AndreaBozzo/ceres-open-data-index huggingface dataset:
GOM OI 2017-04-25 TIR 6000 V1 - 125207 UTC

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, ocean imaging, 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
Chesapeake Bay and the Outer Coasts of Maryland and Virginia 2016 ESI TERRESTRIAL MAMMAL Polygons

This data set contains sensitive biological resource data for rare, threatened, and endangered terrestrial mammal species in Chesapeake Bay and the Outer Coasts of Maryland and Virginia.  Vector polygons in this data set represent terrestrial mammal 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 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, chesapeake bay, 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, esi, human dimensions, mammals, maryland, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, outer coasts of maryland and virginia, sensitivity maps, u.s. department of commerce, united states of america, virginia, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM Oil On Water Sampling Photos 2017-08-17 (DOJ)

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
Massachusetts and Rhode Island 2016 BENTHIC (Benthic Polygons)

This data set contains sensitive biological resource data for benthic species in Massachusetts and Rhode Island. Vector polygons in this data set represent a few different species of submerged aquatic vegetation (SAV) and macroalgae. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described below) designed to be used in conjunction with this spatial data layer. This data set is a portion of the ESI data for Massachusetts and Rhode Island. 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. See also the BENTHICPT (Benthic Points) data layer for additional benthic information.

Tags: 2016, benthic, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, massachusetts, massachusetts and rhode island, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, rhode island, sensitivity maps, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_LAKE_ERIE_2022 GLRI_UNIQUE_SITES Points

This feature class is housed within the Lake Erie - 2022 ESI Geodatabase but is maintained outside of the traditional NOAA ESI Structure.  Vector points in this data set represent unique restoration sites managed by the Great Lakes Restoration Initiative (GLRI). An abbreviated spreadsheet for the GLRI restoration sites is provided on page xviii of the Lake Erie 2022 atlas introductory pages. For full GLRI project information, please refer to the spreadsheet available at https://www.glri.us/projects. 

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.

Tags: 2022, aquatic ecosystems, biosphere, coastal landforms, coastal processes, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, geomorphic landforms/processes, great lakes, great lakes - lake erie esi, habitat conversion/fragmentation, human dimensions, land surface, landscape, national ocean service, new york, noaa, north america, oceans, office of response and restoration, ohio, oil spills, pennsylvania, reclamation/revegetation/restoration, shorelines, u.s. department of commerce, united states of america, vegetation, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Refugio GNOME NRDA Shoreline Oiling May 20

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 represents a NOAA GNOME modeled hindcast of particles of oil reaching the affected area shoreline.

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 Oil On Water Sampling Photos Cam1 2016-11-17

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
East Florida 2020 ESI BENTHIC Polygons

This data set contains sensitive biological resource data for seagrass, coral reef, hard-bottom communities, and deep-sea coral for East Florida. Vector polygons in this data set represent seagrass, coral, and hard-bottom community 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. Environmental Sensitivity Index (ESI) is more properly known as 'Sensitivity of Coastal Habitats and Wildlife to Spilled Oil' Atlases. The term 'ESI' is often used in reference to the whole dataset, but the term 'ESI' is really a reference to the classification system of shoreline types known as Environmental Sensitivity Index, that classifies a shoreline on a scale from 1 to 10 based upon overall sensitivity to spilled oil. FWRI contracted out updates for the East Florida ESI area of interest, with the exception of Human Use data, in 2019. These datasets were delivered as feature classes in overlapping-polygon format following the NOAA ESI Data Standard. The East Florida ESI data format is consistent with the previously delivered ESI data.

Tags: 2020, atlantic ocean, benthic, biosphere, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, east florida, east florida esi, ecosystems, environmental impacts, environmental monitoring, environmental sensitivity index, esi, florida, gulf of america, gulf of mexico, human dimensions, marine ecosystems, 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
Refugio Wildlife Observations - 21 May 2015 @ 1400 hours (Flight 2)

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 represents wildlife observations in the Refugio Beach Oil Spill area on May 21st, 2015.

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_Mackinac 2019 ESI BIRD Polygons, 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 and points representing BIRD 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 wading birds, shorebirds, waterfowl, raptors, diving birds, seabirds, passerine birds, and gulls and terns.  Vector polygons and points in these data sets represent bird nesting, migratory staging, and wintering sites.

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, birds, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, 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
Louisiana and Lower Mississippi River 2014 ESI SOCECON Points

This data set contains vector points representing airports, archaeological sites, beaches, facilities, heliports and platforms 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, cultural features, doc/noaa/nos/orr, earth science, economic resources, energy production/use, environmental impacts, environmental monitoring, esi, gulf of america, gulf of mexico, human dimensions, human use resources, infrastructure, 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, sensitivity maps, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM FT 2017-08-16 IR run 4

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
GOM OI 2017-04-25 Oil Class V1 6000 - 125207 UTC

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, ocean imaging, 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_St_Marys_River_2021 ESI HERP Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Great Lakes St. Marys River - 2021 ESI Geodatabase. Vector polygons represent sensitive biological resource data for herpetofauna in the St. Marys River.  

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 sensitive biological resource data for vulnerable herpetofauna in the St. Marys 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. 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, amphibians, 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.marys river esi, herp, human dimensions, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, reptiles, sensitivity maps, st. marys river, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Chesapeake Bay and the Outer Coasts of Maryland and Virginia 2016 ESI INVERTEBRATE Polygons, Points

This data set contains sensitive biological resource data for marine, estuarine, and freshwater invertebrate species, as well as terrestrial insects in Chesapeake Bay and the Outer Coasts of Maryland and Virginia.  Vector polygons in this data set represent invertebrate distribution and concentration areas.  Vector points in this data set represent invertebrate occurrences. 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/invertebrates, arthropods, biological classification, chesapeake bay, chesapeake bay and the outer coasts of maryland and virginia, coastal resources, coastal zone management, continent, crustaceans, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, hexapods, human dimensions, insects, maryland, mollusks, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, outer coasts of maryland and virginia, sensitivity maps, u.s. department of commerce, united states of america, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce