AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Louisiana Central

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 Louisiana Central 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 Acadia, Iberia, Lafayette, St. Martin, St. Mary, and Vermilion Parishes.
      
The DEM was produced from the following lidar data sets:
      1. 2017 Upper Delta Plain LA Lidar
      2. 2017 Chenier Plain LA Lidar
      3. 2015 South Terrebonne Lidar
      4. 2012 - 2013 USGS Louisiana Lidar: Atchafalaya Basin
      5. 2006 LA Statewide Lidar
      
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: acadia parish, 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, iberia parish, inundation, lafayette parish, land surface, lidar, louisiana, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, st. martin parish, st. mary parish, terrain elevation, topography, u.s. department of commerce, united states of america, vermilion parish
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Massachusetts

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 Massachusetts 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 Barnstable, Bristol, Dukes, Essex, Middlesex, Nantucket, Plymouth, Suffolk, and Norfolk Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2013 - 2014 USGS Hurricane Sandy Supplemental for NE (RI, MA, NH)
      2. 2011 USGS ARRA Lidar for the Northeast: Massachusetts
      
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: barnstable county, bathymetry/topography, bristol county, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, dukes county, earth science, elevation, essex county, flooding, geomorphic landforms/processes, inundation, land surface, lidar, massachusetts, middlesex county, nantucket county, national ocean service, noaa, norfolk county, north america, office of coastal management, plymouth county, sea level changes, sea level rise, suffolk county, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2004 Connecticut Coastline Lidar Mapping

LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a
combination of laser rangefinding, GPS positioning and inertial measurement technologies; LIDAR instruments are able to make
highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. This data was
collected at submeter resolution to provide nominal 1m spacing of collected points. Two returns were recorded for each pulse
in addition to an intensity value.

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, connecticut, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, 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
Healthy Wetlands and Communities for Southern California - NERRS/NSC(NERRS Science Collaborative)

Southern Californiaâs coastal environments are under intense development pressure. In the Tijuana River Valley, this pressure translates into the fragmentation and loss of coastal wetlands that provide invaluable services, such as water quality protection. Conserving and restoring these wetlands has become a priority for regional coastal managers, scientists, and environmental organizations. However, despite a wealth of knowledge about these coastal systems, decision-makers lack essential information to transform wetland recovery and management priorities into action.

Tags: biosphere, ca, climate change, doc/noaa/nos/ocm, earth science, ecosystem service valuation, ecosystems, estuary, flooding, habitat restoration, marine ecosystems, national ocean service, nerrs, noaa, office of coastal management, restoration, sea level rise, tijuana river, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Seattle (WA) WFO - Grays Harbor County

This digital elevation model (DEM) 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. The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. Because the WFO boundaries can cover large areas, the WFO DEM was divided into smaller DEMs to ensure more manageable file sizes.  The Seattle (WA) WFO DEM was split into three smaller DEMs. They are divided along county lines and are: 1. Seattle (WA) WFO - Grays Harbor County 2. Seattle (WA) WFO - Clallam, Jefferson, Kitsap, Mason, Pierce, and Thurston Counties 3. Seattle (WA) WFO - Whatcom, San Juan, Skagit, Island, Snohomish, and King Counties  This metadata record describes the DEM for Seattle (WA) WFO - Grays Harbor County. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Grays Harbor County, that met project specifications.  The DEM is derived from LiDAR datasets collected for the Puget Sound LiDAR Consortium (PSLC), United States Geological Survey (USGS) and the Oregon Department of Geology and Mineral Industries (DOGAMI), available from the NOAA Digital Coast. Hydrographic breaklines used in the creation of the DEM were delineated using LiDAR intensity imagery generated from each constituent dataset. The DEMs are hydro flattened such that water elevations are less than or equal to 0 meters.  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 5 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, grays harbor county, inundation, land surface, lidar, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Territory of American Samoa (West Manua) 2004-2010 Land Cover Change Analysis

This data set contains the 2004 and 2010 classifications of Territory of American Samoa (West Manua) derived from high resolution imagery and were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 2 partial Quickbird and 1 full or partial 2010 WorldView2 multispectral scenes and was analysed to detect C-CAP land cover features on West Manua, American Samoa.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, 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, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Asuncion Island, 2016

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized a Worldview-2 multispectral scene dated 05-13-2016.

Tags: 2016, airplane, asuncion island, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Illinois based on 2000 Census Block Groups

This data depicts the social vulnerability of Illinois 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, illinois, indicators, 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
Benthic Habitats of Florida Bay, FL 1991-1995 Substrate

