AndreaBozzo/ceres-open-data-index huggingface dataset:
Side-Scan_Sonar backscatter tiles for Hudson River, NY (.xtf)

Raw XTF files.  Sonar data were collected November 6 to December 15, 2009, in the estuary north from Saugerties to Troy.  Data Collection and Processing: The interferometric system used to measure acoustic reflectivity, provided a quantitative measure of reflectivity for every square meter of the survey area. Fugro's system measured and recorded acoustic reflectivity that has a high dynamic range such that the full range of reflectivity's encountered in the estuary environment can be recorded while maintaining a constant gain setting on the system receiver.  Reflectivity data from the GeoSwath was used to produce a normalized as well as a classified image of the bottom.  Additionally, Fugro provided slope, aspect and hillshade models as additional acoustic parameters. Backscatter data processing was completed with CARIS 7.0. Raw XTF files were created by converting Hypack format (*.HSX) into Triton format (*.XTF) using Hypack 2009a.
Original contact information: 
   Contact Name: John Ladd
   Contact Org: Hudson River National Estuarine Research Reserve, NYS DEC
   Phone: 845-889-4745
   Email: jxLadd@gw.dec.state.ny.us

Tags: acoustic reflectivity, aspect, backscatter, benthic, biosphere, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, hillshade, hudson river, marine ecosystems, national ocean service, new york, noaa, north america, office of coastal management, river, shallow water, side scan, slope, swath bathymetry, u.s. department of commerce, united states of america, usa, xtf
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sediment grab data from June 1995 in the inland bays of New York/New Jersey Harbor

Sediment grab samples were collected using a Shipek grab at pre-determined locations in the harbor. Grain size distributions and organic content were measured and used to assess sediment conditions in New York/New Jersey Harbor and to compare with sediment profile images taken at the same stations. All data were entered into a database, and the database was then used in a Geographic Information System (GIS) to characterize sediment environment in 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, 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 jersey, new york, new york harbor, newark bay, noaa, north america, northeastern u. s., ocm benthic habitat mapping, office of coastal management, sediment, sediment grab, sediment organics, u.s. department of commerce, united states of america, upper bay
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Maine Submerged Aquatic Vegetation Data 1993-1997 Geoform

Maine's eelgrass (SAV) meadows form an important aquatic habitat for the state. These meadows provide shelter for juvenile fish, and invertebrates. In certain locations they also help stabilize unconsolidated sediments and shorelines. Maine's Department of Marine Resources has mapped the SAV habitat for the entire coast using the Coastal Change Analysis Protocol. This mapping was accomplished from aerial photography acquired between 1993 and 1997. The unified coastal SAV data set is a composite of these multiple year data.  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: aquatic, benthic, biosphere, casco bay, cmecs, coastal, coastal and marine ecological classification standard, coastal maine, continent, doc/noaa/nos/ocm, earth science, ecosystems, eelgrass, englishman bay, environmental monitoring, estuary, frenchman bay, geoform component, habitat, maine, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, penobscot bay, sav, seagrass, spill, subtidal, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Watershed Stewardship in Action: Deaf Students on the Estuary (WADE) - NERRS/NSC(NERRS Science Collaborative)

After receiving training, participating teachers will infuse the curriculum in their classes and bring their students to the reserve in their state for an estuary field study experience. The American Sign Language STEM module will be embedded in the new ASL Clear, an online STEM educational resource made possible through funding from the Massachusetts Department of Elementary and Secondary Education, and developed by researchers at the Boston University School of Education and The Center for Research and Training at The Learning Center for the Deaf. The modules will be posted online for future use by other teachers of the deaf and hard of hearing, as well as for American Sign Language interpreters. This project has great potential to produce systemic change for deaf and hard of hearing students, their teachers, and interpreters on issues related to watersheds and coastal/marine habitats, furthering the Science Collaborative's goal to address critical management issues identified by the reserves in order to improve the long-term stewardship of the nation's resources.

This science transfer project was funded by NOAA through the National Estuarine Research Reserve System Science Collaborative to promote the use of science. It did not produce any new data.

Tags: biosphere, coastal, coastal processes, curriculum support, deaf, doc/noaa/nos/ocm, earth science, earth science services, ecosystems, education/outreach, estuaries, fluvial landforms, geomorphic landforms/processes, land surface, ma, marine ecosystems, national ocean service, nerrs, noaa, oceans, office of coastal management, stem, u.s. department of commerce, waquoit bay nerr, watershed/drainage basin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Alamagan, 2007

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 Alamagan, CNMI.

Tags: airplane, alamagan, 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
Sediment Grab Data from September 2001 in Wells, Maine (wellssedgrabs)

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 sediment grain size and organic content information gathered from grab sampling.
Original contact information: 
   Contact Name: Dr. Michele Dionne
   Contact Org: Wells National Estuarine Research Reserve
   Phone: (207) 646-1555

Tags: benthic, biosphere, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information system, gis, grain size, maine, marine ecosystems, national ocean service, noaa, north america, office of coastal management, sediment, sediment grab, u.s. department of commerce, united states of america, webhannet river, wells, york, york river
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Maine based on 2000 Census Block Groups

This data depicts the social vulnerability of Maine 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, maine, 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
C-CAP Land Cover, Puerto Rico, 2010

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 2010 CIR imagery provided by the United Stated Army Corps of Engineers.

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, puerto rico, remotely sensed imagery/photos, u.s. department of commerce, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Tinian 2006

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 upto 4 additional scenes were used to replace cloud obscured areas within the base imagery both scenes were processed to detect C-CAP land cover features on Tinian, CNMI.

