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This dataset consists of the boundary extent used to evaluate regolith thickness, bedrock altitude, depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system in the Lower Gunnison River Basin, in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.
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This dataset represents an update to U.S. Geological Survey Data Series 597. Locations and attributes of wind turbines in Colorado, 2009 (available at http://pubs.usgs.gov/ds/597/). This updated Colorado wind turbine Data Series provides geospatial data (fig. 1) for all 1,204 wind turbines established within the State of Colorado as of September 2011, an increase of 297 wind turbines from 2009.Attributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of the wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of South Dakota. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of South Dakota. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Georgia. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Georgia. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Louisiana. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Louisiana. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
Whooping cranes (Grus americana) of the Aransas-Wood Buffalo population migrate twice each year through the Great Plains in North America. Recovery activities for this endangered species include providing adequate places to stop and rest during migration, which are generally referred to as stopover sites. To assist in recovery efforts, initial estimates of stopover site use intensity are presented, which provide opportunity to identify areas across the migration range used more intensively by whooping cranes. We used location data acquired from 58 unique individuals fitted with platform transmitting terminals that collected global position system locations. Radio-tagged birds provided 2,158 stopover sites over 10...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Desert Fish Habitat Partnership. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the boundary of the Desert Fish Habitat Partnership. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled;...
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This shapefile contains sub-indices comprised of various anthropogenic land use/covers respresentative of the risk of potential habitat degradation to streams within the state of Hawaii. This file is an updated version of 'nfhap_hci_hawaii.shp' and incorporates the suggestion from the Hawaii Fish Habitat Partnership of removing trails and paths from the road network to help better represent amounts of disturbance in remote areas such as the Na Pali coast. Subindices are summarized for local and network catchments specific to perennial stream reaches throughout the state. The local and network catchments were developed using a modified version of the 1:24,000 scale National Hydrography Dataset (NHD) as a baselayer....
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The “Biophysical assessment for indemnity selection of federal lands in Colorado: Indemnity Unit locations” dataset delineates the spatial locations of 89 Indemnity Units, comprising 339 parcels of federal lands. These lands, currently managed by the Bureau of Land Management (BLM), are under consideration for transfer of ownership to the State of Colorado in compensation for federal lands not available for transfer at the time of statehood. The Indemnity Units total 23,130 acres of surface and mineral estate and 6,150 acres of mineral estate only. The specific land parcels to be transferred to the State will be finalized after an environmental analysis is completed, as required by the National Environmental Policy...
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This data set includes results for hormone and pharmaceutical compounds analyzed in environmental and quality-control samples collected by the USGS National Water-Quality Assessment Project during 2013 through 2015 for a study of groundwater resources used for drinking-water supply across the United States. Hormone and pharmaceutical results are provided for environmental samples collected at 1,120 wells or springs; selected ancillary data, such as principal aquifer, well depth, and land-use information also are provided for the sampled sites. The types of quality-control samples included in this data set are blanks, matrix spikes, and replicates collected at field sites or field offices. Included in this data...
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Water-quality data for groundwater samples collected from 4,824 sites between 1991 through 2018, and ancillary data and information on sampled wells and principal aquifers, were used to assess the occurrence and distribution of strontium in U.S. groundwater from 32 principal aquifers. This data release includes one tab-delimited text file detailing these data. Table: Chemical data from the U.S. Geological Survey National Water Information System and ancillary data considered for assessment of strontium concentration in U.S. groundwater.
I. .\GrantDevine_Comb.csv: This file contains the total inflow volume to Grant Devine Reservoir for the 30 days with the largest streamflow volume between March and May and the mean of the 3- and 12-month SPEI values for each November 1st. Spring streamflow volume for a given calendar year is paired with SPEI from the previous November 1st value. Column A is an unnamed index number, column B is a year in a stochastic simulation, column C is named “simnum” and is the stochastic simulation number, column D is named “mnspei” and is the mean of the 3- and 12-month SPEI for November 1 of each year in a stochastic simulation, and column E is named “SprintgThirtyTot” and is the total inflow volume for the 30 days with...
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Raw data were collected in Shenandoah National Park during summer 2012. Air and temperature data were collected using temperature loggers at several stations throughout the park. These data were used in the publication of the manuscript "Accounting for groundwater influence on headwater stream thermal sensitivity to climate change" through the journal Ecological Applications. Water temperature data were collected at all 78 reach locations during the summer of 2012 (23 June–7 September). Temperature was measured every hour with a logger.
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Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
map background search result map search result map Coal Mines Trout Unlimited-Coldwater Fisheries Data Condition Index - Aquatic - Focal Species National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Desert Fish Habitat Partnership South Dakota: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances Louisiana: NFHAP 2010 HCI Scores and Disturbances Wind Turbines in Colorado, 2011 National Fish Habitat Partnership (NFHP) 2010 HCI Scores and Human Disturbance Data for Hawaii Linked to NFHAP Catchments (developed using the 1:24,000 scale National Hydrography Dataset) VERSION 2.0 2012 Air and Temperature Data from Shenandoah National Park Map 03 Boundary extent for datasets of regolith thickness, bedrock altitude, depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system in the Lower Gunnison River Basin, Colorado Environmental and Quality-Control Data Collected by the USGS National Water-Quality Assessment Project for Hormones and Pharmaceuticals in Groundwater Used as a Source of Drinking Water Across the United States, 2013-15 Biophysical assessment for indemnity selection of federal lands in Colorado: Indemnity Unit locations Data for the occurrence and distribution of strontium in U.S. groundwater Spring 30 Day Local Inflow Data for Reservoirs on the Souris River, United States and Canada Vegetation classification model (Veg) for basin A1 Digital terrain model (DTM) for basin B1 Final surface model (SRF) for basin B1 Vegetation classification model (Veg) for basin A1 Digital terrain model (DTM) for basin B1 Final surface model (SRF) for basin B1 2012 Air and Temperature Data from Shenandoah National Park Map 03 Boundary extent for datasets of regolith thickness, bedrock altitude, depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system in the Lower Gunnison River Basin, Colorado Wind Turbines in Colorado, 2011 Trout Unlimited-Coldwater Fisheries Data Coal Mines Condition Index - Aquatic - Focal Species Spring 30 Day Local Inflow Data for Reservoirs on the Souris River, United States and Canada National Fish Habitat Partnership (NFHP) 2010 HCI Scores and Human Disturbance Data for Hawaii Linked to NFHAP Catchments (developed using the 1:24,000 scale National Hydrography Dataset) VERSION 2.0 Louisiana: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances Biophysical assessment for indemnity selection of federal lands in Colorado: Indemnity Unit locations South Dakota: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Desert Fish Habitat Partnership Environmental and Quality-Control Data Collected by the USGS National Water-Quality Assessment Project for Hormones and Pharmaceuticals in Groundwater Used as a Source of Drinking Water Across the United States, 2013-15 Data for the occurrence and distribution of strontium in U.S. groundwater