AndreaBozzo/ceres-open-data-index huggingface dataset:
1999 RoxAnn Data Points from Apalachicola Bay, Florida

The Apalachicola Bay National Estuarine Research Reserve and the NOAA Office for Coastal Management worked together to map benthic habitats within Apalachicola Bay, Florida. The bay and the lower portions of four distributaries were surveyed on 11-22 October 1999 using three benthic sampling techniques.  This data set represents the information gathered from a RoxAnn acoustic sensor. The instrument was used to characterize bottom type by extracting data on bottom roughness and bottom hardness from the primary and secondary sounder echoes. The data is classified on-the-fly, using the Sediment Profile Images and grab samples collected for field validation, and subject to a post-processing classification. The RoxAnn data points were exported into a geographic information system (GIS) and post-processed to remove unreliable data points and re-classified. This data set is comprised of the cleaned, attributed point data. The attributes include location, date, time, depth, field derived classification, and the classification derived from post-processing the data.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: acoustic, apalachicola bay, benthic, benthic mapping, biosphere, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, florida, gulf coast florida, marine ecosystems, national estuarine research reserve, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, oysters, roxann, sav, 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: Texas South 2

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr.
      
This metadata record describes the Texas South 2 digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Cameron, Kenedy, Kleberg, and Willacy Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2018 Texas - South Texas 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, cameron 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, kenedy county, kleberg county, land surface, lidar, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, terrain elevation, texas, topography, u.s. department of commerce, united states of america, willacy county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitats of Estero Bay Area, Florida 1999 Geoform

Data produced for the Florida Fish and Wildlife Conservation Commission's Florida Marine Research Institute (FMRI) in partnership with the South Florida Water Management District (SFWMD).  This data set consists of digital data describing the seagrass, unvegetated bottom, open water, algal beds, oysters, and apparent shoreline for the Southwest Florida Seagrass project area,which consists of Pine Island Sound, Matlacha Pass, San Carlos Bay, the lower Caloosahatchee River, and Estero Bay, in 1999.  The data set includes an ArcInfo coverage that was digitized from 1:24000 scale natural color aerial photographs that were photogrammetrically georeferenced utilizing GPS ground control points.  Data was stereoscopically photointerpreted and digitized using a Zeiss P3 analytical stereoplotter.  The seagrass beds and additional categories were classified according to the FDOT Florida Land Use, Cover and Forms Classification System (FLUCCS). Minimum mapping unit (mmu) for all classes was 0.25 acres.  A Photointerpretation Key was developed to aid in the classification of collected data. Ground truthing was performed during the photointerpretation phase to ensure classification accuracy and consistency of PI.  Digital files were created in Microstation design file format (.dgn).  1999 SWIM Seagrass data was translated from ARC/Info to .dgn format and was referenced as collateral tie information during the compilation process. These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Office for Coastal Management (NOAA\OCM), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define the extent of oyster habitats, the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public.

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

Tags: 2005, 2006, benthic, benthic habitats, biosphere, caloosahatchee river, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, estero bay, estuary, florida, geoform component, marine ecosystems, matlacha pass, national ocean service, noaa, north america, office of coastal management, oyster reef, photointerpretation, pine island sound, san carlos bay, seafloor, seagrass, submerged aquatic vegetation, u.s. department of commerce, united states of america, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shallow benthic habitats of San Francisco Bay, California CMECS Geodatabase

This dataset has been developed for the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (OCM) as a collaborative and cooperative project with the California State Coastal Conservancy (SCC) on behalf of the Ocean Protection Council (OPC) to collect and delineate habitat data in the San Francisco Bay area. Data is intended for use in coastal management decision making, including applications such as sea level rise. The mission of the Center is to support the environmental, social, and economic well-being of the coast by linking people, information, and technology.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: (843)740-1202
   Email: coastal.info@noaa.gov

Tags: algae, benthic, benthic habitat, biosphere, california, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, eelgrass, estuary, marine ecosystems, marsh, national ocean service, noaa, north america, office of coastal management, san francisco, san francisco bay, seagrass, sediment, submerged aquatic vegetation, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Light Attenuation KdPAR

This dataset represents monthly and annual averages of percentage light reaching at 1 m depth relative to surface light (KdPAR). The units are in percentage (%) as surface light reaching at 1 m depth derived from raw dataset. Wave band is 400-700 nm or Photosynthetic Active Radiation (PAR). Raw data available monthly from Jan 1, 2010, to Dec 31, 2017, with a spatial resolution of 4 km x 4 km. The monthly and annual means are summarized for the time period 2010-2017. Data provided by NESDIS Center for Satellite Applications and Research (STAR). Raw dataset collected by NASA satellite SUOMI National Polar-orbiting Partnership (NPP) using Visible Infrared Imaging Radiometer (VIIRS). Citation: SeungHyun Son, Menghua Wang., 2015: Diffuse attenuation coefficient of the photosynthetically available radiation Kd(PAR) for global open ocean and coastal waters. Remote Sensing of Environment, Volume 159, 15 March 2015, Pages 250-258.

Tags: alternative energy planning, atlantic, biology, coastal energy planning, continent, doc/noaa/nos/ocm, earth science, environment, environmental, environmental energy planning, environmental governance/management, farming, human dimensions, marine cadastre, marine spatial planning, marinecadastre, national, national ocean service, noaa, north america, ocean energy planning, oceans, office of coastal management, offshore energy planning, pacific, planningcadastre, renewable energy planning, u.s. department of commerce, united states, united states of america, water column features, water quality features
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Farallon de Medinilla, 2016

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 a Worldview-2 multispectral scene dated 01-19-2016.

Tags: 2016, 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
2018 Upper St. Louis River, MN Natural Color, Color Infrared and Hyperspectral Imagery

Wild rice (manoomin) plays an integral role in the ecosystems, culture, and economy of the Lake Superior region and it faces an existential threat from invasive species which compete for the same habitat and a variety of other factors. Six Areas of Interest (AOI) were identified as pilot sites and selected as the target AOI for this project.

AOI/Pilot Sites
1. Crooked Lake, Sucker Lake, and the Ontonagon River (CSO)
2. Eastern Upper Peninsula (EUP)*
3. Fond du Lac (FDL)
4. Kakagon Sloughs and Bad River (KSBR)
5. St. Louis River Estuary (SLRE)
6. Upper St. Louis River (USLR)

*To request imagery, please contact NOAA Office for Coastal Management (NOAA/OCM) at coastal.info@noaa.gov.

Tags: airplane, cameras, color infrared, continent, doc/noaa/nos/ocm, earth science, glri, great lakes restoration initiative, hyperspectral, imagery, infrared imagery, infrared wavelengths, minnesota, mn, national ocean service, natural color, noaa, north america, office of coastal management, orthoimage, rectified image, 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
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Virginia, Southern

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 Virginia, Southern 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 Chesapeake, Chesterfield, Colonial Heights, Franklin City, Hopewell, Isle of Wight, Norfolk, Petersburg, Portsmouth, Prince George, Richmond City, Southampton, Suffolk, Surry, and Virginia Beach Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2014 NGS Coastal Mapping Program Topobathy Lidar: Post-Sandy Atlantic Seaboard
      2. 2013 USGS Norfolk, VA Lidar
      3. 2014 Virginia Hurricane Sandy QL2 Lidar
      4. 2011 FEMA Virginia Lidar
      5. 2010 ARRA-VA 11County
      
      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, chesapeake county, chesterfield county, coastal processes, colonial heights county, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, franklin city, geomorphic landforms/processes, hopewell county, inundation, isle of wight county, land surface, lidar, national ocean service, noaa, norfolk county, north america, office of coastal management, petersburg county, portsmouth county, prince george county, richmond city, sea level changes, sea level rise, southampton county, suffolk county, surry county, terrain elevation, topography, u.s. department of commerce, united states of america, us, virginia, virginia beach county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: San Francisco Bay/Monterey (CA) WFO - Santa Cruz and Monterey 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 San Francisco Bay/Monterey (CA) WFO DEM was split into three smaller DEMs. They are divided along county lines and are: 1. San Francisco Bay/Monterey (CA) WFO - Santa Cruz and Monterey Counties 2. San Francisco Bay/Monterey (CA) WFO - Contra Costa, San Francisco, Alameda, San Mateo, and Santa Clara Counties 3. San Francisco Bay/Monterey (CA) WFO - Sonoma, Marin, Napa, and Solano Counties  This metadata record describes the DEM for the San Francisco Bay/Monterey (CA) WFO - Santa Cruz and Monterey Counties. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Santa Cruz and Monterey counties, that met project specifications.  The DEM is derived from LiDAR data collected for the California Coastal Conservancy, NOAA and the United States Geological Survey between 2009 and 2011. Hydrographic breaklines used in the creation of the DEM were obtained from the California Coastal Conservancy, NOAA or the USGS. 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, monterey county, national ocean service, noaa, north america, office of coastal management, santa cruz 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
Community-Based Adaptation Planning for New Hampshire - NERRS/NSC(NERRS Science Collaborative)

New Hampshireâs changing climate is evident not only to scientists but also to communities attempting to respond to its impacts. As the climate continues to shift, the wellbeing of these communities will depend on their ability to anticipate and adapt to current and future changes. To do that, stakeholders need accurate information about local climate impacts and risks and the ability to have tough conversations as they decide how best to protect infrastructure, businesses, and human safety.

Tags: biosphere, climate adaptation, climate change, doc/noaa/nos/ocm, earth science, ecosystems, estuary, great bay, marine ecosystems, national ocean service, nerrs, nh, noaa, office of coastal management, u.s. department of commerce, vulnerability assessment
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, New Orleans Area Parishes, Louisiana, 2017

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 2016. 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: airplane, c-cap, cameras, coastal zone, continent, doc/noaa/nos/ocm, earth science, jefferson parish, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, louisiana, national ocean service, noaa, north america, office of coastal management, orleans parish, plaquemines parish, remotely sensed imagery/photos, saint bernard parish, saint charles parish, saint john the baptist parish, saint tammany parish, tangipahoa parish, u.s. department of commerce, united states of america, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Understanding the Vulnerabilities of Southeastern Coastal Habitats to Climate Change Impacts - NERRS/NSC(NERRS Science Collaborative)

In this project, National Estuarine Research Reserves in North and South Carolina worked to improve local understanding of climate change effects on southeastern salt marsh and provide decision makers with the information and skills they need to address these vulnerabilities. North Carolina Reserve staff members were trained in the Climate Change Vulnerability Assessment Tool for Coastal Habitats (CCVATCH) by their colleagues from North Inlet-Winyah Bay Reserve. This decision support tool incorporates existing information on climate change impacts with knowledge of local conditions to help users develop vulnerability scores for specific areas. The project team used CCVATCH to conduct habitat vulnerability assessments for seven estuaries in North and South Carolina, summarized regional findings to help managers in the Southeast improve salt marsh resilience, and developed guidance and outreach products. 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, climate change, climate indicators, coastal, coastal processes, doc/noaa/nos/ocm, earth science, ecosystems, environmental assessments, environmental governance/management, environmental vulnerability index (evi), human dimensions, marine ecosystems, marshes, national ocean service, nc, nerrs, noaa, north carolina nerr, north inlet-winyah bay nerr, oceans, office of coastal management, sc, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Current Magnitude and Direction

Monthly and annual U and V vectors were summarized for 14 unique depth levels from daily means using the HYCOM and NCODA Global 1/12-degree Reanalysis. The U vector (m/s) is to the East and the V vector (m/s) is to the North. Current magnitude (m/s) was calculated using the daily U and V vectors. Descriptive statistics of mean, variance, standard deviations, minimum, and maximum were calculated for each month from the twenty years of data using the daily means (1992-2012). Mean, variance, and standard deviation was calculated for the annual summary period (1992-2012). The mean direction in degrees (with 0 = North) was calculated from the summarized U and V vector means, and represents the direction that the current is moving toward. The 1/12-degree global HYCOM+NCODA Ocean Reanalysis was funded by the U.S. Navy and the Modeling and Simulation Coordination Office. Computer time was made available by the DoD High Performance Computing Modernization Program. The output is publicly available at http://hycom.org.

Tags: coastal, continent, doc/noaa/nos/ocm, exclusive economic zone, 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