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
1946 Commonwealth of the Northern Mariana Islands Historical Scanned Imagery

These images are part of a project funded by NOAA Office for Coastal Management to develop a high quality, user-friendly, attributed, centralized, multi-territorial digital database of georeferenced historic aerial imagery in the Pacific Islands region, including Hawaii, American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands. The objective of this project is to make previously unavailable historic aerial imagery of the Pacific Islands available for public consumption through NOAA's Digital Coast website. These images were scanned on a flatbed scanner and georeferenced to existing basemap data.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aerial, airplane, cameras, coastal, doc/noaa/nos/ocm, earth science, historical, imagery, infrared imagery, infrared wavelengths, micronesia, mosaic, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, photograph, rectified image, remotely sensed imagery/photos, scanned imagery, spectral/engineering, u.s. department of commerce, visible imagery, visible wavelengths, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2019 NOAA Topobathy Lidar DEM (Voids): Morro Bay, CA

These data represent integrated lidar and sonar gridded surface data.  Quantum Spatial, Inc. (QSI) collected the topobathymetric lidar using a Riegl VQ880GII system on May 22, 2019. Merkel and Associates collected sonar data to provide bathymetric surface modeling in areas lacking lidar coverage. The sonar was collected between June 17th-19th, 2019 using a SEA SWATHplus-H sonar system.  QSI performed the lidar/sonar integration. The dataset includes topobathy data in a LAS 1.4 format file with the following classification:1-Unclassified, 1-O (Overlap bit) - Edge clip (geometrically unreliable points at the edge of flightline swaths), 2-Ground, 7-Noise, 9-NIR water surface, 20-Ignored ground and sonar (excluded for seamless model creation), 40-Bathymetric point, 41-Green laser water surface,and 45- Green laser water column in accordance with project specifications. Sonar data has been assigned a Point Source ID of 9 and a User Byte of 2. All other data is lidar-derived. The NOAA Morro Bay area of covers approximately 4,215 acres over Morro Bay, including the Morro Bay Estuary and roughly 3.6 miles of coastline. LAS files were compiled by 500 m x 500 m tiles.

An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing. Classes 2 (ground), and 40 (submerged topography) were used to create the final DEMs. The full workflow used for this project is documented in the NOAA Morro Bay final report.

Void DEM dataset- A void shapefile was created to indicate areas where there was a lack of bathymetric returns. This shape was created by triangulating bathymetric bottom points with an edge length maximum of 4.56m to identify all areas greater then 9 square meters without bathymetric returns. This shapefile was used to exclude interpolated elevation data from this dataset.

Tags: airplane, bathymetry, bathymetry/seafloor topography, beach, coastal bathymetry, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, sea floor, sonar, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2016-2017 NOAA NGS Topobathy Lidar DEM: Coastal South Carolina

These data were collected by Quantum Spatial, Inc. (QSI) for the National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Devision (RSD), Coastal Mapping Program (CMP) using a Riegl VQ880G system. The Delivery 1 and Delivery 2 (D1/D2) data were acquired from 20161203 - 20170301 in nine missions. The missions were flown on 20161203, 20161209, 20161210, 20161228, 20161229, 20161230, 20170105, 20170228, and 20170301.  The Delivery 3 (D3) data were acquired from 20161002 - 20170219 in fifteen missions. Data acquired on 10/02, pre-Hurricane Matthew, was only used to fill a small gap in data entirely over water where no bathymetric coverage was achieved.   The Delivery 4 (D4) data were acquired from 20161211 - 20170204 in thirteen missions.  The Delivery 5 (D5) data were acquired from 20170112 - 20170204 in eleven missions.   The Delivery 6 (D6) data were acquired from 20161203 - 20170301 in eleven missions. The Delivery 7 (D7) data were acquired from 20170212 - 20170221 in eight missions.  The Delivery 8 (D8) data were acquired from 20170218 - 20170227 in six missions.

Tags: 20161203, 20170301, atlantic ocean, bathymetry, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, country/territory, dems, doc/noaa/nos/ocm, earth science, geographic information, land surface, lidar, national ocean service, noaa, north america, ocean basin, oceans, office of coastal management, south carolina, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2004 C-CAP Land Cover, Territory  of  American Samoa,  Swains

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 and was analyzed to detect C-CAP land cover features on Swains, American Samoa.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, 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, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, swains, u.s. department of commerce, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Pennsylvania

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 Pennsylvania 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 Bucks, Delaware, Montgomery, and Philadelphia Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2015 Delaware Valley 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, bucks county, coastal processes, continent, delaware county, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, land surface, lidar, montgomery county, national ocean service, noaa, north america, office of coastal management, pennsylvania, philadelphia county, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: San Diego (CA) 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 San Diego, CA Weather Forecast Office (WFO), as defined by the NOAA National Weather Service. The DEM is derived from LiDAR data collected for the California Coastal Conservancy between 2009 and 2011. The DEM extent includes San Diego and Orange counties. 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, national ocean service, noaa, north america, office of coastal management, orange county, san diego county, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Farallon de Medinilla, 2004

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 which was processed to detect C-CAP land cover features on Farallon de Medinilla, CNMI.

Tags: airplane, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, farallon de medinilla, 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
C-CAP Big Island, Hawaii 2005-2010 Land Cover Change Analysis

This data set contains the 2005 and 2010 classifications of Big Island and can be used to analyze change. This data set utilized utilized 7 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Big Island C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: airplane, big island, c-cap, cameras, central pacific ocean, change detection analysis, coastal zone, continent, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, hawaii, hawaii island, hawaiian islands, 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, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, united states of america, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce