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Multi-stressor Predictive Models of Invertebrate Condition in the Corn Belt, U.S.A.

Metadata Updated: July 6, 2024

The data set includes the macroinvertebrate metrics calculated by IDAS software (Cuffney 2003, USGS OFR 03-172) for the Midwest Stream Quality Assessment (MSQA). Invert data is taxonomic data that has been summarized into variables called metrics that summarize various components of the taxonomic data. The original taxonomic data comes from USGS BioData.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/92c658473f2607d43f448293482fe71c
Identifier USGS:58924830e4b072a7ac1488a6
Data Last Modified 20200827
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 092f464b-68d1-4afa-ba44-ebe0cd993ae7
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -99.987,36.433,-81.378,45.372
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 0be41824c3446314c7f9ce60aee6b45a74ec0827704f884d1fbedeef3dbcf6b1
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -99.987, 36.433, -99.987, 45.372, -81.378, 45.372, -81.378, 36.433, -99.987, 36.433}

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