{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "U.S. Geological Survey, Alaska Science Center", "hasEmail": "mailto:gs-ak_asc_datamanagers@usgs.gov"}, "description": "These data represent movement metrics of adult female grizzly bears and polar bears with and without cubs-of-the-year at seven temporal scales after den departure. Grizzly bear data were collected in the Greater Yellowstone Ecosystem during 2000\u20132021 and in the Northern Continental Divide Ecosystem during 2003\u20132022. Polar bear data were collected in the Southern Beaufort Sea during 1986\u20132016 and in the Chukchi Sea during 2008\u20132017. These data were used to train support vector machines (SVM) used to predict cub presence or absence.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P13KQ2U9", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", "title": "Digital Data"}, {"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.67fd455ad4be0201e1563df6.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_67fd455ad4be0201e1563df6", "keyword": ["Alaska", "Animal behavior", "Animals/Vertebrates", "Bears", "Beaufort Sea", "Behavior", "Biota", "Brown bear", "Carnivores", "Chukchi Sea", "Coastal ecosystems", "Environment", "Grizzly bear", "Idaho", "Mammals", "Marine ecosystems", "Marine mammals", "Montana", "Polar bear", "Species life history", "Telemetry", "Terrestrial ecosystems", "USGS:67fd455ad4be0201e1563df6", "Ursus arctos", "Ursus maritimus", "Wildlife", "Wyoming"], "modified": "2025-04-14T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-170.0, 41.0, -104.0, 72.0", "theme": ["geospatial"], "title": "Movement Metrics of Adult Female Grizzly Bears and Polar Bears Used to Identify Cub Presence with Machine Learning"}