AndreaBozzo/ceres-open-data-index huggingface dataset:
Outer Coast of Washington and Oregon 2014 ESI INVERTEBRATE Polygons

This data set contains sensitive biological resource data for marine, estuarine, and terrestrial invertebrate species for the Outer Coast of Washington and Oregon.  Vector polygons in this data set represent invertebrate distribution and concentration 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/invertebrates, arthropods, biological classification, coastal resources, coastal zone management, continent, crustaceans, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, hexapods, human dimensions, insects, mollusks, 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_ONTARIO_2023 ESI Polygons, Lines

The feature classes ESIL and ESIP contain vector lines and polygons representing shorelines and intertidal habitats of Lake Ontario 2023 ESI Geodatabase, classified by their susceptibility to oiling. The  Environmental Sensitivity Index (ESI) classification system, developed by NOAA, considers several natural and biological factors including relative exposure to wave and tidal energy, shoreline slope, substrate type and biological productivity and sensitivity.

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, 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
GL_St_Lawrence_River_2021 ESI HABITATS Polygons

This feature class resides within the BIOLOGY Feature Data Set of the St Lawrence River - 2021 ESI Geodatabase.  It contains vector polygons representing HABITAT data for the Great Lakes St Lawrence River.

The study area includes the St. Lawrence River from the headwaters of Lake Ontario, northeast to the western portion of L'Ile-Saint-Regis Island (CA). This data set contains sensitive biological resource data for threatened and endangered plants in the St. Lawrence River. 

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. Lawrence River.

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: 2021, 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 - st.lawrence river esi, habitat, human dimensions, national ocean service, new york, noaa, north america, office of response and restoration, oil spill planning, oil spills, plants, sensitivity maps, st lawrence river, u.s. department of commerce, united states of america, vegetation
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_StClair_Detroit_River 2019 ESI HABITATS Polygons

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 HABITATS 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.  This data set contains sensitive biological resource data for threatened and endangered plants. Vector polygons in this data set represent threatened and endangered plant distributions.

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, biological classification, biosphere, 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, habitat, 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, plants, sensitivity maps, st. clair river, st. clair-detroit river system, u.s. department of commerce, united states of america, vegetation
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_StClair_Detroit_River 2019 ESI FISH Polygons, Lines, 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 FISH 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 freshwater fish species. Vector polygons, lines, and points in these data sets represent fish distribution, concentration areas, and 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 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, canada, coastal resources, coastal zone management, continent, detroit river, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, fish, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
MC20 Oil On Water Sampling Photos 2018-04-29

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
2014 Mobile County, AL Lidar

Atlantic was contracted to acquire high resolution topographic LiDAR (Light Detection and Ranging) data
located in Mobile County, Alabama. The intent was to collect one (1) Area of Interest (AOI) that
encompasses Mobile County. The total client defined AOI was 1,402 square miles or 3,361
square kilometers. The data were collected from January 12 - 22, 2014. Classifications of data available from NOAA OCM are: 1 (Unclassified, 2 (Ground), 3 (Low Vegetation), 7 (Low Noise), 8 (Model Key Points), 9 (Water), 10 (Ignored Ground, Breakline Proximity). Low vegetation points were removed as they were incorrect and not required for delivery.

Digital Elevation Models (DEMs) created from this lidar data are available for download. They are available at: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5169 . Breaklines are available at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4966/supplemental/breaklines

Original contact information: 
   Contact Name: Scott Kearney
   Contact Org: City of Mobile
   Phone: (251) 208-7942
   Email: kearney@cityofmobile.org

Tags: 20140112, 20140122, alabama, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, land surface, lidar, mobile county, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Georgia 2015 ESI MARINE MAMMAL Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Georgia - 2015 ESI Geodatabase.  It contains sensitive biological resource data for whales, dolphins, and manatees in Georgia.  Vector polygons in this data set represent marine mammal 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 Georgia.  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, cetaceans, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, dugongs/manatees, earth science, environmental impacts, environmental monitoring, esi, georgia, human dimensions, mammals, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Southwest Florida 2016 ESIP (Environmental Sensitivity Index Shoreline Types - Polygons)

This data set contains vector polygons representing the shoreline and coastal habitats of Southwest Florida classified according to the Environmental Sensitivity Index (ESI) classification system.  This data set comprises a portion of the ESI data for Southwest Florida.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.  See also the ESIL data layer, part of the larger Southwest Florida ESI database, for additional ESI information.

Tags: 2016, aquatic ecosystems, atlantic ocean, biosphere, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, esi, florida, gulf of america, gulf of mexico, human dimensions, intertidal habitats, national ocean service, noaa, north america, north atlantic ocean, ocean, oceans, office of response and restoration, oil spill planning, oil spills, sensitivity maps, shorelines, southwest peninsular florida, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Outer Coast of Washington and Oregon 2014 ESI REPTILES & AMPHIBIAN Polygons

This data set contains sensitive biological resource data for Leatherback sea turtles for the Outer Coast of Washington and Oregon.  Vector polygons in this data set represent turtle distributions and seasonality. 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, 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, reptiles, sensitivity maps, turtles, u.s. department of commerce, united states of america, washington, washington and oregon - outer coasts
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
East Florida 2020 ESI SOCECON Polygons, Lines, Points

This data set contains sensitive biological resource data for seagrass, coral reef, hard-bottom communities, and deep-sea coral for East Florida. Vector polygons in this data set represent seagrass, coral, and hard-bottom community distribution. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Florida. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. Environmental Sensitivity Index (ESI) is more properly known as 'Sensitivity of Coastal Habitats and Wildlife to Spilled Oil' Atlases. The term 'ESI' is often used in reference to the whole dataset, but the term 'ESI' is really a reference to the classification system of shoreline types known as Environmental Sensitivity Index, that classifies a shoreline on a scale from 1 to 10 based upon overall sensitivity to spilled oil. FWRI contracted out updates for the East Florida ESI area of interest, with the exception of Human Use data, in 2019. These datasets were delivered as feature classes in overlapping-polygon format following the NOAA ESI Data Standard. The East Florida ESI data format is consistent with the previously delivered ESI data.

Tags: 2020, atlantic ocean, benthic, biosphere, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, east florida, east florida esi, ecosystems, environmental impacts, environmental monitoring, environmental sensitivity index, esi, florida, gulf of america, gulf of mexico, human dimensions, marine ecosystems, national ocean service, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, sensitivity maps, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GOM FT 2017-08-16 UV 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
Louisiana and Lower Mississippi River 2014 ESI REPTILE & AMPHIBIAN Polygons

This data set contains sensitive biological resource data for sea turtles, diamondback terrapin, and American alligator in coastal Louisiana, and for riverine turtles and American alligator in the Lower Mississippi River.  Vector polygons in this data set represent reptile 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 Louisiana.  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, alligators/crocodiles, animals/vertebrates, atlantic ocean, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, gulf of america, gulf of mexico, human dimensions, louisiana, louisiana and lower mississippi river, mississippi river, national ocean service, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, reptiles, sensitivity maps, turtles, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
South Carolina 2015 ESI NAVIGATION_MARINE Polygons, Points, Lines

This data set contains vector polygons depicting anchorages; vector points depicting access, boat ramp, lock and dam, marine, port, and river mile locations; and vector lines depicting locations of shipping lanes in South Carolina. 

As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The entirety of the South Carolina ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Polygons, Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

Tags: 2015, atlantic ocean, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, human dimensions, human use resources, infrastructure, national ocean service, noaa, north america, north atlantic ocean, ocean, office of response and restoration, oil spill planning, oil spills, sensitivity maps, socioeconomic, south carolina, transportation, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce