AndreaBozzo/ceres-open-data-index huggingface dataset:
GOM OI 2017-04-25 RGB 1000 - 131550 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
Outer Coast of Washington and Oregon 2014 ESI BIRD Polygons, Lines, Points

This data set contains sensitive biological resource data for alcids, diving birds, gulls and terns, passerine birds, pelagic birds, raptors, shorebirds, wading birds, and waterfowl for the Outer Coast of Washington and Oregon.  Vector polygons in this data set represent birds nesting, migratory staging, wintering sites, and general use areas.  Vector lines in this data set represent nesting, roosting, and/or wintering sites.  Vector 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 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, birds, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, human dimensions, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, oregon, outer coast of washington and oregon, 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
GOM OI Imagery 2016-11-17 TIR PM - 6000'

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_StClair_Detroit_River 2019 ESI NAVIGATION/MARINE Polygons, Lines, Points

These feature classes reside within the SOCECON Feature Data Set of the Great Lakes -  St. Clair / Detroit River System 2019 ESI geodatabase.  They contain vector polygons, lines and points representing  navigation/marine area resource 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.  

These data sets contain information about the following resources: POLYLINES - ferry routes; POINTS-  boat ramps, ferries, lock and dams, marinas, and ports; POLYGONS- access sites and anchorages.

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 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, canada, coastal resources, coastal zone management, continent, detroit river, doc/noaa/nos/orr, earth science, environmental monitoring, esi, great lakes, great lakes - st.clair / detroit river system esi, human dimensions, human use resources, infrastructure, lake erie, lake huron, lake st. clair, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, ontario, sensitivity maps, socioeconomic resources, st. clair river, st. clair-detroit river system, transportation, 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 HABITAT Polygons

This data set contains sensitive biological resource data for Sargassum in Louisiana.  Vector polygons in this data set represent areas of known Sargassum aggregation. 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.  See also the BENTHIC data layer, part of the larger Louisiana ESI database, for additional habitat information.

Tags: 2014, atlantic ocean, biological classification, brown algae, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, gulf of america, gulf of mexico, human dimensions, louisiana, louisiana and lower mississippi river, macroalgae (seaweeds), mississippi river, national ocean service, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, plants, sensitivity maps, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM MC-20 SPOT Tracker Locations 2017-08-15

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
National Enironmental Sensitivity Index Shoreline: GULF/ATLANTIC ESI, PACIFIC ESI, GREAT LAKES: ESIL

The Gulf/Atlantic ESIL data set contains vector lines representing the shoreline and coastal habitats of the contiguous Atlantic and Gulf states; the Pacific ESI represents the shoreline for the contiguous Pacific coast states; the Great Lakes ESI represents the shoreline for contiguous states bordering the Great Lakes. Line segments are classified according to the Environmental Sensitivity Index (ESI) classification system.  These data are a complilation of the ESIL data from the most recent ESI atlas publications. 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 national dataset contains only the ESIL shoreline data layer.

Tags: alabama esi, aleutian islands alaska esi, american samoa, american samoa esi, and new jersey esi, bristol bay alaska esi, central california esi, coastal resources, coastal zone management, columbia river esi, connecticut, cook inlet alaska esi, delaware, doc/noaa/nos/orr, envionmental monitoring, environmental sensitivity index, esi, esi atlas, esi maps, esi national shoreline, florida esi, georgia esi, golfo de fonseca (honduras and nicaragua), great lakes esi, guam and northern mariana islands esi, hawaii esi, hudson river esi, hydrography, kodiak alaska esi, lake erie esi, lake michigan esi, lake ontario esi, louisiana esi, maine evi, maryland esi, massachusetts esi, mississippi esi, national ocean service, new hampshire esi, new jersey, new york, noaa, north carolina esi, north slope alaska esi, north slope alaska summary maps esi, northern california esi, northwest arctic alaska esi, oceancommunity, office of response and restoration, oil spill planning, pennsylvania esi, prince william sound alaska esi, puerto rican shoreline, puerto rico esi, rhode island, san francisco bay california esi, sensitivity maps, south carolina esi, southeast alaska esi, southern california esi, st. clair/detroit river system esi, st. lawrence river esi, st. marys river esi, straits of mackinac esi, texas upper coast esi, u.s. department of commerce, u.s. exclusive economic zone, u.s. shorelines, virgin islands esi, virginia esi, washington puget sound esi, western alaska esi, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM OI Imagery 2016-11-16 TIR Runs 2,3,4 - 1000'

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
Georgia 2015 ESI FISH Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Georgia - 2015 ESI Geodatabase.  It contains sensitive biological resource data for marine, estuarine, anadromous, and freshwater fish species in Georgia.  Vector polygons in this data set represent fish distribution, concentration areas, and anadromous fish runs. 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, fish, georgia, human dimensions, 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 SOCECON Polygons, Points, Lines

This data set contains vector polygons depicting renewable energy sites; vector points representing locations of abandoned vessels, airports, beaches, EPA facilities, heliports, historical sites, NOAA facilities, renewable energy sites, wash overs and waste disposal sites; and vector lines showing locations of rail routes 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, 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, human dimensions, human use resources, infrastructure, national ocean service, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, sensitivity maps, socioeconomic, south carolina, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_LAKE_ERIE_2022 ESI BENTHIC Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Lake Erie - 2022 ESI Geodatabase.  It contains vector polygons representing BENTHIC data for Lake Erie.

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. This data set contains sensitive biological resource data for submerged aquatic vegetation (SAV). Vector polygons in this dataset represent SAV distribution.

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 comprises a portion of the ESI data for Lake Erie.  

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, benthic, 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 erie esi, human dimensions, lake erie, land surface, marine ecosystems, 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
Deepwater Horizon Restoration, Louisiana Outer Coast Restoration Vegetation Analysis for the Caillou Lake Headland Restoration - 2019, 2022 ID 35

Restoration of beach, dune, and back-barrier marsh habitats at the Caillou Lake Headlands location occurred on Whiskey Island, a barrier island in the Isle Dernieres reach of the Terrebonne Basin barrier system. The project was federally authorized under the Water Resources Development Act of 2007 and selected as a preferred alternative in the Terrebonne Basin Barrier Shoreline Restoration (TBBSR) Integrated Feasibility Study and Final Environmental Impact Statement (United States Corps of Engineers (USACE) 2010)), and included in the 2012 Louisiana's Comprehensive Master Plan for a Sustainable Coast. The restoration used approximately 10.5 million cubic yards of sand/sediment to restore 954 acres beach, dune, and marsh. NOAA is the lead Trustee for the design and construction of this project component, working cooperatively with Louisiana and the DOI.

Tags: aquatic ecosystems, biosphere, continent, deepwater horizon restoration, deepwater horizon restoration projects, doc/noaa/nos/orr, dominant species, earth science, ecosystems, emergent vegetation cover, environmental assessments, environmental governance/management, environmental impacts, field observations, gulf of america, human dimensions, louisiana, marine sediments, marshes, national ocean service, nearshore birds, noaa, north america, oceans, office of response and restoration, oil spills, percent cover, pollution, sediment chemistry, u.s. department of commerce, united states of america, vegetation analysis, vegetation type, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Chesapeake Bay 2016 ESI PARKS/MANAGED AREAS Polygons, Points

This data set contains vector polygons depicting locations of management areas, military installations, Nature Conservancy properties, National Estuarine Research Reserves (NERR), National parks, state parks, state protection areas, and wildlife refuges.  Vector points are used to represent National Guard units in Chesapeake Bay and the Outer Coasts of Maryland and Virginia. 

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 consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Polygons, Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points, Lines; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

Tags: 2016, atlantic ocean, 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, esi, human dimensions, human use resources, management areas, maryland, 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, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM FT 2016-11-17 POLYGON

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