AndreaBozzo/ceres-open-data-index huggingface dataset:
GL_Mackinac 2019 ESI Polygons, Lines

The feature classes ESIL and ESIP contain vector lines and polygons representing shorelines and intertidal habitats of Great Lakes - Straits of Mackinac study area, classified by their susceptibility to oiling. The  Environmental Sensitivity Index (ESI) classification system, developed by NOAA, considers several natural and biological factors including relative exposure to wave and tidal energy, shoreline slope, substrate type and biological productivity and sensitivity.

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 includes information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2019, aquatic ecosystems, biosphere, coastal landforms, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, esi, geomorphic landforms/processes, great lakes, great lakes - straits of mackinac esi, human dimensions, intertidal habitats, 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, shorelines, straits of mackinac, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_Mackinac 2019 ESI HABITATS Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Great Lakes - Straits of Mackinac - 2019 ESI Geodatabase.  It contains vector polygons representing HABITATS 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. This data set contains sensitive biological resource data for threatened and endangered plants. Vector polygons in this data set represent threatened and endangered plant 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 - 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, biological classification, biosphere, 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, habitat, human dimensions, lake huron, lake michigan, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, plants, sensitivity maps, straits of mackinac, u.s. department of commerce, united states of america, vegetation
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM FT 2017-08-16 FLIGHT PATH

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 NOAA Ship Trackline 2016-11-15

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
East Florida 2020 ESI T_MAMMAL 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
MC20 USCG CGC Brant NAIS Points 12-18-2018

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
GL_St_Lawrence_River_2021 ESI PARKS/MANAGED AREAS Polygons

These feature classes reside within the SOCECON Feature Data Set of the Great Lakes St. Lawrence River - 2021 ESI Geodatabase.  They contain vector polygons representing Parks/Managed area human-use resource data for the Great Lakes St. Lawrence River System and adjacent lands and waters. 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).

These data sets contain human-use or management resource data for management areas, Nature Conservancy properties, and state parks in the St. Lawrence 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. 

This data set is a portion of the ESI data for Great Lakes St. Lawrence 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, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, great lakes, great lakes - st.lawrence river esi, human dimensions, human use resources, national ocean service, new york, noaa, north america, office of response and restoration, oil spill planning, oil spills, recreational activities/areas, sensitivity maps, social behavior, socioeconomic resources, st. lawrence river, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM OI - TOS Oil Classification 2017-04-25

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
Lake Michigan: ESI (Polygons, Lines)

The ESIL data set contains vector lines representing the ESI classified shoreline of Lake Michigan and the ESIP data set contains vector polygons representing the coastal habitats of Lake Michigan, both classified according to the Environmental Sensitivity Index (ESI) classification system.

These data sets comprise a portion of the ESI data for Lake Michigan.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2025, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, great lakes - lake michigan esi, lake michigan, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM TRACS 2016-11-14 1000' Oil Class

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
Refugio Shoreline Oiling Categories

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 the maximum categorical shoreline oiling observed throughout the impact area of the Refugio Beach Oil Spill.  Survey teams conducted daily oiling surveys and observations.  This layer represents a compilation of the maximum oil observed at any point in time during the spill for a specific segment of shoreline.  The surveys are conducted using the Shoreline Cleanup and Assessment Technique (SCAT).

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
South Carolina 2015 ESI BIRD Polygons, Points

This data set contains sensitive biological resource data for wading birds, shorebirds, waterfowl, raptors, diving birds, seabirds, passerine birds, and gulls and terns in South Carolina.  Vector polygons in this data set represent bird nesting, migratory staging, and wintering sites. Vector points in this data set represent known sites of high concentrations of nesting seaside sparrow. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for South Carolina.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.  See also the BIRDSPT data layer, part of the larger South Carolina ESI database, for additional bird information.

Tags: 2015, animals/vertebrates, biological classification, birds, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, south carolina, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM WM OST 20170817

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
GL_StClair_Detroit_River 2019 ESI T_MAMMAL 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 T_MAMMAL 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 bats, river otter, beaver, muskrat, and Canada lynx. Vector polygons in this data set represent terrestrial mammal 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 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, 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, human dimensions, lake erie, lake huron, lake st. clair, mammals, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, ontario, sensitivity maps, st. clair river, st. clair-detroit river system, t_mammal, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce