Skip to main content
Advanced Search

Filters: Tags: {"scheme":"Geographic Names Information System"} (X) > Types: OGC WMS Layer (X) > Types: OGC WFS Layer (X)

396 results (24ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tags (with Scheme=Geographic Names Information System)
View Results as: JSON ATOM CSV
thumbnail
This part of DS 781 presents data for the transgressive contours for the Point Conception to Hueneme Canyon, California, region. The vector file is included in "TransgressiveContours_PointConceptionToHuenemeCanyon.zip," which is accessible from http://dx.doi.org/10.5066/F7891424. As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Point Conception and Hueneme Canyon was generated from seismic-reflection data collected in 2014 (USGS activity 2014-632-FA) supplemented with outcrop and geologic structure (fault) information following the methodology of Wong (2012). Water depths determined from bathymetry data were...
thumbnail
This part of DS 781 presents data for the isopachs for the Point Conception to Hueneme Canyon, California, region. The vector data file is included in "Isopachs_PointConceptionToHuenemeCanyon.zip," which is accessible from https://doi.org/10.5066/F7891424. As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Point Conception and Hueneme Canyon was generated from seismic-reflection data collected in 2014 (USGS activity 2014-632-FA) supplemented with outcrop and geologic structure (fault) information following the methodology of Wong (2012). This sediment thickness layer was merged with a previously published sediment...
thumbnail
These case study sites are detailed in the report accompanying this data layer. The case studies are intended to serve as examples of how some of the opportunities for diverse stakeholders to engage in the process of mitigating road impacts on wildlife that are described in the report might be applied on the ground, as well as other considerations that come into play in selecting sites for possible mitigation and designing mitigation solutions for those sites. Through these case studies, we illustrate potential opportunities for mitigation and partner engagement for each of the four alternative priority sets identified in this study.Wildlife carcasses recorded by Montana Department of Transportation, Idaho Department...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: AADT, AADT, Carnivores, Carnivores, Connectivity, All tags...
This dataset (located by latitude and longitude) is a subset of the geochemical dataset found in Chap. C, Appendix 8, Disc 1, and used in this study of the Pittsburgh coal bed. That dataset is a compilation of data from the U.S. Geological Survey's (USGS) National Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), The Pennsylvania State University (PSU), the West Virginia Economic and Geological Survey (WVGES), and the Ohio Division of Geological Survey (OHGS) coal quality databases as well as published U.S. Bureau of Mines (USBM) data. The metadata file for the complete dataset is found in Chap. C, Appendix 9, Disc 1 (please see it for more detailed information on this geochemical dataset). This subset...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Allegany County, MD, Allegheny County, PA, Appalachians, Athens County, OH, Barbour County, WV, All tags...
This dataset is a polygon coverage of counties limited to the extent of the Pittsburgh coal bed resource areas and attributed with remaining resource values in aggregated reporting categories as described in USGS Circular 891. The file has been generalized from detailed geologic coverages found elsewhere in Professional Paper 1625-C.
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: ALLEGANY County MD, ALLEGHENY County PA, ARMSTRONG County PA, ATHENS County OH, Appalachians, All tags...
This dataset (located by latitude and longitude) is a subset of the geochemical dataset found in Chap. H, Appendix 2, Disc 1, and used in this study of the Pocahontas No. 3 coal bed. That dataset is a compilation of data from the U.S. Geological Survey's (USGS) National Coal Resources Data System (NCRDS) USCHEM (U.S. geoCHEMical), The Pennsylvania State University (PSU), and the West Virginia Economic and Geological Survey (WVGES) coal quality databases. The metadata file for the complete dataset is found in Chap. H, Appendix 3, Disc 1 (please see it for more detailed information on this geochemical dataset). This subset of the geochemical data for the Pocahontas No. 3 coal bed includes ash yield, sulfur content,...
thumbnail
This polygon shapefile represents model simulated flood-inundation extents for the Muddy River, near Moapa Nevada. A flood frequency analysis was performed at USGS streamgage 09416000 - Muddy River near Moapa, Nevada, to estimate the 50, 20, 10, 4, 2, and 1-percent annual exceedance probability (AEP) flood streamflows. The flood-inundation extents for the 50-, 20-, 10-, 4-, 2-, and 1-percent AEP floods were simulated for the current levee location in 2019 and for the new levee location of the proposed restoration. One model simulation represents the levee at its current (existing) location in 2019 on the east bank of the river and referred to as ‘current conditions (2019).’ A second model simulation removes the...
thumbnail
This dataset consists of points representing seepage site locations and discharge measurements as published in appendices 1-3 of the 2013 publication: Plume, R.W., and Smith, J.L., 2013, Properties of basin-fill deposits, a 1971–2000 water budget, and surface-water-groundwater interactions in the upper Humboldt River basin, northeastern Nevada: U.S. Geological Survey Scientific Investigations Report 2013-5077, https://doi.org/10.3133/sir20135077.
thumbnail
This dataset consists of polylines representing groundwater-level altitude contours for spring 1972, Smith Valley, Nevada, digitized from plate 2 of the 1976 publication: Rush, F.E.,and Schroer, C.V., 1976, Geohydrology of Smith Valley, Nevada with special reference to the water-use period 1953-72: Nevada Department of Conservation and Natural Resources Water Resources Bulletin 43, 43p.
thumbnail
This dataset consists of polygons representing approximate areas of water-level decline for the middle Carson River basin, Nevada as published on figure 14 in the U.S. Geological Survey Scientific Investigations Report 2011-5055.
thumbnail
Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, boundaries, and other selected map features. This map depicts geographic features on the surface of the earth. One intended purpose is to support emergency response at all levels of government. The geospatial data in this map are from selected National Map data holdings and other government sources.
thumbnail
This dataset contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the...
This data release contains mean high water (MHW) shorelines for sandy beaches along the coast of California for the years 1998/2002, 2015, and 2016. The MHW elevation in each analysis region (Northern, Central, and Southern California) maintained consistency with that of the National Assessment of Shoreline Change. The operational MHW line was extracted from Light Detection and Ranging (LiDAR) digital elevation models (DEMs) using the ArcGIS smoothed contour method. The smoothed contour line was then quality controlled to remove artifacts, as well as remove any contour tool interpretation of human-made infrastructure (such as jetties, piers, and sea walls), using satellite imagery from ArcGIS.
thumbnail
Ecological assessment data from the USGS National Water-Quality Assessment Program and the USEPA National River and Stream Assessment were reviewed and records were retained from sampling sites co-located with active USGS stream gages. A limited amount of ancillary data, including location, physical watershed features, and basic water chemistry data for each site were also retained.
thumbnail
Ar/Ar data are reported from eight samples of white mica separated from rock samples collected along the Austroalpine-Pennine boundary in the Central Alps of Switzerland. These samples were collected as part of a Caltech PhD study to examine the tectonic history of this boundary and these argon geochronology data represent one small part of the study. Data are reported from these eight samples together with standards that were irradiated together in the Denver USGS TRIGA reactor. Data from the samples were collected by incremental infrared laser heating of individual grains and analysis by multi-collector mass spectrometry. The reported data have been corrected for blanks, radioactive decay, and interfering nucleogenic...
thumbnail
This dataset is the result of measurements of groundwater levels in the Equus Beds aquifer near Wichita, Kansas, in January 2016. Potentiometric surfaces are interpolated for the shallow and deep parts of the aquifer, and rasters of the potentiometric surfaces are included in this data release. Wells were classified as being screened in the shallow or deep parts of the aquifer based on station name (some wells have a layer identifier in the station name) or, if no indication of aquifer layer was given in the station name, based on the depth of the well; wells with depths less than 80 feet below land surface were classified as shallow and wells with depths of 80 feet or deeper were classified as deep. Contours with...
thumbnail
This ArcGIS shapefile shows the known locations of beaver dams in the Tualatin Basin. The dam location information was generated by multiple local agencies, groups, and organizations. The local sources had identified the beaver dams between 2011 and 2019. USGS worked with these local sources to combine all data into one inventory.
map background search result map search result map USGS US Topo Map Collection Case Study Sites for Prioritizing Mitigation of Road Impacts on Western Governors' Association Wildlife Corridors Groundwater Levels in the Equus Beds Aquifer near Wichita, Kansas, January 2016 (deep contours shapefile) Isopachs--Point Conception to Hueneme Canyon, California Transgressive Contours--Point Conception to Hueneme Canyon, California Cottonwood Lake Study Area-Wetland Vegetation Zones-1975 Matched ecological assessment and stream gaging data for the CONUS Beaver dam locations in the Tualatin Basin, Oregon, between 2011 and 2019 Argon geochronology data from the Austroalpine-Pennine boundary, Central Alps, Switzerland Approximate areas of water-level decline, middle Carson River basin, Nevada (from U.S. Geological Survey Scientific Investigations Report 2011-5055, figure 14) Mean high water (MHW) shorelines along the coast of California used to calculated shoreline change from 1998 to 2016 Fire Clay Coal Zone Point Data (Geology) in Kentucky, Virginia and West Virginia Pittsburgh Coal Bed Point Data (Chemistry) in Pennsylvania, Ohio, West Virginia, and Maryland Pittsburgh Coal Bed Remaining Resources by County in Pennsylvania, Ohio, West Virginia, and Maryland Pond Creek Coal zone Point Data (Chemistry) in Virginia and West Virginia 1) Simulated flood-inundation extents for the Muddy River, near Moapa, Nevada 1:24,000-scale hydrographic areas, Walker River Basin, California and Nevada Groundwater-level altitude contours, spring 1972, Smith Valley, Nevada Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, June 30, 2020 Seepage site data for the upper Humboldt River Basin, October 2008 and November 2009 Cottonwood Lake Study Area-Wetland Vegetation Zones-1975 1) Simulated flood-inundation extents for the Muddy River, near Moapa, Nevada Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, June 30, 2020 Groundwater-level altitude contours, spring 1972, Smith Valley, Nevada Groundwater Levels in the Equus Beds Aquifer near Wichita, Kansas, January 2016 (deep contours shapefile) Beaver dam locations in the Tualatin Basin, Oregon, between 2011 and 2019 Isopachs--Point Conception to Hueneme Canyon, California Transgressive Contours--Point Conception to Hueneme Canyon, California Seepage site data for the upper Humboldt River Basin, October 2008 and November 2009 1:24,000-scale hydrographic areas, Walker River Basin, California and Nevada Pond Creek Coal zone Point Data (Chemistry) in Virginia and West Virginia Fire Clay Coal Zone Point Data (Geology) in Kentucky, Virginia and West Virginia Pittsburgh Coal Bed Remaining Resources by County in Pennsylvania, Ohio, West Virginia, and Maryland Pittsburgh Coal Bed Point Data (Chemistry) in Pennsylvania, Ohio, West Virginia, and Maryland Case Study Sites for Prioritizing Mitigation of Road Impacts on Western Governors' Association Wildlife Corridors Mean high water (MHW) shorelines along the coast of California used to calculated shoreline change from 1998 to 2016 Matched ecological assessment and stream gaging data for the CONUS USGS US Topo Map Collection