Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2010

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Seabeach amaranth, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, vegetation, Fewer tags

Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Seabeach amaranth, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, vegetation, Fewer tags

Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2008

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Seabeach amaranth, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, vegetation, Fewer tags

Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions and atrazine use estimates included.

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...

Tags: Atrazine, Colorado, Desethyl-atrazine, Ground water, Ground-water contamination, All tags... Ground-water probability, Ground-water quality, Ground-water susceptibility, Ground-water vulnerability, NSDI, Nitrate, Probability, Probability of ground-water contamination, Susceptibility, USGS Science Data Catalog (SDC), Vulnerability, environment, geoscientificInformation, inlandWaters, inlandWaters, Fewer tags

Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions not included and atrazine use estimates included.

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...

Tags: Atrazine, Colorado, Desethyl-atrazine, Ground water, Ground-water contamination, All tags... Ground-water probability, Ground-water quality, Ground-water susceptibility, Ground-water vulnerability, NSDI, Nitrate, Probability, Probability of ground-water contamination, Susceptibility, USGS Science Data Catalog (SDC), Vulnerability, environment, geoscientificInformation, inlandWaters, inlandWaters, Fewer tags

Raster dataset showing the probability of elevated concentrations of nitrate in ground water in Colorado, hydrogeomorphic regions and fertilizer use estimates included.

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...

Tags: Atrazine, Colorado, Desethyl-atrazine, Ground water, Ground-water contamination, All tags... Ground-water probability, Ground-water quality, Ground-water susceptibility, Ground-water vulnerability, NSDI, Nitrate, Probability, Probability of ground-water contamination, Susceptibility, USGS Science Data Catalog (SDC), Vulnerability, elevation, geoscientificInformation, inlandWaters, inlandWaters, Fewer tags

Barrier island geomorphology and seabeach amaranth metrics at 50-m alongshore transects, and 5-m cross-shore points for 2008 — Assateague Island, MD and VA.

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...

Categories: Data; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, Mean Lower Low Water, North America, Probability, Sea Level Rise, Sea-level change, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags

Raster dataset showing the probability of elevated concentrations of nitrate in ground water in Colorado, hydrogeomorphic regions and fertilizer use estimates not included.

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and (or) desethyl-atrazine (atrazine/DEA)...

Tags: Atrazine, Colorado, Desethyl-atrazine, Ground water, Ground-water contamination, All tags... Ground-water probability, Ground-water quality, Ground-water susceptibility, Ground-water vulnerability, NSDI, Nitrate, Probability, Probability of ground-water contamination, Susceptibility, USGS Science Data Catalog (SDC), Vulnerability, elevation, geoscientificInformation, inlandWaters, inlandWaters, Fewer tags

Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions included and atrazine use estimates not included.

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and (or) desethyl-atrazine (atrazine/DEA)...

Tags: Atrazine, Colorado, Desethyl-atrazine, Ground water, Ground-water contamination, All tags... Ground-water probability, Ground-water quality, Ground-water susceptibility, Ground-water vulnerability, NSDI, Nitrate, Probability, Probability of ground-water contamination, Susceptibility, USGS Science Data Catalog (SDC), Vulnerability, environment, geoscientificInformation, inlandWaters, inlandWaters, Fewer tags

Boundary of the Eagle River Watershed Valley-Fill Aquifer, Eagle County, North-Central Colorado, 2006-2007

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This vector data set delineates the approximate boundary of the Eagle River watershed valley-fill aquifer (ERWVFA). This data set was developed by a cooperative project between the U.S. Geological Survey, Eagle County, the Eagle River Water and Sanitation District, the Town of Eagle, the Town of Gypsum, and the Upper Eagle Regional Water Authority. This project was designed to evaluate potential land-development effects on groundwater...

Tags: Brush Creek, CFC, Colorado, Dotsero, CO, Eagle County, CO, All tags... Eagle River, Eagle River Watershed, Eagle, CO, Edwards, CO, Gypsum Creek, Gypsum, CO, Minturn, CO, NSDI, USGS Science Data Catalog (SDC), VOC, Vail, CO, Wolcott, CO, aquifer, chlorofluorocarbons, contamination, ground water, groundwater, groundwater age, inlandWaters, logistic regression, nitrate, probability, probability of groundwater contamination, susceptibility, volatile organic compound, vulnerability, Fewer tags

Probability of Elevated Nitrate Concentrations in Groundwater in the Eagle River Watershed Valley-Fill Aquifer, Eagle County, North-Central Colorado, 2006-2007

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This raster data set delineates the predicted probability of elevated nitrate concentrations in groundwater in the Eagle River watershed valley-fill aquifer, Eagle County, North-Central Colorado, 2006-2007. This data set was developed by a cooperative project between the U.S. Geological Survey, Eagle County, the Eagle River Water and Sanitation District, the Town of Eagle, the Town of Gypsum, and the Upper Eagle Regional Water Authority....

Tags: Brush Creek, CFC, Colorado, Dotsero, CO, Eagle County, CO, All tags... Eagle River, Eagle River Watershed, Eagle, CO, Edwards, CO, Gypsum Creek, Gypsum, CO, Minturn, CO, NSDI, USGS Science Data Catalog (SDC), VOC, Vail, CO, Wolcott, CO, chlorofluorocarbons, contamination, ground water, groundwater, inlandWaters, logistic regression, nitrate, probability, probability of groundwater contamination, susceptibility, volatile organic compounds, vulnerability, Fewer tags

Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions and atrazine use estimates not included.

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...

Tags: Atrazine, Colorado, Desethyl-atrazine, Ground water, Ground-water contamination, All tags... Ground-water probability, Ground-water quality, Ground-water susceptibility, Ground-water vulnerability, NSDI, Nitrate, Probability, Probability of ground-water contamination, Susceptibility, USGS Science Data Catalog (SDC), Vulnerability, environment, geoscientificInformation, inlandWaters, inlandWaters, Fewer tags

Probability of Elevated Volatile Organic Compound (VOC) Concentrations in Groundwater in the Eagle River Watershed Valley-Fill Aquifer, Eagle County, North-Central Colorado, 2006-2007

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This raster data set delineates the predicted probability of elevated volatile organic compound (VOC) concentrations in groundwater in the Eagle River watershed valley-fill aquifer, Eagle County, North-Central Colorado, 2006-2007. This data set was developed by a cooperative project between the U.S. Geological Survey, Eagle County, the Eagle River Water and Sanitation District, the Town of Eagle, the Town of Gypsum, and the Upper...

Categories: pre-SM502.8; Tags: Brush Creek, CFC, Colorado, Dotsero, CO, Eagle County, CO, All tags... Eagle River, Eagle River Watershed, Eagle, CO, Edwards, CO, Gypsum Creek, Gypsum, CO, Minturn, CO, NSDI, USGS Science Data Catalog (SDC), VOC, Vail, CO, Wolcott, CO, chlorofluorocarbon, contamination, ground water, groundwater, inlandWaters, logistic regression, nitrate, probability, probability of groundwater contamination, susceptibility, volatile organic compound, vulnerability, Fewer tags

Raster dataset showing the probability of elevated concentrations of nitrate in ground water in Colorado, hydrogeomorphic regions included and fertilizer use estimates not included.

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...

Categories: pre-SM502.8; Tags: Atrazine, Colorado, Desethyl-atrazine, Ground water, Ground-water contamination, All tags... Ground-water probability, Ground-water quality, Ground-water susceptibility, Ground-water vulnerability, NSDI, Nitrate, Probability, Probability of ground-water contamination, Susceptibility, USGS Science Data Catalog (SDC), Vulnerability, elevation, geoscientificInformation, inlandWaters, inlandWaters, Fewer tags

Probability of Unmixed Young Groundwater (defined using chlorofluorocarbon-11 concentrations and tritium activities) in the Eagle River Watershed Valley-Fill Aquifer, Eagle County, North-Central Colorado, 2006-2007

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This raster data set delineates the predicted probability of unmixed young groundwater (defined using chlorofluorocarbon-11 concentrations and tritium activities) in groundwater in the Eagle River watershed valley-fill aquifer, Eagle County, North-Central Colorado, 2006-2007. This data set was developed by a cooperative project between the U.S. Geological Survey, Eagle County, the Eagle River Water and Sanitation District, the Town...

Categories: pre-SM502.8; Tags: Brush Creek, CFC, Colorado, Dotsero, CO, Eagle County, CO, All tags... Eagle River, Eagle River Watershed, Eagle, CO, Edwards, CO, Gypsum Creek, Gypsum, CO, Minturn, CO, NSDI, USGS Science Data Catalog (SDC), VOC, Vail, CO, Wolcott, CO, chlorofluorocarbon, contamination, ground water, groundwater, groundwater age, inlandWaters, logistic regression, nitrate, probability, probability of groundwater contamination, susceptibility, volatile organic compound, vulnerability, Fewer tags

Raster dataset showing the probability of elevated concentrations of nitrate in ground water in Colorado, hydrogeomorphic regions not included and fertilizer use estimates included.

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...

Categories: pre-SM502.8; Tags: Atrazine, Colorado, Desethyl-atrazine, Ground water, Ground-water contamination, All tags... Ground-water probability, Ground-water quality, Ground-water susceptibility, Ground-water vulnerability, NSDI, Nitrate, Probability, Probability of ground-water contamination, Susceptibility, USGS Science Data Catalog (SDC), Vulnerability, elevation, geoscientificInformation, inlandWaters, inlandWaters, Fewer tags