AndreaBozzo/ceres-open-data-index huggingface dataset:
GOM FT 2017-08-16 UV run 4

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

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, fototerra, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Environmental Sensitivity Index (ESI) Data Viewer and Data Services for Atlases

ESI data characterize the marine and coastal environments and wildlife based on sensitivity to spilled oil. There are three main components: shoreline habitats, sensitive biological resources, and human-use resources. The shoreline and intertidal areas are ranked based on sensitivity determined by: (1) Shoreline type (substrate, grain size, tidal elevation, origin); (2) Exposure to wave and tidal energy; (3) Biological productivity and sensitivity; and (4) Ease of cleanup. The biology layers focus on threatened/endangered species, areas of high concentration, and areas where sensitive life stages may occur. Supporting data tables provide species-/location-specific abundance, seasonality, status, life history, and source information. Human-use resources mapped include managed areas (parks, refuges, critical habitats, etc.) and resources that may be impacted by oiling and/or cleanup (beaches, archaeological sites, marinas, etc.). ESIs are available for the majority of the US coastline, as well as the US territories. ESI data are available in a variety of GIS formats, as well as PDF maps. For more information or to download complete ESI data sets, go to: https://response.restoration.noaa.gov/esi.

Tags: alabama esi, aleutian islands alaska esi, american samoa esi, american samoa shorelines, amphibians, and new jersey esi, benthic habitats, biodiversity and ecosystems theme, birds, 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, environmental monitoring, environmental sensitivity index, environmental sensitivity index (esi), environmental vulnerability index (evi), faults, fish, florida esi, geology, georgia esi, geothermal activity, great lakes esi, guam and northern mariana islands esi, habitats, hawaii esi, hudson river esi, hydrography, invertebrates, kodiak alaska esi, louisiana esi, maine evi, marine mammals, maryland esi, massachusetts esi, mississippi esi, national geospatial data asset, national ocean service, national wetlands inventory (nwi), nests, new hampshire esi, new jersey, new york, ngda, ngdaid2, noaa, north carolina esi, north slope alaska esi, north slope alaska summary maps esi, northern california esi, northwest arctic alaska esi, office of response and restoration, oil spill planning, oil spill response, pennsylvania esi, prince william sound alaska esi, puerto rico esi, puerto rico shorelines, reptiles, rhode island, saltponds, san francisco bay california esi, sensitivity maps, shorelines, socioeconomic resources, south carolina esi, southeast alaska esi, southern california esi, staging points, terrestrial mammals, texas upper coast esi, u.s. department of commerce, u.s. exclusive economic zone, u.s. shorelines, virgin islands esi, virginia esi, volcanoes, washington puget sound esi, western alaska esi, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM Sorbent Pad 20170815

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
GOM WM RS2 SAR TCNNA 2016-11-17 (w/ UAVSAR 005)

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 11-16-2016 6000 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 OI 2017-04-25 Oil Class 6000 - 13005 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
East Florida 2020 ESI POLITICAL/JURISDICTIONAL 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
GOM OI Imagery 2016-11-16 RGB Run 1 - 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
Refugio Wildlife Overflight Sea Otter Survey - 28May15

On May 19, 2015, a pipeline owned ruptured in Santa Barbara County, California, near Refugio State Beach. An estimated 21,000 gallons of the oil flowed overland from the break site into the Pacific Ocean and spread across the marine environment. NOAA and our state and federal partners are investigating these impacts and will determine the amount of restoration needed to return the environment to the condition it was in before the spill and to compensate the public for environmental degradation from the time of the spill until recovery.

This layer represents sea otter observations in the Refugio Beach Oil Spill area on May 28th, 2015.

Tags: california, continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, hazards management, hazards mitigation, human dimensions, national ocean service, noaa, north america, office of response and restoration, oil spills, refugio beach oil spill, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_Mackinac 2019 ESI T_MAMMAL 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 T_MAMMAL data for the Great Lakes - Straits of Mackinac study area.  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 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 Great Lakes - Straits of Mackinac study area.

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

Tags: 2019, animals/vertebrates, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, great lakes, great lakes - straits of mackinac esi, human dimensions, lake huron, lake michigan, mammals, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, straits of mackinac, t_mammal, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Southwest Peninsular Florida 2016 ESI REPTILE & AMPHIBIAN Polygons

This data set contains sensitive biological resource data for turtles, snakes, alligators, and crocodiles in Southwest Florida.  Vector polygons in this data set represent herpetofauna distribution and nesting areas. 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.

Tags: 2016, animals/vertebrates, atlantic ocean, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, florida, gulf of america, gulf of mexico, herpetofauna, human dimensions, national ocean service, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, reptiles, sensitivity maps, southwest peninsular florida, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM Oil On Water Sampling Photos Cam2 2016-11-16

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 FT 2017-08-16 VIS 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
GL_StClair_Detroit_River 2019 ESI INVERT Polygons, Lines

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 and lines representing INVERT data for the Great Lakes - 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 sensitive biological resource data for freshwater and terrestrial invertebrate species. Vector polygons and lines in these data sets represent invertebrate 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 Great Lakes - 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/invertebrates, 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, invert, 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, sensitivity maps, st. clair river, st. clair-detroit river system, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce