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This data release provides the georeferenced boundaries that delimit each spatial unit of the Great Lakes Regional Aquatic Gap Analysis Project (GLGap) Coastal Hydrospatial Framework at each spatial scale from the local 90m cell to the entire Laurentian Great Lakes system and from the shoreline to the deepest offshore waters. The U.S. Geological Survey and the U.S. Fish and Wildlife Service collaborated to design a universal framework of spatial areas that encompass all space of the Laurentian Great Lakes proper. Agglomeration of the finest units (90m cells) form coarser, broader scale units. Finer units are nested within the coarser units at six spatial scales, labeled as Local Cells, Aquatic Habitat Areas, Coastal...
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
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Natural and anthropogenic contaminants, pathogens, and viruses are found in soils and sediments throughout the United States. Enhanced dispersion and concentration of these environmental health stressors in coastal regions can result from sea level rise and storm-derived disturbances. The combination of existing environmental health stressors and those mobilized by natural or anthropogenic disasters could adversely impact the health and resilience of coastal communities and ecosystems. This dataset displays the exposure potential to environmental health stressors in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. Exposure...
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
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This represents the flowline network in Western Lale Erie Restoration Assessment (WLERA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, FWHydrography, Great Lakes, Hydrography, All tags...
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As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate the vulnerability of coastal wetlands to various factors and to evaluate their ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey, was selected as a pilot study area. As part of this data synthesis effort, hydrodynamic and sediment transport...
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This represents the flowline network in Connecting River Systems Restoration Assessment (CRSRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, Detroit River, FWHydrography, Great Lakes, All tags...
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
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This represents the flowline network in Sagina Bay Restoration Assessment (SBRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, FWHydrography, Great Lakes, Hydrography, All tags...
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During 2013-2017, the U.S. Geological Survey, National Water-Quality Assessment (NAWQA) Project, collected water samples year-round from the National Water Quality Network – Rivers and Streams (NWQN) and reported on 221 pesticides at 72 sites across the US in agricultural, developed, and mixed land use watersheds. Pesticide Toxicity Index (PTI) scores, a screening-level tool that uses an additive, toxic-unit model, were calculated to estimate the potential chronic and acute toxicity to 3 taxonomic groups – fish, cladocerans, and benthic invertebrates. The pesticide that makes the single largest (maximum) contribution to the PTI is called TUmax. This dataset consists of the PTI and TUmax scores, as well as, the TUmax...


    map background search result map search result map Saginaw Bay Restoration Assessment Degree Flowlines Saginaw Bay Restoration Assessment Dikes Connecting River Systems Restoration Assessment Degree Flowlines Connecting River Systems Restoration Assessment Dikes Western Lake Erie Restoration Assessment Degree Flowlines Western Lake Erie Restoration Assessment Dikes Hydrospatial Framework for the Laurentian Great Lakes Exposure potential of salt marsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors Wetland data layers derived from Barnegat Bay Little Egg Harbor hydrodynamic model Pesticide Toxicity Index (PTI) and maximum Toxic Unit (TUmax) scores and information for fish, cladocerans, and benthic invertebrates from water samples collected at National Water Quality Network sites during Water Years 2013-2017 Exposure potential of salt marsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors Wetland data layers derived from Barnegat Bay Little Egg Harbor hydrodynamic model Connecting River Systems Restoration Assessment Dikes Connecting River Systems Restoration Assessment Degree Flowlines Western Lake Erie Restoration Assessment Dikes Western Lake Erie Restoration Assessment Degree Flowlines Saginaw Bay Restoration Assessment Dikes Saginaw Bay Restoration Assessment Degree Flowlines Hydrospatial Framework for the Laurentian Great Lakes Pesticide Toxicity Index (PTI) and maximum Toxic Unit (TUmax) scores and information for fish, cladocerans, and benthic invertebrates from water samples collected at National Water Quality Network sites during Water Years 2013-2017