy": "[Met Office](https://www.metoffice.gov.uk/)", @@ -14238,9 +14271,7 @@ "netcdf", "weather" ], - "Explore": [ - "[Browse bucket](https://met-office-atmospheric-model-data.s3.eu-west-2.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -14248,10 +14279,10 @@ }, { "Name": "Met Office Global Deterministic 10km on a 2-year rolling archive", - "Description": "Notifications for new atmospheric model data", - "ARN": "arn:aws:sns:eu-west-2:633885181284:met-office-atmospheric-model-data-object_created", + "Description": "Met Office Global Deterministic 10km on a 2-year rolling archive", + "ARN": "arn:aws:s3:::met-office-atmospheric-model-data", "Region": "eu-west-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://www.metoffice.gov.uk/services/data/external-data-channels", "Contact": "servicedesk@metoffice.gov.uk. Service desk is only available Mon \u2013 Fri, 09:00 until 17:00 UTC (-1 hour during BST). As a non-operational service we aim to respond to any service support enquiries within 3-5 business days.", "ManagedBy": "[Met Office](https://www.metoffice.gov.uk/)", @@ -14270,7 +14301,9 @@ "netcdf", "weather" ], - "Explore": null, + "Explore": [ + "[Browse bucket](https://met-office-atmospheric-model-data.s3.eu-west-2.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -14278,10 +14311,10 @@ }, { "Name": "Met Office UK Deterministic (UKV)2km on a 2-year rolling archive", - "Description": "Met Office UK Deterministic (UKV)2km on a 2-year rolling archive", - "ARN": "arn:aws:s3:::met-office-atmospheric-model-data", + "Description": "Notifications for new atmospheric model data", + "ARN": "arn:aws:sns:eu-west-2:633885181284:met-office-atmospheric-model-data-object_created", "Region": "eu-west-2", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://www.metoffice.gov.uk/services/data/external-data-channels", "Contact": "servicedesk@metoffice.gov.uk. Service desk is only available Mon \u2013 Fri, 09:00 until 17:00 UTC (-1 hour during BST). As a non-operational service we aim to respond to any service support enquiries within 3-5 business days.", "ManagedBy": "[Met Office](https://www.metoffice.gov.uk/)", @@ -14298,11 +14331,9 @@ "near-surface air temperature", "near-surface relative humidity", "netcdf", - "weather" - ], - "Explore": [ - "[Browse bucket](https://met-office-atmospheric-model-data.s3.eu-west-2.amazonaws.com/index.html)" + "weather" ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -14310,10 +14341,10 @@ }, { "Name": "Met Office UK Deterministic (UKV)2km on a 2-year rolling archive", - "Description": "Notifications for new atmospheric model data", - "ARN": "arn:aws:sns:eu-west-2:633885181284:met-office-atmospheric-model-data-object_created", + "Description": "Met Office UK Deterministic (UKV)2km on a 2-year rolling archive", + "ARN": "arn:aws:s3:::met-office-atmospheric-model-data", "Region": "eu-west-2", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://www.metoffice.gov.uk/services/data/external-data-channels", "Contact": "servicedesk@metoffice.gov.uk. Service desk is only available Mon \u2013 Fri, 09:00 until 17:00 UTC (-1 hour during BST). As a non-operational service we aim to respond to any service support enquiries within 3-5 business days.", "ManagedBy": "[Met Office](https://www.metoffice.gov.uk/)", @@ -14332,7 +14363,9 @@ "netcdf", "weather" ], - "Explore": null, + "Explore": [ + "[Browse bucket](https://met-office-atmospheric-model-data.s3.eu-west-2.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -14723,8 +14756,8 @@ }, { "Name": "NAIP on AWS", - "Description": "The data in this bucket is 3 band RGB in Geotiff format It is converted and managed by Esri This imagery is provided as Cloud Optimized GeoTIFFs, has been compressed using YCbCr JPEG with quality 85 It is provided as 512x512 tiles, with pyramids created using 2x sampling by averaging The bucket is set as a Requester Pays bucket", - "ARN": "arn:aws:s3:::naip-visualization", + "Description": "The data in this bucket is Original Imagery in Geotiff format 4-band (RGB + NIR) uncompressed no overviews and metadata in a Requester Pays bucket", + "ARN": "arn:aws:s3:::naip-source", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/naip", @@ -14750,8 +14783,8 @@ }, { "Name": "NAIP on AWS", - "Description": "The data in this bucket is Original Imagery in Geotiff format 4-band (RGB + NIR) uncompressed no overviews and metadata in a Requester Pays bucket", - "ARN": "arn:aws:s3:::naip-source", + "Description": "The data in this bucket is 3 band RGB in Geotiff format It is converted and managed by Esri This imagery is provided as Cloud Optimized GeoTIFFs, has been compressed using YCbCr JPEG with quality 85 It is provided as 512x512 tiles, with pyramids created using 2x sampling by averaging The bucket is set as a Requester Pays bucket", + "ARN": "arn:aws:s3:::naip-visualization", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/naip", @@ -15010,8 +15043,8 @@ }, { "Name": "NASA Earth Exchange (NEX) Data Collection", - "Description": "Global Daily Downscaled Projections (NEX-GDDP)", - "ARN": "arn:aws:s3:::nasanex/NEX-GDDP", + "Description": "Downscaled Climate Projections (NEX-DCP30)", + "ARN": "arn:aws:s3:::nasanex/NEX-DCP30", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/nasa-nex", @@ -15034,8 +15067,8 @@ }, { "Name": "NASA Earth Exchange (NEX) Data Collection", - "Description": "Downscaled Climate Projections (NEX-DCP30)", - "ARN": "arn:aws:s3:::nasanex/NEX-DCP30", + "Description": "Global Daily Downscaled Projections (NEX-GDDP)", + "ARN": "arn:aws:s3:::nasanex/NEX-GDDP", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/nasa-nex", @@ -15132,8 +15165,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The XQC Mission Data Archive Total size < 1 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/xqc/data/spectra/", + "Description": "The VELA 5B Mission Data Archive Total size < 1 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/vela5b/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15158,8 +15191,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "Fermi LAT weekly Data Products as well as GBM bursts and triggers (The full mission data are archived at HEASARC, though only the most generically useful subset of them are provided here", - "ARN": "arn:aws:s3:::heasarc-public/fermi/data/", + "Description": "The HETE-2 Mission Data Archive Total size 287 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/hete2/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15184,8 +15217,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The HETE-2 Mission Data Archive Total size 287 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/hete2/data/", + "Description": "The NICER Mission Data Archive For more information, see the NICER Science Center", + "ARN": "arn:aws:s3:::heasarc-public/nicer/data/obs/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15210,8 +15243,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The NICER Mission Data Archive For more information, see the NICER Science Center", - "ARN": "arn:aws:s3:::heasarc-public/nicer/data/obs/", + "Description": "The HaloSat Mission Data Archive More information available at the mission support website", + "ARN": "arn:aws:s3:::nasa-heasarc/halosat/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15236,8 +15269,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The Hitomi Mission Data Archive Total size 115 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/hitomi/data/", + "Description": "The Ginga Mission Data Archive Total size 19 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/ginga/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15262,8 +15295,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The COPERNICUS Mission Data Archive Total size < 1 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/copernicus/data/uclrawfits", + "Description": "Fermi LAT weekly Data Products as well as GBM bursts and triggers (The full mission data are archived at HEASARC, though only the most generically useful subset of them are provided here", + "ARN": "arn:aws:s3:::heasarc-public/fermi/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15288,8 +15321,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The HEAO-1 Mission Data Archive Total size 84 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/heao1/data/", + "Description": "Swift Mission Data Archive For more information, see the website of the Swift Science Center", + "ARN": "arn:aws:s3:::nasa-heasarc/swift/data/obs/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15314,8 +15347,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The HaloSat Mission Data Archive More information available at the mission support website", - "ARN": "arn:aws:s3:::nasa-heasarc/halosat/data/", + "Description": "The The Einstein Observatory (aka HEAO-2) Data Archive Total size 15 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/einstein/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15340,8 +15373,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The Ginga Mission Data Archive Total size 19 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/ginga/data/", + "Description": "The COS-B Mission Data Archive Total size < 1 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/cosb/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15366,8 +15399,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The The EXOSAT Observatory Data Archive Total size 80 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/exosat/data/", + "Description": "The NuSTAR Mission Data Archive For more information, see the NuSTAR pages at HEASARC", + "ARN": "arn:aws:s3:::heasarc-public/nustar/data/obs/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15392,8 +15425,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The The Einstein Observatory (aka HEAO-2) Data Archive Total size 15 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/einstein/data/", + "Description": "The COPERNICUS Mission Data Archive Total size < 1 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/copernicus/data/uclrawfits", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15418,8 +15451,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The DXS Mission Data Archive Total size < 1 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/dxs/data/", + "Description": "The Compton Mission More information available at the mission support website", + "ARN": "arn:aws:s3:::nasa-heasarc/compton/data", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15444,8 +15477,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The COS-B Mission Data Archive Total size < 1 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/cosb/data/", + "Description": "Chandra Mission Data Archive supported by the Chandra X-ray Observatory", + "ARN": "arn:aws:s3:::nasa-heasarc/chandra/data/byobsid", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15470,8 +15503,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "XMM-Newton Mission Data Archive For more information, see the website of the XMM-Newton Guest Observer Facility", - "ARN": "arn:aws:s3:::nasa-heasarc/xmm/data/rev0/", + "Description": "The BBXRT Mission Data Archive Total size of 1 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/bbxrt", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15496,8 +15529,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The Ariel5 Mission Data Archive Total size < 1 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/ariel5/", + "Description": "The ASCA Mission Data Archive More information available at the mission support website", + "ARN": "arn:aws:s3:::nasa-heasarc/asca/data/rev2", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15522,8 +15555,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The ASCA Mission Data Archive More information available at the mission support website", - "ARN": "arn:aws:s3:::nasa-heasarc/asca/data/rev2", + "Description": "The Ariel5 Mission Data Archive Total size < 1 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/ariel5/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15548,8 +15581,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The BBXRT Mission Data Archive Total size of 1 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/bbxrt", + "Description": "The DXS Mission Data Archive Total size < 1 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/dxs/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15574,8 +15607,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "Chandra Mission Data Archive supported by the Chandra X-ray Observatory", - "ARN": "arn:aws:s3:::nasa-heasarc/chandra/data/byobsid", + "Description": "The OSO-8 Mission Data Archive Total size 5 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/oso8/data/gcxse/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15600,8 +15633,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The NuSTAR Mission Data Archive For more information, see the NuSTAR pages at HEASARC", - "ARN": "arn:aws:s3:::heasarc-public/nustar/data/obs/", + "Description": "The The EXOSAT Observatory Data Archive Total size 80 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/exosat/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15626,8 +15659,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The OSO-8 Mission Data Archive Total size 5 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/oso8/data/gcxse/", + "Description": "The ROSAT Mission Data Archive For more information, see the website of the ROSAT Guest Observer Facility", + "ARN": "arn:aws:s3:::nasa-heasarc/rosat/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15652,8 +15685,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The Compton Mission More information available at the mission support website", - "ARN": "arn:aws:s3:::nasa-heasarc/compton/data", + "Description": "The WASS Mission Data Archive Total size < 1 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/wass/data/maps/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15678,8 +15711,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The RXTE Mission Data Archive For more information, see the website of the RXTE Guest Observer Facility", - "ARN": "arn:aws:s3:::nasa-heasarc/xte/data/archive/", + "Description": "XMM-Newton Mission Data Archive For more information, see the website of the XMM-Newton Guest Observer Facility", + "ARN": "arn:aws:s3:::nasa-heasarc/xmm/data/rev0/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15704,8 +15737,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The SAS-2 Mission Data Archive Total size < 1 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/sas2/data/", + "Description": "The XQC Mission Data Archive Total size < 1 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/xqc/data/spectra/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15730,8 +15763,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The BeppoSAX Mission Data Archive More information available at the mission support website", - "ARN": "arn:aws:s3:::nasa-heasarc/sax/data/", + "Description": "The HEAO-1 Mission Data Archive Total size 84 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/heao1/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15756,8 +15789,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The Suzaku Mission Data Archive For more information, see the website of the Suzaku/Astro-E2 Guest Observer Facility", - "ARN": "arn:aws:s3:::nasa-heasarc/suzaku/data/", + "Description": "The Hitomi Mission Data Archive Total size 115 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/hitomi/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15782,8 +15815,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "Swift Mission Data Archive For more information, see the website of the Swift Science Center", - "ARN": "arn:aws:s3:::nasa-heasarc/swift/data/obs/", + "Description": "The RXTE Mission Data Archive For more information, see the website of the RXTE Guest Observer Facility", + "ARN": "arn:aws:s3:::nasa-heasarc/xte/data/archive/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15808,8 +15841,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The VELA 5B Mission Data Archive Total size < 1 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/vela5b/data/", + "Description": "The SAS-2 Mission Data Archive Total size < 1 GB", + "ARN": "arn:aws:s3:::nasa-heasarc/sas2/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15834,8 +15867,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The WASS Mission Data Archive Total size < 1 GB", - "ARN": "arn:aws:s3:::nasa-heasarc/wass/data/maps/", + "Description": "The BeppoSAX Mission Data Archive More information available at the mission support website", + "ARN": "arn:aws:s3:::nasa-heasarc/sax/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15860,8 +15893,8 @@ }, { "Name": "NASA High Energy Astrophysics Mission Data", - "Description": "The ROSAT Mission Data Archive For more information, see the website of the ROSAT Guest Observer Facility", - "ARN": "arn:aws:s3:::nasa-heasarc/rosat/data/", + "Description": "The Suzaku Mission Data Archive For more information, see the website of the Suzaku/Astro-E2 Guest Observer Facility", + "ARN": "arn:aws:s3:::nasa-heasarc/suzaku/data/", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "The [HEASARC Website](https://heasarc.gsfc.nasa.gov/)", @@ -15886,8 +15919,8 @@ }, { "Name": "NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA)", - "Description": "The COBE/Far-InfraRed Absolute Spectrophotometer (FIRAS) Total size of 94 GB", - "ARN": "arn:aws:s3:::nasa-lambda/cobe/firas", + "Description": "The COBE/Differential Microwave Radiometer (DMR) Total size of 25 GB", + "ARN": "arn:aws:s3:::nasa-lambda/cobe/dmr", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[The LAMBDA Website](https://lambda.gsfc.nasa.gov/)", @@ -15911,8 +15944,8 @@ }, { "Name": "NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA)", - "Description": "The COBE/Diffuse Infrared Background Experiment (DIRBE) Total size of 95 GB", - "ARN": "arn:aws:s3:::nasa-lambda/cobe/dirbe", + "Description": "the Wilkinson Microwave Anisotropy Probe (WMAP)otal size of 2 TB", + "ARN": "arn:aws:s3:::nasa-lambda/cobe/map/dr5", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[The LAMBDA Website](https://lambda.gsfc.nasa.gov/)", @@ -15936,8 +15969,8 @@ }, { "Name": "NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA)", - "Description": "The COBE/Differential Microwave Radiometer (DMR) Total size of 25 GB", - "ARN": "arn:aws:s3:::nasa-lambda/cobe/dmr", + "Description": "The COBE/Far-InfraRed Absolute Spectrophotometer (FIRAS) Total size of 94 GB", + "ARN": "arn:aws:s3:::nasa-lambda/cobe/firas", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[The LAMBDA Website](https://lambda.gsfc.nasa.gov/)", @@ -15961,8 +15994,8 @@ }, { "Name": "NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA)", - "Description": "the Wilkinson Microwave Anisotropy Probe (WMAP)otal size of 2 TB", - "ARN": "arn:aws:s3:::nasa-lambda/cobe/map/dr5", + "Description": "The COBE/Diffuse Infrared Background Experiment (DIRBE) Total size of 95 GB", + "ARN": "arn:aws:s3:::nasa-lambda/cobe/dirbe", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "[The LAMBDA Website](https://lambda.gsfc.nasa.gov/)", @@ -16013,8 +16046,8 @@ }, { "Name": "NASA Prediction of Worldwide Energy Resources (POWER)", - "Description": "POWER's Zarr Analysis Ready Data (ARD) Datasets", - "ARN": "arn:aws:s3:::power-analysis-ready-datastore", + "Description": "POWER's NetCDF Datastore", + "ARN": "arn:aws:s3:::power-datastore", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://power.larc.nasa.gov/docs/", @@ -16061,7 +16094,7 @@ "aws-pds" ], "Explore": [ - "[Browse Bucket](https://power-analysis-ready-datastore.s3.us-west-2.amazonaws.com/index.html)" + "[Browse Bucket](https://power-datastore.s3.us-west-2.amazonaws.com/index.html)" ], "RequesterPays": false, "ControlledAccess": null, @@ -16070,8 +16103,8 @@ }, { "Name": "NASA Prediction of Worldwide Energy Resources (POWER)", - "Description": "POWER's NetCDF Datastore", - "ARN": "arn:aws:s3:::power-datastore", + "Description": "POWER's Zarr Analysis Ready Data (ARD) Datasets", + "ARN": "arn:aws:s3:::power-analysis-ready-datastore", "Region": "us-west-2", "Type": "S3 Bucket", "Documentation": "https://power.larc.nasa.gov/docs/", @@ -16118,7 +16151,7 @@ "aws-pds" ], "Explore": [ - "[Browse Bucket](https://power-datastore.s3.us-west-2.amazonaws.com/index.html)" + "[Browse Bucket](https://power-analysis-ready-datastore.s3.us-west-2.amazonaws.com/index.html)" ], "RequesterPays": false, "ControlledAccess": null, @@ -16279,10 +16312,10 @@ }, { "Name": "NEXRAD on AWS", - "Description": "NEXRAD Level II real-time data", - "ARN": "arn:aws:s3:::unidata-nexrad-level2-chunks", + "Description": "Notifications for the Level III bucket", + "ARN": "arn:aws:sns:us-east-1:684042711724:NewNEXRADLevel3Object", "Region": "us-east-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad", "Contact": "support-level2@unidata.ucar.edu", "ManagedBy": "[Unidata](https://www.unidata.ucar.edu/)", @@ -16304,10 +16337,10 @@ }, { "Name": "NEXRAD on AWS", - "Description": "NEXRAD Level III real-time select data", - "ARN": "arn:aws:s3:::unidata-nexrad-level3", + "Description": "Notifications for the Level II archival bucket", + "ARN": "arn:aws:sns:us-east-1:811054952067:NewNEXRADLevel2Archive", "Region": "us-east-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad", "Contact": "support-level2@unidata.ucar.edu", "ManagedBy": "[Unidata](https://www.unidata.ucar.edu/)", @@ -16321,9 +16354,7 @@ "weather", "meteorological" ], - "Explore": [ - "[Browse Bucket](https://unidata-nexrad-level3.s3.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -16356,10 +16387,10 @@ }, { "Name": "NEXRAD on AWS", - "Description": "Notifications for the Level II archival bucket", - "ARN": "arn:aws:sns:us-east-1:811054952067:NewNEXRADLevel2Archive", + "Description": "NEXRAD Level III real-time select data", + "ARN": "arn:aws:s3:::unidata-nexrad-level3", "Region": "us-east-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad", "Contact": "support-level2@unidata.ucar.edu", "ManagedBy": "[Unidata](https://www.unidata.ucar.edu/)", @@ -16373,7 +16404,9 @@ "weather", "meteorological" ], - "Explore": null, + "Explore": [ + "[Browse Bucket](https://unidata-nexrad-level3.s3.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -16381,10 +16414,10 @@ }, { "Name": "NEXRAD on AWS", - "Description": "Notifications for the Level III bucket", - "ARN": "arn:aws:sns:us-east-1:684042711724:NewNEXRADLevel3Object", + "Description": "NEXRAD Level II real-time data", + "ARN": "arn:aws:s3:::unidata-nexrad-level2-chunks", "Region": "us-east-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad", "Contact": "support-level2@unidata.ucar.edu", "ManagedBy": "[Unidata](https://www.unidata.ucar.edu/)", @@ -16472,8 +16505,8 @@ }, { "Name": "NIH NCBI Sequence Read Archive (SRA) on AWS", - "Description": "bam, cram, and fastq files in a public S3 bucket This is the second of two S3 buckets for source submissions from sequencing methodologies such as PacBio, Oxford Nanopore Technologies, and 10X Genomics", - "ARN": "arn:aws:s3:::sra-pub-src-2", + "Description": "Metadata files for the Sequence Read Archive, ready to load into AWS Glue and query with Amazon Athena", + "ARN": "arn:aws:s3:::sra-pub-metadata-us-east-1/sra/metadata", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/", @@ -16502,10 +16535,10 @@ }, { "Name": "NIH NCBI Sequence Read Archive (SRA) on AWS", - "Description": "Update notifications for s3://sra-pub-run-odp Users can subscribe to this SNS topic with AWS Lambda or AWS Simple Queue Service", - "ARN": "arn:aws:sns:us-east-1:867126678632:sra-pub-run-odp-objects", + "Description": "sra files in a public S3 bucket This bucket contains all open access SRA submissions in the SRA Normalized format with full base quality scores The SRA Toolkit will be required to convert these objects into FASTQ or SAM files Note that this bucket is updated on a daily basis, however, there may be a one to two day lag between accessions being findable via the SRA Search and being accessible in this S3 bucket", + "ARN": "arn:aws:s3:::sra-pub-run-odp", "Region": "us-east-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/", "Contact": "sra@ncbi.nlm.nih.gov", "ManagedBy": "[National Library of Medicine (NLM)](http://nlm.nih.gov/)", @@ -16532,8 +16565,8 @@ }, { "Name": "NIH NCBI Sequence Read Archive (SRA) on AWS", - "Description": "Metadata files for the Sequence Read Archive, ready to load into AWS Glue and query with Amazon Athena", - "ARN": "arn:aws:s3:::sra-pub-metadata-us-east-1/sra/metadata", + "Description": "bam, cram, and fastq files in a public S3 bucket This is the second of two S3 buckets for source submissions from sequencing methodologies such as PacBio, Oxford Nanopore Technologies, and 10X Genomics", + "ARN": "arn:aws:s3:::sra-pub-src-2", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/", @@ -16562,8 +16595,8 @@ }, { "Name": "NIH NCBI Sequence Read Archive (SRA) on AWS", - "Description": "sra files in a controlled-access S3 bucket This bucket contains controlled-access dbGaP submissions in the SRA Normalized format with full base quality scores The SRA Toolkit will be required to convert these objects into FASTQ or SAM files Note that this bucket is updated on a daily basis, however, there may be a one to two day lag between accessions being findable via the SRA Search and being accessible in this S3 bucket", - "ARN": "arn:aws:s3:::sra-ca-run-odp", + "Description": "bam, cram, and fastq files in a public S3 bucket This is the first of two S3 buckets for source submissions from sequencing methodologies such as PacBio, Oxford Nanopore Technologies, and 10X Genomics", + "ARN": "arn:aws:s3:::sra-pub-src-1", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/", @@ -16586,16 +16619,16 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": "https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=login", + "ControlledAccess": null, "AccountRequired": null, "Host": null }, { "Name": "NIH NCBI Sequence Read Archive (SRA) on AWS", - "Description": "sra files in a public S3 bucket This bucket contains all open access SRA submissions in the SRA Normalized format with full base quality scores The SRA Toolkit will be required to convert these objects into FASTQ or SAM files Note that this bucket is updated on a daily basis, however, there may be a one to two day lag between accessions being findable via the SRA Search and being accessible in this S3 bucket", - "ARN": "arn:aws:s3:::sra-pub-run-odp", + "Description": "Update notifications for s3://sra-pub-run-odp Users can subscribe to this SNS topic with AWS Lambda or AWS Simple Queue Service", + "ARN": "arn:aws:sns:us-east-1:867126678632:sra-pub-run-odp-objects", "Region": "us-east-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/", "Contact": "sra@ncbi.nlm.nih.gov", "ManagedBy": "[National Library of Medicine (NLM)](http://nlm.nih.gov/)", @@ -16622,8 +16655,8 @@ }, { "Name": "NIH NCBI Sequence Read Archive (SRA) on AWS", - "Description": "bam, cram, and fastq files in a public S3 bucket This is the first of two S3 buckets for source submissions from sequencing methodologies such as PacBio, Oxford Nanopore Technologies, and 10X Genomics", - "ARN": "arn:aws:s3:::sra-pub-src-1", + "Description": "sra files in a controlled-access S3 bucket This bucket contains controlled-access dbGaP submissions in the SRA Normalized format with full base quality scores The SRA Toolkit will be required to convert these objects into FASTQ or SAM files Note that this bucket is updated on a daily basis, however, there may be a one to two day lag between accessions being findable via the SRA Search and being accessible in this S3 bucket", + "ARN": "arn:aws:s3:::sra-ca-run-odp", "Region": "us-east-1", "Type": "S3 Bucket", "Documentation": "https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/", @@ -16646,7 +16679,7 @@ ], "Explore": null, "RequesterPays": null, - "ControlledAccess": null, + "ControlledAccess": "https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=login", "AccountRequired": null, "Host": null }, @@ -16789,10 +16822,10 @@ }, { "Name": "NOAA 3-D Surge and Tide Operational Forecast System for the Atlantic Basin (STOFS-3D-Atlantic)", - "Description": "NOAA STOFS-3D-Atlantic Forecast Guidance New Dataset Notification", - "ARN": "arn:aws:sns:us-east-1:709902155096:NewICOGS3DObject", + "Description": "NOAA STOFS-3D-Atlantic Forecast Guidance", + "ARN": "arn:aws:s3:::noaa-nos-stofs3d-pds", "Region": "us-east-1", - "Type": "SNS Topic", + "Type": "S3 Bucket", "Documentation": "https://noaa-nos-stofs3d-pds.s3.amazonaws.com/README.html", "Contact": "For questions regarding data content or quality, visit the STOFS site (https://polar.ncep.noaa.gov/stofs/).
For any questions regarding data delivery or any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@noaa.gov.
We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NODD team by emailing nodd@noaa.gov", "ManagedBy": "[NOAA](http://www.noaa.gov/)", @@ -16812,7 +16845,9 @@ "sustainability", "climate" ], - "Explore": null, + "Explore": [ + "[Browse Bucket](https://noaa-nos-stofs3d-pds.s3.amazonaws.com/index.html)" + ], "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, @@ -16820,10 +16855,10 @@ }, { "Name": "NOAA 3-D Surge and Tide Operational Forecast System for the Atlantic Basin (STOFS-3D-Atlantic)", - "Description": "NOAA STOFS-3D-Atlantic Forecast Guidance", - "ARN": "arn:aws:s3:::noaa-nos-stofs3d-pds", + "Description": "NOAA STOFS-3D-Atlantic Forecast Guidance New Dataset Notification", + "ARN": "arn:aws:sns:us-east-1:709902155096:NewICOGS3DObject", "Region": "us-east-1", - "Type": "S3 Bucket", + "Type": "SNS Topic", "Documentation": "https://noaa-nos-stofs3d-pds.s3.amazonaws.com/README.html", "Contact": "For questions regarding data content or quality, visit the STOFS site (https://polar.ncep.noaa.gov/stofs/).
For any questions regarding data delivery or any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@noaa.gov.
We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NODD team by emailing nodd@noaa.gov", "ManagedBy": "[NOAA](http://www.noaa.gov/)", @@ -16843,9 +16878,7 @@ "sustainability", "climate" ], - "Explore": [ - "[Browse Bucket](https://noaa-nos-stofs3d-pds.s3.amazonaws.com/index.html)" - ], + "Explore": null, "RequesterPays": null, "ControlledAccess": null, "AccountRequired": null, diff --git a/aws_open_datasets.tsv b/aws_open_datasets.tsv index 66b6c26..8a643e0 100644 --- a/aws_open_datasets.tsv +++ b/aws_open_datasets.tsv @@ -2,11 +2,11 @@ Name Description ARN Region Type Documentation Contact ManagedBy UpdateFrequency (EXPERIMENTAL) NOAA GraphCast Global Forecast System (GFS) (EXPERIMENTAL) New data notifications for GraphCast GFS, only Lambda and SQS protocols allowed arn:aws:sns:us-east-1:709902155096:NewNWSGRAPHCASTGFSObject us-east-1 SNS Topic For the NOAA Product, https://graphcastgfs.readthedocs.io/en/latest/index.html a For questions regarding data content or quality, visit [the NOAA EMC Github site [NOAA](http://www.noaa.gov/) 4 times a day at 00Z, 06Z, 12Z and 18Z NOAA's GraphCast GFS products are released under CC0 license. The products in th aws-pds, agriculture, climate, disaster response, environmental, meteorological, weather (EXPERIMENTAL) NOAA GraphCast Global Forecast System (GFS) (EXPERIMENTAL) GraphCast GFS data arn:aws:s3:::noaa-nws-graphcastgfs-pds us-east-1 S3 Bucket For the NOAA Product, https://graphcastgfs.readthedocs.io/en/latest/index.html a For questions regarding data content or quality, visit [the NOAA EMC Github site [NOAA](http://www.noaa.gov/) 4 times a day at 00Z, 06Z, 12Z and 18Z NOAA's GraphCast GFS products are released under CC0 license. The products in th aws-pds, agriculture, climate, disaster response, environmental, meteorological, weather ['[Browse Bucket](https://noaa-nws-graphcastgfs-pds.s3.amazonaws.com/index.html)'] 1000 Genomes http://wwwinternationalgenomeorg/formats arn:aws:s3:::1000genomes us-east-1 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/1000genomes http://www.internationalgenome.org/contact National Institutes of Health Not updated Data from the 1000 Genomes Project is now available without embargo, following t aws-pds, genetic, genomic, life sciences, whole genome sequencing, fastq +1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2 CRAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp arn:aws:s3:::1000genomes-dragen-v4-2-7 us-east-1 S3 Bucket [DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_so [Illumina, Inc.](mailto:support@illumina.com) [Illumina, Inc.](https://www.illumina.com/products/by-type/informatics-products/ Files may be updated subsequent to changes to the 1000 Genomes Project data set TBD aws-pds, bam, bioinformatics, biology, cram, genetic, genomic, genotyping, life sciences, machine learning, population genetics, short read sequencing, structural variation, tertiary analysis, variant annotation, whole genome sequencing 1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2 CRAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp arn:aws:s3:::1000genomes-dragen-v4.0.3 us-east-1 S3 Bucket [DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_so [Illumina, Inc.](mailto:support@illumina.com) [Illumina, Inc.](https://www.illumina.com/products/by-type/informatics-products/ Files may be updated subsequent to changes to the 1000 Genomes Project data set TBD aws-pds, bam, bioinformatics, biology, cram, genetic, genomic, genotyping, life sciences, machine learning, population genetics, short read sequencing, structural variation, tertiary analysis, variant annotation, whole genome sequencing 1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2 BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2 arn:aws:s3:::1000genomes-dragen-v3.7.6 us-east-1 S3 Bucket [DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_so [Illumina, Inc.](mailto:support@illumina.com) [Illumina, Inc.](https://www.illumina.com/products/by-type/informatics-products/ Files may be updated subsequent to changes to the 1000 Genomes Project data set TBD aws-pds, bam, bioinformatics, biology, cram, genetic, genomic, genotyping, life sciences, machine learning, population genetics, short read sequencing, structural variation, tertiary analysis, variant annotation, whole genome sequencing 1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2 BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp2 arn:aws:s3:::1000genomes-dragen-3.7.6 us-west-2 S3 Bucket [DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_so [Illumina, Inc.](mailto:support@illumina.com) [Illumina, Inc.](https://www.illumina.com/products/by-type/informatics-products/ Files may be updated subsequent to changes to the 1000 Genomes Project data set TBD aws-pds, bam, bioinformatics, biology, cram, genetic, genomic, genotyping, life sciences, machine learning, population genetics, short read sequencing, structural variation, tertiary analysis, variant annotation, whole genome sequencing 1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2 BAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, metr arn:aws:s3:::1000genomes-dragen us-west-2 S3 Bucket [DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_so [Illumina, Inc.](mailto:support@illumina.com) [Illumina, Inc.](https://www.illumina.com/products/by-type/informatics-products/ Files may be updated subsequent to changes to the 1000 Genomes Project data set TBD aws-pds, bam, bioinformatics, biology, cram, genetic, genomic, genotyping, life sciences, machine learning, population genetics, short read sequencing, structural variation, tertiary analysis, variant annotation, whole genome sequencing -1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2 CRAM, SNV-vcf, SNV-gvcf, STR-vcf, STR-bam, SV-vcf, ROH-vcf, CNV-vcf, CNV-bw, cyp arn:aws:s3:::1000genomes-dragen-v4-2-7 us-east-1 S3 Bucket [DRAGEN Support Resources](https://support.illumina.com/sequencing/sequencing_so [Illumina, Inc.](mailto:support@illumina.com) [Illumina, Inc.](https://www.illumina.com/products/by-type/informatics-products/ Files may be updated subsequent to changes to the 1000 Genomes Project data set TBD aws-pds, bam, bioinformatics, biology, cram, genetic, genomic, genotyping, life sciences, machine learning, population genetics, short read sequencing, structural variation, tertiary analysis, variant annotation, whole genome sequencing 10m Annual Land Use Land Cover (9-class) 10m Annual Land Use Land Cover (9-class) arn:aws:s3:::io-10m-annual-lulc us-west-2 S3 Bucket https://www.impactobservatory.com/global_maps hello@impactobservatory.com [Impact Observatory](https://www.impactobservatory.com/) A new year is made available annually, each January. A new time series was provi [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) aws-pds, earth observation, environmental, geospatial, satellite imagery, sustainability, stac, cog, land cover, land use, machine learning, mapping, planetary ['[STAC 1.0.0 endpoint](https://api.impactobservatory.com/stac-aws/collections/io-10m-annual-lulc/items)'] 1940 Census Population Schedules, Enumeration District Maps, and Enumeration District Descriptions 1940 Census arn:aws:s3:::nara-1940-census us-east-2 S3 Bucket https://www.archives.gov/developer/1940-census public.dataset.program@nara.gov National Archives and Records Administration (NARA) Not updated US Government work nara, census, archives, 1940 census, demography, aws-pds 1950 Census Population Schedules, Enumeration District Maps, and Enumeration District Descriptions 1950 Census arn:aws:s3:::nara-1950-census us-east-2 S3 Bucket https://www.archives.gov/developer/1950-census public.dataset.program@nara.gov National Archives and Records Administration (NARA) Not updated US Government work nara, census, archives, 1950 census, demography, aws-pds @@ -16,8 +16,8 @@ Name Description ARN Region Type Documentation Contact ManagedBy UpdateFrequency 2010 Census Production Settings Redistricting Data (P.L. 94-171) Demonstration Noisy Measurement File The 2010 Census Redistricting Data (PL 94-171) Noisy Measurement File arn:aws:s3:::uscb-2020-product-releases/decennial/redistricting/2010/nmf/2010-pl94-nmf-state-partitioned us-west-2 S3 Bucket [2010 Census Production Settings Redistricting Data (P.L. 94-171) Demonstration 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Last updated November 10, 2023: Modifications to identifiers within the parquet CC0 1.0 Universal aws-pds, census, differential privacy, disclosure avoidance, ethnicity, group quarters, hispanic, latino, housing, housing units, noisy measurements, population, race, redistricting, voting age 2020 Census Demographic and Housing Characteristics (DHC) Noisy Measurement File Census Open Data S3 Inventory arn:aws:s3:::uscb-opendata-inventory us-west-2 S3 Bucket [Demographic and Housing Characteristics (DHC) Noisy Measurement File (2023-10-2 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal aws-pds, census, differential privacy, disclosure avoidance, ethnicity, group quarters, housing, housing units, noisy measurements, population, race, redistricting, voting age 2020 Census Demographic and Housing Characteristics (DHC) Noisy Measurement File The 2020 Census Demographic and Housing Characteristics Noisy Measurement File arn:aws:s3:::uscb-2020-product-releases/decennial/dhc/2020/nmf/2020-dhc-nmf us-west-2 S3 Bucket [Demographic and Housing Characteristics (DHC) Noisy Measurement File (2023-10-2 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal aws-pds, census, differential privacy, disclosure avoidance, ethnicity, group quarters, housing, housing units, noisy measurements, population, race, redistricting, voting age -2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File The 2020 Census Redistricting Data (PL 94-171) Noisy Measurement File arn:aws:s3:::uscb-2020-product-releases/decennial/redistricting/2020/nmf/2020-pl94-nmf-state-partitioned us-west-2 S3 Bucket [2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File README File 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal aws-pds, census, differential privacy, disclosure avoidance, ethnicity, group quarters, housing, housing units, noisy measurements, population, race, redistricting, voting age 2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File Census Open Data S3 Inventory arn:aws:s3:::uscb-opendata-inventory us-west-2 S3 Bucket [2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File README File 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal aws-pds, census, differential privacy, disclosure avoidance, ethnicity, group quarters, housing, housing units, noisy measurements, population, race, redistricting, voting age +2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File The 2020 Census Redistricting Data (PL 94-171) Noisy Measurement File arn:aws:s3:::uscb-2020-product-releases/decennial/redistricting/2020/nmf/2020-pl94-nmf-state-partitioned us-west-2 S3 Bucket [2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File README File 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal aws-pds, census, differential privacy, disclosure avoidance, ethnicity, group quarters, housing, housing units, noisy measurements, population, race, redistricting, voting age 2021 Amazon Last Mile Routing Research Challenge Dataset Dataset including training and testing data Folder almrrc2021_data_training inc arn:aws:s3:::amazon-last-mile-challenges us-west-2 S3 Bucket https://github.com/MIT-CAVE/rc-cli/blob/main/templates/data_structures.md lastmile-research-challenge@amazon.com [Amazon](https://www.amazon.com/) None Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. The material transportation, machine learning, deep learning, amazon.science, urban, analytics, geospatial, logistics, last mile, optimization, routing 3-Band Cryo Data | Wide-field Infrared Survey Explorer (WISE) "3-Band Cryo Single-exposure Image Sets: 392,879 calibrated 1024x1024 pix @275""/" arn:aws:s3:::nasa-irsa-wise/wise/cryo-3band us-west-2 S3 Bucket https://irsa.ipac.caltech.edu/Missions/wise.html https://irsa.ipac.caltech.edu/docs/help_desk.html NASA/IPAC Infrared Science Archive ([IRSA](https://irsa.ipac.caltech.edu)) at Ca The WISE 3-Band Cryo Data Release has been finalized and will not be updated. https://irsa.ipac.caltech.edu/data_use_terms.html aws-pds, astronomy, imaging, satellite imagery, survey False False 3000 Rice Genomes Project http://s3amazonawscom/3kricegenome/README-snp_pipelinetxt arn:aws:s3:::3kricegenome us-east-1 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/3kricegenome http://iric.irri.org/contact-us [International Rice Research Institute](https://www.irri.org/) Not updated This data is available for anyone to use under the terms of the Toronto Statemen agriculture, food security, aws-pds, genetic, genomic, life sciences @@ -33,26 +33,26 @@ AI2 Meaningful Citations Data Set Project data files in a public bucket arn:aws: AI2 Reasoning Challenge (ARC) 2018 Project data files in a public bucket arn:aws:s3:::ai2-public-datasets us-west-2 S3 Bucket https://allenai.org/data/arc info@allenai.org [Allen Institute for AI](https://allenai.org) Not updated [CC BY-SA](https://creativecommons.org/licenses/by-sa/4.0/) aws-pds, machine learning, json, csv AI2 TabMCQ: Multiple Choice Questions aligned with the Aristo Tablestore Project data files in a public bucket arn:aws:s3:::ai2-public-datasets/tablestore-questions/ us-west-2 S3 Bucket https://allenai.org/data/tablestore-questions info@allenai.org [Allen Institute for AI](https://allenai.org) Not updated [CC BY-SA](https://creativecommons.org/licenses/by-sa/4.0/) aws-pds, machine learning, natural language processing AI2 Tablestore (November 2015 Snapshot) Project data files in a public bucket arn:aws:s3:::ai2-public-datasets/tablestore/ us-west-2 S3 Bucket https://allenai.org/data/tablestore info@allenai.org [Allen Institute for AI](https://allenai.org) Not updated [CC BY-SA](https://creativecommons.org/licenses/by-sa/4.0/) aws-pds, machine learning, natural language processing -ARPA-E PERFORM Forecast data ARPA-E PERFORM Forecast data arn:aws:s3:::arpa-e-perform/ us-west-2 S3 Bucket https://github.com/PERFORM-Forecasts/documentation https://github.com/openEDI/PERFORM-Forecasts/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar ARPA-E PERFORM Forecast data Forecasts and Actuals for The Southwest Power Pool (SPP) arn:aws:s3:::arpa-e-perform/SPP/ us-west-2 S3 Bucket https://github.com/PERFORM-Forecasts/documentation https://github.com/openEDI/PERFORM-Forecasts/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar ARPA-E PERFORM Forecast data Forecasts and Actuals for The Midcontinent Independent System Operator (MISO) arn:aws:s3:::arpa-e-perform/MISO/ us-west-2 S3 Bucket https://github.com/PERFORM-Forecasts/documentation https://github.com/openEDI/PERFORM-Forecasts/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar ARPA-E PERFORM Forecast data Forecasts and Actuals for The New York Independent System Operator (NYISO) arn:aws:s3:::arpa-e-perform/NYISO/ us-west-2 S3 Bucket https://github.com/PERFORM-Forecasts/documentation https://github.com/openEDI/PERFORM-Forecasts/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar ARPA-E PERFORM Forecast data Forecasts and Actuals for The Electric Reliability Council of Texas (ERCOT) arn:aws:s3:::arpa-e-perform/ERCOT/ us-west-2 S3 Bucket https://github.com/PERFORM-Forecasts/documentation https://github.com/openEDI/PERFORM-Forecasts/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar -ASF SAR Data Products for Disaster Events ASF Event data S3 bucket arn:aws:s3:::asf-event-data us-west-2 S3 Bucket https://asf-event-data.s3.us-west-2.amazonaws.com/README.md https://asf.alaska.edu/asf/contact-us/ [The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/) Irregular, in response to disaster events This data falls under the terms and conditions of the [Creative Commons Zero (CC aws-pds, disaster response, satellite imagery, geospatial, cog, stac ['[Browse Bucket](https://asf-event-data.s3.amazonaws.com/index.html)'] +ARPA-E PERFORM Forecast data ARPA-E PERFORM Forecast data arn:aws:s3:::arpa-e-perform/ us-west-2 S3 Bucket https://github.com/PERFORM-Forecasts/documentation https://github.com/openEDI/PERFORM-Forecasts/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar ASF SAR Data Products for Disaster Events Notifications for new event data arn:aws:sns:us-west-2:654654592981:asf-event-data-object_created us-west-2 SNS Topic https://asf-event-data.s3.us-west-2.amazonaws.com/README.md https://asf.alaska.edu/asf/contact-us/ [The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/) Irregular, in response to disaster events This data falls under the terms and conditions of the [Creative Commons Zero (CC aws-pds, disaster response, satellite imagery, geospatial, cog, stac +ASF SAR Data Products for Disaster Events ASF Event data S3 bucket arn:aws:s3:::asf-event-data us-west-2 S3 Bucket https://asf-event-data.s3.us-west-2.amazonaws.com/README.md https://asf.alaska.edu/asf/contact-us/ [The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/) Irregular, in response to disaster events This data falls under the terms and conditions of the [Creative Commons Zero (CC aws-pds, disaster response, satellite imagery, geospatial, cog, stac ['[Browse Bucket](https://asf-event-data.s3.amazonaws.com/index.html)'] ASTER L1T Cloud-Optimized GeoTIFFs New image notifications arn:aws:sns:us-west-2:526859492376:aster-l1t-object_created us-west-2 SNS Topic https://github.com/awslabs/open-data-docs/tree/main/docs/aster-l1t opendata@descarteslabs.com [Descartes Labs](https://descarteslabs.com/) Daily There are no restrictions on the use of data, unless expressly identified prior aws-pds, earth observation, satellite imagery, geospatial, natural resource, sustainability, mining, cog ASTER L1T Cloud-Optimized GeoTIFFs Imagery and metadata arn:aws:s3:::aster-l1t us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/aster-l1t opendata@descarteslabs.com [Descartes Labs](https://descarteslabs.com/) Daily There are no restrictions on the use of data, unless expressly identified prior aws-pds, earth observation, satellite imagery, geospatial, natural resource, sustainability, mining, cog False AWS Public Blockchain Data AWS Public Blockchain Data arn:aws:s3:::aws-public-blockchain us-east-2 S3 Bucket https://github.com/aws-samples/digital-assets-examples/blob/main/analytics/ aws-blockchain-data@amazon.com [Amazon Web Services](https://aws.amazon.com/) New data is delivered daily to the current date folders Parquet files. https://github.com/aws-samples/digital-assets-examples/blob/main/LICENSE blockchain, web3 AWS iGenomes AWS-iGenomes S3 Bucket arn:aws:s3:::ngi-igenomes eu-west-1 S3 Bucket https://ewels.github.io/AWS-iGenomes/ https://github.com/ewels/AWS-iGenomes/issues [SciLifeLab](https://opensource.scilifelab.se/) New data are added when available. Multiple - please see [data origins](https://github.com/ewels/AWS-iGenomes#data- amazon.science, agriculture, biology, genetic, genomic, life sciences, reference index, Caenorhabditis elegans, Danio rerio, Homo sapiens, Mus musculus, Rattus norvegicus Africa Soil Information Service (AfSIS) Soil Chemistry Paired wet and dry chemistry measurements for georeferenced soilscollected by t arn:aws:s3:::afsis us-east-1 S3 Bucket https://github.com/qedsoftware/afsis-soil-chem-tutorial afsis@qed.ai [QED](https://qed.ai/) As required "ODC Open Database License (""[ODbL](https://opendatacommons.org/licenses/odbl/sum" agriculture, aws-pds, environmental, food security, machine learning, life sciences +AgricultureVision Dataset affiliated with the 2021 CVPR Agricutlure Vision Workshop This includ arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_challenge_2021 us-east-1 S3 Bucket https://arxiv.org/abs/2001.01306 support@intelinair.com Intelinair, Inc. Periodically Provided in the bucket. aws-pds, aerial imagery, agriculture, computer vision, deep learning, machine learning False AgricultureVision Dataset affiliated with the 2021 CVPR Agricutlure Vision Workshop This includes arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_challenge_2021_full us-east-1 S3 Bucket https://arxiv.org/abs/2001.01306 support@intelinair.com Intelinair, Inc. Periodically Provided in the bucket. aws-pds, aerial imagery, agriculture, computer vision, deep learning, machine learning False AgricultureVision Original dataset affiliated with the 2020 CVPR paper Dataset provided as a ser arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_paper_2020 us-east-1 S3 Bucket https://arxiv.org/abs/2001.01306 support@intelinair.com Intelinair, Inc. Periodically Provided in the bucket. aws-pds, aerial imagery, agriculture, computer vision, deep learning, machine learning False -AgricultureVision Dataset affiliated with the 2021 CVPR Agricutlure Vision Workshop This includ arn:aws:s3:::intelinair-data-releases/agriculture-vision/cvpr_challenge_2021 us-east-1 S3 Bucket https://arxiv.org/abs/2001.01306 support@intelinair.com Intelinair, Inc. Periodically Provided in the bucket. aws-pds, aerial imagery, agriculture, computer vision, deep learning, machine learning False Airborne Object Tracking Dataset The training dataset is further split into smaller directories Each subdirector arn:aws:s3:::airborne-obj-detection-challenge-training us-east-1 S3 Bucket https://www.aicrowd.com/challenges/airborne-object-tracking-challenge airborne-object-tracking-challenge@amazon.com [Amazon](https://www.amazon.com/) Not updated Community Data License Agreement – Permissive, Version 1.0 https://cdla.dev/perm amazon.science, computer vision, deep learning, machine learning ['[Explore dataset](https://github.com/amazon-research/siam-mot/blob/main/readme/model_zoo.md)', '[README](https://gitlab.aicrowd.com/amazon-prime-air/airborne-detection-starter-kit/-/blob/master/docs/DATASET.md)'] All-Sky Data | Wide-field Infrared Survey Explorer (WISE) "All-Sky Single-exposure Image Sets: 1,491,686 calibrated 1024x1024 pix @275""/pi" arn:aws:s3:::nasa-irsa-wise/wise/allsky us-west-2 S3 Bucket https://irsa.ipac.caltech.edu/Missions/wise.html https://irsa.ipac.caltech.edu/docs/help_desk.html NASA/IPAC Infrared Science Archive ([IRSA](https://irsa.ipac.caltech.edu)) at Ca The All-Sky Data Release has been finalized and will not be updated. https://irsa.ipac.caltech.edu/data_use_terms.html aws-pds, astronomy, imaging, satellite imagery, survey False False AllWISE Data | Wide-field Infrared Survey Explorer (WISE) The AllWISE Images Atlas includes 18,240 4-band (34, 46, 12, 22 microns) calib arn:aws:s3:::nasa-irsa-wise/wise/allwise us-west-2 S3 Bucket https://irsa.ipac.caltech.edu/Missions/wise.html https://irsa.ipac.caltech.edu/docs/help_desk.html NASA/IPAC Infrared Science Archive ([IRSA](https://irsa.ipac.caltech.edu)) at Ca The AllWISE Data Release has been finalized and will not be updated. However, th https://irsa.ipac.caltech.edu/data_use_terms.html aws-pds, astronomy, imaging, object detection, parquet, satellite imagery, survey False False -Allen Brain Observatory - Visual Coding AWS Public Data Set SageMaker launch template with s3fs bucket mounts arn:aws:s3:::allen-brain-observatory-templates us-west-2 S3 Bucket https://github.com/AllenInstitute/AllenSDK/wiki/Use-the-Allen-Brain-Observatory- awspublicdataset@alleninstitute.org [Allen Institute](http://www.alleninstitute.org/) Annually http://www.alleninstitute.org/legal/terms-use/ aws-pds, neurobiology, neuroimaging, image processing, imaging, life sciences, signal processing, electrophysiology, Mus musculus Allen Brain Observatory - Visual Coding AWS Public Data Set Project data files in a public bucket arn:aws:s3:::allen-brain-observatory us-west-2 S3 Bucket https://github.com/AllenInstitute/AllenSDK/wiki/Use-the-Allen-Brain-Observatory- awspublicdataset@alleninstitute.org [Allen Institute](http://www.alleninstitute.org/) Annually http://www.alleninstitute.org/legal/terms-use/ aws-pds, neurobiology, neuroimaging, image processing, imaging, life sciences, signal processing, electrophysiology, Mus musculus +Allen Brain Observatory - Visual Coding AWS Public Data Set SageMaker launch template with s3fs bucket mounts arn:aws:s3:::allen-brain-observatory-templates us-west-2 S3 Bucket https://github.com/AllenInstitute/AllenSDK/wiki/Use-the-Allen-Brain-Observatory- awspublicdataset@alleninstitute.org [Allen Institute](http://www.alleninstitute.org/) Annually http://www.alleninstitute.org/legal/terms-use/ aws-pds, neurobiology, neuroimaging, image processing, imaging, life sciences, signal processing, electrophysiology, Mus musculus Allen Cell Imaging Collections Data files in a public bucket arn:aws:s3:::allencell us-east-1 S3 Bucket https://open.quiltdata.com/b/allencell cells@alleninstitute.org [Allen Institute for Cell Science](https://www.allencell.org) Biweekly https://www.allencell.org/terms-of-use.html aws-pds, life sciences, biology, cell imaging, cell biology, microscopy, image processing, machine learning, Homo sapiens Allen Institute for Brain Science - Synaptic Physiology Public Data Set Database files used by aisynphys package arn:aws:s3:::allen-synphys us-west-2 S3 Bucket https://portal.brain-map.org/explore/connectivity/synaptic-physiology synapticphysiology@alleninstitute.org [Allen Institute](http://www.alleninstitute.org/) Finalized http://www.alleninstitute.org/legal/terms-use/ aws-pds, neurobiology, life sciences, signal processing, electrophysiology, Mus musculus, Homo sapiens Allen Institute for Neural Dynamics - Extracellular Electrophysiology Compression Benchmark Project data files in a public bucket arn:aws:s3:::aind-benchmark-data/ephys-compression us-west-2 S3 Bucket https://allenneuraldynamics.github.io/data.html#aind-benchmark-dataephys-compres aindopendata@alleninstitute.org [Allen Institute](http://neuraldynamics.alleninstitute.org/) Weekly CC-BY-4.0 aws-pds, neurobiology, life sciences, signal processing, electrophysiology, Mus musculus @@ -64,15 +64,15 @@ Amazon Bin Image Dataset Over 500,000 bin JPEG images and corresponding JSON met Amazon Seller Contact Intent Sequence Amazon customer support contact intent sequence from sellers in an S3 bucket arn:aws:s3:::ascis us-west-2 S3 Bucket https://ascis.s3.us-west-2.amazonaws.com/README.md Post any questions to [re:Post](https://repost.aws/tags/questions/TApd0Wl5P8S9O6 [Amazon](https://www.amazon.com/) None https://cdla.dev/permissive-1-0/ amazon.science, machine learning, temporal point process, Hawkes Process Amazon-PQA Amazon product questions and their answers, along with the public product inform arn:aws:s3:::amazon-pqa us-east-1 S3 Bucket https://amazon-pqa.s3.amazonaws.com/readme.txt vitamin@amazon.com Amazon None https://cdla.dev/permissive-1-0/ amazon.science, natural language processing, machine learning Amazonia EO satellite on AWS Amazonia 1 imagery (COG files, quicklooks, metadata) arn:aws:s3:::brazil-eosats us-west-2 S3 Bucket http://www.inpe.br/amazonia1 https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, sustainability, disaster response, stac, cog ['[STAC V1.0.0 endpoint](https://stac.amskepler.com/v100)', '[stacindex](https://stacindex.org/catalogs/cbers)'] False -Amazonia EO satellite on AWS Notifications for new quicklooks arn:aws:sns:us-west-2:599544552497:NewAM1Quicklook us-west-2 SNS Topic http://www.inpe.br/amazonia1 https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, sustainability, disaster response, stac, cog Amazonia EO satellite on AWS Topic that receives STAC V100 items as new scenes are ingested arn:aws:sns:us-west-2:769537946825:br-eo-stac-prod-stacitemtopic4BCE3141-Z8he7LYjqXFe us-west-2 SNS Topic http://www.inpe.br/amazonia1 https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, sustainability, disaster response, stac, cog +Amazonia EO satellite on AWS Notifications for new quicklooks arn:aws:sns:us-west-2:599544552497:NewAM1Quicklook us-west-2 SNS Topic http://www.inpe.br/amazonia1 https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, sustainability, disaster response, stac, cog Amazonia EO satellite on AWS STAC static catalog arn:aws:s3:::br-eo-stac-1-0-0 us-west-2 S3 Bucket http://www.inpe.br/amazonia1 https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, sustainability, disaster response, stac, cog False -Analysis Ready Sentinel-1 Backscatter Imagery Simple Notification Service (SNS) topic for notification of new tile uploads arn:aws:sns:us-west-2:410373799403:sentinel-s1-rtc-indigo-object_created us-west-2 SNS Topic https://sentinel-s1-rtc-indigo-docs.s3-us-west-2.amazonaws.com/index.html For questions regarding data methodology or delivery, contact sentinel1@indigoag [Indigo Ag, Inc.](https://www.indigoag.com/) Data updates are paused while we repair the processing pipeline, but the target The use of these data fall under the terms and conditions of the [Indigo Atlas S agriculture, aws-pds, disaster response, earth observation, environmental, geospatial, satellite imagery, cog, stac, synthetic aperture radar Analysis Ready Sentinel-1 Backscatter Imagery Sentinel-1 RTC tiled data and metadata in a S3 bucket arn:aws:s3:::sentinel-s1-rtc-indigo us-west-2 S3 Bucket https://sentinel-s1-rtc-indigo-docs.s3-us-west-2.amazonaws.com/index.html For questions regarding data methodology or delivery, contact sentinel1@indigoag [Indigo Ag, Inc.](https://www.indigoag.com/) Data updates are paused while we repair the processing pipeline, but the target The use of these data fall under the terms and conditions of the [Indigo Atlas S agriculture, aws-pds, disaster response, earth observation, environmental, geospatial, satellite imagery, cog, stac, synthetic aperture radar ['[STAC V1.0.0 endpoint](https://scottyhq.github.io/sentinel1-rtc-stac/#/)'] +Analysis Ready Sentinel-1 Backscatter Imagery Simple Notification Service (SNS) topic for notification of new tile uploads arn:aws:sns:us-west-2:410373799403:sentinel-s1-rtc-indigo-object_created us-west-2 SNS Topic https://sentinel-s1-rtc-indigo-docs.s3-us-west-2.amazonaws.com/index.html For questions regarding data methodology or delivery, contact sentinel1@indigoag [Indigo Ag, Inc.](https://www.indigoag.com/) Data updates are paused while we repair the processing pipeline, but the target The use of these data fall under the terms and conditions of the [Indigo Atlas S agriculture, aws-pds, disaster response, earth observation, environmental, geospatial, satellite imagery, cog, stac, synthetic aperture radar Animal Tracking - Acoustic Telemetry - Quality controlled detections Cloud Optimised AODN dataset of IMOS - Animal Tracking Facility - Acoustic Track arn:aws:s3:::aodn-cloud-optimised/receiver_animal_acoustic_tagging_delayed_qc.parquet ap-southeast-2 S3 Bucket https://catalogue-imos.aodn.org.au/geonetwork/srv/eng/catalog.search#/metadata/5 info@aodn.org.au AODN As Needed http://creativecommons.org/licenses/by/4.0/ oceans, marine mammals Answer Reformulation Answer Reformulation Dataset arn:aws:s3:::answer-reformulation-pds us-west-2 S3 Bucket https://answer-reformulation-pds.s3-us-west-2.amazonaws.com/README.txt filicesf@amazon.com [Amazon](https://www.amazon.com/) Not currently being updated [cc-by-sa 4.0](https://creativecommons.org/licenses/by-sa/4.0/) amazon.science, natural language processing, machine learning -ArcticDEM ArcticDEM DEM Strips arn:aws:s3:::pgc-opendata-dems/arcticdem/strips/ us-west-2 S3 Bucket https://www.pgc.umn.edu/data/arcticdem/ pgc-support@umn.edu [Polar Geospatial Center](https://www.pgc.umn.edu/) New DEM strips are added twice yearly. Mosaic products are added as soon as the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecom aws-pds, elevation, earth observation, geospatial, mapping, open source software, satellite imagery, cog, stac ['[Browse STAC Catalog](https://polargeospatialcenter.github.io/stac-browser/#/external/pgc-opendata-dems.s3.us-west-2.amazonaws.com/arcticdem/strips.json)'] ArcticDEM ArcticDEM DEM Mosaics arn:aws:s3:::pgc-opendata-dems/arcticdem/mosaics/ us-west-2 S3 Bucket https://www.pgc.umn.edu/data/arcticdem/ pgc-support@umn.edu [Polar Geospatial Center](https://www.pgc.umn.edu/) New DEM strips are added twice yearly. Mosaic products are added as soon as the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecom aws-pds, elevation, earth observation, geospatial, mapping, open source software, satellite imagery, cog, stac ['[Browse STAC Catalog](https://polargeospatialcenter.github.io/stac-browser/#/external/pgc-opendata-dems.s3.us-west-2.amazonaws.com/arcticdem/mosaics.json)'] +ArcticDEM ArcticDEM DEM Strips arn:aws:s3:::pgc-opendata-dems/arcticdem/strips/ us-west-2 S3 Bucket https://www.pgc.umn.edu/data/arcticdem/ pgc-support@umn.edu [Polar Geospatial Center](https://www.pgc.umn.edu/) New DEM strips are added twice yearly. Mosaic products are added as soon as the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecom aws-pds, elevation, earth observation, geospatial, mapping, open source software, satellite imagery, cog, stac ['[Browse STAC Catalog](https://polargeospatialcenter.github.io/stac-browser/#/external/pgc-opendata-dems.s3.us-west-2.amazonaws.com/arcticdem/strips.json)'] Argo marine floats data and metadata from Global Data Assembly Centre (Argo GDAC) Argo GDAC data and metadata arn:aws:s3:::argo-gdac-sandbox eu-west-3 S3 Bucket http://www.argodatamgt.org/Documentation codac@ifremer.fr [Euro-Argo](https://www.euro-argo.eu/) Data is updated daily. Open data, there are no restrictions on the use of this data. https://creativeco aws-pds, climate, oceans, chemical biology, chemistry, datacenter, digital assets, geochemistry, geophysics, geoscience, marine, netcdf ['[Browse Bucket](https://argo-gdac-sandbox.s3.eu-west-3.amazonaws.com/pub/index.html#pub/)'] Argoverse Argoverse arn:aws:s3:::argoverse us-east-1 S3 Bucket https://argoverse.github.io/user-guide/ https://github.com/argoverse/av2-api/issues [Argoverse](https://argoverse.org) Infrequently [CC-BY-NC-SA-4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0.html) aws-pds, autonomous vehicles, computer vision, lidar, robotics, geospatial Aristo Mini Corpus Project data files in a public bucket arn:aws:s3:::ai2-public-datasets us-west-2 S3 Bucket https://allenai.org/data/aristo-mini info@allenai.org [Allen Institute for AI](https://allenai.org) Not updated [CC BY-SA](https://creativecommons.org/licenses/by-sa/4.0/) aws-pds, machine learning, json, csv @@ -81,15 +81,15 @@ Astrophysics Division Galaxy Morphology Benchmark Dataset NASA APD Galaxy Morpho Astrophysics Division Galaxy Segmentation Benchmark Dataset NASA APD Galaxy Sementation dataset consisting of astronomical FITS data format arn:aws:s3:::nasa-apd-galaxysegment us-west-2 S3 Bucket https://github.com/erinleeryan/nasa_astro_aiml/tree/main/galaxysegmentation Roopesh.Ojha@nasa.gov [NASA](https://osdr.nasa.gov/) No updates There are no restrictions on the use of this data. aws-pds, astronomy, machine learning, segmentation, NASA SMD AI Atmospheric Models from Météo-France Atmospheric Models from Météo-France arn:aws:s3:::mf-nwp-models eu-west-1 S3 Bucket https://mf-models-on-aws.org contact@openmeteodata.com [OpenMeteoData](https://openmeteodata.com) Every 6 hours https://mf-models-on-aws.org/en/doc/license aws-pds, agriculture, climate, disaster response, earth observation, environmental, meteorological, model, weather ['[Browse Bucket](https://mf-nwp-models.s3.amazonaws.com/index.html)'] Aurora Multi-Sensor Dataset Aurora Multi-Sensor Dataset arn:aws:s3:::pit30m us-east-1 S3 Bucket A third-party development kit authored by Andrei Bârsan of the University of Tor ams-dataset@aurora.tech Aurora Operations, Inc. This dataset is complete. This data is intended for non-commercial academic use only. It is licensed under aws-pds, autonomous vehicles, computer vision, lidar, mapping, robotics, transportation, urban, weather, traffic, image processing, machine learning, deep learning -Australasian Genomes Data files arn:aws:s3:::threatenedspecies ap-southeast-2 S3 Bucket https://awgg-lab.github.io/australasiangenomes/ soles.wildlife-genomics@sydney.edu.au [Australasian Wildlife Genomics Group at The University of Sydney](https://www.s As new genomes are produced https://threatenedspeciesinitiative.com/threatened-species-initiative-data-polic aws-pds, biology, biodiversity, conservation, genetic, genomic, life sciences, transcriptomics, wildlife ['[Browse Bucket](https://threatenedspecies.s3.ap-southeast-2.amazonaws.com/index.html)'] Australasian Genomes Data files arn:aws:s3:::koalagenomes ap-southeast-2 S3 Bucket https://awgg-lab.github.io/australasiangenomes/ soles.wildlife-genomics@sydney.edu.au [Australasian Wildlife Genomics Group at The University of Sydney](https://www.s As new genomes are produced https://threatenedspeciesinitiative.com/threatened-species-initiative-data-polic aws-pds, biology, biodiversity, conservation, genetic, genomic, life sciences, transcriptomics, wildlife ['[Browse Bucket](https://koalagenomes.s3.ap-southeast-2.amazonaws.com/index.html)'] -Automated Segmentation of Intracellular Substructures in Electron Microscopy (ASEM) on AWS Trained ML segmentation models for use in ASEM pipeline arn:aws:s3:::asem-project/models/ us-east-1 S3 Bucket https://open.quiltdata.com/b/asem-project tklab@tklab.hms.harvard.edu Kirchhausen Lab at Harvard Medical School Data is added as it becomes available All available datasets and models are licensed under a Creative Commons Attribut aws-pds, biology, cell biology, segmentation, microscopy, electron microscopy, computer vision, imaging +Australasian Genomes Data files arn:aws:s3:::threatenedspecies ap-southeast-2 S3 Bucket https://awgg-lab.github.io/australasiangenomes/ soles.wildlife-genomics@sydney.edu.au [Australasian Wildlife Genomics Group at The University of Sydney](https://www.s As new genomes are produced https://threatenedspeciesinitiative.com/threatened-species-initiative-data-polic aws-pds, biology, biodiversity, conservation, genetic, genomic, life sciences, transcriptomics, wildlife ['[Browse Bucket](https://threatenedspecies.s3.ap-southeast-2.amazonaws.com/index.html)'] Automated Segmentation of Intracellular Substructures in Electron Microscopy (ASEM) on AWS High resolution 3D cell image datasets arn:aws:s3:::asem-project/datasets/ us-east-1 S3 Bucket https://open.quiltdata.com/b/asem-project tklab@tklab.hms.harvard.edu Kirchhausen Lab at Harvard Medical School Data is added as it becomes available All available datasets and models are licensed under a Creative Commons Attribut aws-pds, biology, cell biology, segmentation, microscopy, electron microscopy, computer vision, imaging +Automated Segmentation of Intracellular Substructures in Electron Microscopy (ASEM) on AWS Trained ML segmentation models for use in ASEM pipeline arn:aws:s3:::asem-project/models/ us-east-1 S3 Bucket https://open.quiltdata.com/b/asem-project tklab@tklab.hms.harvard.edu Kirchhausen Lab at Harvard Medical School Data is added as it becomes available All available datasets and models are licensed under a Creative Commons Attribut aws-pds, biology, cell biology, segmentation, microscopy, electron microscopy, computer vision, imaging Automatic Speech Recognition (ASR) Error Robustness Datatasets with ASR Errors arn:aws:s3:::asr-error-robustness us-east-1 S3 Bucket https://github.com/anjiefang/asr-error-robustness njfn@amazon.com [Amazon](https://www.amazon.com/) N/A See https://github.com/anjiefang/asr-error-robustness amazon.science, natural language processing, deep learning, machine learning, speech recognition Baby Open Brains (BOBs) Repository on AWS BOBs Repository data arn:aws:s3:::bobsrepository us-east-2 S3 Bucket https://bobsrepository.readthedocs.io/en/latest/ Eric Feczko (feczk001@umn.edu) & Sally M. Stoyell (stoye003@umn.edu) Masonic Institute for the Developing Brain (MIDB) Open Data Initiative The repository is updated when: (1) all brain segmentations have undergone furth CC-By Attribution 4.0 International neuroimaging, magnetic resonance imaging, neuroscience, pediatric, nifti, segmentation ['[Browse Bucket](https://bobsrepository.s3.amazonaws.com/index.html)'] Basic Local Alignment Sequences Tool (BLAST) Databases BLAST databases with associated files in a public S3 bucket arn:aws:s3:::ncbi-blast-databases us-east-1 S3 Bucket https://github.com/ncbi/blast_plus_docs https://support.nlm.nih.gov/support/create-case/ [National Library of Medicine (NLM)](http://nlm.nih.gov/) Periodically """[NIH Genomic Data Sharing Policy](https://osp.od.nih.gov/scientific-sharing/gen" aws-pds, bioinformatics, biology, health, life sciences, genetic, genomic, transcriptomics, protein, reference index -Beat Acute Myeloid Leukemia (AML) 1.0 WXS/RNA-Seq Aligned Reads, WXS Annotated Somatic Mutation, WXS Raw Somatic Mutat arn:aws:s3:::gdc-beataml1-cohort-phs001657-2-controlled us-east-1 S3 Bucket https://www.cancer.gov/about-nci/organization/ccg/blog/2019/beataml dcf-support@datacommons.io [Center for Translational Data Science at The University of Chicago](https://ctd Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers month NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001657.v1.p1&phv=417530&phd=&pha=&pht=9391&phvf=&phdf=&phaf=&phtf=&dssp=1&consent=&temp=1 Beat Acute Myeloid Leukemia (AML) 1.0 BEATAML10-CRENOLANIB Clinical Supplement arn:aws:s3:::gdc-beataml1.0-crenolanib-phs001628-2-open us-east-1 S3 Bucket https://www.cancer.gov/about-nci/organization/ccg/blog/2019/beataml dcf-support@datacommons.io [Center for Translational Data Science at The University of Chicago](https://ctd Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers month NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, STRIDES +Beat Acute Myeloid Leukemia (AML) 1.0 WXS/RNA-Seq Aligned Reads, WXS Annotated Somatic Mutation, WXS Raw Somatic Mutat arn:aws:s3:::gdc-beataml1-cohort-phs001657-2-controlled us-east-1 S3 Bucket https://www.cancer.gov/about-nci/organization/ccg/blog/2019/beataml dcf-support@datacommons.io [Center for Translational Data Science at The University of Chicago](https://ctd Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers month NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001657.v1.p1&phv=417530&phd=&pha=&pht=9391&phvf=&phdf=&phaf=&phtf=&dssp=1&consent=&temp=1 Beat Acute Myeloid Leukemia (AML) 1.0 BEATAML10-COHORT RNA-Seq Gene Expression Quantification arn:aws:s3:::gdc-beataml1-cohort-phs001657-2-open us-east-1 S3 Bucket https://www.cancer.gov/about-nci/organization/ccg/blog/2019/beataml dcf-support@datacommons.io [Center for Translational Data Science at The University of Chicago](https://ctd Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers month NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, STRIDES Biodiversity Heritage Library Metadata and Page Images Image files (JPEG-2000) and associated metadata describing the image and the boo arn:aws:s3:::bhl-open-data us-east-2 S3 Bucket "Documentation can be found at ou" feedback@biodiversitylibrary.org [The Biodiversity Heritage Library](https://biodiversitylibrary.org/) Metadata is updated monthly. Images are updated weekly. Public Domain, CC0, or Creative Commons. Exact licenses are found in the related biodiversity, bioinformatics, life sciences Biological and Physical Sciences (BPS) Microscopy Benchmark Training Dataset NASA BPS Microscopy Benchmark Training Data arn:aws:s3:::nasa-bps-training-data/Microscopy/ us-west-2 S3 Bucket https://docs.google.com/document/d/e/2PACX-1vTIjUPenLxVX0stErsBbK884QMJW_Ur1mqHJ lauren.m.sanders@nasa.gov [NASA](https://osdr.nasa.gov/) New fluorescence microscopy mouse fibroblast nuclei data is added whenever it is There are no restrictions on the use of this data. aws-pds, fluorescence imaging, genetic, genetic maps, microscopy, GeneLab, NASA SMD AI @@ -99,32 +99,32 @@ BodyM Dataset This S3 bucket has height, weight, gender, measurements and two si Boreas Autonomous Driving Dataset Boreas dataset arn:aws:s3:::boreas us-west-2 S3 Bucket https://github.com/utiasASRL/pyboreas/blob/master/DATA_REFERENCE.md boreas@robotics.utias.utoronto.ca [ASRL](http://asrl.utias.utoronto.ca) New driving sequences will be added as they are collected. [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/legalcode) autonomous vehicles, robotics, computer vision, lidar, aws-pds BossDB Open Neuroimagery Datasets Large 3D volumes of neuroimaging data and image processing products such as segm arn:aws:s3:::bossdb-open-data us-east-1 S3 Bucket https://bossdb.org/ brock.wester@jhuapl.edu [Johns Hopkins University Applied Physics Laboratory](https://https://jhuapl.edu New datasets are added as soon as it is available. Minor updates on existing dat Creative Commons 4.0 International (CC BY 4.0) aws-pds, life sciences, imaging, neuroscience, neuroimaging, electron microscopy, x-ray tomography, x-ray microtomography, x-ray, magnetic resonance imaging, light-sheet microscopy, calcium imaging, volumetric imaging Broad Genome References This dataset includes two human genome references assembled by the Genome Refere arn:aws:s3:::broad-references us-east-1 S3 Bucket https://s3.amazonaws.com/broad-references/broad-references-readme.html hensonc@broadinstitute.org Broad Institute Monthly CC0 1.0 Universal (CC0 1.0) Public Domain Dedication aws-pds, biology, bioinformatics, cancer, genetic, genomic, life sciences, reference index, Homo sapiens -CAFE60 reanalysis CSIRO Climate retrospective Analysis and Forecast Ensemble system: version 1 (CA arn:aws:s3:::cafe60-reanalysis-dataset-aws-open-data ap-southeast-2 S3 Bucket https://data.csiro.au/dap/ws/v2/collections/49803/support/4029 Terence.O'Kane@csiro.au [CSIRO](http://csiro.au/) 6 Monthly (Approx) Creative Commons Attribution-ShareAlike 4.0 International Licence aws-pds, climate, sustainability ['[Browse Bucket](https://cafe60-reanalysis-dataset-aws-open-data.s3.amazonaws.com/index.html)'] CAFE60 reanalysis Notifications for updates to data arn:aws:sns:ap-southeast-2:970429975021:Cafe60-Data-Changes ap-southeast-2 SNS Topic https://data.csiro.au/dap/ws/v2/collections/49803/support/4029 Terence.O'Kane@csiro.au [CSIRO](http://csiro.au/) 6 Monthly (Approx) Creative Commons Attribution-ShareAlike 4.0 International Licence aws-pds, climate, sustainability +CAFE60 reanalysis CSIRO Climate retrospective Analysis and Forecast Ensemble system: version 1 (CA arn:aws:s3:::cafe60-reanalysis-dataset-aws-open-data ap-southeast-2 S3 Bucket https://data.csiro.au/dap/ws/v2/collections/49803/support/4029 Terence.O'Kane@csiro.au [CSIRO](http://csiro.au/) 6 Monthly (Approx) Creative Commons Attribution-ShareAlike 4.0 International Licence aws-pds, climate, sustainability ['[Browse Bucket](https://cafe60-reanalysis-dataset-aws-open-data.s3.amazonaws.com/index.html)'] CAM6 Data Assimilation Research Testbed (DART) Reanalysis: Cloud-Optimized Dataset Project data files arn:aws:s3:::ncar-dart-cam6 us-west-2 S3 Bucket https://doi.org/10.26024/sprq-2d04 rdahelp@ucar.edu [National Center for Atmospheric Research](https://ncar.ucar.edu/) Rare. Additional variables or years outside of 2011-2019 may be added in the fu https://www.ucar.edu/terms-of-use/data atmosphere, land, climate, climate model, data assimilation, forecast, meteorological, weather, geoscience, geospatial, aws-pds, zarr CAncer MEtastases in LYmph nOdes challeNge (CAMELYON) Dataset Whole slide images with corresponding annotations including tumor, stroma and tu arn:aws:s3:::camelyon-dataset us-west-2 S3 Bucket https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6007545/ https://camelyon17.grand-challenge.org/ Radboud University Medical Center As required CC0 aws-pds, life sciences, cancer, computational pathology, grand-challenge.org, histopathology, deep learning, computer vision CBERS on AWS Topic that receives STAC V100 items as new scenes are ingested arn:aws:sns:us-west-2:769537946825:br-eo-stac-prod-stacitemtopic4BCE3141-Z8he7LYjqXFe us-west-2 SNS Topic https://github.com/fredliporace/cbers-on-aws https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, disaster response, stac, cog +CBERS on AWS Notifications for new CBERS 4 quicklooks, all sensors arn:aws:sns:us-west-2:599544552497:NewCB4Quicklook us-west-2 SNS Topic https://github.com/fredliporace/cbers-on-aws https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, disaster response, stac, cog CBERS on AWS CBERS imagery (COG files, quicklooks, metadata) arn:aws:s3:::brazil-eosats us-west-2 S3 Bucket https://github.com/fredliporace/cbers-on-aws https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, disaster response, stac, cog ['[STAC V1.0.0 endpoint](https://stac.amskepler.com/v100)', '[stacindex](https://stacindex.org/catalogs/cbers)'] False CBERS on AWS STAC static catalog arn:aws:s3:::br-eo-stac-1-0-0 us-west-2 S3 Bucket https://github.com/fredliporace/cbers-on-aws https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, disaster response, stac, cog False CBERS on AWS Notifications for new CBERS 4A quicklooks, all sensors arn:aws:sns:us-west-2:599544552497:NewCB4AQuicklook us-west-2 SNS Topic https://github.com/fredliporace/cbers-on-aws https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, disaster response, stac, cog -CBERS on AWS Notifications for new CBERS 4 quicklooks, all sensors arn:aws:sns:us-west-2:599544552497:NewCB4Quicklook us-west-2 SNS Topic https://github.com/fredliporace/cbers-on-aws https://lists.osgeo.org/mailman/listinfo/cbers-pds [AMS Kepler](https://amskepler.com/) Daily https://creativecommons.org/licenses/by-sa/3.0/ aws-pds, agriculture, earth observation, geospatial, imaging, satellite imagery, disaster response, stac, cog CCAFS-Climate Data ARC GRID, and ARC ASCII format compressed arn:aws:s3:::cgiardata us-west-2 S3 Bucket http://www.ccafs-climate.org http://www.ccafs-climate.org/contact/ [International Center for Tropical Agriculture](https://ciat.cgiar.org/) Every three months Creative Commons Attribution-NonCommercial 4.0 International License http://crea aws-pds, agriculture, food security, climate, sustainability CESM-HR CESM-HR PI-CTRL data arn:aws:s3:::cesm-hr-pi-ctrl us-east-1 S3 Bucket https://github.com/MESACLIP/cesm-hr-pi-ctrl-aws ping@tamu.edu [TAMU](https://www.tamu.com/) Rare. The CESM-HR PI-CTRL experiment is complete. Updates are expected only if a This dataset is created in collaboration with NCAR and the NCAR’s “Creative Comm aws-pds, climate, climate model, climate projections, CMIP6, ocean circulation, ocean currents, ocean velocity, ocean sea surface height, ocean simulation ['[Browse Bucket](http://pi-ctrl-bucket.s3-website.us-east-2.amazonaws.com)'] CIViC (Clinical Interpretation of Variants in Cancer) Monthly CIViC data dumps including gene, variant, assertion, and evidence tables arn:aws:s3:::civic-aws-opendata us-west-2 S3 Bucket https://docs.civicdb.org/ help@civicdb.org The McDonnell Genome Institute at Washington University School of Medicine First of each month [CC0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, genetic, genomic, life sciences, vcf -CMAS Data Warehouse 2018v2 Modeling Platform arn:aws:s3:::2018v2platform us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://2018v2platform.s3.amazonaws.com/index.html)'] -CMAS Data Warehouse CMAQ Release Benchmark Data for Easy Download arn:aws:s3:::cmaq-release-benchmark-data-for-easy-download us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmaq-release-benchmark-data-for-easy-download.s3.amazonaws.com/index.html)'] CMAS Data Warehouse CMAQ CONUS-2 Benchmark Data arn:aws:s3:::cmas-cmaq-conus2-benchmark us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-cmaq-conus2-benchmark.s3.amazonaws.com/index.html)'] +CMAS Data Warehouse CMAQ Release Benchmark Data for Easy Download arn:aws:s3:::cmaq-release-benchmark-data-for-easy-download us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmaq-release-benchmark-data-for-easy-download.s3.amazonaws.com/index.html)'] CMAS Data Warehouse MPAS-CMAQ Input Data arn:aws:s3:::mpas-cmaq us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://mpas-cmaq.s3.amazonaws.com/index.html)'] CMAS Data Warehouse CMAQ Benchmark Data arn:aws:s3:::cmas-cmaq us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-cmaq.s3.amazonaws.com/index.html)'] +CMAS Data Warehouse AMET Data arn:aws:s3:::cmas-amet us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-amet.s3.amazonaws.com/index.html)'] +CMAS Data Warehouse CMAQ 2018 Modeling Platform arn:aws:s3:::cmas-cmaq-modeling-platform-2018 us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-cmaq-modeling-platform-2018.s3.amazonaws.com/index.html)'] +CMAS Data Warehouse EQUATES EPA’s Air QUAlity TimE Series Project Data arn:aws:s3:::cmas-equates us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-equates.s3.amazonaws.com/index.html)'] CMAS Data Warehouse SMOKE 2016 Modeling Platform arn:aws:s3:::cmas-smoke-modeling-platform-2016 us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-smoke-modeling-platform-2016.s3.amazonaws.com/index.html)'] +CMAS Data Warehouse 2020 Modeling Platform arn:aws:s3:::2020platform us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://2020platform.s3.amazonaws.com/index.html)'] CMAS Data Warehouse 2019 Modeling Platform arn:aws:s3:::2019platform us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://2019platform.s3.amazonaws.com/index.html)'] -CMAS Data Warehouse AMET Data arn:aws:s3:::cmas-amet us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-amet.s3.amazonaws.com/index.html)'] CMAS Data Warehouse SMOKE Test Case arn:aws:s3:::cmas-smoke-testcase us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-smoke-testcase.s3.amazonaws.com/index.html)'] CMAS Data Warehouse 2016v3 Modeling Platform arn:aws:s3:::2016v3platform us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://2016v3platform.s3.amazonaws.com/index.html)'] CMAS Data Warehouse CMAS WWLLN Lightning Data arn:aws:s3:::cmas-wwlln-lightning us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-wwlln-lightning.s3.amazonaws.com/index.html)'] -CMAS Data Warehouse EQUATES EPA’s Air QUAlity TimE Series Project Data arn:aws:s3:::cmas-equates us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-equates.s3.amazonaws.com/index.html)'] -CMAS Data Warehouse CMAQ 2018 Modeling Platform arn:aws:s3:::cmas-cmaq-modeling-platform-2018 us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://cmas-cmaq-modeling-platform-2018.s3.amazonaws.com/index.html)'] -CMAS Data Warehouse 2020 Modeling Platform arn:aws:s3:::2020platform us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://2020platform.s3.amazonaws.com/index.html)'] +CMAS Data Warehouse 2018v2 Modeling Platform arn:aws:s3:::2018v2platform us-east-1 S3 Bucket https://dataverse.unc.edu/dataverse/cmascenter cmas@unc.edu [CMAS CENTER](https://cmascenter.org/) New data is added as soon as it is available. There are no restrictions on the use of this data. US EPA License (https://paste aws-pds, air quality, meteorological, geospatial, environmental, climate ['[Browse Bucket](https://2018v2platform.s3.amazonaws.com/index.html)'] CMIP6 GCMs downscaled using WRF WRF output files arn:aws:s3:::wrf-cmip6-noversioning us-west-2 S3 Bucket https://dept.atmos.ucla.edu/alexhall/downscaling-cmip6 srahimi@uwyo.edu, leih@ucla.edu [UCLA Center for Climate Science](https://dept.atmos.ucla.edu/) New downscaled results are uploaded as soon as they become available Creative Commons Attribution 4.0 International License aws-pds, agriculture, atmosphere, climate, earth observation, environmental, model, oceans, simulations, weather ['[Browse Bucket](https://wrf-cmip6-noversioning.s3.amazonaws.com/index.html)'] CMS 2008-2010 Data Entrepreneurs’ Synthetic Public Use File (DE-SynPUF) in OMOP Common Data Model Project data files arn:aws:s3:::synpuf-omop us-east-1 S3 Bucket https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use Post any questions to [re:Post](https://repost.aws/tags/questions/TApd0Wl5P8S9O6 [Amazon Web Sevices](https://aws.amazon.com/) Not updated https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use amazon.science, bioinformatics, health, life sciences, natural language processing, us COBRA Whole slide images with corresponding labels including skin cancer and basal cel arn:aws:s3:::cobra-pathology us-west-2 S3 Bucket https://daangeijs.github.io/cobra/ https://www.computationalpathologygroup.eu/members/daan-geijs/ Radboud University Medical Center As required CC BY-SA-NC 4.0 aws-pds, life sciences, cancer, computational pathology, deep learning, histopathology, computer vision @@ -144,8 +144,8 @@ Cancer Genome Characterization Initiatives - Burkitt Lymphoma, HIV+ Cervical Can Capella Space Synthetic Aperture Radar (SAR) Open Dataset Capella Space Open Data in COG format arn:aws:s3:::capella-open-data/data/ us-west-2 S3 Bucket Documentation is available under [support.capellaspace.com](https://support.cape opendata@capellaspace.com [Capella Space](https://www.capellaspace.com/) New data is added quarterly. [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) aws-pds, cog, stac, earth observation, satellite imagery, geospatial, image processing, computer vision, synthetic aperture radar ['[STAC Catalog](https://capella-open-data.s3.us-west-2.amazonaws.com/stac/catalog.json)', '[STAC Browser](https://radiantearth.github.io/stac-browser/#/external/capella-open-data.s3.us-west-2.amazonaws.com/stac/catalog.json)'] False Capella Space Synthetic Aperture Radar (SAR) Open Dataset Capella Space Open Data in TileDB format arn:aws:s3:::capella-open-data/data/tiledb/ us-west-2 S3 Bucket Documentation is available under [support.capellaspace.com](https://support.cape opendata@capellaspace.com [Capella Space](https://www.capellaspace.com/) New data is added quarterly. [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) aws-pds, cog, stac, earth observation, satellite imagery, geospatial, image processing, computer vision, synthetic aperture radar False Catalina Sky Survey (CSS) subset data on AWS Catalina Sky Survey Raw Data arn:aws:s3:::pds-css-archive us-west-2 S3 Bucket https://sbn.psi.edu/pds/resource/css.html pds-operator@jpl.nasa.gov [Planetary Data Systems Small Bodies Node (SBN)](https://sbn.psi.edu/pds/support CSS data are delivered nightly into the PDS archive starting with the night of J There are no restrictions on the use of this data. aws-pds, planetary, astronomy, object detection, survey ['[Browse archive](https://sbnarchive.psi.edu/pds4/surveys/gbo.ast.catalina.survey/data_raw/V06/2023/23Jul15/)'] -Cell Organelle Segmentation in Electron Microscopy (COSEM) on AWS Raw FIB-SEM datasets and derived data arn:aws:s3:::janelia-cosem-datasets us-east-1 S3 Bucket https://github.com/janelia-cosem/aws-opendata/blob/master/cosem-introduction.md COSEMData@janelia.hhmi.org [Janelia Research Campus](https://www.janelia.org/) New datasets and derived data are added as soon as they are available. CC-BY-4.0 aws-pds, cell biology, computer vision, electron microscopy, life sciences, imaging, organelle Cell Organelle Segmentation in Electron Microscopy (COSEM) on AWS Machine learning models for organelle prediction arn:aws:s3:::janelia-cosem-networks us-east-1 S3 Bucket https://github.com/janelia-cosem/aws-opendata/blob/master/cosem-introduction.md COSEMData@janelia.hhmi.org [Janelia Research Campus](https://www.janelia.org/) New datasets and derived data are added as soon as they are available. CC-BY-4.0 aws-pds, cell biology, computer vision, electron microscopy, life sciences, imaging, organelle +Cell Organelle Segmentation in Electron Microscopy (COSEM) on AWS Raw FIB-SEM datasets and derived data arn:aws:s3:::janelia-cosem-datasets us-east-1 S3 Bucket https://github.com/janelia-cosem/aws-opendata/blob/master/cosem-introduction.md COSEMData@janelia.hhmi.org [Janelia Research Campus](https://www.janelia.org/) New datasets and derived data are added as soon as they are available. CC-BY-4.0 aws-pds, cell biology, computer vision, electron microscopy, life sciences, imaging, organelle Cell Painting Gallery Cell Painting data, comprising fluorescence microscopy cell images (TIFF), extra arn:aws:s3:::cellpainting-gallery us-east-1 S3 Bucket https://github.com/broadinstitute/cellpainting-gallery cellpainting@broadinstitute.org Carpenter-Singh and Cimini Labs at the Broad Institute Typically when an associated publication is posted on biorxiv CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, but please do cite the cor aws-pds, bioinformatics, biology, cancer, cell biology, cell imaging, cell painting, chemical biology, computer vision, csv, deep learning, fluorescence imaging, genetic, high-throughput imaging, image processing, image-based profiling, imaging, machine learning, medicine, microscopy, organelle ['[Documentation](https://github.com/broadinstitute/cellpainting-gallery)', '[Browse Bucket](https://cellpainting-gallery.s3.amazonaws.com/index.html)'] Cell Painting Image Collection Images, extracted features and aggregated profiles are available as a S3 bucket arn:aws:s3:::cytodata us-east-1 S3 Bucket https://github.com/cytodata/cytodata-hackathon-2018 "Post on https://forum.image.sc/ and tag with ""cellpainting""" The Broad Institute irregularly CC0 1.0 Universal (CC0 1.0) Public Domain Dedication aws-pds, microscopy, biology, life sciences, imaging, high-throughput imaging, cell imaging, cell painting, fluorescence imaging Central Weather Administration OpenData CWA data lake arn:aws:s3:::cwaopendata ap-northeast-1 S3 Bucket https://opendata.cwa.gov.tw/devManual/insrtuction od@cwa.gov.tw [Central Weather Administration](https://www.cwa.gov.tw/) Data is updated as soon as newer one is available. http://data.gov.tw/license aws-pds, climate, earth observation, earthquakes, satellite imagery, weather @@ -166,73 +166,73 @@ Common Screens Cloudfront CDN distribution for hotlinking screenshots us-west-2 Community Earth System Model Large Ensemble (CESM LENS) Project data files arn:aws:s3:::ncar-cesm-lens us-west-2 S3 Bucket https://doi.org/10.26024/wt24-5j82 rdahelp@ucar.edu [National Center for Atmospheric Research](https://ncar.ucar.edu/) Rare. The LENS experiment is complete, but we may occasionally copy additional f https://www.ucar.edu/terms-of-use/data climate, model, climate model, atmosphere, oceans, land, ice, geospatial, aws-pds, sustainability, zarr Community Earth System Model v2 ARISE (CESM2 ARISE) Project data files arn:aws:s3:::ncar-cesm2-arise us-east-2 S3 Bucket (https://github.com/NCAR/CESM2-ARISE) opendata-aws-arise@ucar.edu [National Center for Atmospheric Research](https://ncar.ucar.edu/) Rare once complete (August 2022) https://www.ucar.edu/terms-of-use/data climate, model, climate model, atmosphere, oceans, land, ice, geospatial, aws-pds, sustainability ['[Browse Bucket](https://ncar-cesm2-arise.s3.amazonaws.com/index.html)'] Community Earth System Model v2 Large Ensemble (CESM2 LENS) Project data files arn:aws:s3:::ncar-cesm2-lens us-west-2 S3 Bucket https://doi.org/10.26024/y48t-q717 rdahelp@ucar.edu [National Center for Atmospheric Research](https://ncar.ucar.edu/) Rare. The LENS experiment is complete, but we may occasionally copy additional f https://www.ucar.edu/terms-of-use/data climate, model, climate model, atmosphere, oceans, land, ice, geospatial, aws-pds, sustainability, zarr -Community Multiscale Air Quality (CMAQ) 2019 3D Gridded and Column data from the EPA's Air Quality Time Series (EQUATES) Project Notifications for EQUATES bucket arn:aws:sns:us-east-1:127085394039:epa-equates-v1-object_created us-east-1 SNS Topic EQUATES data DOI: https://doi.org/10.15139/S3/F2KJSK. Please see the Data Use St CMAQ_Team@epa.gov U.S. Environmental Protection Agency, Office of Research and Development, Center Annual These datasets are products of the U.S. Government and are intended for public a aws-pds, air quality, atmosphere, model Community Multiscale Air Quality (CMAQ) 2019 3D Gridded and Column data from the EPA's Air Quality Time Series (EQUATES) Project The 2019 CMAQ output are stored as compressed netcdf/hdf5 formatted files using arn:aws:s3:::epa-equates-v1 us-east-1 S3 Bucket EQUATES data DOI: https://doi.org/10.15139/S3/F2KJSK. Please see the Data Use St CMAQ_Team@epa.gov U.S. Environmental Protection Agency, Office of Research and Development, Center Annual These datasets are products of the U.S. Government and are intended for public a aws-pds, air quality, atmosphere, model ['[Browse Bucket](https://epa-equates-v1.s3.amazonaws.com/index.html)'] +Community Multiscale Air Quality (CMAQ) 2019 3D Gridded and Column data from the EPA's Air Quality Time Series (EQUATES) Project Notifications for EQUATES bucket arn:aws:sns:us-east-1:127085394039:epa-equates-v1-object_created us-east-1 SNS Topic EQUATES data DOI: https://doi.org/10.15139/S3/F2KJSK. Please see the Data Use St CMAQ_Team@epa.gov U.S. Environmental Protection Agency, Office of Research and Development, Center Annual These datasets are products of the U.S. Government and are intended for public a aws-pds, air quality, atmosphere, model Conformational Space of Short Peptides Penta-peptides All possible 3200000 penta-peptides, no replicas File types: t arn:aws:s3:::toyokounqpeptides/5pep/ us-west-2 S3 Bucket https://github.com/ToyokoLabs/SBG/blob/master/README.md awsopendata@toyoko.io [Toyoko](https://www.toyoko.io/) Not updated CC-BY 4.0 See https://github.com/ToyokoLabs/SBG/blob/master/LICENSE aws-pds, amino acid, bioinformatics, biomolecular modeling, molecular dynamics, protein, structural biology, life sciences Conformational Space of Short Peptides Tri-peptides All possible 8000 tri-peptides, 2 replicas File types: Amber out arn:aws:s3:::toyokounqpeptides/tripep/ us-west-2 S3 Bucket https://github.com/ToyokoLabs/SBG/blob/master/README.md awsopendata@toyoko.io [Toyoko](https://www.toyoko.io/) Not updated CC-BY 4.0 See https://github.com/ToyokoLabs/SBG/blob/master/LICENSE aws-pds, amino acid, bioinformatics, biomolecular modeling, molecular dynamics, protein, structural biology, life sciences Consented Activities of People The Consented Activities of People (CAP) dataset is a fine grained activity data arn:aws:s3:::consented-activities-of-people/train/ us-west-2 S3 Bucket https://visym.github.io/cap info@visym.com [Visym Labs](https://visym.com) Not updated Creative Commons Attribution 4.0 International (CC BY 4.0). Every subject in thi video, computer vision, aws-pds, machine learning, labeled, privacy, activity recognition, activity detection Copernicus Digital Elevation Model (DEM) GLO-30 Public in S3 bucket The list of tiles covering specific countries that a arn:aws:s3:::copernicus-dem-30m eu-central-1 S3 Bucket https://copernicus-dem-30m.s3.amazonaws.com/readme.html https://forum.sentinel-hub.com/c/aws-copdem/28 [Sinergise](https://www.sinergise.com/) None, except GLO-30 Public can be updated if the public tile list changes. GLO-30 Public and GLO-90 are available on a free basis for the general public un aws-pds, agriculture, elevation, earth observation, satellite imagery, geospatial, disaster response, cog ['[STAC V1.0.0 endpoint](https://copernicus-dem-30m-stac.s3.amazonaws.com/)'] Copernicus Digital Elevation Model (DEM) GLO-90 in S3 bucket arn:aws:s3:::copernicus-dem-90m eu-central-1 S3 Bucket https://copernicus-dem-30m.s3.amazonaws.com/readme.html https://forum.sentinel-hub.com/c/aws-copdem/28 [Sinergise](https://www.sinergise.com/) None, except GLO-30 Public can be updated if the public tile list changes. GLO-30 Public and GLO-90 are available on a free basis for the general public un aws-pds, agriculture, elevation, earth observation, satellite imagery, geospatial, disaster response, cog ['[STAC V1.0.0 endpoint](https://copernicus-dem-90m-stac.s3.amazonaws.com/)'] Corn Kernel Counting Dataset Folder contains the terms of use, paper, and zip file of data in COOC format Ea arn:aws:s3:::intelinair-data-releases/corn-kernel-counting us-east-1 S3 Bucket https://www.frontiersin.org/articles/10.3389/frobt.2021.627009/abstract support@intelinair.com Intelinair, Inc. Periodically Provided in the bucket. aws-pds, agriculture, computer vision, machine learning False -Coupled Model Intercomparison Project 6 Netcdf formatted data managed by the Earth System Grid Federation arn:aws:s3:::esgf-world us-east-2 S3 Bucket https://pangeo-data.github.io/pangeo-cmip6-cloud/, https://www.wcrp-climate.org/ If you have any feedback on the CMIP6 data available on AWS please email sustain ESGF and Pangeo Core CMIP6 datasets are added as soon as they are available. See [docs] (https://pangeo-data.github.io/pangeo-cmip6-cloud/licensing_citation. aws-pds, agriculture, atmosphere, climate, earth observation, environmental, model, oceans, simulations, weather ['[Browse Bucket](https://esgf-world.s3.amazonaws.com/index.html)', '[Data Catalog](https://cmip6-nc.s3.amazonaws.com/esgf-world.csv.gz)'] Coupled Model Intercomparison Project 6 Zarr formatted data arn:aws:s3:::cmip6-pds us-west-2 S3 Bucket https://pangeo-data.github.io/pangeo-cmip6-cloud/, https://www.wcrp-climate.org/ If you have any feedback on the CMIP6 data available on AWS please email sustain ESGF and Pangeo Core CMIP6 datasets are added as soon as they are available. See [docs] (https://pangeo-data.github.io/pangeo-cmip6-cloud/licensing_citation. aws-pds, agriculture, atmosphere, climate, earth observation, environmental, model, oceans, simulations, weather ['[Browse Bucket](https://cmip6-pds.s3.amazonaws.com/index.html#CMIP6/)', '[Data Catalog](https://cmip6-pds.s3.amazonaws.com/pangeo-cmip6.csv)'] +Coupled Model Intercomparison Project 6 Netcdf formatted data managed by the Earth System Grid Federation arn:aws:s3:::esgf-world us-east-2 S3 Bucket https://pangeo-data.github.io/pangeo-cmip6-cloud/, https://www.wcrp-climate.org/ If you have any feedback on the CMIP6 data available on AWS please email sustain ESGF and Pangeo Core CMIP6 datasets are added as soon as they are available. See [docs] (https://pangeo-data.github.io/pangeo-cmip6-cloud/licensing_citation. aws-pds, agriculture, atmosphere, climate, earth observation, environmental, model, oceans, simulations, weather ['[Browse Bucket](https://esgf-world.s3.amazonaws.com/index.html)', '[Data Catalog](https://cmip6-nc.s3.amazonaws.com/esgf-world.csv.gz)'] Coupled Model Intercomparison Project Phase 5 (CMIP5) University of Wisconsin-Madison Probabilistic Downscaling Dataset Data files arn:aws:s3:::noaa-nws-uwpd-cmip5-pds us-east-1 S3 Bucket http://djlorenz.github.io/downscaling2/main.html For questions about data development, quality and content, please contact Dr. Da [NOAA](http://www.noaa.gov/) Periodically, as new data becomes available or when corrections are implemented. Open Data. There are no restrictions on the use of this data. aws-pds, climate, coastal, disaster response, environmental, meteorological, sustainability, oceans, water, weather ['[Browse Bucket](https://noaa-nws-uwpd-cmip5-pds.s3.amazonaws.com/index.html)'] CoversBR metadata of songs, features files and audio streaming arn:aws:s3:::covers-song-br us-west-2 S3 Bucket https://github.com/SPLab-IT/CoversBR https://github.com/SPLab-IT/CoversBR/issues Dirceu G Silva New metadata, songs features files and audio streamings for live song identifica The code in this repository is licensed under Apache 2.0The metadata and the pre aws-pds, copyright monitoring, cover song identification, live song identification, music, music features dataset, music information retrieval, music recognition Covid Job Impacts - US Hiring Data Since March 1 2020 GreenwichHR daily US hiring data (normalized to March 1 2020) arn:aws:s3:::greenwichhr-covidjobimpacts us-east-2 S3 Bucket https://greenwichhr-covidjobimpacts.s3.us-east-2.amazonaws.com/ghr_data_specs_co info@Greenwich.HR [Greenwich.HR](http://www.greenwich.hr/) Daily This data is made available under a [Creative Commons license](https://creativec aws-pds, COVID-19, hiring, economics, financial markets, market data Crowdsourced Bathymetry Crowdsourced bathymetry data arn:aws:s3:::noaa-dcdb-bathymetry-pds us-east-1 S3 Bucket https://noaa-dcdb-bathymetry-pds.s3.amazonaws.com/docs/readme.html mb.info@noaa.gov [NOAA](http://www.noaa.gov/) New data is added once a week. There are no restrictions on the use of this data. aws-pds, earth observation, oceans ['[Browse Bucket](https://noaa-dcdb-bathymetry-pds.s3.amazonaws.com/index.html)'] Crowdsourced Bathymetry Notifications for CSB data arn:aws:sns:us-east-1:709902155096:NewDCDBBathymetryObject us-east-1 SNS Topic https://noaa-dcdb-bathymetry-pds.s3.amazonaws.com/docs/readme.html mb.info@noaa.gov [NOAA](http://www.noaa.gov/) New data is added once a week. There are no restrictions on the use of this data. aws-pds, earth observation, oceans -CryoET Data Portal CryoET Data Portal arn:aws:s3:::cryoet-data-portal-public us-west-2 S3 Bucket https://chanzuckerberg.github.io/cryoet-data-portal/cryoet_data_portal_docsite_q cryoetdataportal@chanzuckerberg.com [Chan Zuckerberg Initiative Foundation](http://www.chanzuckerberg.com/) New releases are published on a rolling basis. Please contact the team via email CC0 cryo electron tomography, electron tomography, cell biology, structural biology, machine learning, segmentation, czi ['[Website](https://cryoetdataportal.czscience.com/)'] CryoET Data Portal Globally cached distribution of the CryoET Data Portal dataset us-west-2 CloudFront Distribution https://chanzuckerberg.github.io/cryoet-data-portal/cryoet_data_portal_docsite_q cryoetdataportal@chanzuckerberg.com [Chan Zuckerberg Initiative Foundation](http://www.chanzuckerberg.com/) New releases are published on a rolling basis. Please contact the team via email CC0 cryo electron tomography, electron tomography, cell biology, structural biology, machine learning, segmentation, czi https://files.cryoetdataportal.cziscience.com +CryoET Data Portal CryoET Data Portal arn:aws:s3:::cryoet-data-portal-public us-west-2 S3 Bucket https://chanzuckerberg.github.io/cryoet-data-portal/cryoet_data_portal_docsite_q cryoetdataportal@chanzuckerberg.com [Chan Zuckerberg Initiative Foundation](http://www.chanzuckerberg.com/) New releases are published on a rolling basis. Please contact the team via email CC0 cryo electron tomography, electron tomography, cell biology, structural biology, machine learning, segmentation, czi ['[Website](https://cryoetdataportal.czscience.com/)'] DARPA Invisible Headlights Dataset Various types of multispectral, hyperspectral, polarimetric, and broadband image arn:aws:s3:::ihdataset-01 us-east-2 S3 Bucket https://www.kitware.com/darpa-headlights-dataset/ ihdataset-aws@kitware.com [Kitware](http://www.kitware.com/) No updates anticipated at this time. This work is licensed under CC BY 4.0. This dataset was developed with funding f aws-pds, autonomous vehicles, broadband, computer vision, lidar, machine learning, segmentation, us -DIWASA Rainfed and Irrigated Cropland Map for Africa Cropland partitioning all data arn:aws:s3:::iwmi-datasets/Cropland_partition/ af-south-1 S3 Bucket https://github.com/iwmiwaplus/ODR/tree/master/Partitioned%20Croplands iwmiwaplus@gmail.com [IWMI](https://www.iwmi.cgiar.org/) None There are no restrictions on the use of this data. cropland partitioning, irrigated cropland, rainfed cropland, agriculture, land use, land cover ['[Browse Bucket](https://iwmi-datasets.s3.af-south-1.amazonaws.com/Cropland_partition/index.html)'] DIWASA Rainfed and Irrigated Cropland Map for Africa high-confidence cropland map (HCCM) arn:aws:s3:::iwmi-datasets/Cropland_partition/HCCM/ af-south-1 S3 Bucket https://github.com/iwmiwaplus/ODR/tree/master/Partitioned%20Croplands iwmiwaplus@gmail.com [IWMI](https://www.iwmi.cgiar.org/) None There are no restrictions on the use of this data. cropland partitioning, irrigated cropland, rainfed cropland, agriculture, land use, land cover ['[Browse Bucket](https://iwmi-datasets.s3.af-south-1.amazonaws.com/Cropland_partition/index.html)'] +DIWASA Rainfed and Irrigated Cropland Map for Africa Cropland partitioning all data arn:aws:s3:::iwmi-datasets/Cropland_partition/ af-south-1 S3 Bucket https://github.com/iwmiwaplus/ODR/tree/master/Partitioned%20Croplands iwmiwaplus@gmail.com [IWMI](https://www.iwmi.cgiar.org/) None There are no restrictions on the use of this data. cropland partitioning, irrigated cropland, rainfed cropland, agriculture, land use, land cover ['[Browse Bucket](https://iwmi-datasets.s3.af-south-1.amazonaws.com/Cropland_partition/index.html)'] DNAStack COVID19 SRA Data SARS-CoV-2 raw sequencing and output data (FASTQ, BAM, FASTA, VCF) arn:aws:s3:::dnastack-covid-19-sra-data us-west-2 S3 Bucket https://github.com/DNAstack/dnastack-open-data [DNAstack](bioinformatics@dnastack.com) [DNAstack](https://dnastack.com/) Rolling [DNAstack terms of use](https://dnastack.com/terms-of-use/) aws-pds, bam, bioinformatics, coronavirus, COVID-19, fasta, fastq, global, genetic, genomic, health, life sciences, long read sequencing, SARS-CoV-2, vcf, virus, whole genome sequencing ['[Browse bucket](https://dnastack-covid-19-sra-data.s3.amazonaws.com/)'] False -DOE's Water Power Technology Office's (WPTO) US Wave dataset 32 Year Wave Hindcast (1979-2010) for the Atlantic Coast of the United States at arn:aws:s3:::wpto-pds-us-wave/v1.0.0/Atlantic/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FAtlantic%2F)'] -DOE's Water Power Technology Office's (WPTO) US Wave dataset 32 Year Wave Hindcast (1979-2010) for the Pacific Ocean around US state of Hawai arn:aws:s3:::wpto-pds-us-wave/v1.0.0/Hawaii/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FHawaii%2F)'] DOE's Water Power Technology Office's (WPTO) US Wave dataset 32 Year Wave Hindcast (1979-2010) for the West Coast of the United States at 3-h arn:aws:s3:::wpto-pds-us-wave/v1.0.0/West_Coast/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FWest_Coast%2F)'] +DOE's Water Power Technology Office's (WPTO) US Wave dataset 32 Year Wave Hindcast (1979-2010) for the Atlantic Coast of the United States at arn:aws:s3:::wpto-pds-us-wave/v1.0.0/Atlantic/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FAtlantic%2F)'] +DOE's Water Power Technology Office's (WPTO) US Wave dataset 32 Year Wave Hindcast (1979-2010) from select virtual buoys along the West Coast arn:aws:s3:::wpto-pds-us-wave/v1.0.0/virtual_buoy/West_Coast/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2Fvirtual_buoy%2FWest_Coast%2F)'] DOE's Water Power Technology Office's (WPTO) US Wave dataset HSDS US Wave domains arn:aws:s3:::nrel-pds-hsds/nrel/US_wave/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=nrel-pds-hsds&prefix=nrel%2FUS_wave%2F)'] DOE's Water Power Technology Office's (WPTO) US Wave dataset DOE's Water Power Technology Office's Wave Hindcast datasets arn:aws:s3:::wpto-pds-us-wave/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave)'] DOE's Water Power Technology Office's (WPTO) US Wave dataset HSDS US Virtual Buoy domains arn:aws:s3:::nrel-pds-hsds/nrel/US_wave/virtual_buoy/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=nrel-pds-hsds&prefix=nrel%2FUS_wave%2Fvirtual_buoy%2F)'] -DOE's Water Power Technology Office's (WPTO) US Wave dataset 32 Year Wave Hindcast (1979-2010) from select virtual buoys along the West Coast arn:aws:s3:::wpto-pds-us-wave/v1.0.0/virtual_buoy/West_Coast/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2Fvirtual_buoy%2FWest_Coast%2F)'] +DOE's Water Power Technology Office's (WPTO) US Wave dataset 32 Year Wave Hindcast (1979-2010) for the Pacific Ocean around US state of Hawai arn:aws:s3:::wpto-pds-us-wave/v1.0.0/Hawaii/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2FHawaii%2F)'] DOE's Water Power Technology Office's (WPTO) US Wave dataset 32 Year Wave Hindcast (1979-2010) from select virtual buoys along the Atlantic C arn:aws:s3:::wpto-pds-us-wave/v1.0.0/virtual_buoy/Atlantic/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/blob/master/US_Wave.md Levi.Kilcher@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed https://github.com/openEDI/documentation/blob/master/US_Wave.md aws-pds, earth observation, energy, geospatial, meteorological, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=wpto-pds-us-wave&prefix=v1.0.0%2Fvirtual_buoy%2FAtlantic%2F)'] Daylight Map Distribution of OpenStreetMap New OSM PBF Notification arn:aws:sns:us-west-1:632571768781:Daylight us-west-1 SNS Topic [Project Website](https://daylightmap.org) osm@fb.com [Meta](https://dataforgood.fb.com/) Quarterly [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/1-0/) geospatial, osm, mapping, disaster response, aws-pds -Daylight Map Distribution of OpenStreetMap Daylight Earth Table (Parquet) arn:aws:s3:::daylight-openstreetmap/earth us-west-2 S3 Bucket [Project Website](https://daylightmap.org) osm@fb.com [Meta](https://dataforgood.fb.com/) Quarterly [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/1-0/) geospatial, osm, mapping, disaster response, aws-pds Daylight Map Distribution of OpenStreetMap New Parquet File Notification arn:aws:sns:us-west-2:632571768781:Analysis_Ready_Daylight us-west-2 SNS Topic [Project Website](https://daylightmap.org) osm@fb.com [Meta](https://dataforgood.fb.com/) Quarterly [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/1-0/) geospatial, osm, mapping, disaster response, aws-pds Daylight Map Distribution of OpenStreetMap Daylight OSM PBF Files arn:aws:s3:::daylight-map-distribution/release/ us-west-1 S3 Bucket [Project Website](https://daylightmap.org) osm@fb.com [Meta](https://dataforgood.fb.com/) Quarterly [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/1-0/) geospatial, osm, mapping, disaster response, aws-pds -Daylight Map Distribution of OpenStreetMap Daylight OSM Elements (Parquet) arn:aws:s3:::daylight-openstreetmap/parquet/osm_elements us-west-2 S3 Bucket [Project Website](https://daylightmap.org) osm@fb.com [Meta](https://dataforgood.fb.com/) Quarterly [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/1-0/) geospatial, osm, mapping, disaster response, aws-pds Daylight Map Distribution of OpenStreetMap Daylight OSM Features (Parquet) arn:aws:s3:::daylight-openstreetmap/parquet/osm_features us-west-2 S3 Bucket [Project Website](https://daylightmap.org) osm@fb.com [Meta](https://dataforgood.fb.com/) Quarterly [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/1-0/) geospatial, osm, mapping, disaster response, aws-pds +Daylight Map Distribution of OpenStreetMap Daylight OSM Elements (Parquet) arn:aws:s3:::daylight-openstreetmap/parquet/osm_elements us-west-2 S3 Bucket [Project Website](https://daylightmap.org) osm@fb.com [Meta](https://dataforgood.fb.com/) Quarterly [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/1-0/) geospatial, osm, mapping, disaster response, aws-pds +Daylight Map Distribution of OpenStreetMap Daylight Earth Table (Parquet) arn:aws:s3:::daylight-openstreetmap/earth us-west-2 S3 Bucket [Project Website](https://daylightmap.org) osm@fb.com [Meta](https://dataforgood.fb.com/) Quarterly [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/1-0/) geospatial, osm, mapping, disaster response, aws-pds Defense Meteorology Satellite Program (DMSP) Auroral Particle Flux DMSP Auroral Particle Flux arn:aws:s3:::dmspssj us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/dmspssj delores.knipp@colorado.edu Space Weather Technology, Research and Education Center (TREC) at University of Infrequent This data is in the '[public domain](https://creativecommons.org/publicdomain/ze aws-pds, solar, space weather, geospatial, earth observation Demand-Side Grid (dsgrid) Toolkit Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (E arn:aws:s3:::oedi-data-lake/dsgrid-2018-efs/ us-west-2 S3 Bucket https://www.nrel.gov/analysis/dsgrid.html elaine.hale@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) Annually Creative Commons Attribution 4.0 United States License data assimilation, electricity, energy, energy modeling, meteorological, transportation, industrial, solar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=dsgrid-2018-efs%2F)'] Demand-Side Grid (dsgrid) Toolkit Demand-side grid (dsgrid) Toolkit Datasets arn:aws:s3:::nrel-pds-dsgrid/ us-west-2 S3 Bucket https://www.nrel.gov/analysis/dsgrid.html elaine.hale@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) Annually Creative Commons Attribution 4.0 United States License data assimilation, electricity, energy, energy modeling, meteorological, transportation, industrial, solar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=nrel-pds-dsgrid%2F)'] Demand-Side Grid (dsgrid) Toolkit Transportation Energy & Mobility Pathway Options (TEMPO) Model Datasets arn:aws:s3:::nrel-pds-dsgrid/tempo/ us-west-2 S3 Bucket https://www.nrel.gov/analysis/dsgrid.html elaine.hale@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) Annually Creative Commons Attribution 4.0 United States License data assimilation, electricity, energy, energy modeling, meteorological, transportation, industrial, solar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=nrel-pds-dsgrid&prefix=tempo%2F)'] -Department of Energy's Marine Energy Data Lake Tidal Resource Data from Sequim Bay Inlet, WA, August 2020 arn:aws:s3:::marine-energy-data/primre/sequim-tidal-resource/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, marine, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=marine-energy-data&prefix=primre%2Fsequim-tidal-resource%2F)'] Department of Energy's Marine Energy Data Lake Data Catalog of the Marine and Hydrokinetic Data Repository arn:aws:s3:::marine-energy-data/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, marine, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=marine-energy-data)'] -Department of Energy's Open Energy Data Initiative (OEDI) BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short- arn:aws:s3:::oedi-data-lake/buildings-bench/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=buildings-bench)'] -Department of Energy's Open Energy Data Initiative (OEDI) Wind and Structural Loads on Parabolic Trough Solar Collectors at Nevada Solar O arn:aws:s3:::oedi-data-lake/NSO/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=NSO%2F)'] -Department of Energy's Open Energy Data Initiative (OEDI) Data Catalog of the Open Energy Data Initiative (OEDI) arn:aws:s3:::oedi-data-lake/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake)'] -Department of Energy's Open Energy Data Initiative (OEDI) University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy arn:aws:s3:::oedi-data-lake/umcm/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=umcm%2F)'] -Department of Energy's Open Energy Data Initiative (OEDI) PR100: Puerto Rico Grid Resilience and Transition to 100% Renewable Energy arn:aws:s3:::oedi-data-lake/PR100/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=PR100%2F)'] +Department of Energy's Marine Energy Data Lake Tidal Resource Data from Sequim Bay Inlet, WA, August 2020 arn:aws:s3:::marine-energy-data/primre/sequim-tidal-resource/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, marine, water ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=marine-energy-data&prefix=primre%2Fsequim-tidal-resource%2F)'] +Department of Energy's Open Energy Data Initiative (OEDI) Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scena arn:aws:s3:::oedi-data-lake/SMART-DS/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=SMART-DS%2F)'] Department of Energy's Open Energy Data Initiative (OEDI) National Renewable Energy Laboratory (NREL) PV Rooftop Database - Puerto Rico (P arn:aws:s3:::oedi-data-lake/pv-rooftop-pr/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=pv-rooftop-pr%2F)'] Department of Energy's Open Energy Data Initiative (OEDI) NREL's Annual Technology Baseline (ATB) arn:aws:s3:::oedi-data-lake/ATB/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2F)'] -Department of Energy's Open Energy Data Initiative (OEDI) Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scena arn:aws:s3:::oedi-data-lake/SMART-DS/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=SMART-DS%2F)'] -Department of Energy's Open Energy Data Initiative (OEDI) Lawrence Berkeley National Laboratory (LBNL) Tracking the Sun arn:aws:s3:::oedi-data-lake/tracking-the-sun/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=tracking-the-sun%2F)'] -Department of Energy's Open Energy Data Initiative (OEDI) Distributed Generation Market Demand (dGen) model arn:aws:s3:::oedi-data-lake/dgen/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=dgen%2F)'] -Department of Energy's Open Energy Data Initiative (OEDI) AlphaBuilding - Synthetic Buildings Operation Dataset arn:aws:s3:::oedi-data-lake/building_synthetic_dataset/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=building_synthetic_dataset%2F)'] -Department of Energy's Open Energy Data Initiative (OEDI) BUTTER - Empirical Deep Learning Dataset arn:aws:s3:::oedi-data-lake/butter/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=butter%2F)'] -Department of Energy's Open Energy Data Initiative (OEDI) Photovoltaic Data Acquisition (PVDAQ) Public Datasets arn:aws:s3:::oedi-data-lake/pvdaq/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=pvdaq%2F)'] Department of Energy's Open Energy Data Initiative (OEDI) End-Use Load Profiles for the US Building Stock arn:aws:s3:::oedi-data-lake/nrel-pds-building-stock/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=nrel-pds-building-stock%2F)'] +Department of Energy's Open Energy Data Initiative (OEDI) Photovoltaic Data Acquisition (PVDAQ) Public Datasets arn:aws:s3:::oedi-data-lake/pvdaq/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=pvdaq%2F)'] +Department of Energy's Open Energy Data Initiative (OEDI) University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy arn:aws:s3:::oedi-data-lake/umcm/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=umcm%2F)'] +Department of Energy's Open Energy Data Initiative (OEDI) BUTTER - Empirical Deep Learning Dataset arn:aws:s3:::oedi-data-lake/butter/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=butter%2F)'] Department of Energy's Open Energy Data Initiative (OEDI) National Renewable Energy Laboratory (NREL) PV Rooftop Database - (PVRDB) arn:aws:s3:::oedi-data-lake/pv-rooftop/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=pv-rooftop%2F)'] +Department of Energy's Open Energy Data Initiative (OEDI) PR100: Puerto Rico Grid Resilience and Transition to 100% Renewable Energy arn:aws:s3:::oedi-data-lake/PR100/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=PR100%2F)'] Department of Energy's Open Energy Data Initiative (OEDI) Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (E arn:aws:s3:::oedi-data-lake/dsgrid-2018-efs/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=dsgrid-2018-efs%2F)'] -Department of Energy’s Geothermal Data Repository (GDR) Data Lake Soda Lake Geothermal: Raw 3D and 3C Seismic-Reflection Data from 2010 Survey arn:aws:s3:::gdr-data-lake/soda_lake/raw_seismic/2010 us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=soda_lake%2Fraw_seismic%2F2010%2F)'] -Department of Energy’s Geothermal Data Repository (GDR) Data Lake EGS Collab Experiment 2: Microseismic Monitoring arn:aws:s3:::gdr-data-lake/egs_collab/experiment_2/passive_seismic/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_2%2Fpassive_seismic%2F)'] +Department of Energy's Open Energy Data Initiative (OEDI) Wind and Structural Loads on Parabolic Trough Solar Collectors at Nevada Solar O arn:aws:s3:::oedi-data-lake/NSO/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=NSO%2F)'] +Department of Energy's Open Energy Data Initiative (OEDI) BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short- arn:aws:s3:::oedi-data-lake/buildings-bench/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=buildings-bench)'] +Department of Energy's Open Energy Data Initiative (OEDI) Lawrence Berkeley National Laboratory (LBNL) Tracking the Sun arn:aws:s3:::oedi-data-lake/tracking-the-sun/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=tracking-the-sun%2F)'] +Department of Energy's Open Energy Data Initiative (OEDI) Distributed Generation Market Demand (dGen) model arn:aws:s3:::oedi-data-lake/dgen/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=dgen%2F)'] +Department of Energy's Open Energy Data Initiative (OEDI) AlphaBuilding - Synthetic Buildings Operation Dataset arn:aws:s3:::oedi-data-lake/building_synthetic_dataset/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=building_synthetic_dataset%2F)'] +Department of Energy's Open Energy Data Initiative (OEDI) Data Catalog of the Open Energy Data Initiative (OEDI) arn:aws:s3:::oedi-data-lake/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar, lidar ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake)'] Department of Energy’s Geothermal Data Repository (GDR) Data Lake Data Catalog of the Geothermal Data Repository (GDR) arn:aws:s3:::gdr-data-lake/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake)'] Department of Energy’s Geothermal Data Repository (GDR) Data Lake EGS Collab Experiment 1: Continuous Active-Source Seismic Monitoring (CASSM) Dat arn:aws:s3:::gdr-data-lake/egs_collab/experiment_1/EGS_CASSM us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_1%2FEGS_CASSM%2F)'] Department of Energy’s Geothermal Data Repository (GDR) Data Lake Imperial Valley Dark Fiber Project Continuous DAS Data arn:aws:s3:::gdr-data-lake/imperialvalleydas us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=imperialvalleydas%2F)'] -Department of Energy’s Geothermal Data Repository (GDR) Data Lake Utah FORGE: Neubrex Well 16B(78)-32 DAS Data - April 2024 arn:aws:s3:::gdr-data-lake/FORGE/DAS/Neubrex/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=FORGE%2FDAS%2FNeubrex%2F)'] -Department of Energy’s Geothermal Data Repository (GDR) Data Lake Seismic Survey 2016 Data at San Emidio Nevada arn:aws:s3:::gdr-data-lake/wholescale/subter_seismic/san_emidio us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=wholescale%2Fsubter_seismic%2Fsan_emidio%2F)'] -Department of Energy’s Geothermal Data Repository (GDR) Data Lake EGS Collab Experiment 2: Distributed Fiber Optic Acoustic Data (DAS) arn:aws:s3:::gdr-data-lake/egs_collab/experiment_2/DAS/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_2%2FDAS%2F)'] Department of Energy’s Geothermal Data Repository (GDR) Data Lake Seismic Survey 2016 Data at Crescent Valley, Nevada arn:aws:s3:::gdr-data-lake/wholescale/subter_seismic/crescent_valley us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=wholescale%2Fsubter_seismic%2Fcrescent_valley%2F)'] +Department of Energy’s Geothermal Data Repository (GDR) Data Lake Seismic Survey 2016 Data at San Emidio Nevada arn:aws:s3:::gdr-data-lake/wholescale/subter_seismic/san_emidio us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=wholescale%2Fsubter_seismic%2Fsan_emidio%2F)'] Department of Energy’s Geothermal Data Repository (GDR) Data Lake WHOLESCALE: Seismic Survey Data from San Emidio Nevada 2021 arn:aws:s3:::gdr-data-lake/wholescale/2021_seismic us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=wholescale%2F2021_seismic%2F)'] +Department of Energy’s Geothermal Data Repository (GDR) Data Lake Soda Lake Geothermal: Raw 3D and 3C Seismic-Reflection Data from 2010 Survey arn:aws:s3:::gdr-data-lake/soda_lake/raw_seismic/2010 us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=soda_lake%2Fraw_seismic%2F2010%2F)'] +Department of Energy’s Geothermal Data Repository (GDR) Data Lake EGS Collab Experiment 2: Microseismic Monitoring arn:aws:s3:::gdr-data-lake/egs_collab/experiment_2/passive_seismic/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_2%2Fpassive_seismic%2F)'] +Department of Energy’s Geothermal Data Repository (GDR) Data Lake EGS Collab Experiment 2: Distributed Fiber Optic Acoustic Data (DAS) arn:aws:s3:::gdr-data-lake/egs_collab/experiment_2/DAS/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=egs_collab%2Fexperiment_2%2FDAS%2F)'] +Department of Energy’s Geothermal Data Repository (GDR) Data Lake Utah FORGE: Neubrex Well 16B(78)-32 DAS Data - April 2024 arn:aws:s3:::gdr-data-lake/FORGE/DAS/Neubrex/ us-west-2 S3 Bucket https://github.com/openEDI/documentation/ https://github.com/openEDI/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 4.0 United States License aws-pds, energy, geothermal ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gdr-data-lake&prefix=FORGE%2FDAS%2FNeubrex%2F)'] DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue DialoGLUE checkpoints arn:aws:s3:::dialoglue us-east-1 S3 Bucket https://github.com/alexa/dialoglue mihaeric@amazon.com, mehrishikib@gmail.com, hakkanit@amazon.com [Amazon](https://www.amazon.com/) Not currently being updated [CDLA-Sharing](https://cdla.io/sharing-1-0/) amazon.science, natural language processing, machine learning, conversation data ['[Browse Bucket](https://dialoglue.s3.amazonaws.com/index.html)'] Digital Earth Africa ALOS PALSAR, ALOS-2 PALSAR-2 and JERS-1 ALOS PALSAR ALOS-2 PALSAR-2 data arn:aws:s3:::deafrica-input-datasets/alos_palsar_mosaic af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/ALOS_PALSAR_annual_mosa helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) As available, generally annually. Data is available for free under the [terms of use](https://earth.jaxa.jp/policy aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, synthetic aperture radar, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/alos_palsar_mosaic)'] False Digital Earth Africa ALOS PALSAR, ALOS-2 PALSAR-2 and JERS-1 S3 Inventory arn:aws:s3:::deafrica-input-datasets-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/ALOS_PALSAR_annual_mosa helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) As available, generally annually. Data is available for free under the [terms of use](https://earth.jaxa.jp/policy aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, synthetic aperture radar, deafrica, stac, cog @@ -241,52 +241,52 @@ Digital Earth Africa CHIRPS Rainfall CHIRPS daily rainfall arn:aws:s3:::deafrica Digital Earth Africa CHIRPS Rainfall CHIRPS monthly rainfall arn:aws:s3:::deafrica-input-datasets/rainfall_chirps_monthly af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/CHIRPS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) Monthly. To the extent possible under the law, Pete Peterson has waived all copyright and aws-pds, agriculture, climate, earth observation, food security, geospatial, meteorological, satellite imagery, sustainability, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/rainfall_chirps_monthly)'] False Digital Earth Africa CHIRPS Rainfall S3 Inventory arn:aws:s3:::deafrica-input-datasets-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/CHIRPS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) Monthly. To the extent possible under the law, Pete Peterson has waived all copyright and aws-pds, agriculture, climate, earth observation, food security, geospatial, meteorological, satellite imagery, sustainability, deafrica, stac, cog Digital Earth Africa CHIRPS Rainfall Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-input-datasets-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/CHIRPS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) Monthly. To the extent possible under the law, Pete Peterson has waived all copyright and aws-pds, agriculture, climate, earth observation, food security, geospatial, meteorological, satellite imagery, sustainability, deafrica, stac, cog -Digital Earth Africa Coastlines DE Africa Coastlines arn:aws:s3:::deafrica-services/coastlines af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Coastlines_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, climate, coastal, earth observation, geospatial, satellite imagery, sustainability, deafrica False -Digital Earth Africa Coastlines S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Coastlines_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, climate, coastal, earth observation, geospatial, satellite imagery, sustainability, deafrica Digital Earth Africa Coastlines Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-services-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Coastlines_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, climate, coastal, earth observation, geospatial, satellite imagery, sustainability, deafrica +Digital Earth Africa Coastlines S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Coastlines_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, climate, coastal, earth observation, geospatial, satellite imagery, sustainability, deafrica +Digital Earth Africa Coastlines DE Africa Coastlines arn:aws:s3:::deafrica-services/coastlines af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Coastlines_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, climate, coastal, earth observation, geospatial, satellite imagery, sustainability, deafrica False Digital Earth Africa Cropland Extent Map (2019) S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Cropland_extent_specs.h helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, food security, geospatial, satellite imagery, sustainability, deafrica, stac, cog Digital Earth Africa Cropland Extent Map (2019) Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-services-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Cropland_extent_specs.h helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, food security, geospatial, satellite imagery, sustainability, deafrica, stac, cog Digital Earth Africa Cropland Extent Map (2019) Cropland extent map 2019 arn:aws:s3:::deafrica-services/crop_mask af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Cropland_extent_specs.h helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, food security, geospatial, satellite imagery, sustainability, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/crop_mask)'] False -Digital Earth Africa Fractional Cover Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-services-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs. helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, sustainability, deafrica, stac, cog -Digital Earth Africa Fractional Cover S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs. helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, sustainability, deafrica, stac, cog -Digital Earth Africa Fractional Cover Fractional Cover data arn:aws:s3:::deafrica-services/fc_ls af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs. helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, sustainability, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/fc_ls)'] False Digital Earth Africa Fractional Cover Fractional Cover Annual Summary data arn:aws:s3:::deafrica-services/fc_ls_summary_annual af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs. helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, sustainability, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/fc_ls_summary_annual)'] False +Digital Earth Africa Fractional Cover S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs. helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, sustainability, deafrica, stac, cog Digital Earth Africa Fractional Cover New scene notifications, can subscribe with Lambda arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs. helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, sustainability, deafrica, stac, cog -Digital Earth Africa GeoMAD Landsat 5 and 7 GeoMAD (Annual) data arn:aws:s3:::deafrica-services/gm_ls5_ls7_annual af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) GeoMADs for Sentinel-2 and Landsat are updated as their respective time periods DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_ls5_ls7_annual)'] False -Digital Earth Africa GeoMAD S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) GeoMADs for Sentinel-2 and Landsat are updated as their respective time periods DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog -Digital Earth Africa GeoMAD Sentinel-2 GeoMAD (Annual) data arn:aws:s3:::deafrica-services/gm_s2_annual af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) GeoMADs for Sentinel-2 and Landsat are updated as their respective time periods DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_s2_annual)'] False -Digital Earth Africa GeoMAD Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-services-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) GeoMADs for Sentinel-2 and Landsat are updated as their respective time periods DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog +Digital Earth Africa Fractional Cover Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-services-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs. helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, sustainability, deafrica, stac, cog +Digital Earth Africa Fractional Cover Fractional Cover data arn:aws:s3:::deafrica-services/fc_ls af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Fractional_Cover_specs. helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, sustainability, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/fc_ls)'] False Digital Earth Africa GeoMAD Landsat 8 GeoMAD (Annual) data arn:aws:s3:::deafrica-services/gm_ls8_annual af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) GeoMADs for Sentinel-2 and Landsat are updated as their respective time periods DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_ls8_annual)'] False +Digital Earth Africa GeoMAD Sentinel-2 GeoMAD (Annual) data arn:aws:s3:::deafrica-services/gm_s2_annual af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) GeoMADs for Sentinel-2 and Landsat are updated as their respective time periods DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_s2_annual)'] False Digital Earth Africa GeoMAD Sentinel-2 GeoMAD (Semi-Annual) data arn:aws:s3:::deafrica-services/gm_s2_semiannual af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) GeoMADs for Sentinel-2 and Landsat are updated as their respective time periods DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_s2_semiannual)'] False +Digital Earth Africa GeoMAD Landsat 5 and 7 GeoMAD (Annual) data arn:aws:s3:::deafrica-services/gm_ls5_ls7_annual af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) GeoMADs for Sentinel-2 and Landsat are updated as their respective time periods DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gm_ls5_ls7_annual)'] False +Digital Earth Africa GeoMAD Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-services-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) GeoMADs for Sentinel-2 and Landsat are updated as their respective time periods DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog +Digital Earth Africa GeoMAD S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/GeoMAD_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) GeoMADs for Sentinel-2 and Landsat are updated as their respective time periods DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog +Digital Earth Africa Global Mangrove Watch Global Mangrove Watch arn:aws:s3:::deafrica-input-datasets/gmw af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Global_Mangrove_Watch_s helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, natural resource, earth observation, coastal, geospatial, satellite imagery, sustainability, deafrica, stac, cog, land cover ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gmw)'] False Digital Earth Africa Global Mangrove Watch S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Global_Mangrove_Watch_s helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, natural resource, earth observation, coastal, geospatial, satellite imagery, sustainability, deafrica, stac, cog, land cover Digital Earth Africa Global Mangrove Watch Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-input-datasets-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Global_Mangrove_Watch_s helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, natural resource, earth observation, coastal, geospatial, satellite imagery, sustainability, deafrica, stac, cog, land cover -Digital Earth Africa Global Mangrove Watch Global Mangrove Watch arn:aws:s3:::deafrica-input-datasets/gmw af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Global_Mangrove_Watch_s helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) To be defined. DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, natural resource, earth observation, coastal, geospatial, satellite imagery, sustainability, deafrica, stac, cog, land cover ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/gmw)'] False -Digital Earth Africa Landsat Collection 2 Level 2 Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-landsat-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_SR_specs.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Landsat data are added regularly, usually within a few hours of them being a There are no restrictions on Landsat data downloaded from the USGS; it can be us aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog +Digital Earth Africa Landsat Collection 2 Level 2 Landsat scenes and metadata arn:aws:s3:::deafrica-landsat af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_SR_specs.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Landsat data are added regularly, usually within a few hours of them being a There are no restrictions on Landsat data downloaded from the USGS; it can be us aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/)'] False Digital Earth Africa Landsat Collection 2 Level 2 New scene notifications, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-landsat-scene-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_SR_specs.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Landsat data are added regularly, usually within a few hours of them being a There are no restrictions on Landsat data downloaded from the USGS; it can be us aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog +Digital Earth Africa Landsat Collection 2 Level 2 Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-landsat-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_SR_specs.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Landsat data are added regularly, usually within a few hours of them being a There are no restrictions on Landsat data downloaded from the USGS; it can be us aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog Digital Earth Africa Landsat Collection 2 Level 2 S3 Inventory files arn:aws:s3:::deafrica-landsat-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_SR_specs.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Landsat data are added regularly, usually within a few hours of them being a There are no restrictions on Landsat data downloaded from the USGS; it can be us aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog -Digital Earth Africa Landsat Collection 2 Level 2 Landsat scenes and metadata arn:aws:s3:::deafrica-landsat af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_C2_SR_specs.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Landsat data are added regularly, usually within a few hours of them being a There are no restrictions on Landsat data downloaded from the USGS; it can be us aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/)'] False +Digital Earth Africa Monthly Normalised Difference Vegetation Index (NDVI) Anomaly Monthly Normalised Difference Vegetation Index (NDVI) Anomaly arn:aws:s3:::deafrica-services/ndvi_anomaly af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/NDVI_Anomaly_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) From September 2022, the Monthly NDVI Anomaly is generated as a low latency prod DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/ndvi_anomaly)'] False Digital Earth Africa Monthly Normalised Difference Vegetation Index (NDVI) Anomaly S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/NDVI_Anomaly_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) From September 2022, the Monthly NDVI Anomaly is generated as a low latency prod DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, deafrica, stac, cog Digital Earth Africa Monthly Normalised Difference Vegetation Index (NDVI) Anomaly New scene notifications, can subscribe with Lambda arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/NDVI_Anomaly_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) From September 2022, the Monthly NDVI Anomaly is generated as a low latency prod DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, deafrica, stac, cog Digital Earth Africa Monthly Normalised Difference Vegetation Index (NDVI) Anomaly Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-services-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/NDVI_Anomaly_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) From September 2022, the Monthly NDVI Anomaly is generated as a low latency prod DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, deafrica, stac, cog -Digital Earth Africa Monthly Normalised Difference Vegetation Index (NDVI) Anomaly Monthly Normalised Difference Vegetation Index (NDVI) Anomaly arn:aws:s3:::deafrica-services/ndvi_anomaly af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/NDVI_Anomaly_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) From September 2022, the Monthly NDVI Anomaly is generated as a low latency prod DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/ndvi_anomaly)'] False +Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-services-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/ndvi_climatology_ls.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) N/A DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, deafrica, stac, cog Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology Normalised Difference Vegetation Index (NDVI) Climatology arn:aws:s3:::deafrica-services/ndvi_climatology_ls af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/ndvi_climatology_ls.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) N/A DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/ndvi_climatology_ls)'] False Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/ndvi_climatology_ls.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) N/A DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, deafrica, stac, cog Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology New scene notifications, can subscribe with Lambda arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/ndvi_climatology_ls.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) N/A DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, deafrica, stac, cog -Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-services-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/ndvi_climatology_ls.htm helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) N/A DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, deafrica, stac, cog +Digital Earth Africa Sentinel-1 Radiometrically Terrain Corrected Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-1-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-1_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-1 data are added regularly. Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog, synthetic aperture radar Digital Earth Africa Sentinel-1 Radiometrically Terrain Corrected New scene notifications, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-1-scene-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-1_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-1 data are added regularly. Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog, synthetic aperture radar -Digital Earth Africa Sentinel-1 Radiometrically Terrain Corrected Sentinel-1 tiles and metadata arn:aws:s3:::deafrica-sentinel-1 af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-1_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-1 data are added regularly. Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog, synthetic aperture radar ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/s1_rtc)'] False Digital Earth Africa Sentinel-1 Radiometrically Terrain Corrected S3 Inventory arn:aws:s3:::deafrica-sentinel-1-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-1_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-1 data are added regularly. Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog, synthetic aperture radar -Digital Earth Africa Sentinel-1 Radiometrically Terrain Corrected Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-1-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-1_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-1 data are added regularly. Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog, synthetic aperture radar -Digital Earth Africa Sentinel-2 Level-2A Sentinel-2 scenes and metadata arn:aws:s3:::deafrica-sentinel-2 af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-2_Level-2A_spe helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-2 scenes are added regularly, usually within few hours after they a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/s2_l2a)'] False -Digital Earth Africa Sentinel-2 Level-2A New scene notifications, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-2-scene-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-2_Level-2A_spe helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-2 scenes are added regularly, usually within few hours after they a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog +Digital Earth Africa Sentinel-1 Radiometrically Terrain Corrected Sentinel-1 tiles and metadata arn:aws:s3:::deafrica-sentinel-1 af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-1_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-1 data are added regularly. Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog, synthetic aperture radar ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/s1_rtc)'] False Digital Earth Africa Sentinel-2 Level-2A Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-2-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-2_Level-2A_spe helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-2 scenes are added regularly, usually within few hours after they a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog +Digital Earth Africa Sentinel-2 Level-2A New scene notifications, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-sentinel-2-scene-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-2_Level-2A_spe helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-2 scenes are added regularly, usually within few hours after they a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog Digital Earth Africa Sentinel-2 Level-2A S3 Inventory arn:aws:s3:::deafrica-sentinel-2-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-2_Level-2A_spe helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-2 scenes are added regularly, usually within few hours after they a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog -Digital Earth Africa Water Observations from Space Water Observations from Space data arn:aws:s3:::deafrica-services/wofs_ls af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls)'] False -Digital Earth Africa Water Observations from Space Water Observations from Space Annual Summary data arn:aws:s3:::deafrica-services/wofs_ls_summary_annual af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls_summary_annual)'] False -Digital Earth Africa Water Observations from Space Water Observations from Space All-Time Summary data arn:aws:s3:::deafrica-services/wofs_ls_summary_alltime af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls_summary_alltime)'] False -Digital Earth Africa Water Observations from Space S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog -Digital Earth Africa Water Observations from Space New scene notifications, can subscribe with Lambda arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog +Digital Earth Africa Sentinel-2 Level-2A Sentinel-2 scenes and metadata arn:aws:s3:::deafrica-sentinel-2 af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Sentinel-2_Level-2A_spe helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New Sentinel-2 scenes are added regularly, usually within few hours after they a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/s2_l2a)'] False Digital Earth Africa Water Observations from Space Bucket creation event notification, can subscribe with Lambda arn:aws:sns:af-south-1:543785577597:deafrica-services-topic af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog +Digital Earth Africa Water Observations from Space New scene notifications, can subscribe with Lambda arn:aws:sns:af-south-1:565417506782:deafrica-landsat-wofs af-south-1 SNS Topic https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog +Digital Earth Africa Water Observations from Space S3 Inventory arn:aws:s3:::deafrica-services-inventory af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog +Digital Earth Africa Water Observations from Space Water Observations from Space All-Time Summary data arn:aws:s3:::deafrica-services/wofs_ls_summary_alltime af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls_summary_alltime)'] False +Digital Earth Africa Water Observations from Space Water Observations from Space Annual Summary data arn:aws:s3:::deafrica-services/wofs_ls_summary_annual af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls_summary_annual)'] False +Digital Earth Africa Water Observations from Space Water Observations from Space data arn:aws:s3:::deafrica-services/wofs_ls af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls)'] False DigitalCorpora Digital Corpora Dataset arn:aws:s3:::digitalcorpora us-west-2 S3 Bucket https://digitalcorpora.org Digital Corpora [Simson Garfinkel](https://simson.net/) Quarterly There are no restrictions on the use of this data. aws-pds, computer security, cyber security, CSI, information retrieval, computer forensics, digital forensics, machine learning, machine translation, image processing, imaging, internet, intrusion detection, text analysis Discrete Reasoning Over the content of Paragraphs (DROP) Project data files in a public bucket arn:aws:s3:::ai2-public-datasets us-west-2 S3 Bucket https://allenai.org/data/drop info@allenai.org [Allen Institute for AI](https://allenai.org) Not updated [CC BY](https://creativecommons.org/licenses/by/4.0) aws-pds, machine learning, natural language processing Distributed Archives for Neurophysiology Data Integration (DANDI) All datasets arn:aws:s3:::dandiarchive us-east-2 S3 Bucket http://dandiarchive.org [DANDI Archive Help Desk](https://github.com/dandi/helpdesk/issues/new/choose) [DANDI Archive](https://www.dandiarchive.org/team) New datasets deposited every month CC0, CC-BY aws-pds, biology, cell imaging, electrophysiology, life sciences, infrastructure, neuroimaging, neurophysiology, neuroscience @@ -295,30 +295,31 @@ District of Columbia - Classified Point Cloud LiDAR LAS, XML arn:aws:s3:::dc-lid Downscaled Climate Data for Alaska (v1.1, August 2023) Dynamically downscaled climate data for Alaska and surrounding regions arn:aws:s3:::wrf-ak-ar5 us-east-1 S3 Bucket https://catalog.snap.uaf.edu/geonetwork/srv/eng/catalog.search#/metadata/7825535 http://directory.iarc.uaf.edu/peter-bieniek Scenarios Network for Alaska + Arctic Planning at the International Arctic Resea as needed https://creativecommons.org/licenses/by/4.0/ aws-pds, agriculture, climate, coastal, earth observation, environmental, weather, aws-pds, sustainability ['[Browse Bucket](http://wrf-ak-ar5.s3-website-us-east-1.amazonaws.com/)'] ECMWF real-time forecasts Access ECMWF's open-data for real-time forecasts arn:aws:s3:::ecmwf-forecasts eu-central-1 S3 Bucket [User Documentation](https://confluence.ecmwf.int/display/DAC/ECMWF+open+data%3A https://confluence.ecmwf.int/site/support [European Centre for Medium-Range Weather Forecasts](https://www.ecmwf.int/) The data are released 1 hour after the [real-time dissemination schedule](https: This ECMWF data is published under a Creative Commons Attribution 4.0 Internatio aws-pds, air temperature, atmosphere, meteorological, near-surface air temperature, near-surface relative humidity, near-surface specific humidity, precipitation, weather EMory BrEast Imaging Dataset (EMBED) EMBED dataset and tables arn:aws:s3:::embed-dataset-open us-west-2 S3 Bucket https://github.com/Emory-HITI/EMBED_Open_Data hari.trivedi@emory.edu Health Innovation and Translational Informatics Lab at Emory University (hitilab New data to be added annually [Custom License](https://github.com/Emory-HITI/EMBED_Open_Data/blob/main/EMBED_l aws-pds, health, cancer, mammography, imaging, x-ray, bias, biology https://forms.gle/HwGMM6vdv3w32TKF9 -EPA Dynamically Downscaled Ensemble (EDDE) EDDE data are compressed netCDF (https://unidataucaredu/software/netcdf/) file arn:aws:s3:::epa-edde us-east-1 S3 Bucket EDDE Version 1 can be referenced using https://doi.org/10.23719/1530964 Please s spero.tanya@epa.gov; mallard.megan@epa.gov U.S. Environmental Protection Agency, Office of Research and Development, Center Quarterly These datasets are products of the U.S. Government and are intended for public a aws-pds, weather, climate, climate model, climate projections, CMIP5, CMIP6, us, atmosphere, environmental, meteorological, Eulerian, model, simulations, HPC, events, fluid dynamics, geospatial, netcdf, hdf5, physics, geoscience, open source software, post-processing, air temperature, near-surface air temperature, near-surface relative humidity, near-surface specific humidity, precipitation, radiation, elevation, land use, land cover, agriculture, air quality, infrastructure, ecosystems, floods, health, hydrology, water ['[Browse Bucket](https://epa-edde.s3.amazonaws.com/index.html)'] EPA Dynamically Downscaled Ensemble (EDDE) Notifications for EDDE bucket arn:aws:sns:us-east-1:127085394039:epa-edde-object_created us-east-1 SNS Topic EDDE Version 1 can be referenced using https://doi.org/10.23719/1530964 Please s spero.tanya@epa.gov; mallard.megan@epa.gov U.S. Environmental Protection Agency, Office of Research and Development, Center Quarterly These datasets are products of the U.S. Government and are intended for public a aws-pds, weather, climate, climate model, climate projections, CMIP5, CMIP6, us, atmosphere, environmental, meteorological, Eulerian, model, simulations, HPC, events, fluid dynamics, geospatial, netcdf, hdf5, physics, geoscience, open source software, post-processing, air temperature, near-surface air temperature, near-surface relative humidity, near-surface specific humidity, precipitation, radiation, elevation, land use, land cover, agriculture, air quality, infrastructure, ecosystems, floods, health, hydrology, water +EPA Dynamically Downscaled Ensemble (EDDE) EDDE data are compressed netCDF (https://unidataucaredu/software/netcdf/) file arn:aws:s3:::epa-edde us-east-1 S3 Bucket EDDE Version 1 can be referenced using https://doi.org/10.23719/1530964 Please s spero.tanya@epa.gov; mallard.megan@epa.gov U.S. Environmental Protection Agency, Office of Research and Development, Center Quarterly These datasets are products of the U.S. Government and are intended for public a aws-pds, weather, climate, climate model, climate projections, CMIP5, CMIP6, us, atmosphere, environmental, meteorological, Eulerian, model, simulations, HPC, events, fluid dynamics, geospatial, netcdf, hdf5, physics, geoscience, open source software, post-processing, air temperature, near-surface air temperature, near-surface relative humidity, near-surface specific humidity, precipitation, radiation, elevation, land use, land cover, agriculture, air quality, infrastructure, ecosystems, floods, health, hydrology, water ['[Browse Bucket](https://epa-edde.s3.amazonaws.com/index.html)'] EPA Risk-Screening Environmental Indicators RSEI Microdata arn:aws:s3:::epa-rsei-pds us-east-1 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/epa-rsei-pds https://www.epa.gov/rsei/forms/contact-us-about-rsei-model [Environmental Protection Agency](https://www.epa.gov/rsei/) Updated infrequently US Government work aws-pds, environmental ['[Browse Bucket](https://epa-rsei-pds.s3.amazonaws.com/index.html)'] ERA5-for-WRF Open Data on AWS ERA5-for-WRF Data arn:aws:s3:::era5-for-wrf us-east-1 S3 Bucket https://github.com/moptis/era5-for-wrf/ info@veer.eco [Veer Renewables](http://www.veer.eco/) Monthly. CC BY-SA 4.0 aws-pds, weather, sustainability, atmosphere, electricity, meteorological, model ESA WorldCover ESA WorldCover in a S3 bucket arn:aws:s3:::esa-worldcover eu-central-1 S3 Bucket Documentation is available [here](https://esa-worldcover.org/en/data-access). https://esa-worldcover.org/en/contact [VITO](https://vito.be) Yearly. CC-BY 4.0 aws-pds, earth observation, agriculture, satellite imagery, geospatial, natural resource, sustainability, cog, disaster response, mapping, synthetic aperture radar, land cover, land use, machine learning, stac ['[STAC endpoint](https://services.terrascope.be/stac/)'] False ESA WorldCover Sentinel-1 and Sentinel-2 10m Annual Composites ESA WorldCover S1 composites The bucket contains 1 Sentinel-1 annual composite arn:aws:s3:::esa-worldcover-s1 eu-central-1 S3 Bucket More information is available on the products' [GitHub](https://github.com/ESA-W https://esa-worldcover.org/en/contact [VITO](https://vito.be) Not updated. CC-BY 4.0 aws-pds, earth observation, agriculture, satellite imagery, geospatial, natural resource, sustainability, cog, disaster response, mapping, synthetic aperture radar, land cover, land use, machine learning, stac ['[Products Grid](https://esa-worldcover.s3.eu-central-1.amazonaws.com/esa_worldcover_grid_composites.fgb)', '[WorldCover Viewer](https://viewer.esa-worldcover.org/worldcover/?layer=WORLDCOVER_2021_S1_VVVHratio)'] False ESA WorldCover Sentinel-1 and Sentinel-2 10m Annual Composites ESA WorldCover S2 composites The bucket contains the 3 Sentinel-2 L2A annual co arn:aws:s3:::esa-worldcover-s2 eu-central-1 S3 Bucket More information is available on the products' [GitHub](https://github.com/ESA-W https://esa-worldcover.org/en/contact [VITO](https://vito.be) Not updated. CC-BY 4.0 aws-pds, earth observation, agriculture, satellite imagery, geospatial, natural resource, sustainability, cog, disaster response, mapping, synthetic aperture radar, land cover, land use, machine learning, stac ['[Products Grid](https://esa-worldcover.s3.eu-central-1.amazonaws.com/esa_worldcover_grid_composites.fgb)', '[WorldCover Viewer](https://viewer.esa-worldcover.org/worldcover/?layer=WORLDCOVER_2021_S2_NDVI)'] False EURO-CORDEX - European component of the Coordinated Regional Downscaling Experiment Project data files arn:aws:s3:::euro-cordex eu-central-1 S3 Bucket https://www.euro-cordex.net/060378/index.php.en cordex-aws@hereon.de [Helmholtz Centre Hereon / GERICS](https://www.climate-service-center.de) We will add more datasets on demand. https://is-enes-data.github.io/cordex_terms_of_use.pdf aws-pds, climate, model, climate model, atmosphere, geospatial, zarr -Earth Observation Data Cubes for Brazil Notifications for new EO Data Cubes Sentinel-2 scenes arn:aws:sns:us-west-2:896627514407:bdc-sentinel-2-object_created us-west-2 SNS Topic http://brazildatacube.org/en/home-page-2/ brazildatacube@inpe.br [INPE - Brazil Data Cube](http://brazildatacube.org/) New EO data cubes are added as soon as there are produced by the Brazil Data Cub The EO data cubes are produced from free and open images of CBERS-4, Landsat-8 a earth observation, satellite imagery, geoscience, geospatial, image processing, open source software, cog, stac, aws-pds -Earth Observation Data Cubes for Brazil Earth Observation Data Cubes for Brazil - CBERS 4 arn:aws:s3:::bdc-cbers us-west-2 S3 Bucket http://brazildatacube.org/en/home-page-2/ brazildatacube@inpe.br [INPE - Brazil Data Cube](http://brazildatacube.org/) New EO data cubes are added as soon as there are produced by the Brazil Data Cub The EO data cubes are produced from free and open images of CBERS-4, Landsat-8 a earth observation, satellite imagery, geoscience, geospatial, image processing, open source software, cog, stac, aws-pds ['[BDC STAC V0.9.0 endpoint](https://bdc-cbers.s3.us-west-2.amazonaws.com/catalog.json)'] False Earth Observation Data Cubes for Brazil Notifications for new EO Data Cubes CBERS scenes arn:aws:sns:us-west-2:896627514407:bdc-cbers-object_created us-west-2 SNS Topic http://brazildatacube.org/en/home-page-2/ brazildatacube@inpe.br [INPE - Brazil Data Cube](http://brazildatacube.org/) New EO data cubes are added as soon as there are produced by the Brazil Data Cub The EO data cubes are produced from free and open images of CBERS-4, Landsat-8 a earth observation, satellite imagery, geoscience, geospatial, image processing, open source software, cog, stac, aws-pds +Earth Observation Data Cubes for Brazil Earth Observation Data Cubes for Brazil - CBERS 4 arn:aws:s3:::bdc-cbers us-west-2 S3 Bucket http://brazildatacube.org/en/home-page-2/ brazildatacube@inpe.br [INPE - Brazil Data Cube](http://brazildatacube.org/) New EO data cubes are added as soon as there are produced by the Brazil Data Cub The EO data cubes are produced from free and open images of CBERS-4, Landsat-8 a earth observation, satellite imagery, geoscience, geospatial, image processing, open source software, cog, stac, aws-pds ['[BDC STAC V0.9.0 endpoint](https://bdc-cbers.s3.us-west-2.amazonaws.com/catalog.json)'] False Earth Observation Data Cubes for Brazil Earth Observation Data Cubes for Brazil - Sentinel 2A/2B arn:aws:s3:::bdc-sentinel-2 us-west-2 S3 Bucket http://brazildatacube.org/en/home-page-2/ brazildatacube@inpe.br [INPE - Brazil Data Cube](http://brazildatacube.org/) New EO data cubes are added as soon as there are produced by the Brazil Data Cub The EO data cubes are produced from free and open images of CBERS-4, Landsat-8 a earth observation, satellite imagery, geoscience, geospatial, image processing, open source software, cog, stac, aws-pds ['[BDC STAC V0.9.0 endpoint](https://bdc-sentinel-2.s3.us-west-2.amazonaws.com/catalog.json)'] False +Earth Observation Data Cubes for Brazil Notifications for new EO Data Cubes Sentinel-2 scenes arn:aws:sns:us-west-2:896627514407:bdc-sentinel-2-object_created us-west-2 SNS Topic http://brazildatacube.org/en/home-page-2/ brazildatacube@inpe.br [INPE - Brazil Data Cube](http://brazildatacube.org/) New EO data cubes are added as soon as there are produced by the Brazil Data Cub The EO data cubes are produced from free and open images of CBERS-4, Landsat-8 a earth observation, satellite imagery, geoscience, geospatial, image processing, open source software, cog, stac, aws-pds Earth Radio Occultation Three types of data exist in a directory hierarchy that includes the contributin arn:aws:s3:::gnss-ro-data us-east-1 S3 Bucket http://github.com/gnss-ro/aws-opendata Stephen Leroy (sleroy@aer.com) Verisk Atmospheric and Environmental Research, Inc. The dataset is updated monthly for UCAR and ROM SAF contributions only. The upda A Creative Commons open-use licence (https://www.ucar.edu/terms-of-use/data) app aws-pds, atmosphere, climate, earth observation, global, signal processing, weather ['[Browse Bucket](https://gnss-ro-data.s3.amazonaws.com/index.html)'] EarthDEM EarthDEM DEM Strips arn:aws:s3:::pgc-opendata-dems/earthdem/strips/ us-west-2 S3 Bucket https://www.pgc.umn.edu/data/earthdem/ pgc-support@umn.edu [Polar Geospatial Center](https://www.pgc.umn.edu/) New DEM strips are added when allowed by licensing restrictions. Mosaic product [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecom aws-pds, elevation, earth observation, geospatial, mapping, open source software, satellite imagery, cog, stac ['[Browse STAC Catalog](https://polargeospatialcenter.github.io/stac-browser/#/external/pgc-opendata-dems.s3.us-west-2.amazonaws.com/earthdem/strips.json)'] +Emory Knee Radiograph (MRKR) dataset MRKR dataset and tables arn:aws:s3:::emory-mrkr-dataset us-west-2 S3 Bucket https://github.com/Emory-HITI/MRKR bprice9@emory.edu, bpri0002@radiology.ufl.edu, hari.trivedi@emory.edu Health Innovation and Translational Informatics Lab at Emory University (hitilab New data is added as soon as it is available. CC-BY-SA aws-pds, radiology, medical imaging, medical image computing, machine learning, computer vision, health, imaging, biology, bioinformatics, life sciences, csv, labeled, x-ray Encyclopedia of DNA Elements (ENCODE) Released and archived ENCODE data arn:aws:s3:::encode-public us-west-2 S3 Bucket https://www.encodeproject.org encode-help@lists.stanford.edu ENCODE Data Coordinating Center Daily External data users may freely download, analyze, and publish results based on a aws-pds, biology, bioinformatics, genetic, genomic, life sciences End of Term Web Archive Dataset Web Archive Crawl Data (WARC and ARC formats) arn:aws:s3:::eotarchive us-east-1 S3 Bucket https://eotarchive.org/data/ Mark Phillips , Sawood Alam [End of Term Web Archive](https://eotarchive.org) Every four years after a US Presidentaial Election There are no restrictions on the use, access, and/or download of data from the E aws-pds, natural language processing, internet, web archive, archives End-Use Load Profiles for the U.S. Building Stock End-Use Load Profiles for the US Building Stock arn:aws:s3:::oedi-data-lake/nrel-pds-building-stock/ us-west-2 S3 Bucket https://www.nrel.gov/buildings/end-use-load-profiles.html ComStock@nrel.gov and ResStock@nrel.gov [National Renewable Energy Laboratory](https://www.nrel.gov/) Twice per year [ComStock License](https://github.com/NREL/ComStock/blob/main/LICENSE.txt) and [ aws-pds, climate, cities, energy, energy modeling, geospatial, metadata, model, open source software, sustainability, utilities ['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=nrel-pds-building-stock%2Fend-use-load-profiles-for-us-building-stock%2F)'] Enriched Topical-Chat Dataset for Knowledge-Grounded Dialogue Systems Enriched Topical-Chat Dataset for Knowledge-Grounded Dialogue Systems arn:aws:s3:::enriched-topical-chat us-west-2 S3 Bucket https://github.com/alexa/Topical-Chat/blob/master/TopicalChatEnriched/README.md behnam@amazon.com, karthgop@amazon.com, seokhwk@amazon.com, yangliud@amazon.com, [Amazon](https://www.amazon.com/) Not currently being updated [CDLA-Sharing](https://cdla.io/sharing-1-0/) amazon.science, natural language processing, machine learning, conversation data Ensemble Meteorological Dataset for Planet Earth, EM-Earth Ensemble Meteorological Dataset for Planet Earth, EM-Earth arn:aws:s3:::emearth us-west-2 S3 Bucket https://doi.org/10.20383/102.0547 shervan.gharari@usask.ca [Computational Hydrology at the University of Saskatchewan](https://uofs-comphyd N/A Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommo aws-pds, atmosphere, netcdf, near-surface air temperature, precipitation, meteorological ['[Browse Bucket](https://emearth.s3.amazonaws.com/index.html)'] Epoch of Reionization Dataset Selected MWA EoR data (uvfits format) from 2013-2015 arn:aws:s3:::mwapublic us-east-1 S3 Bucket http://danielcjacobs.com/research/epoch-of-reionization-aws-public-dataset/ brynah (at) phys.washington.edu University of washington Radio Cosmology Group Irregularly BSD 2-Clause astronomy, aws-pds -Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2010 Census Proof of Concept) 2010 Census Production Settings Demographic and Housing Characteristics Approxim arn:aws:s3:::uscb-2020-product-releases/decennial/amc/2010/mdf/2010-dhc-mdf-replicates us-west-2 S3 Bucket [AMC Replicates README (Updated 8/5/2024)](https://uscb-2020-product-releases.s3 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal census, differential privacy, disclosure avoidance, ethnicity, group quarters, hispanic, latino, housing, housing units, noisy measurements, population, race, redistricting, demographic and housing characteristics file, dhc, voting age, household type, relation-to-householder, age, single year of age, approximate monte carlo, approximate monte carlo replicates, microdata Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2010 Census Proof of Concept) Census Open Data S3 Inventory arn:aws:s3:::uscb-opendata-inventory us-west-2 S3 Bucket [AMC Replicates README (Updated 8/5/2024)](https://uscb-2020-product-releases.s3 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal census, differential privacy, disclosure avoidance, ethnicity, group quarters, hispanic, latino, housing, housing units, noisy measurements, population, race, redistricting, demographic and housing characteristics file, dhc, voting age, household type, relation-to-householder, age, single year of age, approximate monte carlo, approximate monte carlo replicates, microdata -Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2020 Census Production Run) Census Open Data S3 Inventory arn:aws:s3:::uscb-opendata-inventory us-west-2 S3 Bucket [AMC Replicates README (Updated 9/17/2024)](https://uscb-2020-product-releases.s 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal census, decennial census, 2020 census, differential privacy, disclosure avoidance, ethnicity, group quarters, hispanic, latino, housing, housing units, noisy measurements, population, race, redistricting, demographic and housing characteristics file, dhc, voting age, household type, relation-to-householder, age, single year of age, approximate monte carlo, approximate monte carlo replicates, microdata +Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2010 Census Proof of Concept) 2010 Census Production Settings Demographic and Housing Characteristics Approxim arn:aws:s3:::uscb-2020-product-releases/decennial/amc/2010/mdf/2010-dhc-mdf-replicates us-west-2 S3 Bucket [AMC Replicates README (Updated 8/5/2024)](https://uscb-2020-product-releases.s3 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal census, differential privacy, disclosure avoidance, ethnicity, group quarters, hispanic, latino, housing, housing units, noisy measurements, population, race, redistricting, demographic and housing characteristics file, dhc, voting age, household type, relation-to-householder, age, single year of age, approximate monte carlo, approximate monte carlo replicates, microdata Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2020 Census Production Run) 2020 Census Production Settings Demographic and Housing Characteristics Approxim arn:aws:s3:::uscb-2020-product-releases/decennial/amc/2020/mdf/2020-dhc-mdf-replicates us-west-2 S3 Bucket [AMC Replicates README (Updated 9/17/2024)](https://uscb-2020-product-releases.s 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal census, decennial census, 2020 census, differential privacy, disclosure avoidance, ethnicity, group quarters, hispanic, latino, housing, housing units, noisy measurements, population, race, redistricting, demographic and housing characteristics file, dhc, voting age, household type, relation-to-householder, age, single year of age, approximate monte carlo, approximate monte carlo replicates, microdata +Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2020 Census Production Run) Census Open Data S3 Inventory arn:aws:s3:::uscb-opendata-inventory us-west-2 S3 Bucket [AMC Replicates README (Updated 9/17/2024)](https://uscb-2020-product-releases.s 2020DAS@census.gov [United States Census Bureau](http://www.census.gov/) Not Updated CC0 1.0 Universal census, decennial census, 2020 census, differential privacy, disclosure avoidance, ethnicity, group quarters, hispanic, latino, housing, housing units, noisy measurements, population, race, redistricting, demographic and housing characteristics file, dhc, voting age, household type, relation-to-householder, age, single year of age, approximate monte carlo, approximate monte carlo replicates, microdata Exceptional Responders Initiative Sequencing Reads, Transcriptome Profiling, Simple Nucleotide Variation, Copy Num arn:aws:s3:::gdc-exceptional-responders-er-phs001145-2-open us-east-1 S3 Bucket https://ftp.ncbi.nlm.nih.gov/dbgap/studies/phs001145/phs001145.v1.p1 support@nci-gdc.datacommons.io “[Center for Translational Data Science at The University of Chicago] (https://c Genomic Data Commons is the source of truth for this dataset and it offers month NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, STRIDES, cancer, life sciences, genomic, whole genome sequencing, whole exome sequencing, transcriptomics, epigenomics FashionLocalTriplets Image objects and metadata arn:aws:s3:::fashionlocaltriplets us-east-1 S3 Bucket https://fashionlocaltriplets.s3.amazonaws.com/Documentation.md Nikhil Garg (nikhgarg@amazon.de), Yuan Zhang (yuaa@amazon.com) [Amazon](https://www.amazon.com/) Not updated Creative Commons Non-Commercial 4.0 amazon.science, computer vision, machine learning Finnish Meteorological Institute Weather Radar Data Radar data as GeoTIFF arn:aws:s3:::fmi-opendata-radar-geotiff eu-west-1 S3 Bucket http://en.ilmatieteenlaitos.fi/radar-data-on-aws-s3 avoin-data@fmi.fi [Finnish Meteorological Institute](https://www.ilmatieteenlaitos.fi/) 5 minutes Creative Commons Attribution 4.0 International (CC BY 4.0) aws-pds, agriculture, earth observation, weather, meteorological ['[Browse Bucket](https://fmi-opendata-radar-geotiff.s3.amazonaws.com/index.html)'] @@ -329,9 +330,9 @@ Fly Brain Anatomy: FlyLight Gen1 and Split-GAL4 Imagery Color Depth MIPs arn:aws Fly Brain Anatomy: FlyLight Gen1 and Split-GAL4 Imagery Alignment Templates arn:aws:s3:::janelia-flylight-templates us-east-1 S3 Bucket https://open.quiltdata.com/b/janelia-flylight-imagery flylight@janelia.hhmi.org [Janelia Research Campus](https://www.janelia.org) As required [Creative Commons Attribution 4.0 International](https://creativecommons.org/lic aws-pds, biology, life sciences, imaging, neuroscience, neurobiology, neuroimaging, fluorescence imaging, microscopy, image processing Fly Brain Anatomy: FlyLight Gen1 and Split-GAL4 Imagery Imagery and Metadata arn:aws:s3:::janelia-flylight-imagery us-east-1 S3 Bucket https://open.quiltdata.com/b/janelia-flylight-imagery flylight@janelia.hhmi.org [Janelia Research Campus](https://www.janelia.org) As required [Creative Commons Attribution 4.0 International](https://creativecommons.org/lic aws-pds, biology, life sciences, imaging, neuroscience, neurobiology, neuroimaging, fluorescence imaging, microscopy, image processing Foldingathome COVID-19 Datasets Simulations of SARS-CoV-2 and associated host proteins, with emphasis on discove arn:aws:s3:::fah-public-data-covid19-cryptic-pockets us-east-2 S3 Bucket https://github.com/FoldingAtHome/coronavirus [Folding@home](https://foldingathome.org/contact-us/) Folding@home Datasets will be updated periodically as additional simulations are completed. [CC0](https://creativecommons.org/share-your-work/public-domain/cc0/) alchemical free energy calculations, aws-pds, biomolecular modeling, coronavirus, COVID-19, foldingathome, health, life sciences, molecular dynamics, protein, SARS-CoV-2, simulations, structural biology -Foldingathome COVID-19 Datasets Simulations of target proteins and bound small molecules from the COVID Moonshot arn:aws:s3:::fah-public-data-covid19-moonshot-dynamics us-east-2 S3 Bucket https://github.com/FoldingAtHome/coronavirus [Folding@home](https://foldingathome.org/contact-us/) Folding@home Datasets will be updated periodically as additional simulations are completed. [CC0](https://creativecommons.org/share-your-work/public-domain/cc0/) alchemical free energy calculations, aws-pds, biomolecular modeling, coronavirus, COVID-19, foldingathome, health, life sciences, molecular dynamics, protein, SARS-CoV-2, simulations, structural biology Foldingathome COVID-19 Datasets Absolute free energy calculations of small molecules from the COVID Moonshot, do arn:aws:s3:::fah-public-data-covid19-absolute-free-energy us-east-2 S3 Bucket https://github.com/FoldingAtHome/coronavirus [Folding@home](https://foldingathome.org/contact-us/) Folding@home Datasets will be updated periodically as additional simulations are completed. [CC0](https://creativecommons.org/share-your-work/public-domain/cc0/) alchemical free energy calculations, aws-pds, biomolecular modeling, coronavirus, COVID-19, foldingathome, health, life sciences, molecular dynamics, protein, SARS-CoV-2, simulations, structural biology Foldingathome COVID-19 Datasets Simulations of SARS-CoV-2 and associated host proteins relevant to neutralizatio arn:aws:s3:::fah-public-data-covid19-antibodies us-east-2 S3 Bucket https://github.com/FoldingAtHome/coronavirus [Folding@home](https://foldingathome.org/contact-us/) Folding@home Datasets will be updated periodically as additional simulations are completed. [CC0](https://creativecommons.org/share-your-work/public-domain/cc0/) alchemical free energy calculations, aws-pds, biomolecular modeling, coronavirus, COVID-19, foldingathome, health, life sciences, molecular dynamics, protein, SARS-CoV-2, simulations, structural biology +Foldingathome COVID-19 Datasets Simulations of target proteins and bound small molecules from the COVID Moonshot arn:aws:s3:::fah-public-data-covid19-moonshot-dynamics us-east-2 S3 Bucket https://github.com/FoldingAtHome/coronavirus [Folding@home](https://foldingathome.org/contact-us/) Folding@home Datasets will be updated periodically as additional simulations are completed. [CC0](https://creativecommons.org/share-your-work/public-domain/cc0/) alchemical free energy calculations, aws-pds, biomolecular modeling, coronavirus, COVID-19, foldingathome, health, life sciences, molecular dynamics, protein, SARS-CoV-2, simulations, structural biology Ford Multi-AV Seasonal Dataset All data arn:aws:s3:::ford-multi-av-seasonal us-west-2 S3 Bucket avdata.ford.com avdata.ford.com [Ford Motor Company](https://avdata.ford.com) New data will be added until the entire dataset is released online. This data is intended for non-commercial academic use only. It is licensed under autonomous vehicles, computer vision, lidar, mapping, robotics, transportation, urban, weather, aws-pds Foundation Medicine Adult Cancer Clinical Dataset (FM-AD) Biospecimen Supplement, Clinical Supplement arn:aws:s3:::gdc-fm-ad-phs001179-2-open us-east-1 S3 Bucket https://gdc.cancer.gov/about-gdc/contributed-genomic-data-cancer-research/founda dcf-support@datacommons.io [Center for Translational Data Science at The University of Chicago](https://ctd Genomic Data Commons (GDC) is the source of truth for this dataset; GDC offers m NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, cancer, genomic GATK Structural Variation (SV) Data This dataset contains, among others, the following data:
    * Illumina short arn:aws:s3:::gatk-sv-data-us-east-2 us-east-2 S3 Bucket https://github.com/LokaHQ/aws-open-data/blob/main/gatk-sv/documentation.md awsdata@loka.com [Loka Inc.](https://loka.com/) Every 3 months https://github.com/LokaHQ/aws-open-data/blob/main/LICENSE aws-pds, biology, bioinformatics, genetic, genomic, life sciences, structural variation, gatk-sv, cromwell @@ -343,37 +344,37 @@ GEOGLOWS Hydrological Model Version 2 GEOGLOWS V2 Forecasts arn:aws:s3:::geoglow GEOS-Chem Input Data Top-level directory for all GEOS-Chem data arn:aws:s3:::geos-chem us-east-1 S3 Bucket https://geos-chem.readthedocs.io/en/latest/geos-chem-shared-docs/supplemental-gu https://geoschem.github.io/support-team.html [GEOS-Chem Support Team](https://geoschem.github.io/support-team.html) New meteorological and emission data will be added when available. https://geoschem.github.io/license.html aws-pds, climate, weather, meteorological, environmental, air quality, chemistry, atmosphere, model ['[Browse Bucket](https://geos-chem.s3.amazonaws.com/index.html)'] GEOS-Chem Nested Input Data Top-level directory for all GEOS-Chem nested-grid data arn:aws:s3:::gcgrid us-east-1 S3 Bucket https://geos-chem.readthedocs.io http://geos-chem.org/support-team [GEOS-Chem Support Team](https://geoschem.github.io/support-team.html) New meteorological and emission data will be added when available. http://geos-chem.org/license aws-pds, climate, weather, meteorological, environmental, air quality, chemistry, atmosphere, model ['[Browse Bucket](https://s3.amazonaws.com/gcgrid/index.html)'] GX database for NCBI Foreign Contamination Screen (FCS) Tool Suite FCS-GX database arn:aws:s3:::ncbi-fcs-gx us-east-1 S3 Bucket https://github.com/ncbi/fcs/wiki/FCS-GX https://support.nlm.nih.gov/support/create-case/ [National Library of Medicine (NLM)](http://nlm.nih.gov/) Yearly [NIH Genomic Data Sharing Policy](https://osp.od.nih.gov/scientific-sharing/geno aws-pds, bioinformatics, biology, contamination, fasta, genome, assembly, genetic, health, life sciences, whole genome sequencing -Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Pediatric T-cell Acute arn:aws:s3:::kf-study-us-east-1-prd-sd-aq9kvn5p us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002276.v2.p1 Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Project in Microtia in Hispanic P arn:aws:s3:::kf-study-us-east-1-prd-sd-dz4gpqx6 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002172.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) National Heart, Lung, and Blood Institute (NHLBI) Bench to Bassinet Program: The arn:aws:s3:::kf-study-us-east-1-prd-sd-preasa7s us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001138.v3.p2 Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Craniofacial Microsomi arn:aws:s3:::kf-study-us-east-1-prd-sd-b8x3c1mx us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002130.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Pediatric T-cell Acute arn:aws:s3:::kf-study-us-east-1-prd-sd-aq9kvn5p us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002276.v2.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Project in Cornelia de Lange Synd arn:aws:s3:::kf-study-us-east-1-prd-sd-2cekq05v us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002174.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Structural Defects of The Neural Tube arn:aws:s3:::kf-study-us-east-1-prd-sd-15a2mqq9 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002591.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Children's Brain Tumor Network arn:aws:s3:::kf-study-us-east-1-prd-sd-bhjxbdqk us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002517.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Bladder Exstrophy, Epi arn:aws:s3:::kf-study-us-east-1-prd-sd-z0d9n23x us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002173.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Genomic Analysis of Esophageal Atresia and Tracheoesophageal Fistula arn:aws:s3:::kf-study-us-east-1-prd-sd-0tyvy1tw us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002161.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Clinical Sequencing Exploratory Research Consortium: Incorporation of Genomic Se arn:aws:s3:::kf-study-us-east-1-prd-sd-zfgdg5ys us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001683.v2.p1 Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Pediatric Research Project on the Genomic Analysis of Congenital Dia arn:aws:s3:::kf-study-us-east-1-prd-sd-46sk55a3 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001110.v2.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) National Heart, Lung, and Blood Institute (NHLBI) Bench to Bassinet Program: The arn:aws:s3:::kf-study-us-east-1-prd-sd-preasa7s us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001138.v3.p2 +Gabriella Miller Kids First Pediatric Research Program (Kids First) The Collaboration to Assess Risk and Identify LoNG-term outcomes for Children wi arn:aws:s3:::kf-study-us-east-1-prd-sd-ffvq3t38 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002577.v1.p1 Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First (GMKF) Pediatric Research Program in Susceptibility arn:aws:s3:::kf-study-us-east-1-prd-sd-ygva0e1c us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001228 Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Genomic Studies of Orofacial Cleft Birth Defects arn:aws:s3:::kf-study-us-east-1-prd-sd-9pyzahhe us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001168.v2.p2 Gabriella Miller Kids First Pediatric Research Program (Kids First) GMKF: Kids First Pediatric Research Program on Congenital Cranial Dysinnervation arn:aws:s3:::kf-study-us-east-1-prd-sd-dztb5hrr us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001247.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) The Collaboration to Assess Risk and Identify LoNG-term outcomes for Children wi arn:aws:s3:::kf-study-us-east-1-prd-sd-ffvq3t38 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002577.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Pediatric Research Project on Adolescent Idiopathic Scoliosis arn:aws:s3:::kf-study-us-east-1-prd-sd-rm8afw0r us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001410.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Clinical Sequencing Exploratory Research Consortium: Incorporation of Genomic Se arn:aws:s3:::kf-study-us-east-1-prd-sd-zfgdg5ys us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001683.v2.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Genomics of Orofacial Cleft Birth Defects in Latin American Families arn:aws:s3:::kf-study-us-east-1-prd-sd-r0eprsgs us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001420.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Genomic Analysis of Esophageal Atresia and Tracheoesophageal Fistula arn:aws:s3:::kf-study-us-east-1-prd-sd-0tyvy1tw us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002161.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Bladder Exstrophy, Epi arn:aws:s3:::kf-study-us-east-1-prd-sd-z0d9n23x us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002173.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program: An Integrated Clinical a arn:aws:s3:::kf-study-us-east-1-prd-sd-zxjffmef us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001714.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First Pediatric Research Study in Familial Predisposition to Hematopoietic arn:aws:s3:::kf-study-us-east-1-prd-sd-w0v965xz us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001738.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Chordoma Foundation Dataset arn:aws:s3:::kf-study-us-east-1-prd-sd-7spqtt8m us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://cavatica.sbgenomics.com/p/datasets#cavatica/cbttc-cdhm-pa-01 Gabriella Miller Kids First Pediatric Research Program (Kids First) Pediatric Brain Tumor Atlas: PNOC arn:aws:s3:::kf-study-us-east-1-prd-sd-m3dbxd12 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002517.v1.p1 Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Genetics at the Inters arn:aws:s3:::kf-study-us-east-1-prd-sd-jws3v24d us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001846.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Structural Defects of The Neural Tube arn:aws:s3:::kf-study-us-east-1-prd-sd-15a2mqq9 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002591.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Children's Brain Tumor Network arn:aws:s3:::kf-study-us-east-1-prd-sd-bhjxbdqk us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002517.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Project in Cornelia de Lange Synd arn:aws:s3:::kf-study-us-east-1-prd-sd-2cekq05v us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002174.v1.p1 Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Genetics of Kidney and Urinary Tract Malformations arn:aws:s3:::kf-study-us-east-1-prd-sd-nmvv8a1y us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002162.v2.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Enchondromatoses and R arn:aws:s3:::kf-study-us-east-1-prd-sd-7nq9151j us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001987.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First Pediatric Research Study in Familial Predisposition to Hematopoietic arn:aws:s3:::kf-study-us-east-1-prd-sd-vttshwv4 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001738.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First and INCLUDE: Down Syndrome, Heart Defects, and Acute Lymphoblastic Le arn:aws:s3:::kf-study-us-east-1-prd-sd-z6mwd3h0 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002330.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Germline and Somatic V arn:aws:s3:::kf-study-us-east-1-prd-sd-pet7q6f2 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002187.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Whole Genome Sequencing of Nonsyndromic Craniosynostosis arn:aws:s3:::kf-study-us-east-1-prd-sd-p445achv us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001806.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First Pediatric Research Study in Familial Predisposition to Hematopoietic arn:aws:s3:::kf-study-us-east-1-prd-sd-w0v965xz us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001738.v1.p1 Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Whole Genome Sequencin arn:aws:s3:::kf-study-us-east-1-prd-sd-dk0krwk8 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001997.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Enchondromatoses and R arn:aws:s3:::kf-study-us-east-1-prd-sd-7nq9151j us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001987.v1.p1 Gabriella Miller Kids First Pediatric Research Program (Kids First) Discovering the Genetic Basis of Human Neuroblastoma: A Gabriella Miller Kids Fi arn:aws:s3:::kf-study-us-east-1-prd-sd-dypmehhf us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001436.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Whole Genome Sequencing of Nonsyndromic Craniosynostosis arn:aws:s3:::kf-study-us-east-1-prd-sd-p445achv us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001806.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program in Germline and Somatic V arn:aws:s3:::kf-study-us-east-1-prd-sd-pet7q6f2 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002187.v1.p1 -Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First and INCLUDE: Down Syndrome, Heart Defects, and Acute Lymphoblastic Le arn:aws:s3:::kf-study-us-east-1-prd-sd-z6mwd3h0 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002330.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Genomics of Orofacial Cleft Birth Defects in Latin American Families arn:aws:s3:::kf-study-us-east-1-prd-sd-r0eprsgs us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001420.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Gabriella Miller Kids First Pediatric Research Program: An Integrated Clinical a arn:aws:s3:::kf-study-us-east-1-prd-sd-zxjffmef us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001714.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Chordoma Foundation Dataset arn:aws:s3:::kf-study-us-east-1-prd-sd-7spqtt8m us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://cavatica.sbgenomics.com/p/datasets#cavatica/cbttc-cdhm-pa-01 Gabriella Miller Kids First Pediatric Research Program (Kids First) Disorders/Differences of Sex Development (DSD) Study Performed at UCLA in Collab arn:aws:s3:::kf-study-us-east-1-prd-sd-6fpyjqbr us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001178.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First: Pediatric Research Project on Adolescent Idiopathic Scoliosis arn:aws:s3:::kf-study-us-east-1-prd-sd-rm8afw0r us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001410.v1.p1 +Gabriella Miller Kids First Pediatric Research Program (Kids First) Kids First Pediatric Research Study in Familial Predisposition to Hematopoietic arn:aws:s3:::kf-study-us-east-1-prd-sd-vttshwv4 us-east-1 S3 Bucket https://kidsfirstdrc.org/ support@kidsfirstdrc.org [The Gabriella Miller Kids First Data Resource Center at the Children's Hospital Data is updated on a rolling basis by the KFDRC to make data available asrapidly NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genetic, genomic, Homo sapiens, pediatric, structural birth defect, whole genome sequencing, STRIDES https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001738.v1.p1 Galaxy Evolution Explorer Satellite (GALEX) Galex Project data files arn:aws:s3:::stpubdata/galex us-east-1 S3 Bucket https://archive.stsci.edu/missions-and-data/galex archive@stsci.edu [Space Telescope Science Institute](http://www.stsci.edu/) Never Public Domain. Attribution required for refereed scientific papers. astronomy, aws-pds False Garvan Institute Long Read Sequencing Benchmark Data Currently, the dataset contains two reference samples that will be useful for be arn:aws:s3:::gtgseq us-west-2 S3 Bucket https://github.com/GenTechGp/gtgseq [gtgseq team](https://github.com/GenTechGp/gtgseq/issues) Genomic Technologies Group, Garvan Institute of Medical Research (https://www.ga We plan to extend this open dataset with additional samples, including sequencin [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) genomic, life sciences, long read sequencing, bioinformatics, aws-pds ['[Browse Bucket](https://gtgseq.s3.amazonaws.com/index.html)'] Genome Aggregation Database (gnomAD) gnomAD summary data aggregated from large-scale human genome and exome sequencin arn:aws:s3:::gnomad-public-us-east-1 us-east-1 S3 Bucket https://gnomad.broadinstitute.org/about gnomad@broadinstitute.org gnomAD Production Team at the Broad Institute Data from new releases are made public as soon as they are available. New releas [MIT](https://github.com/broadinstitute/gnomad_methods/blob/master/LICENSE); [te aws-pds, population genetics, population, whole genome sequencing, genomic, genetic, life sciences, bioinformatics, short read sequencing @@ -382,23 +383,23 @@ Genome in a Bottle on AWS GIAB release data, last updated 11/12/2020 arn:aws:s3: Genomic Characterization of Metastatic Castration Resistant Prostate Cancer Whole Genome Sequencing, RNA Sequencing arn:aws:s3:::gdc-wcdt-mcrpc-phs001648-2-open us-east-1 S3 Bucket https://isb-cancer-genomics-cloud.readthedocs.io/en/latest/sections/data/WCDT_ab support@nci-gdc.datacommons.io [Center for Translational Data Science at The University of Chicago](https://ctd Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers month NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access- aws-pds, life sciences, cancer, genomic, whole genome sequencing, STRIDES GeoNet Aotearoa New Zealand Data Data files arn:aws:s3:::geonet-open-data ap-southeast-2 S3 Bucket https://github.com/GeoNet/data-tutorials/tree/main/AWS_Open_Data For questions regarding data content or quality, please visit [the GeoNet site]( [GeoNet](https://www.geonet.org.nz/) Daily for majority of datasets. GeoNet data are made available free of charge under '[CC3 licence](https://creat aws-pds, broadband, coastal, Continuously Operating Reference Station (CORS), earthquakes, geophysics, geoscience, geoscience, GNSS, GPS, oceans, RINEX, seismology Geosnap Data, Center for Geospatial Sciences Data files stored as Apache parquet and GeoTiff in a public bucket arn:aws:s3:::spatial-ucr us-east-1 S3 Bucket https://spatialucr.github.io/geosnap-guide/content/home Eli Knaap [UCR Center for Geospatial Sciences](https://spatial.ucr.edu) Annually BSD aws-pds, urban, geospatial, demographics -Global 30m Height Above Nearest Drainage (HAND) Notifications for new data arn:aws:sns:us-west-2:879002409890:glo-30-hand-object_created us-west-2 SNS Topic https://glo-30-hand.s3.us-west-2.amazonaws.com/readme.html https://asf.alaska.edu/asf/contact-us/ [The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/) None, except HAND may be updated if the[ Copernicus GLO-30 Public](https://regis Copyright 2022 Alaska Satellite Facility (ASF). Produced using the Copernicus Wo aws-pds, elevation, hydrology, agriculture, disaster response, satellite imagery, geospatial, cog, stac Global 30m Height Above Nearest Drainage (HAND) GLO-30 HAND S3 bucket arn:aws:s3:::glo-30-hand us-west-2 S3 Bucket https://glo-30-hand.s3.us-west-2.amazonaws.com/readme.html https://asf.alaska.edu/asf/contact-us/ [The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/) None, except HAND may be updated if the[ Copernicus GLO-30 Public](https://regis Copyright 2022 Alaska Satellite Facility (ASF). Produced using the Copernicus Wo aws-pds, elevation, hydrology, agriculture, disaster response, satellite imagery, geospatial, cog, stac ['[STAC V1.0.0 endpoint](https://stac.asf.alaska.edu/collections/glo-30-hand)', '[Via STAC Browser](https://radiantearth.github.io/stac-browser/#/external/stac.asf.alaska.edu/collections/glo-30-hand)'] +Global 30m Height Above Nearest Drainage (HAND) Notifications for new data arn:aws:sns:us-west-2:879002409890:glo-30-hand-object_created us-west-2 SNS Topic https://glo-30-hand.s3.us-west-2.amazonaws.com/readme.html https://asf.alaska.edu/asf/contact-us/ [The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/) None, except HAND may be updated if the[ Copernicus GLO-30 Public](https://regis Copyright 2022 Alaska Satellite Facility (ASF). Produced using the Copernicus Wo aws-pds, elevation, hydrology, agriculture, disaster response, satellite imagery, geospatial, cog, stac Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (af-south-1 region) arn:aws:sns:af-south-1:288719126026:gbif-open-data-af-south-1-object_created af-south-1 SNS Topic Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences -Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (af-south-1 region) arn:aws:s3:::gbif-open-data-af-south-1 af-south-1 S3 Bucket Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences ['[Browse bucket](https://gbif-open-data-af-south-1.s3.af-south-1.amazonaws.com/index.html)'] -Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (ap-southeast-2 region) arn:aws:s3:::gbif-open-data-ap-southeast-2 ap-southeast-2 S3 Bucket Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences ['[Browse bucket](https://gbif-open-data-ap-southeast-2.s3.ap-southeast-2.amazonaws.com/index.html)'] -Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (us-east-1 region) arn:aws:sns:af-south-1:288719126026:gbif-open-data-us-east-1-object_created us-east-1 SNS Topic Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences -Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (eu-central-1 region) arn:aws:s3:::gbif-open-data-eu-central-1 eu-central-1 S3 Bucket Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences ['[Browse bucket](https://gbif-open-data-eu-central-1.s3.eu-central-1.amazonaws.com/index.html)'] Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (sa-east-1 region) arn:aws:s3:::gbif-open-data-sa-east-1 sa-east-1 S3 Bucket Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences ['[Browse bucket](https://gbif-open-data-sa-east-1.s3.sa-east-1.amazonaws.com/index.html)'] -Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (us-east-1 region) arn:aws:s3:::gbif-open-data-us-east-1 us-east-1 S3 Bucket Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences ['[Browse bucket](https://gbif-open-data-us-east-1.s3.us-east-1.amazonaws.com/index.html)'] Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (ap-southeast-2 region) arn:aws:sns:af-south-1:288719126026:gbif-open-data-ap-southeast-2-object_created ap-southeast-2 SNS Topic Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences -Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (eu-central-1 region) arn:aws:sns:af-south-1:288719126026:gbif-open-data-eu-central-1-object_created eu-central-1 SNS Topic Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (sa-east-1 region) arn:aws:sns:af-south-1:288719126026:gbif-open-data-sa-east-1-object_created sa-east-1 SNS Topic Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences +Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (us-east-1 region) arn:aws:s3:::gbif-open-data-us-east-1 us-east-1 S3 Bucket Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences ['[Browse bucket](https://gbif-open-data-us-east-1.s3.us-east-1.amazonaws.com/index.html)'] +Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (us-east-1 region) arn:aws:sns:af-south-1:288719126026:gbif-open-data-us-east-1-object_created us-east-1 SNS Topic Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences +Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (eu-central-1 region) arn:aws:sns:af-south-1:288719126026:gbif-open-data-eu-central-1-object_created eu-central-1 SNS Topic Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences +Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (ap-southeast-2 region) arn:aws:s3:::gbif-open-data-ap-southeast-2 ap-southeast-2 S3 Bucket Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences ['[Browse bucket](https://gbif-open-data-ap-southeast-2.s3.ap-southeast-2.amazonaws.com/index.html)'] +Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (af-south-1 region) arn:aws:s3:::gbif-open-data-af-south-1 af-south-1 S3 Bucket Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences ['[Browse bucket](https://gbif-open-data-af-south-1.s3.af-south-1.amazonaws.com/index.html)'] +Global Biodiversity Information Facility (GBIF) Species Occurrences GBIF species occurrence data in Parquet format (eu-central-1 region) arn:aws:s3:::gbif-open-data-eu-central-1 eu-central-1 S3 Bucket Documentation can be found [here](https://github.com/gbif/occurrence/blob/master helpdesk@gbif.org The Global Biodiversity Information Facility ([GBIF](https://www.gbif.org)) Snapshots of GBIF are taken on a monthly basis [CC-BY-NC](https://creativecommons.org/licenses/by-nc/4.0/) under the GBIF [term aws-pds, earth observation, biodiversity, bioinformatics, conservation, life sciences ['[Browse bucket](https://gbif-open-data-eu-central-1.s3.eu-central-1.amazonaws.com/index.html)'] Global Carbon Budget Data Global Carbon Budget Open Data - Trendy arn:aws:s3:::gcbo-opendata eu-west-2 S3 Bucket https://globalcarbonbudgetdata.org/ For any data queries please contact gcbo-data@exeter.ac.uk. Global Carbon Budget Office at the University of Exeter, UK Annual Open Data. There are no restrictions on the use of this data. climate, land, oceans Global Database of Events, Language and Tone (GDELT) Project data files arn:aws:s3:::gdelt-open-data us-east-1 S3 Bucket http://www.gdeltproject.org/ http://www.gdeltproject.org/about.html#contact Unmanaged Not currently being updated http://www.gdeltproject.org/about.html#termsofuse aws-pds, events, disaster response Global Database of Events, Language and Tone (GDELT) Notifications for new data arn:aws:sns:us-east-1:928094251383:gdelt-csv us-east-1 SNS Topic http://www.gdeltproject.org/ http://www.gdeltproject.org/about.html#contact Unmanaged Not currently being updated http://www.gdeltproject.org/about.html#termsofuse aws-pds, events, disaster response -Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set 1x1 degree tiled data and metadata in a S3 bucket, Global VRT mosaics (vrt arn:aws:s3:::sentinel-1-global-coherence-earthbigdata/data/tiles us-west-2 S3 Bucket http://sentinel-1-global-coherence-earthbigdata.s3-website-us-west-2.amazonaws.c For questions regarding data methodology or delivery, contact info@earthbigdata. [Earth Big Data LLC](https://earthbigdata.com/) The data set covers the time period from 1-Dec-2019 to 30-Nov-2020. No updates a The use of these data fall under the terms and conditions of the [Creative Commo global, satellite imagery, ecosystems, agriculture, urban, infrastructure, earth observation, earthquakes, environmental, geology, geophysics, geospatial, mapping, natural resource, cog, synthetic aperture radar, aws-pds Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set Global mosaics at 001 degree pixel spacing as cloud optimized GeoTIFFs in a S3 arn:aws:s3:::sentinel-1-global-coherence-earthbigdata/data/mosaics us-west-2 S3 Bucket http://sentinel-1-global-coherence-earthbigdata.s3-website-us-west-2.amazonaws.c For questions regarding data methodology or delivery, contact info@earthbigdata. [Earth Big Data LLC](https://earthbigdata.com/) The data set covers the time period from 1-Dec-2019 to 30-Nov-2020. No updates a The use of these data fall under the terms and conditions of the [Creative Commo global, satellite imagery, ecosystems, agriculture, urban, infrastructure, earth observation, earthquakes, environmental, geology, geophysics, geospatial, mapping, natural resource, cog, synthetic aperture radar, aws-pds +Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set 1x1 degree tiled data and metadata in a S3 bucket, Global VRT mosaics (vrt arn:aws:s3:::sentinel-1-global-coherence-earthbigdata/data/tiles us-west-2 S3 Bucket http://sentinel-1-global-coherence-earthbigdata.s3-website-us-west-2.amazonaws.c For questions regarding data methodology or delivery, contact info@earthbigdata. [Earth Big Data LLC](https://earthbigdata.com/) The data set covers the time period from 1-Dec-2019 to 30-Nov-2020. No updates a The use of these data fall under the terms and conditions of the [Creative Commo global, satellite imagery, ecosystems, agriculture, urban, infrastructure, earth observation, earthquakes, environmental, geology, geophysics, geospatial, mapping, natural resource, cog, synthetic aperture radar, aws-pds Golden Retriever Lifetime Study: Whole genome genotyping of Golden Retrievers on Axiom HD Arrays Two zip files containing genotyping data from Axiom Array sets A and B, as well arn:aws:s3:::mafgrlsgenome us-west-2 S3 Bucket https://datacommons.morrisanimalfoundation.org/artisanal_dataset/151 datacommons@morrisanimalfoundation.org [Morris Animal Foundation](https://www.morrisanimalfoundation.org/) Static CC-BY-SA aws-pds, genome, genotyping, golden retriever lifetime study, morris animal foundation False Google Books Ngrams A data set containing Google Books n-gram corpora in a Hadoop friendly file form arn:aws:s3:::datasets.elasticmapreduce/ngrams/books/ us-east-1 S3 Bucket http://books.google.com/ngrams/ https://books.google.com/ngrams Not managed Not updated Creative Commons Attribution 3.0 Unported License amazon.science, natural language processing Google Brain Genomics Sequencing Dataset for Benchmarking and Development FASTQ files for nine human samples comprising three parent-child trios at 40X 30 arn:aws:s3:::genomics-benchmark-datasets/google-brain us-east-1 S3 Bucket https://genomics-benchmark-datasets.s3.amazonaws.com/README.txt genomics-benchmark-datasets@amazon.com Amazon Web Services Occasionally as new derived files (alignment files or variant call files) are ge [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) amazon.science, bioinformatics, life sciences, genetic, genomic, fastq, short read sequencing, long read sequencing, whole exome sequencing, whole genome sequencing @@ -415,11 +416,11 @@ Harvard Electroencephalography Database Harvard Electroencephalography Database Harvard-Emory ECG Database Harvard-Emory ECG Database arn:aws:s3:us-east-1:184438910517:accesspoint/bdsp-ecg-accesspoint/ECG/ us-east-1 S3 Bucket More documentation can be found [here](https://doi.org/10.60508/g072-7n95) contact@bdsp.io [Brain Data Science Platform](https://bdsp.io/) New data is added as soon as it is available. "BDSP Restricted Health Data License 1.0.0 ""[BDSP Licence](https://bdsp.io/conten" aws-pds, neurophysiology, medicine, machine learning, neuroscience, deep learning, life sciences, bioinformatics https://doi.org/10.60508/g072-7n95 Hecatomb Databases Hecatomb Database Resources arn:aws:s3:::hecatombdatabases us-west-2 S3 Bucket https://hecatomb.readthedocs.io/en/latest/ shandley@wustl.edu [Washington University in St. Louis](https://wustl.edu/) Every 6 to 12 months [MIT](https://opensource.org/licenses/MIT) aws-pds, life sciences, genetic, genomic, metagenomics, bioinformatics, whole genome sequencing, virus ['[Explore Bucket](https://hecatombdatabases.s3.us-west-2.amazonaws.com/index.html)'] Helpful Sentences from Reviews Helpful Sentences from Reviews arn:aws:s3:::helpful-sentences-from-reviews us-east-1 S3 Bucket https://helpful-sentences-from-reviews.s3.amazonaws.com/README.md gkutiel@amazon.com [Amazon](https://www.amazon.com/) Not updated This data is available for anyone to use under the terms of the CDLA-Sharing lic amazon.science, information retrieval, natural language processing, text analysis, json ['[train.json](https://helpful-sentences-from-reviews.s3.amazonaws.com/train.json)', '[test.json](https://helpful-sentences-from-reviews.s3.amazonaws.com/test.json)'] -High Resolution Canopy Height Maps by WRI and Meta Sub Saharan Africa Height maps GeoTIFF files and Geojson files with observation arn:aws:s3:::dataforgood-fb-data/forests/v1/subsaharan_africa/ us-east-1 S3 Bucket https://github.com/facebookresearch/HighResCanopyHeight dataforgood@meta.com [Meta](https://dataforgood.fb.com/) TBD https://creativecommons.org/licenses/by/4.0/ aws-pds, cog, earth observation, climate, land cover, agriculture, machine learning, aerial imagery, satellite imagery, image processing, geospatial -High Resolution Canopy Height Maps by WRI and Meta Global Canopy Height maps GeoTIFF files and Geojson files with observation date arn:aws:s3:::dataforgood-fb-data/forests/v1/alsgedi_global_v6_float/ us-east-1 S3 Bucket https://github.com/facebookresearch/HighResCanopyHeight dataforgood@meta.com [Meta](https://dataforgood.fb.com/) TBD https://creativecommons.org/licenses/by/4.0/ aws-pds, cog, earth observation, climate, land cover, agriculture, machine learning, aerial imagery, satellite imagery, image processing, geospatial -High Resolution Canopy Height Maps by WRI and Meta California Canopy Height maps GeoTIFF files and Geojson files with observation arn:aws:s3:::dataforgood-fb-data/forests/v1/California/ us-east-1 S3 Bucket https://github.com/facebookresearch/HighResCanopyHeight dataforgood@meta.com [Meta](https://dataforgood.fb.com/) TBD https://creativecommons.org/licenses/by/4.0/ aws-pds, cog, earth observation, climate, land cover, agriculture, machine learning, aerial imagery, satellite imagery, image processing, geospatial High Resolution Canopy Height Maps by WRI and Meta Sao Paulo Canopy Height maps GeoTIFF files and Geojson files with observation d arn:aws:s3:::dataforgood-fb-data/forests/v1/sao_paulo/ us-east-1 S3 Bucket https://github.com/facebookresearch/HighResCanopyHeight dataforgood@meta.com [Meta](https://dataforgood.fb.com/) TBD https://creativecommons.org/licenses/by/4.0/ aws-pds, cog, earth observation, climate, land cover, agriculture, machine learning, aerial imagery, satellite imagery, image processing, geospatial +High Resolution Canopy Height Maps by WRI and Meta Sub Saharan Africa Height maps GeoTIFF files and Geojson files with observation arn:aws:s3:::dataforgood-fb-data/forests/v1/subsaharan_africa/ us-east-1 S3 Bucket https://github.com/facebookresearch/HighResCanopyHeight dataforgood@meta.com [Meta](https://dataforgood.fb.com/) TBD https://creativecommons.org/licenses/by/4.0/ aws-pds, cog, earth observation, climate, land cover, agriculture, machine learning, aerial imagery, satellite imagery, image processing, geospatial High Resolution Canopy Height Maps by WRI and Meta Model weights arn:aws:s3:::dataforgood-fb-data/forests/v1/models/ us-east-1 S3 Bucket https://github.com/facebookresearch/HighResCanopyHeight dataforgood@meta.com [Meta](https://dataforgood.fb.com/) TBD https://creativecommons.org/licenses/by/4.0/ aws-pds, cog, earth observation, climate, land cover, agriculture, machine learning, aerial imagery, satellite imagery, image processing, geospatial +High Resolution Canopy Height Maps by WRI and Meta California Canopy Height maps GeoTIFF files and Geojson files with observation arn:aws:s3:::dataforgood-fb-data/forests/v1/California/ us-east-1 S3 Bucket https://github.com/facebookresearch/HighResCanopyHeight dataforgood@meta.com [Meta](https://dataforgood.fb.com/) TBD https://creativecommons.org/licenses/by/4.0/ aws-pds, cog, earth observation, climate, land cover, agriculture, machine learning, aerial imagery, satellite imagery, image processing, geospatial +High Resolution Canopy Height Maps by WRI and Meta Global Canopy Height maps GeoTIFF files and Geojson files with observation date arn:aws:s3:::dataforgood-fb-data/forests/v1/alsgedi_global_v6_float/ us-east-1 S3 Bucket https://github.com/facebookresearch/HighResCanopyHeight dataforgood@meta.com [Meta](https://dataforgood.fb.com/) TBD https://creativecommons.org/licenses/by/4.0/ aws-pds, cog, earth observation, climate, land cover, agriculture, machine learning, aerial imagery, satellite imagery, image processing, geospatial High Resolution Downscaled Climate Data for Southeast Alaska High-res dynamically downscaled climate data for Southeast Alaska arn:aws:s3:::wrf-se-ak-ar5 us-west-2 S3 Bucket https://www.sciencebase.gov/catalog/item/5f93658882ce720ee2d598a7 http://directory.iarc.uaf.edu/richard-lader Scenarios Network for Alaska + Arctic Planning at the International Arctic Resea as needed https://creativecommons.org/licenses/by/4.0/ aws-pds, agriculture, climate, coastal, earth observation, environmental, weather, aws-pds, sustainability ['[Browse Bucket](http://wrf-se-ak-ar5.s3-website-us-west-2.amazonaws.com/)'] High Resolution Population Density Maps + Demographic Estimates by CIESIN and Meta CSV files arn:aws:s3:::dataforgood-fb-data/csv/ us-east-1 S3 Bucket [Project overview](https://dataforgood.facebook.com/dfg/docs/methodology-high-re disastermaps@fb.com [Meta](https://dataforgood.fb.com/) Quarterly https://creativecommons.org/licenses/by/4.0/ population, demographics, machine learning, aerial imagery, satellite imagery, image processing, geospatial, disaster response, aws-pds High Resolution Population Density Maps + Demographic Estimates by CIESIN and Meta Cloud-optimized GeoTIFF files arn:aws:s3:::dataforgood-fb-data/hrsl-cogs/ us-east-1 S3 Bucket [Project overview](https://dataforgood.facebook.com/dfg/docs/methodology-high-re disastermaps@fb.com [Meta](https://dataforgood.fb.com/) Quarterly https://creativecommons.org/licenses/by/4.0/ population, demographics, machine learning, aerial imagery, satellite imagery, image processing, geospatial, disaster response, aws-pds @@ -449,17 +450,17 @@ Indexes for Kaiju This AWS S3 bucket contains pre-built indexes for Kaiju arn:aw Indiana Statewide Digital Aerial Imagery Catalog State of Indiana digital orthophotography archive arn:aws:s3:::gisimageryingov us-east-2 S3 Bucket https://imagery.gio.in.gov/ sscholer@iot.in.gov Indiana Geographic Information Office The State of Indiana has had a 4-year cycle collecting imagery. The collections Access to Indiana Geographic Information Office Orthoimagery is governed by Crea aerial imagery, aws-pds, earth observation, geospatial, imaging, mapping, cog, natural resource, sustainability, agriculture Indiana Statewide Elevation Catalog State of Indiana Elevation archive arn:aws:s3:::giselevationingov us-east-2 S3 Bucket https://elevation.gio.in.gov/ sscholer@iot.in.gov Indiana Geographic Information Office The State of Indiana has another four-year cycle of collecting orthoimagery and Access to Indiana Geographic Information Office Lidar is governed by Creative Co lidar, aws-pds, earth observation, geospatial, imaging, mapping, natural resource, sustainability, agriculture Integrative Analysis of Lung Adenocarcinoma in Environment and Genetics Lung cancer Etiology (Phase 2) Whole Genome Sequencing, Whole Exome Sequencing arn:aws:s3:::gdc-cddp-eagle-1-phs001239-2-open us-east-1 S3 Bucket https://ftp.ncbi.nlm.nih.gov/dbgap/studies/phs001239/phs001239.v1.p1 support@nci-gdc.datacommons.io [Center for Translational Data Science at The University of Chicago](https://ctd Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers month (NIH Genomic Data Sharing Policy)[https://gdc.cancer.gov/access-data/data-access cancer, whole exome sequencing, whole genome sequencing, aws-pds, life sciences, STRIDES, genomic, epigenomics -Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) Notifications for new data arn:aws:sns:us-west-2:367587189974:its-live-data-object_created us-west-2 SNS Topic https://its-live-data.s3.us-west-2.amazonaws.com/README.html If you have questions about the data itself or the processing methods used, plea [The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/) Up to daily, as new satellite imagery is made available. [Creative Commons Zero (CC0) 1.0 Universal License](https://creativecommons.org/ aws-pds, ice, earth observation, satellite imagery, geophysics, geospatial, global, cog, netcdf, zarr, stac Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) ITS_LIVE Data S3 Bucket arn:aws:s3:::its-live-data us-west-2 S3 Bucket https://its-live-data.s3.us-west-2.amazonaws.com/README.html If you have questions about the data itself or the processing methods used, plea [The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/) Up to daily, as new satellite imagery is made available. [Creative Commons Zero (CC0) 1.0 Universal License](https://creativecommons.org/ aws-pds, ice, earth observation, satellite imagery, geophysics, geospatial, global, cog, netcdf, zarr, stac ['[Browse Bucket](https://its-live-data.s3.amazonaws.com/index.html)'] +Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) Notifications for new data arn:aws:sns:us-west-2:367587189974:its-live-data-object_created us-west-2 SNS Topic https://its-live-data.s3.us-west-2.amazonaws.com/README.html If you have questions about the data itself or the processing methods used, plea [The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/) Up to daily, as new satellite imagery is made available. [Creative Commons Zero (CC0) 1.0 Universal License](https://creativecommons.org/ aws-pds, ice, earth observation, satellite imagery, geophysics, geospatial, global, cog, netcdf, zarr, stac International Neuroimaging Data-Sharing Initiative (INDI) Neuroimaging data for the International Neuroimaging Data-Sharing Initiative (IN arn:aws:s3:::fcp-indi us-east-1 S3 Bucket http://fcon_1000.projects.nitrc.org/ [FCP-INDI](alexandre.franco@childmind.org) [Child Mind Institute](https://childmind.org/our-research/) Each dataset within INDI has its own release schedule. See release date and freq ODC-By v1.0 for imaging data and BSD 3-Clause for CPAC, unless otherwise specifi aws-pds, life sciences, imaging, neuroimaging, neuroscience, magnetic resonance imaging, Homo sapiens JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Digital Terrain Models Digital terrain models, orthoimages, shaded reliefs, and quality assurance docum arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/usgs_dtms/ us-west-2 S3 Bucket https://stac.astrogeology.usgs.gov/docs/data/moon/kaguyatc/ https://answers.usgs.gov/ [NASA](https://www.nasa.gov) The Kaguya/SELENE mission has completed. At least one update to this dataset is [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, planetary, elevation, stac, cog ['[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_usgs_dtms)'] -JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Observations Scenes and metadata for stereoscopic observing mode arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/stereoscopic/uncontrolled/ us-west-2 S3 Bucket https://stac.astrogeology.usgs.gov/docs/data/moon/kaguyatc/ https://answers.usgs.gov/ [NASA](https://www.nasa.gov) The Kaguya/SELENE mission has completed. No updates to this dataset are planned. [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, planetary, satellite imagery, stac, cog ['[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_stereoscopic_uncontrolled_observations)'] JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Observations Scenes and metadata for monoscopic observing mode arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/monoscopic/uncontrolled/ us-west-2 S3 Bucket https://stac.astrogeology.usgs.gov/docs/data/moon/kaguyatc/ https://answers.usgs.gov/ [NASA](https://www.nasa.gov) The Kaguya/SELENE mission has completed. No updates to this dataset are planned. [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, planetary, satellite imagery, stac, cog ['[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_monoscopic_uncontrolled_observations)'] JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Observations Scenes and metadata for spectral profiler (spsupport) observing mode arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/spsupport/uncontrolled/ us-west-2 S3 Bucket https://stac.astrogeology.usgs.gov/docs/data/moon/kaguyatc/ https://answers.usgs.gov/ [NASA](https://www.nasa.gov) The Kaguya/SELENE mission has completed. No updates to this dataset are planned. [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, planetary, satellite imagery, stac, cog ['[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_spsupport_uncontrolled_observations)'] -JMA Himawari-8/9 New data notifications for Himawari-9, only Lambda and SQS protocols allowed arn:aws:sns:us-east-1:123901341784:NewHimawariNineObject us-east-1 SNS Topic https://www.data.jma.go.jp/mscweb/en/himawari89/cloud_service/cloud_service.html For any questions regarding data delivery or any general questions regarding the [NOAA](http://www.noaa.gov/) 10 minutes for Full Disk, 2.5 minutes for Regions 1, 2, and 3, and .5 minutes fo Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, geospatial, weather, earth observation, meteorological, disaster response, satellite imagery -JMA Himawari-8/9 Himawari-9 Imagery arn:aws:s3:::noaa-himawari9 us-east-1 S3 Bucket https://www.data.jma.go.jp/mscweb/en/himawari89/cloud_service/cloud_service.html For any questions regarding data delivery or any general questions regarding the [NOAA](http://www.noaa.gov/) 10 minutes for Full Disk, 2.5 minutes for Regions 1, 2, and 3, and .5 minutes fo Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, geospatial, weather, earth observation, meteorological, disaster response, satellite imagery ['[Browse Bucket](https://noaa-himawari9.s3.amazonaws.com/index.html)'] +JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Observations Scenes and metadata for stereoscopic observing mode arn:aws:s3:::astrogeo-ard/moon/kaguya/terrain_camera/stereoscopic/uncontrolled/ us-west-2 S3 Bucket https://stac.astrogeology.usgs.gov/docs/data/moon/kaguyatc/ https://answers.usgs.gov/ [NASA](https://www.nasa.gov) The Kaguya/SELENE mission has completed. No updates to this dataset are planned. [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, planetary, satellite imagery, stac, cog ['[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/kaguya_terrain_camera_stereoscopic_uncontrolled_observations)'] JMA Himawari-8/9 New data notifications for Himawari-8, only Lambda and SQS protocols allowed arn:aws:sns:us-east-1:123901341784:NewHimawari8Object us-east-1 SNS Topic https://www.data.jma.go.jp/mscweb/en/himawari89/cloud_service/cloud_service.html For any questions regarding data delivery or any general questions regarding the [NOAA](http://www.noaa.gov/) 10 minutes for Full Disk, 2.5 minutes for Regions 1, 2, and 3, and .5 minutes fo Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, geospatial, weather, earth observation, meteorological, disaster response, satellite imagery +JMA Himawari-8/9 Himawari-9 Imagery arn:aws:s3:::noaa-himawari9 us-east-1 S3 Bucket https://www.data.jma.go.jp/mscweb/en/himawari89/cloud_service/cloud_service.html For any questions regarding data delivery or any general questions regarding the [NOAA](http://www.noaa.gov/) 10 minutes for Full Disk, 2.5 minutes for Regions 1, 2, and 3, and .5 minutes fo Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, geospatial, weather, earth observation, meteorological, disaster response, satellite imagery ['[Browse Bucket](https://noaa-himawari9.s3.amazonaws.com/index.html)'] JMA Himawari-8/9 Himawari-8 Imagery arn:aws:s3:::noaa-himawari8 us-east-1 S3 Bucket https://www.data.jma.go.jp/mscweb/en/himawari89/cloud_service/cloud_service.html For any questions regarding data delivery or any general questions regarding the [NOAA](http://www.noaa.gov/) 10 minutes for Full Disk, 2.5 minutes for Regions 1, 2, and 3, and .5 minutes fo Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, geospatial, weather, earth observation, meteorological, disaster response, satellite imagery ['[Browse Bucket](https://noaa-himawari8.s3.amazonaws.com/index.html)'] +JMA Himawari-8/9 New data notifications for Himawari-9, only Lambda and SQS protocols allowed arn:aws:sns:us-east-1:123901341784:NewHimawariNineObject us-east-1 SNS Topic https://www.data.jma.go.jp/mscweb/en/himawari89/cloud_service/cloud_service.html For any questions regarding data delivery or any general questions regarding the [NOAA](http://www.noaa.gov/) 10 minutes for Full Disk, 2.5 minutes for Regions 1, 2, and 3, and .5 minutes fo Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, geospatial, weather, earth observation, meteorological, disaster response, satellite imagery James Webb Space Telescope (JWST) Notifications for new data arn:aws:sns:us-east-1:879230861493:stpubdata/jwst us-east-1 SNS Topic https://archive.stsci.edu/missions-and-data/jwst archive@stsci.edu [Space Telescope Science Institute](http://www.stsci.edu/) Hourly Public domain. Attribution required for refereed scientific papers. astronomy, aws-pds James Webb Space Telescope (JWST) JWST Public Data files arn:aws:s3:::stpubdata/jwst us-east-1 S3 Bucket https://archive.stsci.edu/missions-and-data/jwst archive@stsci.edu [Space Telescope Science Institute](http://www.stsci.edu/) Hourly Public domain. Attribution required for refereed scientific papers. astronomy, aws-pds False Japanese Tokenizer Dictionaries Dictionary Files arn:aws:s3:::cotonoha-dic ap-northeast-1 S3 Bucket This dataset includes dictionaries for tokenization and morphologicalanalysis of polm@cotonoha.io Cotonoha Infrequently (typically less than once a year) Versions of Unidic offered here are available under the GPL/LGPL/BSD license.IPA aws-pds, natural language processing, csv, japanese @@ -469,16 +470,16 @@ Kepler Mission Data Kepler Mission data files arn:aws:s3:::stpubdata/kepler us-e Korea Meteorological Administration (KMA) GK-2A Satellite Data New data notifications for GK2A, only Lambda and SQS protocols allowed arn:aws:sns:us-east-1:709902155096:NewGK2AObject us-east-1 SNS Topic https://nmsc.kma.go.kr/enhome/html/base/cmm/selectPage.do?page=satellite.gk2a.fa For any questions regarding data delivery or any general questions regarding the [NOAA](http://www.noaa.gov/) 10 minutes for Full Disk, 2 minutes for 4 visible channels and 12 infrared chan Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, geospatial, weather, earth observation, meteorological, disaster response, satellite imagery Korea Meteorological Administration (KMA) GK-2A Satellite Data GK2A Imagery arn:aws:s3:::noaa-gk2a-pds us-east-1 S3 Bucket https://nmsc.kma.go.kr/enhome/html/base/cmm/selectPage.do?page=satellite.gk2a.fa For any questions regarding data delivery or any general questions regarding the [NOAA](http://www.noaa.gov/) 10 minutes for Full Disk, 2 minutes for 4 visible channels and 12 infrared chan Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, geospatial, weather, earth observation, meteorological, disaster response, satellite imagery ['[Browse Bucket](https://noaa-gk2a-pds.s3.amazonaws.com/index.html)'] Kraken2 NCBI RefSeq Complete V205 database on AWS Kraken2 NCBI RefSeq Complete V205 database arn:aws:s3:::kraken2-ncbi-refseq-complete-v205 us-west-2 S3 Bucket https://github.com/R-Wright-1/kraken_metaphlan_comparison/wiki robyn.wright@dal.ca Robyn Wright This database is currently what was published in our 2023 paper comparing the pe There are no restrictions on the use of this data. aws-pds, metagenomics, microbiome, benchmark, bioinformatics ['[Browse Bucket](https://kraken2-ncbi-refseq-complete-v205.s3.amazonaws.com/)'] -KyFromAbove on AWS LiDAR-derived digital elevation models (DEM) for the Commonwealth of Kentucky or arn:aws:s3:::kyfromabove/elevation/DEM/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/DEM/)'] False -KyFromAbove on AWS There are three data resources in this folder - 1) KyTopo Map Series quadrangles arn:aws:s3:::kyfromabove/elevation/KyTopoMapSeries/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/KyTopoMapSeries/)'] False +KyFromAbove on AWS KyFromAbove oblique imagery can be found in this folder The four oblique views arn:aws:s3:::kyfromabove/imagery/obliques/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#imagery/obliques/)'] False +KyFromAbove on AWS Elevation and imagery data resources for the Commonwealth of Kentucky are organi arn:aws:s3:::kyfromabove us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html)'] False KyFromAbove on AWS KyFromAbove aerial imagery, both nadir and oblique views, can be found in this b arn:aws:s3:::kyfromabove/imagery/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#imagery/)'] False KyFromAbove on AWS KyFromAbove Topographic Contours, digital elevation models, point cloud, spot el arn:aws:s3:::kyfromabove/elevation/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/)'] False -KyFromAbove on AWS Elevation and imagery data resources for the Commonwealth of Kentucky are organi arn:aws:s3:::kyfromabove us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html)'] False -KyFromAbove on AWS The data in this bucket includes spot elevations for the entire Commonwealth of arn:aws:s3:::kyfromabove/elevation/SpotElevations/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/SpotElevations/)'] False -KyFromAbove on AWS LiDAR-derived Point Cloud tiles for the Commonwealth of Kentucky organized in a arn:aws:s3:::kyfromabove/elevation/PointCloud/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/PointCloud/)'] False KyFromAbove on AWS Topographic contours created from the KyFromAbove Phase 1 LiDAR-derived digital arn:aws:s3:::kyfromabove/elevation/Contours/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/Contours/)'] False -KyFromAbove on AWS KyFromAbove oblique imagery can be found in this folder The four oblique views arn:aws:s3:::kyfromabove/imagery/obliques/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#imagery/obliques/)'] False +KyFromAbove on AWS LiDAR-derived digital elevation models (DEM) for the Commonwealth of Kentucky or arn:aws:s3:::kyfromabove/elevation/DEM/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/DEM/)'] False +KyFromAbove on AWS There are three data resources in this folder - 1) KyTopo Map Series quadrangles arn:aws:s3:::kyfromabove/elevation/KyTopoMapSeries/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/KyTopoMapSeries/)'] False KyFromAbove on AWS KyFromAbove ortho imagery for the Commonwealth of Kentucky organized in a 5000x5 arn:aws:s3:::kyfromabove/imagery/orthos/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#imagery/orthos/)'] False +KyFromAbove on AWS The data in this bucket includes spot elevations for the entire Commonwealth of arn:aws:s3:::kyfromabove/elevation/SpotElevations/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/SpotElevations/)'] False +KyFromAbove on AWS LiDAR-derived Point Cloud tiles for the Commonwealth of Kentucky organized in a arn:aws:s3:::kyfromabove/elevation/PointCloud/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/PointCloud/)'] False LOFAR ELAIS-N1 cycle 2 observations on AWS LOFAR ELAIS-N1 cycle 2 observations arn:aws:s3:::lofar-elais-n1 us-east-1 S3 Bucket https://www.lofarcloud.uk/data.html https://www.lofarcloud.uk/ Institute for Astronomy, University of Edinburgh Not updated "The data are considered ""LOFAR data in the public domain"" and their use must adh" astronomy, aws-pds, survey, imaging Learning to Rank and Filter - community question answering S3 bucket with dataset arn:aws:s3:::ltrf-cqa-dataset us-west-2 S3 Bucket https://ltrf-cqa-dataset.s3-us-west-2.amazonaws.com/readme.txt ekravi@amazon.com [Amazon](https://www.amazon.com/) Not currently being updated. [CDLA-Permissive](https://cdla.dev/permissive-1-0/) amazon.science, natural language processing, machine learning Legal Entity Identifier (LEI) and Legal Entity Reference Data (LE-RD) Legal Entity Identifier (LEI) and Legal Entity Reference Data (LE-RD) arn:aws:s3:::gleif eu-central-1 S3 Bucket https://www.gleif.org/en/lei-data/gleif-golden-copy/download-the-golden-copy#/ info@gleif.org [GLEIF](http://www.gleif.org/) Three times daily (about every 8 hours) Creative Commons (CC0) license analytics, aws-pds, blockchain, climate, commerce, copyright monitoring, csv, financial markets, governance, government spending, json, market data, statistics, transparency, xml, socioeconomic @@ -486,34 +487,34 @@ Logan Unitigs and Contigs of the Sequence Read Archive (SRA) on AWS fastazst fil Longitudinal Nutrient Deficiency Folder contains the terms of use, paper, and zip file of data arn:aws:s3:::intelinair-data-releases/longitudinal-nutrient-deficiency us-east-1 S3 Bucket https://arxiv.org/abs/2012.09654 support@intelinair.com Intelinair, Inc. Periodically Provided in the bucket. aws-pds, aerial imagery, agriculture, computer vision, deep learning, machine learning False Low Altitude Disaster Imagery (LADI) Dataset LADI dataset: images and labels arn:aws:s3:::ladi us-west-2 S3 Bucket https://github.com/LADI-Dataset/ladi-overview ladi-dataset-admin@mit.edu [MIT Lincoln Laboratory Humanitarian Assistance and Disaster Relief group](https Periodically Creative Commons Attribution 4.0 International (CC BY 4.0) aws-pds, aerial imagery, coastal, computer vision, disaster response, earth observation, earthquakes, geospatial, imaging, image processing, infrastructure, land, machine learning, mapping, natural resource, seismology, transportation, urban, water Low Context Name Entity Recognition (NER) Datasets with Gazetteer Data files arn:aws:s3:::lowcontext-ner-gaz us-east-1 S3 Bucket https://lowcontext-ner-gaz.s3.amazonaws.com/readme.html njfn@amazon.com [Amazon](https://www.amazon.com/) N/A [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) amazon.science, natural language processing -MAN TruckScenes MAN TruckScenes trainval arn:aws:s3:::man-truckscenes/release/trainval/ eu-central-1 S3 Bucket https://www.man.eu/truckscenes truckscenes@man.eu [MAN Truck and Bus SE](https://www.man.eu) The dataset may be updated with additional or corrected data on a need-to-update [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) autonomous vehicles, radar, lidar, IMU, GPS, computer vision, machine learning, deep learning, perception, object detection, object tracking, transportation, logistics, robotics MAN TruckScenes MAN TruckScenes mini arn:aws:s3:::man-truckscenes/release/mini/ eu-central-1 S3 Bucket https://www.man.eu/truckscenes truckscenes@man.eu [MAN Truck and Bus SE](https://www.man.eu) The dataset may be updated with additional or corrected data on a need-to-update [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) autonomous vehicles, radar, lidar, IMU, GPS, computer vision, machine learning, deep learning, perception, object detection, object tracking, transportation, logistics, robotics +MAN TruckScenes MAN TruckScenes trainval arn:aws:s3:::man-truckscenes/release/trainval/ eu-central-1 S3 Bucket https://www.man.eu/truckscenes truckscenes@man.eu [MAN Truck and Bus SE](https://www.man.eu) The dataset may be updated with additional or corrected data on a need-to-update [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) autonomous vehicles, radar, lidar, IMU, GPS, computer vision, machine learning, deep learning, perception, object detection, object tracking, transportation, logistics, robotics MAN TruckScenes MAN TruckScenes test arn:aws:s3:::man-truckscenes/release/test/ eu-central-1 S3 Bucket https://www.man.eu/truckscenes truckscenes@man.eu [MAN Truck and Bus SE](https://www.man.eu) The dataset may be updated with additional or corrected data on a need-to-update [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) autonomous vehicles, radar, lidar, IMU, GPS, computer vision, machine learning, deep learning, perception, object detection, object tracking, transportation, logistics, robotics MIMIC-III (‘Medical Information Mart for Intensive Care’) Project data files arn:aws:s3:::mimic-iii-physionet us-east-1 S3 Bucket https://mimic.physionet.org/ https://mimic.physionet.org/help/ [MIT Laboratory for Computational Physiology](https://lcp.mit.edu/) Not updated https://physionet.org/content/mimiciii/view-license/1.4/ aws-pds, bioinformatics, health, life sciences, natural language processing, us https://mimic.physionet.org/gettingstarted/access/#request-access-to-mimic-iii MIMIC-IV Clinical Database Demo https://doiorg/1013026/dp1f-ex47 arn:aws:s3:::physionet-open/mimic-iv-demo/ us-east-1 S3 Bucket https://doi.org/10.13026/dp1f-ex47 https://physionet.org/about/#contact_us [PhysioNet](https://physionet.org/) Not updated Open Data Commons Open Database License v1.0 aws-pds MIMIC-IV-ECG: Diagnostic Electrocardiogram Matched Subset https://doiorg/1013026/4nqg-sb35 arn:aws:s3:::physionet-open/mimic-iv-ecg/ us-east-1 S3 Bucket https://doi.org/10.13026/4nqg-sb35 https://physionet.org/about/#contact_us [PhysioNet](https://physionet.org/) Not updated Open Data Commons Open Database License v1.0 aws-pds -MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 S3 Inventory files for MOD11A1 arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MOD11A1 us-west-2 S3 Bucket Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response True -MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 S3 Inventory files for MYD13A1 arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MYD13A1 us-west-2 S3 Bucket Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response True +MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 New data notifications arn:aws:sns:us-west-2:791757209086:astraea-opendata-events us-west-2 SNS Topic Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 S3 Inventory files for MOD13A1 arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MOD13A1 us-west-2 S3 Bucket Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response True MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 S3 Inventory files for MYD11A1 arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MYD11A1 us-west-2 S3 Bucket Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response True +MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 S3 Inventory files for MOD11A1 arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MOD11A1 us-west-2 S3 Bucket Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response True MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 S3 Inventory files for MCD43A4 arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MCD43A4 us-west-2 S3 Bucket Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response True -MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 New data notifications arn:aws:sns:us-west-2:791757209086:astraea-opendata-events us-west-2 SNS Topic Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 Imagery and metadata arn:aws:s3:::astraea-opendata us-west-2 S3 Bucket Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response True +MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 S3 Inventory files for MYD13A1 arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MYD13A1 us-west-2 S3 Bucket Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response True MONKEY PAS- and IHC-stained whole slide images with corresponding dot annotaions for in arn:aws:s3:::monkey-training us-west-2 S3 Bucket https://monkey.grand-challenge.org/ linda.studer@radboudumc.nl Radboud University Medical Center As required CC BY-NC-SA 4.0 aws-pds, life sciences, cancer, computational pathology, deep learning, grand-challenge.org, histopathology, computer vision, digital pathology, medical image computing, medical imaging, classification, imaging, machine learning MWIS VR Instances Conflict graphs for maximum weight independent set arn:aws:s3:::mwis-vr-instances us-east-1 S3 Bucket https://mwis-vr-instances.s3.amazonaws.com/vrInstances.pdf resendem@amazon.com [Amazon](https://www.amazon.com/) Infrequent MIT-0 amazon.science, traffic, transportation, graph Mars Spectrometry 2: Gas Chromatography for the Sample Analysis at Mars Data (SAM) Instrument GCMS SAM Instrument Exploration Dataset arn:aws:s3:::gcms-samdata-mlchallenge us-west-2 S3 Bucket https://pds-geosciences.wustl.edu/missions/msl/sam.htm victoria.dapoian@nasa.gov, eric.i.lyness@nasa.gov NASA """Static dataset for the commercial data. When more data is collected on the SAM " There are no restrictions on the use, access, and/or download of data from the N aws-pds, analytics, archives, deep learning, planetary, machine learning, NASA SMD AI False Mars Spectrometry: Detect Evidence for Past Habitability EGAMS SAM Instrument Exploration Dataset arn:aws:s3:::egams-samdata-mlchallenge us-west-2 S3 Bucket https://pds-geosciences.wustl.edu/missions/msl/sam.htm victoria.dapoian@nasa.gov , eric.i.lyness@nasa.gov NASA Static dataset for the commercial dataWhen more data is collected on the SAM ins There are no restrictions on the use, access, and/or download of data from the N aws-pds, analytics, archives, deep learning, planetary, machine learning, NASA SMD AI False +Materials Project Data Raw Data arn:aws:s3:::materialsproject-raw us-east-1 S3 Bucket https://docs.materialsproject.org materialsproject@lbl.gov [Materials Project](https://materialsproject.org) New versions and objects added as we continuously calculate, parse and build new [Materials Project Terms of Use](https://materialsproject.org/about/terms) aws-pds, chemistry, cloud computing, data assimilation, digital assets, digital preservation, energy, environmental, free software, genome, HPC, information retrieval, infrastructure, json, machine learning, materials science, molecular dynamics, molecule, open source software, physics, post-processing, x-ray crystallography Materials Project Data Parsed Data arn:aws:s3:::materialsproject-parsed us-east-1 S3 Bucket https://docs.materialsproject.org materialsproject@lbl.gov [Materials Project](https://materialsproject.org) New versions and objects added as we continuously calculate, parse and build new [Materials Project Terms of Use](https://materialsproject.org/about/terms) aws-pds, chemistry, cloud computing, data assimilation, digital assets, digital preservation, energy, environmental, free software, genome, HPC, information retrieval, infrastructure, json, machine learning, materials science, molecular dynamics, molecule, open source software, physics, post-processing, x-ray crystallography ['[Browse Bucket](https://materialsproject-parsed.s3.amazonaws.com/index.html)'] Materials Project Data Build Data arn:aws:s3:::materialsproject-build us-east-1 S3 Bucket https://docs.materialsproject.org materialsproject@lbl.gov [Materials Project](https://materialsproject.org) New versions and objects added as we continuously calculate, parse and build new [Materials Project Terms of Use](https://materialsproject.org/about/terms) aws-pds, chemistry, cloud computing, data assimilation, digital assets, digital preservation, energy, environmental, free software, genome, HPC, information retrieval, infrastructure, json, machine learning, materials science, molecular dynamics, molecule, open source software, physics, post-processing, x-ray crystallography ['[Browse Bucket](https://materialsproject-build.s3.amazonaws.com/index.html)'] -Materials Project Data Raw Data arn:aws:s3:::materialsproject-raw us-east-1 S3 Bucket https://docs.materialsproject.org materialsproject@lbl.gov [Materials Project](https://materialsproject.org) New versions and objects added as we continuously calculate, parse and build new [Materials Project Terms of Use](https://materialsproject.org/about/terms) aws-pds, chemistry, cloud computing, data assimilation, digital assets, digital preservation, energy, environmental, free software, genome, HPC, information retrieval, infrastructure, json, machine learning, materials science, molecular dynamics, molecule, open source software, physics, post-processing, x-ray crystallography Maxar Open Data Program Imagery and metadata arn:aws:s3:::maxar-opendata us-west-2 S3 Bucket https://www.maxar.com/open-data https://www.maxar.com/open-data [Maxar](https://www.maxar.com/) New data is released in response to activations. Older data may be migrated to t Creative Commons Attribution Non Commercial 4.0 aws-pds, earth observation, disaster response, geospatial, satellite imagery, cog, stac ['[STAC Browser](https://radiantearth.github.io/stac-browser/#/external/maxar-opendata.s3.dualstack.us-west-2.amazonaws.com/events/catalog.json)', '[STAC Catalog](https://stacindex.org/catalogs/maxar-open-data-catalog-ard-format#/)'] Medical Segmentation Decathlon Ten tasks from the Medical Segmentation Decathlon Challenge Tasks are organized arn:aws:s3:::msd-for-monai us-west-2 S3 Bucket http://medicaldecathlon.com [Medical Decathlon Organisers](medicaldecathlon@gmail.com) [MONAI Development Team](https://github.com/Project-MONAI/MONAI) This is a static dataset; however, tutorials and resources will be updated as th [CC-BY-SA 4.0 International](https://creativecommons.org/licenses/by/4.0/) aws-pds, health, life sciences, medicine, imaging, magnetic resonance imaging, nifti, computed tomography, segmentation Medical Segmentation Decathlon This is a mirror of s3://msd-for-monai in eu-west-2 arn:aws:s3:::msd-for-monai-eu eu-west-2 S3 Bucket http://medicaldecathlon.com [Medical Decathlon Organisers](medicaldecathlon@gmail.com) [MONAI Development Team](https://github.com/Project-MONAI/MONAI) This is a static dataset; however, tutorials and resources will be updated as th [CC-BY-SA 4.0 International](https://creativecommons.org/licenses/by/4.0/) aws-pds, health, life sciences, medicine, imaging, magnetic resonance imaging, nifti, computed tomography, segmentation MegaScenes The MegaScenes Dataset is an extensive collection of around 430k scenes, featuri arn:aws:s3:::megascenes us-east-1 S3 Bucket https://megascenes.github.io jt664@cornell.edu; gene@cs.cornell.edu Cornell University (https://www.cs.cornell.edu/~snavely/) The dataset will be updated periodically. Creative Commons Attribution 4.0 International License. The photos have their ow internet, benchmark, computer vision, deep learning -Met Office Global Deterministic 10km on a 2-year rolling archive Met Office Global Deterministic 10km on a 2-year rolling archive arn:aws:s3:::met-office-atmospheric-model-data eu-west-2 S3 Bucket https://www.metoffice.gov.uk/services/data/external-data-channels servicedesk@metoffice.gov.uk. Service desk is only available Mon – Fri, 09:00 un [Met Office](https://www.metoffice.gov.uk/) The Global Deterministic available time steps are provided every hour from 0 to British Crown copyright 2022-2024, the Met Office, is licensed under [CC BY-SA]( aws-pds, air temperature, atmosphere, forecast, geoscience, geospatial, model, near-surface air temperature, near-surface relative humidity, netcdf, weather ['[Browse bucket](https://met-office-atmospheric-model-data.s3.eu-west-2.amazonaws.com/index.html)'] Met Office Global Deterministic 10km on a 2-year rolling archive Notifications for new atmospheric model data arn:aws:sns:eu-west-2:633885181284:met-office-atmospheric-model-data-object_created eu-west-2 SNS Topic https://www.metoffice.gov.uk/services/data/external-data-channels servicedesk@metoffice.gov.uk. Service desk is only available Mon – Fri, 09:00 un [Met Office](https://www.metoffice.gov.uk/) The Global Deterministic available time steps are provided every hour from 0 to British Crown copyright 2022-2024, the Met Office, is licensed under [CC BY-SA]( aws-pds, air temperature, atmosphere, forecast, geoscience, geospatial, model, near-surface air temperature, near-surface relative humidity, netcdf, weather -Met Office UK Deterministic (UKV)2km on a 2-year rolling archive Met Office UK Deterministic (UKV)2km on a 2-year rolling archive arn:aws:s3:::met-office-atmospheric-model-data eu-west-2 S3 Bucket https://www.metoffice.gov.uk/services/data/external-data-channels servicedesk@metoffice.gov.uk. Service desk is only available Mon – Fri, 09:00 un [Met Office](https://www.metoffice.gov.uk/) The UKV provides hourly forecasts covering the period T+0 to T+48 hours, produce British Crown copyright 2022-2024, the Met Office, is licensed under [CC BY-SA]( aws-pds, air temperature, atmosphere, forecast, geoscience, geospatial, model, near-surface air temperature, near-surface relative humidity, netcdf, weather ['[Browse bucket](https://met-office-atmospheric-model-data.s3.eu-west-2.amazonaws.com/index.html)'] +Met Office Global Deterministic 10km on a 2-year rolling archive Met Office Global Deterministic 10km on a 2-year rolling archive arn:aws:s3:::met-office-atmospheric-model-data eu-west-2 S3 Bucket https://www.metoffice.gov.uk/services/data/external-data-channels servicedesk@metoffice.gov.uk. Service desk is only available Mon – Fri, 09:00 un [Met Office](https://www.metoffice.gov.uk/) The Global Deterministic available time steps are provided every hour from 0 to British Crown copyright 2022-2024, the Met Office, is licensed under [CC BY-SA]( aws-pds, air temperature, atmosphere, forecast, geoscience, geospatial, model, near-surface air temperature, near-surface relative humidity, netcdf, weather ['[Browse bucket](https://met-office-atmospheric-model-data.s3.eu-west-2.amazonaws.com/index.html)'] Met Office UK Deterministic (UKV)2km on a 2-year rolling archive Notifications for new atmospheric model data arn:aws:sns:eu-west-2:633885181284:met-office-atmospheric-model-data-object_created eu-west-2 SNS Topic https://www.metoffice.gov.uk/services/data/external-data-channels servicedesk@metoffice.gov.uk. Service desk is only available Mon – Fri, 09:00 un [Met Office](https://www.metoffice.gov.uk/) The UKV provides hourly forecasts covering the period T+0 to T+48 hours, produce British Crown copyright 2022-2024, the Met Office, is licensed under [CC BY-SA]( aws-pds, air temperature, atmosphere, forecast, geoscience, geospatial, model, near-surface air temperature, near-surface relative humidity, netcdf, weather +Met Office UK Deterministic (UKV)2km on a 2-year rolling archive Met Office UK Deterministic (UKV)2km on a 2-year rolling archive arn:aws:s3:::met-office-atmospheric-model-data eu-west-2 S3 Bucket https://www.metoffice.gov.uk/services/data/external-data-channels servicedesk@metoffice.gov.uk. Service desk is only available Mon – Fri, 09:00 un [Met Office](https://www.metoffice.gov.uk/) The UKV provides hourly forecasts covering the period T+0 to T+48 hours, produce British Crown copyright 2022-2024, the Met Office, is licensed under [CC BY-SA]( aws-pds, air temperature, atmosphere, forecast, geoscience, geospatial, model, near-surface air temperature, near-surface relative humidity, netcdf, weather ['[Browse bucket](https://met-office-atmospheric-model-data.s3.eu-west-2.amazonaws.com/index.html)'] Met Office UK Earth System Model (UKESM1) ARISE-SAI geoengineering experiment data CMIP6 standards-compliant netCDF data arn:aws:s3:::met-office-ukesm1-arise eu-west-2 S3 Bucket (https://github.com/MetOffice/arise-cmor-tables) https://github.com/MetOffice/arise-cmor-tables/issues [Met Office](https://www.metoffice.gov.uk) Rare once complete CMIP6 data included is licensed under CC-BY 4.0 (see [here](https://wcrp-cmip.gi climate, model, climate model, atmosphere, oceans, land, ice, geospatial, aws-pds, sustainability, CMIP6 ['[Browse Bucket](https://met-office-ukesm1-arise.s3.amazonaws.com/index.html)'] Molecular Profiling to Predict Response to Treatment (phs001965) miRNA Sequencing, Total RNA Sequencing, Whole Genome Sequencing, Targeted Sequen arn:aws:s3:::gdc-mp2prt-wt-phs001965-2-open us-east-1 S3 Bucket https://datacatalog.ccdi.cancer.gov/dataset/GDC-MP2PRT support@nci-gdc.datacommons.io [Center for Translational Data Science at The University of Chicago](https://ctd Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers month [NIH Genomic Data Sharing Policy](https://gdc.cancer.gov/access-data/data-access aws-pds, life sciences, cancer, genomic, whole genome sequencing, STRIDES Moorings - Hourly time-series product Cloud Optimised AODN dataset of IMOS - Moorings - Hourly time-series product arn:aws:s3:::aodn-cloud-optimised/mooring_hourly_timeseries_delayed_qc.parquet ap-southeast-2 S3 Bucket https://catalogue-imos.aodn.org.au/geonetwork/srv/eng/catalog.search#/metadata/e info@aodn.org.au AODN As Needed http://creativecommons.org/licenses/by/4.0/ oceans, chemistry, ocean velocity @@ -529,8 +530,8 @@ Multiview Extended Video with Activities (MEVA) AVI video clips and collection s My School Today Using open-source georeferenced data and satellite data products, we construct t arn:aws:s3:::my-school-today us-west-2 S3 Bucket https://sdgstoday.org/dataset/my-school-today sdgstoday@unsdsn.org SDSN SDGs Today Monthly (weekly updates in progress) This work is licensed under a Creative Commons by Attribution (CC BY 4.0) licens aws-pds, education, geospatial, infrastructure, schools NA-CORDEX - North American component of the Coordinated Regional Downscaling Experiment Project data files arn:aws:s3:::ncar-na-cordex us-west-2 S3 Bucket https://doi.org/10.26024/9xkm-fp81 rdahelp@ucar.edu [National Center for Atmospheric Research](https://ncar.ucar.edu/) Rare. NA-CORDEX is complete, but we may occasionally copy additional fields from https://na-cordex.org/terms-use.html climate, model, climate model, atmosphere, land, geospatial, aws-pds, sustainability, zarr NAIP on AWS The data in this bucket is 4-band (RGB + NIR) in MRF format and Cloud Optimized arn:aws:s3:::naip-analytic us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/naip imagerycontent@esri.com [Esri](https://www.esri.com/en-us/home) NAIP data is provided state by state at varying time intervals. Each year, a var Public Domain with Attribution aws-pds, agriculture, earth observation, aerial imagery, geospatial, natural resource, regulatory, cog True -NAIP on AWS The data in this bucket is 3 band RGB in Geotiff format It is converted and man arn:aws:s3:::naip-visualization us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/naip imagerycontent@esri.com [Esri](https://www.esri.com/en-us/home) NAIP data is provided state by state at varying time intervals. Each year, a var Public Domain with Attribution aws-pds, agriculture, earth observation, aerial imagery, geospatial, natural resource, regulatory, cog True NAIP on AWS The data in this bucket is Original Imagery in Geotiff format 4-band (RGB + NIR) arn:aws:s3:::naip-source us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/naip imagerycontent@esri.com [Esri](https://www.esri.com/en-us/home) NAIP data is provided state by state at varying time intervals. Each year, a var Public Domain with Attribution aws-pds, agriculture, earth observation, aerial imagery, geospatial, natural resource, regulatory, cog True +NAIP on AWS The data in this bucket is 3 band RGB in Geotiff format It is converted and man arn:aws:s3:::naip-visualization us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/naip imagerycontent@esri.com [Esri](https://www.esri.com/en-us/home) NAIP data is provided state by state at varying time intervals. Each year, a var Public Domain with Attribution aws-pds, agriculture, earth observation, aerial imagery, geospatial, natural resource, regulatory, cog True NASA / USGS Controlled Europa DTMs Scenes and metadata arn:aws:s3:::astrogeo-ard/jupiter/europa/galileo_voyager/usgs_controlled_dtms/ us-west-2 S3 Bucket https://stac.astrogeology.usgs.gov/docs/data/jupiter/europa/europa_controlled_us https://answers.usgs.gov/ [NASA](https://www.nasa.gov) HiRISE data will be updated as new releases are made to the Planetary Data Syste [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, planetary, satellite imagery, stac, cog ['[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/galileo_usgs_photogrammetrically_controlled_dtms?.language=en)'] NASA / USGS Controlled THEMIS Mosaics Scenes and metadata arn:aws:s3:::astrogeo-ard/mars/mo/themis/controlled_mosaics/ us-west-2 S3 Bucket https://stac.astrogeology.usgs.gov/docs/data/mars/themis_controlled_mosaics/ https://answers.usgs.gov/ [NASA](https://www.nasa.gov) None planned. [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, planetary, satellite imagery, stac, cog ['[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/mo_themis_controlled_mosaics)'] NASA / USGS Europa Controlled Observation Mosaics Scenes and metadata arn:aws:s3:::astrogeo-ard/jupiter/europa/galileo_voyager/usgs_controlled_mosaics/ us-west-2 S3 Bucket https://stac.astrogeology.usgs.gov/docs/data/jupiter/europa/galileo_sequence_mos https://answers.usgs.gov/ [NASA](https://www.nasa.gov) No future updates planned. [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, planetary, satellite imagery, stac, cog ['[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/galileo_usgs_photogrammetrically_controlled_mosaics)'] @@ -540,72 +541,72 @@ NASA / USGS Mars Reconnaissance Orbiter (MRO) Context Camera (CTX) Targeted DTMs NASA / USGS Released HiRISE Digital Terrain Models Scenes and metadata arn:aws:s3:::astrogeo-ard/mars/mro/hirise/controlled/dtm us-west-2 S3 Bucket https://stac.astrogeology.usgs.gov/docs/data/mars/hirise_dtms/ https://answers.usgs.gov/ [NASA](https://www.nasa.gov) HiRISE DTMs will be updated as new releases are made by the University of Arizon [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, planetary, satellite imagery, stac, cog ['[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/api/collections/mro_hirise_socet_dtms)'] NASA / USGS Uncontrolled HiRISE RDRs Scenes and metadata arn:aws:s3:::astrogeo-ard/mars/mro/hirise/uncontrolled_rdr_observations/ us-west-2 S3 Bucket https://stac.astrogeology.usgs.gov/docs/data/mars/uncontrolled_hirise/ https://answers.usgs.gov/ [NASA](https://www.nasa.gov) HiRISE data will be updated as new releases are made to the Planetary Data Syste [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) aws-pds, planetary, satellite imagery, stac, cog ['[STAC Catalog](https://stac.astrogeology.usgs.gov/browser-dev/#/collections/mro_hirise_uncontrolled_observations)'] NASA Earth Exchange (NEX) Data Collection Localized Constructed Analogs (LOCA) arn:aws:s3:::nasanex/LOCA us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/nasa-nex https://www.nasa.gov/nex/team NASA Infrequently US Government work aws-pds, CMIP5, natural resource, climate, sustainability -NASA Earth Exchange (NEX) Data Collection Global Daily Downscaled Projections (NEX-GDDP) arn:aws:s3:::nasanex/NEX-GDDP us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/nasa-nex https://www.nasa.gov/nex/team NASA Infrequently US Government work aws-pds, CMIP5, natural resource, climate, sustainability NASA Earth Exchange (NEX) Data Collection Downscaled Climate Projections (NEX-DCP30) arn:aws:s3:::nasanex/NEX-DCP30 us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/nasa-nex https://www.nasa.gov/nex/team NASA Infrequently US Government work aws-pds, CMIP5, natural resource, climate, sustainability +NASA Earth Exchange (NEX) Data Collection Global Daily Downscaled Projections (NEX-GDDP) arn:aws:s3:::nasanex/NEX-GDDP us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/nasa-nex https://www.nasa.gov/nex/team NASA Infrequently US Government work aws-pds, CMIP5, natural resource, climate, sustainability NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) The NEX-GDDP-CMIP6-COG archive Files are in Cloud-Optimized GeoTiff (COG arn:aws:s3:::nex-gddp-cmip6-cog us-west-2 S3 Bucket https://doi.org/10.7917/OFSG3345 support@nccs.nasa.gov [NASA](https://www.nasa.gov) No future updates planned. As noted in the metadata of each file, the NEX-GDDP-CMIP6 archive wasinitially m aws-pds, CMIP6, climate, climate model, model, global, environmental, earth observation, climate projections, netcdf, near-surface relative humidity, near-surface specific humidity, precipitation, air temperature, NASA Center for Climate Simulation (NCCS), cog ['[Browse Bucket](https://nex-gddp-cmip6-cog.s3.us-west-2.amazonaws.com/index.html)'] False NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) The NEX-GDDP-CMIP6 archive Files are in NetCDF format with the CF-17 metadata arn:aws:s3:::nex-gddp-cmip6 us-west-2 S3 Bucket https://doi.org/10.7917/OFSG3345 support@nccs.nasa.gov [NASA](https://www.nasa.gov) No future updates planned. As noted in the metadata of each file, the NEX-GDDP-CMIP6 archive wasinitially m aws-pds, CMIP6, climate, climate model, model, global, environmental, earth observation, climate projections, netcdf, near-surface relative humidity, near-surface specific humidity, precipitation, air temperature, NASA Center for Climate Simulation (NCCS), cog ['[Browse Bucket](https://nex-gddp-cmip6.s3.us-west-2.amazonaws.com/index.html)'] False -NASA High Energy Astrophysics Mission Data The XQC Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/xqc/data/spectra/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data Fermi LAT weekly Data Products as well as GBM bursts and triggers (The full mi arn:aws:s3:::heasarc-public/fermi/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The VELA 5B Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/vela5b/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The HETE-2 Mission Data Archive Total size 287 GB arn:aws:s3:::nasa-heasarc/hete2/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The NICER Mission Data Archive For more information, see the NICER Science Ce arn:aws:s3:::heasarc-public/nicer/data/obs/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The Hitomi Mission Data Archive Total size 115 GB arn:aws:s3:::nasa-heasarc/hitomi/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The COPERNICUS Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/copernicus/data/uclrawfits us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The HEAO-1 Mission Data Archive Total size 84 GB arn:aws:s3:::nasa-heasarc/heao1/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The HaloSat Mission Data Archive More information available at the mission su arn:aws:s3:::nasa-heasarc/halosat/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The Ginga Mission Data Archive Total size 19 GB arn:aws:s3:::nasa-heasarc/ginga/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The The EXOSAT Observatory Data Archive Total size 80 GB arn:aws:s3:::nasa-heasarc/exosat/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data Fermi LAT weekly Data Products as well as GBM bursts and triggers (The full mi arn:aws:s3:::heasarc-public/fermi/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data Swift Mission Data Archive For more information, see the website of the Swift arn:aws:s3:::nasa-heasarc/swift/data/obs/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The The Einstein Observatory (aka HEAO-2) Data Archive Total size 15 GB arn:aws:s3:::nasa-heasarc/einstein/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The DXS Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/dxs/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The COS-B Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/cosb/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data XMM-Newton Mission Data Archive For more information, see the website of the arn:aws:s3:::nasa-heasarc/xmm/data/rev0/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The Ariel5 Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/ariel5/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The ASCA Mission Data Archive More information available at the mission suppor arn:aws:s3:::nasa-heasarc/asca/data/rev2 us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The BBXRT Mission Data Archive Total size of 1 GB arn:aws:s3:::nasa-heasarc/bbxrt us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data Chandra Mission Data Archive supported by the Chandra X-ray Observatory arn:aws:s3:::nasa-heasarc/chandra/data/byobsid us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The NuSTAR Mission Data Archive For more information, see the NuSTAR pages at arn:aws:s3:::heasarc-public/nustar/data/obs/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The OSO-8 Mission Data Archive Total size 5 GB arn:aws:s3:::nasa-heasarc/oso8/data/gcxse/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The COPERNICUS Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/copernicus/data/uclrawfits us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The Compton Mission More information available at the mission support website arn:aws:s3:::nasa-heasarc/compton/data us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data Chandra Mission Data Archive supported by the Chandra X-ray Observatory arn:aws:s3:::nasa-heasarc/chandra/data/byobsid us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The BBXRT Mission Data Archive Total size of 1 GB arn:aws:s3:::nasa-heasarc/bbxrt us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The ASCA Mission Data Archive More information available at the mission suppor arn:aws:s3:::nasa-heasarc/asca/data/rev2 us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The Ariel5 Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/ariel5/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The DXS Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/dxs/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The OSO-8 Mission Data Archive Total size 5 GB arn:aws:s3:::nasa-heasarc/oso8/data/gcxse/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The The EXOSAT Observatory Data Archive Total size 80 GB arn:aws:s3:::nasa-heasarc/exosat/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The ROSAT Mission Data Archive For more information, see the website of the R arn:aws:s3:::nasa-heasarc/rosat/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The WASS Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/wass/data/maps/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data XMM-Newton Mission Data Archive For more information, see the website of the arn:aws:s3:::nasa-heasarc/xmm/data/rev0/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The XQC Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/xqc/data/spectra/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The HEAO-1 Mission Data Archive Total size 84 GB arn:aws:s3:::nasa-heasarc/heao1/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray +NASA High Energy Astrophysics Mission Data The Hitomi Mission Data Archive Total size 115 GB arn:aws:s3:::nasa-heasarc/hitomi/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The RXTE Mission Data Archive For more information, see the website of the RXT arn:aws:s3:::nasa-heasarc/xte/data/archive/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The SAS-2 Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/sas2/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The BeppoSAX Mission Data Archive More information available at the mission s arn:aws:s3:::nasa-heasarc/sax/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray NASA High Energy Astrophysics Mission Data The Suzaku Mission Data Archive For more information, see the website of the arn:aws:s3:::nasa-heasarc/suzaku/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data Swift Mission Data Archive For more information, see the website of the Swift arn:aws:s3:::nasa-heasarc/swift/data/obs/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The VELA 5B Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/vela5b/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The WASS Mission Data Archive Total size < 1 GB arn:aws:s3:::nasa-heasarc/wass/data/maps/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA High Energy Astrophysics Mission Data The ROSAT Mission Data Archive For more information, see the website of the R arn:aws:s3:::nasa-heasarc/rosat/data/ us-east-1 S3 Bucket The [HEASARC Website](https://heasarc.gsfc.nasa.gov/) The [HEASARC Feedback](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback) The [HEASARC](https://heasarc.gsfc.nasa.gov/) Various. See [the HEASARC data policy web site](https://heasarc.gsfc.nasa.gov/docs/heasar aws-pds, astronomy, archives, datacenter, imaging, satellite imagery, x-ray -NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA) The COBE/Far-InfraRed Absolute Spectrophotometer (FIRAS) Total size of 94 GB arn:aws:s3:::nasa-lambda/cobe/firas us-west-2 S3 Bucket [The LAMBDA Website](https://lambda.gsfc.nasa.gov/) [LAMBDA Feedback](https://lambda.gsfc.nasa.gov/contact/contact.html) [LAMBDA](https://lambda.gsfc.nasa.gov/) Various. There are no restrictions on the use of this data. aws-pds, astronomy, archives, datacenter, imaging, satellite imagery -NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA) The COBE/Diffuse Infrared Background Experiment (DIRBE) Total size of 95 GB arn:aws:s3:::nasa-lambda/cobe/dirbe us-west-2 S3 Bucket [The LAMBDA Website](https://lambda.gsfc.nasa.gov/) [LAMBDA Feedback](https://lambda.gsfc.nasa.gov/contact/contact.html) [LAMBDA](https://lambda.gsfc.nasa.gov/) Various. There are no restrictions on the use of this data. aws-pds, astronomy, archives, datacenter, imaging, satellite imagery NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA) The COBE/Differential Microwave Radiometer (DMR) Total size of 25 GB arn:aws:s3:::nasa-lambda/cobe/dmr us-west-2 S3 Bucket [The LAMBDA Website](https://lambda.gsfc.nasa.gov/) [LAMBDA Feedback](https://lambda.gsfc.nasa.gov/contact/contact.html) [LAMBDA](https://lambda.gsfc.nasa.gov/) Various. There are no restrictions on the use of this data. aws-pds, astronomy, archives, datacenter, imaging, satellite imagery NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA) the Wilkinson Microwave Anisotropy Probe (WMAP)otal size of 2 TB arn:aws:s3:::nasa-lambda/cobe/map/dr5 us-west-2 S3 Bucket [The LAMBDA Website](https://lambda.gsfc.nasa.gov/) [LAMBDA Feedback](https://lambda.gsfc.nasa.gov/contact/contact.html) [LAMBDA](https://lambda.gsfc.nasa.gov/) Various. There are no restrictions on the use of this data. aws-pds, astronomy, archives, datacenter, imaging, satellite imagery +NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA) The COBE/Far-InfraRed Absolute Spectrophotometer (FIRAS) Total size of 94 GB arn:aws:s3:::nasa-lambda/cobe/firas us-west-2 S3 Bucket [The LAMBDA Website](https://lambda.gsfc.nasa.gov/) [LAMBDA Feedback](https://lambda.gsfc.nasa.gov/contact/contact.html) [LAMBDA](https://lambda.gsfc.nasa.gov/) Various. There are no restrictions on the use of this data. aws-pds, astronomy, archives, datacenter, imaging, satellite imagery +NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA) The COBE/Diffuse Infrared Background Experiment (DIRBE) Total size of 95 GB arn:aws:s3:::nasa-lambda/cobe/dirbe us-west-2 S3 Bucket [The LAMBDA Website](https://lambda.gsfc.nasa.gov/) [LAMBDA Feedback](https://lambda.gsfc.nasa.gov/contact/contact.html) [LAMBDA](https://lambda.gsfc.nasa.gov/) Various. There are no restrictions on the use of this data. aws-pds, astronomy, archives, datacenter, imaging, satellite imagery NASA Physical Sciences Informatics (PSI) Directional Solidification Insert (DSI) and Observation and Analysis of Smectic arn:aws:s3:::nasa-psi us-west-2 S3 Bucket https://www.nasa.gov/PSI https://www.nasa.gov/content/psi-contacts-tutorials-and-related-links NASA New research data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, chemistry, space biology, fluid dynamics, physics, materials science ['[Browse Bucket](https://nasa-psi.s3.us-west-2.amazonaws.com/index.html)'] -NASA Prediction of Worldwide Energy Resources (POWER) POWER's Zarr Analysis Ready Data (ARD) Datasets arn:aws:s3:::power-analysis-ready-datastore us-west-2 S3 Bucket https://power.larc.nasa.gov/docs/ larc-power-project@mail.nasa.gov NASA Near Real Time (NRT); as soon as source data becomes available from our source d There are no restrictions on the use, access, and/or download of data from the N agriculture, air quality, analytics, archives, atmosphere, climate, climate model, data assimilation, deep learning, earth observation, energy, environmental, forecast, geoscience, geospatial, global, netcdf, history, imaging, industry, machine learning, machine translation, metadata, meteorological, model, opendap, radiation, satellite imagery, solar, statistics, sustainability, time series forecasting, water, weather, zarr, aws-pds ['[Browse Bucket](https://power-analysis-ready-datastore.s3.us-west-2.amazonaws.com/index.html)'] False NASA Prediction of Worldwide Energy Resources (POWER) POWER's NetCDF Datastore arn:aws:s3:::power-datastore us-west-2 S3 Bucket https://power.larc.nasa.gov/docs/ larc-power-project@mail.nasa.gov NASA Near Real Time (NRT); as soon as source data becomes available from our source d There are no restrictions on the use, access, and/or download of data from the N agriculture, air quality, analytics, archives, atmosphere, climate, climate model, data assimilation, deep learning, earth observation, energy, environmental, forecast, geoscience, geospatial, global, netcdf, history, imaging, industry, machine learning, machine translation, metadata, meteorological, model, opendap, radiation, satellite imagery, solar, statistics, sustainability, time series forecasting, water, weather, zarr, aws-pds ['[Browse Bucket](https://power-datastore.s3.us-west-2.amazonaws.com/index.html)'] False +NASA Prediction of Worldwide Energy Resources (POWER) POWER's Zarr Analysis Ready Data (ARD) Datasets arn:aws:s3:::power-analysis-ready-datastore us-west-2 S3 Bucket https://power.larc.nasa.gov/docs/ larc-power-project@mail.nasa.gov NASA Near Real Time (NRT); as soon as source data becomes available from our source d There are no restrictions on the use, access, and/or download of data from the N agriculture, air quality, analytics, archives, atmosphere, climate, climate model, data assimilation, deep learning, earth observation, energy, environmental, forecast, geoscience, geospatial, global, netcdf, history, imaging, industry, machine learning, machine translation, metadata, meteorological, model, opendap, radiation, satellite imagery, solar, statistics, sustainability, time series forecasting, water, weather, zarr, aws-pds ['[Browse