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The data set contains temporal chloride concentrations (mg/L) and specific conductance (uS/cm) values for 32 wetlands and groundwater monitoring wells as well as the date(s) sampled and the laboratory where the water quality analyses were conducted. The ratio of chloride concentration to specific conductance is referred to as the Contamination Index. In this region, values greater than 0.035 are used to identify water quality samples that are contaminated with co-produced water from energy development.
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Ken Pierce was a Research Geologist with the U.S. Geological Survey for over 55 years and authored numerous scientific papers, geologic maps, and field trip guides. This data release contains digital scans of 64 field notebooks 713 annotated aerial photographs, and 640 annotated geologic and topographic maps authored or annotated by Ken Pierce or his collaborators. Information contained in these notebooks, aerial photographs, and maps provide much of the underpinning of Ken Pierce's research, which focused largely on the glacial and geomorphological history of Yellowstone National Park and surrounding areas.
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Shallow subsurface electrical conductivity was mapped at selected U.S. Fish and Wildlife Service managed lands in northeast Montana and northwest North Dakota using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winters of 2017 and 2018. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 427 line-kilometers (km) of data were acquired over an area of nearly 26 square-kilometers. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Anderson, Beaver Lake, Bigslough, Divide County, ND, Dog Leg, All tags...
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Shallow subsurface electrical conductivity was mapped at Ward National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 15 line-kilometers (km) of data were acquired over an area of approximately .5 square-kilometers. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey path;...
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The surface water water-quality data were compiled from Water Quality Portal (https://www.waterqualitydata.us/) (National Water Quality Monitoring Council, 2015), USGS’s NAWQA Project’s data compilation (Oelsner and others, 2017) or the Montana Bureau of Mines and Geology (Montana Bureau of Mines, 2021), The compilation contains data for chloride, pH, specific conductance, sulfate, total dissolved solids (TDS) collected between water year 1970 to 2014. In addition 10 metals (aluminum, arsenic, barium, chromium, copper, iron, lead, selenium strontium, and zinc) analyzed during water years 1993 through 2014. National Water-Quality Monitoring Council, 2015, Water Quality Portal: National Water-Quality Monitoring Council,...
Novel approaches for quantifying density and distributions could help biologists adaptively manage wildlife populations, particularly if methods are accurate, consistent, cost-effective, rapid, and sensitive to change. Such approaches may also improve research on interactions between density and processes of interest such as disease transmission across multiple populations. We assess how satellite imagery, unmanned aerial systems (UAS) imagery, and Global Positioning System (GPS) collar data vary in characterizing elk density, distribution and count patterns across times with and without supplemental feeding at the National Elk Refuge (NER), Wyoming, USA. We also present the first comparison of satellite imagery...
Categories: Publication; Types: Citation
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A set of comma-separated value tables containing data for streamflow, water quality, surface-water features, and produced waters in the energy development area of the Williston Basin in eastern Montana, western North Dakota, and northwest South Dakota.
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Oil and gas development in the Williston Basin often involves the extraction of saline brines and presents a major source of saline contamination to surface and groundwater resources. The Prairie Pothole Region (PPR) is superimposed over much of the Williston Basin and provides critical habitats for migratory birds and waterfowl. Surface and shallow groundwaters in the PPR often contain high levels of total dissolved solids (TDS); however, salts produced from energy development are chemically different than the near-surface salts. To differentiate between saline contaminated and naturally high TDS water samples, Reiten and Tischmak (1993) developed a Contamination Index (CI = chloride concentration / specific conductance),...
This folder contains the orthoimagery, digital elevation model (DEM), digital terrain model (DTM), final surface model, and vegetation classification model for basin A1.
This folder contains the orthoimagery, digital elevation model (DEM), digital terrain model (DTM), final surface model (SRF), and vegetation classification model (Veg) for basin B1.
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The goal of this project was to develop a novel methodology to combine the USGS Gap Analysis Program (GAP) national land cover and species distribution data with disturbance data to describe and predict how disturbance affects biodiversity. Specifically, the project team presented a case study examining how energy development in the Williston Basin can affect grassland birds; however, the methods developed are scalable and transferable to other types of habitat conversion (anthropogenic or natural), regions, and taxa. This project had six key components: Develop a dataset delineating all oil well pads in the Williston Basin. Develop a habitat conversion tool to determine the amount and previous land cover from...
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Shallow subsurface electrical conductivity was mapped at Goose Lake National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 15 line-kilometers (km) of data were acquired over an area of approximately 1 square-kilometer. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey...
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Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources are described in terms of characteristics of the groundwater; streams and rivers; and lakes, reservoirs, and wetlands of the area in terms of physical occurrence, flow characteristics, water quality, and water use.
map background search result map search result map Reexamining saline contamination associated with oil and gas development in the Prairie Pothole Region, Sheridan County, MT Results of water resource data aggregations within areas of energy development in the Williston Basin in Montana, North Dakota, and South Dakota Water quality data from the Goose Lake Study Site Eastern Montana 1989-2018 Ground conductivity measurements at selected National Wildlife Refuges, Montana and North Dakota, 2017-2018 Goose Lake NWR, Montana, 2017 Ward NWR, Montana, 2017 Orthoimagery for basin A1 Digital terrain model (DTM) for basin A1 Final surface model (SRF) for basin A2 Orthoimagery for basin B1 Orthoimagery for basin B2 Digital elevation model (DEM) for basin B2 Final surface model (SRF) for basin B2 Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources tables 1-1 to 1-3, 2-1 to 2-6, and 3-1 to 3-32, and figure 1-1 Surface water water-quality data for select constituents in Williston Basin, Montana, North Dakota, and South Dakota for water years 1970-2014 Ken Pierce's Legacy Field Notebooks and Annotated Aerial Photographs, Geological, and Topographical Maps from Across the Western United States 1963-2021 (ver. 2.0, January 2024) Ward NWR, Montana, 2017 Goose Lake NWR, Montana, 2017 Orthoimagery for basin A1 Digital terrain model (DTM) for basin A1 Orthoimagery for basin B2 Final surface model (SRF) for basin B2 Digital elevation model (DEM) for basin B2 Final surface model (SRF) for basin A2 Orthoimagery for basin B1 Water quality data from the Goose Lake Study Site Eastern Montana 1989-2018 Reexamining saline contamination associated with oil and gas development in the Prairie Pothole Region, Sheridan County, MT Ground conductivity measurements at selected National Wildlife Refuges, Montana and North Dakota, 2017-2018 Results of water resource data aggregations within areas of energy development in the Williston Basin in Montana, North Dakota, and South Dakota Surface water water-quality data for select constituents in Williston Basin, Montana, North Dakota, and South Dakota for water years 1970-2014 Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources tables 1-1 to 1-3, 2-1 to 2-6, and 3-1 to 3-32, and figure 1-1 Ken Pierce's Legacy Field Notebooks and Annotated Aerial Photographs, Geological, and Topographical Maps from Across the Western United States 1963-2021 (ver. 2.0, January 2024)