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
Get Data
Quickly download a few files using a web browser, or access data through a command-line utility such as WGET.
Get Data
Access and download NOAA@NSIDC data using a web browser, or through a command line utility such as WGET, or using programming languages such as R or Python.
Type:
service
Get Data
Download data via FTP using an FTP client, command line utility or a script, e.g., Python
Type:
service
Get Data
Customize
Programmatically request selected data products through our API. This tool is valuable for selecting just the parameters you need from big data sets. Apply spatial and temporal filters, subsetting, reformatting, and reprojection.
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
variable subsetting
Interpolation Options:
Bicubic Interpolation
Bilinear Interpolation
Nearest Neighbor
Output Projections:
Geographic
Universal Transverse Mercator
Polar Stereographic
Sinusoidal
Plate Carree
Output Formats:
HDF-EOS
GEOTIFF
HDF-EOS
Get Data
Programmatically request selected data products through NSIDC's API. Bulk download using spatial and temporal filters, or incorporate data access commands into code/scripts as needed.
Get Data
Customize
Sign up for automatic delivery of new data from active NASA satellite missions. Customize data with reformatting, reprojection, and subsetting if desired.
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
variable subsetting
Get Data
Sign up for automatic delivery of new data from active NASA satellite missions. Data products are delivered via SCP or HTTPS pull.
Get Data
Access data directly from the NASA Earthdata Cloud via Amazon Web Services Simple Storage Service (AWS S3). This access option is only available when working within the us-west-2 region and requires additional AWS S3 credentials.
Type:
service
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
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
Visualize
GIS
Customize
Access georegistered images for data layers from select NSIDC data products. Use OGC protocols (WMS, WFS, and WCS) through HTTP URLs or OGC-compatible clients (ArcMap, QGIS, Google Earth) to access the data.
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
temporal subsetting
variable subsetting
Output Formats:
PNG
GEOTIFF
GIF
HDF-EOS
JPEG
KML
NETCDF-4
PNG
Visualize
Get Data
Search & Discover
Customize
Compare decades of harmonized data across pre-IceBridge, IceBridge, ICESat/GLAS, and ICESat-2 data products. Access and visualize data using a download widget, map-based customization, API code examples, and other tools.
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
temporal subsetting
Visualize
Get Data
Search & Discover
Demonstrates using the earthaccess python package to search for and directly access cloud-hosted ICESat-2 data from an Amazon Compute Cloud (EC2) instance. This python-based Jupyter notebook uses Land Ice Height (ATL06) granules as an example.
Supported software languages:
Python
Analyze
Visualize
Get Data
Search & Discover
Customize
Utilize the Jupyterbook for the latest Hackweek virtual event and learn about the ICESat-2 satellite, data products, data-access tools, and more. Access past hackwork tutorials from the ICESat-2 Hackweek Github Organization listed in the Quick Links.
Supported software languages:
Python
Type: Downloadable Software
Customization Capabilities:
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
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
Get Data
Persistent HTTPS File System that is not affected by regular NSIDC maintenance downtimes. Quickly download a few files using a web browser, or access data through a command-line utility such as WGET.
Type:
service
Visualize
Get Data
Search & Discover
Customize
Search for and download NSIDC DAAC data using the earthaccess python package. This python-based Jupyter notebook also demonstrates geospatial operations to crop and resample one GeoTIFF based on the extent and pixel size of another GeoTIFF, with the end goal of plotting one on top of the other. Two data sets from the NASA MEaSUREs program are used as examples.
Supported software languages:
Python
Customization Capabilities:
spatial subsetting
resampling
Output Formats:
GEOTIFF
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
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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