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## Summary
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This combined repository includes tutorials and code resources provided by the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC). Most were developed to support a workshop or other live event. In many cases the content represents a snapshot in time, and might not demonstrate current best practice. Some tutorials present data access patterns for retired on premises archives that will no longer work now that data have migrated to the NASA Earthdata Cloud environment. We've posted warnings in those cases. Up to date information on data access patterns can be found in the [NSIDC Data Cookbook](https://nsidc.github.io/NSIDC-Data-Cookbook).
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This combined repository includes tutorials and code resources provided by the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC). Most were developed to support a workshop or other live event. In some cases the content represents a snapshot in time, and might not demonstrate current best practice. Some tutorials present data access patterns for retired on premises archives that will no longer work now that data have migrated to the NASA Earthdata Cloud environment. We've posted warnings in those cases. Up to date information on data access patterns can be found in the [NSIDC Data Cookbook](https://nsidc.github.io/NSIDC-Data-Cookbook).
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These tutorials are provided as Python-based Jupyter notebooks that provide guidance on working with various data products, including how to access, subset, transform, and visualize data. Each tutorial can be accessed by navigating to the /notebooks folder of this repository. Please see the README files associated with each individual tutorial folder for more information on each tutorial and their learning objectives. Please note that all branches outside of `Main` should be considered in development and are not supported.
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