AndreaBozzo/ceres-open-data-index huggingface dataset:
2004 Sediment Grab Data for Catlett and Goodwin Islands on the York River, Chesapeake Bay, Virginia (Ches_2004sedgrabs)

This data set represents the sediment grain size gathered from grab sampling in 2004 (12 stations). In Fall/Winter 2002, researchers from the Virginia Institute of Marine Science (VIMS) and the NOAA Office for Coastal Management conducted a project to map benthic habitats by Catlett and Goodwin Islands on the York River, Chesapeake Bay, Virginia.  Sediment grab samples were collected at 56 stations and sediment profile images were collected at 200 stations.  Sampling areas were also surveyed using side scan sonar and multibeam bathymetry sensors.  Scientists from the Virginia Institute of Marine Sciences returned to sample a subset of the 2002 sediment grab data in 2003 and then again in 2004.  A subset of SPI stations (79) were revisited in 2004.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, biosphere, catlett island, chesapeake bay, clay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information systems, gis, goodwin island, gravel, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, sand, sediment, sediment grab, silt, u.s. department of commerce, united states of america, virginia, york river
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Re-Engineering Living Shorelines for High-Energy Coastal Environments - NERRS/NSC(NERRS Science Collaborative)

This project conducted field research at six shoreline sites in the Guana Tolomato Matanzas National Estuarine Research Reserve in northeast Florida. At each of the six study sites, the project team installed experimental living shoreline treatments. Between November 2015 and June 2019, several physical and biological variables were routinely monitored to evaluate the performance of the living shoreline installations, including: (1) ecological response variables for the adjacent marsh (2) data about the oysters and invertebrates that colonized the new living shoreline structures, and (3) hydrodynamic measurements around the new structures.

Tags: animals/invertebrates, biological classification, biosphere, bivalve, bivalves, boat wake, coastal, coastal processes, doc/noaa/nos/ocm, earth science, ecosystems, environmental governance/management, erosion, fl, gabion-breaks, guana tolomato matanzas nerr, habitat, high-energy, human dimensions, hydrodynamics, intercoastal waterway, land surface, landscape, living shorelines, macrofauna, marine ecosystems, marshes, mollusk, mollusks, national ocean service, nerrs, noaa, oceans, office of coastal management, oysters, pressure, reclamation/revegetation/restoration, reef, restoration, salt marsh, shellfish, shorelines, tide, u.s. department of commerce, wake, water level, wave
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
AIS Vessel Tracks 2023

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
Commercial Vessel Density October 2009-2010 AIS National

These data were generated to provide insight into traffic patterns on a macro scale so they could be analyzed across the coastal waters of the Continental United States. 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. There were some grid cells which were unable to be processed, but it is not perceived that this interferes with the integrity of these data.

Please note multiple connection errors occurred during the time frame of this study. In most cases, data gaps were filled by making subsequent requests to the Coast Guard 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 of less than a day per month. Because outages were random and affect all areas uniformly, they do not have a significant effect on the integrity of the data. As stated on the USCG NAIS website, AIS data are 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, 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
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Eureka (CA) WFO - Mendocino 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 Eureka (CA) WFO DEM was split into two smaller DEMs. They are divided along county lines and are: 1. Eureka (CA) WFO - Mendocino County 2. Eureka (CA) WFO - Humboldt and Del Norte Counties  This metadata record describes the DEM for Eureka (CA) WFO - Mendocino County. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Mendocino County, that met project specifications.  The DEM is derived from LiDAR data collected for the California Coastal Conservancy between 2009 and 2011. Hydrographic breaklines used in the creation of the DEM were obtained from the California Coastal Conservancy. 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, california, 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, mendocino county, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
AIS Vessel Transit Counts 2022

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
2016 NOAA Topobathy Lidar: Upper Lake Michigan Islands

These data were collected by Leading Edge Geomatics using a Leica Chiroptera II Bathymetric & Topographic Sensor. The project consists of approximately 205 square miles of data along the shores of the Beaver Island Archipelago and South Manitou Islands in Upper Lake Michigan. The data were acquired between November 16, 2015 through December 5, 2015 for Beaver Island, North Fox Island, Gull Island, High Island, Garden Island, and Isle Aux Galets. The data for South Manitou Island, South Fox Island and several smaller islands that needed to be re-acquired on Beaver Island due to data gaps, were acquired on June 2, 2016 and June 3, 2016.  The data includes topobathy data classified as: created, never classified (0), unclassified (1), ground (2), bathymetric bottom (40), water surface (41), derived water surface (42), no bottom found (45) in accordance with project specifications. This dataset contains 3,361 500 m x 500 m lidar tiles.                                                                                                                                        In addition to the lidar point data, bare earth Digital Elevation Models (DEMs) at a 2 meter grid size are available. These data are available from the NOAA Digital Coast at: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6195
Original contact information: 
   Contact Org: National Oceanic and Atmospheric Administration (NOAA), Office for Coastal Management
   Phone: 843-740-1202

Tags: 20151116, 20151117, 20151129, 20151130, 20151204, 20151205, 20160602, 20160603, bathymetry, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, 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
C-CAP Land Cover, United States Virgin Islands, St. Croix, 2012

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 CIR imagery captured from Microsoft UltraCAM X (2011 flights) and Z/I Imaging DMC-II 230 (2012 flights) digital sensors. The land cover is based on the 2007 high resolution St. Croix C-CAP dataset. Changes were identified using aerial photo interpretation of the 2007 dataset against the 2011-2012 imagery.

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. croix, u.s. department of commerce, virgin islands, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Indiana based on 2000 Census Block Groups

This data depicts the social vulnerability of Indiana 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, indiana, 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
1980 Racine County, WI NOAA Black & White 8 Bit Imagery

Historic aerial imagery for the Great Lakes shoreline of Lake Michigan was provided by the Southeastern Wisconsin Regional Planning Commission (SEWRPC). This imagery was captured in April 1980 by Chicago Aerial Survey and archived by the SEWRPC on mylar sheets at a scale of 1"=400'. Under contract to NOAA, Dewberry obtained the mylar sheets from SEWRPC, 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 Florida based on 2000 Census Block Groups

This data depicts the social vulnerability of Florida 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, florida, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management 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 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 (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.coast.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 Office for Coastal Management'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: 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, hawaii, hawaii 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Tinian 2014

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 12-14-2014. An additional scene dated 6-23-2012 was used to replace cloud obscured areas within the base imagery.

Tags: 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, tinian, 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: Virginia, Northern

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, Northern 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 Alexandria, Arlington, Falls Church, King George, Lancaster, Northumberland, Prince William, Richmond, Stafford, and Westmoreland Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2014 USGS Hurricane Sandy Supplemental for National Capital Region (NCR)
      2. 2011 FEMA Virginia Lidar
      3. 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: alexandria county, arlington county, bathymetry/topography, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, falls church county, flooding, geomorphic landforms/processes, inundation, king george county, lancaster county, land surface, lidar, national ocean service, noaa, north america, northumberland county, office of coastal management, prince william county, richmond county, sea level changes, sea level rise, stafford county, terrain elevation, topography, u.s. department of commerce, united states of america, us, virginia, westmoreland county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Maine 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 Maine 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 Hancock, Penobscot, Waldo, and Washington Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2017 Eastern Maine Lidar
      2. 2015 USGS Central ME QL2 LIdar
      3. 2010 USGS ARRA Lidar for the Northeast: Maine
      
The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Tags: bathymetry/topography, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, hancock county, inundation, land surface, lidar, maine, national ocean service, noaa, north america, office of coastal management, penobscot county, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, waldo county, washington county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce