AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Medford WFO

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 DEM includes best available lidar data known to exist at the time of DEM creation that meets project specifications for those counties within the boundary of the Medford, OR Weather Forecast Office (WFO), as defined by the NOAA National Weather Service. The DEM is derived from LiDAR datasets collected for the Oregon Department of Geology and Mineral Industries (DoGAMI). LiDAR data for Curry, Coos and Douglas counties was collected for DoGAMI in 2008-2009. Hydrographic breaklines used in the creation of the DEM were delineated using LiDAR intensity imagery generated from the DoGAMI datasets. 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, coastal processes, continent, coos county, curry county, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, douglas county, earth science, elevation, flooding, geomorphic landforms/processes, inundation, land surface, lidar, national ocean service, noaa, north america, office of coastal management, oregon, 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
Delaware Bay Upper Shelf Bottom Sediments 2008-2010

The Coastal Program of Delaware's Division of Soil and Water conservation (DNREC), the University of Delaware, Partnership for the Delaware Estuary, and the New Jersey Department of Environmental Protection have partnered and are carrying out a bottom and sub-bottom imaging project to identify and map the benthic habitat and sub-bottom sediments of Delaware Bay and River.  This project was initiated to better understand the distribution of bottom sediment types, habitat biodiversity, and most importantly, human's impact on the bay bottom and its living resources.  The project integrates the use of three types of acoustical systems: Roxann Seabed classification system, chirp sub-bottom profiling, and multi-beam bathymetric mapping.  Verification of the acoustic data with bottom and sub-bottom sediments is performed through the collection of bra banc core samples and underwater video images.
Original contact information: 
   Contact Name: Bartholomew Wilson
   Contact Org: Delaware Coastal Program (DNREC)
   Phone: 302-739-9283

Tags: benthic, benthic habitat, biosphere, bottom sediments, coastal, continent, delaware, delaware bay, delaware river, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, marine ecosystems, national ocean service, new jersey, noaa, north america, office of coastal management, sediment water interface, state of delaware, state of new jersey, surface sediment mapping, u.s. department of commerce, united states of america, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2014 Grady County, GA DMC 4-Band 8 Bit Imagery

This data set consists of one-foot pixel resolution, natural color orthoimages covering the urban area footprint.  An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map.  Each orthoimage provides imagery over a 5000-foot by 5000-foot block on the ground. There is no image overlap between adjacent files. The projected coordinate system is Georgia State Plane West (FIPS 1002) feet with a NAD83 datum.

Tags: 12 inch orthoimage, airplane, cameras, continent, doc/noaa/nos/ocm, earth science, ga, georgia, image map, imagery, infrared imagery, infrared wavelengths, national ocean service, natural color orthophoto, noaa, north america, office of coastal management, orthoimage, orthophoto, rectified image, rectified photograph, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Commercial Vessel Density October 2009-2010 AIS UTM17

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 17N.  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
2013 NOAA Oahu Topographic Lidar

The Oahu, Hawaii Elevation Data Task Order involves collecting and delivering topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements on the island of Oahu in Hawaii.  The Statement of Work (SOW) for the area covering the northern 2/3 of Oahu was developed by the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management. A separate but related task order was issued by the USGS National Geospatial Technical Operations Center (NGTOC), under their Geospatial Products and Services Contract (GPSC), to leverage the same resources committed to the NOAA LiDAR project for the acquisition of LiDAR data in the southern 1/3 portion of Oahu.  The combined task orders yielded one study area covering the entire island of Oahu.  The data collected for the island of Oahu will exhibit Hydro Flattened DEMs for inclusion into the NED. The purpose of the data is for use in coastal management decision making, including applications such as flood plain mapping and water rights management.  The point density for this data set was specified in the SOW at 1.15 pts/m2. The NOAA Office for Coastal Management tested the NPS (nominal pulse spacing) for this data set in April 2015. The NPS was determined to be 0.84 m. The data used in the NPS determination were the first returns of classes 1,2,9, and 10.

Tags: bathymetry/seafloor topography, central pacific ocean, coastal elevation, coastal processes, continent, country/territory, doc/noaa/nos/ocm, earth science, geographic information, hawaii, hawaiian islands, honolulu, land surface, lidar, national ocean service, noaa, north america, oahu, oahu (21n157w0003), oahu island, ocean, ocean basin, oceans, office of coastal management, pacific ocean, seafloor topography, surface, terrain, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2005 Hancock and Jackson Counties, Mississippi LiDAR

This metadata record describes the topographic mapping of Hancock and Jackson Counties, Mississippi during 2005.
Using a combination of laser rangefinding, GPS positioning and inertial measurement technologies; LIDAR instruments are able
to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. This data
was collected at submeter resolution to provide nominal 5m spacing of collected points. Multiple returns were recorded for each
pulse in addition to an intensity value using a Leica ALS-50 Aerial Lidar Sensor.

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, hancock county, jackson county, land surface, lidar, mississippi, 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, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2000 Spring North Carolina NOAA/USGS/NASA Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected in February and March 2000 and covers coastlines in the state of North Carolina.
Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground
elevation and coastal topography. 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 beach at approximately 60 meters per second while surveying from
the low water line to the landward base of the sand dunes. The ATM system is a single return green laser and water returns are from the surface. A significant amount of the flight lines from this data set are over water.

