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Merge pull request #68 from nasa/dev
Consistency edits to Cloud GPM IMERG Notebook (#67)
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cloud-tutorials/README.md

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|[How to Create and Store Earthdata Login Credentials Using Python](notebooks/How_to_Create_and_Store_Earthdata_Login_Credentials_Using_Python.ipynb) | This notebook demonstrates how to generate and store your Earthdata Login credentials in a .netrc file. | Python | Access |
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|[How to Directly Access MERRA-2 Data from an S3 Bucket with Python](notebooks/How_to_Directly_Access_MERRA-2_Data_from_an_S3_Bucket.ipynb) | This notebook demonstrates how to access and plot a Modern-Era Retrospective analysis for Research and Applications (MERRA-2) M2T1NXSLV.5.12.4 file hosted via an Amazon S3 bucket. It demonstrates how to access an S3 bucket with the S3FS library and then plot sea-level pressure contours of a single file with Cartopy and Matplotlib.| Python, Direct S3 Access | Access, Subset, Plot |
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|[How to Directly Access GPM IMERG Data from an S3 Bucket with Python](notebooks/How_to_Directly_Access_GPM_IMERG_Data_from_an_S3_Bucket.ipynb) | This notebook demonstrates how to search, access, and plot an Integrated Multi-satellitE Retrievals for GPM file hosted via an Amazon S3 bucket. It demonstrates how to search for a granule by DOI and access it directly from an S3 bucket using the earthaccess and Xarray libraries, before plotting precipitation for that granule using Cartopy and Matplotlib.| Python, Direct S3 Access | Search, Access, Subset, Plot |
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|[How to Obtain a List of S3 URLs for a GES DISC Collection using the CMR API](notebooks/How_to_Obtain_a_List_of_S3_URLs_for_a_GES_DISC_Collection_Using_the_CMR_API.ipynb)| This notebook demonstrates how to obtain a list of S3 URLs for desired cloud-hosted GES DISC granules using the Commmon Metadata Repository (CMR) API. | Python, CMR | Search |
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|[How to Retrieve Temporary S3 Credentials for the GES DISC Cloud Archive](notebooks/How_to_Retrieve_Temporary_S3_Credentials_for_the_GES_DISC_Cloud_Archive.ipynb) | This notebook demonstrates how to retrieve GES DISC S3 credentials by using a previously generated netrc file. | Python | Access |
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|[How to Perform Cross-DAAC S3 Bucket Access Using Python](notebooks/How_to_Perform_Cross-DAAC_S3_Bucket_Access_Using_Python.ipynb) | This notebook demonstrates how to access cloud-hosted Earthdata granules from S3 buckets using the CMR API and Python, from two different DAACs (GES DISC and PO.DAAC). | Python, CMR, Direct S3 Access | Search, Access, Subset, Compute, Plot |

cloud-tutorials/notebooks/How_to_Directly_Access_GPM_IMERG_Data_from_an_S3_Bucket.ipynb

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