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  <identifier identifierType="DOI">10.7923/9CFT-9G84</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Fremgen-Tarantino, Marcella R.</creatorName>
      <givenName>Marcella R.</givenName>
      <familyName>Fremgen-Tarantino</familyName>
      <affiliation affiliationIdentifier="https://ror.org/02e3zdp86" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Boise State University</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Olsoy, Peter</creatorName>
      <givenName>Peter</givenName>
      <familyName>Olsoy</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0002-8785-0459</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/02e3zdp86" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Boise State University</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Frye, Graham G.</creatorName>
      <givenName>Graham G.</givenName>
      <familyName>Frye</familyName>
      <affiliation affiliationIdentifier="https://ror.org/01j7nq853" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of Alaska Fairbanks</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Connelly, John W.</creatorName>
      <givenName>John W.</givenName>
      <familyName>Connelly</familyName>
      <affiliation affiliationIdentifier="https://ror.org/03fcx9267" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Idaho Department of Fish and Game</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Krakauer, Alan H.</creatorName>
      <givenName>Alan H.</givenName>
      <familyName>Krakauer</familyName>
      <affiliation affiliationIdentifier="https://ror.org/05rrcem69" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Davis</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Patricelli, Gail L.</creatorName>
      <givenName>Gail L.</givenName>
      <familyName>Patricelli</familyName>
      <affiliation affiliationIdentifier="https://ror.org/05rrcem69" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Davis</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Child, Andrew Wright</creatorName>
      <givenName>Andrew Wright</givenName>
      <familyName>Child</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-6666-0739</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/03hbp5t65" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of Idaho</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Sorensen Forbey, Jennifer</creatorName>
      <givenName>Jennifer</givenName>
      <familyName>Sorensen Forbey</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-6069-4049</nameIdentifier>
      <affiliation affiliationIdentifier="https://ror.org/02e3zdp86" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Boise State University</affiliation>
    </creator>
  </creators>
  <titles>
    <title xml:lang="en">Data from: Assessing accuracy of GAP and LANDFIRE land cover datasets in winter habitats used by greater sage-grouse in Idaho and Wyoming, USA</title>
  </titles>
  <publisher>University of Idaho</publisher>
  <publicationYear>2022</publicationYear>
  <resourceType resourceTypeGeneral="Dataset">Dataset</resourceType>
  <subjects>
    <subject subjectScheme="Fields of Science and Technology (FOS)" schemeURI="http://www.oecd.org/science/inno" valueURI="http://www.oecd.org/science/inno/38235147.pdf">FOS: Earth and related environmental sciences</subject>
    <subject subjectScheme="Fields of Science and Technology (FOS)" schemeURI="http://www.oecd.org/science/inno" valueURI="http://www.oecd.org/science/inno/38235147.pdf">FOS: Biological sciences</subject>
    <subject subjectScheme="Fields of Science and Technology (FOS)" schemeURI="http://www.oecd.org/science/inno" valueURI="http://www.oecd.org/science/inno/38235147.pdf">FOS: Environmental engineering</subject>
  </subjects>
  <language>en</language>
  <sizes>
    <size>41 MB</size>
  </sizes>
  <formats>
    <format>csv</format>
    <format>txt</format>
    <format>xlsx</format>
    <format>r</format>
  </formats>
  <version/>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
  </rightsList>
  <descriptions>
    <description xml:lang="en" descriptionType="Abstract">Remotely sensed land cover datasets have been increasingly employed in studies of wildlife habitat use. However, meaningful interpretation of these datasets is dependent on how accurately they estimate habitat features that are important to wildlife. We evaluated the accuracy of the GAP dataset, which is commonly used to classify broad cover categories (e.g., vegetation communities) and LANDFIRE datasets, which are classify narrower cover categories (e.g., plant species) and structural features of vegetation. To evaluate accuracy, we compared classification of cover types and estimates of percent cover and height of sagebrush (Artemisia spp.) derived from GAP and LANDFIRE datasets to field-collected data in winter habitats used by greater sage-grouse (Centrocercus urophasianus). Accuracy was dependent on the type of dataset used as well as the spatial scale (point, 100-m, 1-km and 5-km) and biological level (community versus dominant species) investigated. GAP datasets had the highest overall classification accuracy of broad sagebrush cover types (46.1%) compared to LANDFIRE datasets for narrower cover types (43.8% community-level; 42.6% species-level). Percent cover and height were not accurately estimated in the LANDFIRE dataset. Our results suggest that researchers must be cautious when applying GAP or LANDFIRE datasets to classify narrow categories of land cover types or to predict percent cover or height of sagebrush within sagebrush-dominated landscapes. We conclude that ground-truthing is critical for successful application of land cover datasets in landscape-scale evaluations and management planning, particularly when wildlife use relatively rare habitat types compared to what is available.</description>
  </descriptions>
  <geoLocations>
    <geoLocation>
      <geoLocationPlace>Idaho and Wyoming USA</geoLocationPlace>
      <geoLocationBox>
        <westBoundLongitude>-117</westBoundLongitude>
        <eastBoundLongitude>-108.5</eastBoundLongitude>
        <southBoundLatitude>42</southBoundLatitude>
        <northBoundLatitude>43.5</northBoundLatitude>
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  </geoLocations>
  <fundingReferences>
    <fundingReference>
      <funderName>National Science Foundation</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/100000001</funderIdentifier>
      <awardNumber awardURI="https://www.nsf.gov/awardsearch/showAward?AWD_ID=1757324">OIA‐1757324</awardNumber>
      <awardTitle>RII Track-1: Linking Genome to Phenome to Predict Adaptive Responses of Organisms to Changing Landscapes</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>Idaho Department of Fish and Game</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/100010374</funderIdentifier>
      <awardTitle>Pittman-Robertson Funds</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>National Science Foundation</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/100000001</funderIdentifier>
      <awardNumber awardURI="https://www.nsf.gov/awardsearch/showAward?AWD_ID=1826801">OIA-1826801</awardNumber>
      <awardTitle>RII Track-2 FEC: Genomics Underlying Toxin Tolerance (GUTT): Identifying Molecular Innovations that Predict Phenotypes of Toxin Tolerance in Wild Vertebrate Herbivores</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>U.S. Bureau of Land Management</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/100007149</funderIdentifier>
      <awardNumber>L09AC16253</awardNumber>
    </fundingReference>
    <fundingReference>
      <funderName>U.S. Department of Agriculture</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/100000199</funderIdentifier>
      <awardNumber>CA-D-EVE-2264-H</awardNumber>
    </fundingReference>
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