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, north carolina, 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
2016 NOAA Topobathy Lidar DEM: Upper Lake Michigan Islands

This digital elevation model (DEM) was created from data 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), submerged topography (40), water surface (41), derived water surface (42), no bottom found (45) in accordance with project specifications. Data that was classed as ground (2) and submerged topography (40), were used to create the 2 meter DEMs. This dataset contains 3,361 500 m x 500 m lidar tiles.                                                                                                                                                                                                    In addition to the DEM data, the classified lidar point data that these DEMs were created from are also available. The data are available from the NOAA Digital Coast at: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5182
Original contact information: 
   Contact Org: NOAA Office for Coastal Management (OCM)
   Phone: 843-740-1202

Tags: 20151116, 20151117, 20151129, 20151130, 20151204, 20151205, 20160602, 20160603, bathymetry, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, land surface, michigan, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitat Mapping - Indian River Lagoon, Florida Submerged Aquatic Vegetation (SAV) Data 1996 Substrate

The NOAA Office for Coastal Management's Coastal Change Analysis Program, in cooperation with the St. Johns River and South Florida Water Management Districts, used the C-CAP protocol to map SAV and other benthic habitat in Indian River. The project incorporated underwater videography, field point observations, and transect data. Analytical photogrammetry was used to accomplish the mapping. 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."
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: algae, banana river, benthic, biosphere, cape canaveral, change, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, florida, hobe sound, indian river lagoon, jupiter sound, marine ecosystems, mosquito lagoon, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, photogrammetry, sav, seagrass, substrate component, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Rota 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 3 full Worldview-2 multispectral scenes dated between 9-18-2014 and 12-11-2014. An additional 2 scenes dated between 12-13-2015 and 1-20-2016 were 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, rota, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2013 NOAA Topographic Lidar: U.S. Virgin Islands (St. Croix, St. John, St. Thomas)

The United States Virgin Islands Topographic LiDAR project collected topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements on the islands of St. Thomas, St. John, St. Croix and numerous smaller islands and islets in the United States Virgin Islands. The islands of St. Thomas and St. John were acquired between November 9, 2013 and November 19, 2013. The island of St. Croix was acquired between November 27, 2013 and December 10, 2013. The entire area was comprised of 88 planned flight lines and approximately 1669 flight line kilometers. LiDAR was collected at an average of 0.7 meter point spacing for all acquired project areas. The classification classes as available from the NOAA Digital Coast are: 1 (Unclassified), 2 (Bare-earth ground), 7 (Noise), 9 (Water), 10 (Ignored Ground, points close to breakline features), 16 (Overlap Water), 17 (Overlap Unclassified), 18 (Overlap Bare-earth ground). Hydro flattened breaklines and Digital Elevation Models (DEMs) are also available for download. Please see the Supplemental Information field below for links to these data sets.

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

Tags: atlantic ocean, bathymetry/seafloor topography, caribbean sea, coastal elevation, coastal processes, country/territory, doc/noaa/nos/ocm, earth science, land surface, lesser antilles, lidar, national ocean service, noaa, north atlantic ocean, ocean, ocean basin, oceans, office of coastal management, point cloud data, seafloor topography, terrain elevation, topographical relief maps, topography, u. s. virgin islands, u. s. virgin islands (17n064w0000), u.s. department of commerce, united states of america, virgin islands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2016 Newton County, Georgia ADS100 4-Band 8 Bit Imagery

This data set consists of 0.5-foot pixel resolution, natural color orthoimages covering Newton County, Georgia.  An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map.  Each orthoimage provides imagery over a 2,500-foot by 2,500-foot block on the ground. There is no image overlap between adjacent files. The projected coordinate system is Georgia State Plane West (FIPS 1002) feet with a NAD83 datum.
				A secondary set of GeoTIFF tiles, MrSID tiles, and MrSID mosaic was produced in WGS84 Lat/Long.

Tags: 0.5 foot orthoimage, 6 inch orthoimage, airplane, cameras, continent, doc/noaa/nos/ocm, earth science, ga, georgia, image map, imagery, infrared imagery, infrared wavelengths, national ocean service, natural color orthophoto, noaa, north america, office of coastal management, orthoimage, orthophoto, rectified image, rectified photograph, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Tampa, Florida, 2021

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 through time. The timeframe for this metadata is summer 2021. These maps are developed utilizing high resolution aerial imagery, along with lidar and various available ancillary information, and can be used to track changes in the landscape through time. 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.

Tags: 2021, airplane, c-cap, cameras, ccap, coastal zone, doc/noaa/nos/ocm, earth science, fl, florida, hillsborough, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, manatee, national ocean service, noaa, office of coastal management, pasco, pinellas, polk, remotely sensed imagery/photos, sarasota, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
U.S. Wave by Month

These data depict a wave energy resource characterization for the US Exclusive Economic Zone.  This climatology is based on a multi-resolution 32 year hindcast that used the WaveWatchIII and Simulating WAve Nearshore (SWAN) wave models. A collection of five variables are reported at the annual and monthly intervals. Statistics for each variable are provided as point and hexagon features.

Tags: coastal, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, human dimensions, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, planning, renewable energy, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Eureka (CA) WFO - Humboldt and Del Norte Counties

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 - Humboldt and Del Norte counties. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Humboldt and Del Norte counties, 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, del norte county, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, humboldt 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