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update bullet spacing
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JessicaS11 committed Jul 18, 2024
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8 changes: 4 additions & 4 deletions doc/source/community/resources.rst
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Expand Up @@ -23,21 +23,21 @@ A few other options available for querying, visualizing, and downloading ICESat-
- A powerful tool for querying and downloading NASA datasets.
- Seamlessly handles authentication and cloud tokening.
- Under active development to expand functionality,
including adding icepyx as a plugin to enable subsetting services for ICESat-2 data.
including adding icepyx as a plugin to enable subsetting services for ICESat-2 data.

- `NSIDC (DAAC) Data Access <https://nsidc.org/data/icesat-2>`_

- Select “Data from the right hand menu.
Choose your dataset (ATL##).
Then, use the spatial and temporal filters to narrow your list of granules available for download.
Choose your dataset (ATL##).
Then, use the spatial and temporal filters to narrow your list of granules available for download.

- `OpenAltimetry <https://openaltimetry.earthdatacloud.nasa.gov>`_

- Collaboration between NSIDC, Scripps, and San Diego Supercomputer Center.
- A web tool to visualize and download ICESat and ICESat-2 surface heights.
- Data may be subsetted by data product, reference ground track (RGT), and beam.
- Currently available ICESat-2 datasets are: ATL06 (land ice height), ATL07 (sea ice height),
ATL08 (land/vegetation height), ATL10 (sea ice freeboard), ATL12 (ocean surface height), ATL13 (water surface height).
ATL08 (land/vegetation height), ATL10 (sea ice freeboard), ATL12 (ocean surface height), ATL13 (water surface height).

Software Packages for Working with ICESat-2 Data
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2 changes: 1 addition & 1 deletion doc/source/community/resources/IS2_software.rst
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Expand Up @@ -9,7 +9,7 @@ Most of these packages are callable through Python, though others may require ac
- collaboration between the ICESat-2 science team and University of Washington
- A Python client to process ICESat-2 ATL03 data prior to download.
- Create customized versions of ATL06 (land ice), ATL08 (vegetation), and ATL24(bathymetry) products.
Ideal for situations where a given algorithm is not run or is too coarse for a particular application.
Ideal for situations where a given algorithm is not run or is too coarse for a particular application.
- Data may also be subsetted based on spatial bounds and photon classification.

* `PhoREAL <https://github.com/icesat-2UT/PhoREAL>`_
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