AndreaBozzo/ceres-open-data-index huggingface dataset:
Humboldt Bay Benthic Habitats 2009 Aquatic Setting

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 Coastal Services Center 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. An aerial imagery-based mapping effort was conducted between 2008 and 2010 which produced a shallow benthic habitat map classified using the Florida System for Classifying Habitats in Estuarine and Marine Environments (SCHEME) system. This effort resulted in a single polygon shapefile which was later converted to the Coastal and Marine Ecological Classification Standard (CMECS)classification and organized into separate feature layers for three CMECS components; geoform, substrate, and biotic.  Aquatic setting layers (#1 and #2) were produced to further populate the CMECS data structure.  Ancillary data was used to accomplish this process in 2015.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aquatic setting, arcata bay, benthic, biosphere, biotic component, california, california seagrant, 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, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2014 NOAA Post-Sandy Topobathymetric Lidar DEMs: South Carolina to New York

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 201311- 201406. The data includes topobathy data with points classified by target type (e.g. ground, water, etc). The final classified LiDAR data were then used to create topobathymetric DEMs in IMG format with 1m pixel size using ground points. The full project consists of 2,775 square miles along the Atlantic Coast from New York to South Carolina, or 41,388 - 500 m x 500 m lidar tiles. These tiles have been combined into 140 larger blocks. The data collection and processing was funded by post-Sandy supplemental funds. While Sandy was considered an extra-tropical storm when it struck, the word hurricane is in this sentence for search purposes.
Original contact information: 
   Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division
   Title: Chief, Remote Sensing Division
   Phone: 301-713-2663

Tags: 201311, 201406, coastal elevation, coastal processes, continent, delaware, dem, dems, doc/noaa/nos/ocm, earth science, land surface, maryland, national ocean service, new jersey, new york, noaa, north america, north carolina, oceans, office of coastal management, 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
2006 C-CAP Land Cover, Territory  of  American Samoa,  Rose Atoll

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 which utilized 1 full Quickbird multispectral scene and 1 full or partial 2009 WorldView2 multispectral scene, was analyzed to detect C-CAP land cover features on Rose Atoll, American Samoa.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, 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, national ocean service, noaa, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, rose atoll, u.s. department of commerce, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2017 NOAA NGS Topobathy Lidar DEM (Interpolated): Fort Lauderdale to Miami (FL)

These data were collected by the National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Devision (RSD), Coastal Mapping Program (CMP) using a Riegl VQ880G system. Quantum Spatial Inc (QSI) was contracted by NOAA to process the topobathymetic LiDAR data.  The NOAA Miami Florida Intracoastal Topobathy (Miami Intracoastal) data were acquired from 20170224 - 20170310 in five missions. The Miami Intracoastal dataset includes topobathy data in a LAS 1.2 format file with the following classification: unclassified (1), ground (2), noise (7), overlap default (19), overlap ground (20), overlap water column (21), water column (25), bathymetric bottom or submerged topography (26), submerged feature (29), and temporal bathy bottom (31) in accordance with project specifications. The contracted project consists of approximately 53,381 acres along the Atlantic Coast of Miami, Florida.  This dataset delivery represents the full NOAA Miami Florida Intracoastal Topobathy LiDAR Processing area. LAS files were compiled by 500 m x 500 m tiles. The final classified LiDAR data were then used to create topobathymetric DEMs in IMG format with 1m pixel resolution. This Miami Intracoastal dataset represents an area covering 15 - 5000 m x 5000 m DEM tiles.

Tags: 20170224, 20170225, 20170302, 20170309, 20170310, bathymetry, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, coris, country/territory, dem, dems, doc/noaa/nos/ocm, earth science, florida, geographic information, 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
C-CAP USVI, St. John 2007-2012 Land Cover Change Analysis

This data set contains the 2007 and 2012 classifications of St. John and can be used to analyze change. This data set utilized CIR imagery captured from a Z/I Imaging DMC-II 230 (2012 flights) digital sensor and the 2007 high resolution St. John 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. john, u.s. department of commerce, united states virgin islands, virgin islands, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Surface Aragonite

This data layer represents surficial (0m) aragonite saturation state. Aragonite saturation state is measured as the concentration of calcium ions multiplied by the concentration of carbonate ions, and divided by apparent solubility product (Ksp). These values were extracted from a NOAA National Centers for Environmental Information (NCEI) archived data package containing gridded data of aragonite saturation state across the global oceans (spatial distributions with a resolution of 1x1 degree latitude and longitude) at depth levels of 0m, 50m, 100m, 200m, 500m, 1000m, 2000m, 3000m and 4000m. Ocean station data with at least dissolved inorganic carbon (DIC) and total alkalinity (TA) measurements were obtained from the Global Ocean Data Analysis Project (GLODAP), the Carbon Dioxide in the Atlantic Ocean (CARINA), the Pacific Ocean Interior Carbon (PACIFICA), and some recent cruise data sets. Aragonite saturation state was calculated using a Matlab version of CO2SYS from in-situ temperature, pressure, salinity, dissolved inorganic carbon (DIC), total alkalinity (TA), silicate and phosphate with the dissociation constants for carbonic acid of Lueker et al. [2000], potassium bisulfate (KHSO4-) of Dickson [1990a], boric acid of Dickson [1990b], and with the total borate concentration equations of Lee et al. [2010]. For more information about the data set, please read the below paper: Jiang, L.-Q., R. A. Feely, B. R. Carter, D. J. Greeley, D. K. Gledhill, and K. M. Arzayus (2015), Climatological distribution of aragonite saturation state in the global oceans, Global Biogeochem. Cycles, 29, 1656-1673, doi:10.1002/2015GB005198.

Tags: coastal, continent, doc/noaa/nos/ocm, exclusive economic zone, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, planning, renewable energy, territorial sea, u.s. department of commerce, united states of america, water column, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 C-CAP Land Cover, Territory  of  American Samoa,  West Manua

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 1 full or partial 2010 WorldView2 multispectral scene and the 2004 high-resolution West Manua, American Samoa C-CAP data set. The imagery and base classification were included in a multi-step change detection process to extract land cover features in the 2010 imagery.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, 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, national ocean service, noaa, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, west manua, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Wetlands

This data set represents the extent, approximate location and type of estuarine and marine wetland habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979), which represents a biological definition of wetlands and deepwater habitats. There is no attempt to define the limits of proprietary jurisdiction of any Federal, State, or local government, or to establish the geographical scope of the regulatory programs of government agencies. Some wetland habitats may be under represented or excluded in certain areas because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters and also some deepwater reef communities (coral or tuberficid worm reefs). These habitats, because of their depth and water clarity, go undetected by most aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project boundaries, specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.

Tags: aquatic ecosystems, biosphere, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuarine wetlands, exclusive economic zone, marine, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, territorial sea, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Anchorages

Anchorages are well-defined navigable waters where a vessel may safely drop anchor. The size, shape, and conditions for use of these areas can vary widely. Generally, anchorages are not used for an indefinite duration, nor are they routinely used for maintenance, repair, overhaul, bunkering, or sea trials.

Tags: continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, human dimensions, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, territorial sea, 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: Virginia, Middle

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 Virginia, Middle 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 Charles City, Essex, Gloucester, Hampton, James City, King and Queen, King William, Mathews, Middlesex, New Kent, Newport News, Poquoson, Williamsburg, and York Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2013 USGS Norfolk, VA Lidar
      2. 2014 Virginia Hurricane Sandy QL2 Lidar
      3. 2011 FEMA Virginia Lidar
      4. 2010 ARRA-VA 11County
      
      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, charles city, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, essex county, flooding, geomorphic landforms/processes, gloucester county, hampton county, inundation, james city, king and queen county, king william county, land surface, lidar, mathews county, middlesex county, national ocean service, new kent county, newport news county, noaa, north america, office of coastal management, poquoson county, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, virginia, williamsburg county, york county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Reprocessed DOQQ Aerial Imagery

In 2006 and 2007 the NOAA Office for Coastal Management purchased services to reprocess 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 Name: Harold Rempel
   Contact Org: Fugro EarthData, Inc.
   Title: Director of Program Management
   Phone: 301-948-8550
   Email: hrempel@earthdata.com

Tags: ads40, aerial photography, airplane, cameras, color infrared doqq, continent, digital orthophoto quarter quad (doqq), digital orthophotography, doc/noaa/nos/ocm, earth science, imagery, infrared imagery, infrared wavelengths, national ocean service, natural color doqq, noaa, north america, office of coastal management, remotely sensed imagery/photos, spectral/engineering, texas, texas seagrass monitoring program, tx, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, United States Virgin Islands, St John 2005

This data set consists of land cover 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 2 IKONOS multispectral scenes. These full scenes were sufficient to replace cloud obscured areas within the base imagery. Both scenes were processed to detect C-CAP land cover features on St John, U.S. Virgin Islands.

Tags: airplane, atlantic ocean, c-cap, cameras, caribbean sea, 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, national ocean service, noaa, north atlantic ocean, ocean, office of coastal management, remotely sensed imagery/photos, st john, u.s. department of commerce, virgin islands, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
AIS Vessel Transit Counts 2021

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal planning purposes. NOAA and BOEM have worked jointly to re-task and make available some of the most important records from the U.S. Coast Guard's national network of AIS receivers. This dataset represents annual vessel transit counts summarized at a 100 m by 100 m geographic area. A single transit is counted each time a vessel track passes through, starts, or stops within a 100 m grid cell.

Tags: ais, coastal, continent, doc/noaa/nos/ocm, exclusive economic zone, national ocean service, noaa, north america, office of coastal management, outer continental shelf, planning, renewable energy, territorial sea, 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: Texas 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 Texas 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 Calhoun, Jackson, Matagorda, and Victoria Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2018 TNRIS Lidar: Upper Coastal Lidar
      2. 2018 Matagorda Bay TX Lidar
      3. 2018 Texas - South Texas 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: bathymetry/topography, calhoun county, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, jackson county, land surface, lidar, matagorda county, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, terrain elevation, texas, topography, u.s. department of commerce, united states of america, victoria county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce