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This data release contains coastal wetland synthesis products for the state of Connecticut. Metrics for resiliency, including the unvegetated to vegetated ratio (UVVR), marsh elevation, tidal range, wave power, and exposure potential to environmental health stressors are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing federal, state, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For...
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This data release supersedes version 1.0, published in September 2022 at https://doi.org/10.5066/P9XEFRYR. Versioning details are documented in the accompanying Dunex_revision_history.txt file. These data provide grain-size measurements from sediment samples collected as part of the USGS DUring Nearshore Event eXperiment (DUNEX) site on Pea Island National Wildlife Refuge, NC. DUNEX is a multi-agency, academic, and non-governmental organization collaborative community experiment designed to study nearshore coastal processes during storm events. USGS participation in DUNEX will contribute new measurements and models that will increase our understanding of storm impacts to coastal environments, including hazards...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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This dataset contains linework of neotectonic mapping from high-resolution lidar-derived topography and historical aerial images on Puerto Rico.
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017)...
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This dataset includes the magnetotelluric (MT) sounding data collected in 1989 across the Idaho Batholith, Payette National Forest, Idaho, by the U.S. Geological Survey (USGS). The primary focus is on geologic elements that relate to the Late Cretaceous Idaho batholith geometry and the development of the Yellow Pine mining district and Stibnite mining area. Twenty MT soundings along one 110-km long profile were acquired during the time period of July 19-27, 1989. This study was funded by the U.S. Geological Survey's Mineral Resources Program in cooperation with the U.S. Forest Service.
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This data release contains coastal wetland synthesis products for the state of Connecticut. Metrics for resiliency, including the unvegetated to vegetated ratio (UVVR), marsh elevation, tidal range, wave power, and exposure potential to environmental health stressors are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing federal, state, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For...
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Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood-frequency estimates at those streamgages. However, flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This dataset contains the supporting tables and updated hydrologic region boundaries used in the 2017 flood-frequency study for Georgia, South Carolina, and North Carolina.
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017)...
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This data release contains time series and plots summarizing mean monthly temperature and total monthly precipitation, runoff, and streamflow from the U.S. Geological Survey Monthly Water Balance Model at 115 National Wildlife Refuges within the U.S. Fish and Wildlife Service Mountain-Prairie Region (CO, KS, MT, NE, ND, SD, UT, and WY). The four variables are derived from two sets of statistically-downscaled general circulation models from 1951 through 2099. The three variables were summarized for comparison across four 19-year periods: historic (1951-1969), baseline (1981-1999), 2050 (2041-2059), and 2080 (2071-2089). For each refuge, mean monthly plots, seasonal box plots, and annual envelope plots were produced...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
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This data release contains coastal wetland synthesis products for the state of Maine. Metrics for resiliency, including the unvegetated to vegetated ratio (UVVR), marsh elevation, tidal range, and lifespan, are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing federal, state, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands...
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The Republic survey consists of high-resolution aeromagnetic and radiometric data designed to image the subsurface geology and structure of a large portion of northeastern Washington. These data are intended for rigorous modeling and interpretation of the geology and structure in this region and will be used to evaluate the potential for undiscovered resources and will contribute to USGS and Washington DNR-related mineral and geothermal resource assessments of the region. This release includes aeromagnetic and aeroradiometric data collected via low-altitude helicopter flown over northeastern Washington State, centered over the town of Republic, Washington. The data were acquired between September 26, 2022 and August...
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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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This coverage includes arcs, polygons, and polygon labels that describe the generalized geologic age of surface outcrops of bedrock of Europe including Turkey (Albania, Andorra, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Liechtenstein, Luxembourg, The Former Yugoslav Republic of Macedonia, Malta, Monaco, Netherlands, Norway, Poland, Portugal, Romania, San Marino, Serbia and Montenegro, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom and Vatican City.) It also includes shorelines and inland water bodies.
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: AL, AN, AU, Adana/Sivas, Province 2079, Adriatic Basin, Province 4058, All tags...
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The Wenatchee Mountains mule deer herd inhabits a matrix of private and public lands along the eastern slope of the Cascade Range in Chelan and Kittitas Counties in Washington (fig. 24). Historically, the Wenatchee Mountains mule deer herd was separated into two subherds, Chelan and Kittitas; however, recent GPS collar data indicated the mule deer south of U.S. Highway 2 and north of Interstate 90 represent one population. Their high-use winter range extends along the foothills west and south of Wenatchee, Washington and throughout the foothills of the Kittitas Valley near Ellensburg. Their low-use winter range occurs along the foothills west of the Columbia River north of Interstate 90. In the spring, migratory...
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The Colockum elk herd inhabits a mix of public and private lands northeast of Ellensburg between Blewett Pass of the Cascade Range and west of the Columbia River (fig. 35). The population ranges between 4,000 and 5,000 animals and is partially migratory, with individuals displaying a mix of resident (63 percent of analyzed individuals) and migratory (34 percent of analyzed individuals) behaviors. During winter, many elk inhabit grassland, sagebrush, antelope bitterbrush, and ponderosa pine habitats in the Whiskey Dick, Quilomene, and Colockum Wildlife Areas and the eastern reaches of the Naneum State Forest. As spring green up of vegetation nears, migratory elk travel northwest toward summer ranges in the Wenatchee...


map background search result map search result map Magnetotelluric sounding data across the Idaho Batholith, Payette National Forest, Idaho, 1989 Generalized Geology of Europe including Turkey (geo4_2l) 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) Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data Hydroclimate Projections for Select U.S. Fish and Wildlife Service Properties - Mountain-Prairie Region, 1951-2099 - Nebraska Intersects for the coastal region of Virginia generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 2017-2018 lidar-derived mean high water shoreline for the coast of South Carolina SC Bias Feature – Feature class containing South Carolina proxy-datum bias information to be used in the Digital Shoreline Analysis System Baseline for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Intersects for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Long-term shoreline change rates for the Northern California coastal region using the Digital Shoreline Analysis System version 5.0 Conceptual marsh units of Connecticut salt marshes Unvegetated to vegetated ratio of marsh units in Connecticut salt marshes Estimated Ultimate Recoveries of Oil Wells in the Eagle Ford Group and Associated Cenomanian–Turonian Strata, U.S. Gulf Coast, Texas, 2018 Grain-size analysis data of sediment samples from the beach and nearshore environments at the Pea Island National Wildlife Refuge DUNEX site, North Carolina in 2021 Conceptual marsh units of Maine salt marshes Washington Elk Colockum Winter Range Washington Mule Deer Wenatchee Stopovers High-resolution airborne magnetic and radiometric survey of the Republic Graben, Okanogan and Kettle metamorphic core complexes, Kootenay Arc and surrounding regions, Northeastern Washington Neotectonic mapping of fault-related features in Puerto Rico Grain-size analysis data of sediment samples from the beach and nearshore environments at the Pea Island National Wildlife Refuge DUNEX site, North Carolina in 2021 Washington Elk Colockum Winter Range 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) Conceptual marsh units of Connecticut salt marshes Unvegetated to vegetated ratio of marsh units in Connecticut salt marshes Intersects for the coastal region of Virginia generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 Washington Mule Deer Wenatchee Stopovers 2017-2018 lidar-derived mean high water shoreline for the coast of South Carolina High-resolution airborne magnetic and radiometric survey of the Republic Graben, Okanogan and Kettle metamorphic core complexes, Kootenay Arc and surrounding regions, Northeastern Washington SC Bias Feature – Feature class containing South Carolina proxy-datum bias information to be used in the Digital Shoreline Analysis System Long-term shoreline change rates for the Northern California coastal region using the Digital Shoreline Analysis System version 5.0 Conceptual marsh units of Maine salt marshes Intersects for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Baseline for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Estimated Ultimate Recoveries of Oil Wells in the Eagle Ford Group and Associated Cenomanian–Turonian Strata, U.S. Gulf Coast, Texas, 2018 Hydroclimate Projections for Select U.S. Fish and Wildlife Service Properties - Mountain-Prairie Region, 1951-2099 - Nebraska Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data Generalized Geology of Europe including Turkey (geo4_2l)