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    • Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the Northeastern United States (2019)

    Metadata Updated: January 20, 2026

    Tables are presented listing parameters used in logistic regression equations describing drought streamflow probabilities in the Northeastern United States. Streamflow daily data, streamflow monthly mean data, maximum likelihood logistic regression (MLLR) equation explanatory parameters, equation goodness of fit parameters, and Receiver Operating Characteristic (ROC) AUC values identifying the utility of each relation, describe each model of the probability (chance) of a particular streamflow daily value exceeding or not exceeding an identified drought streamflow threshold. These models are key inputs to drought forecasting web applications for the northeastern United states {https://usgs.maps.arcgis.com/apps/MapSeries/index.html?appid=b8c5da617a0e4d628e3e39f7dbd512da}

    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 January 13, 2026
    Metadata Updated Date January 20, 2026

    Metadata Source

    Harvested from DOI USGS DCAT-US

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 13, 2026
    Metadata Updated Date January 20, 2026
    Publisher U.S. Geological Survey
    Maintainer
    Identifier http://datainventory.doi.gov/id/dataset/USGS_5d681d5de4b0c4f70cf15c9b
    Data Last Modified 2021-09-03T00:00:00Z
    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
    Datagov Dedupe Retained 20260120143730
    Harvest Object Id 8c733550-b1fa-48bb-8e47-ab6a4b20aa32
    Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
    Harvest Source Title DOI USGS DCAT-US
    Metadata Type geospatial
    Old Spatial {"type": "Polygon", "coordinates": -84.067382812719, 35.977652111331, -84.067382812719, 47.768574328315, -66.137695313435, 47.768574328315, -66.137695313435, 35.977652111331, -84.067382812719, 35.977652111331}
    Source Datajson Identifier True
    Source Hash c28a3e211905c36dd964993f63d6cf2af1b67f78b2beede2922c2e79f0862a8c
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -84.067382812719, 35.977652111331, -84.067382812719, 47.768574328315, -66.137695313435, 47.768574328315, -66.137695313435, 35.977652111331, -84.067382812719, 35.977652111331}

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