Bucket](https://power-analysis-ready-datastore.s3.us-west-2.amazonaws.com/index.html)'] False NASA SOHO/LASCO2 comet challenge on AWS AI/ML ready data set created using NASA/SOHO/LASCO2 archive data arn:aws:s3:::nasa-comets-training-data us-east-1 S3 Bucket https://ssa.esac.esa.int/ssa/#/pages/home ekaterina.m.verner@nasa.gov [NASA](http://www.nasa.gov/) No updates There are no restrictions on the use of this data. aws-pds, astronomy, machine learning, NASA SMD AI NASA SOTERIA Simulation Testbed Data SOTERIA Testbed Data arn:aws:s3:::nasa-soteria-data us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/ chad.l.stephens@nasa.gov; tyler.fettrow@nasa.gov [NASA](http://www.nasa.gov/) As required [Creative Commons Attribution 4.0 International](https://creativecommons.org/lic workload analysis, neuroimaging, transportation, life sciences NASA Space Biology Open Science Data Repository (OSDR) Biological research data from spaceflight and space relevant experiments arn:aws:s3:::nasa-osdr us-west-2 S3 Bucket https://osdr.nasa.gov/bio/repo https://osdr.nasa.gov/bio/help/contact.html NASA New research data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, biology, bioinformatics, GeneLab, genomic, imaging, life sciences, space biology ['[Browse Bucket](http://nasa-osdr.s3-website-us-west-2.amazonaws.com)'] NEOWISE Post-Cryo Data | Wide-field Infrared Survey Explorer (WISE) NEOWISE Post-Cryo Single-exposure Image Sets: 901,271 calibrated 1016x1016 pix @ arn:aws:s3:::nasa-irsa-wise/wise/postcryo us-west-2 S3 Bucket https://irsa.ipac.caltech.edu/Missions/wise.html https://irsa.ipac.caltech.edu/docs/help_desk.html NASA/IPAC Infrared Science Archive ([IRSA](https://irsa.ipac.caltech.edu)) at Ca The NEOWISE Post-Cryo Data Release has been finalized and will not be updated. https://irsa.ipac.caltech.edu/data_use_terms.html aws-pds, astronomy, imaging, satellite imagery, survey False False NEOWISE Reactivation Data | Near-Earth Object Wide-field Infrared Survey Explorer (NEOWISE) The Single-exposure Image Sets consist of more than 20 million calibrated 1016x1 arn:aws:s3:::nasa-irsa-wise/wise/neowiser us-west-2 S3 Bucket https://irsa.ipac.caltech.edu/Missions/wise.html https://irsa.ipac.caltech.edu/docs/help_desk.html NASA/IPAC Infrared Science Archive ([IRSA](https://irsa.ipac.caltech.edu)) at Ca The NEOWISE-R dataset is updated annually. The data may also be presented in new https://irsa.ipac.caltech.edu/data_use_terms.html aws-pds, astronomy, imaging, object detection, parquet, satellite imagery, survey False False NEXRAD on AWS NEXRAD Level II archive data arn:aws:s3:::noaa-nexrad-level2 us-east-1 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad support-level2@unidata.ucar.edu [Unidata](https://www.unidata.ucar.edu/) New Level II data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, agriculture, earth observation, natural resource, weather, meteorological ['[Browse Bucket](https://noaa-nexrad-level2.s3.amazonaws.com/index.html)'] -NEXRAD on AWS NEXRAD Level II real-time data arn:aws:s3:::unidata-nexrad-level2-chunks us-east-1 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad support-level2@unidata.ucar.edu [Unidata](https://www.unidata.ucar.edu/) New Level II data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, agriculture, earth observation, natural resource, weather, meteorological -NEXRAD on AWS NEXRAD Level III real-time select data arn:aws:s3:::unidata-nexrad-level3 us-east-1 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad support-level2@unidata.ucar.edu [Unidata](https://www.unidata.ucar.edu/) New Level II data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, agriculture, earth observation, natural resource, weather, meteorological ['[Browse Bucket](https://unidata-nexrad-level3.s3.amazonaws.com/index.html)'] -NEXRAD on AWS Rich notifications for real-time data with filterable fields arn:aws:sns:us-east-1:684042711724:NewNEXRADLevel2ObjectFilterable us-east-1 SNS Topic https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad support-level2@unidata.ucar.edu [Unidata](https://www.unidata.ucar.edu/) New Level II data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, agriculture, earth observation, natural resource, weather, meteorological -NEXRAD on AWS Notifications for the Level II archival bucket arn:aws:sns:us-east-1:811054952067:NewNEXRADLevel2Archive us-east-1 SNS Topic https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad support-level2@unidata.ucar.edu [Unidata](https://www.unidata.ucar.edu/) New Level II data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, agriculture, earth observation, natural resource, weather, meteorological NEXRAD on AWS Notifications for the Level III bucket arn:aws:sns:us-east-1:684042711724:NewNEXRADLevel3Object us-east-1 SNS Topic https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad support-level2@unidata.ucar.edu [Unidata](https://www.unidata.ucar.edu/) New Level II data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, agriculture, earth observation, natural resource, weather, meteorological +NEXRAD on AWS Notifications for the Level II archival bucket arn:aws:sns:us-east-1:811054952067:NewNEXRADLevel2Archive us-east-1 SNS Topic https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad support-level2@unidata.ucar.edu [Unidata](https://www.unidata.ucar.edu/) New Level II data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, agriculture, earth observation, natural resource, weather, meteorological +NEXRAD on AWS Rich notifications for real-time data with filterable fields arn:aws:sns:us-east-1:684042711724:NewNEXRADLevel2ObjectFilterable us-east-1 SNS Topic https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad support-level2@unidata.ucar.edu [Unidata](https://www.unidata.ucar.edu/) New Level II data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, agriculture, earth observation, natural resource, weather, meteorological +NEXRAD on AWS NEXRAD Level III real-time select data arn:aws:s3:::unidata-nexrad-level3 us-east-1 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad support-level2@unidata.ucar.edu [Unidata](https://www.unidata.ucar.edu/) New Level II data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, agriculture, earth observation, natural resource, weather, meteorological ['[Browse Bucket](https://unidata-nexrad-level3.s3.amazonaws.com/index.html)'] +NEXRAD on AWS NEXRAD Level II real-time data arn:aws:s3:::unidata-nexrad-level2-chunks us-east-1 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad support-level2@unidata.ucar.edu [Unidata](https://www.unidata.ucar.edu/) New Level II data is added as soon as it is available. There are no restrictions on the use of this data. aws-pds, agriculture, earth observation, natural resource, weather, meteorological NIFS Large Helical Device (LHD) Experiment LHD Diagnostic data arn:aws:s3:::nifs-lhd ap-northeast-1 S3 Bucket https://www-lhd.nifs.ac.jp/pub/Repository_en.html For any questions regarding data delivery or any general questions regarding the [NIFS](https://www.nifs.ac.jp/) Archived data files are updated nightly when new or revised data are generated i "This data is available for anyone to use under the ""[Rights and Terms](https://w" analytics, anomaly detection, archives, aws-pds, computed tomography, datacenter, digital assets, electricity, energy, fluid dynamics, image processing, physics, post-processing, radiation, signal processing, source code, turbulence, video, x-ray, x-ray tomography ['[Browse Bucket](https://nifs-lhd.s3.amazonaws.com/index.html)'] NIH NCBI PubMed Central (PMC) Article Datasets - Full-Text Biomedical and Life Sciences Journal Articles on AWS xml and txt files with the full-text of articles; txt and csv file lists for arn:aws:s3:::pmc-oa-opendata us-east-1 S3 Bucket https://www.ncbi.nlm.nih.gov/pmc/tools/pmcaws pubmedcentral@ncbi.nlm.nih.gov [National Library of Medicine (NLM)](http://nlm.nih.gov/) Daily [PMC Copyright](https://www.ncbi.nlm.nih.gov/pmc/about/copyright/) aws-pds, life sciences, STRIDES, txt, xml, csv -NIH NCBI Sequence Read Archive (SRA) on AWS bam, cram, and fastq files in a public S3 bucket This is the second of two S arn:aws:s3:::sra-pub-src-2 us-east-1 S3 Bucket https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/ sra@ncbi.nlm.nih.gov [National Library of Medicine (NLM)](http://nlm.nih.gov/) Daily [NCBI Policy](https://www.ncbi.nlm.nih.gov/home/about/policies/) and [NIH Genomi aws-pds, life sciences, genetic, genomic, whole genome sequencing, whole exome sequencing, transcriptomics, fastq, bam, cram, STRIDES -NIH NCBI Sequence Read Archive (SRA) on AWS Update notifications for s3://sra-pub-run-odp Users can subscribe to this SNS t arn:aws:sns:us-east-1:867126678632:sra-pub-run-odp-objects us-east-1 SNS Topic https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/ sra@ncbi.nlm.nih.gov [National Library of Medicine (NLM)](http://nlm.nih.gov/) Daily [NCBI Policy](https://www.ncbi.nlm.nih.gov/home/about/policies/) and [NIH Genomi aws-pds, life sciences, genetic, genomic, whole genome sequencing, whole exome sequencing, transcriptomics, fastq, bam, cram, STRIDES NIH NCBI Sequence Read Archive (SRA) on AWS Metadata files for the Sequence Read Archive, ready to load into AWS Glue and qu arn:aws:s3:::sra-pub-metadata-us-east-1/sra/metadata us-east-1 S3 Bucket https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/ sra@ncbi.nlm.nih.gov [National Library of Medicine (NLM)](http://nlm.nih.gov/) Daily [NCBI Policy](https://www.ncbi.nlm.nih.gov/home/about/policies/) and [NIH Genomi aws-pds, life sciences, genetic, genomic, whole genome sequencing, whole exome sequencing, transcriptomics, fastq, bam, cram, STRIDES -NIH NCBI Sequence Read Archive (SRA) on AWS sra files in a controlled-access S3 bucket This bucket contains controlled-acc arn:aws:s3:::sra-ca-run-odp us-east-1 S3 Bucket https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/ sra@ncbi.nlm.nih.gov [National Library of Medicine (NLM)](http://nlm.nih.gov/) Daily [NCBI Policy](https://www.ncbi.nlm.nih.gov/home/about/policies/) and [NIH Genomi aws-pds, life sciences, genetic, genomic, whole genome sequencing, whole exome sequencing, transcriptomics, fastq, bam, cram, STRIDES https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=login NIH NCBI Sequence Read Archive (SRA) on AWS sra files in a public S3 bucket This bucket contains all open access SRA submi arn:aws:s3:::sra-pub-run-odp us-east-1 S3 Bucket https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/ sra@ncbi.nlm.nih.gov [National Library of Medicine (NLM)](http://nlm.nih.gov/) Daily [NCBI Policy](https://www.ncbi.nlm.nih.gov/home/about/policies/) and [NIH Genomi aws-pds, life sciences, genetic, genomic, whole genome sequencing, whole exome sequencing, transcriptomics, fastq, bam, cram, STRIDES +NIH NCBI Sequence Read Archive (SRA) on AWS bam, cram, and fastq files in a public S3 bucket This is the second of two S arn:aws:s3:::sra-pub-src-2 us-east-1 S3 Bucket https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/ sra@ncbi.nlm.nih.gov [National Library of Medicine (NLM)](http://nlm.nih.gov/) Daily [NCBI Policy](https://www.ncbi.nlm.nih.gov/home/about/policies/) and [NIH Genomi aws-pds, life sciences, genetic, genomic, whole genome sequencing, whole exome sequencing, transcriptomics, fastq, bam, cram, STRIDES NIH NCBI Sequence Read Archive (SRA) on AWS bam, cram, and fastq files in a public S3 bucket This is the first of two S3 arn:aws:s3:::sra-pub-src-1 us-east-1 S3 Bucket https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/ sra@ncbi.nlm.nih.gov [National Library of Medicine (NLM)](http://nlm.nih.gov/) Daily [NCBI Policy](https://www.ncbi.nlm.nih.gov/home/about/policies/) and [NIH Genomi aws-pds, life sciences, genetic, genomic, whole genome sequencing, whole exome sequencing, transcriptomics, fastq, bam, cram, STRIDES +NIH NCBI Sequence Read Archive (SRA) on AWS Update notifications for s3://sra-pub-run-odp Users can subscribe to this SNS t arn:aws:sns:us-east-1:867126678632:sra-pub-run-odp-objects us-east-1 SNS Topic https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/ sra@ncbi.nlm.nih.gov [National Library of Medicine (NLM)](http://nlm.nih.gov/) Daily [NCBI Policy](https://www.ncbi.nlm.nih.gov/home/about/policies/) and [NIH Genomi aws-pds, life sciences, genetic, genomic, whole genome sequencing, whole exome sequencing, transcriptomics, fastq, bam, cram, STRIDES +NIH NCBI Sequence Read Archive (SRA) on AWS sra files in a controlled-access S3 bucket This bucket contains controlled-acc arn:aws:s3:::sra-ca-run-odp us-east-1 S3 Bucket https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/ sra@ncbi.nlm.nih.gov [National Library of Medicine (NLM)](http://nlm.nih.gov/) Daily [NCBI Policy](https://www.ncbi.nlm.nih.gov/home/about/policies/) and [NIH Genomi aws-pds, life sciences, genetic, genomic, whole genome sequencing, whole exome sequencing, transcriptomics, fastq, bam, cram, STRIDES https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=login NLP - fast.ai datasets Datasets arn:aws:s3:::fast-ai-nlp us-east-1 S3 Bucket http://course.fast.ai/datasets info@fast.ai [fast.ai](http://www.fast.ai/) As required Varies by dataset - see documentation link aws-pds, deep learning, natural language processing, machine learning NOAA - hourly position, current, and sea surface temperature from drifters New data notifications for Hourly position, current, and sea surface temperature arn:aws:sns:us-east-1:709902155096:NewHourlyGDPObject us-east-1 SNS Topic https://www.aoml.noaa.gov/phod/gdp/hourly_data.php Please direct scientific inquiries to Dr. Rick Lumpkin (Rick.Lumpkin@noaa.gov) a [NOAA](http://www.noaa.gov/) New data is added as soon as it's available. Open Data. There are no restrictions on the use of this data. aws-pds, climate, meteorological, sustainability, weather, oceans, environmental NOAA - hourly position, current, and sea surface temperature from drifters Hourly position, current, and sea surface temperature data from drifters arn:aws:s3:::noaa-oar-hourly-gdp-pds us-east-1 S3 Bucket https://www.aoml.noaa.gov/phod/gdp/hourly_data.php Please direct scientific inquiries to Dr. Rick Lumpkin (Rick.Lumpkin@noaa.gov) a [NOAA](http://www.noaa.gov/) New data is added as soon as it's available. Open Data. There are no restrictions on the use of this data. aws-pds, climate, meteorological, sustainability, weather, oceans, environmental ['[Browse Bucket](https://noaa-oar-hourly-gdp-pds.s3.amazonaws.com/index.html)'] NOAA / NGA Satellite Computed Bathymetry Assessment-SCuBA NOAA / NGA Satellite Computed Bathymetry Assessment (SCuBA) data notifications arn:aws:sns:us-east-1:709902155096:NewICESATObject us-east-1 SNS Topic https://github.com/NOAA-Big-Data-Program/bdp-data-docs/blob/main/SCuBA/NOAA_webs For questions regarding data content or quality, email gretchen.imahori@noaa.gov [NOAA’s National Geodetic Survey](https://geodesy.noaa.gov/) Monthly, quarterly, and annually, depending on the dataset. Open Data. There are no restrictions on the use of this data. aws-pds, bathymetry, agriculture, weather, climate, environmental, disaster response, agriculture, transportation, oceans NOAA / NGA Satellite Computed Bathymetry Assessment-SCuBA NOAA / NGA Satellite Computed Bathymetry Assessment (SCuBA) data arn:aws:s3:::noaa-nos-scuba-icesat2-pds us-east-1 S3 Bucket https://github.com/NOAA-Big-Data-Program/bdp-data-docs/blob/main/SCuBA/NOAA_webs For questions regarding data content or quality, email gretchen.imahori@noaa.gov [NOAA’s National Geodetic Survey](https://geodesy.noaa.gov/) Monthly, quarterly, and annually, depending on the dataset. Open Data. There are no restrictions on the use of this data. aws-pds, bathymetry, agriculture, weather, climate, environmental, disaster response, agriculture, transportation, oceans ['[Browse Bucket](https://noaa-nos-scuba-icesat2-pds.s3.amazonaws.com/index.html)'] -NOAA 3-D Surge and Tide Operational Forecast System for the Atlantic Basin (STOFS-3D-Atlantic) NOAA STOFS-3D-Atlantic Forecast Guidance New Dataset Notification arn:aws:sns:us-east-1:709902155096:NewICOGS3DObject us-east-1 SNS Topic https://noaa-nos-stofs3d-pds.s3.amazonaws.com/README.html For questions regarding data content or quality, visit the STOFS site (https://p [NOAA](http://www.noaa.gov/) One time per day at 12 UTC Open Data. There are no restrictions on the use of this data. aws-pds, global, coastal, marine navigation, disaster response, weather, water, environmental, meteorological, oceans, sustainability, climate NOAA 3-D Surge and Tide Operational Forecast System for the Atlantic Basin (STOFS-3D-Atlantic) NOAA STOFS-3D-Atlantic Forecast Guidance arn:aws:s3:::noaa-nos-stofs3d-pds us-east-1 S3 Bucket https://noaa-nos-stofs3d-pds.s3.amazonaws.com/README.html For questions regarding data content or quality, visit the STOFS site (https://p [NOAA](http://www.noaa.gov/) One time per day at 12 UTC Open Data. There are no restrictions on the use of this data. aws-pds, global, coastal, marine navigation, disaster response, weather, water, environmental, meteorological, oceans, sustainability, climate ['[Browse Bucket](https://noaa-nos-stofs3d-pds.s3.amazonaws.com/index.html)'] +NOAA 3-D Surge and Tide Operational Forecast System for the Atlantic Basin (STOFS-3D-Atlantic) NOAA STOFS-3D-Atlantic Forecast Guidance New Dataset Notification arn:aws:sns:us-east-1:709902155096:NewICOGS3DObject us-east-1 SNS Topic https://noaa-nos-stofs3d-pds.s3.amazonaws.com/README.html For questions regarding data content or quality, visit the STOFS site (https://p [NOAA](http://www.noaa.gov/) One time per day at 12 UTC Open Data. There are no restrictions on the use of this data. aws-pds, global, coastal, marine navigation, disaster response, weather, water, environmental, meteorological, oceans, sustainability, climate NOAA Analysis of Record for Calibration (AORC) Dataset 1-km resolution AORC version 11 arn:aws:s3:::noaa-nws-aorc-v1-1-1km us-east-1 S3 Bucket [Analysis of Record for Calibration: Version 1.1 Sources, Methods, and Verificat For questions regarding data content or quality, email the AORC team at aorc.inf [NOAA](http://www.noaa.gov/) To be determined CC-0 - Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, weather, climate, environmental, disaster response, agriculture, transportation ['[Browse Bucket](https://noaa-nws-aorc-v1-1-1km.s3.amazonaws.com/index.html)'] NOAA Atmospheric Climate Data Records Solar Spectral Irradiance arn:aws:s3:::noaa-cdr-solar-spectral-irradiance-pds us-east-1 S3 Bucket https://www.ncei.noaa.gov/products/climate-data-records/atmospheric For questions regarding the specific CDR data holdings, please contact NCEI.SAT. [NOAA](http://www.noaa.gov/) Climate Data Records are updated independently. For update frequency for a speci Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, climate, meteorological, sustainability, weather ['[Browse Bucket](https://noaa-cdr-solar-spectral-irradiance-pds.s3.amazonaws.com/index.html)'] NOAA Atmospheric Climate Data Records Total Solar Irradiance arn:aws:s3:::noaa-cdr-total-solar-irradiance-pds us-east-1 S3 Bucket https://www.ncei.noaa.gov/products/climate-data-records/atmospheric For questions regarding the specific CDR data holdings, please contact NCEI.SAT. [NOAA](http://www.noaa.gov/) Climate Data Records are updated independently. For update frequency for a speci Open Data. There are no restrictions on the use of this data. aws-pds, agriculture, climate, meteorological, sustainability, weather ['[Browse Bucket](https://noaa-cdr-total-solar-irradiance-pds.s3.amazonaws.com/index.html)'] diff --git a/gee_catalog.json b/gee_catalog.json index 9ddf484..95ea3e7 100644 --- a/gee_catalog.json +++ b/gee_catalog.json @@ -726,7 +726,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S1_GRD')", "provider": "European Union/ESA/Copernicus", "state_date": "2014-10-03", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "backscatter, copernicus, esa, eu, polarization, radar, sar, sentinel", @@ -744,7 +744,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S2')", "provider": "European Union/ESA/Copernicus", "state_date": "2015-06-27", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -56, 180, 83", "deprecated": true, "keywords": "copernicus, esa, eu, msi, radiance, sentinel", @@ -762,7 +762,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S2_CLOUD_PROBABILITY')", "provider": "European Union/ESA/Copernicus/SentinelHub", "state_date": "2015-06-27", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -56, 180, 83", "deprecated": false, "keywords": "cloud, copernicus, esa, eu, msi, radiance, sentinel, sentinelhub", @@ -780,7 +780,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S2_HARMONIZED')", "provider": "European Union/ESA/Copernicus", "state_date": "2015-06-27", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -56, 180, 83", "deprecated": false, "keywords": "copernicus, esa, eu, msi, radiance, sentinel", @@ -798,7 +798,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S2_SR')", "provider": "European Union/ESA/Copernicus", "state_date": "2017-03-28", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -56, 180, 83", "deprecated": true, "keywords": "copernicus, esa, eu, msi, reflectance, sentinel, sr", @@ -816,7 +816,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')", "provider": "European Union/ESA/Copernicus", "state_date": "2017-03-28", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -56, 180, 83", "deprecated": false, "keywords": "copernicus, esa, eu, msi, reflectance, sentinel, sr", @@ -834,7 +834,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S3/OLCI')", "provider": "European Union/ESA/Copernicus", "state_date": "2016-10-18", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "copernicus, esa, eu, olci, radiance, sentinel, toa", @@ -852,7 +852,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_AI')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-10", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai", @@ -870,7 +870,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_LH')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-10", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai", @@ -888,7 +888,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CLOUD')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-05", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi", @@ -906,7 +906,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CO')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-11-22", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi", @@ -924,7 +924,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_HCHO')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-10-02", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi", @@ -942,7 +942,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-10", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi", @@ -960,7 +960,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_O3')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-10", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi", @@ -978,7 +978,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_SO2')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-10", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi", @@ -1050,7 +1050,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CLOUD')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-04", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi", @@ -1068,7 +1068,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CO')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-06-28", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi", @@ -1086,7 +1086,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_HCHO')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-12-05", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi", @@ -1104,7 +1104,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_NO2')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-06-28", - "end_date": "2024-12-07", + "end_date": "2024-12-08", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi", @@ -1122,7 +1122,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-09-08", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi", @@ -1626,7 +1626,7 @@ "snippet": "ee.ImageCollection('ECMWF/ERA5_LAND/DAILY_AGGR')", "provider": "Daily Aggregates: Google and Copernicus Climate Data Store", "state_date": "1950-01-02", - "end_date": "2024-12-09", + "end_date": "2024-12-10", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind", @@ -1644,7 +1644,7 @@ "snippet": "ee.ImageCollection('ECMWF/ERA5_LAND/HOURLY')", "provider": "Copernicus Climate Data Store", "state_date": "1950-01-01", - "end_date": "2024-12-10", + "end_date": "2024-12-11", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind", @@ -2400,7 +2400,7 @@ "snippet": "ee.ImageCollection('FIRMS')", "provider": "NASA / LANCE / EOSDIS", "state_date": "2000-11-01", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal", @@ -2688,7 +2688,7 @@ "snippet": "ee.ImageCollection('GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED')", "provider": "Google Earth Engine", "state_date": "2015-06-27", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "google, cloud, sentinel2_derived", @@ -2706,7 +2706,7 @@ "snippet": "ee.ImageCollection('GOOGLE/DYNAMICWORLD/V1')", "provider": "World Resources Institute", "state_date": "2015-06-27", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "global, google, landcover, landuse, nrt, sentinel2_derived", @@ -2994,7 +2994,7 @@ "snippet": "ee.ImageCollection('IDAHO_EPSCOR/GRIDMET')", "provider": "University of California Merced", "state_date": "1979-01-01", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-124.9, 24.9, -66.8, 49.6", "deprecated": false, "keywords": "climate, fireburning, gridmet, humidity, merced, metdata, nfdrs, precipitation, radiation, temperature, wind", @@ -3750,7 +3750,7 @@ "snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V3')", "provider": "Global Change Observation Mission (GCOM)", "state_date": "2021-11-29", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index", @@ -3804,7 +3804,7 @@ "snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V3')", "provider": "Global Change Observation Mission (GCOM)", "state_date": "2021-11-29", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst", @@ -3858,7 +3858,7 @@ "snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V3')", "provider": "Global Change Observation Mission (GCOM)", "state_date": "2021-11-29", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color", @@ -3912,7 +3912,7 @@ "snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V3')", "provider": "Global Change Observation Mission (GCOM)", "state_date": "2018-01-22", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst", @@ -3930,7 +3930,7 @@ "snippet": "ee.ImageCollection('JAXA/GPM_L3/GSMaP/v6/operational')", "provider": "JAXA Earth Observation Research Center", "state_date": "2014-03-01", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -60, 180, 60", "deprecated": false, "keywords": "climate, geophysical, gpm, hourly, jaxa, precipitation, weather", @@ -3966,7 +3966,7 @@ "snippet": "ee.ImageCollection('JAXA/GPM_L3/GSMaP/v7/operational')", "provider": "JAXA Earth Observation Research Center", "state_date": "2014-03-01", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -60, 180, 60", "deprecated": false, "keywords": "climate, geophysical, gpm, hourly, jaxa, precipitation, weather", @@ -3984,7 +3984,7 @@ "snippet": "ee.ImageCollection('JAXA/GPM_L3/GSMaP/v8/operational')", "provider": "JAXA Earth Observation Research Center", "state_date": "1998-01-01", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -60, 180, 60", "deprecated": false, "keywords": "climate, geophysical, gpm, hourly, jaxa, precipitation, weather", @@ -5514,7 +5514,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC08/C02/T1_RT')", "provider": "USGS", "state_date": "2013-03-18", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, l8, landsat, lc8, nrt, oli_tirs, radiance, rt, t1, tier1, usgs", @@ -5532,7 +5532,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC08/C02/T1_RT_TOA')", "provider": "USGS/Google", "state_date": "2013-03-18", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, l8, landsat, lc8, toa, usgs", @@ -5604,7 +5604,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC08/C02/T2_TOA')", "provider": "USGS/Google", "state_date": "2021-10-28", - "end_date": "2024-12-08", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, landsat, toa, usgs", @@ -5622,7 +5622,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T1')", "provider": "USGS", "state_date": "2021-10-31", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, l9, landsat, lc9, oli_tirs, radiance, t1, tier1, usgs", @@ -5640,7 +5640,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T1_L2')", "provider": "USGS", "state_date": "2021-10-31", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs", @@ -5658,7 +5658,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T1_TOA')", "provider": "USGS/Google", "state_date": "2021-10-31", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, landsat, toa, usgs", @@ -5712,7 +5712,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T2_TOA')", "provider": "USGS/Google", "state_date": "2021-11-02", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, l9, landsat, lc9, toa, usgs", @@ -7710,7 +7710,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MCD43A1')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-04", + "end_date": "2024-12-08", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "albedo, brdf, daily, global, mcd43a1, modis, nasa, reflectance, usgs", @@ -7728,7 +7728,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MCD43A2')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-04", + "end_date": "2024-12-08", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "albedo, brdf, daily, global, modis, nasa, quality, reflectance, usgs", @@ -7746,7 +7746,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MCD43A3')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-04", + "end_date": "2024-12-08", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "albedo, black_sky, daily, global, modis, nasa, usgs, white_sky", @@ -7764,7 +7764,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MCD43A4')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-04", + "end_date": "2024-12-08", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "albedo, brdf, daily, global, modis, nasa, reflectance, usgs", @@ -7782,7 +7782,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MCD43C3')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-04", + "end_date": "2024-12-08", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "albedo, black_sky, brdf, daily, global, modis, nasa, usgs, white_sky", @@ -7854,7 +7854,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MOD09CMG')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "brightness_temperature, ozone, surface_reflectance, terra", @@ -7926,7 +7926,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MOD10A1')", "provider": "NASA NSIDC DAAC at CIRES", "state_date": "2000-02-24", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "albedo, daily, geophysical, global, mod10a1, modis, nasa, nsidc, snow, terra", @@ -7944,7 +7944,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MOD11A1')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-11", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, emissivity, global, lst, mod11a1, modis, nasa, surface_temperature, terra, usgs", @@ -8214,7 +8214,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MOD21A1D')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs", @@ -8232,7 +8232,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MOD21A1N')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs", @@ -8250,7 +8250,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MOD21C1')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs", @@ -8340,7 +8340,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MYD09CMG')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2002-07-04", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "brightness_temperature, ozone, surface_reflectance, aqua", @@ -8358,7 +8358,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MYD09GA')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2002-07-04", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aqua, daily, global, modis, myd09ga, nasa, sr, surface_reflectance, usgs", @@ -8376,7 +8376,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MYD09GQ')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2002-07-04", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aqua, daily, global, modis, myd09gq, nasa, sr, surface_reflectance, usgs", @@ -8412,7 +8412,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MYD10A1')", "provider": "NASA NSIDC DAAC at CIRES", "state_date": "2002-07-04", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "albedo, aqua, daily, geophysical, global, modis, myd10a1, nasa, nsidc, snow", @@ -8430,7 +8430,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MYD11A1')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2002-07-04", - "end_date": "2024-12-11", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aqua, daily, emissivity, global, lst, modis, myd11a1, nasa, surface_temperature, usgs", @@ -8646,7 +8646,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MYD21A1D')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs", @@ -8664,7 +8664,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MYD21A1N')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs", @@ -8682,7 +8682,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MYD21C1')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs", @@ -9708,7 +9708,7 @@ "snippet": "ee.ImageCollection('NASA/EMIT/L1B/RAD')", "provider": "NASA Jet Propulsion Laboratory", "state_date": "2022-08-09", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, emit, nasa, radiance", @@ -9726,7 +9726,7 @@ "snippet": "ee.ImageCollection('NASA/EMIT/L2A/RFL')", "provider": "NASA Jet Propulsion Laboratory", "state_date": "2022-08-09", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, emit, nasa, reflectance", @@ -9816,7 +9816,7 @@ "snippet": "ee.ImageCollection('NASA/GEOS-CF/v1/fcst/htf')", "provider": "NASA / GMAO", "state_date": "2022-10-01", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "composition, forecast, geos, gmao, nasa", @@ -9834,7 +9834,7 @@ "snippet": "ee.ImageCollection('NASA/GEOS-CF/v1/fcst/tavg1hr')", "provider": "NASA / GMAO", "state_date": "2022-10-01", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "composition, forecast, geos, gmao, nasa", @@ -9852,7 +9852,7 @@ "snippet": "ee.ImageCollection('NASA/GEOS-CF/v1/rpl/htf')", "provider": "NASA / GMAO", "state_date": "2018-01-01", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "composition, forecast, geos, gmao, nasa", @@ -9870,7 +9870,7 @@ "snippet": "ee.ImageCollection('NASA/GEOS-CF/v1/rpl/tavg1hr')", "provider": "NASA / GMAO", "state_date": "2018-01-01", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "composition, forecast, geos, gmao, nasa", @@ -10302,7 +10302,7 @@ "snippet": "ee.ImageCollection('NASA/HLS/HLSL30/v002')", "provider": "NASA LP DAAC", "state_date": "2013-04-11", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "landsat, nasa, sentinel, usgs", @@ -10338,7 +10338,7 @@ "snippet": "ee.ImageCollection('NASA/LANCE/NOAA20_VIIRS/C2')", "provider": "NASA / LANCE / NOAA20_VIIRS", "state_date": "2023-10-08", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal, viirs", @@ -10356,7 +10356,7 @@ "snippet": "ee.ImageCollection('NASA/LANCE/SNPP_VIIRS/C2')", "provider": "NASA / LANCE / SNPP_VIIRS", "state_date": "2023-09-03", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal, viirs", @@ -10644,7 +10644,7 @@ "snippet": "ee.ImageCollection('NASA/SMAP/SPL4SMGP/007')", "provider": "Google and NSIDC", "state_date": "2015-03-31", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -84, 180, 84", "deprecated": false, "keywords": "drought, nasa, smap, soil_moisture, surface, weather", @@ -10680,7 +10680,7 @@ "snippet": "ee.ImageCollection('NASA/VIIRS/002/VNP09H1')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2012-01-19", - "end_date": "2024-11-24", + "end_date": "2024-12-02", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, nasa, noaa, npp, reflectance, sr, viirs", @@ -10734,7 +10734,7 @@ "snippet": "ee.ImageCollection('NASA/VIIRS/002/VNP15A2H')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2012-01-17", - "end_date": "2024-11-24", + "end_date": "2024-12-02", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "land, nasa, noaa, surface, viirs", @@ -10842,7 +10842,7 @@ "snippet": "ee.ImageCollection('NCEP_RE/sea_level_pressure')", "provider": "NCEP", "state_date": "1948-01-01", - "end_date": "2024-12-13", + "end_date": "2024-12-14", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "atmosphere, climate, geophysical, ncep, noaa, pressure, reanalysis", @@ -10860,7 +10860,7 @@ "snippet": "ee.ImageCollection('NCEP_RE/surface_temp')", "provider": "NCEP", "state_date": "1948-01-01", - "end_date": "2024-12-13", + "end_date": "2024-12-14", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "atmosphere, climate, geophysical, ncep, noaa, reanalysis, temperature", @@ -10878,7 +10878,7 @@ "snippet": "ee.ImageCollection('NCEP_RE/surface_wv')", "provider": "NCEP", "state_date": "1948-01-01", - "end_date": "2024-12-13", + "end_date": "2024-12-14", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "atmosphere, climate, geophysical, ncep, noaa, precipitable, reanalysis, vapor", @@ -11112,7 +11112,7 @@ "snippet": "ee.ImageCollection('NOAA/CDR/OISST/V2_1')", "provider": "NOAA", "state_date": "1981-09-01", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "avhrr, cdr, daily, ice, noaa, ocean, oisst, real_time, sst, temperature", @@ -11184,7 +11184,7 @@ "snippet": "ee.ImageCollection('NOAA/CFSR')", "provider": "NOAA NWS National Centers for Environmental Prediction (NCEP)", "state_date": "2018-12-13", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather", @@ -11202,7 +11202,7 @@ "snippet": "ee.ImageCollection('NOAA/CFSV2/FOR6H')", "provider": "NOAA NWS National Centers for Environmental Prediction (NCEP)", "state_date": "1979-01-01", - "end_date": "2024-12-15", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather", @@ -11220,7 +11220,7 @@ "snippet": "ee.ImageCollection('NOAA/CPC/Precipitation')", "provider": "NOAA Physical Sciences Laboratory", "state_date": "2006-01-01", - "end_date": "2024-12-14", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, noaa, precipitation, weather", @@ -11238,7 +11238,7 @@ "snippet": "ee.ImageCollection('NOAA/CPC/Temperature')", "provider": "NOAA Physical Sciences Laboratory", "state_date": "1979-01-01", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, noaa, precipitation, weather", @@ -11292,7 +11292,7 @@ "snippet": "ee.ImageCollection('NOAA/GFS0P25')", "provider": "NOAA/NCEP/EMC", "state_date": "2015-07-01", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, cloud, emc, flux, forecast, geophysical, gfs, humidity, ncep, noaa, precipitation, radiation, temperature, vapor, weather, wind", @@ -11310,7 +11310,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/16/FDCC')", "provider": "NOAA", "state_date": "2017-05-24", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-152.11, 14, -49.18, 56.77", "deprecated": false, "keywords": "abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire", @@ -11328,7 +11328,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/16/FDCF')", "provider": "NOAA", "state_date": "2017-05-24", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire", @@ -11346,7 +11346,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/16/MCMIPC')", "provider": "NOAA", "state_date": "2017-07-10", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-152.11, 14, -49.18, 56.77", "deprecated": false, "keywords": "abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather", @@ -11364,7 +11364,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/16/MCMIPF')", "provider": "NOAA", "state_date": "2017-07-10", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather", @@ -11382,7 +11382,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/16/MCMIPM')", "provider": "NOAA", "state_date": "2017-07-10", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather", @@ -11490,7 +11490,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/18/FDCC')", "provider": "NOAA", "state_date": "2022-10-13", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, 14.57, 180, 53.51", "deprecated": false, "keywords": "abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire", @@ -11508,7 +11508,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/18/FDCF')", "provider": "NOAA", "state_date": "2022-10-13", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire", @@ -11526,7 +11526,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/18/MCMIPC')", "provider": "NOAA", "state_date": "2018-12-04", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, 14.57, 180, 53.51", "deprecated": false, "keywords": "abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather", @@ -11544,7 +11544,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/18/MCMIPF')", "provider": "NOAA", "state_date": "2018-12-04", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather", @@ -11562,7 +11562,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/18/MCMIPM')", "provider": "NOAA", "state_date": "2018-12-04", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather", @@ -11670,7 +11670,7 @@ "snippet": "ee.ImageCollection('NOAA/NWS/RTMA')", "provider": "NOAA/NWS", "state_date": "2011-01-01", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-130.17, 20.15, -60.81, 52.91", "deprecated": false, "keywords": "climate, cloud, geophysical, humidity, noaa, nws, precipitation, pressure, rtma, surface, temperature, visibility, weather, wind", @@ -11886,7 +11886,7 @@ "snippet": "ee.ImageCollection('NOAA/VIIRS/001/VNP46A1')", "provider": "NASA LAADS DAAC", "state_date": "2012-01-19", - "end_date": "2024-12-08", + "end_date": "2024-12-15", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, dnb, nasa, noaa, viirs", @@ -11904,7 +11904,7 @@ "snippet": "ee.ImageCollection('NOAA/VIIRS/001/VNP46A2')", "provider": "NASA LAADS DAAC", "state_date": "2012-01-19", - "end_date": "2024-12-01", + "end_date": "2024-12-03", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "brdf, daily, nasa, noaa, viirs", @@ -11976,7 +11976,7 @@ "snippet": "ee.ImageCollection('NOAA/VIIRS/DNB/MONTHLY_V1/VCMCFG')", "provider": "Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines", "state_date": "2012-04-01", - "end_date": "2024-07-01", + "end_date": "2024-08-01", "bbox": "-180, -65, 180, 75", "deprecated": false, "keywords": "dnb, eog, lights, monthly, nighttime, noaa, viirs, visible", @@ -11994,7 +11994,7 @@ "snippet": "ee.ImageCollection('NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG')", "provider": "Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines", "state_date": "2014-01-01", - "end_date": "2024-07-01", + "end_date": "2024-08-01", "bbox": "-180, -65, 180, 75", "deprecated": false, "keywords": "dnb, eog, lights, monthly, nighttime, noaa, stray_light, viirs, visible", @@ -12048,7 +12048,7 @@ "snippet": "ee.ImageCollection('OREGONSTATE/PRISM/AN81d')", "provider": "PRISM / OREGONSTATE", "state_date": "1981-01-01", - "end_date": "2024-12-13", + "end_date": "2024-12-14", "bbox": "-125, 24, -66, 50", "deprecated": false, "keywords": "climate, daily, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather", @@ -13308,7 +13308,7 @@ "snippet": "ee.ImageCollection('UCSB-CHG/CHIRPS/PENTAD')", "provider": "UCSB/CHG", "state_date": "1981-01-01", - "end_date": "2024-10-26", + "end_date": "2024-11-26", "bbox": "-180, -50, 180, 50", "deprecated": false, "keywords": "chg, climate, geophysical, precipitation, ucsb, weather", @@ -14784,7 +14784,7 @@ "snippet": "ee.ImageCollection('UTOKYO/WTLAB/KBDI/v1')", "provider": "Institute of Industrial Science, The University of Tokyo, Japan", "state_date": "2007-01-01", - "end_date": "2024-12-15", + "end_date": "2024-12-16", "bbox": "60, -60, 180, 60", "deprecated": false, "keywords": "drought, kbdi, lst_derived, rainfall, utokyo, wtlab", @@ -16116,7 +16116,7 @@ "snippet": "ee.ImageCollection('projects/gcp-public-data-weathernext/assets/59572747_4_0')", "provider": "Google", "state_date": "2020-01-01", - "end_date": "2024-12-16", + "end_date": "2024-12-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "weather, weathernext, forecast, temperature, precipitation, wind", diff --git a/gee_catalog.tsv b/gee_catalog.tsv index 5a3147d..396661d 100644 --- a/gee_catalog.tsv +++ b/gee_catalog.tsv @@ -39,29 +39,29 @@ COPERNICUS/CORINE/V20/100m Copernicus CORINE Land Cover image_collection ee.Imag COPERNICUS/DEM/GLO30 Copernicus DEM GLO-30: Global 30m Digital Elevation Model image_collection ee.ImageCollection('COPERNICUS/DEM/GLO30') Copernicus 2010-12-01 2015-01-31 -180, -90, 180, 90 False copernicus, dem, elevation, geophysical https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_DEM_GLO30.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_DEM_GLO30 proprietary COPERNICUS/Landcover/100m/Proba-V-C3/Global Copernicus Global Land Cover Layers: CGLS-LC100 Collection 3 image_collection ee.ImageCollection('COPERNICUS/Landcover/100m/Proba-V-C3/Global') Copernicus 2015-01-01 2019-12-31 -180, -90, 180, 90 False copernicus, eea, esa, eu, landcover, proba, probav, vito https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_Landcover_100m_Proba-V-C3_Global.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global proprietary COPERNICUS/Landcover/100m/Proba-V/Global Copernicus Global Land Cover Layers: CGLS-LC100 Collection 2 [deprecated] image_collection ee.ImageCollection('COPERNICUS/Landcover/100m/Proba-V/Global') Copernicus 2015-01-01 2015-01-01 -180, -90, 180, 90 True copernicus, eea, esa, eu, landcover, proba, probav, vito https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_Landcover_100m_Proba-V_Global.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V_Global proprietary -COPERNICUS/S1_GRD Sentinel-1 SAR GRD: C-band Synthetic Aperture Radar Ground Range Detected, log scaling image_collection ee.ImageCollection('COPERNICUS/S1_GRD') European Union/ESA/Copernicus 2014-10-03 2024-12-16 -180, -90, 180, 90 False backscatter, copernicus, esa, eu, polarization, radar, sar, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S1_GRD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD proprietary -COPERNICUS/S2 Sentinel-2 MSI: MultiSpectral Instrument, Level-1C [deprecated] image_collection ee.ImageCollection('COPERNICUS/S2') European Union/ESA/Copernicus 2015-06-27 2024-12-16 -180, -56, 180, 83 True copernicus, esa, eu, msi, radiance, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2 proprietary -COPERNICUS/S2_CLOUD_PROBABILITY Sentinel-2: Cloud Probability image_collection ee.ImageCollection('COPERNICUS/S2_CLOUD_PROBABILITY') European Union/ESA/Copernicus/SentinelHub 2015-06-27 2024-12-16 -180, -56, 180, 83 False cloud, copernicus, esa, eu, msi, radiance, sentinel, sentinelhub https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_CLOUD_PROBABILITY.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_CLOUD_PROBABILITY proprietary -COPERNICUS/S2_HARMONIZED Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-1C image_collection ee.ImageCollection('COPERNICUS/S2_HARMONIZED') European Union/ESA/Copernicus 2015-06-27 2024-12-16 -180, -56, 180, 83 False copernicus, esa, eu, msi, radiance, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_HARMONIZED proprietary -COPERNICUS/S2_SR Sentinel-2 MSI: MultiSpectral Instrument, Level-2A [deprecated] image_collection ee.ImageCollection('COPERNICUS/S2_SR') European Union/ESA/Copernicus 2017-03-28 2024-12-16 -180, -56, 180, 83 True copernicus, esa, eu, msi, reflectance, sentinel, sr https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_SR.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR proprietary -COPERNICUS/S2_SR_HARMONIZED Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-2A image_collection ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED') European Union/ESA/Copernicus 2017-03-28 2024-12-16 -180, -56, 180, 83 False copernicus, esa, eu, msi, reflectance, sentinel, sr https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_SR_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED proprietary -COPERNICUS/S3/OLCI Sentinel-3 OLCI EFR: Ocean and Land Color Instrument Earth Observation Full Resolution image_collection ee.ImageCollection('COPERNICUS/S3/OLCI') European Union/ESA/Copernicus 2016-10-18 2024-12-15 -180, -90, 180, 90 False copernicus, esa, eu, olci, radiance, sentinel, toa https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S3_OLCI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S3_OLCI proprietary -COPERNICUS/S5P/NRTI/L3_AER_AI Sentinel-5P NRTI AER AI: Near Real-Time UV Aerosol Index image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_AI') European Union/ESA/Copernicus 2018-07-10 2024-12-16 -180, -90, 180, 90 False aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_AER_AI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_AER_AI proprietary -COPERNICUS/S5P/NRTI/L3_AER_LH Sentinel-5P NRTI AER LH: Near Real-Time UV Aerosol Layer Height image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_LH') European Union/ESA/Copernicus 2018-07-10 2024-12-16 -180, -90, 180, 90 False aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_AER_LH.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_AER_LH proprietary -COPERNICUS/S5P/NRTI/L3_CLOUD Sentinel-5P NRTI CLOUD: Near Real-Time Cloud image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CLOUD') European Union/ESA/Copernicus 2018-07-05 2024-12-16 -180, -90, 180, 90 False climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_CLOUD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_CLOUD proprietary -COPERNICUS/S5P/NRTI/L3_CO Sentinel-5P NRTI CO: Near Real-Time Carbon Monoxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CO') European Union/ESA/Copernicus 2018-11-22 2024-12-16 -180, -90, 180, 90 False air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_CO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_CO proprietary -COPERNICUS/S5P/NRTI/L3_HCHO Sentinel-5P NRTI HCHO: Near Real-Time Formaldehyde image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_HCHO') European Union/ESA/Copernicus 2018-10-02 2024-12-16 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_HCHO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_HCHO proprietary -COPERNICUS/S5P/NRTI/L3_NO2 Sentinel-5P NRTI NO2: Near Real-Time Nitrogen Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2') European Union/ESA/Copernicus 2018-07-10 2024-12-16 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_NO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_NO2 proprietary -COPERNICUS/S5P/NRTI/L3_O3 Sentinel-5P NRTI O3: Near Real-Time Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_O3') European Union/ESA/Copernicus 2018-07-10 2024-12-16 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_O3.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_O3 proprietary -COPERNICUS/S5P/NRTI/L3_SO2 Sentinel-5P NRTI SO2: Near Real-Time Sulfur Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_SO2') European Union/ESA/Copernicus 2018-07-10 2024-12-16 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_SO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_SO2 proprietary +COPERNICUS/S1_GRD Sentinel-1 SAR GRD: C-band Synthetic Aperture Radar Ground Range Detected, log scaling image_collection ee.ImageCollection('COPERNICUS/S1_GRD') European Union/ESA/Copernicus 2014-10-03 2024-12-17 -180, -90, 180, 90 False backscatter, copernicus, esa, eu, polarization, radar, sar, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S1_GRD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD proprietary +COPERNICUS/S2 Sentinel-2 MSI: MultiSpectral Instrument, Level-1C [deprecated] image_collection ee.ImageCollection('COPERNICUS/S2') European Union/ESA/Copernicus 2015-06-27 2024-12-17 -180, -56, 180, 83 True copernicus, esa, eu, msi, radiance, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2 proprietary +COPERNICUS/S2_CLOUD_PROBABILITY Sentinel-2: Cloud Probability image_collection ee.ImageCollection('COPERNICUS/S2_CLOUD_PROBABILITY') European Union/ESA/Copernicus/SentinelHub 2015-06-27 2024-12-17 -180, -56, 180, 83 False cloud, copernicus, esa, eu, msi, radiance, sentinel, sentinelhub https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_CLOUD_PROBABILITY.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_CLOUD_PROBABILITY proprietary +COPERNICUS/S2_HARMONIZED Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-1C image_collection ee.ImageCollection('COPERNICUS/S2_HARMONIZED') European Union/ESA/Copernicus 2015-06-27 2024-12-17 -180, -56, 180, 83 False copernicus, esa, eu, msi, radiance, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_HARMONIZED proprietary +COPERNICUS/S2_SR Sentinel-2 MSI: MultiSpectral Instrument, Level-2A [deprecated] image_collection ee.ImageCollection('COPERNICUS/S2_SR') European Union/ESA/Copernicus 2017-03-28 2024-12-17 -180, -56, 180, 83 True copernicus, esa, eu, msi, reflectance, sentinel, sr https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_SR.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR proprietary +COPERNICUS/S2_SR_HARMONIZED Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-2A image_collection ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED') European Union/ESA/Copernicus 2017-03-28 2024-12-17 -180, -56, 180, 83 False copernicus, esa, eu, msi, reflectance, sentinel, sr https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_SR_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED proprietary +COPERNICUS/S3/OLCI Sentinel-3 OLCI EFR: Ocean and Land Color Instrument Earth Observation Full Resolution image_collection ee.ImageCollection('COPERNICUS/S3/OLCI') European Union/ESA/Copernicus 2016-10-18 2024-12-16 -180, -90, 180, 90 False copernicus, esa, eu, olci, radiance, sentinel, toa https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S3_OLCI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S3_OLCI proprietary +COPERNICUS/S5P/NRTI/L3_AER_AI Sentinel-5P NRTI AER AI: Near Real-Time UV Aerosol Index image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_AI') European Union/ESA/Copernicus 2018-07-10 2024-12-17 -180, -90, 180, 90 False aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_AER_AI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_AER_AI proprietary +COPERNICUS/S5P/NRTI/L3_AER_LH Sentinel-5P NRTI AER LH: Near Real-Time UV Aerosol Layer Height image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_LH') European Union/ESA/Copernicus 2018-07-10 2024-12-17 -180, -90, 180, 90 False aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_AER_LH.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_AER_LH proprietary +COPERNICUS/S5P/NRTI/L3_CLOUD Sentinel-5P NRTI CLOUD: Near Real-Time Cloud image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CLOUD') European Union/ESA/Copernicus 2018-07-05 2024-12-17 -180, -90, 180, 90 False climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_CLOUD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_CLOUD proprietary +COPERNICUS/S5P/NRTI/L3_CO Sentinel-5P NRTI CO: Near Real-Time Carbon Monoxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CO') European Union/ESA/Copernicus 2018-11-22 2024-12-17 -180, -90, 180, 90 False air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_CO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_CO proprietary +COPERNICUS/S5P/NRTI/L3_HCHO Sentinel-5P NRTI HCHO: Near Real-Time Formaldehyde image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_HCHO') European Union/ESA/Copernicus 2018-10-02 2024-12-17 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_HCHO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_HCHO proprietary +COPERNICUS/S5P/NRTI/L3_NO2 Sentinel-5P NRTI NO2: Near Real-Time Nitrogen Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2') European Union/ESA/Copernicus 2018-07-10 2024-12-17 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_NO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_NO2 proprietary +COPERNICUS/S5P/NRTI/L3_O3 Sentinel-5P NRTI O3: Near Real-Time Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_O3') European Union/ESA/Copernicus 2018-07-10 2024-12-17 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_O3.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_O3 proprietary +COPERNICUS/S5P/NRTI/L3_SO2 Sentinel-5P NRTI SO2: Near Real-Time Sulfur Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_SO2') European Union/ESA/Copernicus 2018-07-10 2024-12-17 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_SO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_SO2 proprietary COPERNICUS/S5P/OFFL/L3_AER_AI Sentinel-5P OFFL AER AI: Offline UV Aerosol Index image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_AER_AI') European Union/ESA/Copernicus 2018-07-04 2024-12-14 -180, -90, 180, 90 False aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_AER_AI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_AER_AI proprietary COPERNICUS/S5P/OFFL/L3_AER_LH Sentinel-5P OFFL AER LH: Offline UV Aerosol Layer Height image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_AER_LH') European Union/ESA/Copernicus 2018-07-04 2024-12-14 -180, -90, 180, 90 False aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_AER_LH.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_AER_LH proprietary COPERNICUS/S5P/OFFL/L3_CH4 Sentinel-5P OFFL CH4: Offline Methane image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CH4') European Union/ESA/Copernicus 2019-02-08 2024-12-14 -180, -90, 180, 90 False climate, copernicus, esa, eu, knmi, methane, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CH4.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CH4 proprietary -COPERNICUS/S5P/OFFL/L3_CLOUD Sentinel-5P OFFL CLOUD: Near Real-Time Cloud image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CLOUD') European Union/ESA/Copernicus 2018-07-04 2024-12-14 -180, -90, 180, 90 False climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CLOUD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CLOUD proprietary -COPERNICUS/S5P/OFFL/L3_CO Sentinel-5P OFFL CO: Offline Carbon Monoxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CO') European Union/ESA/Copernicus 2018-06-28 2024-12-14 -180, -90, 180, 90 False air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CO proprietary -COPERNICUS/S5P/OFFL/L3_HCHO Sentinel-5P OFFL HCHO: Offline Formaldehyde image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_HCHO') European Union/ESA/Copernicus 2018-12-05 2024-12-14 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_HCHO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_HCHO proprietary -COPERNICUS/S5P/OFFL/L3_NO2 Sentinel-5P OFFL NO2: Offline Nitrogen Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_NO2') European Union/ESA/Copernicus 2018-06-28 2024-12-07 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_NO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_NO2 proprietary -COPERNICUS/S5P/OFFL/L3_O3 Sentinel-5P OFFL O3: Offline Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3') European Union/ESA/Copernicus 2018-09-08 2024-12-14 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_O3.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_O3 proprietary +COPERNICUS/S5P/OFFL/L3_CLOUD Sentinel-5P OFFL CLOUD: Near Real-Time Cloud image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CLOUD') European Union/ESA/Copernicus 2018-07-04 2024-12-15 -180, -90, 180, 90 False climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CLOUD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CLOUD proprietary +COPERNICUS/S5P/OFFL/L3_CO Sentinel-5P OFFL CO: Offline Carbon Monoxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CO') European Union/ESA/Copernicus 2018-06-28 2024-12-15 -180, -90, 180, 90 False air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CO proprietary +COPERNICUS/S5P/OFFL/L3_HCHO Sentinel-5P OFFL HCHO: Offline Formaldehyde image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_HCHO') European Union/ESA/Copernicus 2018-12-05 2024-12-15 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_HCHO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_HCHO proprietary +COPERNICUS/S5P/OFFL/L3_NO2 Sentinel-5P OFFL NO2: Offline Nitrogen Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_NO2') European Union/ESA/Copernicus 2018-06-28 2024-12-08 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_NO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_NO2 proprietary +COPERNICUS/S5P/OFFL/L3_O3 Sentinel-5P OFFL O3: Offline Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3') European Union/ESA/Copernicus 2018-09-08 2024-12-15 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_O3.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_O3 proprietary COPERNICUS/S5P/OFFL/L3_O3_TCL Sentinel-5P OFFL O3 TCL: Offline Tropospheric Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3_TCL') European Union/ESA/Copernicus 2018-04-30 2024-11-27 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_O3_TCL.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_O3_TCL proprietary COPERNICUS/S5P/OFFL/L3_SO2 Sentinel-5P OFFL SO2: Offline Sulfur Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_SO2') European Union/ESA/Copernicus 2018-12-05 2024-12-14 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_SO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_SO2 proprietary CPOM/CryoSat2/ANTARCTICA_DEM CryoSat-2 Antarctica 1km DEM image ee.Image('CPOM/CryoSat2/ANTARCTICA_DEM') CPOM 2010-07-01 2016-07-01 -180, -88, 180, -60 False antarctica, cpom, cryosat_2, dem, elevation, polar https://storage.googleapis.com/earthengine-stac/catalog/CPOM/CPOM_CryoSat2_ANTARCTICA_DEM.json https://developers.google.com/earth-engine/datasets/catalog/CPOM_CryoSat2_ANTARCTICA_DEM proprietary @@ -89,8 +89,8 @@ DOE/ORNL/LandScan_HD/Ukraine_202201 LandScan High Definition Data for Ukraine, J ECMWF/CAMS/NRT Copernicus Atmosphere Monitoring Service (CAMS) Global Near-Real-Time image_collection ee.ImageCollection('ECMWF/CAMS/NRT') European Centre for Medium-Range Weather Forecasts (ECMWF) 2016-06-22 2024-12-03 -180, -90, 180, 90 False aerosol, atmosphere, climate, copernicus, ecmwf, forecast, particulate_matter https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_CAMS_NRT.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_CAMS_NRT proprietary ECMWF/ERA5/DAILY ERA5 Daily Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service image_collection ee.ImageCollection('ECMWF/ERA5/DAILY') ECMWF / Copernicus Climate Change Service 1979-01-02 2020-07-09 -180, -90, 180, 90 False climate, copernicus, dewpoint, ecmwf, era5, precipitation, pressure, reanalysis, surface, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_DAILY.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_DAILY proprietary ECMWF/ERA5/MONTHLY ERA5 Monthly Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service image_collection ee.ImageCollection('ECMWF/ERA5/MONTHLY') ECMWF / Copernicus Climate Change Service 1979-01-01 2020-06-01 -180, -90, 180, 90 False climate, copernicus, dewpoint, ecmwf, era5, precipitation, pressure, reanalysis, surface, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_MONTHLY.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_MONTHLY proprietary -ECMWF/ERA5_LAND/DAILY_AGGR ERA5-Land Daily Aggregated - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/DAILY_AGGR') Daily Aggregates: Google and Copernicus Climate Data Store 1950-01-02 2024-12-09 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_DAILY_AGGR.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR proprietary -ECMWF/ERA5_LAND/HOURLY ERA5-Land Hourly - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/HOURLY') Copernicus Climate Data Store 1950-01-01 2024-12-10 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_HOURLY.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_HOURLY proprietary +ECMWF/ERA5_LAND/DAILY_AGGR ERA5-Land Daily Aggregated - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/DAILY_AGGR') Daily Aggregates: Google and Copernicus Climate Data Store 1950-01-02 2024-12-10 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_DAILY_AGGR.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR proprietary +ECMWF/ERA5_LAND/HOURLY ERA5-Land Hourly - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/HOURLY') Copernicus Climate Data Store 1950-01-01 2024-12-11 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_HOURLY.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_HOURLY proprietary ECMWF/ERA5_LAND/MONTHLY ERA5-Land Monthly Averaged - ECMWF Climate Reanalysis [deprecated] image_collection ee.ImageCollection('ECMWF/ERA5_LAND/MONTHLY') Copernicus Climate Data Store 1950-02-01 2023-04-01 -180, -90, 180, 90 True cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_MONTHLY.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY proprietary ECMWF/ERA5_LAND/MONTHLY_AGGR ERA5-Land Monthly Aggregated - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/MONTHLY_AGGR') Monthly Aggregates: Google and Copernicus Climate Data Store 1950-02-01 2024-11-01 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_MONTHLY_AGGR.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_AGGR proprietary ECMWF/ERA5_LAND/MONTHLY_BY_HOUR ERA5-Land Monthly Averaged by Hour of Day - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/MONTHLY_BY_HOUR') Climate Data Store 1950-01-01 2024-11-01 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR proprietary @@ -132,7 +132,7 @@ FAO/WAPOR/2/L1_NPP_D WAPOR Dekadal Net Primary Production 2.0 image_collection e FAO/WAPOR/2/L1_RET_D WAPOR Dekadal Reference Evapotranspiration 2.0 image_collection ee.ImageCollection('FAO/WAPOR/2/L1_RET_D') FAO UN 2009-01-01 2023-03-11 -30.15, -39.9953437, 65.13, 40.0044643 False agriculture, fao, wapor, water https://storage.googleapis.com/earthengine-stac/catalog/FAO/FAO_WAPOR_2_L1_RET_D.json https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_RET_D proprietary FAO/WAPOR/2/L1_RET_E WAPOR Daily Reference Evapotranspiration 2.0 image_collection ee.ImageCollection('FAO/WAPOR/2/L1_RET_E') FAO UN 2009-01-01 2023-03-20 -30.15, -39.9953437, 65.13, 40.0044643 False agriculture, fao, wapor, water https://storage.googleapis.com/earthengine-stac/catalog/FAO/FAO_WAPOR_2_L1_RET_E.json https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_RET_E proprietary FAO/WAPOR/2/L1_T_D WAPOR Dekadal Transpiration 2.0 image_collection ee.ImageCollection('FAO/WAPOR/2/L1_T_D') FAO UN 2009-01-01 2023-03-01 -30.0044643, -40.0044644, 65.0044644, 40.0044643 False agriculture, fao, wapor, water https://storage.googleapis.com/earthengine-stac/catalog/FAO/FAO_WAPOR_2_L1_T_D.json https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_T_D proprietary -FIRMS FIRMS: Fire Information for Resource Management System image_collection ee.ImageCollection('FIRMS') NASA / LANCE / EOSDIS 2000-11-01 2024-12-15 -180, -90, 180, 90 False eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal https://storage.googleapis.com/earthengine-stac/catalog/FIRMS/FIRMS.json https://developers.google.com/earth-engine/datasets/catalog/FIRMS proprietary +FIRMS FIRMS: Fire Information for Resource Management System image_collection ee.ImageCollection('FIRMS') NASA / LANCE / EOSDIS 2000-11-01 2024-12-16 -180, -90, 180, 90 False eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal https://storage.googleapis.com/earthengine-stac/catalog/FIRMS/FIRMS.json https://developers.google.com/earth-engine/datasets/catalog/FIRMS proprietary FORMA/FORMA_500m FORMA Global Forest Watch Deforestation Alerts, 500m [deprecated] image ee.Image('FORMA/FORMA_500m') Global Forest Watch, World Resources Institute 2006-01-01 2015-06-10 -180, -90, 180, 90 True alerts, deforestation, forest, forma, geophysical, gfw, modis, nasa, wri https://storage.googleapis.com/earthengine-stac/catalog/FORMA/FORMA_FORMA_500m.json https://developers.google.com/earth-engine/datasets/catalog/FORMA_FORMA_500m proprietary Finland/MAVI/VV/50cm Finland NRG NLS orthophotos 50 cm by Mavi image_collection ee.ImageCollection('Finland/MAVI/VV/50cm') NLS orthophotos 2015-01-01 2018-01-01 18, 59, 29.2, 69.4 False falsecolor, finland, mavi, nrg, orthophoto https://storage.googleapis.com/earthengine-stac/catalog/Finland/Finland_MAVI_VV_50cm.json https://developers.google.com/earth-engine/datasets/catalog/Finland_MAVI_VV_50cm CC-BY-4.0 Finland/SMK/V/50cm Finland RGB NLS orthophotos 50 cm by SMK image_collection ee.ImageCollection('Finland/SMK/V/50cm') NLS orthophotos 2015-01-01 2023-01-01 18, 59, 29.2, 69.4 False finland, orthophoto, rgb, smk https://storage.googleapis.com/earthengine-stac/catalog/Finland/Finland_SMK_V_50cm.json https://developers.google.com/earth-engine/datasets/catalog/Finland_SMK_V_50cm proprietary @@ -148,8 +148,8 @@ GLIMS/20230607 GLIMS 2023: Global Land Ice Measurements From Space table ee.Feat GLIMS/current GLIMS Current: Global Land Ice Measurements From Space table ee.FeatureCollection('GLIMS/current') National Snow and Ice Data Center (NSDIC) 1750-01-01 2023-06-07 -180, -90, 180, 90 False glacier, glims, ice, landcover, nasa, nsidc, snow https://storage.googleapis.com/earthengine-stac/catalog/GLIMS/GLIMS_current.json https://developers.google.com/earth-engine/datasets/catalog/GLIMS_current proprietary GLOBAL_FLOOD_DB/MODIS_EVENTS/V1 Global Flood Database v1 (2000-2018) image_collection ee.ImageCollection('GLOBAL_FLOOD_DB/MODIS_EVENTS/V1') Cloud to Street (C2S) / Dartmouth Flood Observatory (DFO) 2000-02-17 2018-12-10 -180, -90, 180, 90 False c2s, cloudtostreet, dartmouth, dfo, flood, gfd, inundation, surface, water https://storage.googleapis.com/earthengine-stac/catalog/GLOBAL_FLOOD_DB/GLOBAL_FLOOD_DB_MODIS_EVENTS_V1.json https://developers.google.com/earth-engine/datasets/catalog/GLOBAL_FLOOD_DB_MODIS_EVENTS_V1 CC-BY-NC-4.0 GOOGLE/AirView/California_Unified_2015_2019 Google Street View Air Quality: High Resolution Air Pollution Mapping in California table ee.FeatureCollection('GOOGLE/AirView/California_Unified_2015_2019') Google / Aclima 2015-05-28 2019-06-07 -180, -90, 180, 90 False air_quality, nitrogen_dioxide, pollution https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_AirView_California_Unified_2015_2019.