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Geospatial database of the study boundary, sampled sites, watersheds, and riparian zones developed for the U.S. Geological Survey Midwest Stream Quality Assessment

Dates

Publication Date

Citation

Nakagaki, N., Qi, S.L., Frey, J.W., Button, D.T., Baker, N.T., Burley, T.E., and Van Metre, P.C., 2016, Geospatial database of the study boundary, sampled sites, watersheds, and riparian zones for U.S. Geological Survey Midwest Stream Quality Assessment: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7CN7202.

Summary

In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012). To meet this objective, a framework of fundamental geospatial [...]

Child Items (4)

Contacts

USGS Mission Area :
Water Resources
SDC Data Owner :
California Water Science Center

Purpose

This dataset was created to compile environmental characteristics of the sites sampled for the MSQA study (Nakagaki and others, 2016). These characteristics assist with the analysis and interpretation of surface-water and biota data collected for the MSQA study, and were also used as input into various models.

Map

Spatial Services

ScienceBase WMS

Communities

  • National Water-Quality Assessment Project
  • USGS California Water Science Center
  • USGS Data Release Products

Associated Items

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Data source
Input directly

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7CN7202

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