AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: North Carolina, Southern 1

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 North Carolina, Southern 1 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 Bladen, Brunswick, Columbus, New Hanover, and Pender Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2014 NGS Coastal Mapping Program Topobathy Lidar: Post-Sandy Atlantic Seaboard
      2. 2014 NC Statewide Lidar - Phase 2
      
      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, bladen county, brunswick county, coastal processes, columbus county, 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, national ocean service, new hanover county, noaa, north america, north carolina, office of coastal management, pender county, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2004 Saginaw Bay, Lake Huron, Michigan Coastline LiDAR

This metadata document describes the collection and processing of Light Detection and Ranging (LIDAR) data over
an area along the coast of Saginaw Bay, Lake Huron, Michigan.  Data was collected at a nominal two (2) meter post spacing
between points.  Two elevation data sets were compiled in this project, first surface returns, in which features that are
above the ground, such as buildings, bridges, tree tops, etc. have not been eliminated and a Bare Earth Data set.

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, michigan, 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
NOAA Office for Coastal Management Planned Data Acquisition for Aerial Imagery

OCM plans to collect aerial imagery to support coastal zone management activities.  Projects could take place anywhere within US coastal zone.

Tags: aerial imagery, doc/noaa/nos/ocm, imagery, multispectral imagery, national ocean service, noaa, office of coastal management, orthophotography, planned, planned data acquisition, u.s., u.s. coastal zone, u.s. department of commerce, u.s. territories
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: New Jersey Southern

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 New Jersey, Southern 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 Atlantic, Camden, Cape May, Cumberland, Gloucester, and Salem Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2018 New Jersey South Jersey FEMA
      2. 2018 NJ Southern NJ
      3. 2015 USGS Delaware Valley
      4. 2014 NGS Coastal Mapping Program Topobathy Lidar: Post-Sandy Atlantic Seaboard

      
      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: atlantic county, bathymetry/topography, camden county, cape may county, 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, gloucester county, inundation, land surface, lidar, national ocean service, new jersey, noaa, north america, office of coastal management, salem county, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Offshore Oil and Gas Platforms

These data show the location for oil and gas platforms located in the state and federal waters of the United States. Generally, this data set does not show platforms that have been decommissioned through a state or federal Rigs-to-Reefs program; only included herein are structures known to be actively producing hydrocarbon products, or those for which production status could not be verified.

Tags: continent, doc/noaa/nos/ocm, earth science, energy resources, environmental governance/management, exclusive economic zone, human dimensions, marinecadastre, national ocean service, natural gas, noaa, north america, office of coastal management, outer continental shelf, territorial sea, u.s. department of commerce, united states, united states of america, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Submerged Aquatic Vegetation of Bogue Sound, North Carolina 1992 Geodatabase

During 1992, 1:20,000 scale aerial photography for Bogue Sound, North Carolina was collected as part of an effort to map submerged aquatic vegetation (SAV) in Coastal North Carolina. The imagery was collected following a strict set of guidelines as detailed in NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation (NOAA Technical Report NMFS 123 1995; see Chapter 4 online at www.coast.noaa.gov/crs/lca/methods.html). Photographs were taken at low tide and during times that the growth stage of the SAV allowed for clear identification. Care was taken to minimize the effects of turbidity, sun glint, wind, and haze on the photos. The imagery was scanned using a photogrammetric quality scanner (AGFA Horizon Plus) at a resolution of 600 dots per inch (dpi) resulting in a pixel resolution of 0.85 meters. Signature development took place during the summer of 2001. The images were orthorectified using ground control points selected from the state digital orthoquads and the National Imagery and Mapping Agency (NIMA) Digital Terrain Elevation Data (DTED(r)). 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." The images were interpreted and digitized on screen using ArcGIS 8.2 and labeled using ArcView 3.2 and the Benthic Habitat Digitizer extension (developed by the NOS Biogeography Program). The data have not been assessed for thematic accuracy due to the large disparity between dates of image acquisition in 1992 and interpretation in 2002. The data was assessed for horizontal spatial accuracy and thematic agreement during the fall of 2002.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aerial photography, benthic, biosphere, biotic component, bogue sound, carteret county, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geoform component, halodule, marine ecosystems, national ocean service, nc, new river inlet, noaa, north america, north carolina, ocm benthic habitat mapping, office of coastal management, onslow county, sav, seagrass, submerged aquatic vegetation, substrate component, u.s. department of commerce, united states of america, zostera
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Coastal Inundation Digital Elevation Model: Honolulu Weather Forecast Office (HFO WFO) - Hawaii Island

These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center'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 (SLR) 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: http://www.csc.noaa.gov/slr

This metadata record describes the Honolulu Weather Forecast Office (HFO WFO) digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer described above. The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications for the Honolulu WFO, which includes the following islands in Hawaii: Kauai, Oahu, Molokai, Maui, Lanai, and Hawaii.

The DEM is derived from multiple sources.
1. 2006 Hawaii FEMA Lidar - acquired by FEMA along south shores of islands
2. 2007 USACE Pacific Islands Lidar: Hawaiian Islands - acquired by USACE and Hawaii State Civil Defense along north and windward facing shores of islands

Hydrographic breaklines were delineated from LiDAR intensity imagery generated from the LiDAR datasets. The final DEM is hydro flattened such that water elevations are less than or equal to -0.5 meters.

The DEM is referenced vertically to the Local Mean Sea Level (LMSL) tidal datum with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is 3 meters.

Tags: airplane, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, flooding, inundation, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, sea floor, sea level rise, seafloor topography, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
AIS Vessel Tracks 2020

A vessel track shows the location and characteristics of commercial and recreational boats as a sequence of positions transmitted by an Automatic Identification System (AIS). AIS signals are susceptible to interference and this can result in a gap within a vessel track. The distribution, type, and frequency of vessel tracks are a useful aid to understanding the risk of conflicting uses within a certain geographic area. The vessel track positions in this data set are collected and recorded from land-based antennas as part of a national network operated by the U.S. Coast Guard.

Tags: ais, coastal, doc/noaa/nos/ocm, exclusive economic zone, national ocean service, noaa, 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
2002/2003 IfSAR data for Southern California: Radar Reflectance Image

This metadata document describes the collection and processing of topographic elevation point data derived from Interferometric Synthetic Aperture Radar (IfSAR) measurement for coastal Southern California.  Collection consists of topographic elevations from the California counties of Santa Barbara, Ventura, Los Angeles, Orange, and San Diego, and the hydrologic units within those counties that drain to the Pacific Ocean along with offshore islands within the Channel Islands. The resulting data available for download, include the Digital Elevation Model (DEM), and the Raw magnitude radar reflectance data. Height Variance data is available upon request from NOAA OCM. This metadata record describes the orthorectified radar reflectance image.

Tags: bathymetry/topography, ca, california, channel islands, coastal, continent, digital elevation model (dem), doc/noaa/nos/ocm, dsm, earth science, elevation, geosar, height variance data, ifsar, imagery, infrared imagery, infrared wavelengths, interferometric, interferometric synthetic aperture radar (ifsar), los angeles county, mapping, national ocean service, noaa, north america, office of coastal management, orange county, radar, raw magnitude radar imagery (mag), san diego county, santa barbara county, spectral/engineering, u.s. department of commerce, united states of america, united states of america (usa), ventura county, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1980 Manitowoc County, WI NOAA Black & White 8 Bit Imagery

Historic aerial imagery for the Great Lakes shoreline of Lake Michigan was provided by the Bay-Lake Region Planning Commission (BLRPC). This imagery was captured in November 1980 by Aero-Metric Engineering, Inc. and archived by the BLRPC by Range/Township on mylar sheets at a scale of 1"=800'. Under contract to NOAA, Dewberry obtained the mylar sheets from BLRPC, scanned them at 600 DPI, and georeferenced the scanned images.

Tags: airplane, black and white, cameras, continent, doc/noaa/nos/ocm, earth science, glri, great lakes restoration initiative, historical, imagery, infrared imagery, infrared wavelengths, national ocean service, noaa, north america, office of coastal management, orthoimage, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths, wi, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Washington based on 2000 Census Block Groups

This data depicts the social vulnerability of Washington 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, 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, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Baffin Bay 2004 Biotic

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, 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
1981 Kewaunee County, WI NOAA Black & White 8 Bit Imagery

Historic aerial imagery for the Great Lakes shoreline of Lake Michigan was provided by the Bay-Lake Region Planning Commission (BLRPC). This imagery was captured in November 1980 by Aero-Metric Engineering, Inc. and archived by the BLRPC by Range/Township on mylar sheets at a scale of 1"=800'. Under contract to NOAA, Dewberry obtained the mylar sheets from BLRPC, scanned them at 600 DPI, and georeferenced the scanned images.

Tags: airplane, black and white, cameras, continent, doc/noaa/nos/ocm, earth science, glri, great lakes restoration initiative, historical, imagery, infrared imagery, infrared wavelengths, national ocean service, noaa, north america, office of coastal management, orthoimage, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths, wi, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
R-Factor for the Island of Kauai

The rainfall-runoff erosivity factor (R-Factor) quantifies the effects of raindrop impacts and reflects the amount and rate of runoff associated with the rain. The R-factor is one of the parameters used by the Revised Unified Soil Loss Equation (RUSLE) to estimate annual rates of erosion. This product is a raster representation of R-Factor derived from isoerodent maps published in the Agriculture Handbook Number 703 (Renard et al.,1997). Lines connecting points of equal rainfall ersoivity are called isoerodents. The iserodents plotted on a map of the Island of Kauai were digitized, then values between these lines were obtained by linear interpolation. The final R-Factor data are in raster GeoTiff format at 30 meter resolution in UTM, Zone 4, GRS80, NAD83.

Tags: agriculture, central pacific ocean, coastal zone, continent, doc/noaa/nos/ocm, earth science, environmental monitoring, erosion, erosion/sedimentation, hawaii, hawaiian islands, kauai, kaunakakai, kilauea, land surface, lihue, mana, national ocean service, noaa, north america, ocean, office of coastal management, opennspect, pacific ocean, r-factor, rainfall-runoff erosivity, revised universal soil loss equation, runoff, rusle, rusle2, soil erosion, soils, surface water, surface water processes/measurements, terrestrial hydrosphere, u.s. department of commerce, united states of america, waimea canyon
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
North Carolina Seagrass Submersed Rooted Vasculars 1990 Biotic

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, biotic component, 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, 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