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
By output file type
By language
Visualize
Get Data
Search & Discover
Customize
Discover, access, and visualize data from NASA's ICESat and ICESat-2 missions.
Supported software languages:
Python
Type: Web Application
Customization Capabilities:
spatial subsetting
temporal subsetting
Output Formats:
ASCII
CSV
HDF5
Visualize
Analyze
Get Data
Search & Discover
GIS
Customize
Extract point and area samples from geospatial data via spatial, temporal, and/or parameter subsetting. Preview and interact with samples before downloading. The Application for Extracting and Exploring Analysis Ready Samples tool is only available for select NSIDC data products.
Type: Web Application
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
temporal subsetting
variable subsetting
Output Formats:
CSV
GEOTIFF
HDF-EOS2
HDF5
JSON
Analyze
Visualize
Search & Discover
Customize
Learn how to discover, access, subset, and visualize Arctic sea ice data from Python-based Jupyter Notebooks. Tutorial comes with open-source libraries to harmonize sea ice height from ICESat-2, and ice surface temperature from MODIS.
Supported software languages:
Python
Customization Capabilities:
spatial subsetting
temporal subsetting
variable subsetting
reprojection
Output Formats:
HDF-EOS2
HDF5
Visualize
Explore contents of HDF4 and HDF5 files, including file structure, metadata, and parameter values.
Type: Downloadable Software
Output Formats:
ASCII
HDF4
HDF5
Visualize
Get Data
Search & Discover
Customize
Access ICESat-2 data with as few as three lines of code. This Python software library wraps around APIs supported by the NSIDC DAAC.
Supported software languages:
Python
Type: Downloadable Software
Customization Capabilities:
spatial subsetting
temporal subsetting
variable subsetting
Output Formats:
HDF5
Get Data
Customize
Access selected data products over the internet with NASA's data access protocol. Subset and reformat data through a web browser, command line interface, or custom interface, e.g., C NetCDF- or Java NetCDF-compliant programs.
Customization Capabilities:
data reformatting
spatial subsetting
variable subsetting
Output Formats:
HDF5
ASCII
HDF5
NETCDF-3
NETCDF-4
Visualize
Analyze
Visualize georeferenced arrays in NetCDF, HDF and GRIB formats. Plot data on global or regional maps, choosing from multiple map projections. Overlay continent outlines or masks.
Type: Downloadable Software
Output Formats:
ASCII
CSV
GIF
HDF-EOS2
HDF-EOS5
HDF4
HDF5
JPEG
KML
NETCDF-3
NETCDF-4
PNG
TIFF
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
Get Data
Download, bulk download, or visualize SMAP L3 and L4 data, guided by Python-based Jupyter Notebooks. These notebooks include examples of applying recommended quality flags for SMAP data.
Supported software languages:
Python
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
Showing 12 of 12