AndreaBozzo/ceres-open-data-index huggingface dataset:
East Florida 2020 ESI INVERT Polygons, Lines

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
GOM FT 2016-11-14 UV run 1

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
South Carolina 2015 ESI RESOURCE_MANAGEMENT Polygons, Points

This data set contains vector polygons depicting commercial and recreational fishing areas, and critical and essential habitats. It contains vector points representing locations of artificial reefs, repeated measurement sites, and water intakes 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, aquaculture production, atlantic ocean, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, economic resources, eearth science, environmental impacts, environmental monitoring, esi, human dimensions, human use resources, mariculture production, 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
GOM WM RS2 SAR TCNNA 2016-11-15 Morning

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 SOCECON 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 Socioeconomic human-use 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: POINTS-  abandoned vessels, airports, archaeological sites, campgrounds, epa facilities, heliports, historical sites, and renewable energy sites; POLYGONS- beaches and campgrounds; POLYLINES- pipelines, railroads, and roads.

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, cultural features, detroit river, doc/noaa/nos/orr, earth science, economic resources, energy production/use, environmental impacts, 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, oil spills, ontario, pipelines, sensitivity maps, socioeconomic resources, st. clair river, st. clair-detroit river system, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM Dip Plate 20170816

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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_LAKE_ONTARIO_2023 ESI INVERT Polygons

These feature classes reside within the BIOLOGY Feature Data Set of the Lake Ontario 2023 ESI Geodatabase. This data set contains sensitive biological resource data for freshwater mussels and state listed insects in Lake Ontario. Vector polygons in this data set represent freshwater mussel and state listed insect distribution and concentration areas. 

The study area includes the United States portion of Lake Ontario, covering the islands in New York: Association Island, Bass Island, Calf Island, Carl Island, Cherry Island, Eagle Island, Fox Island, Galloo Islands, Grenadier Island, Horse Island, Hoveys Island, Six Point Town, and Stony Island. Major Lake Ontario bays mapped include: Black River Bay, Blind Sodus Bay, Braddock Bay, Chaumont Bay, Guffin Bay, Irondequoit Bay, Henderson Bay, Little Sodus Bay, Mexico Bay, Port Bay, Sawyer Bay, and Sodus Bay.

Species-specific abundance, seasonality, status, life history, and source information are stored in 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 Lake Ontario.

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

Tags: 2023, animals/invertebrates, aquatic ecosystems, biological classification, biosphere, coastal landforms, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, environmental sensitivity index, esi, geomorphic landforms/processes, great lakes, great lakes - lake ontario esi, human dimensions, lake ontario, land surface, national ocean service, new york, noaa, north america, oceans, office of response and restoration, oil spill planning, oil spills, sensitivity maps, shorelines, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM Oil On Water Sampling Track 2017-08-16

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

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM WM 2016-11-17 0004

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

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location, water mapping
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM TRACS 11-15-2016 1000 feet

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 2017-04-25 UV 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 Additional Forensic Matches

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.

As a supplement to previous, independent chemical fingerprinting studies, this collaborative study was undertaken to identify the sources of crude oil comprising 22 oil/oily samples collected shortly (one to 14 days) following the May 19, 2015 Refugio Beach oil spill (RBOS) and determine the character of
seven natural seep oils.  This layer represents the locations of matches to line 901 oil found within the study.

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 FT 2016-11-14 IR 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
Southwest Peninsular Florida 2016 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 Southwest Florida.  Vector polygons in this data set represent bird nesting, migratory staging, wintering sites, and vulnerable occurrences. Vector points represent bird nesting sites.  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 Southwest 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.  See also the BIRDSPT data layer, part of the larger Southwest Florida ESI database, for additional bird information.

Tags: 2016, animals/vertebrates, atlantic ocean, biological classification, birds, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, florida, gulf of america, gulf of mexico, human dimensions, national ocean service, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, sensitivity maps, southwest peninsular florida, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce