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Jupyter notebook-based tutorials to learn how to access and work with select NSIDC DAAC data.

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This Issue encapsulates all work required to fully retire IceFlow including its backend components, including: - Updating the existing [corrections notebook](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/notebooks/iceflow/corrections.ipynb) to demonstrate how to apply CRS transformations on existing...

We are decomissioning Valkyrie and removing notebooks/code reliant on valkyrie. #76 will serve as an intermediate replacement, and https://github.com/nsidc/tps-ecs-decom-notes/issues/11 will provide a longer-term solution and more robust replacement for Valkyrie.

This PR updates the SMAP tutorials to use earthaccess and xarray Methods are included to load SMAP L3 data into `xarray.DataTree` and add coordinates.

The latest xarray release introduces `xarray.datatree` into the library. This can simplify our guidance when opening NSIDC DAAC hierarchical HDF data, as you no longer need to point to a...

CryoSat search goes through this endpoint, we could improve our Cryo2Ice notebook using a single parameter search for both earthaccess and cryosat. This endpoint has the advantage of working with...