In the winter of 1991/92 the National Oceanic and Atmospheric Administration's Office for Coastal Management's Coastal Change Analysis Program (C-CAP) and the State of Florida commissioned the National Ocean Service's Photogrammetry Unit, the National Geodetic Survey (NGS), to acquire conventional color metric aerial photography of Florida Bay suitable for interpretation of photic benthic habitats (scale of 1:48,000). Additional photography was acquired by NGS in 1995 to cover areas of the bay that were not interpretable due to turbidity and glare during the original mission. The imagery was collected according to stringent parameters detailed in the C-CAP protocol (https://coast.noaa.gov/crs/lca/ccap.html). The original photographic diapositives were interpreted by two ecologists, familiar with the local environment.  The benthic signatures were interpreted from the photography using Bausch and Lomb Zoom Stereoscopes and Richards Light Tables.  The boundaries of each unique signature were delineated on acetate overlays and assigned one of 20 habitat classes. Only the central 'sweet spot' of each frame was interpreted to minimize the effects of sun glint. An ecologist at the Florida Marine Research Institute (FMRI) conducted thematic quality assurance and control. Following interpretation, Office for Coastal Management staff scanned the aerial photos, with the interpreted acetate overlays attached, using a photogrammetric quality scanner (AGFA Horizon Plus) at a resolution of 600 dpi resulting in a pixel resolution of 2.03 meters.  The resulting image file was rectified (second order bilinear interpolation) using ERDAS Imagine software. Ground control points were selected from features common to digital orthophotoquads of Florida Bay. The interpreted polygon habitats were digitized into an ARC coverage from the rectified files using ERDAS Imagine software's vector module. In 1999, the final edits and quality control of the habitat polygons were completed. The coverage and shoreline were edge matched to the Benthic Habitats of the Florida Keys Atlas to complete the coverage, as the dates of photography, methodology and classification system used were the same.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitats, biosphere, cmecs, coastal, coastal and marine ecological classification standard, continent, corals, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, field verification, florida, florida bay, image rectification, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, photo-interpretation, seagrass, submerged aquatic vegetation, substrate component, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Maryland, Southeast

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 Maryland, Southeast 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 Somerset, Wicomico, and Worcester Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2012 NRCS Maryland LiDAR: Somerset and Wicomico
      2. 2011 VA FEMA LiDAR: Coastal Worcester
      3. 2011 Pocomoke and Atlantic Coastal Watersheds in Maryland
      
      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, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, land surface, lidar, maryland, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, somerset county, terrain elevation, topography, u.s. department of commerce, united states of america, us, wicomico county, worcester county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Aransas Bay 2004 Substrate

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, 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
Pilot Boarding Areas

A location offshore where a pilot may board a vessel in preparation to piloting it through local waters. Pilotage is compulsory for foreign vessels and U.S. vessels under register in foreign trade with specific draft characteristics. See 46 CFR 15.812 for additional detail. Pilot boarding stations and areas are either a well-defined position, a circular area around a position, or another more complex shaped area with well-defined boundaries.

Tags: coastal, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, human dimensions, marinecadastre, national ocean service, noaa, north america, office of coastal management, planning, renewable energy, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Effects of Sea Level Rise on New England Salt Marshes: A Workshop Led by the New England Research Reserves - NERRS/NSC(NERRS Science Collaborative)

To build capacity for addressing salt marsh resilience, the Narragansett Bay National Estuarine Research Reserve, in collaboration with the three other New England reserves, hosted a regional workshop in Portsmouth, New Hampshire on April 26, 2018 for researchers, practitioners, and policy makers to discuss the growing body of literature on salt marshes and sea level rise. Building upon the success of a similar workshop held in Rhode Island in 2014, the project further strengthened the connections among the New England reserves through cross-reserve exchange, and provided an important information-sharing opportunity for the larger salt marsh restoration and adaptation community. 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: biosphere, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuary, marine ecosystems, narragansett bay nerr, national ocean service, nerrs, noaa, north america, office of coastal management, rhode island, ri, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
North Carolina Seagrass Submersed Rooted Vasculars 1990 Substrate

A GIS data set of polygon data interpreted from aerial photography taken by NOAA/NOS Photogrammetry Branch depicting areas of Aquatic Beds of Rooted Vascular Plants in coastal north Carolina. Predominantly submersed rooted vasculars (SRV) but including some floating rooted vasculars (FRV). The nomenclature and definitions originally developed according to the Coastal Land Cover Classification System for the NOAA Coastal Change Analysis Project (C-CAP), Journal of Coastal Research 9(3):862-872 have been crosswalked into the Florida System For Classification of Habitats in Estuarine and Marine Environments (SCHEME) to build consistency with similar NOAA developed benthic data sets.  
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: albemarle sound, alligator river, aquatic bed, back sound, barden inlet, beaufort inlet, benthic, biosphere, bushy pondweed, cape hatteras, cape lookout, cmecs, coastal, coastal and marine ecological classification standard, coastal north carolina, continent, core sound, doc/noaa/nos/ocm, drum inlet, earth science, eastern north carolina, ecosystems, eelgrass, estuarine rooted vascular, estuary, eurasian water milfoil, halodule wrightii, hatteras inlet, horned pondweed, leafy pondweed, living marine resources, marine ecosystems, marine rooted vascular, myriophyllum spicatum, najas guadalupensis, national ocean service, neuse river estuary, newport river, noaa, north america, north carolina, ocracoke inlet, office of coastal management, oregon inlet, pamlico river, pamlico river estuary, pamlico sound currituck sound neuse river, pasquotank river, perquimans river, potamogeton foliosus, potamogeton pectinatus, potamogeton perfoliatus, pungo river, redhead grass, rooted vascular, ruppia maritima, sago pondweed, sav, seagrass, shoalgrass, submersed aquatic vegetation, substrate component, u.s. department of commerce, underwater vegetation, united states of america, usa, vallisneria americana, widgeon grass, wild celery, zannichellia palustris, zostera marina
Organization: National Oceanic and Atmospheric Administration, Department of Commerce