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A systematic water-quality study of the Fortymile River and many of its major tributaries in eastern Alaska was conducted in June of 1997 and 1998. Surface-water samples were collected for chemical analyses to establish regional baseline geochemistry values and to evaluate the possible environmental effects of suction-dredge placer gold mining and bulldozer-operated placer gold mining (commonly referred to as “cat mining”). In general, the water quality of the Fortymile River is very good, with low total dissolved solids and only two cases in which the concentration of any element exceeded primary or secondary drinking-water quality standards. In both cases, iron exceeded secondary drinking-water limits. At...
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This report contains water-quality and sediment-quality data from samples collected in the Yukon River Basin from March through September during the 2005 water year (WY). Samples were collected throughout the year at five stations in the basin (three on the main stem Yukon River, one each on the Tanana and Porcupine Rivers). A broad range of physical, chemical, and biological analyses are presented. This is the final report in a series of five USGS Open-File Reports spanning five WYs, from October 2000 through September 2005. The previous four reports are listed in the references (Schuster, 2003, 2005a, 2005b, 2006). Water-quality and sediment-quality data from samples collected on the Yukon River and selected...
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The download for this dataset includes TNC’s full Northeastern Aquatic Habitat Classification System: stream size, stream temperature, stream gradient, stream geology, lakes and catchments. This dataset represents the results (9/30/2008) of the Northeastern Aquatic Habitat Classification System (NAHCS) GIS map for streams and rivers. This classification focused on mapping a stream habitat types across 13 northeastern states (ME, NH, VT, MA, CT, RI, NY, NJ, PA, MD, DC, DE, VA, WV). Stream and river centerlines were extracted from the USGS National Hydrography Dataset Plus (NH-Plus) 2006 1:100,000 data. These reaches were attributed and placed into classes representing their biopysical setting in terms of stream...
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Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.There is no widely accepted standard for analyzing shoreline...
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The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Ohio. 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 Ohio. 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 service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Montana. 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 Montana. 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 service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New York. 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 New York. 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 service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Tennessee. 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 Tennessee. 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...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Ohio River Basin 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 Ohio River Basin 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...
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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of the sagebrush ecosystem to oil and gas development for each 12-digit hydrologic unit. Using a vulnerability framework, we defined Sensitivity (S) as the multi-scale average of sagebrush ecosystem land cover derived from LANDFIRE Existing Vegetation Type (LANDFIRE 2014). Exposure (E) to oil and gas development was quantified as the average kernel density of active oil and gas wells at multiple scales. Potential Impact (PI) is the square root transformed product of oil and gas development exposure and sagebrush ecosystem sensitivity. Adaptive Capacity (AC) for sagebrush ecosystem was quantified as the inverse...
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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of the critical habitat for threatened and endangered fish species to oil and gas development for each 12-digit hydrologic unit. The following threatened and endangered fish species were included in this vulnerability assessment: Colorado pikeminnow (Ptychocheilus lucius), Bonytail Chub (Gila elegans), Humpback chub (Gila cypha), and razorback sucker (Xyrauchen texanus). Using a vulnerability framework, we defined Sensitivity (S) as the average combined area of critical fish habitat within HUC12 polygons. Exposure (E) to oil and gas development was quantified the log transformed upstream flow accumulation of...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Colorado, Colorado, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Green River Basin, Green River Basin, All tags...
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For the Green River Basin Landscape Conservation Design (GRB LCD) assessment, we mapped the vulnerability of riparian habitat for terrestrial species and process. Using a vulnerability framework, we defined Sensitivity (S) as the percent riparian vegetation within the valley bottom and Exposure (E) as the amount of human modification within the valley bottom. For each 12-digit hydrologic unit code within the GRB LCD we summarized the riparian sensitivity and exposure to human modification. We also computed Potential Impact (PI), and Adaptive Capacity (AC) metrics at the HUC12 level. PI is the square root transformed product of human modification exposure and riparian sensitivity. AC for riparian exposure to human...
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From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
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From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
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From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
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Data on 17 metrics of shale gas development in the Pennsylvania portion of the Upper Susquehanna River basin that was collated from a variety of sources and summarized at the upstream catchment scale. Data were also standardized by upstream area and transformed into rank scores based on metric distribution and then summarized into a Disturbance Intensity Index (DII). See Maloney et al. 2018 for detailed descriptions of each data sets and limitations of data. (Maloney, K. O., J. A. Young, S. P. Faulkner, A. Hailegiorgis, E. T. Slonecker, and L. E. Milheim. 2018. A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A. Science...
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These feature data are part of a larger dataset containing shapefiles and associated metadata for lava flows erupted at Kilauea volcano from ca. 1790 through 1982. The complete dataset includes all known subaerial eruptions in the volcano's Southwest Rift Zone and East Rift Zone, and selected flows erupted within the summit caldera, during this time period. Two attributed shapefiles are associated with each eruption: a polyline shapefile for the lava flow contacts and eruptive fissures, and a polygon shapefile showing the full extent of the lava flow after emplacement. In total, this dataset contains 100 shapefiles, each with an associated metadata .txt file, representing 50 separate eruptions. The lava flow contacts...
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Region(s) of distribution of Fourhorn Poacher (Hypsagonus quadricornis) (Valenciennes, 1829) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic...
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Region(s) of distribution of Inconnu (Stenodus leucichthys) (Güldenstadt, 1772) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...


map background search result map search result map PLJV's Probable Playas Version 4 WA Short Term Shoreline Change Northeastern Aquatic Habitat Classification System, Stream Gradient National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Montana: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New York: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Ohio: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Tennessee: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Ohio River Basin Fish Habitat Partnership: ESRI Service Definition Regional baseline geochemistry and environmental effects of gold placer mining operations on the Fortymile River, eastern Alaska Water and sediment quality in the Yukon River basin, Alaska, during water year 2005 Elevation Contours, Cannonsville Reservoir, 2015 Echosounder Quality Assurance Points, Neversink Reservoir, 2014 Echosounder Quality Assurance Points, Rondout Reservoir, 2013 to 2014 Marine Arctic point distribution of Fourhorn Poacher (Hypsagonus quadricornis) (Valenciennes, 1829) Marine Arctic polygon distribution of Inconnu (Stenodus leucichthys) (Güldenstadt, 1772) Shale gas data used in development of the Disturbance Intensity Index for the Pennsylvania portion of the Upper Susquehanna River basin in Maloney et al. 2018 Vulnerability of Riparian Habitat to Land Uses in the Green River Basin Vulnerability of Critical Fish Habitat to Oil and Gas Development in the Green River Basin Vulnerability of Sagebrush Ecosystem to Oil and Gas Development for the Green River Basin 1815–1823 Kamakaia lava flow extent Echosounder Quality Assurance Points, Neversink Reservoir, 2014 1815–1823 Kamakaia lava flow extent Echosounder Quality Assurance Points, Rondout Reservoir, 2013 to 2014 Elevation Contours, Cannonsville Reservoir, 2015 Shale gas data used in development of the Disturbance Intensity Index for the Pennsylvania portion of the Upper Susquehanna River basin in Maloney et al. 2018 Regional baseline geochemistry and environmental effects of gold placer mining operations on the Fortymile River, eastern Alaska National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Tennessee: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Ohio: ESRI Service Definition Vulnerability of Critical Fish Habitat to Oil and Gas Development in the Green River Basin Vulnerability of Sagebrush Ecosystem to Oil and Gas Development for the Green River Basin Vulnerability of Riparian Habitat to Land Uses in the Green River Basin National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New York: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Montana: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Ohio River Basin Fish Habitat Partnership: ESRI Service Definition PLJV's Probable Playas Version 4 Water and sediment quality in the Yukon River basin, Alaska, during water year 2005 Northeastern Aquatic Habitat Classification System, Stream Gradient Marine Arctic polygon distribution of Inconnu (Stenodus leucichthys) (Güldenstadt, 1772) Marine Arctic point distribution of Fourhorn Poacher (Hypsagonus quadricornis) (Valenciennes, 1829)