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GS-NOROCK Data Steward

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USGS scientists evaluated the utility of hidden Markov movement models to characterize seasonal movements of mule deer (Odecoileus hemionus) and pronghorn (Antilocapra americana) that were tracked with GPS collars in Wyoming, USA, during 2014-2021. Data include step lengths and turning angles for individual animals at daily time-steps throughout the tracking period. Models demonstrated distinct seasonal movements between species indicative of migratory behavior and enable analyses to identify influential factors that affect decisions to migrate by animals.
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We mapped potential climate change refugia for riparian areas in the central and western USA for 2040-2069 and 2070-2099. Riparian refugia are existing riparian areas that are projected to maintain riparian vegetation and associated ecological function under plausible future climates. Four input variables were included in the riparian refugia index: two landscape variables that represent where existing riparian areas may be more resilient to climatic changes (riparian connectedness and landscape diversity) and two climate variables that reflect projected exposure to climate change (runoff and warm days). For the climate variables, we considered two global circulation models: moderately hot and wet (CNRM-CM5) and...
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A tabular dataset providing tick survey results around the Jackson Wyoming area between the dates of Oct 25, 2021, and Nov 6, 2021. The data compares a dog surveyor to a human surveyor in both transect and survey plots, recording detection events, total number of tick larvae found, and how long the survey took, and the cost of the survey. A second tabular dataset outlining the associated costs for each survey.
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This data represents occupancy predictions for western bumble bee in 2020 across the western conterminous United States. This product is a 30-meter resolution downscaled version of previously published occupancy layers for the western bumble bee. For more information on original publications, see the publication listed in the Larger Works Cited Section.
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This data release accompanies a U.S Geological Survey study that assessed sediment, salinity, and selenium yields following the Dead Dog wildfire in northwestern Colorado. The Dead Dog fire ignited on June 11, 2017, near Rangely, Colorado, and burned over 17,000 acres, including the B2 study area. Two methodologies were used to quantify erosion and associated salinity and sediment yields in the B2 study area: (1) modeled soil loss post-fire using a physically based erosion model, and (2) measured post-fire volumetric soil erosion and deposition using a time series of digital elevation models (DEMs) created from Uncrewed Aerial Vehicle (UAV) imagery. The first methodology used a physically based erosion model, the...
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