AndreaBozzo/ceres-open-data-index huggingface dataset:
Refugio GNOME NRDA Shoreline Oiling May 21

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 a NOAA GNOME modeled hindcast of particles of oil reaching the affected area shoreline.

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 TRACS 2016-11-17 PM 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
GOM TRACS 11-17-2016 Afternoon 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 Dip Plate 20170425

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_StClair_Detroit_River 2019 ESI NATURAL HAZARD Polygons

This feature class resides within the SOCECON Feature Data Set of the Great Lakes - St. Clair / Detroit River System 2019 ESI geodatabase.  It contains vector polygons representing natural hazard areas for 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 information about the following resource: POLYGONS- flood hazard areas mapped as storm surge inundation areas.

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

This data set contains vector polygons representing the coastal habitats of Chesapeake Bay and the Outer Coasts of Maryland and Virginia classified according to the Environmental Sensitivity Index (ESI) classification system.  This data set comprises a portion of the ESI data for Chesapeake Bay and the Outer Coasts of Maryland and Virginia.  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 ESIL data layer, part of the larger Chesapeake Bay and the Outer Coasts of Maryland and Virginia ESI database, for additional ESI information.

Tags: 2016, aquatic ecosystems, biosphere, chesapeake bay and the outer coasts of maryland and virginia, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, esi, human dimensions, intertidal habitats, maryland, national ocean service, 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, virginia, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Outer Coast of Washington and Oregon 2014 ESI FISH Polygons, Lines

This data set contains sensitive biological resource data for marine, estuarine, anadromous, diadromous, and freshwater fish species for the Outer Coast of Washington and Oregon.  Vector polygons in this data set represent fish distributions, concentrations areas, spawning areas, and migratory corridors.  Vector lines in this data set represent fish distributions and anadromous rearing and spawning 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 Outer Coast of Washington and Oregon.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2014, animals/vertebrates, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, fish, human dimensions, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, oregon, outer coast of washington and oregon, sensitivity maps, u.s. department of commerce, united states of america, washington, washington and oregon - outer coasts
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_LAKE_ERIE_2022 ESI FISH Polygons, Points

These feature classes reside within the BIOLOGY Feature Data Set of the Lake Erie - 2022 ESI Geodatabase.  It contains vector polygons and points representing FISH data for Lake Erie.

The study area includes the United States portion of Lake Erie, covering the coastal portions of Ohio, Pennsylvania, and New York from the Michigan/Ohio border to the west to the New York/Canada border to the east. These data sets contain sensitive biological resource data for freshwater fish species in Lake Erie.  Vector polygons in this data set represent fish distribution, concentration areas, and spawning areas. Vector points in this data set represent fish spawning areas.

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 Erie.

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

Tags: 2022, animals/vertebrates, 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, fish, 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, sensitivity maps, shorelines, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
South Carolina 2015 ESI FISH Polygons

This data set contains sensitive biological resource data for marine, estuarine, anadromous, and freshwater fish species in South Carolina.  Vector polygons in this data set represent fish distribution, spawning and nursery areas, concentration areas, and anadromous fish runs. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for 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.

Tags: 2015, animals/vertebrates, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, fish, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Alaska Department of Natural Resources North Slope Rehabilitation Assessment Study Area

Alaska Department of Natural Resources contacted ABR.Inc to produce a vegetation rehabilitation decision making tool for land managers on Alaska's North Slope. This polygon shows the border of the area included. The area included in this polygon includes as many areas as possible in the North Slope borough that are managed by National Park Service, State of Alaska (DNR), and US Fish and Wildlife Service (USFWS).

Tags: alaska, general-human-use-contaminants, general-management-landscape-management-habitat-scale, general-management-landscape-management-land-use-planning, general-management-landscape-management-landscape-conservation-planning, north-slope, vegetation-rehabilitation
Organization: Department of the Interior
GOM OI 2017-04-25 RGB 6000 - 130052 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
MC20 Oil On Water Sampling Photos 2018-04-28

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 SAB - WV Oil Delineation 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, office of response and restoration, oil spills, ospo satellite analysis branch, 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
Massachusetts and Rhode Island 2016 BENTHICPT (Benthic Points)

This data set contains sensitive biological resource data for macroalgae in Massachusetts. Vector points in this data set represent macroalgae vegetation beds. Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described below) designed to be used in conjunction with this spatial data layer.  This data set is a portion of the ESI data for Massachusetts and Rhode Island. 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. See also the BENTHIC (Benthic Polygons) data layer for additional benthic information.

Tags: 2016, benthicpt, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, massachusetts, massachusetts and rhode island, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, rhode island, sensitivity maps, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_LAKE_ONTARIO_2023 ESI HYDRO Polygons, Lines

The feature classes HYDROL and HYDROP contain vector lines and polygons representing the coastal shoreline and hydrography used in the creation of the Environmental Sensitivity Index (ESI) of the Lake Ontario 2023 ESI Geodatabase, classified by their susceptibility to oiling. The HYDROP (hydrography polygons) layer delineates the shoreline, and identifies areas as either Land or Water. The HYDROL (hydrography lines) layer depicts one continuous linear shoreline.

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.

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: 2023, 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 ontario esi, human dimensions, hydrography, 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
ATF Office Locations

The Bureau of Alcohol, Tobacco, Firearms and Explosives (ATF) has locations in several field divisions across the continental United States and several territories. Each field division has several field and satellite offices that cover one or several states. Each office houses staff with specialized expertise to help you address questions or concerns regarding violent crime, federal firearms licensing and regulation, federal explosives licensing and investigation and arson investigations.

Feel free to also look for locations on the ATF official webpage as well - https://www.atf.gov/contact/local-atf-offices

Tags: atf, office
Organization: Department of Justice