AndreaBozzo/ceres-open-data-index huggingface dataset:
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Rota  2005

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, rota, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
San Francisco Bay Multi-beam Backscatter Imagery: Area A

Backscatter imagery data were collected over shallow subtidal areas in the San Francisco Bay estuary system.  Bathymetric and acoustic backscatter data were collected simultaneously in 84 survey blocks.  Seventy five of these blocks were surveyed with 100% cover of backscatter imagery and nine blocks were surveyed with 50% backscatter coverage.  These data were collected as source material for planned benthic habitat mapping.  An earlier project had been completed to map the very-shallow subtidal and intertidal areas.  These mosaics were collected with the Reson Seabat 7101 multibeam sonar system in the San Francisco Bay. For this San Francisco Bay habitat mapping project, seven survey blocks were acquired with the Reson 7101 sonar, as these seven areas contained water depths that were predominantly deeper than 20 meters.
Original contact information: 
   Contact Name: Jen Eckerle
   Contact Org: California Ocean Protection Council (OPC)
   Title: Deputy Director, OPC
   Phone: 916-653-9416
   Email: jen.eckerle@resources.ca.gov

Tags: benthic, biosphere, california, california ocean protection council, california seafloor mapping program (csmp), coastal, continent, contra costa county, doc/noaa/nos/ocm, earth science, ecosystems, estuary, marin county, marine ecosystems, multibeam backscatter imagery, national ocean service, noaa, north america, office of coastal management, reson seabat 7101, san francisco bay, san francisco county, san mateo county, solano county, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2003 Benthic Grab Data for Catlett and Goodwin Islands on the York River in Chesapeake Bay, Virginia (Ches_2003benthos)

This data set represents the benthic community information gathered from grab sampling in 2003 (24 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: amphipoda, amphipods, benthic, benthos, biosphere, bivalves, bivalvia, catlett island, chesapeake bay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, gastropoda, gastropods, geographic information systems, gis, goodwin island, infauna, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, oligochaeta, oligochaetes, phoronidae, phoronids, polychaeta, polychaetes, sediment, sediment grab, u.s. department of commerce, united states of america, virginia, york river
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Aransas Bay 2004 Biotic

In 2006 and 2007 the NOAA Office for Coastal Management purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays. The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A and M University Center for Coastal Studies to develop benthic habitat data, primarily Submerged Aquatic Vegetation (SAV) for several coastal bays.  This data will support the state's recently adopted Seagrass Monitoring Program which calls for regional mapping of SAV for status and trends assessment.  The Center, Texas A and M, and TPWD have coordinated on the requirements of this project.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitat, biosphere, biotic component, cmecs, coastal, coastal and marine ecological classification standard, continent, digital map, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, habitat classification, marine ecosystems, national ocean service, noaa, north america, office of coastal management, seagrass, submerged aquatic vegetation, texas, texas seagrass monitoring program, tx, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Snohomish County, Washington, 2016

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

Tags: airplane, c-cap, cameras, coastal zone, continent, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, north america, office of coastal management, remotely sensed imagery/photos, snohomish county, u.s. department of commerce, united states of america, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Offshore State Lateral Boundaries

Offshore state lateral boundaries define part of the geographic extent of the submerged lands that a state holds and manages in the public trust. Well-defined boundaries help a state manage its natural resources and statutory obligations with a measured amount of certainty. However, state lateral boundaries, both on land and at sea, have not always been stable and well defined. The historic record often shows conflicting borders that have led to interstate disagreements, court cases, and in some instances lingering stalemates.

These data show the approximate position of a states offshore lateral boundary based on official and unofficial sources. Some boundaries have been omitted when a sufficient data source could not be found.

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
Childhood Lead Poisoning: Incidence by Year

As of January 1, 2009, Connecticut law mandates that medical providers must conduct annual lead screening (i.e., blood lead testing) for each child 9 to 35 months of age. Furthermore, the law requires that any child between 36-72 months of age who has not been previously tested must also be tested by the child’s medical provider, regardless of risk.

