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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States' coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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This digital dataset contains groundwater level observations for 364 wells, in addition to well construction information, from 1916 to 2014 in the Central Valley, California. Groundwater level observations are used to create groundwater level contours and to calibrate the groundwater levels for the updated Central Valley Hydrologic Model (CVHM2). Groundwater level observations were collected from five sources (USGS, 2018; SLDMWA, 2018; CADWR, 2004; CRNA, 2018).
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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These data are monthly median observed streamflow from 32 gages in the Central Valley for comparison to the updated Central Valley Hydrologic Model (CVHM2). The locations of these gages are shown in the shape file.
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, Coastal and Marine Geology Program, All tags...
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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This dataset is associated with a USGS publication "Assessment of Undiscovered Oil and Gas Resources in the Eagle Ford Group and Associated Cenomanian-Turonian Strata, U.S. Gulf Coast, Texas, 2018" and summarizes data generated by the author for the publication using IHS Harmony DeclinePlus software. Data includes average estimated ultimate recoveries per square mile for three continuous oil assessment units with location information. Data is derived from IHS Markit data. No proprietary information is contained in this release.
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, All tags...
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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The U.S. Geological Survey, in cooperation with the National Park Service, Yellowstone Center for Resources, as part of work for the Yellowstone Volcano Observatory, has compiled a shapefile map of thermal areas and thermal water bodies in Yellowstone National Park. A thermal area is a continuous, or nearly continuous, geologic unit that contains one or more thermal features (e.g., hot springs, mud pots, or fumaroles); hydrothermally altered rocks and/or hydrothermal mineral deposits; heated ground and/or geothermal gas emissions; and is generally barren of vegetation or has stressed / dying vegetation. There are more than 10,000 thermal features in Yellowstone, most of which are clustered together into about 120...


    map background search result map search result map Shorelines for Vieques, Culebra, and the main island of Puerto Rico from the 1900s to 2018 (ver. 2.0, March 2023) Baseline for the coast of Puerto Rico's main island generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline change rates for the coast of Puerto Rico's main island calculated using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline intersects for the coast of Puerto Rico's main island generated by the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Baseline for the islands of of Vieques and Culebra, Puerto Rico, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Shoreline change rates for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1 Shoreline intersects for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1 Central Valley Hydrologic Model version 2 (CVHM2): Groundwater Level Observations Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow Estimated Ultimate Recoveries of Oil Wells in the Eagle Ford Group and Associated Cenomanian–Turonian Strata, U.S. Gulf Coast, Texas, 2018 Map of Yellowstone’s Thermal Areas: Updated 2023-12-31 Shoreline intersects for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1 Shoreline change rates for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1 Baseline for the islands of of Vieques and Culebra, Puerto Rico, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Baseline for the coast of Puerto Rico's main island generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline change rates for the coast of Puerto Rico's main island calculated using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline intersects for the coast of Puerto Rico's main island generated by the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shorelines for Vieques, Culebra, and the main island of Puerto Rico from the 1900s to 2018 (ver. 2.0, March 2023) Map of Yellowstone’s Thermal Areas: Updated 2023-12-31 Estimated Ultimate Recoveries of Oil Wells in the Eagle Ford Group and Associated Cenomanian–Turonian Strata, U.S. Gulf Coast, Texas, 2018 Central Valley Hydrologic Model version 2 (CVHM2): Groundwater Level Observations Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow