{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Richard Inman", "hasEmail": "mailto:rdinman@usgs.gov"}, "description": "This dataset provides spatial predictions of habitat suitability for current (1950 \u2013 2000 yr) and mid-Holocene (8.3 ka \u2013 4.2 ka) intervals using hindcasting, and three separate paleo-distributions calibrated on the packrat midden archive: those without bias correction (na\u00efve), those created with a standard method (standard), and those created with a novel alternative (modeled) incorporating a three-stage model of bias. The raster layers contained here accompany the manuscript Inman et al. 2018 and were used to evaluate utility of a novel bias correction method (modeled) over classic methods. Spatial predictions of habitat suitability were created using MaxEnt version 3.4.0 (Phillips et al., 2006), a widely-used software for SDM in presence-background frameworks. Detailed methods are provided in Inman et al. 2018.\nThe files within the zipped folder are as listed below:\nAbies_concolor_midHolocene_hindcast_mean.asc,\nAbies_concolor_midHolocene_hindcast_stderr.asc,\nAbies_concolor_midHolocene_modeled_mean.asc,\nAbies_concolor_midHolocene_modeled_stderr.asc,\nAbies_concolor_midHolocene_naive_mean.asc,\nAbies_concolor_midHolocene_naive_stderr.asc,\nAbies_concolor_midHolocene_standard_mean.asc,\nAbies_concolor_midHolocene_standard_stderr.asc,\nAbies_concolor_PresentDay_mean.asc,\nAbies_concolor_PresentDay_stderr.asc,\nArtemisia_tridentata_midHolocene_hindcast_mean.asc,\nArtemisia_tridentata_midHolocene_hindcast_stderr.asc,\nArtemisia_tridentata_midHolocene_modeled_mean.asc,\nArtemisia_tridentata_midHolocene_modeled_stderr.asc,\nArtemisia_tridentata_midHolocene_naive_mean.asc,\nArtemisia_tridentata_midHolocene_naive_stderr.asc,\nArtemisia_tridentata_midHolocene_standard_mean.asc,\nArtemisia_tridentata_midHolocene_standard_stderr.asc,\nArtemisia_tridentata_PresentDay_mean.asc,\nArtemisia_tridentata_PresentDay_stderr.asc,\nColeogyne_ramosissima_midHolocene_hindcast_mean.asc,\nColeogyne_ramosissima_midHolocene_hindcast_stderr.asc,\nColeogyne_ramosissima_midHolocene_modeled_mean.asc,\nColeogyne_ramosissima_midHolocene_modeled_stderr.asc,\nColeogyne_ramosissima_midHolocene_naive_mean.asc,\nColeogyne_ramosissima_midHolocene_naive_stderr.asc,\nColeogyne_ramosissima_midHolocene_standard_mean.asc,\nColeogyne_ramosissima_midHolocene_standard_stderr.asc,\nColeogyne_ramosissima_PresentDay_mean.asc,\nColeogyne_ramosissima_PresentDay_stderr.asc,\nJuniperus_communis_midHolocene_hindcast_mean.asc,\nJuniperus_communis_midHolocene_hindcast_stderr.asc,\nJuniperus_communis_midHolocene_modeled_mean.asc,\nJuniperus_communis_midHolocene_modeled_stderr.asc,\nJuniperus_communis_midHolocene_naive_mean.asc,\nJuniperus_communis_midHolocene_naive_stderr.asc,\nJuniperus_communis_midHolocene_standard_mean.asc,\nJuniperus_communis_midHolocene_standard_stderr.asc,\nJuniperus_communis_PresentDay_mean.asc,\nJuniperus_communis_PresentDay_stderr.asc,\nPinus_ponderosa_midHolocene_hindcast_mean.asc,\nPinus_ponderosa_midHolocene_hindcast_stderr.asc,\nPinus_ponderosa_midHolocene_modeled_mean.asc,\nPinus_ponderosa_midHolocene_modeled_stderr.asc,\nPinus_ponderosa_midHolocene_naive_mean.asc,\nPinus_ponderosa_midHolocene_naive_stderr.asc,\nPinus_ponderosa_midHolocene_standard_mean.asc,\nPinus_ponderosa_midHolocene_standard_stderr.asc,\nPinus_ponderosa_PresentDay_mean.asc,\nPinus_ponderosa_PresentDay_stderr.asc,\nQuercus_gambelii_midHolocene_hindcast_mean.asc,\nQuercus_gambelii_midHolocene_hindcast_stderr.asc,\nQuercus_gambelii_midHolocene_modeled_mean.asc,\nQuercus_gambelii_midHolocene_modeled_stderr.asc,\nQuercus_gambelii_midHolocene_naive_mean.asc,\nQuercus_gambelii_midHolocene_naive_stderr.asc,\nQuercus_gambelii_midHolocene_standard_mean.asc,\nQuercus_gambelii_midHolocene_standard_stderr.asc,\nQuercus_gambelii_PresentDay_mean.asc,\nQuercus_gambelii_PresentDay_stderr.asc\nThese data support the following publication:\nInman et al., 2018, Spatial sampling bias in the Neotoma paleoecological archives affects species paleo-distribution models. Quaternary Science Reviews. xxx.xxx.\nReferences:\nPhillips, S.J., Anderson, R.P., Schapire, R.E., 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190, 231\u2013259. doi:10.1016/j.ecolmodel.2005.03.026", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P9843JFT", "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.5b7da9f0e4b045b1dc7beb81.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5b7da9f0e4b045b1dc7beb81", "keyword": ["Data analysis", "Data treatment", "Holocene", "Macrofossils", "Niche Breadth", "North America", "Paleogeography", "Spatial Sampling Bias", "Species Distribution Modeling", "USGS:5b7da9f0e4b045b1dc7beb81", "Western USA", "biota", "forests", "geospatial analysis", "shrublands", "statistical anaysis"], "modified": "2020-08-27T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-127.8725, 22.8763, -100.3563, 51.5723", "theme": ["geospatial"], "title": "Spatial predictions of habitat suitability for present-day (1950 \u2013 2000 yr) and mid-Holocene (8.3 ka \u2013 4.2 ka) time intervals"}