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_AirView_California_Unified_2015_2019 CC-BY-NC-4.0 -GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED Cloud Score+ S2_HARMONIZED V1 image_collection ee.ImageCollection('GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED') Google Earth Engine 2015-06-27 2024-12-16 -180, -90, 180, 90 False google, cloud, sentinel2_derived https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED CC-BY-4.0 -GOOGLE/DYNAMICWORLD/V1 Dynamic World V1 image_collection ee.ImageCollection('GOOGLE/DYNAMICWORLD/V1') World Resources Institute 2015-06-27 2024-12-16 -180, -90, 180, 90 False global, google, landcover, landuse, nrt, sentinel2_derived https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_DYNAMICWORLD_V1.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1 CC-BY-4.0 +GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED Cloud Score+ S2_HARMONIZED V1 image_collection ee.ImageCollection('GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED') Google Earth Engine 2015-06-27 2024-12-17 -180, -90, 180, 90 False google, cloud, sentinel2_derived https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED CC-BY-4.0 +GOOGLE/DYNAMICWORLD/V1 Dynamic World V1 image_collection ee.ImageCollection('GOOGLE/DYNAMICWORLD/V1') World Resources Institute 2015-06-27 2024-12-17 -180, -90, 180, 90 False global, google, landcover, landuse, nrt, sentinel2_derived https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_DYNAMICWORLD_V1.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1 CC-BY-4.0 GOOGLE/GLOBAL_CCDC/V1 Google Global Landsat-based CCDC Segments (1999-2019) image_collection ee.ImageCollection('GOOGLE/GLOBAL_CCDC/V1') Google 1999-01-01 2020-01-01 -180, -60, 180, 72 False change_detection, google, landcover, landsat_derived, landuse https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_GLOBAL_CCDC_V1.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_GLOBAL_CCDC_V1 CC-BY-4.0 GOOGLE/Research/open-buildings-temporal/v1 Open Buildings Temporal V1 image_collection ee.ImageCollection('GOOGLE/Research/open-buildings-temporal/v1') Google Research - Open Buildings 2016-06-30 2023-06-30 -180, -90, 180, 90 False building_height, height, annual, built_up, open_buildings, africa, asia, south_asia, southeast_asia, high_resolution https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_Research_open-buildings-temporal_v1.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings-temporal_v1 CC-BY-4.0 GOOGLE/Research/open-buildings/v1/polygons Open Buildings V1 Polygons [deprecated] table ee.FeatureCollection('GOOGLE/Research/open-buildings/v1/polygons') Google Research - Open Buildings 2021-04-30 2021-04-30 -180, -90, 180, 90 True africa, building, built_up, open_buildings, structure https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_Research_open-buildings_v1_polygons.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings_v1_polygons CC-BY-4.0 @@ -165,7 +165,7 @@ HYCOM/GLBu0_08/sea_water_velocity HYCOM: Hybrid Coordinate Ocean Model, Water Ve HYCOM/sea_surface_elevation HYCOM: Hybrid Coordinate Ocean Model, Sea Surface Elevation image_collection ee.ImageCollection('HYCOM/sea_surface_elevation') NOPP 1992-10-02 2024-09-05 -180, -80.48, 180, 80.48 False elevation, hycom, nopp, ocean, ssh, water https://storage.googleapis.com/earthengine-stac/catalog/HYCOM/HYCOM_sea_surface_elevation.json https://developers.google.com/earth-engine/datasets/catalog/HYCOM_sea_surface_elevation proprietary HYCOM/sea_temp_salinity HYCOM: Hybrid Coordinate Ocean Model, Water Temperature and Salinity image_collection ee.ImageCollection('HYCOM/sea_temp_salinity') NOPP 1992-10-02 2024-09-05 -180, -80.48, 180, 80.48 False hycom, nopp, ocean, salinity, sst, water, water_temp https://storage.googleapis.com/earthengine-stac/catalog/HYCOM/HYCOM_sea_temp_salinity.json https://developers.google.com/earth-engine/datasets/catalog/HYCOM_sea_temp_salinity proprietary HYCOM/sea_water_velocity HYCOM: Hybrid Coordinate Ocean Model, Water Velocity image_collection ee.ImageCollection('HYCOM/sea_water_velocity') NOPP 1992-10-02 2024-09-05 -180, -80.48, 180, 80.48 False hycom, nopp, ocean, velocity, water https://storage.googleapis.com/earthengine-stac/catalog/HYCOM/HYCOM_sea_water_velocity.json https://developers.google.com/earth-engine/datasets/catalog/HYCOM_sea_water_velocity proprietary -IDAHO_EPSCOR/GRIDMET GRIDMET: University of Idaho Gridded Surface Meteorological Dataset image_collection ee.ImageCollection('IDAHO_EPSCOR/GRIDMET') University of California Merced 1979-01-01 2024-12-14 -124.9, 24.9, -66.8, 49.6 False climate, fireburning, gridmet, humidity, merced, metdata, nfdrs, precipitation, radiation, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/IDAHO_EPSCOR/IDAHO_EPSCOR_GRIDMET.json https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_GRIDMET proprietary +IDAHO_EPSCOR/GRIDMET GRIDMET: University of Idaho Gridded Surface Meteorological Dataset image_collection ee.ImageCollection('IDAHO_EPSCOR/GRIDMET') University of California Merced 1979-01-01 2024-12-15 -124.9, 24.9, -66.8, 49.6 False climate, fireburning, gridmet, humidity, merced, metdata, nfdrs, precipitation, radiation, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/IDAHO_EPSCOR/IDAHO_EPSCOR_GRIDMET.json https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_GRIDMET proprietary IDAHO_EPSCOR/MACAv2_METDATA MACAv2-METDATA: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models image_collection ee.ImageCollection('IDAHO_EPSCOR/MACAv2_METDATA') University of California Merced 1900-01-01 2100-12-31 -124.9, 24.9, -67, 49.6 False climate, conus, geophysical, idaho, maca, monthly https://storage.googleapis.com/earthengine-stac/catalog/IDAHO_EPSCOR/IDAHO_EPSCOR_MACAv2_METDATA.json https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_MACAv2_METDATA CC0-1.0 IDAHO_EPSCOR/MACAv2_METDATA_MONTHLY MACAv2-METDATA Monthly Summaries: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models image_collection ee.ImageCollection('IDAHO_EPSCOR/MACAv2_METDATA_MONTHLY') University of California Merced 1900-01-01 2099-12-31 -124.9, 24.9, -67, 49.6 False climate, conus, geophysical, idaho, maca, monthly https://storage.googleapis.com/earthengine-stac/catalog/IDAHO_EPSCOR/IDAHO_EPSCOR_MACAv2_METDATA_MONTHLY.json https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_MACAv2_METDATA_MONTHLY CC0-1.0 IDAHO_EPSCOR/PDSI PDSI: University of Idaho Palmer Drought Severity Index [deprecated] image_collection ee.ImageCollection('IDAHO_EPSCOR/PDSI') University of California Merced 1979-03-01 2020-06-20 -124.9, 24.9, -66.8, 49.6 True climate, conus, crop, drought, geophysical, merced, palmer, pdsi https://storage.googleapis.com/earthengine-stac/catalog/IDAHO_EPSCOR/IDAHO_EPSCOR_PDSI.json https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_PDSI proprietary @@ -207,20 +207,20 @@ JAXA/ALOS/PALSAR/YEARLY/SAR Global PALSAR-2/PALSAR Yearly Mosaic, version 1 imag JAXA/ALOS/PALSAR/YEARLY/SAR_EPOCH Global PALSAR-2/PALSAR Yearly Mosaic, version 2 image_collection ee.ImageCollection('JAXA/ALOS/PALSAR/YEARLY/SAR_EPOCH') JAXA EORC 2015-01-01 2023-01-01 -180, -90, 180, 90 False alos, alos2, eroc, jaxa, palsar, palsar2, sar https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_ALOS_PALSAR_YEARLY_SAR_EPOCH.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR_YEARLY_SAR_EPOCH proprietary JAXA/GCOM-C/L3/LAND/LAI/V1 GCOM-C/SGLI L3 Leaf Area Index (V1) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V1') Global Change Observation Mission (GCOM) 2018-01-01 2020-06-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V1.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V1 proprietary JAXA/GCOM-C/L3/LAND/LAI/V2 GCOM-C/SGLI L3 Leaf Area Index (V2) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V2') Global Change Observation Mission (GCOM) 2018-01-01 2021-11-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V2.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V2 proprietary -JAXA/GCOM-C/L3/LAND/LAI/V3 GCOM-C/SGLI L3 Leaf Area Index (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-14 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V3 proprietary +JAXA/GCOM-C/L3/LAND/LAI/V3 GCOM-C/SGLI L3 Leaf Area Index (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-15 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V3 proprietary JAXA/GCOM-C/L3/LAND/LST/V1 GCOM-C/SGLI L3 Land Surface Temperature (V1) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V1') Global Change Observation Mission (GCOM) 2018-01-01 2020-06-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LST_V1.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V1 proprietary JAXA/GCOM-C/L3/LAND/LST/V2 GCOM-C/SGLI L3 Land Surface Temperature (V2) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V2') Global Change Observation Mission (GCOM) 2018-01-01 2021-11-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LST_V2.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V2 proprietary -JAXA/GCOM-C/L3/LAND/LST/V3 GCOM-C/SGLI L3 Land Surface Temperature (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-14 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LST_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V3 proprietary +JAXA/GCOM-C/L3/LAND/LST/V3 GCOM-C/SGLI L3 Land Surface Temperature (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-15 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LST_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V3 proprietary JAXA/GCOM-C/L3/OCEAN/CHLA/V1 GCOM-C/SGLI L3 Chlorophyll-a Concentration (V1) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V1') Global Change Observation Mission (GCOM) 2018-01-01 2020-06-28 -180, -90, 180, 90 False chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V1.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V1 proprietary JAXA/GCOM-C/L3/OCEAN/CHLA/V2 GCOM-C/SGLI L3 Chlorophyll-a Concentration (V2) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V2') Global Change Observation Mission (GCOM) 2018-01-01 2021-11-28 -180, -90, 180, 90 False chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V2.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V2 proprietary -JAXA/GCOM-C/L3/OCEAN/CHLA/V3 GCOM-C/SGLI L3 Chlorophyll-a Concentration (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-14 -180, -90, 180, 90 False chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V3 proprietary +JAXA/GCOM-C/L3/OCEAN/CHLA/V3 GCOM-C/SGLI L3 Chlorophyll-a Concentration (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-15 -180, -90, 180, 90 False chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V3 proprietary JAXA/GCOM-C/L3/OCEAN/SST/V1 GCOM-C/SGLI L3 Sea Surface Temperature (V1) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V1') Global Change Observation Mission (GCOM) 2018-01-01 2020-06-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V1.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V1 proprietary JAXA/GCOM-C/L3/OCEAN/SST/V2 GCOM-C/SGLI L3 Sea Surface Temperature (V2) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V2') Global Change Observation Mission (GCOM) 2018-01-01 2021-11-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V2.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V2 proprietary -JAXA/GCOM-C/L3/OCEAN/SST/V3 GCOM-C/SGLI L3 Sea Surface Temperature (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V3') Global Change Observation Mission (GCOM) 2018-01-22 2024-12-14 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V3 proprietary -JAXA/GPM_L3/GSMaP/v6/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V6 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v6/operational') JAXA Earth Observation Research Center 2014-03-01 2024-12-16 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v6_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v6_operational proprietary +JAXA/GCOM-C/L3/OCEAN/SST/V3 GCOM-C/SGLI L3 Sea Surface Temperature (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V3') Global Change Observation Mission (GCOM) 2018-01-22 2024-12-15 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V3 proprietary +JAXA/GPM_L3/GSMaP/v6/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V6 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v6/operational') JAXA Earth Observation Research Center 2014-03-01 2024-12-17 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v6_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v6_operational proprietary JAXA/GPM_L3/GSMaP/v6/reanalysis GSMaP Reanalysis: Global Satellite Mapping of Precipitation image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v6/reanalysis') JAXA Earth Observation Research Center 2000-03-01 2014-03-12 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v6_reanalysis.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v6_reanalysis proprietary -JAXA/GPM_L3/GSMaP/v7/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V7 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v7/operational') JAXA Earth Observation Research Center 2014-03-01 2024-12-16 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v7_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v7_operational proprietary -JAXA/GPM_L3/GSMaP/v8/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V8 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v8/operational') JAXA Earth Observation Research Center 1998-01-01 2024-12-16 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v8_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v8_operational proprietary +JAXA/GPM_L3/GSMaP/v7/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V7 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v7/operational') JAXA Earth Observation Research Center 2014-03-01 2024-12-17 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v7_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v7_operational proprietary +JAXA/GPM_L3/GSMaP/v8/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V8 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v8/operational') JAXA Earth Observation Research Center 1998-01-01 2024-12-17 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v8_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v8_operational proprietary JCU/Murray/GIC/global_tidal_wetland_change/2019 Murray Global Tidal Wetland Change v1.0 (1999-2019) image ee.Image('JCU/Murray/GIC/global_tidal_wetland_change/2019') Murray/JCU 1999-01-01 2019-12-31 -180, -90, 180, 90 False coastal, ecosystem, intertidal, landsat_derived, mangrove, murray, saltmarsh, tidal_flat, tidal_marsh https://storage.googleapis.com/earthengine-stac/catalog/JCU/JCU_Murray_GIC_global_tidal_wetland_change_2019.json https://developers.google.com/earth-engine/datasets/catalog/JCU_Murray_GIC_global_tidal_wetland_change_2019 CC-BY-4.0 JRC/CEMS_GLOFAS/FloodHazard/v1 JRC Global River Flood Hazard Maps Version 1 image_collection ee.ImageCollection('JRC/CEMS_GLOFAS/FloodHazard/v1') Joint Research Centre 2024-03-16 2024-03-16 -180, -90, 180, 90 False flood, monitoring, wri https://storage.googleapis.com/earthengine-stac/catalog/JRC/JRC_CEMS_GLOFAS_FloodHazard_v1.json https://developers.google.com/earth-engine/datasets/catalog/JRC_CEMS_GLOFAS_FloodHazard_v1 CC-BY-4.0 JRC/D5/EUCROPMAP/V1 EUCROPMAP image_collection ee.ImageCollection('JRC/D5/EUCROPMAP/V1') Joint Research Center (JRC) 2018-01-01 2022-01-01 -16.171875, 34.313433, 36.386719, 72.182526 False crop, eu, jrc, lucas, sentinel1_derived https://storage.googleapis.com/earthengine-stac/catalog/JRC/JRC_D5_EUCROPMAP_V1.json https://developers.google.com/earth-engine/datasets/catalog/JRC_D5_EUCROPMAP_V1 CC-BY-4.0 @@ -305,18 +305,18 @@ LANDSAT/GLS2005_L5 Landsat Global Land Survey 2005, Landsat 5 scenes image_colle LANDSAT/GLS2005_L7 Landsat Global Land Survey 2005, Landsat 7 scenes image_collection ee.ImageCollection('LANDSAT/GLS2005_L7') USGS 2003-07-29 2008-07-29 -180, -90, 180, 90 False etm, gls, l7, landsat, radiance, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_GLS2005_L7.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_GLS2005_L7 PDDL-1.0 LANDSAT/LC08/C02/T1 USGS Landsat 8 Collection 2 Tier 1 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1') USGS 2013-03-18 2024-12-15 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, oli_tirs, radiance, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1 PDDL-1.0 LANDSAT/LC08/C02/T1_L2 USGS Landsat 8 Level 2, Collection 2, Tier 1 image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_L2') USGS 2013-03-18 2024-12-08 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l8sr, landsat, lasrc, lc08, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_L2 proprietary -LANDSAT/LC08/C02/T1_RT USGS Landsat 8 Collection 2 Tier 1 and Real-Time data Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_RT') USGS 2013-03-18 2024-12-16 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, nrt, oli_tirs, radiance, rt, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_RT.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_RT PDDL-1.0 -LANDSAT/LC08/C02/T1_RT_TOA USGS Landsat 8 Collection 2 Tier 1 and Real-Time data TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_RT_TOA') USGS/Google 2013-03-18 2024-12-16 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_RT_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_RT_TOA PDDL-1.0 +LANDSAT/LC08/C02/T1_RT USGS Landsat 8 Collection 2 Tier 1 and Real-Time data Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_RT') USGS 2013-03-18 2024-12-17 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, nrt, oli_tirs, radiance, rt, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_RT.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_RT PDDL-1.0 +LANDSAT/LC08/C02/T1_RT_TOA USGS Landsat 8 Collection 2 Tier 1 and Real-Time data TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_RT_TOA') USGS/Google 2013-03-18 2024-12-17 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_RT_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_RT_TOA PDDL-1.0 LANDSAT/LC08/C02/T1_TOA USGS Landsat 8 Collection 2 Tier 1 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA') USGS/Google 2013-03-18 2024-12-15 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_TOA PDDL-1.0 LANDSAT/LC08/C02/T2 USGS Landsat 8 Collection 2 Tier 2 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC08/C02/T2') USGS 2021-10-28 2024-12-15 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, oli_tirs, radiance, t2, tier2, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2 PDDL-1.0 LANDSAT/LC08/C02/T2_L2 USGS Landsat 8 Level 2, Collection 2, Tier 2 image_collection ee.ImageCollection('LANDSAT/LC08/C02/T2_L2') USGS 2013-03-18 2024-12-08 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l8sr, landsat, lasrc, lc08, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T2_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2_L2 proprietary -LANDSAT/LC08/C02/T2_TOA USGS Landsat 8 Collection 2 Tier 2 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC08/C02/T2_TOA') USGS/Google 2021-10-28 2024-12-08 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T2_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2_TOA PDDL-1.0 -LANDSAT/LC09/C02/T1 USGS Landsat 9 Collection 2 Tier 1 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1') USGS 2021-10-31 2024-12-16 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, oli_tirs, radiance, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1 PDDL-1.0 -LANDSAT/LC09/C02/T1_L2 USGS Landsat 9 Level 2, Collection 2, Tier 1 image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1_L2') USGS 2021-10-31 2024-12-14 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_L2 proprietary -LANDSAT/LC09/C02/T1_TOA USGS Landsat 9 Collection 2 Tier 1 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1_TOA') USGS/Google 2021-10-31 2024-12-16 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_TOA PDDL-1.0 +LANDSAT/LC08/C02/T2_TOA USGS Landsat 8 Collection 2 Tier 2 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC08/C02/T2_TOA') USGS/Google 2021-10-28 2024-12-15 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T2_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2_TOA PDDL-1.0 +LANDSAT/LC09/C02/T1 USGS Landsat 9 Collection 2 Tier 1 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1') USGS 2021-10-31 2024-12-17 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, oli_tirs, radiance, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1 PDDL-1.0 +LANDSAT/LC09/C02/T1_L2 USGS Landsat 9 Level 2, Collection 2, Tier 1 image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1_L2') USGS 2021-10-31 2024-12-15 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_L2 proprietary +LANDSAT/LC09/C02/T1_TOA USGS Landsat 9 Collection 2 Tier 1 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1_TOA') USGS/Google 2021-10-31 2024-12-17 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_TOA PDDL-1.0 LANDSAT/LC09/C02/T2 USGS Landsat 9 Collection 2 Tier 2 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC09/C02/T2') USGS 2021-11-02 2024-12-16 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, oli_tirs, radiance, t2, tier2, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2 PDDL-1.0 LANDSAT/LC09/C02/T2_L2 USGS Landsat 9 Level 2, Collection 2, Tier 2 image_collection ee.ImageCollection('LANDSAT/LC09/C02/T2_L2') USGS 2021-10-31 2024-12-14 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T2_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2_L2 proprietary -LANDSAT/LC09/C02/T2_TOA USGS Landsat 9 Collection 2 Tier 2 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC09/C02/T2_TOA') USGS/Google 2021-11-02 2024-12-15 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T2_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2_TOA PDDL-1.0 +LANDSAT/LC09/C02/T2_TOA USGS Landsat 9 Collection 2 Tier 2 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC09/C02/T2_TOA') USGS/Google 2021-11-02 2024-12-16 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T2_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2_TOA PDDL-1.0 LANDSAT/LE07/C02/T1 USGS Landsat 7 Collection 2 Tier 1 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LE07/C02/T1') USGS 1999-05-28 2024-01-19 -180, -90, 180, 90 False c2, etm, global, l7, landsat, le7, radiance, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T1.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1 PDDL-1.0 LANDSAT/LE07/C02/T1_L2 USGS Landsat 7 Level 2, Collection 2, Tier 1 image_collection ee.ImageCollection('LANDSAT/LE07/C02/T1_L2') USGS 1999-05-28 2024-01-19 -180, -90, 180, 90 False cfmask, cloud, etm, fmask, global, landsat, lasrc, le07, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T1_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_L2 proprietary LANDSAT/LE07/C02/T1_RT USGS Landsat 7 Collection 2 Tier 1 and Real-Time data Raw Scenes image_collection ee.ImageCollection('LANDSAT/LE07/C02/T1_RT') USGS 1999-05-28 2024-01-19 -180, -90, 180, 90 False c2, etm, global, l7, landsat, le7, nrt, radiance, rt, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T1_RT.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_RT PDDL-1.0 @@ -427,20 +427,20 @@ MODIS/061/MCD18A1 MCD18A1.061 Surface Radiation Daily/3-Hour image_collection ee MODIS/061/MCD18C2 MCD18C2.061 Photosynthetically Active Radiation Daily 3-Hour image_collection ee.ImageCollection('MODIS/061/MCD18C2') NASA LP DAAC at the USGS EROS Center 2002-02-24 2024-06-01 -180, -90, 180, 90 False par, radiation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD18C2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD18C2 proprietary MODIS/061/MCD19A1_GRANULES MCD19A1.061: Land Surface BRF Daily L2G Global 500m and 1km image_collection ee.ImageCollection('MODIS/061/MCD19A1_GRANULES') NASA LP DAAC at the USGS EROS Center 2000-12-21 2024-12-11 -180, -90, 180, 90 False aerosol, aod, aqua, daily, global, maiac, modis, nasa, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD19A1_GRANULES.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A1_GRANULES proprietary MODIS/061/MCD19A2_GRANULES MCD19A2.061: Terra & Aqua MAIAC Land Aerosol Optical Depth Daily 1km image_collection ee.ImageCollection('MODIS/061/MCD19A2_GRANULES') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-11 -180, -90, 180, 90 False aerosol, aod, aqua, daily, global, maiac, mcd19a2, modis, nasa, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD19A2_GRANULES.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A2_GRANULES proprietary -MODIS/061/MCD43A1 MCD43A1.061 MODIS BRDF-Albedo Model Parameters Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-04 -180, -90, 180, 90 False albedo, brdf, daily, global, mcd43a1, modis, nasa, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A1 proprietary -MODIS/061/MCD43A2 MCD43A2.061 MODIS BRDF-Albedo Quality Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A2') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-04 -180, -90, 180, 90 False albedo, brdf, daily, global, modis, nasa, quality, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A2 proprietary -MODIS/061/MCD43A3 MCD43A3.061 MODIS Albedo Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-04 -180, -90, 180, 90 False albedo, black_sky, daily, global, modis, nasa, usgs, white_sky https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A3 proprietary -MODIS/061/MCD43A4 MCD43A4.061 MODIS Nadir BRDF-Adjusted Reflectance Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A4') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-04 -180, -90, 180, 90 False albedo, brdf, daily, global, modis, nasa, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A4.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A4 proprietary -MODIS/061/MCD43C3 MCD43C3.061 BRDF/Albedo Daily L3 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MCD43C3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-04 -180, -90, 180, 90 False albedo, black_sky, brdf, daily, global, modis, nasa, usgs, white_sky https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43C3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43C3 proprietary +MODIS/061/MCD43A1 MCD43A1.061 MODIS BRDF-Albedo Model Parameters Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-08 -180, -90, 180, 90 False albedo, brdf, daily, global, mcd43a1, modis, nasa, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A1 proprietary +MODIS/061/MCD43A2 MCD43A2.061 MODIS BRDF-Albedo Quality Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A2') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-08 -180, -90, 180, 90 False albedo, brdf, daily, global, modis, nasa, quality, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A2 proprietary +MODIS/061/MCD43A3 MCD43A3.061 MODIS Albedo Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-08 -180, -90, 180, 90 False albedo, black_sky, daily, global, modis, nasa, usgs, white_sky https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A3 proprietary +MODIS/061/MCD43A4 MCD43A4.061 MODIS Nadir BRDF-Adjusted Reflectance Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A4') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-08 -180, -90, 180, 90 False albedo, brdf, daily, global, modis, nasa, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A4.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A4 proprietary +MODIS/061/MCD43C3 MCD43C3.061 BRDF/Albedo Daily L3 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MCD43C3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-08 -180, -90, 180, 90 False albedo, black_sky, brdf, daily, global, modis, nasa, usgs, white_sky https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43C3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43C3 proprietary MODIS/061/MCD64A1 MCD64A1.061 MODIS Burned Area Monthly Global 500m image_collection ee.ImageCollection('MODIS/061/MCD64A1') NASA LP DAAC at the USGS EROS Center 2000-11-01 2024-10-01 -180, -90, 180, 90 False burn, change_detection, fire, geophysical, global, mcd64a1, modis, monthly, nasa, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD64A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD64A1 proprietary MODIS/061/MOD08_M3 MOD08_M3.061 Terra Atmosphere Monthly Global Product image_collection ee.ImageCollection('MODIS/061/MOD08_M3') NASA LAADS DAAC at NASA Goddard Space Flight Center 2000-02-01 2024-11-01 -180, -90, 180, 90 False atmosphere, geophysical, global, mod08, mod08_m3, modis, monthly, nasa, temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD08_M3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD08_M3 proprietary MODIS/061/MOD09A1 MOD09A1.061 Terra Surface Reflectance 8-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MOD09A1') NASA LP DAAC at the USGS EROS Center 2000-02-18 2024-12-02 -180, -90, 180, 90 False 8_day, global, mod09a1, modis, nasa, sr, surface_reflectance, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09A1 proprietary -MODIS/061/MOD09CMG MOD09CMG.061 Terra Surface Reflectance Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD09CMG') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-14 -180, -90, 180, 90 False brightness_temperature, ozone, surface_reflectance, terra https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09CMG.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09CMG proprietary +MODIS/061/MOD09CMG MOD09CMG.061 Terra Surface Reflectance Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD09CMG') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-15 -180, -90, 180, 90 False brightness_temperature, ozone, surface_reflectance, terra https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09CMG.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09CMG proprietary MODIS/061/MOD09GA MOD09GA.061 Terra Surface Reflectance Daily Global 1km and 500m image_collection ee.ImageCollection('MODIS/061/MOD09GA') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-14 -180, -90, 180, 90 False daily, global, mod09ga, modis, nasa, sr, surface_reflectance, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09GA.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09GA proprietary MODIS/061/MOD09GQ MOD09GQ.061 Terra Surface Reflectance Daily Global 250m image_collection ee.ImageCollection('MODIS/061/MOD09GQ') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-14 -180, -90, 180, 90 False daily, global, mod09gq, modis, nasa, sr, surface_reflectance, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09GQ.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09GQ proprietary MODIS/061/MOD09Q1 MOD09Q1.061 Terra Surface Reflectance 8-Day Global 250m image_collection ee.ImageCollection('MODIS/061/MOD09Q1') NASA LP DAAC at the USGS EROS Center 2000-02-18 2024-12-02 -180, -90, 180, 90 False 8_day, global, mod09q1, modis, nasa, sr, surface_reflectance, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09Q1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09Q1 proprietary -MODIS/061/MOD10A1 MOD10A1.061 Terra Snow Cover Daily Global 500m image_collection ee.ImageCollection('MODIS/061/MOD10A1') NASA NSIDC DAAC at CIRES 2000-02-24 2024-12-14 -180, -90, 180, 90 False albedo, daily, geophysical, global, mod10a1, modis, nasa, nsidc, snow, terra https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD10A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD10A1 proprietary -MODIS/061/MOD11A1 MOD11A1.061 Terra Land Surface Temperature and Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MOD11A1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-11 -180, -90, 180, 90 False daily, emissivity, global, lst, mod11a1, modis, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD11A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A1 proprietary +MODIS/061/MOD10A1 MOD10A1.061 Terra Snow Cover Daily Global 500m image_collection ee.ImageCollection('MODIS/061/MOD10A1') NASA NSIDC DAAC at CIRES 2000-02-24 2024-12-15 -180, -90, 180, 90 False albedo, daily, geophysical, global, mod10a1, modis, nasa, nsidc, snow, terra https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD10A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD10A1 proprietary +MODIS/061/MOD11A1 MOD11A1.061 Terra Land Surface Temperature and Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MOD11A1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-15 -180, -90, 180, 90 False daily, emissivity, global, lst, mod11a1, modis, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD11A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A1 proprietary MODIS/061/MOD11A2 MOD11A2.061 Terra Land Surface Temperature and Emissivity 8-Day Global 1km image_collection ee.ImageCollection('MODIS/061/MOD11A2') NASA LP DAAC at the USGS EROS Center 2000-02-18 2024-12-02 -180, -90, 180, 90 False 8_day, emissivity, global, lst, mod11a2, modis, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD11A2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A2 proprietary MODIS/061/MOD13A1 MOD13A1.061 Terra Vegetation Indices 16-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MOD13A1') NASA LP DAAC at the USGS EROS Center 2000-02-18 2024-11-16 -180, -90, 180, 90 False 16_day, evi, global, mod13a1, modis, nasa, ndvi, terra, usgs, vegetation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD13A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A1 proprietary MODIS/061/MOD13A2 MOD13A2.061 Terra Vegetation Indices 16-Day Global 1km image_collection ee.ImageCollection('MODIS/061/MOD13A2') NASA LP DAAC at the USGS EROS Center 2000-02-18 2024-11-16 -180, -90, 180, 90 False 16_day, evi, global, mod13a2, modis, nasa, ndvi, terra, usgs, vegetation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD13A2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A2 proprietary @@ -455,19 +455,19 @@ MODIS/061/MOD16A2GF MOD16A2GF.061: Terra Net Evapotranspiration Gap-Filled 8-Day MODIS/061/MOD17A2H MOD17A2H.061: Terra Gross Primary Productivity 8-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MOD17A2H') NASA LP DAAC at the USGS EROS Center 2021-01-01 2024-12-02 -180, -90, 180, 90 False 8_day, global, gpp, mod17a2, modis, nasa, photosynthesis, productivity, psn, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD17A2H.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD17A2H proprietary MODIS/061/MOD17A2HGF MOD17A2HGF.061: Terra Gross Primary Productivity 8-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MOD17A2HGF') NASA LP DAAC at the USGS EROS Center 2021-01-01 2023-12-27 -180, -90, 180, 90 False 8_day, global, gpp, modis, nasa, photosynthesis, productivity, psn, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD17A2HGF.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD17A2HGF proprietary MODIS/061/MOD17A3HGF MOD17A3HGF.061: Terra Net Primary Production Gap-Filled Yearly Global 500m image_collection ee.ImageCollection('MODIS/061/MOD17A3HGF') NASA LP DAAC at the USGS EROS Center 2001-01-01 2023-01-01 -180, -90, 180, 90 False global, gpp, nasa, npp, photosynthesis, productivity, psn, terra, usgs, yearly https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD17A3HGF.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD17A3HGF proprietary -MODIS/061/MOD21A1D MOD21A1D.061 Terra Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MOD21A1D') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-14 -180, -90, 180, 90 False daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21A1D.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21A1D proprietary -MODIS/061/MOD21A1N MOD21A1N.061 Terra Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MOD21A1N') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-15 -180, -90, 180, 90 False daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21A1N.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21A1N proprietary -MODIS/061/MOD21C1 MOD21C1.061 Terra Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD21C1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-15 -180, -90, 180, 90 False daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21C1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C1 proprietary +MODIS/061/MOD21A1D MOD21A1D.061 Terra Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MOD21A1D') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-15 -180, -90, 180, 90 False daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21A1D.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21A1D proprietary +MODIS/061/MOD21A1N MOD21A1N.061 Terra Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MOD21A1N') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-16 -180, -90, 180, 90 False daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21A1N.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21A1N proprietary +MODIS/061/MOD21C1 MOD21C1.061 Terra Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD21C1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-16 -180, -90, 180, 90 False daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21C1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C1 proprietary MODIS/061/MOD21C2 MOD21C2.061 Terra Land Surface Temperature and 3-Band Emissivity 8-Day L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD21C2') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-02 -180, -90, 180, 90 False emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21C2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C2 proprietary MODIS/061/MOD21C3 MOD21C3.061 Terra Land Surface Temperature and 3-Band Emissivity Monthly L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD21C3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-01 -180, -90, 180, 90 False emissivity, global, lst, monthly, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21C3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C3 proprietary MODIS/061/MYD08_M3 MYD08_M3.061 Aqua Atmosphere Monthly Global Product image_collection ee.ImageCollection('MODIS/061/MYD08_M3') NASA LAADS DAAC at NASA Goddard Space Flight Center 2002-07-01 2024-11-01 -180, -90, 180, 90 False aqua, atmosphere, geophysical, global, modis, monthly, myd08, myd08_m3, nasa, temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD08_M3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD08_M3 proprietary MODIS/061/MYD09A1 MYD09A1.061 Aqua Surface Reflectance 8-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MYD09A1') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-02 -180, -90, 180, 90 False 8_day, aqua, global, modis, myd09a1, nasa, sr, surface_reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09A1 proprietary -MODIS/061/MYD09CMG MYD09CMG.061 Aqua Surface Reflectance Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD09CMG') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-14 -180, -90, 180, 90 False brightness_temperature, ozone, surface_reflectance, aqua https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09CMG.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09CMG proprietary -MODIS/061/MYD09GA MYD09GA.061 Aqua Surface Reflectance Daily Global 1km and 500m image_collection ee.ImageCollection('MODIS/061/MYD09GA') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-14 -180, -90, 180, 90 False aqua, daily, global, modis, myd09ga, nasa, sr, surface_reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09GA.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09GA proprietary -MODIS/061/MYD09GQ MYD09GQ.061 Aqua Surface Reflectance Daily Global 250m image_collection ee.ImageCollection('MODIS/061/MYD09GQ') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-14 -180, -90, 180, 90 False aqua, daily, global, modis, myd09gq, nasa, sr, surface_reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09GQ.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09GQ proprietary +MODIS/061/MYD09CMG MYD09CMG.061 Aqua Surface Reflectance Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD09CMG') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-15 -180, -90, 180, 90 False brightness_temperature, ozone, surface_reflectance, aqua https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09CMG.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09CMG proprietary +MODIS/061/MYD09GA MYD09GA.061 Aqua Surface Reflectance Daily Global 1km and 500m image_collection ee.ImageCollection('MODIS/061/MYD09GA') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-15 -180, -90, 180, 90 False aqua, daily, global, modis, myd09ga, nasa, sr, surface_reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09GA.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09GA proprietary +MODIS/061/MYD09GQ MYD09GQ.061 Aqua Surface Reflectance Daily Global 250m image_collection ee.ImageCollection('MODIS/061/MYD09GQ') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-15 -180, -90, 180, 90 False aqua, daily, global, modis, myd09gq, nasa, sr, surface_reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09GQ.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09GQ proprietary MODIS/061/MYD09Q1 MYD09Q1.061 Aqua Surface Reflectance 8-Day Global 250m image_collection ee.ImageCollection('MODIS/061/MYD09Q1') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-02 -180, -90, 180, 90 False 8_day, aqua, global, modis, myd09q1, nasa, sr, surface_reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09Q1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09Q1 proprietary -MODIS/061/MYD10A1 MYD10A1.061 Aqua Snow Cover Daily Global 500m image_collection ee.ImageCollection('MODIS/061/MYD10A1') NASA NSIDC DAAC at CIRES 2002-07-04 2024-12-14 -180, -90, 180, 90 False albedo, aqua, daily, geophysical, global, modis, myd10a1, nasa, nsidc, snow https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD10A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD10A1 proprietary -MODIS/061/MYD11A1 MYD11A1.061 Aqua Land Surface Temperature and Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MYD11A1') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-11 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, modis, myd11a1, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD11A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A1 proprietary +MODIS/061/MYD10A1 MYD10A1.061 Aqua Snow Cover Daily Global 500m image_collection ee.ImageCollection('MODIS/061/MYD10A1') NASA NSIDC DAAC at CIRES 2002-07-04 2024-12-15 -180, -90, 180, 90 False albedo, aqua, daily, geophysical, global, modis, myd10a1, nasa, nsidc, snow https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD10A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD10A1 proprietary +MODIS/061/MYD11A1 MYD11A1.061 Aqua Land Surface Temperature and Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MYD11A1') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-15 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, modis, myd11a1, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD11A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A1 proprietary MODIS/061/MYD11A2 MYD11A2.061 Aqua Land Surface Temperature and Emissivity 8-Day Global 1km image_collection ee.ImageCollection('MODIS/061/MYD11A2') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-02 -180, -90, 180, 90 False 8_day, aqua, emissivity, global, lst, modis, myd11a2, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD11A2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A2 proprietary MODIS/061/MYD13A1 MYD13A1.061 Aqua Vegetation Indices 16-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MYD13A1') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-11-24 -180, -90, 180, 90 False 16_day, aqua, evi, global, modis, myd13a1, nasa, ndvi, usgs, vegetation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD13A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A1 proprietary MODIS/061/MYD13A2 MYD13A2.061 Aqua Vegetation Indices 16-Day Global 1km image_collection ee.ImageCollection('MODIS/061/MYD13A2') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-11-24 -180, -90, 180, 90 False 16_day, aqua, evi, global, modis, myd13a2, nasa, ndvi, usgs, vegetation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD13A2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A2 proprietary @@ -479,9 +479,9 @@ MODIS/061/MYD14A2 MYD14A2.061: Aqua Thermal Anomalies & Fire 8-Day Global 1km im MODIS/061/MYD15A2H MYD15A2H.061: Aqua Leaf Area Index/FPAR 8-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MYD15A2H') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-02 -180, -90, 180, 90 False 8_day, aqua, fpar, global, lai, modis, myd15a2h, nasa, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD15A2H.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD15A2H proprietary MODIS/061/MYD17A2H MYD17A2H.061: Aqua Gross Primary Productivity 8-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MYD17A2H') NASA LP DAAC at the USGS EROS Center 2021-01-01 2024-12-02 -180, -90, 180, 90 False 8_day, aqua, global, gpp, modis, myd17a2, nasa, photosynthesis, productivity, psn, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD17A2H.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD17A2H proprietary MODIS/061/MYD17A3HGF MYD17A3HGF.061: Aqua Net Primary Production Gap-Filled Yearly Global 500m image_collection ee.ImageCollection('MODIS/061/MYD17A3HGF') NASA LP DAAC at the USGS EROS Center 2001-01-01 2023-01-01 -180, -90, 180, 90 False aqua, global, gpp, nasa, npp, photosynthesis, productivity, psn, usgs, yearly https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD17A3HGF.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD17A3HGF proprietary -MODIS/061/MYD21A1D MYD21A1D.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MYD21A1D') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-14 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21A1D.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21A1D proprietary -MODIS/061/MYD21A1N MYD21A1N.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MYD21A1N') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-14 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21A1N.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21A1N proprietary -MODIS/061/MYD21C1 MYD21C1.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD21C1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-14 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21C1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C1 proprietary +MODIS/061/MYD21A1D MYD21A1D.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MYD21A1D') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-15 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21A1D.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21A1D proprietary +MODIS/061/MYD21A1N MYD21A1N.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MYD21A1N') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-15 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21A1N.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21A1N proprietary +MODIS/061/MYD21C1 MYD21C1.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD21C1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-15 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21C1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C1 proprietary MODIS/061/MYD21C2 MYD21C2.061 Aqua Land Surface Temperature and 3-Band Emissivity 8-Day L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD21C2') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-02 -180, -90, 180, 90 False aqua, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21C2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C2 proprietary MODIS/061/MYD21C3 MYD21C3.061 Aqua Land Surface Temperature and 3-Band Emissivity Monthly L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD21C3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-01 -180, -90, 180, 90 False aqua, emissivity, global, lst, monthly, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21C3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C3 proprietary MODIS/MCD43A1 MCD43A1.005 BRDF-Albedo Model Parameters 16-Day L3 Global 500m [deprecated] image_collection ee.ImageCollection('MODIS/MCD43A1') NASA LP DAAC at the USGS EROS Center 2000-02-18 2017-03-14 -180, -90, 180, 90 True 16_day, albedo, brdf, global, mcd43a1, modis, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_MCD43A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_MCD43A1 proprietary @@ -538,16 +538,16 @@ MODIS/MYD13A1 MYD13A1.005 Vegetation Indices 16-Day L3 Global 500m [deprecated] MODIS/MYD13Q1 MYD13Q1.005 Vegetation Indices 16-Day Global 250m [deprecated] image_collection ee.ImageCollection('MODIS/MYD13Q1') NASA LP DAAC at the USGS EROS Center 2002-07-04 2017-03-14 -180, -90, 180, 90 True 16_day, aqua, evi, global, modis, myd13q1, ndvi, vegetation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_MYD13Q1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_MYD13Q1 proprietary MODIS/NTSG/MOD16A2/105 MOD16A2: MODIS Global Terrestrial Evapotranspiration 8-Day Global 1km image_collection ee.ImageCollection('MODIS/NTSG/MOD16A2/105') Numerical Terradynamic Simulation Group, The University of Montana 2000-01-01 2014-12-27 -180, -90, 180, 90 False 8_day, evapotranspiration, global, mod16a2, modis https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_NTSG_MOD16A2_105.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_NTSG_MOD16A2_105 proprietary NASA/ASTER_GED/AG100_003 AG100: ASTER Global Emissivity Dataset 100-meter V003 image ee.Image('NASA/ASTER_GED/AG100_003') NASA LP DAAC at the USGS EROS Center 2000-01-01 2008-12-31 -180, -59, 180, 80 False aster, caltech, elevation, emissivity, ged, geophysical, infrared, jpl, lst, nasa, ndvi, temperature, thermal https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_ASTER_GED_AG100_003.json https://developers.google.com/earth-engine/datasets/catalog/NASA_ASTER_GED_AG100_003 proprietary -NASA/EMIT/L1B/RAD EMIT L1B At-Sensor Calibrated Radiance and Geolocation Data 60 m image_collection ee.ImageCollection('NASA/EMIT/L1B/RAD') NASA Jet Propulsion Laboratory 2022-08-09 2024-12-15 -180, -90, 180, 90 False daily, emit, nasa, radiance https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_EMIT_L1B_RAD.json https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L1B_RAD proprietary -NASA/EMIT/L2A/RFL EMIT L2A Estimated Surface Reflectance and Uncertainty and Masks 60 m image_collection ee.ImageCollection('NASA/EMIT/L2A/RFL') NASA Jet Propulsion Laboratory 2022-08-09 2024-12-15 -180, -90, 180, 90 False daily, emit, nasa, reflectance https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_EMIT_L2A_RFL.json https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L2A_RFL proprietary +NASA/EMIT/L1B/RAD EMIT L1B At-Sensor Calibrated Radiance and Geolocation Data 60 m image_collection ee.ImageCollection('NASA/EMIT/L1B/RAD') NASA Jet Propulsion Laboratory 2022-08-09 2024-12-16 -180, -90, 180, 90 False daily, emit, nasa, radiance https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_EMIT_L1B_RAD.json https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L1B_RAD proprietary +NASA/EMIT/L2A/RFL EMIT L2A Estimated Surface Reflectance and Uncertainty and Masks 60 m image_collection ee.ImageCollection('NASA/EMIT/L2A/RFL') NASA Jet Propulsion Laboratory 2022-08-09 2024-12-16 -180, -90, 180, 90 False daily, emit, nasa, reflectance https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_EMIT_L2A_RFL.json https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L2A_RFL proprietary NASA/EMIT/L2B/CH4ENH Earth Surface Mineral Dust Source Investigation- Methane Enhancement image_collection ee.ImageCollection('NASA/EMIT/L2B/CH4ENH') NASA Jet Propulsion Laboratory 2022-08-10 2024-11-30 -180, -90, 180, 90 False daily, emit, nasa, methane https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_EMIT_L2B_CH4ENH.json https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L2B_CH4ENH proprietary NASA/EMIT/L2B/CH4PLM Earth Surface Mineral Dust Source Investigation- Methane Plume Complexes image_collection ee.ImageCollection('NASA/EMIT/L2B/CH4PLM') NASA Jet Propulsion Laboratory 2022-08-10 2024-10-26 -180, -90, 180, 90 False daily, emit, nasa, methane https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_EMIT_L2B_CH4PLM.json https://developers.google.com/earth-engine/datasets/catalog/NASA_EMIT_L2B_CH4PLM proprietary NASA/FLDAS/NOAH01/C/GL/M/V001 FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System image_collection ee.ImageCollection('NASA/FLDAS/NOAH01/C/GL/M/V001') NASA GES DISC at NASA Goddard Space Flight Center 1982-01-01 2024-10-01 -180, -60, 180, 90 False climate, evapotranspiration, famine, fldas, humidity, ldas, monthly, nasa, runoff, snow, soil_moisture, soil_temperature, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_FLDAS_NOAH01_C_GL_M_V001.json https://developers.google.com/earth-engine/datasets/catalog/NASA_FLDAS_NOAH01_C_GL_M_V001 proprietary NASA/GDDP-CMIP6 NEX-GDDP-CMIP6: NASA Earth Exchange Global Daily Downscaled Climate Projections image_collection ee.ImageCollection('NASA/GDDP-CMIP6') NASA / Climate Analytics Group 1950-01-01 2100-12-31 -180, -90, 180, 90 False cag, climate, gddp, geophysical, ipcc, nasa, nex, precipitation, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GDDP-CMIP6.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GDDP-CMIP6 various -NASA/GEOS-CF/v1/fcst/htf GEOS-CF fcst htf v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/fcst/htf') NASA / GMAO 2022-10-01 2024-12-15 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_fcst_htf.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_htf proprietary -NASA/GEOS-CF/v1/fcst/tavg1hr GEOS-CF fcst tavg1hr v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/fcst/tavg1hr') NASA / GMAO 2022-10-01 2024-12-15 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_fcst_tavg1hr.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_tavg1hr proprietary -NASA/GEOS-CF/v1/rpl/htf GEOS-CF rpl htf v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/rpl/htf') NASA / GMAO 2018-01-01 2024-12-15 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_rpl_htf.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_htf proprietary -NASA/GEOS-CF/v1/rpl/tavg1hr GEOS-CF rpl tavg1hr v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/rpl/tavg1hr') NASA / GMAO 2018-01-01 2024-12-15 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_rpl_tavg1hr.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_tavg1hr proprietary +NASA/GEOS-CF/v1/fcst/htf GEOS-CF fcst htf v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/fcst/htf') NASA / GMAO 2022-10-01 2024-12-16 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_fcst_htf.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_htf proprietary +NASA/GEOS-CF/v1/fcst/tavg1hr GEOS-CF fcst tavg1hr v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/fcst/tavg1hr') NASA / GMAO 2022-10-01 2024-12-16 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_fcst_tavg1hr.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_tavg1hr proprietary +NASA/GEOS-CF/v1/rpl/htf GEOS-CF rpl htf v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/rpl/htf') NASA / GMAO 2018-01-01 2024-12-16 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_rpl_htf.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_htf proprietary +NASA/GEOS-CF/v1/rpl/tavg1hr GEOS-CF rpl tavg1hr v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/rpl/tavg1hr') NASA / GMAO 2018-01-01 2024-12-16 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_rpl_tavg1hr.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_tavg1hr proprietary NASA/GIMMS/3GV0 GIMMS NDVI From AVHRR Sensors (3rd Generation) image_collection ee.ImageCollection('NASA/GIMMS/3GV0') NASA/NOAA 1981-07-01 2013-12-16 -180, -90, 180, 90 False avhrr, gimms, nasa, ndvi, noaa, vegetation https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GIMMS_3GV0.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GIMMS_3GV0 proprietary NASA/GLDAS/V021/NOAH/G025/T3H GLDAS-2.1: Global Land Data Assimilation System image_collection ee.ImageCollection('NASA/GLDAS/V021/NOAH/G025/T3H') NASA GES DISC at NASA Goddard Space Flight Center 2000-01-01 2024-11-13 -180, -90, 180, 90 False 3_hourly, climate, evaporation, forcing, geophysical, gldas, humidity, ldas, nasa, precipitation, pressure, radiation, soil, soil_moisture, surface, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GLDAS_V021_NOAH_G025_T3H.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V021_NOAH_G025_T3H proprietary NASA/GLDAS/V022/CLSM/G025/DA1D GLDAS-2.2: Global Land Data Assimilation System image_collection ee.ImageCollection('NASA/GLDAS/V022/CLSM/G025/DA1D') NASA GES DISC at NASA Goddard Earth Sciences Data and Information Services Center 2003-01-01 2024-06-30 -180, -90, 180, 90 False 3_hourly, climate, evaporation, forcing, geophysical, gldas, humidity, ldas, nasa, precipitation, pressure, radiation, soil, soil_moisture, surface, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GLDAS_V022_CLSM_G025_DA1D.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V022_CLSM_G025_DA1D proprietary @@ -571,10 +571,10 @@ NASA/GSFC/MERRA/flx/2 MERRA-2 M2T1NXFLX: Surface Flux Diagnostics V5.12.4 image_ NASA/GSFC/MERRA/lnd/2 MERRA-2 M2T1NXLND: Land Surface Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/lnd/2') NASA/MERRA 1980-01-01 2024-11-01 -180, -90, 180, 90 False evaporation, ice, merra, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_lnd_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_lnd_2 proprietary NASA/GSFC/MERRA/rad/2 MERRA-2 M2T1NXRAD: Radiation Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/rad/2') NASA/MERRA 1980-01-01 2024-11-01 -180, -90, 180, 90 False albedo, emissivity, merra, shortwave, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_rad_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_rad_2 proprietary NASA/GSFC/MERRA/slv/2 MERRA-2 M2T1NXSLV: Single-Level Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/slv/2') NASA/MERRA 1980-01-01 2024-11-01 -180, -90, 180, 90 False condensation, humidity, merra, nasa, omega, pressure, slv, temperature, vapor, water, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_slv_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_slv_2 proprietary -NASA/HLS/HLSL30/v002 HLSL30: HLS-2 Landsat Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m image_collection ee.ImageCollection('NASA/HLS/HLSL30/v002') NASA LP DAAC 2013-04-11 2024-12-14 -180, -90, 180, 90 False landsat, nasa, sentinel, usgs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_HLS_HLSL30_v002.json https://developers.google.com/earth-engine/datasets/catalog/NASA_HLS_HLSL30_v002 proprietary +NASA/HLS/HLSL30/v002 HLSL30: HLS-2 Landsat Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m image_collection ee.ImageCollection('NASA/HLS/HLSL30/v002') NASA LP DAAC 2013-04-11 2024-12-15 -180, -90, 180, 90 False landsat, nasa, sentinel, usgs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_HLS_HLSL30_v002.json https://developers.google.com/earth-engine/datasets/catalog/NASA_HLS_HLSL30_v002 proprietary NASA/JPL/global_forest_canopy_height_2005 Global Forest Canopy Height, 2005 image ee.Image('NASA/JPL/global_forest_canopy_height_2005') NASA/JPL 2005-05-20 2005-06-23 -180, -90, 180, 90 False canopy, forest, geophysical, glas, jpl, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_JPL_global_forest_canopy_height_2005.json https://developers.google.com/earth-engine/datasets/catalog/NASA_JPL_global_forest_canopy_height_2005 proprietary -NASA/LANCE/NOAA20_VIIRS/C2 VJ114IMGTDL_NRT Daily Raster: VIIRS (NOAA-20) Band 375m Active Fire image_collection ee.ImageCollection('NASA/LANCE/NOAA20_VIIRS/C2') NASA / LANCE / NOAA20_VIIRS 2023-10-08 2024-12-15 -180, -90, 180, 90 False eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_LANCE_NOAA20_VIIRS_C2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_LANCE_NOAA20_VIIRS_C2 proprietary -NASA/LANCE/SNPP_VIIRS/C2 VNP14IMGTDL_NRT Daily Raster: VIIRS (S-NPP) Band 375m Active Fire image_collection ee.ImageCollection('NASA/LANCE/SNPP_VIIRS/C2') NASA / LANCE / SNPP_VIIRS 2023-09-03 2024-12-15 -180, -90, 180, 90 False eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_LANCE_SNPP_VIIRS_C2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_LANCE_SNPP_VIIRS_C2 proprietary +NASA/LANCE/NOAA20_VIIRS/C2 VJ114IMGTDL_NRT Daily Raster: VIIRS (NOAA-20) Band 375m Active Fire image_collection ee.ImageCollection('NASA/LANCE/NOAA20_VIIRS/C2') NASA / LANCE / NOAA20_VIIRS 2023-10-08 2024-12-16 -180, -90, 180, 90 False eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_LANCE_NOAA20_VIIRS_C2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_LANCE_NOAA20_VIIRS_C2 proprietary +NASA/LANCE/SNPP_VIIRS/C2 VNP14IMGTDL_NRT Daily Raster: VIIRS (S-NPP) Band 375m Active Fire image_collection ee.ImageCollection('NASA/LANCE/SNPP_VIIRS/C2') NASA / LANCE / SNPP_VIIRS 2023-09-03 2024-12-16 -180, -90, 180, 90 False eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_LANCE_SNPP_VIIRS_C2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_LANCE_SNPP_VIIRS_C2 proprietary NASA/MEASURES/GFCC/TC/v3 Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m image_collection ee.ImageCollection('NASA/MEASURES/GFCC/TC/v3') NASA LP DAAC at the USGS EROS Center 2000-01-01 2015-01-01 -180, -90, 180, 90 False forest, glcf, landsat_derived, nasa, umd https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_MEASURES_GFCC_TC_v3.json https://developers.google.com/earth-engine/datasets/catalog/NASA_MEASURES_GFCC_TC_v3 proprietary NASA/NASADEM_HGT/001 NASADEM: NASA NASADEM Digital Elevation 30m image ee.Image('NASA/NASADEM_HGT/001') NASA / USGS / JPL-Caltech 2000-02-11 2000-02-22 -180, -56, 180, 60 False dem, elevation, geophysical, nasa, nasadem, srtm, topography, usgs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_NASADEM_HGT_001.json https://developers.google.com/earth-engine/datasets/catalog/NASA_NASADEM_HGT_001 proprietary NASA/NEX-DCP30 NEX-DCP30: NASA Earth Exchange Downscaled Climate Projections image_collection ee.ImageCollection('NASA/NEX-DCP30') NASA / Climate Analytics Group 1950-01-01 2099-12-01 -125.03, 24.07, -66.47, 53.74 False cag, climate, cmip5, geophysical, ipcc, nasa, nex, precipitation, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_NEX-DCP30.json https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30 proprietary @@ -590,20 +590,20 @@ NASA/ORNL/biomass_carbon_density/v1 Global Aboveground and Belowground Biomass C NASA/ORNL/global_forest_classification_2020/V1 Global 2020 Forest Classification for IPCC Aboveground Biomass Tier 1 Estimates, V1 image_collection ee.ImageCollection('NASA/ORNL/global_forest_classification_2020/V1') NASA ORNL DAAC at Oak Ridge National Laboratory 2020-01-01 2020-12-31 -180, -90, 180, 90 False aboveground, biomass, carbon, classification, forest, ipcc, nasa, primary_forest, secondary_forest https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_ORNL_global_forest_classification_2020_V1.json https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_global_forest_classification_2020_V1 proprietary NASA/SMAP/SPL3SMP_E/005 SPL3SMP_E.005 SMAP L3 Radiometer Global Daily 9 km Soil Moisture image_collection ee.ImageCollection('NASA/SMAP/SPL3SMP_E/005') Google and NSIDC 2015-03-31 2023-12-03 -180, -84, 180, 84 False drought, nasa, smap, soil_moisture, surface, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_SMAP_SPL3SMP_E_005.json https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL3SMP_E_005 proprietary NASA/SMAP/SPL3SMP_E/006 SPL3SMP_E.006 SMAP L3 Radiometer Global Daily 9 km Soil Moisture image_collection ee.ImageCollection('NASA/SMAP/SPL3SMP_E/006') Google and NSIDC 2023-12-04 2024-12-15 -180, -84, 180, 84 False drought, nasa, smap, soil_moisture, surface, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_SMAP_SPL3SMP_E_006.json https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL3SMP_E_006 proprietary -NASA/SMAP/SPL4SMGP/007 SPL4SMGP.007 SMAP L4 Global 3-hourly 9-km Surface and Root Zone Soil Moisture image_collection ee.ImageCollection('NASA/SMAP/SPL4SMGP/007') Google and NSIDC 2015-03-31 2024-12-14 -180, -84, 180, 84 False drought, nasa, smap, soil_moisture, surface, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_SMAP_SPL4SMGP_007.json https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL4SMGP_007 proprietary +NASA/SMAP/SPL4SMGP/007 SPL4SMGP.007 SMAP L4 Global 3-hourly 9-km Surface and Root Zone Soil Moisture image_collection ee.ImageCollection('NASA/SMAP/SPL4SMGP/007') Google and NSIDC 2015-03-31 2024-12-15 -180, -84, 180, 84 False drought, nasa, smap, soil_moisture, surface, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_SMAP_SPL4SMGP_007.json https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL4SMGP_007 proprietary NASA/VIIRS/002/VNP09GA VNP09GA: VIIRS Surface Reflectance Daily 500m and 1km image_collection ee.ImageCollection('NASA/VIIRS/002/VNP09GA') NASA Land SIPS 2012-01-19 2024-12-15 -180, -90, 180, 90 False daily, nasa, noaa, npp, reflectance, sr, viirs, vnp09ga https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP09GA.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP09GA proprietary -NASA/VIIRS/002/VNP09H1 VNP09H1: VIIRS Surface Reflectance 8-Day L3 Global 500m image_collection ee.ImageCollection('NASA/VIIRS/002/VNP09H1') NASA LP DAAC at the USGS EROS Center 2012-01-19 2024-11-24 -180, -90, 180, 90 False daily, nasa, noaa, npp, reflectance, sr, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP09H1.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP09H1 proprietary +NASA/VIIRS/002/VNP09H1 VNP09H1: VIIRS Surface Reflectance 8-Day L3 Global 500m image_collection ee.ImageCollection('NASA/VIIRS/002/VNP09H1') NASA LP DAAC at the USGS EROS Center 2012-01-19 2024-12-02 -180, -90, 180, 90 False daily, nasa, noaa, npp, reflectance, sr, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP09H1.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP09H1 proprietary NASA/VIIRS/002/VNP13A1 VNP13A1.002: VIIRS Vegetation Indices 16-Day 500m image_collection ee.ImageCollection('NASA/VIIRS/002/VNP13A1') NASA LP DAAC at the USGS EROS Center 2012-01-17 2024-11-24 -180, -90, 180, 90 False 16_day, evi, nasa, ndvi, noaa, npp, vegetation, viirs, vnp13a1 https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP13A1.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP13A1 proprietary NASA/VIIRS/002/VNP14A1 VNP14A1.002: Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid image_collection ee.ImageCollection('NASA/VIIRS/002/VNP14A1') NASA LP DAAC at the USGS EROS Center 2012-01-19 2024-12-15 -180, -90, 180, 90 False fire, land, nasa, noaa, surface, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP14A1.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP14A1 proprietary -NASA/VIIRS/002/VNP15A2H VNP15A2H: LAI/FPAR 8-Day L4 Global 500m SIN Grid image_collection ee.ImageCollection('NASA/VIIRS/002/VNP15A2H') NASA LP DAAC at the USGS EROS Center 2012-01-17 2024-11-24 -180, -90, 180, 90 False land, nasa, noaa, surface, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP15A2H.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP15A2H proprietary +NASA/VIIRS/002/VNP15A2H VNP15A2H: LAI/FPAR 8-Day L4 Global 500m SIN Grid image_collection ee.ImageCollection('NASA/VIIRS/002/VNP15A2H') NASA LP DAAC at the USGS EROS Center 2012-01-17 2024-12-02 -180, -90, 180, 90 False land, nasa, noaa, surface, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP15A2H.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP15A2H proprietary NASA/VIIRS/002/VNP21A1D VNP21A1D.002: Day Land Surface Temperature and Emissivity Daily 1km image_collection ee.ImageCollection('NASA/VIIRS/002/VNP21A1D') NASA LP DAAC at the USGS EROS Center 2012-01-19 2024-12-15 -180, -90, 180, 90 False daily, day, land, nasa, noaa, surface, temperature, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP21A1D.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP21A1D proprietary NASA/VIIRS/002/VNP21A1N VNP21A1N.002: Night Land Surface Temperature and Emissivity Daily 1km image_collection ee.ImageCollection('NASA/VIIRS/002/VNP21A1N') NASA LP DAAC at the USGS EROS Center 2012-01-19 2024-12-15 -180, -90, 180, 90 False daily, land, nasa, night, noaa, surface, temperature, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP21A1N.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP21A1N proprietary NASA_USDA/HSL/SMAP10KM_soil_moisture NASA-USDA Enhanced SMAP Global Soil Moisture Data [deprecated] image_collection ee.ImageCollection('NASA_USDA/HSL/SMAP10KM_soil_moisture') NASA GSFC 2015-04-02 2022-08-02 -180, -60, 180, 90 True geophysical, hsl, nasa, smap, soil, soil_moisture, usda https://storage.googleapis.com/earthengine-stac/catalog/NASA_USDA/NASA_USDA_HSL_SMAP10KM_soil_moisture.json https://developers.google.com/earth-engine/datasets/catalog/NASA_USDA_HSL_SMAP10KM_soil_moisture proprietary NASA_USDA/HSL/SMAP_soil_moisture NASA-USDA SMAP Global Soil Moisture Data [deprecated] image_collection ee.ImageCollection('NASA_USDA/HSL/SMAP_soil_moisture') NASA GSFC 2015-04-02 2020-12-31 -180, -60, 180, 90 True geophysical, hsl, nasa, smap, soil, soil_moisture, usda https://storage.googleapis.com/earthengine-stac/catalog/NASA_USDA/NASA_USDA_HSL_SMAP_soil_moisture.json https://developers.google.com/earth-engine/datasets/catalog/NASA_USDA_HSL_SMAP_soil_moisture proprietary NASA_USDA/HSL/soil_moisture NASA-USDA Global Soil Moisture Data [deprecated] image_collection ee.ImageCollection('NASA_USDA/HSL/soil_moisture') NASA GSFC 2010-01-13 2020-12-31 -180, -60, 180, 90 True geophysical, hsl, nasa, smos, soil, soil_moisture, usda https://storage.googleapis.com/earthengine-stac/catalog/NASA_USDA/NASA_USDA_HSL_soil_moisture.json https://developers.google.com/earth-engine/datasets/catalog/NASA_USDA_HSL_soil_moisture proprietary -NCEP_RE/sea_level_pressure NCEP/NCAR Reanalysis Data, Sea-Level Pressure image_collection ee.ImageCollection('NCEP_RE/sea_level_pressure') NCEP 1948-01-01 2024-12-13 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, pressure, reanalysis https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_sea_level_pressure.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_sea_level_pressure proprietary -NCEP_RE/surface_temp NCEP/NCAR Reanalysis Data, Surface Temperature image_collection ee.ImageCollection('NCEP_RE/surface_temp') NCEP 1948-01-01 2024-12-13 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, reanalysis, temperature https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_surface_temp.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_temp proprietary -NCEP_RE/surface_wv NCEP/NCAR Reanalysis Data, Water Vapor image_collection ee.ImageCollection('NCEP_RE/surface_wv') NCEP 1948-01-01 2024-12-13 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, precipitable, reanalysis, vapor https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_surface_wv.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_wv proprietary +NCEP_RE/sea_level_pressure NCEP/NCAR Reanalysis Data, Sea-Level Pressure image_collection ee.ImageCollection('NCEP_RE/sea_level_pressure') NCEP 1948-01-01 2024-12-14 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, pressure, reanalysis https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_sea_level_pressure.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_sea_level_pressure proprietary +NCEP_RE/surface_temp NCEP/NCAR Reanalysis Data, Surface Temperature image_collection ee.ImageCollection('NCEP_RE/surface_temp') NCEP 1948-01-01 2024-12-14 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, reanalysis, temperature https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_surface_temp.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_temp proprietary +NCEP_RE/surface_wv NCEP/NCAR Reanalysis Data, Water Vapor image_collection ee.ImageCollection('NCEP_RE/surface_wv') NCEP 1948-01-01 2024-12-14 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, precipitable, reanalysis, vapor https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_surface_wv.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_wv proprietary NOAA/CDR/ATMOS_NEAR_SURFACE/V2 NOAA CDR: Ocean Near-Surface Atmospheric Properties, Version 2 image_collection ee.ImageCollection('NOAA/CDR/ATMOS_NEAR_SURFACE/V2') NOAA 1988-01-01 2021-08-31 -180, -90, 180, 90 False air_temperature, atmospheric, cdr, hourly, humidity, noaa, ocean, osb, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_ATMOS_NEAR_SURFACE_V2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_ATMOS_NEAR_SURFACE_V2 proprietary NOAA/CDR/AVHRR/AOT/V3 NOAA CDR AVHRR AOT: Daily Aerosol Optical Thickness Over Global Oceans, v03 [deprecated] image_collection ee.ImageCollection('NOAA/CDR/AVHRR/AOT/V3') NOAA 1981-01-01 2022-03-31 -180, -90, 180, 90 True aerosol, aot, atmospheric, avhrr, cdr, daily, noaa, optical, pollution https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_AVHRR_AOT_V3.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_AOT_V3 proprietary NOAA/CDR/AVHRR/AOT/V4 NOAA CDR AVHRR AOT: Daily Aerosol Optical Thickness Over Global Oceans, v04 image_collection ee.ImageCollection('NOAA/CDR/AVHRR/AOT/V4') NOAA 1981-01-01 2024-09-30 -180, -90, 180, 90 False aerosol, aot, atmospheric, avhrr, cdr, daily, noaa, optical, pollution https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_AVHRR_AOT_V4.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_AOT_V4 proprietary @@ -616,38 +616,38 @@ NOAA/CDR/AVHRR/SR/V5 NOAA CDR AVHRR: Surface Reflectance, Version 5 image_collec NOAA/CDR/GRIDSAT-B1/V2 NOAA CDR GRIDSAT-B1: Geostationary IR Channel Brightness Temperature image_collection ee.ImageCollection('NOAA/CDR/GRIDSAT-B1/V2') NOAA 1980-01-01 2024-03-31 -180, -90, 180, 90 False brightness, cdr, fundamental, geostationary, infrared, isccp, noaa, reflectance, sr https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_GRIDSAT-B1_V2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_GRIDSAT-B1_V2 proprietary NOAA/CDR/HEAT_FLUXES/V2 NOAA CDR: Ocean Heat Fluxes, Version 2 image_collection ee.ImageCollection('NOAA/CDR/HEAT_FLUXES/V2') NOAA 1988-01-01 2021-08-31 -180, -90, 180, 90 False atmospheric, cdr, flux, heat, hourly, noaa, ocean, osb https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_HEAT_FLUXES_V2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_HEAT_FLUXES_V2 proprietary NOAA/CDR/OISST/V2 NOAA CDR OISST v2: Optimum Interpolation Sea Surface Temperature [deprecated] image_collection ee.ImageCollection('NOAA/CDR/OISST/V2') NOAA 1981-09-01 2020-04-26 -180, -90, 180, 90 True avhrr, cdr, daily, ice, noaa, ocean, oisst, real_time, sst, temperature https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_OISST_V2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_OISST_V2 proprietary -NOAA/CDR/OISST/V2_1 NOAA CDR OISST v02r01: Optimum Interpolation Sea Surface Temperature image_collection ee.ImageCollection('NOAA/CDR/OISST/V2_1') NOAA 1981-09-01 2024-12-14 -180, -90, 180, 90 False avhrr, cdr, daily, ice, noaa, ocean, oisst, real_time, sst, temperature https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_OISST_V2_1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_OISST_V2_1 proprietary +NOAA/CDR/OISST/V2_1 NOAA CDR OISST v02r01: Optimum Interpolation Sea Surface Temperature image_collection ee.ImageCollection('NOAA/CDR/OISST/V2_1') NOAA 1981-09-01 2024-12-15 -180, -90, 180, 90 False avhrr, cdr, daily, ice, noaa, ocean, oisst, real_time, sst, temperature https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_OISST_V2_1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_OISST_V2_1 proprietary NOAA/CDR/PATMOSX/V53 NOAA CDR PATMOSX: Cloud Properties, Reflectance, and Brightness Temperatures, Version 5.3 image_collection ee.ImageCollection('NOAA/CDR/PATMOSX/V53') NOAA 1979-01-01 2022-01-01 -180, -90, 180, 90 False atmospheric, avhrr, brightness, cdr, cloud, metop, noaa, optical, poes, reflectance, temperature https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_PATMOSX_V53.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_PATMOSX_V53 proprietary NOAA/CDR/SST_PATHFINDER/V53 NOAA AVHRR Pathfinder Version 5.3 Collated Global 4km Sea Surface Temperature image_collection ee.ImageCollection('NOAA/CDR/SST_PATHFINDER/V53') NOAA 1981-08-24 2023-12-30 -180, -90, 180, 90 False avhrr, noaa, pathfinder, sea_ice, sst, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_SST_PATHFINDER_V53.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_SST_PATHFINDER_V53 proprietary NOAA/CDR/SST_WHOI/V2 NOAA CDR WHOI: Sea Surface Temperature, Version 2 image_collection ee.ImageCollection('NOAA/CDR/SST_WHOI/V2') NOAA 1988-01-01 2021-08-31 -180, -90, 180, 90 False atmospheric, cdr, hourly, noaa, ocean, oisst, osb, sst, whoi https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_SST_WHOI_V2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_SST_WHOI_V2 proprietary -NOAA/CFSR CFSR: Climate Forecast System Reanalysis image_collection ee.ImageCollection('NOAA/CFSR') NOAA NWS National Centers for Environmental Prediction (NCEP) 2018-12-13 2024-12-16 -180, -90, 180, 90 False climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CFSR.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSR proprietary -NOAA/CFSV2/FOR6H CFSV2: NCEP Climate Forecast System Version 2, 6-Hourly Products image_collection ee.ImageCollection('NOAA/CFSV2/FOR6H') NOAA NWS National Centers for Environmental Prediction (NCEP) 1979-01-01 2024-12-15 -180, -90, 180, 90 False climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CFSV2_FOR6H.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSV2_FOR6H proprietary -NOAA/CPC/Precipitation CPC Global Unified Gauge-Based Analysis of Daily Precipitation image_collection ee.ImageCollection('NOAA/CPC/Precipitation') NOAA Physical Sciences Laboratory 2006-01-01 2024-12-14 -180, -90, 180, 90 False daily, noaa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CPC_Precipitation.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Precipitation proprietary -NOAA/CPC/Temperature CPC Global Unified Temperature image_collection ee.ImageCollection('NOAA/CPC/Temperature') NOAA Physical Sciences Laboratory 1979-01-01 2024-12-15 -180, -90, 180, 90 False daily, noaa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CPC_Temperature.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Temperature proprietary +NOAA/CFSR CFSR: Climate Forecast System Reanalysis image_collection ee.ImageCollection('NOAA/CFSR') NOAA NWS National Centers for Environmental Prediction (NCEP) 2018-12-13 2024-12-17 -180, -90, 180, 90 False climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CFSR.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSR proprietary +NOAA/CFSV2/FOR6H CFSV2: NCEP Climate Forecast System Version 2, 6-Hourly Products image_collection ee.ImageCollection('NOAA/CFSV2/FOR6H') NOAA NWS National Centers for Environmental Prediction (NCEP) 1979-01-01 2024-12-17 -180, -90, 180, 90 False climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CFSV2_FOR6H.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSV2_FOR6H proprietary +NOAA/CPC/Precipitation CPC Global Unified Gauge-Based Analysis of Daily Precipitation image_collection ee.ImageCollection('NOAA/CPC/Precipitation') NOAA Physical Sciences Laboratory 2006-01-01 2024-12-15 -180, -90, 180, 90 False daily, noaa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CPC_Precipitation.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Precipitation proprietary +NOAA/CPC/Temperature CPC Global Unified Temperature image_collection ee.ImageCollection('NOAA/CPC/Temperature') NOAA Physical Sciences Laboratory 1979-01-01 2024-12-16 -180, -90, 180, 90 False daily, noaa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CPC_Temperature.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Temperature proprietary NOAA/DMSP-OLS/CALIBRATED_LIGHTS_V4 DMSP OLS: Global Radiance-Calibrated Nighttime Lights Version 4, Defense Meteorological Program Operational Linescan System image_collection ee.ImageCollection('NOAA/DMSP-OLS/CALIBRATED_LIGHTS_V4') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 1996-03-16 2011-07-31 -180, -65, 180, 75 False calibrated, dmsp, eog, imagery, lights, nighttime, ols, radiance, visible, yearly https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_DMSP-OLS_CALIBRATED_LIGHTS_V4.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_CALIBRATED_LIGHTS_V4 proprietary NOAA/DMSP-OLS/NIGHTTIME_LIGHTS DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological Program Operational Linescan System image_collection ee.ImageCollection('NOAA/DMSP-OLS/NIGHTTIME_LIGHTS') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 1992-01-01 2014-01-01 -180, -65, 180, 75 False dmsp, eog, imagery, lights, nighttime, ols, visible, yearly https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS proprietary -NOAA/GFS0P25 GFS: Global Forecast System 384-Hour Predicted Atmosphere Data image_collection ee.ImageCollection('NOAA/GFS0P25') NOAA/NCEP/EMC 2015-07-01 2024-12-16 -180, -90, 180, 90 False climate, cloud, emc, flux, forecast, geophysical, gfs, humidity, ncep, noaa, precipitation, radiation, temperature, vapor, weather, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GFS0P25.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GFS0P25 proprietary -NOAA/GOES/16/FDCC GOES-16 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS image_collection ee.ImageCollection('NOAA/GOES/16/FDCC') NOAA 2017-05-24 2024-12-16 -152.11, 14, -49.18, 56.77 False abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_FDCC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_FDCC proprietary -NOAA/GOES/16/FDCF GOES-16 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk image_collection ee.ImageCollection('NOAA/GOES/16/FDCF') NOAA 2017-05-24 2024-12-16 -180, -90, 180, 90 False abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_FDCF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_FDCF proprietary -NOAA/GOES/16/MCMIPC GOES-16 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPC') NOAA 2017-07-10 2024-12-16 -152.11, 14, -49.18, 56.77 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPC proprietary -NOAA/GOES/16/MCMIPF GOES-16 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPF') NOAA 2017-07-10 2024-12-16 -180, -90, 180, 90 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPF proprietary -NOAA/GOES/16/MCMIPM GOES-16 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPM') NOAA 2017-07-10 2024-12-16 -180, -90, 180, 90 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPM.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPM proprietary +NOAA/GFS0P25 GFS: Global Forecast System 384-Hour Predicted Atmosphere Data image_collection ee.ImageCollection('NOAA/GFS0P25') NOAA/NCEP/EMC 2015-07-01 2024-12-17 -180, -90, 180, 90 False climate, cloud, emc, flux, forecast, geophysical, gfs, humidity, ncep, noaa, precipitation, radiation, temperature, vapor, weather, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GFS0P25.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GFS0P25 proprietary +NOAA/GOES/16/FDCC GOES-16 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS image_collection ee.ImageCollection('NOAA/GOES/16/FDCC') NOAA 2017-05-24 2024-12-17 -152.11, 14, -49.18, 56.77 False abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_FDCC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_FDCC proprietary +NOAA/GOES/16/FDCF GOES-16 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk image_collection ee.ImageCollection('NOAA/GOES/16/FDCF') NOAA 2017-05-24 2024-12-17 -180, -90, 180, 90 False abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_FDCF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_FDCF proprietary +NOAA/GOES/16/MCMIPC GOES-16 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPC') NOAA 2017-07-10 2024-12-17 -152.11, 14, -49.18, 56.77 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPC proprietary +NOAA/GOES/16/MCMIPF GOES-16 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPF') NOAA 2017-07-10 2024-12-17 -180, -90, 180, 90 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPF proprietary +NOAA/GOES/16/MCMIPM GOES-16 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPM') NOAA 2017-07-10 2024-12-17 -180, -90, 180, 90 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPM.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPM proprietary NOAA/GOES/17/FDCC GOES-17 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS image_collection ee.ImageCollection('NOAA/GOES/17/FDCC') NOAA 2018-08-27 2023-01-10 -180, 14.57, 180, 53.51 False abi, climate, fdc, fire, goes, goes_17, goes_s, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_17_FDCC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_FDCC proprietary NOAA/GOES/17/FDCF GOES-17 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk image_collection ee.ImageCollection('NOAA/GOES/17/FDCF') NOAA 2018-08-27 2023-01-10 -180, -90, 180, 90 False abi, climate, fdc, fire, goes, goes_17, goes_s, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_17_FDCF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_FDCF proprietary NOAA/GOES/17/MCMIPC GOES-17 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS image_collection ee.ImageCollection('NOAA/GOES/17/MCMIPC') NOAA 2018-12-04 2023-01-10 -180, 14.57, 180, 53.51 False abi, climate, goes, goes_17, goes_s, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_17_MCMIPC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPC proprietary NOAA/GOES/17/MCMIPF GOES-17 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/17/MCMIPF') NOAA 2018-12-04 2023-01-10 -180, -90, 180, 90 False abi, climate, goes, goes_17, goes_s, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_17_MCMIPF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPF proprietary NOAA/GOES/17/MCMIPM GOES-17 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/17/MCMIPM') NOAA 2018-12-04 2023-01-10 -180, -90, 180, 90 False abi, climate, goes, goes_17, goes_s, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_17_MCMIPM.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPM proprietary -NOAA/GOES/18/FDCC GOES-18 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS image_collection ee.ImageCollection('NOAA/GOES/18/FDCC') NOAA 2022-10-13 2024-12-16 -180, 14.57, 180, 53.51 False abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_FDCC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_FDCC proprietary -NOAA/GOES/18/FDCF GOES-18 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/FDCF') NOAA 2022-10-13 2024-12-16 -180, -90, 180, 90 False abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_FDCF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_FDCF proprietary -NOAA/GOES/18/MCMIPC GOES-18 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPC') NOAA 2018-12-04 2024-12-16 -180, 14.57, 180, 53.51 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPC proprietary -NOAA/GOES/18/MCMIPF GOES-18 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPF') NOAA 2018-12-04 2024-12-16 -180, -90, 180, 90 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPF proprietary -NOAA/GOES/18/MCMIPM GOES-18 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPM') NOAA 2018-12-04 2024-12-16 -180, -90, 180, 90 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPM.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPM proprietary +NOAA/GOES/18/FDCC GOES-18 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS image_collection ee.ImageCollection('NOAA/GOES/18/FDCC') NOAA 2022-10-13 2024-12-17 -180, 14.57, 180, 53.51 False abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_FDCC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_FDCC proprietary +NOAA/GOES/18/FDCF GOES-18 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/FDCF') NOAA 2022-10-13 2024-12-17 -180, -90, 180, 90 False abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_FDCF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_FDCF proprietary +NOAA/GOES/18/MCMIPC GOES-18 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPC') NOAA 2018-12-04 2024-12-17 -180, 14.57, 180, 53.51 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPC proprietary +NOAA/GOES/18/MCMIPF GOES-18 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPF') NOAA 2018-12-04 2024-12-17 -180, -90, 180, 90 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPF proprietary +NOAA/GOES/18/MCMIPM GOES-18 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPM') NOAA 2018-12-04 2024-12-17 -180, -90, 180, 90 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPM.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPM proprietary NOAA/IBTrACS/v4 International Best Track Archive for Climate Stewardship Project table ee.FeatureCollection('NOAA/IBTrACS/v4') NOAA NCEI 1842-10-25 2024-05-19 -180, 0.4, 180, 63.1 False hurricane, noaa, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_IBTrACS_v4.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_IBTrACS_v4 proprietary NOAA/NCEP_DOE_RE2/total_cloud_coverage NCEP-DOE Reanalysis 2 (Gaussian Grid), Total Cloud Coverage image_collection ee.ImageCollection('NOAA/NCEP_DOE_RE2/total_cloud_coverage') NOAA 1979-01-01 2024-11-30 -180, -90, 180, 90 False atmosphere, climate, cloud, geophysical, ncep, noaa, reanalysis https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NCEP_DOE_RE2_total_cloud_coverage.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NCEP_DOE_RE2_total_cloud_coverage proprietary NOAA/NGDC/ETOPO1 ETOPO1: Global 1 Arc-Minute Elevation image ee.Image('NOAA/NGDC/ETOPO1') NOAA 2008-08-01 2008-08-01 -180, -90, 180, 90 False bedrock, dem, elevation, geophysical, ice, noaa, topography https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NGDC_ETOPO1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NGDC_ETOPO1 proprietary NOAA/NHC/HURDAT2/atlantic NOAA NHC HURDAT2 Atlantic Hurricane Catalog table ee.FeatureCollection('NOAA/NHC/HURDAT2/atlantic') NOAA NHC 1851-06-25 2018-11-04 -109.5, 7.2, 63, 81 False hurricane, nhc, noaa, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NHC_HURDAT2_atlantic.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NHC_HURDAT2_atlantic proprietary NOAA/NHC/HURDAT2/pacific NOAA NHC HURDAT2 Pacific Hurricane Catalog table ee.FeatureCollection('NOAA/NHC/HURDAT2/pacific') NOAA NHC 1949-06-11 2018-11-09 -180, 0.4, 180, 63.1 False hurricane, nhc, noaa, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NHC_HURDAT2_pacific.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NHC_HURDAT2_pacific proprietary -NOAA/NWS/RTMA RTMA: Real-Time Mesoscale Analysis image_collection ee.ImageCollection('NOAA/NWS/RTMA') NOAA/NWS 2011-01-01 2024-12-16 -130.17, 20.15, -60.81, 52.91 False climate, cloud, geophysical, humidity, noaa, nws, precipitation, pressure, rtma, surface, temperature, visibility, weather, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NWS_RTMA.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NWS_RTMA proprietary +NOAA/NWS/RTMA RTMA: Real-Time Mesoscale Analysis image_collection ee.ImageCollection('NOAA/NWS/RTMA') NOAA/NWS 2011-01-01 2024-12-17 -130.17, 20.15, -60.81, 52.91 False climate, cloud, geophysical, humidity, noaa, nws, precipitation, pressure, rtma, surface, temperature, visibility, weather, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NWS_RTMA.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NWS_RTMA proprietary NOAA/PERSIANN-CDR PERSIANN-CDR: Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record image_collection ee.ImageCollection('NOAA/PERSIANN-CDR') NOAA NCDC 1983-01-01 2024-03-31 -180, -60, 180, 60 False cdr, climate, geophysical, ncdc, noaa, persiann, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_PERSIANN-CDR.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_PERSIANN-CDR proprietary NOAA/VIIRS/001/VNP09GA VNP09GA: VIIRS Surface Reflectance Daily 500m and 1km [deprecated] image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP09GA') NASA LP DAAC at the USGS EROS Center 2012-01-19 2024-06-16 -180, -90, 180, 90 True daily, nasa, noaa, npp, reflectance, sr, viirs, vnp09ga https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP09GA.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP09GA proprietary NOAA/VIIRS/001/VNP09H1 VNP09H1: VIIRS Surface Reflectance 8-Day L3 Global 500m [deprecated] image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP09H1') NASA LP DAAC at the USGS EROS Center 2012-01-19 2024-06-09 -180, -90, 180, 90 True daily, nasa, noaa, npp, reflectance, sr, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP09H1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP09H1 proprietary @@ -659,16 +659,16 @@ NOAA/VIIRS/001/VNP21A1N VNP21A1N.001: Night Land Surface Temperature and Emissiv NOAA/VIIRS/001/VNP22Q2 VNP22Q2: Land Surface Phenology Yearly L3 Global 500m SIN Grid image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP22Q2') NASA LP DAAC at the USGS EROS Center 2013-01-01 2022-01-01 -180, -90, 180, 90 False land, nasa, ndvi, noaa, npp, onset_greenness, phenology, surface, vegetation, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP22Q2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP22Q2 proprietary NOAA/VIIRS/001/VNP43IA1 VNP43IA1: BRDF/Albedo Model Parameters Daily L3 Global 500m SIN Grid image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP43IA1') NASA LP DAAC at the USGS EROS Center 2012-01-17 2024-06-09 -180, -90, 180, 90 False land, nasa, noaa, surface, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP43IA1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP43IA1 proprietary NOAA/VIIRS/001/VNP43IA2 VNP43IA2: BRDF/Albedo Quality Daily L3 Global 500m SIN Grid image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP43IA2') NASA LP DAAC at the USGS EROS Center 2012-01-17 2024-06-09 -180, -90, 180, 90 False land, nasa, noaa, surface, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP43IA2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP43IA2 proprietary -NOAA/VIIRS/001/VNP46A1 VNP46A1: VIIRS Daily Gridded Day Night Band 500m Linear Lat Lon Grid Night image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP46A1') NASA LAADS DAAC 2012-01-19 2024-12-08 -180, -90, 180, 90 False daily, dnb, nasa, noaa, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP46A1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP46A1 proprietary -NOAA/VIIRS/001/VNP46A2 VNP46A2: VIIRS Lunar Gap-Filled BRDF Nighttime Lights Daily L3 Global 500m image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP46A2') NASA LAADS DAAC 2012-01-19 2024-12-01 -180, -90, 180, 90 False brdf, daily, nasa, noaa, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP46A2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP46A2 proprietary +NOAA/VIIRS/001/VNP46A1 VNP46A1: VIIRS Daily Gridded Day Night Band 500m Linear Lat Lon Grid Night image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP46A1') NASA LAADS DAAC 2012-01-19 2024-12-15 -180, -90, 180, 90 False daily, dnb, nasa, noaa, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP46A1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP46A1 proprietary +NOAA/VIIRS/001/VNP46A2 VNP46A2: VIIRS Lunar Gap-Filled BRDF Nighttime Lights Daily L3 Global 500m image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP46A2') NASA LAADS DAAC 2012-01-19 2024-12-03 -180, -90, 180, 90 False brdf, daily, nasa, noaa, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP46A2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP46A2 proprietary NOAA/VIIRS/001/VNP64A1 VNP64A1: Burned Area Monthly L4 Global 500m SIN Grid image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP64A1') NASA LP DAAC at the USGS EROS Center 2014-01-01 2019-01-01 -180, -90, 180, 90 False burn, change_detection, land, nasa, noaa, surface, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP64A1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP64A1 proprietary NOAA/VIIRS/DNB/ANNUAL_V21 VIIRS Nighttime Day/Night Annual Band Composites V2.1 image_collection ee.ImageCollection('NOAA/VIIRS/DNB/ANNUAL_V21') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 2012-04-01 2021-01-01 -180, -65, 180, 75 False annual, dnb, eog, lights, nighttime, noaa, viirs, visible https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_DNB_ANNUAL_V21.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_ANNUAL_V21 proprietary NOAA/VIIRS/DNB/ANNUAL_V22 VIIRS Nighttime Day/Night Annual Band Composites V2.2 image_collection ee.ImageCollection('NOAA/VIIRS/DNB/ANNUAL_V22') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 2012-04-01 2023-01-01 -180, -65, 180, 75 False annual, dnb, eog, lights, nighttime, noaa, viirs, visible https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_DNB_ANNUAL_V22.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_ANNUAL_V22 proprietary -NOAA/VIIRS/DNB/MONTHLY_V1/VCMCFG VIIRS Nighttime Day/Night Band Composites Version 1 image_collection ee.ImageCollection('NOAA/VIIRS/DNB/MONTHLY_V1/VCMCFG') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 2012-04-01 2024-07-01 -180, -65, 180, 75 False dnb, eog, lights, monthly, nighttime, noaa, viirs, visible https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_DNB_MONTHLY_V1_VCMCFG.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMCFG proprietary -NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG VIIRS Stray Light Corrected Nighttime Day/Night Band Composites Version 1 image_collection ee.ImageCollection('NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 2014-01-01 2024-07-01 -180, -65, 180, 75 False dnb, eog, lights, monthly, nighttime, noaa, stray_light, viirs, visible https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG proprietary +NOAA/VIIRS/DNB/MONTHLY_V1/VCMCFG VIIRS Nighttime Day/Night Band Composites Version 1 image_collection ee.ImageCollection('NOAA/VIIRS/DNB/MONTHLY_V1/VCMCFG') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 2012-04-01 2024-08-01 -180, -65, 180, 75 False dnb, eog, lights, monthly, nighttime, noaa, viirs, visible https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_DNB_MONTHLY_V1_VCMCFG.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMCFG proprietary +NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG VIIRS Stray Light Corrected Nighttime Day/Night Band Composites Version 1 image_collection ee.ImageCollection('NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 2014-01-01 2024-08-01 -180, -65, 180, 75 False dnb, eog, lights, monthly, nighttime, noaa, stray_light, viirs, visible https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG proprietary NRCan/CDEM Canadian Digital Elevation Model image_collection ee.ImageCollection('NRCan/CDEM') NRCan 1945-01-01 2011-01-01 -142, 41, -52, 84 False canada, cdem, dem, elevation, geophysical, nrcan, topography https://storage.googleapis.com/earthengine-stac/catalog/NRCan/NRCan_CDEM.json https://developers.google.com/earth-engine/datasets/catalog/NRCan_CDEM OGL-Canada-2.0 Netherlands/Beeldmateriaal/LUCHTFOTO_RGB Netherlands orthophotos image_collection ee.ImageCollection('Netherlands/Beeldmateriaal/LUCHTFOTO_RGB') Beeldmateriaal Nederland 2021-01-01 2022-12-31 3.2, 50.75, 7.22, 53.7 False orthophoto, rgb, netherlands https://storage.googleapis.com/earthengine-stac/catalog/Netherlands/Netherlands_Beeldmateriaal_LUCHTFOTO_RGB.json https://developers.google.com/earth-engine/datasets/catalog/Netherlands_Beeldmateriaal_LUCHTFOTO_RGB CC-BY-4.0 -OREGONSTATE/PRISM/AN81d PRISM Daily Spatial Climate Dataset AN81d image_collection ee.ImageCollection('OREGONSTATE/PRISM/AN81d') PRISM / OREGONSTATE 1981-01-01 2024-12-13 -125, 24, -66, 50 False climate, daily, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather https://storage.googleapis.com/earthengine-stac/catalog/OREGONSTATE/OREGONSTATE_PRISM_AN81d.json https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_AN81d proprietary +OREGONSTATE/PRISM/AN81d PRISM Daily Spatial Climate Dataset AN81d image_collection ee.ImageCollection('OREGONSTATE/PRISM/AN81d') PRISM / OREGONSTATE 1981-01-01 2024-12-14 -125, 24, -66, 50 False climate, daily, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather https://storage.googleapis.com/earthengine-stac/catalog/OREGONSTATE/OREGONSTATE_PRISM_AN81d.json https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_AN81d proprietary OREGONSTATE/PRISM/AN81m PRISM Monthly Spatial Climate Dataset AN81m image_collection ee.ImageCollection('OREGONSTATE/PRISM/AN81m') PRISM / OREGONSTATE 1895-01-01 2024-11-01 -125, 24, -66, 50 False climate, geophysical, monthly, oregonstate, precipitation, pressure, prism, temperature, vapor, weather https://storage.googleapis.com/earthengine-stac/catalog/OREGONSTATE/OREGONSTATE_PRISM_AN81m.json https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_AN81m proprietary OREGONSTATE/PRISM/Norm81m PRISM Long-Term Average Climate Dataset Norm81m [deprecated] image_collection ee.ImageCollection('OREGONSTATE/PRISM/Norm81m') PRISM / OREGONSTATE 1981-01-01 2010-12-31 -125, 24, -66, 50 True 30_year, climate, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather https://storage.googleapis.com/earthengine-stac/catalog/OREGONSTATE/OREGONSTATE_PRISM_Norm81m.json https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_Norm81m proprietary OREGONSTATE/PRISM/Norm91m PRISM Long-Term Average Climate Dataset Norm91m image_collection ee.ImageCollection('OREGONSTATE/PRISM/Norm91m') PRISM / OREGONSTATE 1991-01-01 2020-12-31 -125, 24, -66, 50 False 30_year, climate, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather https://storage.googleapis.com/earthengine-stac/catalog/OREGONSTATE/OREGONSTATE_PRISM_Norm91m.json https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_Norm91m proprietary @@ -738,7 +738,7 @@ TUBerlin/BigEarthNet/v1 TUBerlin/BigEarthNet/v1 image_collection ee.ImageCollect Tsinghua/DESS/ChinaTerraceMap/v1 DESS China Terrace Map v1 image ee.Image('Tsinghua/DESS/ChinaTerraceMap/v1') Department of Earth System Science, Tsinghua University (DESS, THU) 2018-01-01 2019-01-01 70, 0, 140, 60 False agriculture, china, dess, landcover, landuse, terrace, tsinghua https://storage.googleapis.com/earthengine-stac/catalog/Tsinghua/Tsinghua_DESS_ChinaTerraceMap_v1.json https://developers.google.com/earth-engine/datasets/catalog/Tsinghua_DESS_ChinaTerraceMap_v1 CC-BY-4.0 Tsinghua/FROM-GLC/GAIA/v10 Tsinghua FROM-GLC Year of Change to Impervious Surface image ee.Image('Tsinghua/FROM-GLC/GAIA/v10') Tsinghua University 1985-01-01 2018-12-31 -180, -90, 180, 90 False built, development, impervious, tsinghua, urban https://storage.googleapis.com/earthengine-stac/catalog/Tsinghua/Tsinghua_FROM-GLC_GAIA_v10.json https://developers.google.com/earth-engine/datasets/catalog/Tsinghua_FROM-GLC_GAIA_v10 CC-BY-4.0 UCSB-CHG/CHIRPS/DAILY CHIRPS Daily: Climate Hazards Center InfraRed Precipitation With Station Data (Version 2.0 Final) image_collection ee.ImageCollection('UCSB-CHG/CHIRPS/DAILY') UCSB/CHG 1981-01-01 2024-10-31 -180, -50, 180, 50 False chg, climate, geophysical, precipitation, ucsb, weather https://storage.googleapis.com/earthengine-stac/catalog/UCSB-CHG/UCSB-CHG_CHIRPS_DAILY.json https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_DAILY proprietary -UCSB-CHG/CHIRPS/PENTAD CHIRPS Pentad: Climate Hazards Center InfraRed Precipitation With Station Data (Version 2.0 Final) image_collection ee.ImageCollection('UCSB-CHG/CHIRPS/PENTAD') UCSB/CHG 1981-01-01 2024-10-26 -180, -50, 180, 50 False chg, climate, geophysical, precipitation, ucsb, weather https://storage.googleapis.com/earthengine-stac/catalog/UCSB-CHG/UCSB-CHG_CHIRPS_PENTAD.json https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_PENTAD proprietary +UCSB-CHG/CHIRPS/PENTAD CHIRPS Pentad: Climate Hazards Center InfraRed Precipitation With Station Data (Version 2.0 Final) image_collection ee.ImageCollection('UCSB-CHG/CHIRPS/PENTAD') UCSB/CHG 1981-01-01 2024-11-26 -180, -50, 180, 50 False chg, climate, geophysical, precipitation, ucsb, weather https://storage.googleapis.com/earthengine-stac/catalog/UCSB-CHG/UCSB-CHG_CHIRPS_PENTAD.json https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_PENTAD proprietary UCSB-CHG/CHIRTS/DAILY CHIRTS-daily: Climate Hazards Center InfraRed Temperature with Stations daily temperature data product image_collection ee.ImageCollection('UCSB-CHG/CHIRTS/DAILY') UCSB/CHG 1983-01-01 2016-12-31 -180, -60, 180, 70 False chg, climate, daily, era5, geophysical, reanalysis, temperature, ucsb, wind https://storage.googleapis.com/earthengine-stac/catalog/UCSB-CHG/UCSB-CHG_CHIRTS_DAILY.json https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRTS_DAILY CC0-1.0 UK/EA/ENGLAND_1M_TERRAIN/2022 England 1m Composite DTM/DSM (Environment Agency) image ee.Image('UK/EA/ENGLAND_1M_TERRAIN/2022') UK Environment Agency 2000-06-06 2022-04-02 -180, -90, 180, 90 False lidar, elevation, dem https://storage.googleapis.com/earthengine-stac/catalog/UK/UK_EA_ENGLAND_1M_TERRAIN_2022.json https://developers.google.com/earth-engine/datasets/catalog/UK_EA_ENGLAND_1M_TERRAIN_2022 proprietary UMD/GLAD/PRIMARY_HUMID_TROPICAL_FORESTS/v1 Primary Humid Tropical Forests image_collection ee.ImageCollection('UMD/GLAD/PRIMARY_HUMID_TROPICAL_FORESTS/v1') UMD/GLAD 2001-01-01 2002-01-01 -180, -90, 180, 90 False forest, glad, global, landsat_derived, umd https://storage.googleapis.com/earthengine-stac/catalog/UMD/UMD_GLAD_PRIMARY_HUMID_TROPICAL_FORESTS_v1.json https://developers.google.com/earth-engine/datasets/catalog/UMD_GLAD_PRIMARY_HUMID_TROPICAL_FORESTS_v1 proprietary @@ -820,7 +820,7 @@ USGS/WBD/2017/HUC06 HUC06: USGS Watershed Boundary Dataset of Basins table ee.Fe USGS/WBD/2017/HUC08 HUC08: USGS Watershed Boundary Dataset of Subbasins table ee.FeatureCollection('USGS/WBD/2017/HUC08') United States Geological Survey 2017-04-22 2017-04-23 -180, -14.69, 180, 71.567 False hydrology, usgs, water, watershed, wbd https://storage.googleapis.com/earthengine-stac/catalog/USGS/USGS_WBD_2017_HUC08.json https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC08 proprietary USGS/WBD/2017/HUC10 HUC10: USGS Watershed Boundary Dataset of Watersheds table ee.FeatureCollection('USGS/WBD/2017/HUC10') United States Geological Survey 2017-04-22 2017-04-23 -180, -14.69, 180, 71.567 False hydrology, usgs, water, watershed, wbd https://storage.googleapis.com/earthengine-stac/catalog/USGS/USGS_WBD_2017_HUC10.json https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC10 proprietary USGS/WBD/2017/HUC12 HUC12: USGS Watershed Boundary Dataset of Subwatersheds table ee.FeatureCollection('USGS/WBD/2017/HUC12') United States Geological Survey 2017-04-22 2017-04-23 -180, -14.69, 180, 71.567 False hydrology, usgs, water, watershed, wbd https://storage.googleapis.com/earthengine-stac/catalog/USGS/USGS_WBD_2017_HUC12.json https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC12 proprietary -UTOKYO/WTLAB/KBDI/v1 KBDI: Keetch-Byram Drought Index image_collection ee.ImageCollection('UTOKYO/WTLAB/KBDI/v1') Institute of Industrial Science, The University of Tokyo, Japan 2007-01-01 2024-12-15 60, -60, 180, 60 False drought, kbdi, lst_derived, rainfall, utokyo, wtlab https://storage.googleapis.com/earthengine-stac/catalog/UTOKYO/UTOKYO_WTLAB_KBDI_v1.json https://developers.google.com/earth-engine/datasets/catalog/UTOKYO_WTLAB_KBDI_v1 CC-BY-4.0 +UTOKYO/WTLAB/KBDI/v1 KBDI: Keetch-Byram Drought Index image_collection ee.ImageCollection('UTOKYO/WTLAB/KBDI/v1') Institute of Industrial Science, The University of Tokyo, Japan 2007-01-01 2024-12-16 60, -60, 180, 60 False drought, kbdi, lst_derived, rainfall, utokyo, wtlab https://storage.googleapis.com/earthengine-stac/catalog/UTOKYO/UTOKYO_WTLAB_KBDI_v1.json https://developers.google.com/earth-engine/datasets/catalog/UTOKYO_WTLAB_KBDI_v1 CC-BY-4.0 VITO/PROBAV/C1/S1_TOC_100M PROBA-V C1 Top Of Canopy Daily Synthesis 100m image_collection ee.ImageCollection('VITO/PROBAV/C1/S1_TOC_100M') Vito / ESA 2013-10-17 2021-10-31 -180, -90, 180, 90 False esa, multispectral, nir, proba, probav, swir, vito https://storage.googleapis.com/earthengine-stac/catalog/VITO/VITO_PROBAV_C1_S1_TOC_100M.json https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_C1_S1_TOC_100M proprietary VITO/PROBAV/C1/S1_TOC_333M PROBA-V C1 Top Of Canopy Daily Synthesis 333m image_collection ee.ImageCollection('VITO/PROBAV/C1/S1_TOC_333M') Vito / ESA 2013-10-17 2021-10-31 -180, -90, 180, 90 False esa, multispectral, nir, proba, probav, swir, vito https://storage.googleapis.com/earthengine-stac/catalog/VITO/VITO_PROBAV_C1_S1_TOC_333M.json https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_C1_S1_TOC_333M proprietary VITO/PROBAV/S1_TOC_100M PROBA-V C0 Top Of Canopy Daily Synthesis 100m [deprecated] image_collection ee.ImageCollection('VITO/PROBAV/S1_TOC_100M') Vito / ESA 2013-10-17 2016-12-14 -180, -90, 180, 90 True esa, multispectral, nir, proba, probav, swir, vito https://storage.googleapis.com/earthengine-stac/catalog/VITO/VITO_PROBAV_S1_TOC_100M.json https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_S1_TOC_100M proprietary @@ -894,7 +894,7 @@ projects/forestdatapartnership/assets/community_forests/ForestPersistence_2020 F projects/forestdatapartnership/assets/community_palm/20240312 Palm Probability v20240312 [deprecated] image_collection ee.ImageCollection('projects/forestdatapartnership/assets/community_palm/20240312') Produced by Google for the Forest Data Partnership 2020-01-01 2023-12-31 92.99, -11.94, 132.71, 11.71 True deforestation, eudr, biodiversity, conservation, crop, landuse, palm, plantation https://storage.googleapis.com/earthengine-stac/catalog/forestdatapartnership/projects_forestdatapartnership_assets_community_palm_20240312.json https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_community_palm_20240312 CC-BY-4.0 projects/forestdatapartnership/assets/palm/model_2024a Palm Probability model 2024a image_collection ee.ImageCollection('projects/forestdatapartnership/assets/palm/model_2024a') Produced by Google for the Forest Data Partnership 2020-01-01 2023-12-31 -180, -90, 180, 90 False eudr, biodiversity, conservation, crop, landuse, palm, plantation https://storage.googleapis.com/earthengine-stac/catalog/forestdatapartnership/projects_forestdatapartnership_assets_palm_model_2024a.json https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_palm_model_2024a CC-BY-NC-4.0 projects/forestdatapartnership/assets/rubber/model_2024a Rubber Tree Probability model 2024a image_collection ee.ImageCollection('projects/forestdatapartnership/assets/rubber/model_2024a') Produced by Google for the Forest Data Partnership 2020-01-01 2023-12-31 -180, -90, 180, 90 False eudr, biodiversity, conservation, crop, landuse, rubber, plantation, pre_review https://storage.googleapis.com/earthengine-stac/catalog/forestdatapartnership/projects_forestdatapartnership_assets_rubber_model_2024a.json https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_rubber_model_2024a CC-BY-NC-4.0 -projects/gcp-public-data-weathernext/assets/59572747_4_0 WeatherNext Graph Forecasts image_collection ee.ImageCollection('projects/gcp-public-data-weathernext/assets/59572747_4_0') Google 2020-01-01 2024-12-16 -180, -90, 180, 90 False weather, weathernext, forecast, temperature, precipitation, wind https://storage.googleapis.com/earthengine-stac/catalog/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_59572747_4_0.json https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_59572747_4_0 proprietary +projects/gcp-public-data-weathernext/assets/59572747_4_0 WeatherNext Graph Forecasts image_collection ee.ImageCollection('projects/gcp-public-data-weathernext/assets/59572747_4_0') Google 2020-01-01 2024-12-17 -180, -90, 180, 90 False weather, weathernext, forecast, temperature, precipitation, wind https://storage.googleapis.com/earthengine-stac/catalog/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_59572747_4_0.json https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_59572747_4_0 proprietary projects/geoscience-aus-cat/assets/NIDEM National Intertidal Digital Elevation Model 25m 1.0.0 image ee.Image('projects/geoscience-aus-cat/assets/NIDEM') Geoscience Australia 1986-08-16 2017-07-31 108.81, -44.41, 157.82, -9.13 False australia, ga, dem, landsat_derived https://storage.googleapis.com/earthengine-stac/catalog/geoscience-aus-cat/projects_geoscience-aus-cat_assets_NIDEM.json https://developers.google.com/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_NIDEM CC-BY-4.0 projects/geoscience-aus-cat/assets/ga_ls5t_nbart_gm_cyear_3 DEA Geometric Median and Median Absolute Deviation - Landsat 5 3.1.0 image_collection ee.ImageCollection('projects/geoscience-aus-cat/assets/ga_ls5t_nbart_gm_cyear_3') Geoscience Australia 1998-01-01 2012-01-01 108.81, -44.41, 157.82, -9.13 False australia, ga, landsat_derived https://storage.googleapis.com/earthengine-stac/catalog/geoscience-aus-cat/projects_geoscience-aus-cat_assets_ga_ls5t_nbart_gm_cyear_3.json https://developers.google.com/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls5t_nbart_gm_cyear_3 CC-BY-4.0 projects/geoscience-aus-cat/assets/ga_ls7e_nbart_gm_cyear_3 DEA Geometric Median and Median Absolute Deviation - Landsat 7 3.1.0 image_collection ee.ImageCollection('projects/geoscience-aus-cat/assets/ga_ls7e_nbart_gm_cyear_3') Geoscience Australia 2000-01-01 2021-01-01 108.81, -44.41, 157.82, -9.13 False australia, ga, landsat_derived https://storage.googleapis.com/earthengine-stac/catalog/geoscience-aus-cat/projects_geoscience-aus-cat_assets_ga_ls7e_nbart_gm_cyear_3.json https://developers.google.com/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls7e_nbart_gm_cyear_3 CC-BY-4.0 diff --git a/nasa_cmr_catalog.json b/nasa_cmr_catalog.json index cf9a910..041a1c6 100644 --- a/nasa_cmr_catalog.json +++ b/nasa_cmr_catalog.json @@ -63579,7 +63579,7 @@ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1534582884-LPDAAC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1534582884-LPDAAC_ECS.html", "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/ECO1BATT_001", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BATT Version 1 data product provides both corrected and uncorrected attitude quaternions and spacecraft ephemeris data obtained from the ISS. The data are provided in 1 second intervals by the ISS, and each product file contains vectors from the duration of the orbit. The time elements are copied from the ISS raw data. The ECO1BATT Version 1 data product contains layers of corrected and uncorrected attitude quaternions, spacecraft ephemeris data including Earth-centered inertial (ECI) position and velocity, and associated time elements. ", + "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BATT Version 1 data product provides both corrected and uncorrected attitude quaternions and spacecraft ephemeris data obtained from the ISS. The data are provided in 1 second intervals by the ISS, and each product file contains vectors from the duration of the orbit. The time elements are copied from the ISS raw data. The ECO1BATT Version 1 data product contains layers of corrected and uncorrected attitude quaternions, spacecraft ephemeris data including Earth-centered inertial (ECI) position and velocity, and associated time elements. Known Issues -\tCannot perform spatial query on ECO1BATT in NASA Earthdata Search: ECO1BATT does not contain spatial attributes, so granules cannot be searched by geographic location. Users should search for ECO1BATT data products by orbit number instead. -\tData acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. -\tData acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. -\tData acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.", "license": "proprietary" }, { @@ -63592,7 +63592,7 @@ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1534584923-LPDAAC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1534584923-LPDAAC_ECS.html", "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/ECO1BGEO_001", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BGEO Version 1 data product provides the geolocation information for the radiance values retrieved in the ECO1BRAD Version 1 data product. The ECO1BGEO data product should be used to georeference the ECO1BRAD, ECO2CLD, ECO2LSTE, ECO3ANCQA, ECO3ETPTJPL, ECO4ESIPTJPL, and ECO4WUE data products. The geolocation processing corrects the ISS-reported ephemeris and attitude data by image matching with a global ortho-base derived from Landsat data, and then assigns latitude and longitude values to each of the Level 1 radiance pixels. When image matching is successful, the data are geolocated to better than 50 meter (m) accuracy. The ECO1BGEO data product is provided as swath data. The ECO1BGEO data product contains data layers for latitude and longitude values, solar and view geometry information, surface height, and the fraction of pixel on land versus water. ", + "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BGEO Version 1 data product provides the geolocation information for the radiance values retrieved in the ECO1BRAD Version 1 data product. The ECO1BGEO data product should be used to georeference the ECO1BRAD, ECO2CLD, ECO2LSTE, ECO3ANCQA, ECO3ETPTJPL, ECO4ESIPTJPL, and ECO4WUE data products. The geolocation processing corrects the ISS-reported ephemeris and attitude data by image matching with a global ortho-base derived from Landsat data, and then assigns latitude and longitude values to each of the Level 1 radiance pixels. When image matching is successful, the data are geolocated to better than 50 meter (m) accuracy. The ECO1BGEO data product is provided as swath data. The ECO1BGEO data product contains data layers for latitude and longitude values, solar and view geometry information, surface height, and the fraction of pixel on land versus water. Known Issues -\tGeolocation accuracy: In cases where scenes were not successfully matched with the ortho-base, the geolocation error is significantly larger, with the worst-case geolocation error for uncorrected data being at 7 kilometers (km). Within the metadata of the ECO1BGEO file, if the field \"L1GEOMetadata/OrbitCorrectionPerformed\" is \"True,\" the data was corrected, and geolocation accuracy should be better than 50 m. If this is \"False,\" then the data was processed without correcting the geolocation and will have up to 7 km geolocation error. -\tData acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. -\tData acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. -\tData acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.", "license": "proprietary" }, { @@ -63605,7 +63605,7 @@ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1545228916-LPDAAC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1545228916-LPDAAC_ECS.html", "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/ECO1BMAPRAD_001", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BMAPRAD Version 1 data product combines the at-sensor calibrated radiance values retrieved for the ECO1BRAD data product and the geolocation information provided in the ECO1BGEO data product to produce a geotagged, resampled radiance product. The ECO1BMAPRAD data product is produced as a map registered product that is in a rotated geographic projection with a spatial resolution of 70 meters (m). The ECO1BMAPRAD data product accounts for the overlap and variable pixel size in the ECO1BRAD data product. The ECO1BMAPRAD Version 1 data product contains data layers including the radiance values for the five thermal infrared (TIR) bands, digital number (DN) values for the shortwave infrared (SWIR) band, associated data quality indicators, latitude and longitude values, solar and view geometry information, and surface height. ", + "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BMAPRAD Version 1 data product combines the at-sensor calibrated radiance values retrieved for the ECO1BRAD data product and the geolocation information provided in the ECO1BGEO data product to produce a geotagged, resampled radiance product. The ECO1BMAPRAD data product is produced as a map registered product that is in a rotated geographic projection with a spatial resolution of 70 meters (m). The ECO1BMAPRAD data product accounts for the overlap and variable pixel size in the ECO1BRAD data product. The ECO1BMAPRAD Version 1 data product contains data layers including the radiance values for the five thermal infrared (TIR) bands, digital number (DN) values for the shortwave infrared (SWIR) band, associated data quality indicators, latitude and longitude values, solar and view geometry information, and surface height. Known Issues -\tData acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. -\tData acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. -\tResampled data: The data has been resampled, so users interested in working with data closest to that acquired by the instrument may want to work with the swath products. -\tMissing scan data: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see section 3.3.2 of the User Guide (https://lpdaac.usgs.gov/documents/1323/ECO1B_User_Guide_V1.pdf). -\tCold bias: ECOSTRESS Level-1 Radiance data shows high correlation with in-situ ground measurements (R2 = 0.99 in all bands). Currently, ECOSTRESS has a cold bias of approximately 0.7 Kelvin (K), which will be corrected through calibration in future data releases. -\tData acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.", "license": "proprietary" }, { @@ -63618,7 +63618,7 @@ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1534582789-LPDAAC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1534582789-LPDAAC_ECS.html", "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/ECO1BRAD_001", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BRAD Version 1 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 \u00b5m. Additionally, the digital numbers (DN) for the shortwave infrared (SWIR) band are provided. The TIR bands are spatially co-registered to produce a variable spatial resolution between 70 meters (m) to 90 m at the edge of the swath. The ECO1BRAD data product is provided as swath data and does not contain geolocation information. The corresponding ECO1BGEO data product is required to georeference the ECO1BRAD data product. The geographic coverage of acquisitions for the ECO1BRAD Version 1 data product extends to areas outside of those indicated on the coverage map. However, corresponding higher-level products over these areas are not available at this time. The ECO1BRAD Version 1 data product contains layers of radiance values for the five TIR bands, DN values for the SWIR band, associated data quality indicators, and ancillary data.", + "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BRAD Version 1 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 \u00b5m. Additionally, the digital numbers (DN) for the shortwave infrared (SWIR) band are provided. The TIR bands are spatially co-registered to produce a variable spatial resolution between 70 meters (m) to 90 m at the edge of the swath. The ECO1BRAD data product is provided as swath data and does not contain geolocation information. The corresponding ECO1BGEO data product is required to georeference the ECO1BRAD data product. The geographic coverage of acquisitions for the ECO1BRAD Version 1 data product extends to areas outside of those indicated on the coverage map. However, corresponding higher-level products over these areas are not available at this time. The ECO1BRAD Version 1 data product contains layers of radiance values for the five TIR bands, DN values for the SWIR band, associated data quality indicators, and ancillary data. Known Issues -\tCannot perform spatial query on ECO1BRAD in NASA Earthdata Search: ECO1BRAD does not contain spatial attributes, so granules cannot be searched by geographic location. Users should search for ECO1BRAD data products by orbit number instead. -\tData acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. -\tData acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. -\tMissing scan data/striping features: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see section 3.3.2 of the User Guide (https://lpdaac.usgs.gov/documents/1323/ECO1B_User_Guide_V1.pdf). -\tScan overlap: An overlap between ECOSTRESS scans results in a clear line overlap and repeating data. Additional information is available in section 3.2 of the User Guide (https://lpdaac.usgs.gov/documents/1323/ECO1B_User_Guide_V1.pdf). -\tScan flipping: Improvements to the visualization of the data to compensate for instrument orientation are discussed in section 3.4 of the User Guide (https://lpdaac.usgs.gov/documents/1323/ECO1B_User_Guide_V1.pdf). -\tCold bias: ECOSTRESS Level-1 Radiance data shows high correlation with in-situ ground measurements (R2 = 0.99 in all bands). Currently, ECOSTRESS has a cold bias of approximately 0.7 Kelvin (K), which will be corrected through calibration in future data releases. -\tData acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. ", "license": "proprietary" }, { @@ -86108,7 +86108,7 @@ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3278574317-GES_DISC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3278574317-GES_DISC.html", "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/GlobFireCarbon_1", - "description": "This dataset provides the Carbon Flux for Fires. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.", + "description": "This dataset provides carbon monoxide and carbon dioxide flux from fires constrained by satellite observations. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.", "license": "proprietary" }, { @@ -151267,19 +151267,6 @@ "description": "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.", "license": "proprietary" }, - { - "id": "OMAERUV_003", - "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT", - "catalog": "OMINRT STAC Catalog", - "state_date": "2004-07-15", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMAERUV_003", - "description": "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/ ", - "license": "proprietary" - }, { "id": "OMAERUV_003", "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC", @@ -151293,6 +151280,19 @@ "description": "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.", "license": "proprietary" }, + { + "id": "OMAERUV_003", + "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT", + "catalog": "OMINRT STAC Catalog", + "state_date": "2004-07-15", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMAERUV_003", + "description": "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/ ", + "license": "proprietary" + }, { "id": "OMAERUV_004", "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V004 (OMAERUV) at GES DISC", @@ -151410,19 +151410,6 @@ "description": "This Level-2G daily global gridded product OMCLDRRG is based on the pixel level OMI Level-2 CLDRR product OMCLDRR. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner. OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 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 OMCLDRRG data products are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes.", "license": "proprietary" }, - { - "id": "OMCLDRR_003", - "title": "OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 NRT", - "catalog": "OMINRT STAC Catalog", - "state_date": "2004-07-15", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMCLDRR_003", - "description": "The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR 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 OMCLDRR data product is about 9 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 OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. 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. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/", - "license": "proprietary" - }, { "id": "OMCLDRR_003", "title": "OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 (OMCLDRR) at GES DISC", @@ -151436,6 +151423,19 @@ "description": "The reprocessed Aura Ozone Monitoring Instrument (OMI) Version 003 Level 2 Cloud Data Product OMCLDRR is available to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. The OMCLDRR 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 OMCLDRR data product is about 9 Mbytes.", "license": "proprietary" }, + { + "id": "OMCLDRR_003", + "title": "OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 NRT", + "catalog": "OMINRT STAC Catalog", + "state_date": "2004-07-15", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMCLDRR_003", + "description": "The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR 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 OMCLDRR data product is about 9 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 OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. 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. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/", + "license": "proprietary" + }, { "id": "OMCLDRR_004", "title": "OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V004 (OMCLDRR) at GES DISC", @@ -152541,19 +152541,6 @@ "description": "This Level-2G daily global gridded product OMTO3G is based on the pixel level OMI Level-2 Total Ozone Product OMTO3. The OMTO3 product is from the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. The OMTO3G data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree global grids. It contains the data for all L2 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 OMTO3G data product contains almost all parameters that are contained in the OMTO3. For example, in addition to the total column ozone it also contains UV aerosol index, cloud fraction, cloud pressure, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The OMTO3G 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 OMTO3G data product is about 150 Mbytes.", "license": "proprietary" }, - { - "id": "OMTO3_003", - "title": "OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT", - "catalog": "OMINRT STAC Catalog", - "state_date": "2004-07-15", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMTO3_003", - "description": "The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. 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's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. 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 additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (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 extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 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 OMTO3 data product is about 35 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 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/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ .", - "license": "proprietary" - }, { "id": "OMTO3_003", "title": "OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC", @@ -152567,6 +152554,19 @@ "description": "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.", "license": "proprietary" }, + { + "id": "OMTO3_003", + "title": "OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT", + "catalog": "OMINRT STAC Catalog", + "state_date": "2004-07-15", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMTO3_003", + "description": "The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. 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's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. 