Tags: childhood-lead-poisoning
Organization: State of Connecticut
Sustainable Shorelines for New York's Hudson River - NERRS/NSC(NERRS Science Collaborative)

Several reserves collaborated to develop the Climate Change Vulnerability Assessment Tool for Coastal Habitats. The tool helps decision makers evaluate a habitatâs vulnerability to climate change and prioritize it for conservation or restoration. South Carolinaâs North Inlet-Winyah Bay Reserve and the Chesapeake Bay Virginia Reserve worked with local partners to refine and pilot this tool and share it with the national reserve system.

Tags: biosphere, doc/noaa/nos/ocm, earth science, ecosystems, estuary, hudson river, living shoreline, marine ecosystems, national ocean service, nerrs, noaa, ny, office of coastal management, sea level rise, shoreline armoring, shoreline management, shoreline stabilization, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: American Samoa

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 Pago Pago Weather Service (PPG WSO) 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 Pago Pago WSO, which includes the following islands in American Samoa: Tutuila, Aunu'u, Ofu, Olosega, Tau, and Rose Atoll.  The DEM is derived from the following source. 1. 2012 American Samoa Lidar - acquired by NOAA and partners  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 American Samoa Vertical Datum of 2002 (ASVD02) with vertical units of meters and horizontally to the North American Datum of 1983 (PACP00). The resolution of the DEM is 3 meters.

Tags: american samoa, bathymetry/topography, central pacific ocean, coastal processes, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, land surface, leone, lidar, national ocean service, noaa, ocean, office of coastal management, pacific ocean, pago pago, sea level changes, sea level rise, terrain elevation, topography, tutuila, u.s. department of commerce, us, utulei
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitats of Florida Bay, FL 1991-1995 Geoform

In the winter of 1991/92 the National Oceanic and Atmospheric Administration's Office for Coastal Management's Coastal Change Analysis Program (C-CAP) and the State of Florida commissioned the National Ocean Service's Photogrammetry Unit, the National Geodetic Survey (NGS), to acquire conventional color metric aerial photography of Florida Bay suitable for interpretation of photic benthic habitats (scale of 1:48,000). Additional photography was acquired by NGS in 1995 to cover areas of the bay that were not interpretable due to turbidity and glare during the original mission. The imagery was collected according to stringent parameters detailed in the C-CAP protocol (https://coast.noaa.gov/crs/lca/ccap.html). The original photographic diapositives were interpreted by two ecologists, familiar with the local environment.  The benthic signatures were interpreted from the photography using Bausch and Lomb Zoom Stereoscopes and Richards Light Tables.  The boundaries of each unique signature were delineated on acetate overlays and assigned one of 20 habitat classes. Only the central 'sweet spot' of each frame was interpreted to minimize the effects of sun glint. An ecologist at the Florida Marine Research Institute (FMRI) conducted thematic quality assurance and control. Following interpretation, Office for Coastal Management staff scanned the aerial photos, with the interpreted acetate overlays attached, using a photogrammetric quality scanner (AGFA Horizon Plus) at a resolution of 600 dpi resulting in a pixel resolution of 2.03 meters.  The resulting image file was rectified (second order bilinear interpolation) using ERDAS Imagine software. Ground control points were selected from features common to digital orthophotoquads of Florida Bay. The interpreted polygon habitats were digitized into an ARC coverage from the rectified files using ERDAS Imagine software's vector module. In 1999, the final edits and quality control of the habitat polygons were completed. The coverage and shoreline were edge matched to the Benthic Habitats of the Florida Keys Atlas to complete the coverage, as the dates of photography, methodology and classification system used were the same.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitats, biosphere, cmecs, coastal, coastal and marine ecological classification standard, continent, corals, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, field verification, florida, florida bay, geoform component, image rectification, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, photo-interpretation, seagrass, submerged aquatic vegetation, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
R-Factor for the Island of Hawaii

The rainfall-runoff erosivity factor (R-Factor) quantifies the effects of raindrop impacts and reflects the amount and rate of runoff associated with the rain. The R-factor is one of the parameters used by the Revised Unified Soil Loss Equation (RUSLE) to estimate annual rates of erosion. This product is a raster representation of R-Factor derived from isoerodent maps published in the Agriculture Handbook Number 703 (Renard et al.,1997). Lines connecting points of equal rainfall ersoivity are called isoerodents. The iserodents plotted on a map of the Island of Hawaii were digitized, then values between these lines were obtained by linear interpolation. The final R-Factor data are in raster GeoTiff format at 30 meter resolution in UTM, Zone 4, GRS80, NAD83.

Tags: agriculture, central pacific ocean, coastal zone, continent, doc/noaa/nos/ocm, earth science, environmental monitoring, erosion, erosion/sedimentation, hawaii, hawaii island, hawaii volcanoes national park, hawaiian islands, hilo, kilauea, kona, land surface, mauna kea, mauna loa, national ocean service, noaa, north america, ocean, office of coastal management, opennspect, pacific ocean, r-factor, rainfall-runoff erosivity, revised universal soil loss equation, runoff, rusle, rusle2, soil erosion, soils, surface water, surface water processes/measurements, terrestrial hydrosphere, 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: South Carolina South

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 South Carolina South 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 Beaufort, Colleton and Jasper Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2017 NOAA NGS Topobathy DEM: Coastal South Carolina
      2. 2013 SC DNR Lidar DEM: Beaufort County, SC
      3. 2007 SC DNR Lidar DEM: Colleton County, SC 
      4. 2007 SC DNR Lidar DEM: Jasper County, SC 
      5. 2007 SC DNR Lidar DEM: Hampton County, SC
      
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, beaufort county, coastal processes, colleton county, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, jasper county, land surface, lidar, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, south carolina, terrain elevation, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Lanai 2005 era High Resolution Land Cover Metadata

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 17 full or partial Quickbird multispectral scenes which were processed to detect C-CAP land cover features on the island of Lanai.

Tags: airplane, c-cap, cameras, central pacific ocean, coastal zone, continent, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, hawaii, hawaiian islands, lanai, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, maui county, 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
Humboldt Bay, California Benthic Habitats 2009 Biotic

Humboldt Bay is the largest estuary in California north of San Francisco Bay and represents a significant resource for the
      north coast region.  Beginning in 2007 the Office for Coastal Management began collaborating with the California SeaGrant program and
      other local partners to support an ecosystem-based management (EBM) project for Humboldt Bay.  One element of this project was to
      develop subtidal habitat goals for the long-term management of the bay and provide a framework for conservation and management across
      the land-sea interface. The imagery collection and benthic habitat delineation for Humboldt Bay were essential to the development of
      subtidal goals and implementation of EBM for the region. Together, these efforts will provide important and replicable data and an
      information framework for ecosystem-based coastal and marine conservation planning and implementation. 12 Bit 4 Band imagery was
      collected in June,2009 within 1 hour of either side of a minus one (-1) foot tide with low turbidity,low wind,low sun angle and no cloud cover. The horizontal spatial accuracy of the imagery is within +/- 3 meters CE95 of position on the ground and was captured at a spatial resolution (pixel size) of 0.54m x 0.54m. The imagery was tiled and named according to the existing USGS digital ortho quarter quad boundaries (ex. Arcata_South_NE.tif). A small buffer (~100 m) was produced with each tile to prevent gaps in coverage. Habitat features were interpreted and digitized on screen in an ARCGIS Geodatabase 9.3 resulting in accurate and efficient 3D extraction of the data. Habitats were delineated with a high level of detail with the minimum mapping unit (MMU) being 0.01 hectares(approx.10m x 10m).
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: arcata bay, benthic, biosphere, biotic component, california, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, eel river delta, entrance bay, environmental monitoring, estuary, habitat, humboldt bay, marine ecosystems, national ocean service, noaa, north america, office of coastal management, south bay, u.s., u.s. department of commerce, uc sea grant, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce