AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastal Mapping Program of  Port of Charleston, SC, SC2501-CS-N

These data provide an accurate high-resolution shoreline compiled from imagery of  Port of Charleston, SC .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, port of charleston, shoreline, shoreline mapping program, south carolina, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2017 NOAA/MCP Topobathy Lidar: Blue Hill Bay, ME - Riegl Sensor

Fugro was contracted in July 2017 by the State of Maine Department of Marine Resources (SMDMR), Maine Coastal Program (MCP), and the NOAA Office for Coastal Management (OCM) to conduct an Airborne LiDAR Bathymetry (ALB) survey in the vicinity of Blue Hill Bay in Maine, and to deliver fully processed and verified hydrographic survey data.The ALB survey was conducted with the SHOALS-1000T and Riegl VQ-820-G lidar systems in a concurrent acquisition. The SHOALS system, with a high power laser, provided the better probability for deep sounding detections at a reduced point density (about 0.15 pts/m2); whilst the Riegl VQ-820-Q provided high density coverage (up to 8.5 pts/m2) but at reduced depth detection.

This metadata record describes the topographic and bathymetric LiDAR elevations generated from data collected with the Riegl VQ-820-Q LiDAR system along Blue Hill Bay on the coastline of Maine. These files contain topographic and bathymetric LiDAR elevations generated from data collected with the Riegl VQ-820-G LiDAR system along Blue Hill Bay on the coastline of Maine. Data were collected by Fugro for NOAA OCM. The Riegl VQ-820-G system is a a bathymetric LiDAR sensor for use in coastal mapping and charting activities because the laser's ability to penetrate the water column and detect targets up to 1 time the Secchi disk depth. Survey coverage is based on a delimiting polygon provided by NOAA OCM, which envelopes the area between the 0 m contour (NAVD88) down to approximated -10 meters. Riegl VQ-820-G data were processed on Riegl RiProcess software for: point cloud generation, boresight calibration, water surface classification and modeling, refraction correction; and exported with a minimal classification LAS format v1.4 for delivery. Additional classification was performed after delivery to extract ground and bathymetric points. 

In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

A link to custom download the concurrently collected topographic and bathymetric data (collected with the SHOALS-1000T lidar system) is provided in the URL section of this metadata record.

Tags: airplane, bathymetry/seafloor topography, beach, blue hill bay, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, light detection and ranging, maine, national ocean service, national oceanic and atmospheric administration, noaa, north america, oceans, office of coastal management, point data, sea floor, seafloor topography, terrain elevation, topography, u.s. department of commerce, u.s. east coast, united states of america, vertical location, vq-820-g
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Florida East 2

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 Florida East 2 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 Brevard, Clay, Flagler, Lake, Marion, Orange, Putnam, Seminole, St. Johns, and Volusia Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2018 Florida Peninsular FDEM - Brevard
      2. 2018 Florida Peninsular FDEM - Clay
      3. 2019 Florida Peninsular - Flagler
      4. 2018 Florida Peninsular - Lake
      5. 2018 Florida Peninsular - Marion
      6. 2018 Florida Peninsular FDEM - Orange
      7. 2017 City Of Palm Coast, Florida Lidar
      8. 2018 Florida Peninsular - Putnam
      9. 2018 Florida Peninsular - Seminole
    10. 2018 Florida Peninsular FDEM - St. Johns
    11. 2017 Upper St Johns River Basin
    12. 2018 Florida Peninsular - Volusia

      
      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: airplane, bathymetry/topography, brevard county, clay county, coastal elevation, coastal processes, continent, dem, digital elevation model, doc/noaa/nos/ocm, earth science, elevation, flagler county, flooding, florida, inundation, lake county, land surface, lidar, light detection and ranging, marion county, national ocean service, noaa, north america, oceans, office of coastal management, orange county, putnam county, sea level rise, seminole county, st. johns county, terrain elevation, topography, u.s. department of commerce, united states of america, us, vertical location, volusia county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2019 NOAA OCM Unmanned Aerial System Lidar: Great Bay NERR

In April 2019, Quantum Spatial (QSI) was contracted by The National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management (OCM) in partnership with the Great Bay National Estuarine Research Reserve (GBNERR) to collect high resolution Light Detection and Ranging (LiDAR) data in the spring of 2019 for four research sites within the GBNERR in New Hampshire. These four sites are âSentinel Sitesâ within the GBNERR where vegetation and elevation parameters have previously been continuously monitored and surveyed using traditional methods that require extensive person hours and manual labor. 

In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

Tags: airplane, beach, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, estuarine, land surface, lidar, light detection and ranging, national, national ocean service, nerr, new hampshire, noaa, north america, oceans, office of coastal management, research, reserve, terrain elevation, topography, u.s. department of commerce, uas, uav, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Marsh Migration

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 Marsh Migration data displayed in the SLR Viewer. These data represent the potential distribution of each wetland type based on their elevation and how frequently they may be inundated under potential future SLR scenarios, from 0 to 10ft of SLR. As sea level rises, higher elevations will become more frequently inundated, allowing for marsh migration landward. At the same time, some lower-lying areas will be so often inundated that the marshes will no longer be able to thrive, becoming lost to open water. These data are based on the assumption that specific wetland types exist within an established tidal elevation range, based on an accepted understanding of what types of vegetation can exist given varying frequency and time of inundation, as well as salinity impacts from such inundation.
      
The data were created using the NOAA OCM Coastal Change Analysis Program (CCAP) land cover data, the SLR Viewer's digital elevation models, and NOAA VDatum tidal surfaces.
      
The data are available in 0.5ft increments of net sea level change, from 0 to 10ft. To determine the appropriate level, the user must identify a SLR scenario and an applicable accretion rate for the area of interest. The easiest way to do this is to go into the SLR Viewer's Marsh Migration tab; select a location, SLR scenario, and timeframe; and identify the closest available 0.5ft increment to what the viewer shows. For more information, see the tutorial at https://coast.noaa.gov/elearning/marshmigration/.

Data are available for download at https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/slr_wetland/.

Tags: bathymetry/topography, ccap, coastal change analysis program, doc/noaa/nos/ocm, elevation, inundation, land cover analysis, marsh migration, national ocean service, net sea level change, noaa, office of coastal management, sea level rise, u.s. department of commerce, united states
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
EAARL-B Submerged Topography - Saint Croix and Saint Thomas, U.S. Virgin Islands, 2014

Binary point-cloud data for part of the submerged environs of Saint Croix and Saint Thomas, U.S. Virgin Islands, were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey in collaboration with the National Oceanic and Atmospheric Administration's Coral Reef Conservation Program. Elevation measurements were collected over the area using the second-generation Experimental Advanced Airborne Research Lidar, a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an 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 plane travels over the target area at approximately 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 0.5-1.6 meters. The nominal vertical elevation accuracy expressed as the root mean square error (RMSE) is 13.5 centimeters on Saint Croix. Data were insufficient to calculate the nominal vertical elevation accuracy expressed as the root mean square error (RMSE) on Saint Thomas. A peak sampling rate of 15-30 kilohertz results in an extremely dense spatial elevation dataset. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.
Original contact information: 
   Contact Name: Xan Fredericks
   Contact Org: Cherokee Nation Technology Solutions, U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL
   Title: Lidar Validation and Processing Analyst
   Phone: 727 502-8086
   Email: afredericks@usgs.gov

Tags: 2014, airborne lidar processing system, alps, atlantic ocean, bathymetry, bathymetry/seafloor topography, caribbean, caribbean sea, cessna 310, coastal and marine geology, coastal elevation, coastal processes, country/territory, dem, digital elevation model, doc/noaa/nos/ocm, doi/usgs/cmg, eaarl-b, earth science, experimental advanced airborne research lidar, geographic information, land surface, laser altimetry, lesser antilles, lidar, light detection and ranging, national ocean service, noaa, north atlantic ocean, ocean, ocean basin, oceans, office of coastal management, remote sensing, saint croix, saint thomas, seafloor topography, submerged, terrain elevation, topographical relief maps, topography, u. s. virgin islands, u. s. virgin islands (17n064w0000), u.s. department of commerce, u.s. department of interior, u.s. geological survey, u.s. virgin islands, united states of america, virgin islands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Assessing Research Efforts and Emerging Issues Concerning Forage Fish Exposure to Paralytic Shellfish Toxins in Alaska - NERRS/NSC(NERRS Science Collaborative)

Harmful algal bloom (HAB) events are becoming more common in Alaska as ocean temperatures rise due to climate change. These events carry the risk of producing dangerous levels of HAB-derived toxins in the marine environment, including paralytic shellfish toxins (PSTs). PSTs pose a serious threat to uppertrophic populations (e.g., marine mammals, sea birds, predator fish), where a likely mechanism of delivery is via consumption of forage fish that have themselves been exposed to PSTs. Recent statewide occurrences, such as seabird die-off and marine mammal stranding events, have raised concerns about this pathway, highlighting a need to better understand its mechanisms. The issue is a lack of data-driven information regarding PST exposure levels in forage fish due to field data being difficult to obtain. This project sought to facilitate new collaborative science that addressed this issue by becoming better positioned to pursue future funding opportunities (phase I). Our approach was to conduct 'proof of concept' activities for the husbandry of Alaska forage fish species while simultaneously engaging with end users. We used these inputs to inform a proposal that would secure funds for continuation of this effort as a multi-year research project (phase II). As the only National Estuarine Research Reserve (NERR) in Alaska, the Kachemak Bay NERR was able to act as a collaborative platform bringing necessary expertise within Alaska and nationally to the planning table, as well as engage with end users to ensure that research findings met user needs at various scales.

Tags: ak, beach seine, community assemblage, doc/noaa/nos/ocm, earth science, harmful algal bloom (habs), kachemak bay nerr, monashka bay, national ocean service, nearshore fish, nerrs, noaa, oceans, office of coastal management, toxin concentration, u.s. department of commerce, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2016 NOAA NGS Topobathy Lidar DEM: Boca Grande, FL

These data were collected by NOAA using a Riegl VQ880G sensor. The data were acquired from May 11, 2016 through May 14, 2016. The data includes topobathy data in LAS 1.2 format classified as created, unclassified (1); ground (2); noise (7); bathymetric noise (22); water column (25); bathymetric bottom (26); water surface (27); International Hydrographic Organization S-57 object, not otherwise specified (30); in accordance with project specifications. The project consists of approximately 85 square miles of data along the shores of Boca Grande. This dataset contains 1,053 500 m x 500 m lidar tiles.

Tags: airplane, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, sea floor, 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
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Florida, East 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 Florida Panhandle, 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 Orange, Brevard, Osceola, Indian River, Okeechobee, St. Lucie, Seminole, Palm Beach and Martin Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2018 Florida Peninsular FDEM - Orange
      2. 2018 Florida Peninsular FDEM - Brevard
      3. 2018 Florida Peninsular FDEM - Osceola
      4. 2018 Florida Peninsular FDEM - Indian River
      5. 2018 Florida Peninsular FDEM - Okeechobee
      6. 2019 Florida Peninsular FDEM - St. Lucie
      7. 2018 Florida Peninsular - Seminole 
      8. 2018 Florida Peninsular FDEM - Martin
      9. 2017 Fort Drum Florida Lidar
      10. 2017 Palm Beach County, Florida Lidar
      11. 2017 Upper St Johns River Basin
      
      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: airplane, bathymetry/topography, brevard county, coastal elevation, coastal processes, continent, dem, digital elevation model, doc/noaa/nos/ocm, earth science, elevation, flooding, florida, indian river county, inundation, land surface, lidar, light detection and ranging, martin county, national ocean service, noaa, north america, oceans, office of coastal management, okeechobee county, orange county, osceola county, palm beach county, sea level rise, seminole county, st. lucie county, terrain elevation, topography, u.s. department of commerce, united states of america, us, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Florida, West 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 Florida, West 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 Charlotte, Desoto, Glades, Hernando, Hillsborough, Manatee, Pasco, Pinellas, and Sarasota Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2018 Florida Peninsular FDEM - Charlotte
      2. 2018 Florida Peninsular FDEM - Desoto
      3. 2018 Southwest FL Lidar (A, B, B TL)
      4. 2018 Florida Peninsular FDEM - Glades
      5. 2019 Florida Peninsular - Hernando
      6. 2017 Hillsborough County Florida Lidar
      7. 2018 Florida Peninsular FDEM - Manatee
      8. 2018 Pasco County Florida Lidar
      9. 2018 Florida Peninsular - Pinellas
    10. 2018 Florida Peninsular FDEM - Sarasota

      
      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: airplane, bathymetry/topography, charlotte county, coastal elevation, coastal processes, continent, dem, desoto county, digital elevation model, doc/noaa/nos/ocm, earth science, elevation, flooding, florida, glades county, hernando county, hillsborough county, inundation, land surface, lidar, light detection and ranging, manatee county, national ocean service, noaa, north america, oceans, office of coastal management, pasco county, pinellas county, sarasota county, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce