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Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the United States (2017)

Metadata Updated: January 6, 2026

A table is presented listing: (1) USGS Gage Station Numbers, (2) Model Identification Tags, (3) Model Term Estimates, (4) Model Term Fit Statistics, and (5) Model Performance Indices for Maximum Likelihood Logistic Regression (MLLR) Models estimating hydrological drought probabilities in the United States. Models were developed using streamflow daily values (DV) readily available from the U.S. Geological Survey National Water Information System (NWIS) and mean monthly streamflows readily computed from NWIS streamflow DV. Models were prepared for 9,144 sites throughout the United States as described in: Modeling Summer Month Hydrological Drought Probabilities In The United States Using Antecedent Flow Conditions by Samuel H. Austin and David L. Nelms, JAWRA 1-14, https://doi.org/10.1111/1752-1688.12562.

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.

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Dates

Metadata Created Date January 6, 2026
Metadata Updated Date January 6, 2026

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date January 6, 2026
Metadata Updated Date January 6, 2026
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/USGS_58e25518e4b09da67996a6c4
Data Last Modified 2020-08-27T00:00:00Z
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://ddi.doi.gov/usgs-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 1c2a59c3-3dfe-4e8d-ac88-366130b22aed
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -169.14550780945, 15.029263193255, -59.809570313819, 72.945302824054
Source Datajson Identifier True
Source Hash 0eebb3486a37cca3383da5e93c152b3b2dbca2985d8200c89570f54967e7ddd8
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -169.14550780945, 15.029263193255, -169.14550780945, 72.945302824054, -59.809570313819, 72.945302824054, -59.809570313819, 15.029263193255, -169.14550780945, 15.029263193255}

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