AndreaBozzo/ceres-open-data-index huggingface dataset:
Social Vulnerability Index (SoVI) for New York based on 2000 Census Block Groups

This data depicts the social vulnerability of New York 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, new york, 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
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Agrihan, 2001

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 Quickbird multispectral scene 1 additional scene was used to replace cloud obscured areas within the base imagery both scenes were processed to detect C-CAP land cover features on Agrihan, CNMI.

Tags: agrihan, airplane, 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
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Maryland, East

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, East 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 Caroline, Dorchester, Queen Anne's, and Talbot Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2015 MD/PA Sandy Supplemental LiDAR
      2. 2013 Hurricane Sandy Supplemental LiDAR: Caroline, Dorchester
      3. 2013 Queen Anne's County HD LiDAR
      
      The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Tags: bathymetry/topography, caroline county, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, dorchester county, earth science, elevation, flooding, geomorphic landforms/processes, inundation, land surface, lidar, maryland, national ocean service, noaa, north america, office of coastal management, queen anne's county, sea level changes, sea level rise, talbot county, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
North Carolina Seagrass Submersed Rooted Vasculars 1990 Geoform

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, geoform component, 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
Bringing the "Oly" Oyster Back to Oregon's Coast - NERRS/NSC(NERRS Science Collaborative)

Pint-sized with razor-sharp edges, Olympia oysters once flourished along Oregonâs rugged coast. Millions of them formed extensive beds that blanketed the tidal zones of places like Coos Bay and Yaquina bays, where they provided food and income for people and habitat for wildlife. In recent years, over-harvesting, development, sedimentation, pollution, dredging, and forest fires have all played a role in the dramatic decline of this native shellfish that, in many places, has become locally extinct. Bringing the âOlyâ back is a priority for natural resource managers, scientists, shellfish farmers, and recreationists.

Tags: biosphere, doc/noaa/nos/ocm, earth science, ecosystems, estuary, habitat restoration, marine ecosystems, national ocean service, nerrs, noaa, office of coastal management, or, oyster, restoration, shellfish, south slough, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
AIS Vessel Transit Counts 2018

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
2013 C-CAP Derived 30 meter Impervious Surface Land Cover - BETA

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats. The timeframe for this data is 2013. These maps are developed through the automated classification of high resolution National Agriculture Imagery Program (NAIP) imagery, available Lidar digital elevation data, and assorted ancillary information. 

While produced as part of the Coastal Change Analysis Program (C-CAP), these products should not be compared directly to past dates of 30-meter C-CAP to identify change, as there will be vast differences caused by the different methods and the classes mapped.

These data should be considered to be BETA-level or draft products. They are based on 1-meter land cover mapping that were entirely automated and the relationship of those data to existing wetlands data. As such, there may be issues that result from the different vintages of these products, as well as the errors included in each. While not perfect, the data should provide an example of what level of detail would be possible through such higher-resolution mapping.

These data are not jurisdictional or intended for use in litigation. NOAA does not assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Tags: airplane, c-cap, cameras, coastal zone, doc/noaa/nos/ocm, earth science, impervious surface, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, office of coastal management, remotely sensed imagery/photos, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Connecticut

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 Connecticut 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 Fairfield, Hartford, Middlesex, New Haven, and New London Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2016 Connecticut 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: bathymetry/topography, coastal processes, connecticut, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, fairfield county, flooding, geomorphic landforms/processes, hartford county, inundation, land surface, lidar, middlesex county, national ocean service, new haven county, new london county, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1998 Harrisburg Airport Survey

This data set includes data collected in 1998 to evaluate the ability of lidar to survey airport obstructions in
collaboration with NOAA National Geodetic Survey.
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 ground at approximately 60 meters per second while surveying.

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

Tags: bathymetry/seafloor topography, beach, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, pennsylvania, 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
Coastal Bend Texas Benthic Habitat Mapping Copano 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
Benthic grab data from October 1995 in the inland bays of New York/New Jersey Harbor

Benthic grab samples were collected using a Shipek grab at pre-determined locations in the harbor. Taxonomic enumerations and biological community parameters were estimated from grab samples and used to assess habitat conditions in conjunction with sediment profile images taken at the same stations. All data were entered into a database, and habitat classes were defined for each station. The database was then used in a Geographic Information System (GIS) to characterize benthic habitat types for New York/New Jersey Harbor.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic grab, benthic habitat, benthic mapping, biosphere, bowery bay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, flushing bay, geographic information system, gis, jamaica bay, marine ecosystems, national ocean service, new york, new york harbor, newark bay, noaa, north america, northeastern u. s., ocm benthic habitat mapping, office of coastal management, u.s. department of commerce, united states of america, upper bay
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sediment Profile Image Data from September 2001 in Wells, Maine (wellsspi)

In fall 2001, researchers from the Wells National Estuarine Research Reserve, Virginia Institute of Marine Science, and the NOAA Office for Coastal Management conducted a project to map benthic habitats in the York and Webhannet rivers in southern Maine.  The team completed two weeks of fieldwork in September 2001, collecting sediment profile images at 382 stations and sediment grab samples at 93 stations.  This data set represents the information gathered from sediment profile imagery sampling.
Original contact information: 
   Contact Name: Dr. Michele Dionne
   Contact Org: Wells National Estuarine Research Reserve
   Phone: (207) 646-1555

Tags: benthic, benthic data, biosphere, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information system, gis, maine, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, sediment profile image, spi, u.s. department of commerce, united states of america, webhannet river, wells, york, york river
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 Hudson River Shallow Water Sediment Grabs

The Hudson River Shallow Water Mapping project characterizes the bottom of the Hudson River Estuary in shallow water (<3 m). The characterization includes acoustic data and bottom verification through sediment cores and grabs. Sediment cores and grabs for the zone of the Hudson River between Troy, NY and Saugerties, NY were collected in April 2010 by scientists of Lamont-Doherty Earth Observatory operating as sub-contractors of Fugro Atlantic. Samples were collected using the D. Prichard, a Stony Brook University vessel and analysed and archived at Lamont Doherty. This data set describes details of the sediment grabs. The grab samples were described in the field.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, biosphere, clay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information systems, gis, gravel, hudson river, marine ecosystems, national ocean service, new york, new york state, noaa, north america, northeast, ocm benthic habitat mapping, office of coastal management, sand, sediment, sediment grab, silt, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Connecticut, 2016

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats. The timeframe for this metadata is summer 2016. These maps are developed utilizing high resolution National Agriculture Imagery Program (NAIP) imagery, and can be used to track changes in the landscape through time. The C-CAP program will use addtional image sources such as leaf off or tide controlled low tide imagery if it is available. This trend information gives important feedback to managers on the success or failure of management policies and programs and aid in developing a scientific understanding of the Earth system and its response to natural and human-induced changes. This understanding allows for the prediction of impacts due to these changes and the assessment of their cumulative effects, helping coastal resource managers make more informed regional decisions. NOAA C-CAP is a contributing member to the Multi-Resolution Land Characteristics consortium and C-CAP products are included as the coastal expression of land cover within the National Land Cover Database.

Tags: 2016, airplane, c-cap, cameras, coastal zone, connecticut, ct, 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 america, ocean, office of coastal management, remotely sensed imagery/photos, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Commercial Vessel Density October 2009-2010 AIS UTM15

These data were generated to provide insight into marine traffic patterns on a macro scale so they could be analyzed across the coastal waters of the Continental United States, this data set is for the UTM Zone 15N.  For this dataset a transit is counted for every unique vessel intersecting a 1 kilometer square grid cell each day. This data represents the total number of vessel transits from October 2009 - October 2010. Some grid cells were unable to be processed, but this does not interfere with the integrity of this dataset. 

Please note multiple connection errors occurred during the time frame of this study. In most cases data gaps were filled by making subsequent request to the coastguard or other groups receiving the same data feed. However, due to resource constraints uninterrupted coverage was not obtained. Overall data outages were minimal on the order less than a day per month and because random and affect all areas uniformly do not has a significant effect on the integrity of the data. Also as stated on the USCG NAIS website AIS data is not representative of all vessel traffic and USCG NAIS receivers do not fully cover the entire extent of this study area. Please take time to understand both of these limitations.

Tags: ais, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, human dimensions, national ocean service, noaa, north america, office of coastal management, ship counts, u.s. department of commerce, united states, united states of america, vessel traffic
Organization: National Oceanic and Atmospheric Administration, Department of Commerce