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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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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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​The basis for these features is U.S. Geological Survey Scientific Investigations Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS hydraulic model is a 12.9-mile reach of Johnson Creek from just upstream of SE 174th Avenue in Portland, Oregon, to its confluence with the Willamette River. Some of the hydraulics used in the model were taken from Federal Emergency Management Agency, 2010, Flood Insurance Study, City of Portland, Oregon, Multnomah, Clackamas, and Washington Counties, Volume 1 of 3, November 26, 2010. The Digital Elevation Model (DEM) utilized for the project was developed from lidar data flown in 2015 and provided by the Oregon Department...
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Hillshade of lidar-derived, bare earth digital elevation model, with 235-degree azimuth and 20-degree sun angle, 0.25m resolution, depicting earthquake effects following the August 24, 2014 South Napa Earthquake.
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Region(s) of distribution of Hamecon (Artediellus scaber) Knipowitsch, 1907 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 reliable...
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Region(s) of distribution of Saffron Cod (Eleginus gracilis) (Tilesius, 1810) 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...
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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 Fourhorn Sculpin (Myoxocephalus quadricornis) (Linnaeus, 1758) 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 Eyeshade Sculpin (Nautichthys pribilovius) (Jordan & Gilbert, 1898) 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...
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Region(s) of distribution of Chinook Salmon (Oncorhynchus tshawytscha) (Walbaum, 1792) 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...
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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...
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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The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS. The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in...
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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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Gravity data were collected from 2006 through 2015 to assist in mapping subsurface geology in the southern San Luis Basin, northern New Mexico. This data release provides principal facts for 566 new gravity stations that were acquired to fill in gaps in the existing public gravity data coverage.
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This data collection consists of a synthetic stream network and associated catchments developed as the foundation for a Spatially Referenced Regressions on Watershed Attributes (SPARROW) dissolved-solids source and transport model for the Upper Colorado River Basin (UCRB). The SPARROW model requires a hydrologically connected representation of a stream network through which loads are transported from an upstream reach to the next reach downstream (Schwarz and others, 2006; Moore and others, 2004). Each stream reach or segment within this synthetic stream network has an associated local drainage area or catchment used to calculate catchment characteristics that may have an effect on loads being modeled. The synthetic...
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One of the largest hydraulic mines (1.6 km2) is located in California’s Sierra Nevada within the Humbug Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP’s denuded and dissected landscape is composed of weathered Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in more cohesive terrain. This data release includes a 1992 digital surface model (DSM), 1992 orthophoto mosaic, masked orthophoto of the study area, 1992 ground cover classification, and 1992 pruned DSM with the vegetation bias removed. Stereo-photogrammetry was used to create a 1992 digital surface model (DSM) and orthophoto mosaic from archived aerial photographs....
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The data contained in this report was compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). The WLCI is a long-term science based effort to assess and enhance aquatic and terrestrial habitats at a landscape scale in southwest Wyoming while facilitating responsible energy development through local collaboration and partnerships. The IA is an integrated synthesis and analysis of WLCI resource values based on best available data and information collected from multiple agencies and organizations. It is a support tool for landscape-scale conservation planning and evaluation, and a data and analysis resource that can be used for addressing specific management...
map background search result map search result map 2012 Air and Temperature Data from Shenandoah National Park WLCI - Important Agricultural Lands Assessment (Input Raster: Resource Index-Terrestrial-Agriculture-Important Agricultural Lands) Elevation Contours, Cannonsville Reservoir, 2015 Echosounder Quality Assurance Points, Neversink Reservoir, 2014 Echosounder Quality Assurance Points, Rondout Reservoir, 2013 to 2014 Principal facts of gravity data in the southern San Luis Basin, northern New Mexico Elevation Raster, Cannonsville Reservoir, 2015 Hillshade raster (235-degree azimuth, 20-degree sun angle) derived from lidar data collected after the August 24, 2014 South Napa earthquake Marine Arctic point distribution of Fourhorn Poacher (Hypsagonus quadricornis) (Valenciennes, 1829) Marine Arctic polygon distribution of Eyeshade Sculpin (Nautichthys pribilovius) (Jordan & Gilbert, 1898) Marine Arctic polygon distribution of Chinook Salmon (Oncorhynchus tshawytscha) (Walbaum, 1792) Marine Arctic polygon distribution of Inconnu (Stenodus leucichthys) (Güldenstadt, 1772) Tsunami Evacuation Travel Time Map for Humboldt County, CA, 2010, for Bridges Intact and a Fast Walking Speed Upper Colorado River Basin SPARROW model catchments and synthetic stream network - 2017 Areas of uncertainty for flood inundation extents at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor_breach.shp) 1992 digital surface model Malakoff Diggins State Historic Park, California 1992 digital surface model Malakoff Diggins State Historic Park, California Echosounder Quality Assurance Points, Neversink Reservoir, 2014 Echosounder Quality Assurance Points, Rondout Reservoir, 2013 to 2014 Areas of uncertainty for flood inundation extents at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor_breach.shp) Hillshade raster (235-degree azimuth, 20-degree sun angle) derived from lidar data collected after the August 24, 2014 South Napa earthquake Elevation Contours, Cannonsville Reservoir, 2015 Elevation Raster, Cannonsville Reservoir, 2015 Principal facts of gravity data in the southern San Luis Basin, northern New Mexico WLCI - Important Agricultural Lands Assessment (Input Raster: Resource Index-Terrestrial-Agriculture-Important Agricultural Lands) Upper Colorado River Basin SPARROW model catchments and synthetic stream network - 2017 Marine Arctic polygon distribution of Inconnu (Stenodus leucichthys) (Güldenstadt, 1772) Marine Arctic point distribution of Fourhorn Poacher (Hypsagonus quadricornis) (Valenciennes, 1829) Marine Arctic polygon distribution of Eyeshade Sculpin (Nautichthys pribilovius) (Jordan & Gilbert, 1898) Marine Arctic polygon distribution of Chinook Salmon (Oncorhynchus tshawytscha) (Walbaum, 1792)