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Model archive - Regional regression models for estimating flood frequency characteristics of unregulated streams in Wisconsin

Metadata Updated: July 6, 2024

This model archive contains R source code for the Weighted-Multiple Linear Regression Program (WREG), input files, and associated output files needed to recreate regression models that are discussed in the report: Levin, S.B. and Sanocki, C.A., Methods for estimating flood magnitude and frequency for unregulated streams in Wisconsin, U.S. Geological Survey Scientific Investigations Report 2022-5118 ( More information and instructions for running the model archive are included in the README.txt file. Information regarding the WREG program can be found at:

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


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
Identifier USGS:62db0586d34e295035a982ad
Data Last Modified 20230125
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 051aaeee-4a1a-4841-baa2-c8e06f82b7d6
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -92.88,42.48,-86.8,47.07
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash f3ea4be7c82a932f75e08b139faef8482f3db5086c2366e8a2515777d4d5e23a
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -92.88, 42.48, -92.88, 47.07, -86.8, 47.07, -86.8, 42.48, -92.88, 42.48}

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