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Federal
Northwest Peninsular Florida 2016 ESI SOCECON Polygons, Lines, Points
National Oceanic and Atmospheric Administration, Department of Commerce —
This data set contains vector polygons depicting locations of archaeological sites; vector lines depicting locations of rail routes and roads; and vector points... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2080 Intermediate-High Scenario: 50 Days Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2090 Intermediate-Low Scenario: 20 Days Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2040 Intermediate-High Scenario: 1 Day Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Sea Level Rise: American Samoa: High-Tide Flooding: 2100 Low Scenario
National Oceanic and Atmospheric Administration, Department of Commerce —
This high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a... -
Federal
Sea Level Rise: American Samoa: Extreme High-Tide Flooding: 2090 High Scenario: 50 Days Per Year
National Oceanic and Atmospheric Administration, Department of Commerce —
This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred... -
Federal
Maine and New Hampshire 2016 POLITICAL_LINES (Political or Jurisdictional Management Lines)
National Oceanic and Atmospheric Administration, Department of Commerce —
This data set contains vector lines depicting locations for International Border and State for Maine and New Hampshire. Location-specific type and source information... -
Federal
Northwest Peninsular Florida 2016 HYDROL (Hydrography Lines)
National Oceanic and Atmospheric Administration, Department of Commerce —
This data set contains vector lines representing coastal hydrography features that are not captured in the HYDROP polygon data layer. Typically, the features found in... -
Federal
Chesapeake Bay and the Outer Coasts of Maryland and Virginia 2016 ESI HERP (Reptile and Amphibian) Polygons
National Oceanic and Atmospheric Administration, Department of Commerce —
This data set contains sensitive biological resource data for sea turtles, estuarine turtles, and T/E herps in Chesapeake Bay and the Outer Coasts of Maryland and... -
Federal
Dams and Sediment in the Hudson (DaSH) - NERRS/NSC(NERRS Science Collaborative)
National Oceanic and Atmospheric Administration, Department of Commerce —
Dams and Sediment in the Hudson answered key questions about how dam removal will impact conditions in the estuary and offered surprising new findings about tidal... -
Federal
GOM WM UAS Oil Extent 042517 0105
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
South Carolina 2015 ESI MARINE MAMMAL Polygons
National Oceanic and Atmospheric Administration, Department of Commerce —
This data set contains sensitive biological resource data for whales, dolphins, and manatees in South Carolina. Vector polygons in this data set represent marine... -
Federal
Refugio GNOME NRDA Trajectory May 21
National Oceanic and Atmospheric Administration, Department of Commerce —
On May 19, 2015, a pipeline owned ruptured in Santa Barbara County, California, near Refugio State Beach. An estimated 21,000 gallons of the oil flowed overland from... -
Federal
South Carolina 2015 ESI BIRD Polygons, Points
National Oceanic and Atmospheric Administration, Department of Commerce —
This data set contains sensitive biological resource data for wading birds, shorebirds, waterfowl, raptors, diving birds, seabirds, passerine birds, and gulls and... -
Federal
Southwest Peninsular Florida 2016 ESI PARKS-MANAGED AREAS Polygons
National Oceanic and Atmospheric Administration, Department of Commerce —
This data set contains human-use resource data for marine sanctuaries, national parks, NOAA NERR locations, state parks, state protected areas, and wildlife refuges... -
Federal
GOM Sorbent Pad 20170817
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
GOM TRACS 11-16-2016 1000 feet
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
Refugio GNOME NRDA Trajectory May 20
National Oceanic and Atmospheric Administration, Department of Commerce —
On May 19, 2015, a pipeline owned ruptured in Santa Barbara County, California, near Refugio State Beach. An estimated 21,000 gallons of the oil flowed overland from... -
Federal
GL_St_Marys_River_2021 ESI SOCECON Lines, Points
National Oceanic and Atmospheric Administration, Department of Commerce —
These feature classes reside within the SOCECON Feature Data Set of the Great Lakes St. Marys River - 2021 ESI Geodatabase. They contain vector lines and points... -
Federal
Georgia 2015 ESI HABITAT Polygons
National Oceanic and Atmospheric Administration, Department of Commerce —
This feature class resides within the BIOLOGY Feature Data Set of the Georgia - 2015 ESI Geodatabase. It contains sensitive biological resource data for state-listed...
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