AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Louisiana Central North

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 Louisiana Central North 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 Evangeline, Pointe Coupee, St. Landry, and West Feliciana Parishes.
      
The DEM was produced from the following lidar data sets:
      1. 2012 - 2013 USGS Louisiana Lidar: Atchafalaya Basin
      2. 2006 LA Statewide 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, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, evangeline parish, flooding, geomorphic landforms/processes, inundation, land surface, lidar, louisiana, national ocean service, noaa, north america, office of coastal management, pointe coupee parish, sea level changes, sea level rise, st. landry parish, terrain elevation, topography, u.s. department of commerce, united states of america, west feliciana parish
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
R-Factor for the Island of Maui

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 Maui 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, haleakala national park, hana, hawaii, hawaiian islands, kahoolawe, kahului, kihei, lahaina, land surface, maui, molokini, 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, wailuku
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Wisconsin based on 2000 Census Block Groups

This data depicts the social vulnerability of Wisconsin 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, 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, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Louisiana Delta

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 Louisiana Delta 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 Jefferson, Orleans, Plaquemines, St. Bernard, St. Charles, and St. John the Baptist Parishes.
      
The DEM was produced from the following lidar data sets:
      1. 2017 Upper Delta Plain LA Lidar
      2. 2015 South Terrebonne Lidar
      3. 2013 USGS Louisiana Barataria Lidar
      4. 2013 USGS/NPS Jean Lafitte Lidar
      5. 2011 USGS Louisiana Coastal Lidar Project (ARRA Region 2)
      
The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Tags: bathymetry/topography, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, inundation, jefferson parish, land surface, lidar, louisiana, national ocean service, noaa, north america, office of coastal management, orleans parish, plaquemines parish, sea level changes, sea level rise, st. bernard parish, st. charles parish, st. john the baptist parish, terrain elevation, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, National Estuarine Research Reserve, Wells, Maine, 2012

This data set consists of land cover derived from high resolution orthoimagery, LiDAR data and ancillary data sources such as National Wetlands Inventory, and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol. This data set was developed through a collaboration between the Wells, Maine, National Estuarine Research Reserve and the NOAA Office for Coastal Management.

Tags: airplane, c-cap, cameras, continent, 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, maine, national estuarine research reserve, national ocean service, noaa, north america, office of coastal management, remotely sensed imagery/photos, u.s. department of commerce, united states of america, wells, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Kauai, Hawaii 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 43 full Quickbird multispectral scene which was processed to detect C-CAP land cover features on the island of Kauai.

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, kauai, kauai county, land cover, 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
American Community Survey (ACS) 5-Year Estimates for Coastal Geographies

The American Community Survey (ACS) is an ongoing statistical survey that samples a small percentage of the population every year. These data have been apportioned to 13 coastal geographies, and contain detailed demographic, social, economic, and housing characteristics. They represent 5-year estimates derived from the ACS Block Group summary files. Detailed information on the ACS data can be found at the Census Bureau's American Community Survey website and in their researcher's guide entitled, "A Compass for Understanding and Using American Community Survey Data".  Detailed information on the geographies the data are available for can be found here: https://coast.noaa.gov/data/digitalcoast/pdf/qrt-american-community-description.pdf

Tags: age, block group, coastal areas, coastal counties, continent, demographic, doc/noaa/nos/ocm, earth science, economic, hazard mitigation/planning, household income, human dimensions, human settlements, income distribution, national ocean service, noaa, north america, office of coastal management, population, population estimates, poverty levels, racial and ethnic compositions, social behavior, socioeconomics, time series demographic, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Copano Bay 2004 Geodatabase

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, geoform component, habitat classification, marine ecosystems, national ocean service, noaa, north america, office of coastal management, seagrass, submerged aquatic vegetation, substrate component, 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
Coastal Bend Texas Benthic Habitat Mapping Corpus Christi Bay 2004 Geoform

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, cmecs, coastal, coastal and marine ecological classification standard, continent, digital map, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geoform component, 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
1980 Sheboygan County, WI NOAA Black & White 8 Bit Imagery

Historic aerial imagery for the Great Lakes shoreline of Lake Michigan was provided by the Bay-Lake Region Planning Commission (BLRPC). This imagery was captured in November 1980 by Aero-Metric Engineering, Inc. and archived by the BLRPC by Range/Township on mylar sheets at a scale of 1"=800'. Under contract to NOAA, Dewberry obtained the mylar sheets from BLRPC, scanned them at 600 DPI, and georeferenced the scanned images.

Tags: airplane, black and white, cameras, continent, doc/noaa/nos/ocm, earth science, glri, great lakes restoration initiative, historical, imagery, infrared imagery, infrared wavelengths, national ocean service, noaa, north america, office of coastal management, orthoimage, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths, wi, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA's Coastal Change Analysis Program (C-CAP) 1985 Regional Land Cover Data - Coastal United States

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, on a one-to-five year repeat cycle. The timeframe for this metadata is reported as 1985-Era, but the actual dates of the Landsat imagery used to create the land cover may have been acquired a few years before or after each era.  These maps are developed utilizing Landsat Thematic Mapper 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: c-cap, cameras, ccap, coastal change analysis program, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, human dimensions, illinois, indiana, land cover analysis, land management, land surface, land use classes, land use/land cover, land use/land cover classification, landsat, michigan, minnesota, national ocean service, noaa, north america, office of coastal management, ohio, remotely sensed imagery/photos, u.s., u.s. coastal zone, u.s. department of commerce, united states of america, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: New Jersey, Middle

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 New Jersey, Middle 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 Burlington, Mercer, Monmouth, and Ocean Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2019 New Jersey South Jersey FEMA
      2. 2019 NJ Southern NJ
      3. 2015 USGS Delaware Valley
      4. 2014 NGS Coastal Mapping Program Topobathy Lidar: Post-Sandy Atlantic Seaboard
      5. 2014 USGS New Jersey CMGP Sandy

      
      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: bathymetry/topography, burlington county, 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, mercer county, monmouth county, national ocean service, new jersey, noaa, north america, ocean county, 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
2010 Hudson River Shallow Water Sediment Cores

The Hudson River Shallow Water Mapping project characterizes the bottom of the Hudson River Estuary in shallow water (<3 m). The characterization includes acoustic data and bottom verification through sediment cores and grabs. Sediment cores and grabs for the zone of the Hudson River between Troy, NY and Saugerties, NY were collected in April 2010 by scientists of Lamont-Doherty Earth Observatory operating as sub-contractors of Fugro Atlantic. Samples were collected using the D. Prichard, a Stony Brook University vessel and analysed and archived at Lamont Doherty. This data set describes details of the sediment grabs. The grab samples were described in the field.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, biosphere, clay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information systems, gis, gravel, hudson river, marine ecosystems, national ocean service, new york, new york state, noaa, north america, northeast, ocm benthic habitat mapping, office of coastal management, sand, sediment, sediment core, silt, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1954 Hawaiian 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, continent, doc/noaa/nos/ocm, earth science, hawaii, historical, imagery, infrared imagery, infrared wavelengths, mosaic, national ocean service, noaa, north america, office of coastal management, photograph, rectified image, remotely sensed imagery/photos, scanned imagery, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Commercial Vessel Density October 2009-2010 AIS UTM11

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 11N.  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