An official website of the United States government.

National Aquatic Resource Surveys

StreamCat Dataset

StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset.

These metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.

Example of a U.S. map created using StreamCat data on percent urbanization within a watershedExample of a U.S. map created using StreamCat data on percent urbanization within a watershed.

Updates & Corrections (Latest update - 20 April 2021)

Be sure to check here for recent updates and corrections to the StreamCat Dataset


Access StreamCat Data

  • Draft StreamCat Web Tools (requires VPN connection) - NOTE!! Currently for internal use only!  Public availability in the near future
  • Data by HydroRegion
  • Data by State
  • Data via EPA WATERS Watershed Characterization Service
    • This is a service providing an HTML report or JSON object listing both standard NHDPlus and StreamCat metrics for a given COMID provided by the user. See HTML Examples in link above, and simply pass a COMID of interest to end of the URL (i.e. pComID=4795168).

StreamCat Documentation

  • A detailed description of the StreamCat Dataset and its development is now available in the Journal of the American Water Resources Association.
  • Please include the following citation in any publication or presentation including StreamCat data: Hill, Ryan A., Marc H. Weber, Scott G. Leibowitz, Anthony R. Olsen, and Darren J. Thornbrugh, 2016. The Stream-Catchment (StreamCat) Dataset: A Database of Watershed Metrics for the Conterminous United States. Journal of the American Water Resources Association (JAWRA) 52:120-128. DOI: 10.1111/1752-1688.12372.
  • The Read Me file provides additional detail and important information on how to access and use the StreamCat Dataset.
  • The Variable List provides a quick reference of available watershed metrics.
  • The Data Dictionary provides a comprehensive description of each watershed metric and how they were derived.
  • Metadata
  • Information on the steps we followed to acquire geospatial layers to develop the StreamCat Dataset, any manipulations done to those data, and quality assurance steps can be found in Data Processing and Quality Assurance.
  • The StreamCat GitHub page has the latest working versions of StreamCat code and a brief description of each script we used to develop the StreamCat Dataset, including examples of tables used to control the processing of StreamCat with.
  • Publications that have referenced StreamCat.

Data Structure

Data are distributed by US State or NHDPlusV2 Hydrologic Region (see Read Me for additional details). Within States or HydroRegions, data are distributed by major data source (e.g., STATSGO Soils, National Land Cover Database).

Map of state and hydrographic regions in the United States


Feedback

We welcome any feedback on StreamCat - email weber.marc@epa.gov.

Disclaimer

Although these data have been processed successfully on a computer system at the United States Environmental Protection Agency (EPA), no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions, or intended use. The EPA shall not be held liable for improper or incorrect use of the data described and/or contained herein.