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 additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (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 extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 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 OMTO3 data product is about 35 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 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/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ .", + "license": "proprietary" + }, { "id": "OMTO3_CPR_003", "title": "OMI/Aura Level 2 Ozone (O3) Total Column 1-Orbit Subset and Collocated Swath along CloudSat track 200-km wide at 13x24 km2 resolution", @@ -167052,26 +167052,26 @@ { "id": "SPL1CTB_006", "title": "SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V006", - "catalog": "NSIDC_CPRD STAC Catalog", + "catalog": "NSIDC_ECS STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663268-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663268-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL1CTB_006", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL1CTB_006", "description": "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.", "license": "proprietary" }, { "id": "SPL1CTB_006", "title": "SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V006", - "catalog": "NSIDC_ECS STAC Catalog", + "catalog": "NSIDC_CPRD STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL1CTB_006", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663268-NSIDC_CPRD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663268-NSIDC_CPRD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL1CTB_006", "description": "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.", "license": "proprietary" }, @@ -167091,26 +167091,26 @@ { "id": "SPL1CTB_E_004", "title": "SMAP Enhanced L1C Radiometer Half-Orbit 9 km EASE-Grid Brightness Temperatures V004", - "catalog": "NSIDC_CPRD STAC Catalog", + "catalog": "NSIDC_ECS STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663435-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663435-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL1CTB_E_004", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463717-NSIDC_ECS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463717-NSIDC_ECS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL1CTB_E_004", "description": "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.", "license": "proprietary" }, { "id": "SPL1CTB_E_004", "title": "SMAP Enhanced L1C Radiometer Half-Orbit 9 km EASE-Grid Brightness Temperatures V004", - "catalog": "NSIDC_ECS STAC Catalog", + "catalog": "NSIDC_CPRD STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463717-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463717-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL1CTB_E_004", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663435-NSIDC_CPRD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663435-NSIDC_CPRD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL1CTB_E_004", "description": "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.", "license": "proprietary" }, @@ -167234,26 +167234,26 @@ { "id": "SPL2SMAP_003", "title": "SMAP L2 Radar/Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V003", - "catalog": "NSIDC_CPRD STAC Catalog", + "catalog": "NSIDC_ECS STAC Catalog", "state_date": "2015-04-13", "end_date": "2015-07-07", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2830464428-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2830464428-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL2SMAP_003", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL2SMAP_003", "description": "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).", "license": "proprietary" }, { "id": "SPL2SMAP_003", "title": "SMAP L2 Radar/Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V003", - "catalog": "NSIDC_ECS STAC Catalog", + "catalog": "NSIDC_CPRD STAC Catalog", "state_date": "2015-04-13", "end_date": "2015-07-07", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL2SMAP_003", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2830464428-NSIDC_CPRD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2830464428-NSIDC_CPRD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL2SMAP_003", "description": "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).", "license": "proprietary" }, @@ -167481,78 +167481,78 @@ { "id": "SPL3FTP_E_004", "title": "SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V004", - "catalog": "NSIDC_CPRD STAC Catalog", + "catalog": "NSIDC_ECS STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3FTP_E_004", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3FTP_E_004", "description": "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.", "license": "proprietary" }, { "id": "SPL3FTP_E_004", "title": "SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V004", - "catalog": "NSIDC_ECS STAC Catalog", + "catalog": "NSIDC_CPRD STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3FTP_E_004", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3FTP_E_004", "description": "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.", "license": "proprietary" }, { "id": "SPL3SMAP_003", "title": "SMAP L3 Radar/Radiometer Global Daily 9 km EASE-Grid Soil Moisture V003", - "catalog": "NSIDC_CPRD STAC Catalog", + "catalog": "NSIDC_ECS STAC Catalog", "state_date": "2015-04-13", "end_date": "2015-07-07", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3SMAP_003", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3SMAP_003", "description": "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).", "license": "proprietary" }, { "id": "SPL3SMAP_003", "title": "SMAP L3 Radar/Radiometer Global Daily 9 km EASE-Grid Soil Moisture V003", - "catalog": "NSIDC_ECS STAC Catalog", + "catalog": "NSIDC_CPRD STAC Catalog", "state_date": "2015-04-13", "end_date": "2015-07-07", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3SMAP_003", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3SMAP_003", "description": "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).", "license": "proprietary" }, { "id": "SPL3SMA_003", "title": "SMAP L3 Radar Global Daily 3 km EASE-Grid Soil Moisture V003", - "catalog": "NSIDC_ECS STAC Catalog", + "catalog": "NSIDC_CPRD STAC Catalog", "state_date": "2015-04-13", "end_date": "2015-07-07", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303828-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303828-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3SMA_003", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2872766452-NSIDC_CPRD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2872766452-NSIDC_CPRD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3SMA_003", "description": "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).", "license": "proprietary" }, { "id": "SPL3SMA_003", "title": "SMAP L3 Radar Global Daily 3 km EASE-Grid Soil Moisture V003", - "catalog": "NSIDC_CPRD STAC Catalog", + "catalog": "NSIDC_ECS STAC Catalog", "state_date": "2015-04-13", "end_date": "2015-07-07", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2872766452-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2872766452-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3SMA_003", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303828-NSIDC_ECS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303828-NSIDC_ECS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3SMA_003", "description": "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).", "license": "proprietary" }, @@ -167572,26 +167572,26 @@ { "id": "SPL3SMP_009", "title": "SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture V009", - "catalog": "NSIDC_ECS STAC Catalog", + "catalog": "NSIDC_CPRD STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463935-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463935-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3SMP_009", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664585-NSIDC_CPRD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664585-NSIDC_CPRD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3SMP_009", "description": "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).", "license": "proprietary" }, { "id": "SPL3SMP_009", "title": "SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture V009", - "catalog": "NSIDC_CPRD STAC Catalog", + "catalog": "NSIDC_ECS STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664585-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664585-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3SMP_009", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463935-NSIDC_ECS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463935-NSIDC_ECS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3SMP_009", "description": "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).", "license": "proprietary" }, @@ -167663,26 +167663,26 @@ { "id": "SPL4SMAU_007", "title": "SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update V007", - "catalog": "NSIDC_ECS STAC Catalog", + "catalog": "NSIDC_CPRD STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2537927247-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2537927247-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL4SMAU_007", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4SMAU_007", "description": "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.", "license": "proprietary" }, { "id": "SPL4SMAU_007", "title": "SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update V007", - "catalog": "NSIDC_CPRD STAC Catalog", + "catalog": "NSIDC_ECS STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4SMAU_007", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2537927247-NSIDC_ECS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2537927247-NSIDC_ECS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL4SMAU_007", "description": "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.", "license": "proprietary" }, @@ -167715,26 +167715,26 @@ { "id": "SPL4SMLM_007", "title": "SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007", - "catalog": "NSIDC_CPRD STAC Catalog", + "catalog": "NSIDC_ECS STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4SMLM_007", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2537926833-NSIDC_ECS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2537926833-NSIDC_ECS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL4SMLM_007", "description": "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.", "license": "proprietary" }, { "id": "SPL4SMLM_007", "title": "SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007", - "catalog": "NSIDC_ECS STAC Catalog", + "catalog": "NSIDC_CPRD STAC Catalog", "state_date": "2015-03-31", "end_date": "", "bbox": "-180, -85.044, 180, 85.044", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2537926833-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2537926833-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL4SMLM_007", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4SMLM_007", "description": "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.", "license": "proprietary" }, @@ -183078,6 +183078,19 @@ "description": "Mixotrophic microorganisms that are capable of both photosynthetic and heterotrophic forms of metabolism are key contributors to primary productivity and organic carbon remineralization in the Southern Ocean. However, uncertainties in their grazing behavior and physiology prevent an accurate understanding of microbial food web dynamics and biogeochemical cycling in the Antarctic ecosystem. Polar mixotrophs have evolved to withstand extreme seasonality, including variable light, sea ice, temperature, and micronutrient concentrations. In particular, the Southern Ocean appears to be the only region of the world\u2019s ocean where the bioessential trace metals iron (Fe) and manganese (Mn) are low enough to inhibit photosynthetic growth. The molecular physiology of mixotrophs experiencing Fe and Mn growth limitation has not yet been examined, and we lack an understanding of how seasonal changes in the availability of these micronutrients influence mixotrophic growth dynamics. We aim to examine whether grazing affords mixotrophs an ecological advantage in the Fe and Mn-deficient Southern Ocean, and to characterize the shifts in metabolic processes that occur during transitions in micronutrient conditions. Culture studies will directly measure growth responses, grazing behavior, and changes in elemental stoichiometry in response to Fe and Mn limitation. Transcriptomic analyses will reveal the metabolic underpinnings of trophic behavior and micronutrient stress responses, with implications for key biogeochemical processes such as carbon fixation, remineralization, and nutrient cycling. ", "license": "proprietary" }, + { + "id": "USAP-2324998_1", + "title": "ANT LIA: Collaborative Research: Evolutionary Patterns and Mechanisms of Trait Diversification in the Antarctic Notothenioid Radiation", + "catalog": "AMD_USAPDC STAC Catalog", + "state_date": "2022-10-01", + "end_date": "2025-01-31", + "bbox": "-180, -90, 180, -60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3333666817-AMD_USAPDC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3333666817-AMD_USAPDC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections/USAP-2324998_1", + "description": "Part I: Nontechnical description The ecologically important notothenioid fish of the Southern Ocean surrounding Antarctica will be studied to address questions central to polar, evolutionary, and adaptational biology. The rapid diversification of the notothenioids into >120 species following a period of Antarctic glaciation and cooling of the Southern Ocean is thought to have been facilitated by key evolutionary innovations, including antifreeze glycoproteins to prevent freezing and bone reduction to increase buoyancy. In this project, a large dataset of genomic sequences will be used to evaluate the genetic mechanisms that underlie the broad pattern of novel trait evolution in these fish, including traits relevant to human diseases (e.g., bone density, renal function, and anemia). The team will develop new STEM-based research and teaching modules for undergraduate education at Northeastern University. The work will provide specific research training to scholars at all levels, including a post-doctoral researcher, a graduate student, undergraduate students, and high school students. The team will also contribute to public outreach, including, in part, the develop of teaching videos in molecular evolutionary biology and accompanying educational supplements. Part II: Technical description The researchers will leverage their comprehensive notothenioid phylogenomic dataset comprising >250,000 protein-coding exons and conserved non-coding elements across 44 ingroup and 2 outgroup species to analyze the genetic origins of three iconic notothenioid traits: (1) loss of erythrocytes by the icefish clade in a cold, stable and highly-oxygenated marine environment. (2) reduction in bone mass and retention of juvenile skeletal characteristics as buoyancy mechanisms to facilitate foraging. And (3) loss of kidney glomeruli to retain energetically expensive antifreeze glycoproteins. The team will first track patterns of change in erythroid-related genes throughout the notothenioid phylogeny. They will then examine whether repetitive evolution of a pedomorphic skeleton in notothenioids is based on parallel or divergent evolution of genetic regulators of heterochrony. Third, they will determine whether there is mutational bias in the mechanisms of loss and re-emergence of kidney glomeruli. Finally, identified genetic mechanisms of evolutionary change will be validated by experimental testing using functional genomic strategies in the zebrafish model system.", + "license": "proprietary" + }, { "id": "USAP-9615281_1", "title": "Air-Ground Study of Tectonics at the Boundary Between the Eastern Ross Embayment and Western Marie Byrd Land, Antarctica: Basement Geology and Structure", diff --git a/nasa_cmr_catalog.tsv b/nasa_cmr_catalog.tsv index 06e6ed9..d8d9a71 100644 --- a/nasa_cmr_catalog.tsv +++ b/nasa_cmr_catalog.tsv @@ -4892,10 +4892,10 @@ ECMWF_DEMETER Development of a European Multimodel Ensemble system for seasonal ECMWF_OPERATIONAL_WAVE European Centre for Medium-Range Weather Forecasts (ECMWF) Operational Wave Data Sets CEOS_EXTRA STAC Catalog 1992-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2230056995-CEOS_EXTRA.umm_json These data sets contain data at the resolution of the data assimilation and forecast system in operational use at ECMWF. Since the resolution and internal representation of the archive may vary according to changes in ECMWF's operational practice, data services associated with these data sets include the provision of interpolation to requested resolutions and representation forms. Four data sets are separately supported: Analysis - Global wave analysis - Mediterranean wave analysis Forecast - Global wave forecast - Mediterranean wave forecast Access the ECMWF Wave Data Sets: http://apps.ecmwf.int/archive-catalogue/?class=od proprietary ECMWF_OPER_EPS European Centre fro Medium-Range Weather Forecasts (ECMWF) Ensemble Prediction System (EPS) Data Sets CEOS_EXTRA STAC Catalog 1994-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2230056988-CEOS_EXTRA.umm_json These data sets contain data at the resolution of the ensemble prediction forecast system in operational use at ECMWF. Since the resolution and internal representation of the archive may vary according to changes in ECMWF's operational practice, data services associated with these data sets include the provision of interpolation to requested resolutions and representation forms. Five data sets are separately supported: - Control Forecast + Surface ensemble + Pressure level ensemble + Model level ensemble + Wave model ensemble - Perturbed Forecast + Surface ensemble perturbed forecasts + Pressure level ensemble perturbed forecasts + Wave model ensemble [Summary Extracted from the ECMWF home page] proprietary ECMWF_WCRP_TOGA European Centre for Medium-Range Weather Forecasts (ECMWF)/World Climate Research Program (WCRP) level III-A Global Atmospheric (TOGA) Data Sets CEOS_EXTRA STAC Catalog 1985-01-01 -180, -20, 180, 20 https://cmr.earthdata.nasa.gov/search/concepts/C2230056982-CEOS_EXTRA.umm_json ECMWF created and maintains an archive of level III-A atmospheric data in support of projects associated with the World Climate Research Program (WCRP). This archive is directly interpolated from the ECMWF operational, full resolution, surface and pressure level data. It is accommodated the 10 year period beginning 1 January 1985, fulfilling ECMWF's role as a Tropical Ocean and Global Atmosphere (TOGA) Level III Atmospheric Data Centre. The Level III-A archive is subdivided into three classes of data sets: * Basic Level III * Supplementary Fields * Extension The data sets are based on quantities analyzed or computed within the ECMWF data assimilation scheme or from forecasts based on these analyses. The Basic Data Set contain selected analysed values in a compact form at a resolution of 2.5 degree x 2.5degree. They are particularly suitable for users with limited data processing resources. Derived quantities (fluxes, etc.) are not included, but can in principle be calculated from the data provided in the data sets. The Supplementary Fields Data Set contains additional surface data, fluxes and net radiation data derived from short-range forecasts used as first-guess data for the analyses. Most of the fields in this data set contain values accumulated over the first 6 (or 12) hours of the forecast. The exceptions, total cloud cover fields, contain instantaneous 6 (or 12) hour forecast values. This is a subset of the operational first-guess surface data. The Extension Data Set contains additional surface data, fluxes, net radiation data and precipitation derived from 24-hour forecast values. All the fields in this data set contain values accumulated between time step 12 and time step 36 of the forecast. The archive is currently maintained using the WMO FM 92-IX Ext GRIB (grid in binary) form of data representation, with ECMWF local versions of GRIB Table 2. All fields of data are global within the archive. A full extraction service is supported, enabling users to obtain sub-areas of data and data at various resolutions on regular Gaussian or latitude/longitude grids, or as spherical harmonics with selected triangular truncation. All extracted data are delivered using the GRIB representation. [Summary Extracted from the ECMWF home page] proprietary -ECO1BATT_001 ECOSTRESS Attitude Daily L1B Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1534582884-LPDAAC_ECS.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BATT Version 1 data product provides both corrected and uncorrected attitude quaternions and spacecraft ephemeris data obtained from the ISS. The data are provided in 1 second intervals by the ISS, and each product file contains vectors from the duration of the orbit. The time elements are copied from the ISS raw data. The ECO1BATT Version 1 data product contains layers of corrected and uncorrected attitude quaternions, spacecraft ephemeris data including Earth-centered inertial (ECI) position and velocity, and associated time elements. proprietary -ECO1BGEO_001 ECOSTRESS Geolocation Daily L1B Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1534584923-LPDAAC_ECS.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BGEO Version 1 data product provides the geolocation information for the radiance values retrieved in the ECO1BRAD Version 1 data product. The ECO1BGEO data product should be used to georeference the ECO1BRAD, ECO2CLD, ECO2LSTE, ECO3ANCQA, ECO3ETPTJPL, ECO4ESIPTJPL, and ECO4WUE data products. The geolocation processing corrects the ISS-reported ephemeris and attitude data by image matching with a global ortho-base derived from Landsat data, and then assigns latitude and longitude values to each of the Level 1 radiance pixels. When image matching is successful, the data are geolocated to better than 50 meter (m) accuracy. The ECO1BGEO data product is provided as swath data. The ECO1BGEO data product contains data layers for latitude and longitude values, solar and view geometry information, surface height, and the fraction of pixel on land versus water. proprietary -ECO1BMAPRAD_001 ECOSTRESS Resampled Radiance Daily L1B Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1545228916-LPDAAC_ECS.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BMAPRAD Version 1 data product combines the at-sensor calibrated radiance values retrieved for the ECO1BRAD data product and the geolocation information provided in the ECO1BGEO data product to produce a geotagged, resampled radiance product. The ECO1BMAPRAD data product is produced as a map registered product that is in a rotated geographic projection with a spatial resolution of 70 meters (m). The ECO1BMAPRAD data product accounts for the overlap and variable pixel size in the ECO1BRAD data product. The ECO1BMAPRAD Version 1 data product contains data layers including the radiance values for the five thermal infrared (TIR) bands, digital number (DN) values for the shortwave infrared (SWIR) band, associated data quality indicators, latitude and longitude values, solar and view geometry information, and surface height. proprietary -ECO1BRAD_001 ECOSTRESS At-sensor Calibrated Radiance Daily L1B Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1534582789-LPDAAC_ECS.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BRAD Version 1 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 µm. Additionally, the digital numbers (DN) for the shortwave infrared (SWIR) band are provided. The TIR bands are spatially co-registered to produce a variable spatial resolution between 70 meters (m) to 90 m at the edge of the swath. The ECO1BRAD data product is provided as swath data and does not contain geolocation information. The corresponding ECO1BGEO data product is required to georeference the ECO1BRAD data product. The geographic coverage of acquisitions for the ECO1BRAD Version 1 data product extends to areas outside of those indicated on the coverage map. However, corresponding higher-level products over these areas are not available at this time. The ECO1BRAD Version 1 data product contains layers of radiance values for the five TIR bands, DN values for the SWIR band, associated data quality indicators, and ancillary data. proprietary +ECO1BATT_001 ECOSTRESS Attitude Daily L1B Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1534582884-LPDAAC_ECS.umm_json "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BATT Version 1 data product provides both corrected and uncorrected attitude quaternions and spacecraft ephemeris data obtained from the ISS. The data are provided in 1 second intervals by the ISS, and each product file contains vectors from the duration of the orbit. The time elements are copied from the ISS raw data. The ECO1BATT Version 1 data product contains layers of corrected and uncorrected attitude quaternions, spacecraft ephemeris data including Earth-centered inertial (ECI) position and velocity, and associated time elements. Known Issues - Cannot perform spatial query on ECO1BATT in NASA Earthdata Search: ECO1BATT does not contain spatial attributes, so granules cannot be searched by geographic location. Users should search for ECO1BATT data products by orbit number instead. - Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. - Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. - Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods." proprietary +ECO1BGEO_001 ECOSTRESS Geolocation Daily L1B Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1534584923-LPDAAC_ECS.umm_json "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BGEO Version 1 data product provides the geolocation information for the radiance values retrieved in the ECO1BRAD Version 1 data product. The ECO1BGEO data product should be used to georeference the ECO1BRAD, ECO2CLD, ECO2LSTE, ECO3ANCQA, ECO3ETPTJPL, ECO4ESIPTJPL, and ECO4WUE data products. The geolocation processing corrects the ISS-reported ephemeris and attitude data by image matching with a global ortho-base derived from Landsat data, and then assigns latitude and longitude values to each of the Level 1 radiance pixels. When image matching is successful, the data are geolocated to better than 50 meter (m) accuracy. The ECO1BGEO data product is provided as swath data. The ECO1BGEO data product contains data layers for latitude and longitude values, solar and view geometry information, surface height, and the fraction of pixel on land versus water. Known Issues - Geolocation accuracy: In cases where scenes were not successfully matched with the ortho-base, the geolocation error is significantly larger, with the worst-case geolocation error for uncorrected data being at 7 kilometers (km). Within the metadata of the ECO1BGEO file, if the field ""L1GEOMetadata/OrbitCorrectionPerformed"" is ""True,"" the data was corrected, and geolocation accuracy should be better than 50 m. If this is ""False,"" then the data was processed without correcting the geolocation and will have up to 7 km geolocation error. - Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. - Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. - Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods." proprietary +ECO1BMAPRAD_001 ECOSTRESS Resampled Radiance Daily L1B Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1545228916-LPDAAC_ECS.umm_json "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BMAPRAD Version 1 data product combines the at-sensor calibrated radiance values retrieved for the ECO1BRAD data product and the geolocation information provided in the ECO1BGEO data product to produce a geotagged, resampled radiance product. The ECO1BMAPRAD data product is produced as a map registered product that is in a rotated geographic projection with a spatial resolution of 70 meters (m). The ECO1BMAPRAD data product accounts for the overlap and variable pixel size in the ECO1BRAD data product. The ECO1BMAPRAD Version 1 data product contains data layers including the radiance values for the five thermal infrared (TIR) bands, digital number (DN) values for the shortwave infrared (SWIR) band, associated data quality indicators, latitude and longitude values, solar and view geometry information, and surface height. Known Issues - Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. - Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. - Resampled data: The data has been resampled, so users interested in working with data closest to that acquired by the instrument may want to work with the swath products. - Missing scan data: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see section 3.3.2 of the User Guide (https://lpdaac.usgs.gov/documents/1323/ECO1B_User_Guide_V1.pdf). - Cold bias: ECOSTRESS Level-1 Radiance data shows high correlation with in-situ ground measurements (R2 = 0.99 in all bands). Currently, ECOSTRESS has a cold bias of approximately 0.7 Kelvin (K), which will be corrected through calibration in future data releases. - Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods." proprietary +ECO1BRAD_001 ECOSTRESS At-sensor Calibrated Radiance Daily L1B Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1534582789-LPDAAC_ECS.umm_json "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO1BRAD Version 1 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 µm. Additionally, the digital numbers (DN) for the shortwave infrared (SWIR) band are provided. The TIR bands are spatially co-registered to produce a variable spatial resolution between 70 meters (m) to 90 m at the edge of the swath. The ECO1BRAD data product is provided as swath data and does not contain geolocation information. The corresponding ECO1BGEO data product is required to georeference the ECO1BRAD data product. The geographic coverage of acquisitions for the ECO1BRAD Version 1 data product extends to areas outside of those indicated on the coverage map. However, corresponding higher-level products over these areas are not available at this time. The ECO1BRAD Version 1 data product contains layers of radiance values for the five TIR bands, DN values for the SWIR band, associated data quality indicators, and ancillary data. Known Issues - Cannot perform spatial query on ECO1BRAD in NASA Earthdata Search: ECO1BRAD does not contain spatial attributes, so granules cannot be searched by geographic location. Users should search for ECO1BRAD data products by orbit number instead. - Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. - Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. - Missing scan data/striping features: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see section 3.3.2 of the User Guide (https://lpdaac.usgs.gov/documents/1323/ECO1B_User_Guide_V1.pdf). - Scan overlap: An overlap between ECOSTRESS scans results in a clear line overlap and repeating data. Additional information is available in section 3.2 of the User Guide (https://lpdaac.usgs.gov/documents/1323/ECO1B_User_Guide_V1.pdf). - Scan flipping: Improvements to the visualization of the data to compensate for instrument orientation are discussed in section 3.4 of the User Guide (https://lpdaac.usgs.gov/documents/1323/ECO1B_User_Guide_V1.pdf). - Cold bias: ECOSTRESS Level-1 Radiance data shows high correlation with in-situ ground measurements (R2 = 0.99 in all bands). Currently, ECOSTRESS has a cold bias of approximately 0.7 Kelvin (K), which will be corrected through calibration in future data releases. - Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. " proprietary ECO2CLD_001 ECOSTRESS Cloud Mask Daily L2 Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1534730833-LPDAAC_ECS.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO2CLD Version 1 data product provides a cloud mask that can be used to determine cloud cover for the ECO1BRAD, ECO2LSTE, ECO3ETPTJPL, ECO4ESIPTJPL, and ECO4WUE data products. The ECOSTRESS Level 2 cloud product is derived using the five calibrated thermal bands in a multispectral cloud-conservative thresholding approach. The details of the algorithm are provided in the Algorithm Theoretical Basis Document (ATBD). The corresponding ECO1BGEO data product is required to georeference the ECO2CLD data product. The ECO2CLD Version 1 data product contains a single cloud mask layer. Information on how to interpret the bit fields in the cloud mask is provided in section 3.1 of the User Guide. proprietary ECO2LSTE_001 ECOSTRESS Land Surface Temperature and Emissivity Daily L2 Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1534729776-LPDAAC_ECS.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website. The ECO2LSTE Version 1 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from five thermal infrared (TIR) bands. The ECO2LSTE data product was derived using a physics-based Temperature and Emissivity Separation (TES) algorithm. The ECO2LSTE is provided as swath data and has a spatial resolution of 70 meters (m). The corresponding ECO1BGEO data product is required to georeference the ECO2LSTE data product. The ECO2LSTE Version 1 data product contains layers of LST, emissivity for bands 1 through 5, quality control for LST&E, LST error, emissivity error for bands 1 through 5, wideband emissivity, and Precipitable Water Vapor (PWV). proprietary ECO3ANCQA_001 ECOSTRESS L3/L4 Ancillary data Quality Assurance (QA) flags L3 Global 70m V001 LPDAAC_ECS STAC Catalog 2018-07-15 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C1534730053-LPDAAC_ECS.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website(https://ecostress.jpl.nasa.gov/science). The ECO3ANCQA Version 1 is a Level 3 (L3) product that provides Quality Assessment (QA) fields for all ancillary data used in L3 and Level 4 (L4) products generated by Jet Propulsion Laboratory (JPL). No quality flags are generated for the L3 or L4 products. Instead, the quality flags of the source data products are resampled by nearest neighbor onto the geolocation of the ECOSTRESS scene. A quality flag array for each input dataset, when available, is collected into the combined QA product. The ECO3ANCQA Version 1 data product contains layers of quality flags for ECOSTRESS cloud mask, Landsat 8, land cover type, albedo, MODIS Terra aerosol, MODIS Terra Cloud 1 km, MODIS Terra Cloud 5 km, MODIS Terra atmospheric profile, vegetation indices, MODIS Terra gross primary productivity, and MODIS water mask. Known Issues: *Data acquisition gaps: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. proprietary @@ -6625,7 +6625,7 @@ GloSSAC_2.1 Global Space-based Stratospheric Aerosol Climatology Version 2.1 LAR GloSSAC_2.2 Global Space-based Stratospheric Aerosol Climatology Version 2.2 LARC_ASDC STAC Catalog 1979-01-01 2021-12-31 180, -80, -180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2284299943-LARC_ASDC.umm_json The Global Space-based Stratospheric Aerosol Climatology, or GloSSAC, is a 43-year climatology of stratospheric aerosol properties focused on extinction coefficient measurements by the Stratospheric Aerosol and Gas Experiment (SAGE) series of instruments through mid-2005 and later from mid-2017 and on the Optical Spectrograph and InfraRed Imager System (OSIRIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data thereafter. Data from other space instruments and from ground-based, air and balloon borne instruments to fill in key gaps in the data set. The end result is a global and gap-free data set focused on aerosol extinction coefficient at 525 and 1020 nm and other parameters on an ‘as available’ basis. proprietary GloSSAC_2.21 Global Space-based Stratospheric Aerosol Climatology Version 2.21 LARC_ASDC STAC Catalog 1979-01-01 2022-12-31 180, -80, -180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2705848058-LARC_ASDC.umm_json The Global Space-based Stratospheric Aerosol Climatology, or GloSSAC, is a 44-year climatology of stratospheric aerosol properties focused on extinction coefficient measurements by the Stratospheric Aerosol and Gas Experiment (SAGE) series of instruments through mid-2005 and later from mid-2017 and on the Optical Spectrograph and InfraRed Imager System (OSIRIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data thereafter. Data from other space instruments and from ground-based, air and balloon borne instruments to fill in key gaps in the data set. The end result is a global and gap-free data set focused on aerosol extinction coefficient at 525 and 1020 nm and other parameters on an ‘as available’ basis. proprietary GloSSAC_2.22 Global Space-based Stratospheric Aerosol Climatology Version 2.22 LARC_ASDC STAC Catalog 1979-01-01 2023-12-31 180, -80, -180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2935447251-LARC_ASDC.umm_json The Global Space-based Stratospheric Aerosol Climatology, or GloSSAC, is a 44-year climatology of stratospheric aerosol properties focused on extinction coefficient measurements by the Stratospheric Aerosol and Gas Experiment (SAGE) series of instruments through mid-2005 and later from mid-2017 and on the Optical Spectrograph and InfraRed Imager System (OSIRIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data thereafter. Data from other space instruments and from ground-based, air and balloon borne instruments to fill in key gaps in the data set. The end result is a global and gap-free data set focused on aerosol extinction coefficient at 525 and 1020 nm and other parameters on an ‘as available’ basis. proprietary -GlobFireCarbon_1 Global Fire carbon emissions from CMS-Flux inversions assimilating atmospheric carbon monoxide observations GES_DISC STAC Catalog 2010-01-01 2023-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3278574317-GES_DISC.umm_json This dataset provides the Carbon Flux for Fires. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning. proprietary +GlobFireCarbon_1 Global Fire carbon emissions from CMS-Flux inversions assimilating atmospheric carbon monoxide observations GES_DISC STAC Catalog 2010-01-01 2023-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3278574317-GES_DISC.umm_json This dataset provides carbon monoxide and carbon dioxide flux from fires constrained by satellite observations. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning. proprietary Global_Biomass_1950-2010_1296_1 Global 1-degree Maps of Forest Area, Carbon Stocks, and Biomass, 1950-2010 ORNL_CLOUD STAC Catalog 1950-01-01 2010-12-31 -180, -70, 180, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2763367695-ORNL_CLOUD.umm_json This data set provides global forest area, forest growing stock, and forest biomass data at 1-degree resolution for the period 1950-2010. The data set is based on a compilation of forest area and growing stock data reported in international assessments performed by FAO, MCPFE (now Forest Europe), and UNECE. Data of different assessments are to the extent possible harmonized to reflect both forest area and other wooded land, to be comparable between countries and assessments. proprietary Global_CDOM_0 Global colored dissolved organic matter (CDOM) measurements OB_DAAC STAC Catalog 2005-08-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360247-OB_DAAC.umm_json Measurements of CDOM (colored dissolved organic matter) in the central equatorial Pacific Ocean in 2005 and 2006. proprietary Global_Clumping_Index_1531_1 Global 500-m Foliage Clumping Index Data Derived from MODIS BRDF, 2006 ORNL_CLOUD STAC Catalog 2006-01-01 2006-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2767477592-ORNL_CLOUD.umm_json This dataset provides global clumping index (CI) data for 2006 derived from the MODIS Bidirectional Reflectance Distribution Function (BRDF) data product. Clumping index is a key structural parameter of plant canopies which represents the degree of foliage grouping within distinct canopy structures relative to a random distribution. The data are provided at substantially higher resolution (500-m) than existing clumping index data products. proprietary @@ -11641,8 +11641,8 @@ 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 @@ -11652,8 +11652,8 @@ OMCLDO2Z_003 OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) Zoomed 1-Or OMCLDO2_003 OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) 1-Orbit L2 Swath 13x24km V003 (OMCLDO2) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966787-GES_DISC.umm_json The reprocessed OMI/Aura Level-2 cloud data product OMCLDO2 is now available from the NASA GoddardEarth Sciences Data and Information Services Center (GES DISC) for the public access. It is the second release of Version 003 and was reprocessed in late 2011. OMI provides two cloud products based on two different algorithms, the Rotational Raman Scattering method, and O2-O2 absorption method using the DOAS technique. This level-2 global cloud product, with a pixel resolution of 13x24 km2at nadir, is based on the spectral fitting of O2-O2 absorption band at 477 nm using DOAS technique. This product contains cloud pressure, cloud fraction, slant column O2-O2, ozone, ring coefficients, uncertainties in derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The lead scientist for this product is Dr. Pepijn Veefkind. The OMCLDO2 product files are stored in the version 5 Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes) and is roughly 15.096 MB in size. There are approximately 14 orbits per day thus the total data volume is approximately 200 GB/day. proprietary OMCLDO2_CPR_003 OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) 200-km swath subset along CloudSat track V003 (OMCLDO2_CPR) at GES DISC GES_DISC STAC Catalog 2006-06-01 2018-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350939-GES_DISC.umm_json This the OMI/Aura Cloud Pressure and Fraction (O2-O2 Absorption) subset along CloudSat track, for the purposes of the A-Train mission. The original product uses the DOAS technique method. This level-2 global cloud product at the pixel resolution (13x24 km2 at nadir) is based on the spectral fitting of O2-O2 absorption band at 477 nm using DOAS technique. 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. This product contains cloud pressure, cloud fraction, slant column O2-O2 and O3, ring coefficients, uncertainties in 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 Level-2 OMI cloud pressure and fraction (O2-O2 absorption) subset along CloudSat track product is OMCLDO2_CPR) proprietary OMCLDRRG_003 OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMCLDRRG) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136100-GES_DISC.umm_json This Level-2G daily global gridded product OMCLDRRG is based on the pixel level OMI Level-2 CLDRR product OMCLDRR. This level-2G global cloud product (OMCLDRRG) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The algorithm lead for the products OMCLDRR and OMCLDRRG is NASA OMI scientist Dr. Joanna Joinner. OMCLDRRG data product is a special Level-2G Gridded Global Product where pixel level data (OMCLDRR)are binned into 0.25x0.25 degree global grids. It contains the OMCLDRR data for all L2 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 OMCLDRRG data products are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (~14 orbits). The average file size for the OMCLDRRG data product is about 75 Mbytes. proprietary -OMCLDRR_003 OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 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/C1000000100-OMINRT.umm_json The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR 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 OMCLDRR data product is about 9 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 OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. 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. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/ proprietary OMCLDRR_003 OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 (OMCLDRR) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966791-GES_DISC.umm_json The reprocessed Aura Ozone Monitoring Instrument (OMI) Version 003 Level 2 Cloud Data Product OMCLDRR is available to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. The OMCLDRR 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 OMCLDRR data product is about 9 Mbytes. proprietary +OMCLDRR_003 OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 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/C1000000100-OMINRT.umm_json The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR 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 OMCLDRR data product is about 9 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 OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. 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. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/ proprietary OMCLDRR_004 OMI/Aura Effective Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V004 (OMCLDRR) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3159637081-GES_DISC.umm_json This is the Aura Ozone Monitoring Instrument (OMI) Version 004 Level 2 Cloud Data Product OMCLDRR. OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product, OMCLDRR, provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. The OMCLDRR 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 OMCLDRR data product is about 9 Mbytes. proprietary OMCLDRR_CPR_003 OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 200-km swath subset along CloudSat track V003 (OMCLDRR_CPR) at GES DISC GES_DISC STAC Catalog 2006-06-01 2018-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350980-GES_DISC.umm_json This is the OMI/Aura Cloud Pressure and Fraction (Raman Scattering) subset along CloudSat tracks, for the purposes of the A-Train mission. The original data product uses the Rotational Raman Scattering method. This level-2 global cloud product provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). The goal of this 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. 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 Level-2 OMI cloud pressure and fraction subset along CloudSat tracks product is OMCLDRR_CPR) proprietary OMDOAO3G_003 OMI/Aura Ozone (O3) DOAS Total Column Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMDOAO3G) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136103-GES_DISC.umm_json This Level-2G daily global gridded product OMDOAO3G is based on the pixel level OMI Level-2 DOAO3 product OMDOAO3. This Level-2G global total column ozone product is derived from OMDOAO3 which is based on the Differential Absorption Spectroscopy (DOAS) fitting technique that essentially uses the OMI visible radiance values between 331.1 and 336.1 nm. In addition to the total ozone column this product also contains some auxiliary derived and ancillary input parameters, e.g. ozone slant column density, ozone ghost column density, etc. The short name for this Level-2 OMI ozone product is OMDOAO3G and the lead algorithm scientist for this product and for OMDOAO3 (the data source of OMDOAO3G) is Dr. Pepijn Veefkind from KNMI. The OMDOAO3G product files are stored in the version 5 Hierarchical Data Format (HDF-EOS5). Each daily file contains data from the day lit portion of the orbits (approximately 14 orbits) and is roughly 80 MB in size. proprietary @@ -11739,8 +11739,8 @@ OMSO2_003 OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km OMSO2_CPR_003 OMI/Aura Level 2 Sulphur Dioxide (SO2) Trace Gas Column Data 1-Orbit Subset and Collocated Swath along CloudSat V003 (OMSO2_CPR) at GES DISC GES_DISC STAC Catalog 2006-06-01 2018-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350970-GES_DISC.umm_json "This is a CloudSat-collocated subset of the original product OMSO2, 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. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this CloudSat-collocated subset of the original product OMSO2 Product is OMSO2_CPR_V003) This document describes the original OMI SO2 product (OMSO2) produced from global mode UV measurements of the Ozone Monitoring Instrument (OMI). OMI was launched on July 15, 2004 on the EOS Aura satellite, which is in a sun-synchronous ascending polar orbit with 1:45pm local equator crossing time. The data collection started on August 17, 2004 (orbit 482) and continues to this day with only minor data gaps. The minimum SO2 mass detectable by OMI is about two orders of magnitude smaller than the detection threshold of the legacy Total Ozone Mapping Spectrometer (TOMS) SO2 data (1978-2005) [Krueger et al 1995]. This is due to smaller OMI footprint and the use of wavelengths better optimized for separating O3 from SO2. The product file, called a data granule, covers the sunlit portion of the orbit with an approximately 2600 km wide swath containing 60 pixels per viewing line. During normal operations, 14 or 15 granules are produced daily, providing fully contiguous coverage of the globe. Currently, OMSO2 products are not produced when OMI goes into the ""zoom mode"" for one day every 452 orbits (~32 days). For each OMI pixel we provide 4 different estimates of the column density of SO2 in Dobson Units (1DU=2.69x10^16 molecules/cm2) obtained by making different assumptions about the vertical distribution of the SO2. However, it is important to note that in most cases the precise vertical distribution of SO2 is unimportant. The users can use either the SO2 plume height, or the center of mass altitude (CMA) derived from SO2 vertical distribution, to interpolate between the 4 values: 1)Planetary Boundary Layer (PBL) SO2 column (ColumnAmountSO2_PBL), corresponding to CMA of 0.9 km. 2)Lower tropospheric SO2 column (ColumnAmountSO2_TRL), corresponding to CMA of 2.5 km. 3)Middle tropospheric SO2 column, (ColumnAmountSO2_TRM), usually produced by volcanic degassing, corresponding to CMA of 7.5 km, 4)Upper tropospheric and Stratospheric SO2 column (ColumnAmountSO2_STL), usually produced by explosive volcanic eruption, corresponding to CMA of 17 km. The accuracy and precision of the derived SO2 columns vary significantly with the SO2 CMA and column amount, observational geometry, and slant column ozone. OMI becomes more sensitive to SO2 above clouds and snow/ice, and less sensitive to SO2 below clouds. Preliminary error estimates are discussed below (see Data Quality Assessment). OMSO2 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 OMSO2 data product is about 9 Mbytes." proprietary OMSO2e_003 OMI/Aura Sulfur Dioxide (SO2) Total Column Daily L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3 (OMSO2e) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136112-GES_DISC.umm_json "The OMI science team produces this Level-3 Aura/OMI Global OMSO2e Data Products (0.25 degree Latitude/Longitude grids). In this Level-3 daily global SO2 data product, each grid contains only one observation of Total Column Density of SO2 in the Planetary Boundary Layer (PBL), based on an improved Principal Component Analysis (PCA) Algorithm. This single observation is the ""best pixel"", selected from all ""good"" L2 pixels of OMSO2 that overlap this grid and have UTC time between UTC times of 00:00:00 and 23:59:59.999. In addition to the SO2 Vertical column value some ancillary parameters, e.g., cloud fraction, terrain height, scene number, solar and satellite viewing angles, row anomaly flags, and quality flags have been also made available corresponding to the best selected SO2 data pixel in each grid. The OMSO2e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5) using the grid model." proprietary OMTO3G_003 OMI/Aura Ozone (O3) Total Column Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMTO3G) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136114-GES_DISC.umm_json This Level-2G daily global gridded product OMTO3G is based on the pixel level OMI Level-2 Total Ozone Product OMTO3. The OMTO3 product is from the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. The OMTO3G data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree global grids. It contains the data for all L2 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 OMTO3G data product contains almost all parameters that are contained in the OMTO3. For example, in addition to the total column ozone it also contains UV aerosol index, cloud fraction, cloud pressure, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The OMTO3G 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 OMTO3G data product is about 150 Mbytes. proprietary -OMTO3_003 OMI/Aura Ozone (O3) Total Column 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/C1000000140-OMINRT.umm_json The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. 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's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. 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 additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (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 extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 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 OMTO3 data product is about 35 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 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/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ . proprietary 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_003 OMI/Aura Ozone (O3) Total Column 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/C1000000140-OMINRT.umm_json The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. 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's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. 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 additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (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 extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 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 OMTO3 data product is about 35 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 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/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ . 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 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 @@ -12855,11 +12855,11 @@ SPL1B_SO_LoRes_QA_001_1 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V001 ASF STAC Catalog 2 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_005 SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V005 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1931656617-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_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_E_003 SMAP Enhanced L1C Radiometer Half-Orbit 9 km EASE-Grid Brightness Temperatures V003 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1931657626-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 -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 +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 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 SPL1C_S0_HiRes_002_2 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_V002 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243268956-ASF.umm_json SMAP Level 1C Sigma Naught High Res Product Version 2 proprietary SPL1C_S0_HiRes_003_3 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_V003 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243144528-ASF.umm_json SMAP Level 1C Sigma Naught High Res Product Version 3 proprietary @@ -12869,8 +12869,8 @@ SPL1C_S0_HiRes_METADATA_003_3 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_METADATA_V003 ASF S SPL1C_S0_HiRes_QA_001_1 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V001 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214474435-ASF.umm_json SMAP Level 1C Sigma Naught High Res Data Quality Info proprietary SPL1C_S0_HiRes_QA_002_2 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V002 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243255360-ASF.umm_json SMAP Level 1C Sigma Naught High Res Data Quality Info Version 2 proprietary 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_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_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 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 @@ -12888,26 +12888,26 @@ SPL3FTP_003 SMAP L3 Radiometer Global and Northern Hemisphere Daily 36 km EASE-G 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_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_E_003 SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V003 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1931660840-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 -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 +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 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_008 SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture V008 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2136471705-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_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_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_005 SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V005 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2136471727-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 +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 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 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 +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 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 @@ -14088,6 +14088,7 @@ USAP-2142491_1 CAREER: Experimentally Testing the Role of Sympagic Algae in Sea- USAP-2149070_1 ANT LIA: Collaborative Research: Adaptations of Southern Ocean Diatoms to Manganese Scarcity: Can Physiological Ingenuity Overcome Unfavorable Chemistry? AMD_USAPDC STAC Catalog 2023-02-01 2026-01-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2639396829-AMD_USAPDC.umm_json This proposal represents collaborative research to explore manganese (Mn) limitation in Antarctic diatoms by two early career investigators. Diatoms are central players in the Southern Ocean carbon cycle, where the micronutrient chemistry is fundamentally different from other oceans. The Southern Ocean is characterized by widespread low Mn, coupled with high zinc (Zn). High Zn levels are potentially toxic to diatoms as Zn can competitively inhibit Mn uptake and metabolism, compromising the ability of building critical cellular components, thus impacting the biological pump. Using culture experiments with a matrix of micronutrient treatments (Mn, Zn, Fe) and irradiances, and using physiological and transcriptomic approaches, along with biochemical principles, the Principal Investigators will address the central hypothesis (that diatoms from the Southern Ocean possess unique physiological mechanisms to adapt to low Mn/high Zn) by quantifying rates of uptake and transporter binding constants. The transcriptomics approach will help to identify candidate genes that may provide Antarctic diatoms physiological mechanisms in low Mn/high Zn environment. The project does not require fieldwork but instead would make use of culture experiments with 4 diatom species (3 Antarctic, and 1 temperate). The proposed approach will also enable the goal of developing biomarker(s) for assessing Mn stress or Zn toxicity and results from the physiological experiments will help parameterize models of micronutrient limitation in the Southern Ocean. 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-2232891_1 ANT LIA: The Role of Sex Determination in the Radiation of Antarctic Notothenioid Fish AMD_USAPDC STAC Catalog 2023-08-15 2027-07-31 -180, -90, 180, -37 https://cmr.earthdata.nasa.gov/search/concepts/C2759058324-AMD_USAPDC.umm_json Antarctic animals face tremendous threats as Antarctic ice sheets melt and temperatures rise. About 34 million years ago, when Antarctica began to cool, most species of fish became locally extinct. A group called the notothenioids, however, survived due to the evolution of antifreeze. The group eventually split into over 120 species. Why did this group of Antarctic fishes evolve into so many species? One possible reason why a single population splits into two species relates to sex genes and sex chromosomes. Diverging species often have either different sex determining genes (genes that specify whether an individual’s gonads become ovaries or testes) or have different sex chromosomes (chromosomes that differ between males and females within a species, like the human X and Y chromosomes). We know the sex chromosomes of only a few notothenioid species and know the genetic basis for sex determination in none of them. The aims of this research are to: 1) identify sex chromosomes in species representing every major group of Antarctic notothenioid fish; 2) discover possible sex determining genes in every major group of Antarctic notothenioid fish; and 3) find sex chromosomes and possible sex determining genes in two groups of temperate, warmer water, notothenioid fish. These warmer water fish include groups that never experienced the frigid Southern Ocean and groups that had ancestors inhabiting Antarctic oceans that later adjusted to warmer waters. This project will help explain the mechanisms that led to the division of a group of species threatened by climate change. This information is critical to conserve declining populations of Antarctic notothenioids, which are major food sources for other Antarctic species such as bird and seals. The project will offer a diverse group of undergraduates the opportunity to develop a permanent exhibit at the Eugene Science Center Museum. The exhibit will describe the Antarctic environment and explain its rapid climate change. It will also introduce the continent’s bizarre fishes that live below the freezing point of water. The project will collaborate with the university’s Science and Comics Initiative and students in the English Department’s Comics Studies Minor to prepare short graphic novels explaining Antarctic biogeography, icefish specialties, and the science of this project as it develops. proprietary USAP-2240780_1 ANT LIA: Collaborative Research: Mixotrophic Grazing as a Strategy to meet Nutritional Requirements in the Iron and Manganese Deficient Southern Ocean AMD_USAPDC STAC Catalog 2023-02-15 2026-01-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2639396983-AMD_USAPDC.umm_json Mixotrophic microorganisms that are capable of both photosynthetic and heterotrophic forms of metabolism are key contributors to primary productivity and organic carbon remineralization in the Southern Ocean. However, uncertainties in their grazing behavior and physiology prevent an accurate understanding of microbial food web dynamics and biogeochemical cycling in the Antarctic ecosystem. Polar mixotrophs have evolved to withstand extreme seasonality, including variable light, sea ice, temperature, and micronutrient concentrations. In particular, the Southern Ocean appears to be the only region of the world’s ocean where the bioessential trace metals iron (Fe) and manganese (Mn) are low enough to inhibit photosynthetic growth. The molecular physiology of mixotrophs experiencing Fe and Mn growth limitation has not yet been examined, and we lack an understanding of how seasonal changes in the availability of these micronutrients influence mixotrophic growth dynamics. We aim to examine whether grazing affords mixotrophs an ecological advantage in the Fe and Mn-deficient Southern Ocean, and to characterize the shifts in metabolic processes that occur during transitions in micronutrient conditions. Culture studies will directly measure growth responses, grazing behavior, and changes in elemental stoichiometry in response to Fe and Mn limitation. Transcriptomic analyses will reveal the metabolic underpinnings of trophic behavior and micronutrient stress responses, with implications for key biogeochemical processes such as carbon fixation, remineralization, and nutrient cycling. proprietary +USAP-2324998_1 ANT LIA: Collaborative Research: Evolutionary Patterns and Mechanisms of Trait Diversification in the Antarctic Notothenioid Radiation AMD_USAPDC STAC Catalog 2022-10-01 2025-01-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C3333666817-AMD_USAPDC.umm_json Part I: Nontechnical description The ecologically important notothenioid fish of the Southern Ocean surrounding Antarctica will be studied to address questions central to polar, evolutionary, and adaptational biology. The rapid diversification of the notothenioids into >120 species following a period of Antarctic glaciation and cooling of the Southern Ocean is thought to have been facilitated by key evolutionary innovations, including antifreeze glycoproteins to prevent freezing and bone reduction to increase buoyancy. In this project, a large dataset of genomic sequences will be used to evaluate the genetic mechanisms that underlie the broad pattern of novel trait evolution in these fish, including traits relevant to human diseases (e.g., bone density, renal function, and anemia). The team will develop new STEM-based research and teaching modules for undergraduate education at Northeastern University. The work will provide specific research training to scholars at all levels, including a post-doctoral researcher, a graduate student, undergraduate students, and high school students. The team will also contribute to public outreach, including, in part, the develop of teaching videos in molecular evolutionary biology and accompanying educational supplements. Part II: Technical description The researchers will leverage their comprehensive notothenioid phylogenomic dataset comprising >250,000 protein-coding exons and conserved non-coding elements across 44 ingroup and 2 outgroup species to analyze the genetic origins of three iconic notothenioid traits: (1) loss of erythrocytes by the icefish clade in a cold, stable and highly-oxygenated marine environment. (2) reduction in bone mass and retention of juvenile skeletal characteristics as buoyancy mechanisms to facilitate foraging. And (3) loss of kidney glomeruli to retain energetically expensive antifreeze glycoproteins. The team will first track patterns of change in erythroid-related genes throughout the notothenioid phylogeny. They will then examine whether repetitive evolution of a pedomorphic skeleton in notothenioids is based on parallel or divergent evolution of genetic regulators of heterochrony. Third, they will determine whether there is mutational bias in the mechanisms of loss and re-emergence of kidney glomeruli. Finally, identified genetic mechanisms of evolutionary change will be validated by experimental testing using functional genomic strategies in the zebrafish model system. proprietary USAP-9615281_1 Air-Ground Study of Tectonics at the Boundary Between the Eastern Ross Embayment and Western Marie Byrd Land, Antarctica: Basement Geology and Structure AMD_USAPDC STAC Catalog 1997-08-15 2002-07-31 -170, -84, -135, -76 https://cmr.earthdata.nasa.gov/search/concepts/C2532072225-AMD_USAPDC.umm_json This award supports a collaborative project that combines air and ground geological-geophysical investigations to understand the tectonic and geological development of the boundary between the Ross Sea Rift and the Marie Byrd Land (MBL) volcanic province. The project will determine the Cenozoic tectonic history of the region and whether Neogene structures that localized outlet glacier flow developed within the context of Cenozoic rifting on the eastern Ross Embayment margin, or within the volcanic province in MBL. The geological structure at the boundary between the Ross Embayment and western MBL may be a result of: 1) Cenozoic extension on the eastern shoulder of the Ross Sea rift; 2) uplift and crustal extension related to Neogene mantle plume activity in western MBL; or a combination of the two. Faulting and volcanism, mountain uplift, and glacier downcutting appear to now be active in western MBL, where generally East-to-West-flowing outlet glaciers incise Paleozoic and Mesozoic bedrock, and deglaciated summits indicate a previous North-South glacial flow direction. This study requires data collection using SOAR (Support Office for Aerogeophysical Research, a facility supported by Office of Polar Programs which utilizes high precision differential GPS to support a laser altimeter, ice-penetrating radar, a towed proton magnetometer, and a Bell BGM-3 gravimeter). This survey requires data for 37,000 square kilometers using 5.3 kilometer line spacing with 15.6 kilometer tie lines, and 86,000 square kilometers using a grid of 10.6 by 10.6 kilometer spacing. Data will be acquired over several key features in the region including, among other, the eastern edge of the Ross Sea rift, over ice stream OEO, the transition from the Edward VII Peninsula plateau to the Ford Ranges, the continuation to the east of a gravity high known from previous reconnaissance mapping over the Fosdick Metamorphic Complex, an d the extent of the high-amplitude magnetic anomalies (volcanic centers?) detected southeast of the northern Ford Ranges by other investigators. SOAR products will include glaciology data useful for studying driving stresses, glacial flow and mass balance in the West Antarctic Ice Sheet (WAIS). The ground program is centered on the southern Ford Ranges. Geologic field mapping will focus on small scale brittle structures for regional kinematic interpretation, on glaciated surfaces and deposits, and on datable volcanic rocks for geochronologic control. The relative significance of fault and joint sets, the timing relationships between them, and the probable context of their formation will also be determined. Exposure ages will be determined for erosion surfaces and moraines. Interpretation of potential field data will be aided by on ground sampling for magnetic properties and density as well as ground based gravity measurements. Oriented samples will be taken for paleomagnetic studies. Combined airborne and ground investigations will obtain basic data for describing the geology and structure at the eastern boundary of the Ross Embayment both in outcrop and ice covered areas, and may be used to distinguish between Ross Sea rift- related structural activity from uplift and faulting on the perimeter of the MBL dome and volcanic province. Outcrop geology and structure will be extrapolated with the aerogeophysical data to infer the geology that resides beneath the WAIS. The new knowledge of Neogene tectonics in western MBL will contribute to a comprehensive model for the Cenozoic Ross rift and to understanding of the extent of plume activity in MBL. Both are important for determining the influence of Neogene tectonics on the ice streams and WAIS. proprietary USAP-9725024_1 Circumpolar Deep Water and the West Antarctic Ice Sheet AMD_USAPDC STAC Catalog 1988-03-01 2002-02-28 140, -68, 150, -65 https://cmr.earthdata.nasa.gov/search/concepts/C2532072042-AMD_USAPDC.umm_json This project will study the dynamics of Circumpolar Deep Water intruding on the continental shelf of the West Antarctic coast, and the effect of this intrusion on the production of cold, dense bottom water, and melting at the base of floating glaciers and ice tongues. It will concentrate on the Amundsen Sea shelf, specifically in the region of the Pine Island Glacier, the Thwaites Glacier, and the Getz Ice Shelf. Circumpolar Deep Water (CDW) is a relatively warm water mass (warmer than +1.0 deg Celsius) which is normally confined to the outer edge of the continental shelf by an oceanic front separating this water mass from colder and saltier shelf waters. In the Amundsen Sea however, the deeper parts of the continental shelf are filled with nearly undiluted CDW, which is mixed upward, delivering significant amounts of heat to the base of the floating glacier tongues and the ice shelf. The melt rate beneath the Pine Island Glacier averages ten meters of ice per year with local annual rates reaching twenty meters. By comparison, melt rates beneath the Ross Ice Shelf are typically twenty to forty centimeters of ice per year. In addition, both the Pine Island and the Thwaites Glacier are extremely fast-moving, and have a significant effect on the regional ice mass balance of West Antarctica. This project therefore has an important connection to antarctic glaciology, particularly in assessing the combined effect of global change on the antarctic environment. The particular objectives of the project are (1) to delineate the frontal structure on the continental shelf sufficiently to define quantitatively the major routes of CDW inflow, meltwater outflow, and the westward evolution of CDW influence; (2) to use the obtained data set to validate a three-dimensional model of sub-ice ocean circulation that is currently under construction, and (3) to refine the estiamtes of in situ melting on the mass balance of the antarctic ice sheet. The observational program will be carried out from the research vessel Nathaniel B. Palmer in February and March, 1999. proprietary USARC_AERIAL_PHOTOS Aerial Photography of Antarctica CEOS_EXTRA STAC Catalog 1970-01-01 -180, -90, 180, -62.83 https://cmr.earthdata.nasa.gov/search/concepts/C2231551700-CEOS_EXTRA.umm_json "The USARC maintains all US Aerial Antarctic Mapping photography and USGS flight indexes of the Antarctic. There are over 500,000 photographs in the collection. Most photographs are 9"" x 9"" black and white images taken with three Fairchild cameras each with a metrogon lense resulting in trimetrogon photography (left oblique, vertical and right oblique photographs). Special-purpose photographs showing sites of specific scientific interest ""vertical and handheld oblique as well as photographs taken from helicopters"" are also on file. Some color photographs are also available. Line indexes to identify coverage are available for most aerial photographic missions. Contact prints in either matte or glossy finish are available for inspection or stereoscopic viewing. Special feature options, such as ice and rock enhancements, may be special ordered." proprietary