AndreaBozzo/ceres-open-data-index huggingface dataset:
GOM FT 2017-08-16 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
Refugio Intertidal Habitat Exposure Zones with Max Oiling - Exposure (Updated 2018)

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 is composed of a series of polygons that represent a derived inter-tidal zone and is divided by the level of oil exposure into zones of High, Medium A, Medium B, and Low.  This was determined by data and information collected to support the Refugio Beach Oil Spill NRDA.

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 FT 2016-11-17 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
Chesapeake Bay and the Outer Coasts of Maryland and Virginia 2016 HYDRO Lines

This data set contains vector lines 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 HYDROP 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 Trajectory 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 the trajectory of oil from the Refugio Beach Oil Spill.

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 FT 2017-04-25 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 OI Imagery 2016-11-14 RGB

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
GL_LAKE_ONTARIO 2023 ESI BENTHIC Polygons

This feature class resides within the BIOLOGY Feature Data Set of the Lake Ontario 2023 ESI Geodatabase.  It contains vector polygons representing BENTHIC data for Lake Ontario.

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.

This data set contains sensitive biological resource data for submerged aquatic vegetation (SAV). Vector polygons in this dataset represent SAV distribution.

Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer.  This data set comprises a portion of the ESI data for Lake Ontario.  

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: 2023, aquatic ecosystems, benthic, 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, marine ecosystems, 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
Lake Michigan: POLITICAL/JURISDICTIONAL (Polygons, Points, Lines)

The POLITICAL_POINT data set contains human-use or management resource data for coast guard units in Lake Michigan.  The POLITICAL_POLY data set contains human-use or management resource data for tribal land boundaries in Lake Michigan. The POLITICAL_LINE data set contains human-use or management resource data for tribal land boundary lines and state borders in Lake Michigan.  

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.

These data sets comprise 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, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, great lakes - lake michigan esi, lake michigan, national ocean service, noaa, office of response and restoration, oil spill planning, political, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Cultural Ecosystem Services in Estuary Stewardship and Management - NERRS/NSC(NERRS Science Collaborative)

Conducted in partnership with the He'eia and Kachemak Bay Reserves, this project worked to advance the equitable representation of cultural ecosystem services in estuary stewardship by providing practical information and opportunities for facilitated exchange.

Tags: ak nerr, cultural ecosystem services, doc/noaa/nos/ocm, heã¢ââeia, hi nerr, kachemak bay, national ocean service, nerrs, noaa, office of coastal management, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1999 Post Hurricane Floyd NOAA/USGS/NASA  Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected September 18, 1999 following Hurricane Floyd landfall in North Carolina. The
data covers the coastline starting in South Carolina and extended slightly into Virginia.
Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground
elevation and coastal topography. The laser emits laser beams at high frequency and is directed downward at the
earth's surface through a port opening in the bottom of the aircraft's fuselage. The laser system records the
time difference between emission of the laser beam and the reception of the reflected laser signal in the
aircraft. The aircraft travels over the beach at approximately 60 meters per second while surveying from
the low water line to the landward base of the sand dunes.

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: bathymetry/seafloor topography, beach, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, national ocean service, noaa, north america, north carolina, oceans, office of coastal management, seafloor topography, south carolina, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Puerto Rico

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr.
      
This metadata record describes the Puerto Rico digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM data includes Puerto Rico, Vieques, Culebra, and Isla de Mona.
      
The DEM was produced from the following lidar data sets:
      1. 2018 USGS Lidar DEM: Post Hurricane Maria - Puerto Rico
      2. 2016 - 2017 USGS Lidar DEM: Puerto Rico
      
The DEM is referenced vertically to the Puerto Rico Vertical Datum of 2002 (PRVD02, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83 2011). The resolution of the DEM is approximately 3 meters.

Tags: atlantic ocean, bathymetry/topography, caribbean sea, coastal processes, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, land surface, lidar, national ocean service, noaa, north atlantic ocean, ocean, office of coastal management, puerto rico, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2022 NOAA OCM Topobathy Lidar DEM: Washington Island, WI

These data were collected by Dewberry using a CZMIL Super Nova system.  The data were acquired from 20220719 through 20220816. The data are rasterized topobathy lidar elevations at a 1 m grid spacing. This dataset consists of approximately 219 square miles of data along the shores of Green Bay and contains 2,630 500 m x 500 m GeoTiff files.

In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from are also available from the NOAA Digital Coast. A link to these data are provided in the URL section of this metadata record.

Tags: airplane, bathymetry, bathymetry/seafloor topography, coastal bathymetry, coastal elevation, coastal processes, continent, dems, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, great lakes, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Georgia, North

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr.
      
      This metadata record describes the Georgia North digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Chatham, Effingham, Bryan, Liberty, Long and Mcintosh Counties.
      
      The DEM was produced from the following lidar data sets:
      1. USGS 2018 Statewide GA Lidar 

      
      The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Tags: bathymetry/topography, bryan county, chatham county, coastal elevation, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, effingham county, elevation, flooding, georgia, inundation, land surface, liberty county, lidar, light detection and ranging, long county, mcintosh county, national ocean service, noaa, north america, oceans, office of coastal management, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 US B.O.R. Lidar: Klamath River, CA

Watershed Sciences, Inc. (WS)  collected Light Detection and Ranging (LiDAR) data of the Klamath River and associated riparian zones from Klamath Falls, Oregon to Happy Camp, California for Woolpert, Inc. Acquisition of the data occurred between February 27th and March 15th, 2010. The total deliverable area, including a 100 m buffer, is 107,547 acres. 
The LiDAR survey uses a Leica ALS60 laser system. For the Klamath River survey area, the sensor was set to yield an average native pulse density of > 8 points per square meter over terrestrial surfaces. Up to 4 range measurements are possible per pulse, and all discernible laser returns were processed for the output dataset. 
OCM received 1,039 LAZ files from the Oregon Lidar Consortium. The files were in California State Plane zone 1 projected coordinate system, NAD83 (HARN) and geoid09. No metadata came with this dataset; information in this record is derived from the accompanying project report, which is linked below. Additionally, bare-earth DEMs produced from this dataset are available for download, and are linked in the Related Items section below.

Tags: airplane, continent, doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, office of coastal management, oregon, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce