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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, high population size, and no climate component. 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 (vertical and directional) and number...
This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency “Bat Grid” monitoring program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat)....
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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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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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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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River bathymetry surveys were collected in the summer and fall of 2016 along the lower Chetco River, Oregon. These surveys were collected using a real time kinematic global positioning system (RTK-GPS) and an echo sounder mounted on a motorboat and also behind a kayak at various cross sections and longitudinal profiles along the river. These datasets were collected in support of a funded effort investigating the cause of salt water intrusion that has taken place at the water intake facility for Harbor City, Oregon. The surveys were collected at sections approximately 0.4 river miles downstream to 0.8 river miles upstream of the Harbor City water intake structure and also at the city of Brookings water intake facility,...
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The U.S. Geological Survey (USGS) in cooperation with the U.S. Army Corps of Engineers (USACE) conducted a bathymetric survey of the White River immediately downstream of the Beaver Reservoir Dam in Carroll County, Arkansas, on January 22, 2020. Channel-bed elevations were collected to support a USACE hydraulic modeling effort on the White River. Cross-sectional data within the river channel were collected using an acoustic Doppler current profiler (ADCP) coupled with a differentially corrected global positioning system (GPS) receiver. Water-depth data were converted to channel-bed elevation data by subtracting the depth value from the GPS derived water-surface elevation. Additional channel elevations (topographic...
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This data release contains coastal wetland synthesis products for the geographic region of north shore Long Island, New York. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and mean tidal range, are calculated for smaller units delineated from a Digital Elevation Model, providing the spatial variability of physical factors that influence wetland health. Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability and ecosystem...
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This dataset includes audiomagnetotelluric (AMT) sounding data collected in 2008 in and near the Patagonia Mountains of southern Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service. The USGS used AMT data at six sites along a southwest-northeast profile of about 10 kilometers (km) across the northwest-trending Sunnyside porphyry copper system.
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Four boreholes (MW1, MW1UZ, MW2, MW2.1) were drilled in the fall of 2017 and summer of 2018 in upper Redwell Basin, a headwater catchment underlain by hydrothermally altered sedimentary rock in the Elk Mountains near the town of Crested Butte, Colorado. The boreholes were continuously cored using a wireline HQ-sized coring system and sample a combination of Quaternary-aged surficial colluvium and the Cretaceous-aged Mesaverde Formation. In-situ injection-based hydraulic tests were performed in MW1 and MW2 during drilling while advancing using a single-packer apparatus in tandem with an in-line flow meter and interval pressure monitoring. Borehole geophysical logging was performed in MW1, MW1UZ, and MW2.1 in the...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Colorado, Crested Butte, Cretaceous, Elk Mountains, GGGSC, All tags...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Geophysical measurements and related field data were collected by the U.S. Geological Survey (USGS) at the Alaska Peatland Experiment (APEX) site in Interior Alaska from 2018 to 2020 to characterize subsurface thermal and hydrologic conditions along a permafrost thaw gradient. The APEX site is managed by the Bonanza Creek LTER (Long Term Ecological Research). In July 2018, soil temperature and moisture sensors were installed at six out of the nine instrument locations (APEX1, APEX2, APEX3, APEX4, APEX7, APEX9). Thermistors (PS103J2, US Sensor, Orange, CA, USA) were placed at depths of 5, 30, 60, 120, and 180 centimeters (cm) with three replicates. Three sites (APEX1, APEX4, APEX9) contained an additional single...
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This data provides county level occurrence information for all individuals used in modelling potential exposure and spread of highly pathogenic avian influenza (HPAIv) from the 2021-2022 North American outbreak. The data set contains individual identifiers and taxa information, an indicator of exposure, exposure status (Susceptible, Exposed by HPAIv detection in the county, or Exposed by secondary contact with an exposed bird), and date of first occurrence of each individual bird and that bird's exposure status within each visited county. Herein, county refers to any county, parish, borough, census area, or geographic region identified in the associated geospatial data US_CAN_AI.shp (ESRI shapefile format). Occurrence...
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This dataset describes groundwater quality monitoring wells in the vicinity of the Badger Army Ammunition Plant in Sauk County, Wisconsin, and information associated with each unique well. This includes the values used for mapping plume boundaries, concentration trends for contaminants in each individual well, and monitoring optimization results from the Monitoring and Redediation Optimization System (MAROS) analysis.
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This data release contains the boundaries of assessment units and input data for the assessment of undiscovered oil and gas resources in the Mowry formation of the Wind River Basin Province in Wyoming. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within...
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Geospatial datasets were developed to estimate the depth to the top of the Dakota Sandstone in feet below land surface datum within the Ute Mountain Ute Reservation in Colorado. This study was completed by the U.S. Geological Survey (USGS) in cooperation with the Ute Mountain Ute Tribe. One dataset was created for the contours showing the altitude (in feet) of the top of the Dakota Sandstone (shapefile Kd_talt_hand), and a second dataset was created for polygons representing the outcrops of the Dakota Sandstone (shapefile Dakota_outcrop_poly). These two datasets were used in combination with USGS digital elevation models (DEM) to create a dataset for the depth of the top of the Dakota Sandstone below the land surface...
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Digitization of a selection of oil and gas well pad sites in the Piceance region of Western Colorado. A random sample of 146 pad locations from the "Digitized Piceance Oil and Gas Pads of Western Colorado, 2015" were used to identify the locations digitized in this dataset. The 146 polygons spatially intersect polygons in the 2015 shape file, but are not completely contained within the 2015 polygons. Well pad sites were delineated using a modified version of the Rapid Land Cover Mapping protocol (Preston and Kim, 2016). The base imagery used to delineate boundaries is the 2005 National Agriculture Imagery Program (NAIP) imagery. Preston, Todd M, and Kevin Kim. 2016. “Land Cover Changes Associated with Recent Energy...
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This data release contains the boundaries of assessment units and input data for the assessment of undiscovered gas resources in the Williston Basin province in Montana, North Dakota and South Dakota. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within...


map background search result map search result map River bathymetry cross sectional surveys and profiles on the lower Chetco River, Oregon, Summer and Fall 2016 North American Grid-Based Sampling Frame: Alaska and Canada at a 5x5km resolution Greater sage-grouse population change (percent change) in a low oil and gas development, high population estimate scenario, and with no effects of climate change (2006-2062) 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 Geospatial datasets for estimating depth to the top of the Dakota Sandstone, Ute Mountain Ute Reservation, Colorado, 2017 Development: Development delineation: Fire Island, NY, 2010–2011 Development: Development delineation: Fire Island, NY, 2014–2015 Development: Development delineation: Rockaway Peninsula, NY, 2010–2011 Digitized oil and gas pads in the Piceance Basin of Western Colorado in 2005 based on a sample from 2015 data Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona Channel-Bed Elevations of the White River Immediately Downstream of the Beaver Reservoir Dam, Carroll County, Arkansas, 2020 Unvegetated to vegetated ratio of marsh units in north shore Long Island salt marsh complex, New York Hydrologic and geophysical data from high-elevation boreholes in Redwell Basin near Crested Butte, Colorado Groundwater Quality Monitoring Network Wells at Badger Army Ammunition Plant, Wisconsin, 2000-2018 APEX Soil Temperature and Moisture Data from 2018-2020 USGS National and Global Oil and Gas Assessment Project - Wind River Basin, Mowry Shale Formation Assessment Unit Boundaries and Assessment Input Data Forms USGS National and Global Oil and Gas Assessment Project - Williston Basin, Gas Assessment Unit Boundaries and Assessment Input Data Forms Timing of Occurrence of Waterfowl in U.S. Counties and Canadian Counties, Boroughs, Census Districts, and Other Populated Area Designations with Modeled Exposure Status to Highly Pathogenic Avian Influenza Virus in 2021-2022 APEX Soil Temperature and Moisture Data from 2018-2020 Channel-Bed Elevations of the White River Immediately Downstream of the Beaver Reservoir Dam, Carroll County, Arkansas, 2020 Hydrologic and geophysical data from high-elevation boreholes in Redwell Basin near Crested Butte, Colorado River bathymetry cross sectional surveys and profiles on the lower Chetco River, Oregon, Summer and Fall 2016 Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona Groundwater Quality Monitoring Network Wells at Badger Army Ammunition Plant, Wisconsin, 2000-2018 Development: Development delineation: Rockaway Peninsula, NY, 2010–2011 Development: Development delineation: Fire Island, NY, 2014–2015 Development: Development delineation: Fire Island, NY, 2010–2011 USGS National and Global Oil and Gas Assessment Project - Wind River Basin, Mowry Shale Formation Assessment Unit Boundaries and Assessment Input Data Forms Digitized oil and gas pads in the Piceance Basin of Western Colorado in 2005 based on a sample from 2015 data Greater sage-grouse population change (percent change) in a low oil and gas development, high population estimate scenario, and with no effects of climate change (2006-2062) 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 USGS National and Global Oil and Gas Assessment Project - Williston Basin, Gas Assessment Unit Boundaries and Assessment Input Data Forms Timing of Occurrence of Waterfowl in U.S. Counties and Canadian Counties, Boroughs, Census Districts, and Other Populated Area Designations with Modeled Exposure Status to Highly Pathogenic Avian Influenza Virus in 2021-2022 North American Grid-Based Sampling Frame: Alaska and Canada at a 5x5km resolution