AndreaBozzo/ceres-open-data-index huggingface dataset:
GL_StClair_Detroit_River 2019 ESI BIRD Polygons, Points

This feature class resides within the BIOLOGY Feature Data Set of the Great Lakes - St. Clair / Detroit River System - 2019 ESI Geodatabase.  It contains vector polygons representing BIRD 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 sensitive biological resource data for wading birds, shorebirds, waterfowl, raptors, diving birds, seabirds, passerine birds, and gulls and terns.  Vector polygons and points in these data sets represent bird nesting, migratory staging, and wintering sites.

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/vertebrates, biological classification, birds, canada, coastal resources, coastal zone management, continent, detroit river, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, great lakes, great lakes - st.clair / detroit river system esi, human dimensions, lake erie, lake huron, lake st. clair, 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
Long Island Sound 2016 NAV_MARINE POINTS LINES POLYS

These feature classes reside within the SOCECON Feature Data Set of the Long Island Sound 2016 ESI Geodatabase.  They contain vector points, lines, and polygons representing Navigation / Marine 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.    

Navigation/Marine features represented as points include Access Sites (A2), Boat Ramps (BR), Ferry Terminals (F), Lock and Dam (LD), Marinas (M), and Ports (P).  Features represented as lines include Ferry Routes (FR), and State Boundaries (ST).  Features represented as polygons include Anchorages (AN).

Each ArcGIS each feature class (NAVIGATION/MARINE POINTS, NAVIGATION/MARINE LINES, NAVIGATION/MARINE POLYS) 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 provided in other feature class themes within the SOCECON Feature Data Set, including SOCECON (POINTS and LINES), 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, marine navigation, 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 08-17-18

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
Georgia 2015 ESI RESOURCE MANAGEMENT Polygons, Points

This data set contains vector polygons depicting boundaries for artificial reefs, commercial fishing, critical habitats, and fishery areas; and vector points depicting locations of artificial reefs, fishery areas, recreational fishing, repeated measurement sites, and water intakes, in Georgia.

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 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, environmental impacts, environmental monitoring, esi, georgia, 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, resource management, sensitivity maps, 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 FISH Polygons, Lines

This data set contains sensitive biological resource data for marine, estuarine, anadromous, and freshwater fish species in Chesapeake Bay and the Outer Coasts of Maryland and Virginia.  Vector polygons in this data set represent fish distribution, concentration areas, spawning areas, nursery areas, and migration 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 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 FISHL data layer, part of the larger Chesapeake Bay and the Outer Coasts of Maryland and Virginia ESI database, for additional fish information.

Tags: 2016, animals/vertebrates, biological classification, chesapeake bay and the outer coasts of maryland and virginia, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, fish, human dimensions, maryland, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, u.s. department of commerce, united states of america, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Crime in the United States

An annual publication in which the FBI compiles the volume and rate of violent and property crime offenses for the nation and by state. Individual law enforcement agency data are also provided for those contributors supplying 12 months of complete offense data.

Tags: aggravated-assault, arrests, arson, assault, auto-theft, burglary, counties, crime-rates, crime-reporting, crime-statistics, drug-abuse, embezzlement, fraud, gambling, larceny, law-enforcement, murder, nibrs, offenses, rape, robbery, sex-offenses, srs, uniform-crime-reporting-program
Organization: Department of Justice
GOM FT 2017-04-25 IR run 5

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 2017-08-16 VIS 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
MC20 Oil On Water Sampling Photos 2018-08-17

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
NY/NJ Metro Area, Hudson River, and South Long Island 2016 ESI NAVIGATION_MARINE Lines, Points

This data set contains vector lines depicting shipping lanes; and vector points  depicting access sites, anchorages, boat ramps, diving sites, ferries, lock and dam sites, marinas, and ports in the New York/New Jersey Metro Area, Hudson River, and South Long Island regions.

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 NY/NJ Metro Area, Hudson River, and South Long Island Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

Tags: atlantic ocean, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, hudson river, human dimensions, human use resources, infrastructure, national ocean service, navigation, new york, noaa, north america, north atlantic ocean, ny_nj_hudsonriver_s_li 2016, ocean, office of response and restoration, oil spill planning, oil spills, political/jurisdictional, sensitivity maps, shipping lanes, socioeconomic resources, south long island, transportation, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Refugio Marine Mammal Survey (June 6, 2015)

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

This layer depicts National Marine Fisheries surveys conducted during the Refugio beach oil spill. This data represents point locations where various marine life were observed in proximity to the Refugio Beach Oil Spill exposure areas.

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 Sorbent Pad 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
GOM FT 2017-08-16 POLYGON

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 2017-08-16 IR 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
Lake Michigan: BENTHIC (Polygons)

This data set contains sensitive biological resource data for submerged aquatic vegetation (SAV) in Lake Michigan.  Vector polygons in this data set represent SAV. 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 Lake Michigan.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2025, benthic, biota, coastal resources, coastal zone management, doc/noaa/nos/orr, environment, environmental monitoring, esi, great lakes - lake michigan esi, lake michigan, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce