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data collections and granules using CMR API and `Request` Python package|\r\n| **[earthaccess_introduction.ipynb](/python/tutorials/earthaccess_introduction.ipynb)** | Jupyter Notebook | Demonstrates how to search for Earthdata data collections and granules using CMR API and `earthaccess` Python package|\r\n| **[finding_data_cmr-stac_api.ipynb](/python/tutorials/finding_data_cmr-stac_api.ipynb)** | Jupyter Notebook | Demonstrates how to search for Earthdata data collections and granules using CMR-STAC API and `pystac_client` Python package|\r\n| **[Data_Discovery_CMR_API_Bulk_Query.ipynb](/python/tutorials/Data_Discovery_CMR_API_Bulk_Query.ipynb)** | Jupyter Notebook | Demonstrates how to search and extract data URLs for an entire collection using Python's `asyncio` package|\r\n| **[glance_access.ipynb](/python/tutorials/glance_access.ipynb)** | Jupyter Notebook | Demonstrates how to search for process and visualize GLanCE30 Land Cover Data using Python|\r\n| **[create_netrc_file.md](/guides/create_netrc_file.md)** | Markdown | Demonstrates how to create a .netrc file in your home directory |\r\n| **[bulk_download_using_curl.md](/guides/bulk_download_using_curl.md)** | Markdown | Demonstrates how to bulk download LP DAAC data using Curl from command line |\r\n| **[bulk_download_using_wget.md](/guides/bulk_download_using_wget.md)** | Markdown | Demonstrates how to bulk download LP DAAC data using Wget from command line |\r\n| **[DAACDataDownload.py](/python/scripts/daac_data_download_python)** | Python script | Demonstrates how to download LP DAAC data using a command line executable script |\r\n| **[Land Product Guide](/guides/lp_product_guide.md)** | Markdown | Cheat sheet including a high level overview of tools, resources, and URLs available for land data collections (including Landsat data)|\r\n\r\nThe other guides, tutorials, how-tos and scripts can be accessed in our mission specific repositories. \r\n\r\n| Resource Repository | Summary | Services and Tools |\r\n|----|-----|----|\r\n|[ASTER Data](https://github.com/nasa/ASTER-Data-Resources) |How to find, access, and work with ASTER data (Advanced Spaceborne Thermal Emission and Reflection Radiometer)|Tutorials, Direct Access |\r\n|[AppEEARS Data Resources](https://github.com/nasa/AppEEARS-Data-Resources) |How to use the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) |Tutorials, AppEEARS API, Direct S3 Access |\r\n|[ECOSTRESS Data](https://github.com/nasa/ECOSTRESS-Data-Resources)|How to find, access, and work with ECOSTRESS data (The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station)|Tutorials, Scripts, Direct S3 Access|\r\n|[EMIT Data](https://github.com/nasa/EMIT-Data-Resources) |How to find, access, and work with EMIT data (Earth Surface Mineral Dust Source Investigation)|Tutorials, Scripts, Direct S3 Access |\r\n|[GEDI Data](https://github.com/nasa/GEDI-Data-Resources) |How to find, access, and work with GEDI data (Global Ecosystem Dynamics Investigation)|Tutorials |\r\n|[HLS Data](https://github.com/nasa/HLS-Data-Resources)|How to find, access, and work with HLS data (Harmonized Landsat Sentinel-2)|Tutorials, Scripts, Direct S3 Access|\r\n|[MODIS-VIIRS Data](https://github.com/nasa/MODIS-VIIRS-Data-Resources)|How to find, access, and work with MODIS and VIIRS data|Tutorials|\r\n|[VITALS](https://github.com/nasa/VITALS)|How to find and work with EMIT and ECOSTRESS data together |Tutorials|\r\n\r\n## Contact Info  \r\n\r\nEmail: \u003cLPDAAC@usgs.gov\u003e  \r\nVoice: +1-866-573-3222  \r\nOrganization: Land Processes Distributed Active Archive Center (LP DAAC)¹  \r\nWebsite: \u003chttps://www.earthdata.nasa.gov/centers/lp-daac\u003e  \r\n\r\n¹Work performed under USGS contract G15PD00467 for NASA contract NNG14HH33I. 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