Data Tools
Explore web services, interactive tutorials, and other tools to access and work with NSIDC data
There are many ways to access and work with NSIDC data to accommodate a wide diversity of users. Use the filter menu to explore and narrow down your options. Note that the list defaults to show our Featured tools first, however, you have more options in the Sort by menu.
- To see which tools are available for which data sets, you must go to a specific data set landing page. On the landing page under Data Access and Tools, you will see data-set specific tools to access and work with the data.
- Once you are ready to find a data set, explore our data catalog.
By capability
Get Data
Search & Discover
GIS
Customize
Download data, and explore data coverage and customization using the Python-based Jupyter Notebook.
Supported software languages:
Python
Customization Capabilities:
reprojection
spatial subsetting
temporal subsetting
variable subsetting
Search & Discover
Get Data
GIS
Search and select Greenland Ice Mapping Project GIMP data at NSIDC, guided by a Python-based Jupyter Notebook. Build a QGIS project file from the search results. View data remotely if desired.
Supported software languages:
Python
Type: Downloadable Software
Last updated:
Visualize
Search & Discover
Get Data
Customize
Spatially and temporally filter Greenland Ice Mapping Project (GIMP) image and velocity data, guided by a Python-based Jupyter Notebook. Spatially subset data and download in NetCDF format. This tool creates an interactive plot of time series data at selected points.
Supported software languages:
Python
Type: Downloadable Software
Last updated:
Customization Capabilities:
spatial subsetting
variable subsetting
data reformatting
Output Formats:
NETCDF-4
Visualize
Customize
Reformat and/or visualize LVIS level 1B and 2 data products. Readers are available in C and IDL.
Supported software languages:
C
IDL
Type: Downloadable Software
Customization Capabilities:
data reformatting
Output Formats:
ASCII
Visualize
Customize
Use Python scripts to read and visualize daily and monthly snow depth and snow water equivalent ASCII files from the Canadian Meteorological Center Daily Snow Depth Analysis Data (NSIDC-0477) product. Convert a one-year snow depth ASCII file to GeoTIFF.
Supported software languages:
Python
Type: Downloadable Software
Last updated:
Customization Capabilities:
data reformatting
Output Formats:
GEOTIFF
Visualize
Customize
Reformat and/or visualize IceBridge data products using readers available in multiple programming languages.
Supported software languages:
Matlab
C
IDL
Python
Perl
Customization Capabilities:
data reformatting
Output Formats:
ASCII
BINARY
PNG
Analyze
Visualize
Customize
Use this toolbox to read, process, analyze, and output ICESat-2 ATL03 and ATL08 data in these formats: figures, .las, .csv, .kml.
Supported software languages:
Python
Type: Downloadable Software
Customization Capabilities:
data reformatting
spatial subsetting
temporal subsetting
variable subsetting
Output Formats:
ASCII
CSV
HDF5
KML
PNG
Analyze
Visualize
GIS
Get Data
Customize
Access, subset, project, interpolate, analyze, and/or combine data products with this Python library. Useful for geospatial analyses run locally or in the cloud.
Supported software languages:
Python
Type: Downloadable Software
Customization Capabilities:
data reformatting
spatial subsetting
temporal subsetting
variable subsetting
reprojection
Output Formats:
GEOTIFF
HDF4
HDF5
Analyze
Visualize
Customize
Get Data
Process Earth science data on demand via a web service and gain low-latency access to customized data products using parameters supplied at the time of request.
Type: Downloadable Software
Customization Capabilities:
data reformatting
Output Formats:
HDF5
Visualize
Analyze
Search & Discover
GIS
Customize
Find, download, and process select SMAP L3 and L4 data products using this R package. This tool includes functions to extract gridded products and reformat to a GeoTIFF.
Supported software languages:
R
Type: Downloadable Software
Customization Capabilities:
data reformatting
variable subsetting
Output Formats:
GEOTIFF
HDF5
Analyze
Visualize
Search & Discover
GIS
Customize
A Python-based Jupyter Notebook demonstrating how to access and visualize coincident snow data from the NSIDC DAAC across in-situ, airborne, and satellite platforms from NASA's SnowEx, ASO, and MODIS data sets, respectively.
Supported software languages:
Python
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
Output Formats:
CSV
GEOTIFF
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