AndreaBozzo/ceres-open-data-index huggingface dataset:
GL_St_Marys_River_2021 ESI INVERT Lines

This feature class resides within the BIOLOGY Feature Data Set of the Great Lakes St. Marys River - 2021 ESI Geodatabase. Vector lines represent sensitive biological resource data for invertebrates 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 freshwater mussels 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, animals/invertebrates, 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, human dimensions, invert, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, st. marys river, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_St_Lawrence_River_2021 ESI BIRDS Polygons, Points

These feature classes reside within the BIOLOGY Feature Data Set of the St Lawrence River - 2021 ESI Geodatabase.  It contains vector polygons and points representing BIRDS data for the Great Lakes 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 wading birds, shorebirds, waterfowl, raptors, diving birds, passerine birds, and gulls and terns 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/invertebrates, biological classification, bird, 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 - st.lawrence river esi, human dimensions, national ocean service, new york, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, st lawrence river, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM OI - Flight Trackline 2017-04-26

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 HABITAT Polygons

This data set contains sensitive biological resource data for terrestrial and wetland plant species for the Outer Coast of Washington and Oregon.  Vector polygons in this data set represent state and federally, rare, threatened, and endangered plant species 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 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, biological classification, biosphere, 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, plants, sensitivity maps, u.s. department of commerce, united states of america, vegetation, washington, washington and oregon - outer coasts
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Louisiana and Lower Mississippi River 2014 ESI MARINE MAMMAL Polygons

This data set contains sensitive biological resource data for dolphins, manatees, and whales in Louisiana.  Vector polygons in this data set represent marine mammal distribution. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for 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, cetaceans, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, dugongs/manatees, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, gulf of america, gulf of mexico, human dimensions, louisiana, louisiana and lower mississippi river, mammals, 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
Chesapeake Bay and the Outer Coasts of Maryland and Virginia 2016 NATURAL HAZARD Polygons

This feature class resides within the SOCECON Feature Data Set of the Chesapeake Bay and Outer Coasts of Maryland and Virginia 2016 ESI geodatabase.  It contains vector polygons representing Natural Hazard human-use resource data for Chesapeake Bay and adjacent waters and lands in the study area.   The study area includes Chesapeake Bay and all tidal tributaries in Maryland, Virginia, and DC; coastal embayments and marine waters offshore of Virginia and Maryland, and adjacent land areas.

The vector polygons represent predicted flood inundation in the event of a Category 1, 2, 3, or 4 storm. For each storm category, the level of flooding is binned into anticipated depth of flood waters: <= 3 feet, > 3 feet, > 6, and > 9 feet.  These are modeled data, based on the National Hurricane Centerâs Sea, Lake and Overland Surges from Hurricanes (SLOSH) model (https://www.nhc.noaa.gov/surge/slosh.php). Raster model data, prepared in 2015, was converted to vector polygons for the purpose of the ESI. These data should be used for planning purposes only.

The ArcGIS feature class (NATURAL HAZARD POLYS) has 2 associated attribute tables, considered as Entities or "Child Items" in this metadata record.    Location-specific Type and Source information are stored in these related data tables, SOC_DAT and SOURCES (described below), which are stand-alone tables within the Geodatabase. 

This data set is a portion of the ESI data for Chesapeake Bay and Outer Coasts of Maryland and Virginia - 2016. 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. 

Additional human-use information is provided in other feature class themes within the SOCECON Feature Data Set, including NAVIGATION/MARINE (POINTS, LINES, and POLYGONS), PARKS/MANAGED AREA (POINTS and POLYGONS), POLITICAL/JURISDICTIONAL (POINTS and POLYGONS), RESOURCE MANAGEMENT (POINTS and POLYGONS), and SOCECON (POINTS AND POLYGONS).

Tags: 2016, chesapeake bay and the outer coasts of maryland and virginia, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, flood inundation, human dimensions, maryland, national ocean service, noaa, north america, oceans, office of response and restoration, oil spill planning, oil spills, sensitivity maps, storm surge, u.s. department of commerce, united states of america, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM OI Imagery 2016-11-17 RGB 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
GOM FT 2017-08-16 IR run 5

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
Georgia 2015 ESI NAVIGATION-MARINE Polygons, Lines, Points

This data set contains vector polygons representing boundaries of anchorages; vector lines showing shipping lanes; and vector points representing beach access points, boat ramps, marinas, ports, and river miles, in Georgia.

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; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

Tags: 2015, atlantic ocean, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, georgia, human dimensions, human use resources, infrastructure, national ocean service, navigation/marine, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, sensitivity maps, socioeconomic, transportation, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Southwest Florida 2016 NATURAL HAZARD Polygons

This feature class resides within the SOCECON Feature Data Set of the Southwest Florida 2016 ESI geodatabase.  It contains vector polygons representing Natural Hazard human-use resource data for marine and estuarine waters of Southwest Florida and adjacent lands and waters. 

The vector polygons represent predicted flood inundation in the event of a Category 1, 2, 3, 4, or 5 storm. For each storm category, the level of flooding is binned into anticipated depth of flood waters: <= 3 feet, > 3 feet, > 6, and > 9 feet.  These are modeled data, based on the National Hurricane Centerâs Sea, Lake and Overland Surges from Hurricanes (SLOSH) model (https://www.nhc.noaa.gov/surge/slosh.php). Raster model data, prepared in 2015, was converted to vector polygons for the purpose of the ESI. These data should be used for planning purposes only.

The ArcGIS feature class (NATURAL HAZARD POLYS) has 2 associated attribute tables, considered as Entities or "Child Items" in this metadata record.    Location-specific Type and Source information are stored in these related data tables, SOC_DAT and SOURCES (described below), which are stand-alone tables within the Geodatabase. 

This data set is a portion of the ESI data for Southwest Florida - 2016. 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. 

Additional human-use information is provided in other feature class themes within the SOCECON Feature Data Set, including NAVIGATION/MARINE (POINTS, LINES, and POLYGONS), PARKS/MANAGED AREA (POINTS and POLYGONS), POLITICAL/JURISDICTIONAL (POINTS and POLYGONS), RESOURCE MANAGEMENT (POINTS and POLYGONS), and SOCECON (POINTS AND POLYGONS).

Tags: 2016, atlantic ocean, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, flood inundation, florida, gulf of america, gulf of mexico, human dimensions, human use resources, national ocean service, natural hazards, noaa, north america, north atlantic ocean, ocean, oceans, office of response and restoration, oil spill planning, oil spills, sensitivity maps, socioeconomic resources, southwest peninsular florida, storm surge, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Delaware Bay 2014 ESI MANAGEMENT Polygons

This data set contains vector polygons representing management boundaries for: artifical reefs, management areas, The Nature Conservancy (TNC) lands, parks, and National Wildlife Refuges in Delaware/New Jersey/Pennsylvania.  

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: SOCECON Lines, Points, and MGT Polygons.

Tags: 2014, and pennsylvania), atlantic ocean, coastal resources, coastal zone management, continent, delaware bay, delaware bay (delaware, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, human use resources, management areas, national ocean service, new jersey, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, pennsylvania, 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
GOM FT 2016-11-17 VIS run 3

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

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, fototerra, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Refugio Marine Mammal Survey (June 2, 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_LAKE_ERIE_2022 ESI PARKS/MANAGED AREAS Polygons

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

This data set contains human-use resource data for management areas (wildlife management areas, nature sanctuaries, fish hatcheries, nature preserves, wild and scenic rivers, and hunting areas) nature conservancy lands, national parks, state parks, and wildlife refuges in Lake Erie.  

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

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

Tags: 2022, aquatic ecosystems, biosphere, coastal landforms, coastal processes, coastal resources, coastal zone management, continent, 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, national ocean service, new york, noaa, north america, oceans, office of response and restoration, ohio, oil spill planning, oil spills, pennsylvania, recreational activities/areas, sensitivity maps, shorelines, social behavior, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce