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We used the United States National Grid to develop a sampling grid for monitoring programs in the Great Plains Landscape Conservation Cooperative, delineated by Bird Conservation Regions 18 and 19. Landscape Conservation Cooperatives are science based partnerships with the goal to inform and guide conservation at regional landscape levels. Developing a standardized sampling grid for a LCC is a new endeavor and is designed to reduce program costs, avoid repetition in sampling, and increase efficiency in monitoring programs. This is possible because the grid’s nationwide coverage, uniform starting point, and scalability allow researchers to expand their monitoring programs from a small, local level to a regional or...
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
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In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012). To meet this objective, a framework of fundamental...
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The Arctic Coastal Plain (ACP) of Alaska is an important region for millions of migrating and nesting shorebirds. However, this region is threatened by climate change and increased human development (e.g., oil and gas production) that have the potential to greatly impact shorebird populations and breeding habitat in the near future. Because historic data on shorebird distributions in the ACP are very coarse and incomplete, we sought to develop detailed, contemporary distribution maps so that the potential impacts of climate-mediated changes and development could be ascertained. To do this, we developed and mapped habitat suitability indices for eight species of shorebirds (Black-bellied Plover [Pluvialis squatarola],...
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A rich legacy of geochemical data produced since the early 1960s covers the great expanse of Alaska; careful treatment of such data may provide significant and revealing geochemical maps that may be used for landscape geochemistry, mineral resource exploration, and geoenvironmental investigations over large areas. To maximize the spatial density and extent of data coverage for statewide mapping of element distributions, we compiled and integrated analyses of more than 175,000 sediment and soil samples from three major, separate sources: the U.S. Geological Survey, the National Uranium Resource Evaluation program, and the Alaska Division of Geological & Geophysical Surveys geochemical databases. Various types of...
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This represents the flowline network in Western Lale Erie Restoration Assessment (WLERA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, FWHydrography, Great Lakes, Hydrography, All tags...
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Northeast SJV (NESJV), Southeast SJV (SESJV), Western SJV (WSJV), and Southern SJV (SSJV). These regions were primarily defined from the California Department of Water Resources SJV groundwater subbasins (CDWR, 2003); minor modifications were made to the CDWR defined subbasin boundaries to optimize separation of groundwater derived from the Sierra Nevada to the east and from the Coast Ranges to the west under predevelopment conditions. Each region was divided into equal-area grid cells, ranging from 280 km2 in the SESJV to 984 km2 in the SSJV, for a total of 88 cells. These cell sizes were the minimum sizes in each region for which 60% of the cells in the region would contain at least 1 well with full major ion...
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This report provides a full digitization of historic groundwater-quality and depth-to-water data from Mendenhall and others (1916) Water Supply Paper 398, “Ground Water in San Joaquin Valley, California” in a modern format suitable for further analysis of California’s water supply resources. Included are geochemical data for over 400 wells collected by Mendenhall in the fall of 1910, as well as depth-to-water and well construction information from over 4000 wells compiled by his team from over 15 years of well surveys throughout the San Joaquin Valley. Additionally, these data provide geospatial and geochemical data for sampled wells in California's San Joaquin Valley (SJV) in support of the publication: Jeffrey...
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Depth-to-water data in the San Joaquin Valley, CA were collected in 1910 and published in Mendenhall and others, 1916. These data were used to create a depth-to-water contour of the Valley described in Plate 1 entitled "Map of San Joaquin Valley, California showing artesian areas, ground-water levels and location of pumping plants", which includes a depiction of geographical areas where flowing well (artesian) conditions existed in 1910. These "Areas of flowing wells" have been converted into a digital vector format (ArcGIS Shapefile) for use in future research.
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A high-resolution (10-meter per pixel) digital elevation model (DEM) was created for the Sacramento-San Joaquin Delta using both bathymetry and topography data relative to current modern datum of North American Vertical Datum of 1988 (NAVD88). This DEM is the result of collaborative efforts of the U.S. Geological Survey (USGS) and the California Department of Water Resources (DWR). The base of the DEM is from a 10-m DEM released in 2004 and updated in 2005 (Foxgrover and others, 2005) that used Environmental Systems Research Institute (ESRI), ArcGIS Topo to Raster module to interpolate grids from single beam bathymetric surveys collected by DWR, the Army Corp of Engineers (COE), the National Oceanic and Atmospheric...
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A rich legacy of geochemical data produced since the early 1960s covers the great expanse of Alaska; careful treatment of such data may provide significant and revealing geochemical maps that may be used for landscape geochemistry, mineral resource exploration, and geoenvironmental investigations over large areas. To maximize the spatial density and extent of data coverage for statewide mapping of element distributions, we compiled and integrated analyses of more than 175,000 sediment and soil samples from three major, separate sources: the U.S. Geological Survey, the National Uranium Resource Evaluation program, and the Alaska Division of Geological & Geophysical Surveys geochemical databases. Various types of...
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This dataset includes the locations of magnetotelluric (MT) stations collected in 2006 in the Southern San Luis Valley, Colorado. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Valley to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Valley region is growing rapidly and water shortfalls could have serious consequences. Future growth and land...
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This represents the flowline network in Connecting River Systems Restoration Assessment (CRSRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, Detroit River, FWHydrography, Great Lakes, All tags...
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
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This represents the flowline network in Sagina Bay Restoration Assessment (SBRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, FWHydrography, Great Lakes, Hydrography, All tags...
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In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012). To meet this objective, a framework of fundamental...
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A rich legacy of geochemical data produced since the early 1960s covers the great expanse of Alaska; careful treatment of such data may provide significant and revealing geochemical maps that may be used for landscape geochemistry, mineral resource exploration, and geoenvironmental investigations over large areas. To maximize the spatial density and extent of data coverage for statewide mapping of element distributions, we compiled and integrated analyses of more than 175,000 sediment and soil samples from three major, separate sources: the U.S. Geological Survey, the National Uranium Resource Evaluation program, and the Alaska Division of Geological & Geophysical Surveys geochemical databases. Various types of...
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Well construction data for 11,917 domestic and 2,390 public-supply wells in the Central Valley were compiled as part of the U.S. Geological Survey (USGS) National Water Quality Assessment Project (NAWQA) and California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP). Data were compiled for wells reported in the USGS National Water Information System (NWIS) database and from well information reported to the SWRCB Department of Drinking Water (SWRCB-DDW). Driller’s log data were transcribed from scanned images of well completion reports filed with California Department of Water Resources (DWR). The wells reported in this data release...


map background search result map search result map Data Supporting The Geochemical Atlas of Alaska, 2016 Spatial Point Data Sets and Interpolated Surfaces of Well Construction Characteristics for Domestic and Public Supply Wells in the Central Valley, California, USA Magnetotelluric sounding locations, stations 1 to 22, Southern San Luis Valley, Colorado, 2006 The Geochemical Atlas of Alaska, 2016 - Geochem Data The Geochemical Atlas of Alaska, 2016 - Watershed Boundary Dataset Means Study Boundary for the U.S. Geological Survey Midwest Stream Quality Assessment Sampled Sites for the U.S. Geological Survey Midwest Stream Quality Assessment Saginaw Bay Restoration Assessment Degree Flowlines Saginaw Bay Restoration Assessment Dikes Connecting River Systems Restoration Assessment Degree Flowlines Connecting River Systems Restoration Assessment Dikes Western Lake Erie Restoration Assessment Degree Flowlines Western Lake Erie Restoration Assessment Dikes San Francisco Bay-Delta bathymetric/topographic digital elevation model (DEM) Groundwater-quality data and ancillary data for selected wells in the San Joaquin Valley, California, 1900-2015 Regions and Equal-Area Grid Cells in the San Joaquin Valley, California (Hansen and others, 2018) Extent of Artesian Conditions in San Joaquin Valley, CA in 1910 Magnetotelluric survey to characterize the Sunnyside Porphyry Copper System in the Patagonia Mountains, Arizona Predicting breeding shorebird distributions on the Arctic Coastal Plain of Alaska Final Report: Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC Magnetotelluric survey to characterize the Sunnyside Porphyry Copper System in the Patagonia Mountains, Arizona Magnetotelluric sounding locations, stations 1 to 22, Southern San Luis Valley, Colorado, 2006 Connecting River Systems Restoration Assessment Dikes Connecting River Systems Restoration Assessment Degree Flowlines Western Lake Erie Restoration Assessment Dikes Western Lake Erie Restoration Assessment Degree Flowlines Saginaw Bay Restoration Assessment Dikes San Francisco Bay-Delta bathymetric/topographic digital elevation model (DEM) Saginaw Bay Restoration Assessment Degree Flowlines Regions and Equal-Area Grid Cells in the San Joaquin Valley, California (Hansen and others, 2018) Extent of Artesian Conditions in San Joaquin Valley, CA in 1910 Groundwater-quality data and ancillary data for selected wells in the San Joaquin Valley, California, 1900-2015 Spatial Point Data Sets and Interpolated Surfaces of Well Construction Characteristics for Domestic and Public Supply Wells in the Central Valley, California, USA Final Report: Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC Predicting breeding shorebird distributions on the Arctic Coastal Plain of Alaska Sampled Sites for the U.S. Geological Survey Midwest Stream Quality Assessment Study Boundary for the U.S. Geological Survey Midwest Stream Quality Assessment Data Supporting The Geochemical Atlas of Alaska, 2016 The Geochemical Atlas of Alaska, 2016 - Geochem Data The Geochemical Atlas of Alaska, 2016 - Watershed Boundary Dataset Means