AndreaBozzo/ceres-open-data-index huggingface dataset:
GL_LAKE_ONTARIO_2023 ESI HERP Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Lake Ontario 2023 ESI Geodatabase. This data set contains sensitive biological resource data for state-listed, special concern, and rare terrestrial/aquatic reptiles in Lake Ontario.  Vector polygons in this data set represent state-listed, special concern, and rare terrestrial/aquatic reptile distribution and nesting areas. 

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.

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 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, amphibians, animals/vertebrates, aquatic ecosystems, biological classification, biosphere, 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, reptiles, sensitivity maps, shorelines, turtles, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Georgia 2015 ESI BENTHIC Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Georgia - 2015 ESI Geodatabase.  It contains sensitive biological resource data for hard bottom habitat in Georgia.  Vector polygons in this data set represent sparsely and densely colonized hard bottom 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 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, benthic, biosphere, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, esi, georgia, human dimensions, marine ecosystems, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
South Carolina 2015 ESI POLITICAL_JURISDICTIONAL Polygons, Points

This data set contains vector polygons depicting boundaries for the Army Corp of Engineers, Coast Guard, county, EPA, FEMA, tribal lands and state waters; vector points are used to depict locations of Coast Guard installations in South Carolina. 

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 South Carolina ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Polygons, Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

Tags: 2015, administrative divisions, atlantic ocean, boundaries, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, human use resources, manged areas, national ocean service, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, political boundaries, sensitivity maps, socioeconomic, south carolina, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Lake Michigan: RESOURCE (Polygons, Points)

The RESOURCE_POINT data set contains human-use or management resource data for aquaculture sites, artificial reef locations, recreational fishing sites, and water intakes in Lake Michigan.  The RESOURCE_POLY data set contains data for Designated Critical Habitat and essential habitats in Lake Michigan.

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, national ocean service, noaa, office of response and restoration, oil spill planning, resource, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Canadian Ice Breaker, Sir Wilfred Laurier Cruise - Imagery

NOAA's Office of Response and Restoration lead a multi-agency research team including the Coastal Response Research Center (CRRC), students from the University of New Hampshire (UNH) and scientists from the Bureau of Safety and Environmental Enforcement (BSEE), the Environmental Protection Agency (EPA), and the United States Coast Guard (USCG) designed experiments to evaluate the capabilities of various technologies such as multispectral and thermal sensors, to characterize oil in ice environments. This information is used to help responders understand the particular strengths of different technologies to characterize oil in broken ice environments.

This project involved 2 separate experiments which were conducted on near the shore of the Beaufort Sea in Alaska at the DOE testing facility at Oliktok Point and at the Kuparuk River between May 31st and June 6th and aboard the Canadian Coast Guard Cutter Sir Wilfrid Laurier between July 25th - 28th, 2022.  The findings of these studies will be used to support spill response and assessment activities in open water ice environments throughout the navigable waters of the US.

Tags: alaska, arctic, doc/noaa/nos/orr, earth science, incidents, marine environment monitoring, national ocean service, national oceanic atmospheric administration, noaa, oceans, office of response and restoration, oil, oil spill, sea ice, u.s. department of commerce, uscg research development center oil in ice (rdc)
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Refugio Incident Fisheries Closure - OPENED - 29-Jun-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.

CALIFORNIA DEPARTMENT OF FISH AND WILDLIFE
DECLARATION OF FISHERIES CLOSURE
DUE TO A PUBLIC HEALTH THREAT
CAUSED BY AN OIL SPILL AFFECTING MARINE WATERS
Pursuant to Fish and Game Code 5654

This layer reflects the fishery closure boundaries established by the California Department of Fish and Wildlife (CDFW) for 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
GL_StClair_Detroit_River 2019 ESI HERP Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Great Lakes - St. Clair / Detroit River System - 2019 ESI Geodatabase. It contains vector polygons representing HERP data for the St. Clair / Detroit River System in southeastern Michigan.

The study area includes a small portion of southern Lake Huron at its outlet, the St. Clair River (which flows out of Lake Huron), Lake St. Clair, the Detroit River (which flows into Lake Erie), a small portion of western Lake Erie, and adjacent lands and waters.  This data set contains sensitive biological resource data for reptiles and amphibians. Vector polygons in this data set represent reptile and amphibian distributions.

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. Clair / Detroit 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: 2019, amphibians, animals/vertebrates, biological classification, canada, coastal resources, coastal zone management, continent, detroit river, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, great lakes, great lakes - st.clair / detroit river system esi, herp, human dimensions, lake erie, lake huron, lake st. clair, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, ontario, reptiles, sensitivity maps, st. clair river, st. clair-detroit river system, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_St_Marys_River_2021 ESI POLITICAL/JURISDICTIONAL Polygons, Lines, Points

These feature classes reside within the SOCECON Feature Data Set of the Great Lakes St. Marys River - 2021 ESI Geodatabase.  They contain vector polygons, lines, and points representing Political 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.

These data sets contain information about the following resources: Tribal lands, the international boundary, and coast guard stations 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. 

These data sets are 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, administrative divisions, boundaries, 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, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, socioeconomic resources, st. marys river, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM WM OST 20161114

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, 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, water mapping
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM Oil On Water Sampling Photos Cam1 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
Delaware / New Jersey / Pennsylvania 2014 ESI REPTILES Polygons

This data set contains sensitive biological resource data for sea turtles and estuarine turtles and endangered/rare reptiles and amphibians in Delaware Bay and nearby areas of Delaware, New Jersey, and Pennsylvania.  Vector polygons in this data set represent reptile and amphibian occurrence and distribution 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 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.

Tags: 2014, amphibians, and pennsylvania), animals/vertebrates, biological classification, coastal resources, coastal zone management, continent, delaware, delaware bay, delaware bay (delaware, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, human dimensions, national ocean service, new jersey, noaa, north america, office of response and restoration, oil spill planning, oil spills, pennsylvania, reptiles, sensitivity maps, turtles, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Louisiana and Lower Mississippi River 2014 ESI PARKS-MANAGED AREAS Polygons

This data set contains human-use data detailing designated management areas, including National Park Service properties, National Wildlife Refuges, state wildlife managed areas and reserves, state parks, and Nature Conservancy properties found in in coastal Louisiana and the lower Mississippi river.  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. 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.

This data set comprises a portion of the ESI data for Louisiana and the lower Mississippi River. The entirety of the ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons; POLITICAL-JURISDICTIONAL Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Points.

Tags: 2014, atlantic ocean, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, gulf of america, gulf of mexico, human dimensions, human use resources, louisiana, louisiana and lower mississippi river, management areas, mississippi river, national ocean service, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, recreational activities/areas, sensitivity maps, social behavior, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_Mackinac 2019 ESI HYDRO Polygons, Lines

The feature classes HYDROL and HYDROP contain vector lines and polygons representing the coastal shoreline and hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Great Lakes - Straits of Mackinac study area.  The HYDROP (hydrography polygons) layer delineates the shoreline, and identifies areas as either Land or Water.  The HYDROL (hydrography lines) layer includes features that are not captured in the HYDROP data layer, such as breakwaters, fenders, groins, jetties, and piers.

The study area includes the Straits of Mackinac, nearby portions of Lake Michigan and Lake Huron, and adjacent lands and waters in northern Michigan.

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, coastal landforms, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, geomorphic landforms/processes, great lakes, great lakes - straits of mackinac esi, human dimensions, hydrography, lake huron, lake michigan, land surface, michigan, national ocean service, noaa, north america, oceans, office of response and restoration, oil spill planning, oil spills, sensitivity maps, shoreline, shorelines, straits of mackinac, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Georgia 2015 ESI HABITAT Polygons

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 endangered, threatened, and rare plants in Georgia.  Vector polygons in this data set represent state-listed endangered, threatened, and rare plants 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 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, biological classification, biosphere, 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, plants, sensitivity maps, u.s. department of commerce, united states of america, vegetation
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM Oil On Water Sampling Photos 2017-08-16

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