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This dataset contains descriptions and analytical data (i.e., electron microprobe, X-ray diffraction, spectral reflectance, and scanning electron microprobe analyses) for unexpanded and expanded vermiculite samples. These data are provided for 52 samples of vermiculite attic insulation, horticultural products, aggregate, and packing materials derived from mines near Enoree, South Carolina; Libby, Montana; Louisa, Virginia; Palabora, South Africa; and Jiangsu, China collected from 2000 to 2016. Electron probe microanalysis and spectra of unexpanded ores from these locations and Llano, Texas are also given. Tables of electron microprobe and spectral absorption information are also included along with ascii listings...
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As part of the Coastal Carolinas Focus Area Study of the U.S. Geological Survey National Water Census Program, the Soil and Water Assessment Tool (SWAT) was used to develop models for the Pee Dee River Basin, North Carolina and South Carolina, to simulate future streamflow and irrigation demand based on land use, climate, and water demand projections. SWAT is a basin-scale, process-based watershed model with the capability of simulating water-management scenarios. Model basins were divided into approximately two-square mile subbasins and subsequently divided into smaller, discrete hydrologic response units based on land use, slope, and soil type. The calibration period for the historic model was 2000 to 2014. The...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alexander, Alleghany, Anson, Ashe, Bladen, All tags...
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This data release provides digital flight line data for a high-resolution airborne magnetic and radiometric survey over Charleston, South Carolina and the surrounding region. These data were collected to better understand earthquake hazards in the Charleston seismic zone by imaging structural features in the crystalline basement and to image heavy mineral sands containing titanium, zirconium, and rare earth elements using radiometric data (gamma spectrometry), which is sensitive to thorium in monazite. This survey represents a collaborative effort by the U.S. Geological Survey (USGS) Earthquake Hazards Program, Mineral Resources Program, National Cooperative Mapping Program, and Earth Mapping Resource Initiative...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Berkeley County, Charleston, Charleston County, Clarendon County, Colleton County, All tags...
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Reliable peak-streamflow information is critical for proper design of stream-related infrastructure, such as bridges, and StreamStats provides a user-friendly interface to estimate peak flows (https://streamstats.usgs.gov/ss/). StreamStats develops these peak-flow estimates using basin characteristics for the entire contributing area to a user-selected point; however, infrastructure planners often need to estimate flows for an area downstream from a known control such as a reservoir release or a weir. This dataset was compiled in cooperation with the South Carolina Department of Transportation (SCDOT) to provide a Geographic Information Systems layer of filtered regulation points from the National Inventory of Dams...
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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 map layer shows polygons of average annual precipitation in thecontiguous United States, for the climatological period 1961-1990.Parameter-elevation Regressions on Independent Slopes Model (PRISM)derived raster data is the underlying data set from which the polygonsand vectors were created. PRISM is an analytical model that uses pointdata and a digital elevation model (DEM) to generate gridded estimatesof annual, monthly and event-based climatic parameters.
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This shapefile contains summaries of habitat condition indices (HCI scores) from the National Fish Habitat Action Plan (NFHAP) 2010 National Assessments for 8 digit Hydrological Unit Codes (HUC8s) of the United States. Initial HCI scores were developed in three separate assessments (Conterminous U.S., Hawaii, and Alaska) due to differences in data availability across these regions. In the initial NFHAP 2010 Alaska assessment HCI values were attributed to HUC12s. For this reason, to summarize data into HUC8s for Alaska an area-weighted average was used (i.e. the cumulative HCI score assigned to each HUC12 within a HUC8 was weighted by reach area using the formula (H1*A1+H2*A2...+HX*AX)/(A1+A2...+AX) where H = HCI...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 2010 National Assessment, 2010 National Assessment, Alabama, Alaska, Anthropogenic factors, All tags...
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This dataset represents results from this study attributed to the NHDPlus V2 catchments. Changes in climate occurring throughout the Mississippi River Basin are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing changing thermal properties and flow regimes. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project provides a suite of climate metrics that have been found to be relevant to the distribution and population structure of aquatic organisms in freshwater stream networks. These results provide natural resource managers, decision-makers,...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alabama, Alabama, Arkansas, Arkansas, All tags...
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This dataset represents results from this study attributed to the NHDPlus V2 catchments. Changes in climate occurring throughout the Mississippi River Basin are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing changing thermal properties and flow regimes. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project provides a suite of climate metrics that have been found to be relevant to the distribution and population structure of aquatic organisms in freshwater stream networks. These results provide natural resource managers, decision-makers,...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alabama, Arkansas, Colorado, Complete, All tags...
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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey prepared a geospatial raster dataset describing impervious surface in the SC StreamStats study area derived from the 30m resolution National Land Cover Dataset (NLCD) 2019. This layer, which covers the SC StreamStats study area, has been resampled from the source resolution to a scale of 30ft pixels and reprojected to the common projection of the other project data layers (SC State Plane NAD 1983 International Feet WKID 2273). It will be served as part of the SC StreamStats application (https://streamstats.usgs.gov) to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools...
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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 folder contains descriptions and analytical data (i.e., electron microprobe, X-ray diffraction, spectral reflectance, and scanning electron microprobe analyses) for unexpanded and expanded vermiculite samples. These data are provided for 52 samples of vermiculite attic insulation, horticultural products, aggregate, and packing materials derived from mines near Enoree, South Carolina; Libby, Montana; Louisa, Virginia; Palabora, South Africa; and Jiangsu, China collected from 2000 to 2016. X-ray diffraction data for a limited set of the 52 expanded vermiculite samples are also given in figures included in the sample description pdf files. Quantitative XRD diffractograms are included for an ore sample from each...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Bull Island, CERC, CERC map, CMGP, All tags...
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The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled from multiple sources, but principally represent lidar-derived linework from the South Carolina Department of Natural Resources and the South Carolina Lidar Consortium.The South Carolina hydrography lines were created from elevation rasters that ranged from 4 to 10 ft resolution, to produce a product of approximately 1:6,000-scale....
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Abbeville County, Aiken County, Allendale County, Anderson County, Bamberg County, All tags...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Mississippi. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Mississippi. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New Hampshire. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New Hampshire. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Tennessee. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Tennessee. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Southeast Aquatic Resource Partnership. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the boundary of the Southeast Aquatic Resource Partnership. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Alabama. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Alabama. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Iowa. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Iowa. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions in the...


map background search result map search result map Iowa: NFHAP 2010 HCI Scores and Disturbances Tennessee: NFHAP 2010 HCI Scores and Disturbances Alabama: NFHAP 2010 HCI Scores and Disturbances New Hampshire: NFHAP 2010 HCI Scores and Disturbances Mississippi: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC8 National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Southeast Aquatic Resource Partnership Average Annual Precipitation (PRISM model) 1961 - 1990 Spectroscopy of Expanded Vermiculite Products and Insulation Expanded Vermiculite Sample Descriptions Shorelines of the South Carolina (SC) coastal region used in shoreline change analysis Data: Current and future CCCma CGCM3.1 climate data for NHD v2 catchments within the Mississippi River Basin Stream Lines Used to Produce the South Carolina StreamStats 2018 Release Data: Current and future GISS MODEL-ER climate data for NHD v2 catchments within the Mississippi River Basin Airborne magnetic and radiometric survey, Charleston, South Carolina and surrounds, 2019 Soil and Water Assessment Tool (SWAT) models for the Pee Dee River Basin used to simulate future streamflow and irrigation demand based on climate and urban growth projections Point Locations of Dams in South Carolina, derived from U.S. Army Corps Engineers National Inventory of Dams Impervious Land Cover Raster Derived from the National Land Cover Dataset (NLCD) 2019 for South Carolina StreamStats Intersects for the coastal region of South Carolina generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 Baseline for the South Carolina coastal region, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Airborne magnetic and radiometric survey, Charleston, South Carolina and surrounds, 2019 Shorelines of the South Carolina (SC) coastal region used in shoreline change analysis Intersects for the coastal region of South Carolina generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 Baseline for the South Carolina coastal region, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 New Hampshire: NFHAP 2010 HCI Scores and Disturbances Soil and Water Assessment Tool (SWAT) models for the Pee Dee River Basin used to simulate future streamflow and irrigation demand based on climate and urban growth projections Tennessee: NFHAP 2010 HCI Scores and Disturbances Point Locations of Dams in South Carolina, derived from U.S. Army Corps Engineers National Inventory of Dams Iowa: NFHAP 2010 HCI Scores and Disturbances Alabama: NFHAP 2010 HCI Scores and Disturbances Mississippi: NFHAP 2010 HCI Scores and Disturbances Impervious Land Cover Raster Derived from the National Land Cover Dataset (NLCD) 2019 for South Carolina StreamStats Stream Lines Used to Produce the South Carolina StreamStats 2018 Release National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Southeast Aquatic Resource Partnership Data: Current and future CCCma CGCM3.1 climate data for NHD v2 catchments within the Mississippi River Basin Data: Current and future GISS MODEL-ER climate data for NHD v2 catchments within the Mississippi River Basin Average Annual Precipitation (PRISM model) 1961 - 1990 Spectroscopy of Expanded Vermiculite Products and Insulation Expanded Vermiculite Sample Descriptions National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC8