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This data set defines boundaries of oil and gas project areas, greater sage-grouse (Centrocercus urophasianus) core areas, and non-core and non-project areas within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Specifically, the data represents results from the manuscript “Combined influences of future oil and gas development and climate on potential Sage-grouse declines and redistribution” for low oil and gas development, low population size, and with effects of climate change under an RCP 8.5 scenario (2050). The oil and gas development scenario were based on an energy footprint model that simulates well, pad, and road patterns for oil and gas recovery options that vary in well types...
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We evaluated three walking paces to estimate (1) how snake detection rate per unit distance changes with increasing pace, and (2) how total number of snakes found by the end of a night of surveying varies with pace when the amount of surveying time per night is held constant. For a “fast” pace we searched the 220 meter-long transect in 10 minutes, corresponding to a walking pace of 1.32 km/h, whereas for a “medium” pace we searched 17.5 minutes, corresponding to a pace of approximately 0.75 km/h. The “slow” pace was the 30 minutes (0.44 km/h) the standard previously adopted for work on Guam. Perch height and sizes of detected snakes were recorded for the three paces.
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nv_lvl7_coarsescale: Nevada hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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nv_lvl2_finescale: Nevada hierarchical cluster level 2 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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wy_lvl6_coarsescale: Wyoming hierarchical cluster level 6 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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Active channel as defined by remote sensing before (2010) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada.
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Data included in this data set are for blue vane trap captured native bees from Logan County, Colorado starting in 2012 and ending in 2014. Data collected were the number of bees captured per date, per field, and identified to genus. Net level data contains 16,229 records.
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This data release includes video files and image-processing results used to conduct the analyses of hibernation patterns in groups of bats reported by Hayman et al. (2017), "Long-term video surveillance and automated analyses reveal arousal patterns in groups of hibernating bats.” Thermal-imaging surveillance video cameras were used to observe little brown bats (Myotis lucifugus) in a cave in Virginia and Indiana bats (M. sodalis) in a cave in Indiana during three winters between 2011 and 2014. There are 740 video files used for analysis (‘Analysis videos’), organized into 7 folders by state/site and winter. Total size of the video data set is 14.1 gigabytes. Each video file in this analysis set represents one...
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This data bundle contains some of the inputs, all of the processing instructions and all outputs from a single VisTrails/SAHM workflow. This model specifically includes location data for Bombina orientalis and random background locations. Predictors include climatic, topographic, and land cover rasters. The three bundle documentation files are: 1) '_archive_bundle_metadata.xml' which contains FGDC metadata describing the archive bundle. 2) '_archive_raster_inputs.csv' a list of the raster inputs that were used to generate these model results. These are not included in the archive bundle due to size constraints but are identified in this file as well as the metadata document. 3) '_archive_workflow_Final runs.vt'...
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Bacterial Data include results of incubations of lakewater bacteria with dissolved organic matter extracted from Colorado glacier or rock glacier outflows in 2015. Cells were counted pre- and post- incubations. The “Counts” tab is the number of cells counted in each view of the microscope using the acridine orange method. “C Calculations” tab is the calculation of carbon as bacterial biomass from cell counts. ”Change in cell counts” is the difference in the number of bacterial cells from the pre-incubation microbial culture and in each assay bottle after the biological oxygen demand incubation. The third tab, “Carbon use efficiency” is calculated as the amount of DOM from oxygen demand assays converted to microbial...
Here we present the map of potential suitable habitat for Coachella Valley milk-vetch (Astragalus lentiginosus var. coachellae). The data indicate both how many models predicted each location to be potentially suitable for the species and the average standardized habitat suitability score for each location.Data are presented at a spatial resolution of 10 m pixels, which was required to harmonize the original model inputs. However, maps of suitable habitat should be used at a resolution no smaller than 360 m (i.e., 36 pixels x 36 pixels), which corresponds with the resolution of the coarsest model input. These data are intended to be used only to target future plant surveys in areas where new occurrences are most...
Here we present the map of potential suitable habitat for Mountain springs bush lupine (Lupinus excubitus var. medius). The data indicate both how many models predicted each location to be potentially suitable for the species and the average standardized habitat suitability score for each location.Data are presented at a spatial resolution of 10 m pixels, which was required to harmonize the original model inputs. However, maps of suitable habitat should be used at a resolution no smaller than 360 m (i.e., 36 pixels x 36 pixels), which corresponds with the resolution of the coarsest model input. These data are intended to be used only to target future plant surveys in areas where new occurrences are most likely to...
Here we present the map of potential suitable habitat for Tehachapi monardella (Monardella linoides ssp. Oblonga). The data indicate both how many models predicted each location to be potentially suitable for the species and the average standardized habitat suitability score for each location.Data are presented at a spatial resolution of 10 m pixels, which was required to harmonize the original model inputs. However, maps of suitable habitat should be used at a resolution no smaller than 360 m (i.e., 36 pixels x 36 pixels), which corresponds with the resolution of the coarsest model input. These data are intended to be used only to target future plant surveys in areas where new occurrences are most likely to benefit...
Here we present the map of potential suitable habitat for Amargosa niterwort (Nitrophila mohavensis). The data indicate both how many models predicted each location to be potentially suitable for the species and the average standardized habitat suitability score for each location.Data are presented at a spatial resolution of 10 m pixels, which was required to harmonize the original model inputs. However, maps of suitable habitat should be used at a resolution no smaller than 360 m (i.e., 36 pixels x 36 pixels), which corresponds with the resolution of the coarsest model input. These data are intended to be used only to target future plant surveys in areas where new occurrences are most likely to benefit future habitat...
Here we present the map of probable suitable habitat for Cushenberry buckwheat (Eriogonum ovalifolium var. vineum). The data indicate both how many models predicted each location to be suitable for the species, and the average standardized habitat suitability score for each location.Data are presented at a spatial resolution of 10 m pixels, which was required to harmonize the original model inputs. However, maps of suitable habitat should be used at a resolution no smaller than 360 m (i.e., 36 pixels x 36 pixels), which corresponds with the resolution of the coarsest model input. This product can be used to inform future conservation, planning, and management actions in the California desert. Complete methods and...
Here we present the map of potential suitable habitat for Parish’s daisy (Erigeron parishii). The data indicate both how many models predicted each location to be potentially suitable for the species and the average standardized habitat suitability score for each location.Data are presented at a spatial resolution of 10 m pixels, which was required to harmonize the original model inputs. However, maps of suitable habitat should be used at a resolution no smaller than 360 m (i.e., 36 pixels x 36 pixels), which corresponds with the resolution of the coarsest model input. These data are intended to be used only to target future plant surveys in areas where new occurrences are most likely to benefit future habitat modelling...
Here we present the map of probable suitable habitat for Pale-yellow layia (Layia heterotricha). The data indicate both how many models predicted each location to be suitable for the species, and the average standardized habitat suitability score for each location.Data are presented at a spatial resolution of 10 m pixels, which was required to harmonize the original model inputs. However, maps of suitable habitat should be used at a resolution no smaller than 360 m (i.e., 36 pixels x 36 pixels), which corresponds with the resolution of the coarsest model input. This product can be used to inform future conservation, planning, and management actions in the California desert. Complete methods and other additional...
Here we present the map of probable suitable habitat for Harwood's eriastrum (Eriastrum harwoodii). The data indicate both how many models predicted each location to be suitable for the species, and the average standardized habitat suitability score for each location.Data are presented at a spatial resolution of 10 m pixels, which was required to harmonize the original model inputs. However, maps of suitable habitat should be used at a resolution no smaller than 360 m (i.e., 36 pixels x 36 pixels), which corresponds with the resolution of the coarsest model input. This product can be used to inform future conservation, planning, and management actions in the California desert. Complete methods and other additional...
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Management of transportation networks is affected by, and has effects on, natural and cultural resources through direct and indirect interactions. Until recently, the availability of such spatially explicit information has been limited; however, the data released here to the public will prove valuable for comparing existing networks and planning options with respect to potential impact to, or from, environmental factors across broad areas, for example, States and Agency Planning Regions. Integrated network and resource analyses can provide insights into potential construction and maintenance costs as well as safety risks and environmental impacts during project planning and assessment. A cooperative project was...
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This data bundle contains some of the inputs, all of the processing instructions and all outputs from a single VisTrails/SAHM workflow. This model specifically includes field data of thinned occurrence locations and random background locations and un-thinned occurrence locations and targeted background locations for three species of tegu lizards in South America. Predictors included bioclimatic, tree cover, season length, potential evapotranspiration and solar radiation index rasters. Details about both inputs are included in the associated manuscript. The three bundle documentation files are: 1) '_archive_bundle_metadata.xml' (this file) which contains FGDC metadata describing the archive bundle. 2) 'PredictorList.csv'...


map background search result map search result map Compilation and Assessment of Resource Values and Hazards to Inform Transportation and Associated Land-use Planning Long-term video surveillance and automated analyses of hibernating bats in Virginia and Indiana, winters 2011-2014. Data for modeling tegu lizard distributions in the Americas Greater sage-grouse population change (percent change) over 50-years in a low oil and gas development, low population estimate scenario, and with effects of climate change under an RCP 8.5 scenario (2050) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 6 (Wyoming), Interim Native Bee Genera in Colorado Conservation Reserve Program Fields, Collected from 2012-2014 Laboratory Incubation results from 2015 for bacterial cell counts, carbon use efficiency, growth efficiency, and dissolved organic matter chemistry from four glacier outflows and four rock glacier outflows in Colorado Brown Treesnake counts during visual encounter surveys at three walking paces, Guam 2016 Active channel in the Lower Virgin River before a 40 yr flood (December 2010) Laboratory Incubation results from 2015 for bacterial cell counts, carbon use efficiency, growth efficiency, and dissolved organic matter chemistry from four glacier outflows and four rock glacier outflows in Colorado Active channel in the Lower Virgin River before a 40 yr flood (December 2010) Brown Treesnake counts during visual encounter surveys at three walking paces, Guam 2016 Long-term video surveillance and automated analyses of hibernating bats in Virginia and Indiana, winters 2011-2014. Greater sage-grouse population change (percent change) over 50-years in a low oil and gas development, low population estimate scenario, and with effects of climate change under an RCP 8.5 scenario (2050) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 6 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Nevada), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Nevada), Interim Compilation and Assessment of Resource Values and Hazards to Inform Transportation and Associated Land-use Planning Data for modeling tegu lizard distributions in the Americas