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

This data set contains sensitive biological resource data for federally endangered and threatened plants, rare state plants, and sensitive ecological communities in South Carolina.  Vector polygons in this data set represent federally endangered and threatened plant, rare state plant, and sensitive ecological community distributions. 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, biological classification, biosphere, 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, plants, sensitivity maps, south carolina, u.s. department of commerce, united states of america, vegetation
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_LAKE_ONTARIO_2023 ESI BIRDS Polygons

These feature classes reside within the BIOLOGY Feature Data Set of the Lake Ontario 2023 ESI Geodatabase.  It contains vector polygons representing BIRDS data 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.

This data set contains sensitive biological resource data for diving birds, gulls, terns, passerines, raptors, shorebirds, wading birds, and waterfowl in Lake Ontario. Vector polygons in this data set represent bird nesting, migratory staging, wintering sites, and other concentration 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 Lake Ontario.

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, animals/vertebrates, aquatic ecosystems, biological classification, biosphere, birds, 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, sensitivity maps, shorelines, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Refugio Marine Mammal Survey (June 3, 2015)

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 the break site into the Pacific Ocean and spread across the marine environment. NOAA and our state and federal partners are investigating these impacts and will determine the amount of restoration needed to return the environment to the condition it was in before the spill and to compensate the public for environmental degradation from the time of the spill until recovery.

This layer depicts National Marine Fisheries surveys conducted during the Refugio beach oil spill. This data represents point locations where various marine life were observed in proximity to the Refugio Beach Oil Spill exposure areas.

Tags: california, continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, hazards management, hazards mitigation, human dimensions, national ocean service, noaa, north america, office of response and restoration, oil spills, refugio beach oil spill, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_St_Lawrence_River_2021 ESI T_MAMMAL Polygons

This feature class resides within the BIOLOGY Feature Data Set of the St Lawrence River - 2021 ESI Geodatabase.  Vector polygons represent sensitive biological resource data for terrestrial mammals in the St. Lawrence River.

The study area includes the St. Lawrence River from the headwaters of Lake Ontario, northeast to the western portion of L'Ile-Saint-Regis Island (CA). This data set contains sensitive biological resource data for threatened and endangered bats in the St. Lawrence River. 

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 St. Lawrence River.

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, animals/vertebrates, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, great lakes, great lakes - st.lawrence river esi, human dimensions, mammals, national ocean service, new york, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, st lawrence river, t mammal, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Refugio Marine Mammal Survey Trackline (June 4, 2015)

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 the break site into the Pacific Ocean and spread across the marine environment. NOAA and our state and federal partners are investigating these impacts and will determine the amount of restoration needed to return the environment to the condition it was in before the spill and to compensate the public for environmental degradation from the time of the spill until recovery.

This layer is the GPS track-line of a boat that was used to conduct marine mammal surveys and their possible interaction with oil from the Refugio Beach Oil Spill.

Tags: california, continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, hazards management, hazards mitigation, human dimensions, national ocean service, noaa, north america, office of response and restoration, oil spills, refugio beach oil spill, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM NOAA Ship Trackline 2016-11-16

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
Lake Michigan: PARKS/MANAGED AREAS (Polygons)

This data set contains human-use or management resource data for National Forests, Management Areas, Marine Sanctuaries, Nature Conservancy Lands, National Parks, State Parks, and National Wildlife Refuges in Lake Michigan.  Vector polygons in this data set represent park or managed area features.  Location specific type 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 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, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, great lakes - lake michigan esi, lake michigan, managed, 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
Outer Coast of Washington and Oregon 2014 ESI MARINE MAMMAL Polygons

This data set contains sensitive biological resource data for seals, whales, porpoises, dolphins, sea otters, and sea lions for the Outer Coast of Washington and Oregon.  Vector polygons in this data set represent marine mammal distributions, concentration areas, migratory routes, haul-out sites, and rookeries. 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 Outer Coast of Washington and Oregon.  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: 2014, animals/vertebrates, biological classification, carnivores, cetaceans, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, human dimensions, mammals, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, oregon, outer coast of washington and oregon, seals/sea lions/walruses, 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: HYDRO (Polygons, Lines)

The HYDROL data set contains vector lines and the HYDROP dataset contains vector polygons, both representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Lake Michigan.  

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, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, great lakes - lake michigan esi, hydrography, 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
Portland Harbor Phase 3 Subyearling Chinook 2018 Field Observations

The Upper Willamette River (UWR) Chinook salmon Ecologically Significant Unit (ESU) includes naturally spawned Chinook salmon originating from the Clackamas River and from the Willamette River and its tributaries above Willamette Falls, as well as Chinook salmon from six artificial propagation programs. UWR Chinook salmon migrate through highly industrialized Portland Harbor (an active Superfund site) in the lower Willamette River, despite historical contamination. Juvenile salmon may be especially vulnerable to toxicant exposures.

Tags: animals/vertebrates, biological classification, chinook salmon, continent, doc/noaa/nos/orr, earth science, earth science services, field observations, field surveys, fish, hazards management, hazards mitigation, national ocean service, noaa, north america, office of response and restoration, portland harbor, ray-finned fishes, salmons/trouts, u.s. department of commerce, united states of america, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM FT 2017-04-25 IR run 1

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
MC20 Oil On Water Sampling Track 2018-04-28

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
Outer Coast of Washington and Oregon 2014 ESI PARKS-MANAGED AREAS Polygons

This data set contains vector polygons depicting boundaries for management areas, marine sanctuaries, nature conservancies, National Estuarine Research Reserves (NERRs), national parks, state and regional parks, and wildlife refuges found on 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, Lines, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Points, Lines; and NATURAL HAZARD Polygons.

Tags: 2014, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, human use resources, 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, recreational activities/areas, resource management, sensitivity maps, social behavior, u.s. department of commerce, united states of america, washington, washington and oregon - outer coasts
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Chesapeake Bay and the Outer Coasts of Maryland and Virginia 2016 ESI BIRDS Polygons, Points

This data set contains sensitive biological resource data for wading birds, shorebirds, waterfowl, raptors, diving birds, seabirds, passerine birds, and gulls and terns in Chesapeake Bay and the Outer Coasts of Maryland and Virginia. 
 Vector polygons (BIRD POLYS) in this data set represent bird nesting, migratory staging, and wintering sites, general distributions, and concentration areas.  Vector points (BIRD POINTS) in this data set represent bird nesting and roosting sites.  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 Chesapeake Bay and the Outer Coasts of Maryland and Virginia.  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: 2016, animals/vertebrates, biological classification, birds, chesapeake bay and the outer coasts of maryland and virginia, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, human dimensions, maryland, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, u.s. department of commerce, united states of america, virginia, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Georgia 2015 ESI REPTILE & AMPHIBIAN Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Georgia - 2015 ESI Geodatabase. It contains sensitive biological resource data for sea turtles in Georgia.  Vector polygons in this data set represent sea turtle distribution and nesting 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 Georgia.  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/vertebrates, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, georgia, human dimensions, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, reptiles, sensitivity maps, turtles, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Louisiana and Lower Mississippi River 2014 ESI FISH Polygons

This data set contains sensitive biological resource data for marine, estuarine, anadromous, and freshwater fish species in coastal Louisiana and the lower Mississippi River.  Vector polygons in this data set represent fish distribution, concentration areas and nursery 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 Louisiana.  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: 2014, animals/vertebrates, atlantic ocean, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, fish, gulf of america, gulf of mexico, human dimensions, louisiana, louisiana and lower mississippi river, mississippi river, national ocean service, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, sensitivity maps, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce