AndreaBozzo/ceres-open-data-index huggingface dataset:
Delaware / New Jersey / Pennsylvania 2014 ESI HABITATS Polygons

This data set contains sensitive biological resource data for terrestrial and wetland plants and sensitive plant communities in Delaware/New Jersey/Pennsylvania.  Vector polygons in this data set represent rare and endangered plant and plant community distributions. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Delaware/New Jersey/Pennsylvania.  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 BENTHIC data layer, part of the larger Delaware/New Jersey/Pennsylvania ESI database, for additional habitat information.

Tags: 2014, and pennsylvania), biological classification, biosphere, coastal resources, coastal zone management, continent, delaware, delaware bay, delaware bay (delaware, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, habitat, human dimensions, national ocean service, new jersey, noaa, north america, office of response and restoration, oil spill planning, oil spills, pennsylvania, plants, sensitivity maps, u.s. department of commerce, united states of america, vegetation
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Chesapeake Bay and the Outer Coasts of Maryland and Virginia 2016 HYDRO Polygons

This data set contains vector polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Chesapeake Bay and the Outer Coasts of Maryland and Virginia.  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 HYDROL data layer, part of the larger Chesapeake Bay and the Outer Coasts of Maryland and Virginia ESI database, for additional ESI information.

Tags: 2016, chesapeake bay and the outer coasts of maryland and virginia, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Refugio GNOME NRDA Shoreline Oiling May 25

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
2017 NOAA NGS Topobathy Lidar DEM: Dog Island, FL

These data were collected by NOAA using a Riegl VQ880G sensor.  The data were acquired from April 14, 2017 through April 16, 2017.  The data includes topobathy data in LAS 1.2 format classified as created, unclassified (1); ground (2); topographic noise (7); bathymetric noise (22); water column (25); bathymetric bottom (26); water surface (27);  in accordance with project specifications.  The project consists of approximately 35 square miles of data along the shores of Dog Island.  This dataset contains 616 500 m x 500 m lidar tiles.

Tags: airplane, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, sea floor, seafloor topography, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Southwest Peninsular Florida 2016 ESI RESOURCE MANAGEMENT Polygons, Points

This data set contains vector polygons representing critical habitats, and vector points representing aquaculture, artificial reefs, recreational fishing, and water intake sites in Southwest Peninsular Florida. Location specific type and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. 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.

This data set comprises a portion of the ESI data for Southwest Peninsular Florida. The entirety of the ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons; NAVIGATION-MARINE Points; POLITICAL-JURISDICTIONAL Polygons, Lines, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Lines, Points; and NATURAL HAZARD Polygons.

Tags: 2016, aquaculture production, atlantic ocean, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, economic resources, environmental impacts, environmental monitoring, esi, florida, gulf of america, gulf of mexico, human dimensions, human use resources, management areas, mariculture production, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM OI 2017-04-25 Oil Class 6000 - 131550 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
GOM Sorbent Pad 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
GOM FT 2017-04-25 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
Long Island Sound 2016 SOCECON

These feature classes reside within the SOCECON Feature Data Set of the Long Island Sound 2016 ESI Geodatabase. They contain vector points and lines representing Socio-economic human-use resource data for Long Island Sound and adjacent lands and waters.  The study area includes Long Island Sound, Peconic Bay, tributary watersheds, tidal tributaries, and freshwater streams and lakes, in New York and Connecticut. 

Features represented as points include  Airports (A), Archaeological Sites (AS), Abandoned Vessels (AV), Beaches (B), Campgrounds (C), Environmental Protection Agency (EPA) Risk Management Plan (RMP) Facilities (EPAF), Heliports, Historical Sites (HS), Historic Wrecks (HWR), Landfills (LF), NOAA facilities (NOAA), and Waste Disposal Sites (WD).  Features represented as lines include Rail Routes (RR).

Each ArcGIS each feature class (SOCECON POINTS, SOCECON LINES) has an attribute table, considered as an Entity or "Child Item" in this metadata record. 
 Location-specific Type and Source information are stored in these related data tables, SOC_DAT and SOURCES (described below), which are stand-alone tables within the Geodatabase.

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

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

Tags: 2016, atlantic ocean, coastal resources, coastal zone management, connecticut, connecticut river, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, gardiners bay, human dimensions, human use resources, long island, long island sound, national ocean service, new york, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, peconic bay, sensitivity maps, socioeconomic resources, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
MC20 USCG CGC Brant NAIS Track Line 08-15-18

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 OI 2017-04-25 RGB 6000 V2 - 125207 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
GOM FT 2016-11-17 IR run 2

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 FT 2016-11-14 THICKNESS MAP

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 Dip Plate 20161114

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
Outer Coast of Washington and Oregon 2014 ESI BENTHIC Polygons

This data set contains sensitive biological resource data for marine and estuarine submerged aquatic vegetation (SAV), and deep sea corals for the Outer Coast of Washington and Oregon.  Vector polygons in this data set represent eelgrass, surfgrass, macroalgae, coral, and kelp distributions. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Outer Coast of Washington and Oregon.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2014, benthic, biosphere, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, environmental sensitivity index, esi, human dimensions, marine ecosystems, 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