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The collection of borehole geophysical logs and images and continuous water-level data was conducted by the U.S. Geological Survey South Atlantic Water Science Center in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina, during December 2012 through July 2015. The study purpose was part of a continued effort to assist the U.S. Environmental Protection Agency in the development of a conceptual groundwater model for the assessment of current contaminant distribution and future migration of contaminants. Previous work by the U.S. Geological Survey South Atlantic Water Science Center at the site involved similar data collection, in addition to surface geologic mapping and passive diffusion...
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This dataset, termed "GAGES II", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES, which was published as a Data Paper on the journal Ecology's website (Falcone and others, 2010b) in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Reference gages were identified based on indicators that they...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama, Alaska, All 50 states, Arizona, Arkansas, All tags...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Ohio River Basin Fish Habitat 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 Ohio River Basin Fish Habitat 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...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Montana. 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 Montana. 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...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New York. 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 York. 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...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Ohio. 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 Ohio. 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 service definition 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...
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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 South Dakota. 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 South Dakota. 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...
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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.
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An initial reconnaissance survey in March 2016 and a subsequent survey in July 2016 was conducted to identify possible groundwater discharge points along the stream reach using a forward-looking infrared (FLIR) camera in seasonal extremes. The high-resolution thermal imaging camera captures the emitted infrared radiation of the objects in view. Recent studies using similar ground-based thermal infrared imaging techniques have been successful in qualitatively locating groundwater discharge along discrete features, such as fractures and faults, as well as diffuse seepage along stream banks (Deitchman and Loheide, 2009; Pandey and others, 2013). Sites of interest were those where temperature differences were observed...
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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 Georgia. 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 Georgia. 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 Louisiana. 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 Louisiana. 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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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...
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Forest Retention Index classes for the southeastern United States at 2040 were processed using the Forest Retention Decision Tree and rendered on a 30-meter by 30-meter grid. The Forest Retention Index is used only for current forestland, identified using National Land Cover Database 2011. Many datasets were used as inputs for the Forest Retention Decision Tree, and they can be grouped into five broad categories: Protected, Tier 1 Priority, Tier 2 Priority, Threats to Forest Retention, and Socio-Economic Value of Forests. Protected datasets include Protected Areas Database-United States, National Conservation Easement Database, state-maintained databases, and private datasets volunteered by conservation partners....
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Desert Fish Habitat 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 Desert Fish Habitat 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 were assembled;...
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The data document the results of several microbe bioassays performed by the USGS on Phragmites australis plants, including those performed on mature leaves, seedlings, and dead leaf tissues exploration of the literature to find accounts of microbes associated with Phragmites worldwide. For the bioassays, we prepared 162 pure cultures isolated from Phragmites plants in North America along the east coast, Florida, the Gulf of Mexico, and the Great Lakes area, 125 of which were from a previous study, and 38 represent new collections. The DNA sequences used to identify the 37 new collections are included. Microbes were isolated from plants collected from 2015-2018. We performed assays using both North American plant...
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This dataset represents public and non-governmental organizations (NGO) beaches in the North and Mid-Atlantic. The data are part of a larger project, Inventory of Habitat Modifications to Sandy Oceanfront Beaches in the U.S. Atlantic Coast Breeding Range of the Piping Plover (Charadrius melodus) as of 2015: Maine to North Carolina. Beachfront land parcels in public or NGO ownership were delineated from a variety of sources, including county or municipal parcel data available online to the public (see Table 1 of Rice 2015b for a full list of sources consulted for Maine to New York). Public and NGO-owned beachfront parcels are delineated with narrow, lime green lines in Google Earth Pro. The public / NGO line segments...
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This shapefile is the official boundary of the Eastern Brook Trout Joint Venture. The boundary was originally developed by the United States Fish and Wildlife Service and was updated in 2013 to reflect revisions from the Eastern Brook Trout Joint Venture, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.


map background search result map search result map National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Desert Fish Habitat Partnership South Dakota: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances Louisiana: NFHAP 2010 HCI Scores and Disturbances GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow Official Recognized Boundary of Eastern Brook Trout Joint Venture, 2013 National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Montana: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New York: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Ohio: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Tennessee: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Ohio River Basin Fish Habitat Partnership: ESRI Service Definition SLEUTH Urban Growth Projection for West Virginia Water level data during pumping for stressed HPFM measurements for selected boreholes near GMH Electronics Superfund site, Roxboro, NC (2012-2015) Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14, Appendix 3 Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for central North Carolina (NCcentral) Forest Retention Index for the South at year 2040 Thermal Imagery along Ellerbe Creek in Durham, North Carolina Public and NGO Beaches, 2015, North and Mid-Atlantic U.S. The effects of North American fungi and bacteria on Phragmites australis leaves 2017-2019, with comparisons to the global Phragmites microbiome Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for central North Carolina (NCcentral) Water level data during pumping for stressed HPFM measurements for selected boreholes near GMH Electronics Superfund site, Roxboro, NC (2012-2015) Thermal Imagery along Ellerbe Creek in Durham, North Carolina Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14, Appendix 3 National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Tennessee: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Ohio: ESRI Service Definition Louisiana: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances South Dakota: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New York: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Montana: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Ohio River Basin Fish Habitat Partnership: ESRI Service Definition Public and NGO Beaches, 2015, North and Mid-Atlantic U.S. SLEUTH Urban Growth Projection for West Virginia Official Recognized Boundary of Eastern Brook Trout Joint Venture, 2013 Forest Retention Index for the South at year 2040 National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Desert Fish Habitat Partnership Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow The effects of North American fungi and bacteria on Phragmites australis leaves 2017-2019, with comparisons to the global Phragmites microbiome