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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 Stream Conditions of Chester County Biological Monitoring Network was established by the U.S. Geological Survey and the Chester County Water Resources Authority in 1969. Benthic-macroinvertebrate, habitat, and stream chemistry data were collected annually from 1998-2021 at 18 fixed location sites. Additionally, nine flexible location sites were selected and sampled annually from 1998-2021. Some of the flexible location sites were sampled more than once over the study period. All data were collected in the fall months (October-November) during baseflow conditions. The benthic-macroinvertebrate data collected was used to calculate six metrics and to establish an index of biotic integrity for each sample, while...
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These datasets were created in support of the U.S. Geological Survey's (USGS) Next Generation Water Observing System (NGWOS) for the Delaware River Basin pilot study (Eberts, Wagner, and Woodside, 2019). The NGWOS utilizes real-time data, improved computational capabilities, and new technologies such as unmanned aerial vehicles (UAV) and autonomous underwater vehicles (AUV) to provide information on water quality and/or quantity, in more locations, quickly and efficiently (Eberts, Wagner, and Woodside, 2019). Combined with advanced modeling applications, the NGWOS will be an important tool for water-resource managers and emergency management. In this study, water-quality and bathymetric data were measured with an...
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.


map background search result map search result map Elevation Contours, Cannonsville Reservoir, 2015 Elevation-area-capacity table, Cannonsville Reservoir, 2015 Elevation Raster, Cannonsville Reservoir, 2015 USGS Topo Map Vector Data (Vector) 70621 Lake Eucha East OK Shapefile USGS Topo Map Vector Data (Vector) 20996 Hopkinton East, Iowa 20220430 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 20997 Hopkinton West, Iowa 20220429 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 27410 Manchester, Iowa 20220429 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 44970 Thorpe, Iowa 20220429 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 9496 Colcord NE, Arkansas 20200915 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 9496 Colcord NE, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS NED 1/3 arc-second Contours for Tulsa W, Oklahoma 20220725 1 x 1 degree Shapefile USGS US Topo 7.5-minute map for Dodge, OK 2018 USGS US Topo 7.5-minute map for Kansas, OK 2019 Bedrock elevation contours beneath main valleys in the Oneonta area, Otsego and Delaware Counties, New York Autonomous Underwater Vehicle Water-Quality and Sonar Measurements alongside Conductivity, Temperature and Depth Measurements in the Delaware River near Philadelphia, Pennsylvania, 2021 US Topo 7.5-minute map for Kansas, OK US Topo 7.5-minute map for Ketchum, OK US Topo 7.5-minute map for Siloam Springs NW, OK USGS Topo Map Vector Data (Vector) 23422 Ketchum OK GeoPackage Benthic-macroinvertebrate and habitat data in Chester, Delaware, and Philadelphia Counties, Pennsylvania, 1998-2021 USGS Topo Map Vector Data (Vector) 70621 Lake Eucha East OK Shapefile USGS Topo Map Vector Data (Vector) 20996 Hopkinton East, Iowa 20220430 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 20997 Hopkinton West, Iowa 20220429 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 27410 Manchester, Iowa 20220429 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 44970 Thorpe, Iowa 20220429 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 9496 Colcord NE, Arkansas 20200915 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 9496 Colcord NE, Arkansas 20200915 for 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Dodge, OK 2018 USGS US Topo 7.5-minute map for Kansas, OK 2019 US Topo 7.5-minute map for Kansas, OK US Topo 7.5-minute map for Ketchum, OK US Topo 7.5-minute map for Siloam Springs NW, OK USGS Topo Map Vector Data (Vector) 23422 Ketchum OK GeoPackage Elevation-area-capacity table, Cannonsville Reservoir, 2015 Elevation Contours, Cannonsville Reservoir, 2015 Elevation Raster, Cannonsville Reservoir, 2015 Bedrock elevation contours beneath main valleys in the Oneonta area, Otsego and Delaware Counties, New York Autonomous Underwater Vehicle Water-Quality and Sonar Measurements alongside Conductivity, Temperature and Depth Measurements in the Delaware River near Philadelphia, Pennsylvania, 2021 Benthic-macroinvertebrate and habitat data in Chester, Delaware, and Philadelphia Counties, Pennsylvania, 1998-2021 USGS NED 1/3 arc-second Contours for Tulsa W, Oklahoma 20220725 1 x 1 degree Shapefile