AndreaBozzo/ceres-open-data-index huggingface dataset:
South Carolina 2015 ESI INVERTEBRATE Polygons

This data set contains sensitive biological resource data for marine and estuarine invertebrate species in South Carolina.  Vector polygons in this data set represent invertebrate distribution, spawning areas, and concentration areas. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for South Carolina.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2015, animals/invertebrates, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, south carolina, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM FT 2016-11-14 SLAR run 2

These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has experienced an ongoing chronic oil discharge since 2004. Data shown here in NOAAâs Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, fototerra, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Delaware / New Jersey / Pennsylvania 2014 HYDRO Lines Polygons

This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Delaware/New Jersey/Pennsylvania. The HYDRO data layer contains all annotation used in producing the atlas. The annotation features are categorized into three subclasses in order to simplify the mapping and quality control procedures: GEOG for geographic features, SOC for socioeconomic features, and HYDRO for water features. This data set comprises a portion of the ESI data for Delaware/New Jersey/Pennsylvania.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.  See also the ESIL (ESI shoreline lines) and ESIP (ESI shoreline polygons) data layers, part of the larger Delaware/New Jersey/Pennsylvania ESI database, for additional ESI information.

Tags: 2014, and pennsylvania), coastal processes, coastal resources, coastal zone management, continent, delaware, delaware bay, delaware bay (delaware, delaware river, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, intertidal habitats, national ocean service, new jersey, noaa, north america, oceans, office of response and restoration, oil spill planning, oil spills, pennsylvania, sensitivity maps, shorelines, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
MC20 Oil On Water Sampling Track 2018-08-17

These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using RS Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has an ongoing chronic oil discharge. Data shown here in NOAAâs Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_Mackinac 2019 ESI BENTHIC Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Great Lakes - Straits of Mackinac 2019 ESI Geodatabase.  It contains vector polygons representing BENTHIC data for the Straits of Mackinac area of interest.

The study area includes the Straits of Mackinac, nearby portions of Lake Michigan and Lake Huron, and adjacent lands and waters in northern Michigan. This data set contains sensitive biological resource data for submerged aquatic vegetation (SAV). Vector polygons in this data set represent SAV.

Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer.  This data set is a portion of the ESI data for the Great Lakes - Straits of Mackinac.

As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2019, benthic, biosphere, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, environmental sensitivity index, esi, great lakes, great lakes - straits of mackinac esi, human dimensions, lake huron, lake michigan, marine ecosystems, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, straits of mackinac, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM FT 2017-04-25 IR run 6

These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has experienced an ongoing chronic oil discharge since 2004. Data shown here in NOAAâs Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, fototerra, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Florida Panhandle: TERRESTRIAL MAMMAL (Polygons)

This data set contains sensitive biological resource data for beach mice and red wolf in the Florida Panhandle. Vector polygons in this data set represent terrestrial mammal distribution. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Florida. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2024, biota, coastal resources, coastal zone management, doc/noaa/nos/orr, environment, environmental monitoring, esi, florida, florida panhandle esi, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, terrestrial mammal, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Outer Coast of Washington and Oregon 2014 ESI SOCECON Lines, Points

This data set contains lines depicting emergency evacuation routes in the event of a tsunami, and points showing locations of airports, beaches, campgrounds, EPA facilities, heliports, historical sites, and wash overs found along the  Outer Coast of Washington and Oregon. 

As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The entirety of the ESI Human-Use data layers for this region consists of: PARKS-MANAGED AREAS Polygons; NAVIGATION-MARINE Points; POLITICAL-JURISDICTIONAL Polygons, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Points, Lines; and NATURAL HAZARD Polygons.

Tags: 2014, coastal resources, coastal zone management, continent, cultural features, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, human use resources, infrastructure, management areas, national ocean service, noaa, north america, north pacific ocean, ocean, office of response and restoration, oil spill planning, oil spills, oregon, pacific ocean, resource management, sensitivity maps, u.s. department of commerce, united states of america, washington, washington and oregon - outer coasts
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Lake Michigan: BIRDS (Polygons, Points)

The polygonal BIRDS data set contains sensitive biological resource data for wading birds, shorebirds, waterfowl, raptors, diving birds, passerine birds, and gulls and terns in Lake Michigan.  Vector polygons in this data set represent bird nesting, migratory staging, and wintering sites. 

The point BIRDSPT data set contains sensitive biological resource data for wading birds, diving birds, gulls and terns in Lake Michigan.  Vector points in this data set represent bird nesting sites. 

Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables designed to be used in conjunction with this spatial data layer. 

These data sets comprise a portion of the ESI data for Lake Michigan.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2025, bird, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, great lakes - lake michigan esi, lake michigan, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_LAKE_ONTARIO_2023 ESI POLITICAL/JURISDICTIONAL Points, Lines

These feature classes reside within the SOCECON Feature Data Set of the Great Lakes Ontario 2023 ESI Geodatabase.  They contain vector points and lines representing Political human-use resource data for the Lake Ontario System and adjacent lands and waters, specifically depicting coast guard units and representing the international border for Lake Ontario.

The study area includes the United States portion of Lake Ontario, covering the islands in New York: Association Island, Bass Island, Calf Island, Carl Island, Cherry Island, Eagle Island, Fox Island, Galloo Islands, Grenadier Island, Horse Island, Hoveys Island, Six Point Town, and Stony Island. Major Lake Ontario bays mapped include: Black River Bay, Blind Sodus Bay, Braddock Bay, Chaumont Bay, Guffin Bay, Irondequoit Bay, Henderson Bay, Little Sodus Bay, Mexico Bay, Port Bay, Sawyer Bay, and Sodus Bay.

Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. 

These data sets are a portion of the ESI data for the Lake Ontario System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2023, aquatic ecosystems, biosphere, boundaries, coastal landforms, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, environmental sensitivity index, esi, geomorphic landforms/processes, great lakes, great lakes - lake ontario esi, human dimensions, lake ontario, land surface, national ocean service, new york, noaa, north america, oceans, office of response and restoration, oil spill planning, oil spills, political divisions, sensitivity maps, shorelines, state boundaries, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_Mackinac 2019 ESI FISH Polygons, Lines, Points

These feature classes reside within the BIOLOGY Feature Data Set of the Great Lakes -  Straits of Mackinac - 2019 ESI Geodatabase.  It contains vector polygons, lines, and points representing FISH data for the Great Lakes - Straits of Mackinac area of interest.

The study area includes the Straits of Mackinac, nearby portions of Lake Michigan and Lake Huron, and adjacent lands and waters in northern Michigan. These data sets contain sensitive biological resource data for freshwater fish species. Vector polygons, lines, and points in these data sets represent fish distribution, concentration areas, and spawning areas.

Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer.  This data set is a portion of the ESI data for the Great Lakes - Straits of Mackinac study area.

As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2019, animals/vertebrates, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, fish, great lakes, great lakes - straits of mackinac esi, human dimensions, lake huron, lake michigan, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, straits of mackinac, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_LAKE_ERIE_2022 ESI SOCECON Polygons, Points

These feature classes reside within the SOCECON Feature Data Set of the Lake Erie - 2022 ESI Geodatabase.  They contain vector polygons and points representing Socioeconomic human-use resource data for Lake Erie and adjacent lands and waters. The study area includes the United States portion of Lake Erie, covering the coastal portions of Ohio, Pennsylvania, and New York from the Michigan/Ohio border to the west to the New York/Canada border to the east.

These data sets contain information about the following resources: National Register of Historic Places historical sites, beaches, and heliports in Lake Erie.

Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. 

This data set is a portion of the ESI data for the Lake Erie System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2022, aquatic ecosystems, biosphere, coastal landforms, coastal processes, coastal resources, coastal zone management, continent, cultural features, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, environmental sensitivity index, esi, geomorphic landforms/processes, great lakes, great lakes - lake erie esi, human dimensions, infrastructure, lake erie, land surface, national ocean service, new york, noaa, north america, oceans, office of response and restoration, ohio, oil spill planning, oil spills, pennsylvania, sensitivity maps, shorelines, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_St_Marys_River_2021 ESI NAVIGATIONAL/MARINE Points

This feature class resides within the SOCECON Feature Data Set of the Great Lakes St. Marys River 2021 ESI Geodatabase.  It contains vector points representing Navigational/marine human-use resource data for the Great Lakes St. Marys River System and adjacent lands and waters. The study area includes the St. Marys River at the southern portion of Lake Superior beginning just east of Monocle Lake and south of Iroquois Island ending to the headwaters of Lake Huron.

This data set contains information about the following resources: anchorages, boat ramps, ferry terminals, lock and dam systems, and marinas in the St. Marys River.  

Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. 

This data set is a portion of the ESI data for Great Lakes St. Marys River System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2021, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, great lakes, great lakes - st.marys river esi, human dimensions, human use resources, infrastructure, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, socioeconomic resources, st. marys river, transportation, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM FT 2016-11-14 VIS run 3

These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has experienced an ongoing chronic oil discharge since 2004. Data shown here in NOAAâs Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, fototerra, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce