AndreaBozzo/ceres-open-data-index huggingface dataset:
1998 Spring East Coast NOAA/USGS/NASA  Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected on April 3rd, 1998 in the the states of Maryland and Virgina along the
DelMarVa peninsula.
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, maryland, 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, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Baffin Bay 2004 Geodatabase

In 2006 and 2007 the NOAA Office for Coastal Management purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays.The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A and M University Center for Coastal Studies to develop benthic habitat data, primarily Submerged Aquatic Vegetation(SAV) for several coastal bays.  This data will support the state's recently adopted Seagrass Monitoring Program which calls for regional mapping of SAV for status and trends assessment.  The Center, Texas A and M, and TPWD have coordinated on the requirements of this project.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitat, biosphere, biotic component, cmecs, coastal, coastal and marine ecological classification standard, continent, digital map, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geoform component, habitat classification, marine ecosystems, national ocean service, noaa, north america, office of coastal management, seagrass, submerged aquatic vegetation, substrate component, texas, texas seagrass monitoring program, tx, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Maine West

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 Maine West 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 Cumberland, Kennebec, Knox, Lincoln, Sagadahoc, and York Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2017 Town of York, ME Lidar
      2. 2015 City of Portland, Maine Lidar
      3. 2013 USGS NRCS Maine Lidar
      4. 2012 Maine Statewide Lidar: Mid-Coastal Cleanup, ME (Areas 2 & 3)
      5. 2010 USGS ARRA Lidar for the Northeast: Maine
      6. 2008 NGA Augusta, ME Lidar
      7. 2006 FEMA Lidar: Coastal York and Cumberland Counties, Maine
      
The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) 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, coastal processes, continent, cumberland county, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, kennebec county, knox county, land surface, lidar, lincoln county, maine, national ocean service, noaa, north america, office of coastal management, sagadahoc county, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, york county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Game Changer: New England Climate Change Adaptation Project - NERRS/NSC(NERRS Science Collaborative)

With sea levels rising and severe storms happening more frequently, coastal communities are on the front lines of climate change. Planning for these impacts involves making complex, difficult decisions with limited resources. It also involves two things that make many of us uncomfortableâ uncertainty and compromise.

Tags: biosphere, climate adaptation, climate change, doc/noaa/nos/ocm, earth science, ecosystems, estuary, great bay, ma, marine ecosystems, me, narragansett bay, national ocean service, nerrs, nh, noaa, office of coastal management, ri, role-play simulation, sea level rise, storm, u.s. department of commerce, waquoit bay, wells
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Digital Orthophotography for the Coasts of Connecticut and Long Island, NY

Project: NOAA Digital Orthophotography for the Coasts of Main/New Hampshire, Massachusetts/Rhode Island/Connecticut, and Hudson River/Long Island /NY/NJ
Contract No. EA133C11CQ0010
Reference No. NCNP0000-14-00967
Woolpert Order No. 74571
CONTRACTOR: Woolpert, Inc.
The project represents the collection of digital orthoimagery for the coasts of Maine and New Hampshire; Massachusetts and Rhode Island; Connecticut, the Hudson River, Long Island and the NY/NJ metro area. The work was requested by the National Oceanic and Atmospheric Administration, Office of Response and Restoration division. The imagery is being acquired for use in the development of the ESI (Environmental Sensitivity Index) data in this same region. The entire project area includes approximately 11,669 square miles.
Original contact information: 
   Contact Org: National Oceanic and Atmospheric Administration (NOAA)
   Phone: 843-740-1200

Tags: aerial, airplane, cameras, coastal, connecticut, continent, digital orthophotography, doc/noaa/nos/ocm, earth science, imagery, infrared imagery, infrared wavelengths, maine, massachusetts, national ocean service, new hampshire, new jersey, new york, noaa, north america, office of coastal management, orthophoto, photograph, rectified image, rhode island, shoreline, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Delaware Bay, Delaware Benthic Habitats 2010 Biotic

The Coastal Program of Delaware's Division of Soil and Water conservation (DNREC), the University of Delaware, Partnership for the Delaware Estuary, and the New Jersey Department of Environmental Protection have partnered and are carrying out a bottom and sub-bottom imaging project to identify and map the benthic habitat and sub-bottom sediments of Delaware Bay and River.  This project was initiated to better understand the distribution of bottom sediment types, habitat biodiversity, and most importantly, human's impact on the bay bottom and its living resources.  The project integrates the use of three types of acoustical systems: Roxann Seabed classification system, chirp sub-bottom profiling, and multi-beam bathymetric mapping.  Verification of the acoustic data with bottom and sub-bottom sediments is performed through the collection of bra banc core samples and underwater video images.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitat, biosphere, biotic component, bottom sediments, cmecs, coastal, coastal and marine ecological classification standard, continent, delaware, delaware bay, delaware river, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, marine ecosystems, national ocean service, noaa, north america, office of coastal management, sav, sediment water interface, shellfish beds, state of delaware, state of new jersey, surface sediment mapping, u.s. department of commerce, united states of america, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Humboldt Bay, California Benthic Habitats 2009 Geodatabase

Humboldt Bay is the largest estuary in California north of San Francisco Bay and represents a significant resource for the
      north coast region.  Beginning in 2007 the Office for Coastal Management began collaborating with the California SeaGrant program and
      other local partners to support an ecosystem-based management (EBM) project for Humboldt Bay.  One element of this project was to
      develop subtidal habitat goals for the long-term management of the bay and provide a framework for conservation and management across
      the land-sea interface. The imagery collection and benthic habitat delineation for Humboldt Bay were essential to the development of
      subtidal goals and implementation of EBM for the region. Together, these efforts will provide important and replicable data and an
      information framework for ecosystem-based coastal and marine conservation planning and implementation. 12 Bit 4 Band imagery was
      collected in June,2009 within 1 hour of either side of a minus one (-1) foot tide with low turbidity,low wind,low sun angle and no cloud cover. The horizontal spatial accuracy of the imagery is within +/- 3 meters CE95 of position on the ground and was captured at a spatial resolution (pixel size) of 0.54m x 0.54m. The imagery was tiled and named according to the existing USGS digital ortho quarter quad boundaries (ex. Arcata_South_NE.tif). A small buffer (~100 m) was produced with each tile to prevent gaps in coverage. Habitat features were interpreted and digitized on screen in an ARCGIS Geodatabase 9.3 resulting in accurate and efficient 3D extraction of the data. Habitats were delineated with a high level of detail with the minimum mapping unit (MMU) being 0.01 hectares(approx.10m x 10m).
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: arcata bay, benthic, biosphere, biotic component, california, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, eel river delta, entrance bay, environmental monitoring, estuary, geoform component, habitat, humboldt bay, marine ecosystems, national ocean service, noaa, north america, office of coastal management, south bay, substrate component, u.s., u.s. department of commerce, uc sea grant, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Assessing How Climate Change Will Affect Coastal Habitats in the Northeast - NERRS/NSC(NERRS Science Collaborative)

A new tool has been developed, the Climate Change Vulnerability Assessment Tool for Coastal Habitats (CCVATCH), to help land managers, decision makers, and researchers develop conservation, management, and restoration plans for coastal habitats. This assessment tool identifies primary sources of vulnerability to assist with prioritizing coastal habitat management actions. As part of this project, four estuarine reserves in New England will conduct assessments of their areas, demonstrating the utility of the tool to support adaptive management in response to climate change. This science transfer project was funded by NOAA through the National Estuarine Research Reserve System Science Collaborative to promote the use of science. It did not produce any new data.

Tags: atmospheric/ocean indicators, biosphere, climate change, climate indicators, coastal, coastal processes, doc/noaa/nos/ocm, earth science, ecosystems, environmental governance/management, environmental vulnerability index (evi), human dimensions, inundation, land surface, landscape, marine ecosystems, narragansett bay nerr, national ocean service, nerrs, noaa, oceans, office of coastal management, reclamation/revegetation/restoration, ri, sea level rise, shorelines, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Digital Orthophotography for the Coasts of Maine and New Hampshire

Project: NOAA Digital Orthophotography for the Coasts of Main/New Hampshire, Massachusetts/Rhode Island/Connecticut, and Hudson River/Long Island /NY/NJ
Contract No. EA133C11CQ0010
Reference No. NCNP0000-14-00967
Woolpert Order No. 74571
CONTRACTOR: Woolpert, Inc.
The project represents the collection of digital orthoimagery for the coasts of Maine and New Hampshire; Massachusetts and Rhode Island; Connecticut, the Hudson River, Long Island and the NY/NJ metro area. The work was requested by the National Oceanic and Atmospheric Administration, Office of Response and Restoration division. The imagery is being acquired for use in the development of the ESI (Environmental Sensitivity Index) data in this same region. The entire project area includes approximately 11,669 square miles.
Original contact information: 
   Contact Org: National Oceanic and Atmospheric Administration (NOAA)
   Phone: 843-740-1200

Tags: aerial, airplane, cameras, coastal, connecticut, continent, digital orthophotography, doc/noaa/nos/ocm, earth science, imagery, infrared imagery, infrared wavelengths, maine, massachusetts, national ocean service, new hampshire, new jersey, new york, noaa, north america, office of coastal management, orthophoto, photograph, rectified image, rhode island, shoreline, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Upper Laguna Madre Bay 2004 Geoform

In 2006 and 2007 the NOAA Office for Coastal Management purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays.The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A and M University Center for Coastal Studies to develop benthic habitat data, primarily Submerged Aquatic Vegetation(SAV) for several coastal bays.  This data will support the state's recently adopted Seagrass Monitoring Program which calls for regional mapping of SAV for status and trends assessment.  The Center, Texas A and M, and TPWD have coordinated on the requirements of this project.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitat, biosphere, cmecs, coastal, coastal and marine ecological classification standard, continent, digital map, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geoform component, habitat classification, marine ecosystems, national ocean service, noaa, north america, office of coastal management, seagrass, submerged aquatic vegetation, texas, texas seagrass monitoring program, tx, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Washington, Northwest Puget Sound

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 Washington, Northwest Puget Sound 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 Island, San Juan, Skagit, Snohomish, and Whatcom Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2019 NOAA Lidar: Padilla Bay NERR and Skagit River Delta, WA
      2. 2016 West Washington Lidar
      3. 2014 Island County, WA Lidar
      4. 2014 USACE/USGS Topobathy Lidar: Puget Sound (WA)
      5. 2014 PSLC Lidar: Cedar River Watershed Project - Delivery 1
      6. 2013 Puget Sound Lidar Consortium (PSLC) Nooksack River Lidar
      7. 2013 City of Bellingham Lidar
      8. 2013 San Juan County, WA Lidar
      9. 2009 Puget Sound Lidar Consortium (PSLC) Lidar: San Juan County and Lummi Island
      10. 2006 USGS Lidar: North Puget Sound, Washington
      11. 2005 Puget Sound Lidar Consortium (PSLC) Lidar: Nooksack River - Lummi Tribe (Puget Sound Lowland Project)
      
The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) 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, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, island county, land surface, lidar, national ocean service, noaa, north america, office of coastal management, san juan county, sea level changes, sea level rise, skagit county, snohomish county, terrain elevation, topography, u.s. department of commerce, united states of america, us, washington, whatcom county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Maine Submerged Aquatic Vegetation Data 1993-1997 Biotic

Maine's eelgrass (SAV) meadows form an important aquatic habitat for the state. These meadows provide shelter for juvenile fish, and invertebrates. In certain locations they also help stabilize unconsolidated sediments and shorelines. Maine's Department of Marine Resources has mapped the SAV habitat for the entire coast using the Coastal Change Analysis Protocol. This mapping was accomplished from aerial photography acquired between 1993 and 1997. The unified coastal SAV data set is a composite of these multiple year data.  The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME).  This system is fully described in "Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02."
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aquatic, benthic, biosphere, biotic component, casco bay, cmecs, coastal, coastal and marine ecological classification standard, coastal maine, continent, doc/noaa/nos/ocm, earth science, ecosystems, eelgrass, englishman bay, environmental monitoring, estuary, frenchman bay, habitat, maine, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, penobscot bay, sav, seagrass, spill, subtidal, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP USVI, St. Thomas 2007-2012 Land Cover Change Analysis

This data set contains the 2007 and 2012 classifications of St. Thomas and can be used to analyze change. This data set utilized CIR imagery captured from Microsoft UltraCAM X (2010-11 flights) and Z/I Imaging DMC-II 230 (2012 flights) digital sensors and the 2007 high resolution St. Thomas C-CAP dataset which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: airplane, atlantic ocean, c-cap, cameras, caribbean sea, change detection analysis, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, north atlantic ocean, ocean, office of coastal management, remotely sensed imagery/photos, st. thomas, u.s. department of commerce, united states virgin islands, virgin islands, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Louisiana based on 2000 Census Block Groups

This data depicts the social vulnerability of Louisiana census block groups to environmental hazards.  Data were culled primarily from the 2000 Decennial Census.

Tags: census block groups, coastal areas, coastal states, comparative index, continent, demographic, demographics, doc/noaa/nos/ocm, earth science, environmental hazards, hazard mitigation/planning, household income, human dimensions, human settlements, indicators, louisiana, national ocean service, noaa, north america, office of coastal management, population, population estimates, poverty levels, resilience, social behavior, social vulnerability index, socioeconomics, u.s. department of commerce, united states, united states of america, vulnerability, vulnerability levels/index
Organization: National Oceanic and Atmospheric Administration, Department of Commerce