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    • Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017

    Metadata Updated: July 6, 2024

    This data release includes three types of data used in habitat modeling, and predictions from the habitat models. (1) Predictor rasters for proportion urban development within 1-km radius, proportion exurban within 1-km radius, vector ruggedness measure (VRM) within 500-m radius, topographic position index (TPI) within 500-m radius. (2) Twenty-nine null models for space use for 29 different golden eagles. (3) Twenty-nine response variable rasters of eagle locations per cell for 29 golden eagles. (4) A raster for predicted population-level probability of habitat selection and contours for predicted population-level probability of habitat selection and contours. These data support the following publication: Tracey, J.A., Madden, M.C., Bloom, P.H., Katzner, T.E., and Fisher, R.N., 2018, Golden eagle (Aquila chrysaetos) habitat selection as a function of land use and terrain, San Diego County, California: U.S. Geological Survey Open-File Report 2018-1067, 13 p., https://doi.org/10.3133/ofr20181067 References: Tracey, J.A., Madden, M.C., Sebes, J.B., Bloom, P.H., Katzner, T.E., and Fisher, R.N. (2016) Biotelemetry data for golden eagles (Aquila chrysaetos) captured in coastal southern California, November 2014–February 2016: U.S. Geological Survey Data Series 994, 32 p., http://dx.doi.org/10.3133/ds994. Tracey, J.A., Madden, M.C., Sebes, J.B., Bloom, P.H., Katzner, T.E., and Fisher, R.N. (2017) Biotelemetery data for golden eagles (Aquila chrysaetos) captured in coastal southern California, February 2016–February 2017: U.S. Geological Survey Data Series 1051, 35 p., https://doi.org/10.3133/ds1051.

    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 June 1, 2023
    Metadata Updated Date July 6, 2024

    Metadata Source

    Harvested from DOI EDI

    Other Data Resources

    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/803aa58ab8cd114f4e62f7d007ecbff1
    Identifier USGS:5ac68706e4b0e2c2dd0e2f32
    Data Last Modified 20200830
    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 cf46e7f5-0f95-4c4b-8948-e60a222e3be8
    Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
    Harvest Source Title DOI EDI
    Metadata Type geospatial
    Old Spatial -117.59,32.53,-116.08,33.51
    Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
    Source Datajson Identifier True
    Source Hash 65e30cbc855dbb3835a5e73b1ccfb519951a16bc4323a768a6b98c332dc079b9
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -117.59, 32.53, -117.59, 33.51, -116.08, 33.51, -116.08, 32.53, -117.59, 32.53}

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