AndreaBozzo/ceres-open-data-index huggingface dataset:
Decreasing Vulnerability for Maine's Beach-Based Business Community - NERRS/NSC(NERRS Science Collaborative)

Using a collaborative approach that engages researchers and local business owners, the project team will adapt a tourism-resilience index for southern Maine businesses. After pilot-testing, a broader community of local business leaders will complete facilitated self-assessments in Kennebunkport and Kennebunk, Maine. Participating businesses will be given their custom tourism-resilience index, or score, along with a set of suggested steps they can take to increase their resiliency to natural disasters. The project team will meet with these same businesses one year later to reassess and measure progress. The project team will aggregate the indices of participating businesses and a summary of lessons learned will be shared with southern Maine chambers of commerce, municipalities and climate adaptation professionals. Strategies for adapting and implementing the tourism resilience index in different regions will also be shared with business communities, climate adaptation professionals, and the National Estuarine Research Reserve system. Project results will highlight common gaps and barriers businesses share when it comes to increasing their resilience to natural disaster. 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: atmospheric/ocean indicators, biosphere, climate indicators, coastal, coastal processes, doc/noaa/nos/ocm, earth science, ecosystems, environmental assessments, environmental governance/management, environmental vulnerability index (evi), human dimensions, inundation, marine ecosystems, me, national ocean service, nerrs, noaa, oceans, office of coastal management, resilience, sea level rise, storm surge, u.s. department of commerce, wells nerr
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Digital Elevation Model: Lake St. Clair

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 NOAA Lake Level Viewer. It depicts potential lake level rise and fall 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 lake level change, coastal flooding impacts, and exposed lakeshore. 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 NOAA Lake Level Viewer may be accessed at: https://coast.noaa.gov/llv.
      
      This metadata record describes the Lake St. Clair 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 Lake Level 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 Macomb, St. Clair, and Wayne counties in Michigan.
      
      The DEM was produced from the following lidar data sets:
      1. 2006, USACE NCMP Topobathy Lidar: Lake Erie (OH, PA), Lake Huron (MI) and Lake Michigan (Porter County, IN)
      2. 2009, USGS Wayne and Washtenaw County Lidar
      3. 2010, ARRA-MI_4SECounties
      4. 2012, USACE NCMP Topobathy Lidar: Lake St. Clair (MI)

      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, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, great lakes, inundation, lake st. clair, land surface, lidar, macomb county, michigan, national ocean service, noaa, north america, office of coastal management, sea level changes, st. clair county, terrain elevation, topography, u.s. department of commerce, united states of america, us, water levels, wayne county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Maryland, 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 Maryland, 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 Cecil, Harford, and Kent Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2014 Cecil County, MD Lidar
      2. 2013 Harford County, MD Lidar
      3. 2015 Sandy Supplemental MD/PA QL2 Lidar (Kent County, MD)
      
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, cecil county, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, harford county, inundation, kent county, land surface, lidar, maryland, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2007 Lidar DEM: Jasper, Colleton, Charleston Counties, SC

Digital Elevation Model (DEM) derived from lidar data.

LiDAR data collection was performed utilizing a Leica ALS-50 sensor, collecting multiple return x, y, and z data as well
as intensity data.  LiDAR data was processed to achieve a bare ground surface, and was delivered in LAS format.  Classified LAS
data was also used as a base for collection of hydro features, delivered in MicroStation v8 format. The dates of collection are:
1. JASPER COUNTY (full county): 20061227 to 20070216
2. COLLETON COUNTY (full county: 20070216 to 20070323
3. CHARLESTON COUNTY (Partial County): 20070222 to 20070223

Tags: bare ground surface, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, earth science, hydro, hydrography, land surface, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, 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
2016 Walton County, Georgia ADS100 4-Band 8 Bit Imagery

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

Tags: 0.5 foot orthoimage, 6 inch orthoimage, airplane, cameras, continent, doc/noaa/nos/ocm, earth science, ga, georgia, image map, imagery, infrared imagery, infrared wavelengths, national ocean service, natural color orthophoto, noaa, north america, office of coastal management, orthoimage, orthophoto, rectified image, rectified photograph, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2000 Fall East Coast NOAA/USGS/NASA  Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected during Fall 2000 and covers coastlines of the states of Maryland, New Jersey, New York,
Connecticut, Rhode Island, Massachusetts, New Hampshire, and Maine.
Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground
elevation and coastal topography. The laser emits laser beams at high frequency and is directed downward at the
earth's surface through a port opening in the bottom of the aircraft's fuselage. The laser system records the
time difference between emission of the laser beam and the reception of the reflected laser signal in the
aircraft. The aircraft travels over the beach at approximately 60 meters per second while surveying from
the low water line to the landward base of the sand dunes.

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

Tags: bathymetry/seafloor topography, beach, coastal elevation, coastal processes, connecticut, continent, delaware, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, maine, maryland, massachusetts, national ocean service, new hampshire, new jersey, new york, noaa, north america, oceans, office of coastal management, rhode island, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Aransas 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
Tropical Cyclone Wind Exposure

Hurricanes and other tropical cyclones pose a high risk to people, property, and ecosystems along the coastline of the United States. The impact of these storms can cascade through the nation's economy and affect communities far from the coast. Understanding the geographic limit of and exposure to winds from tropical cyclones can help citizens, businesses, and government agencies build resilience to these pending dangers.

These data portray wind exposure between 1988 and 2022 in the North Atlantic and Eastern Pacific Ocean basins and between 2001 and 2022 in the Western Pacific Ocean basin. Exposure was quantified using intersecting storm tracks, overlapping wind intensity areas, and calculated return intervals.

Tags: continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, extratropical storm, hawaii, human dimensions, hurricane, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, puerto rico, territorial sea, tropical cyclone, tropical storm, u.s. department of commerce, u.s. virgin islands, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Pagan 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 Pagan, 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, pagan, 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
Shallow benthic habitats of San Francisco Bay, California CMECS substrate component

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
Promoting Coastal Community Resilience through Alaska Fisheries Business Self-Assessments - NERRS/NSC(NERRS Science Collaborative)

Climate change is a pressing concern for Alaska's coastal communities and fisheries businesses facing disruptions to the abundance and reliability of fish populations. As decision-makers in south-central Alaska began climate adaptation planning, they recognized that fishermen were often under-engaged in resilience conversations and lacked resources to integrate climate risks into business strategic planning. In response to this need, a collaborative project led by the Kachemak Bay National Estuarine Research Reserve provided business resilience tools and training to strengthen a network of local fisheries businesses prepared for climate impacts.  The project adapted a Fisheries Resilience Index business self-assessment for Alaska, convened a network of local fisheries stakeholders, and held a series of multi-sector fisheries business resilience workshops. 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: ak, aquatic sciences, atmospheric/ocean indicators, biosphere, climate change, climate indicators, coastal, doc/noaa/nos/ocm, earth science, ecosystems, environmental assessments, environmental governance/management, fisheries, human dimensions, inundation, kackemak bay nerr, marine ecosystems, national ocean service, nerrs, noaa, oceans, office of coastal management, resilience, sea level rise, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA's Coastal Change Analysis Program (C-CAP) 2010 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 2010-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: alabama, c-cap, california, cameras, ccap, coastal change analysis program, connecticut, continent, delaware, district of columbia, doc/noaa/nos/ocm, earth science, environmental governance/management, florida, georgia, human dimensions, illinois, indiana, land cover analysis, land management, land surface, land use classes, land use/land cover, land use/land cover classification, landsat, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, national ocean service, new hampshire, new jersey, new york, noaa, north america, north carolina, office of coastal management, ohio, oregon, pennsylvania, remotely sensed imagery/photos, rhode island, south carolina, texas, u.s., u.s. coastal zone, u.s. department of commerce, united states of america, vermont, virginia, washington, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2004 Sediment Profile Imaging (SPI) Data for Catlett and Goodwin Islands on the York River, Chesapeake Bay, Virginia (Ches_2004SPI)

This data set represents the sediment profile imaging data from 2004 (79 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 interferometric swath 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: benthic, benthic data, biosphere, catlett island, chesapeake bay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information systems, gis, goodwin island, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, sediment profile imaging, spi, u.s. department of commerce, united states of america, virginia, york river
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Alabama based on 2000 Census Block Groups

This data depicts the social vulnerability of Alabama census block groups to environmental hazards.  Data were culled primarily from the 2000 Decennial Census.

Tags: alabama, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce