AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Honolulu Weather Forecast Office (HFO WFO) - Maui

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 Honolulu Weather Forecast Office (HFO WFO) 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 Honolulu WFO, which includes the following islands in Hawaii: Kauai, Oahu, Molokai, Maui, Lanai, and Hawaii.  The DEM is derived from multiple sources. 1. 2005 Oahu/Maui Lidar - acquired by NOAA 2. 2006 Hawaii FEMA Lidar - acquired by FEMA along south shores of islands 3. 2007 USACE Pacific Islands Lidar: Hawaiian Islands - acquired by USACE and Hawaii State Civil Defense along north and windward facing shores of islands  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 Local Mean Sea Level (LMSL) tidal datum with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is 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, hawaii, inundation, land surface, lidar, maui, maui county, 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
2013 C-CAP Derived 30 meter Forest Canopy Land Cover - BETA

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 data is 2013. These maps are developed through the automated classification of high resolution National Agriculture Imagery Program (NAIP) imagery, available Lidar digital elevation data, and assorted ancillary information. 

While produced as part of the Coastal Change Analysis Program (C-CAP), these products should not be compared directly to past dates of 30-meter C-CAP to identify change, as there will be vast differences caused by the different methods and the classes mapped.

These data should be considered to be BETA-level or draft products. They are based on 1-meter land cover mapping that were entirely automated and the relationship of those data to existing wetlands data. As such, there may be issues that result from the different vintages of these products, as well as the errors included in each. While not perfect, the data should provide an example of what level of detail would be possible through such higher-resolution mapping.

These data are not jurisdictional or intended for use in litigation. NOAA does not assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.

Tags: airplane, c-cap, cameras, coastal zone, doc/noaa/nos/ocm, earth science, forest canopy, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, office of coastal management, remotely sensed imagery/photos, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: New Hampshire

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 Hampshire 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 Rockingham and Strafford Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2013 - 2014 USGS Hurricane Sandy Supplemental for NE (RI, MA, NH)
      2. 2011 USGS ARRA Lidar for the Northeast: Massachusetts
      
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, land surface, lidar, national ocean service, new hampshire, noaa, north america, office of coastal management, rockingham county, sea level changes, sea level rise, strafford county, terrain elevation, topography, u.s. department of commerce, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: New York, Hudson River

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 York, Hudson River 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 Albany, Columbia, Dutchess, Greene, Orange, Putnam, Rensselaer, and Ulster Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2011-2012 New York Coastal Lidar
      
      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: albany county, bathymetry/topography, coastal processes, columbia county, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, dutchess county, earth science, elevation, flooding, geomorphic landforms/processes, greene county, inundation, land surface, lidar, national ocean service, new york, noaa, north america, office of coastal management, orange county, putnam county, rensselaer county, sea level changes, sea level rise, terrain elevation, topography, u.s. department of commerce, ulster county, united states of america, us
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA's Coastal Change Analysis Program (C-CAP) 2006 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 2006-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, hawaii, 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
Time-Series Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2019 (Sector and Industry Level)

Economics: National Ocean Watch (ENOW) contains annual time-series data for about 400 coastal counties, 30 coastal states, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis.  It describes 23 industries in six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross Domestic Product (GDP).

Tags: coastal areas, coastal counties, coastal states, continent, doc/noaa/nos/ocm, dredging, earth science, economic resources, economics, fishing, great lakes, human dimensions, human settlements, marine construction, marine transportation, naics, national ocean service, noaa, north america, north american industrial classification system, office of coastal management, offshore oil and gas, recreation, recreational activities/areas, ship building, shipping, social behavior, socioeconomics, sustainability, sustainable development, tourism, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Digital Oblique Imagery Collection for the Coasts of Main/New Hampshire, Massachusetts/Rhode Island/Connecticut, and Hudson River/Long Island /NY/NJ

Project: NOAA Digital Orthophotography and Ancillary Oblique Imagery Collection for the Coasts of Main/New Hampshire, Massachusetts/Rhode Island/Connecticut, and Hudson River/Long Island /NY/NJ
Contract No. EA133C11CQ0010
Reference No. NCNP0000-14-00967
Woolpert Order No. 74571
CONTRACTOR: Woolpert, Inc.
The project represents the collection of digital oblique imagery for the coasts of Maine and New Hampshire; Massachusetts and Rhode Island; Connecticut, the Hudson River, Long Island and the NY/NJ metro area. The work was requested by the National Oceanic and Atmospheric Administration, Office of Response and Restoration division. The imagery is being acquired for use in the development of the ESI (Environmental Sensitivity Index) data in this same region. The entire project area includes approximately 11,669 square miles.
Original contact information: 
   Contact Org: National Oceanic and Atmospheric Administration (NOAA)
   Phone: 843-740-1200

Tags: aerial, airplane, cameras, coastal, connecticut, continent, doc/noaa/nos/ocm, earth science, hudson river, imagery, infrared imagery, infrared wavelengths, long island, maine, massachusetts, national ocean service, new hampshire, new jersey, new york, noaa, north america, oblique imagery, office of coastal management, photograph, rhode island, shoreline, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Alabama

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 1 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 Calhoun, Jackson, Matagorda, and Victoria Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2017 25 County AL Lidar
      2. 2014 Mobile County, AL Lidar
      3. 2014 NRCS/USGS/NPS Choctaw and Washington Co., AL 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: alabama, baldwin county, bathymetry/topography, clarke 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, mobile county, monroe county, 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, washington county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: South Carolina Central

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 Central 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 Charleston, Berkeley and Dorchester Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2017 SC DNR Lidar DEM: Charleston County, SC
      2. 2017 SC DNR Lidar DEM: Berkeley County, SC
      3. 2007 SC DNR Lidar DEM: Dorchester 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, berkeley county, charleston county, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, dorchester county, earth science, elevation, flooding, geomorphic landforms/processes, inundation, 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
Hudson River Sub_Bottom Profile Data - Raw SEG-Y Files (*.sgy)

Hudson River Estuary Shallow Water Surveys. Subbottom data was collected November 5 to December 15, 2009, in the estuary north from Saugerties to Troy.   Data Collection and Processing: Subbottom Data - Fugro utilized the EdgeTech SB216 Chirp subbottom profiler system for seismic data collection. This system was operated using a swept frequency range of 2-16 KHz, maximizing subsurface resolution within the very shallow near-surface material (1- 5 m beneath seafloor). Subbottom data was processed and interpreted using Discover and SMT Kingdom software. The intent of the processing was to provide the NYSDEC with SEG-Y files that were properly filtered and spatially oriented to allow for near-surface interpretation of sediments in the Hudson River. Processing steps for the subbottom data included swell filtering to compensate for sea conditions during survey operations, compiling correct shotpoint navigation, and adjusting data gains for optimal interpretation. An isopach (sediment thickness) of the unconsolidated surficial sediments was created from the seafloor and mapped sediment horizon base using an acoustic two-way travel time of 1500 meters/second. Subbottom data was used to assist in selecting sediment sampling locations. Graphical sub-bottom profiles for areas of interest were produced and descriptive results will be included in the final report.  Points were created every 300th shot (approximately 100 meters).
Original contact information: 
   Contact Name: John Ladd
   Contact Org: Hudson River National Estuarine Research Reserve, NYS DEC
   Phone: 845-889-4745
   Email: jxLadd@gw.dec.state.ny.us

Tags: benthic, biosphere, chirp, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environment monitoring, estuary, hudson river, marine ecosystems, national ocean service, new york, noaa, north america, office of coastal management, profile, river, shallow water, subbottom, u.s. department of commerce, united states of america, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Weather Radar Stations

These data represent Next-Generation Radar (NEXRAD) and Terminal Doppler Weather Radar (TDWR) weather radar stations within the US. The NEXRAD radar stations are maintained and operated by the National Oceanic and Atmospheric Administration. The TDWR radar stations are maintained and operated by the Federal Aviation Administration. Both radar's are pulsed Doppler types that measure reflectivity out to 460 km, and radial velocity and spectrum width out to 300 km for NEXRAD and 90 km for TDWR. Both radars automatically scan the atmosphere from the surface to 70,000 feet using a rotating parabolic antenna.

Tags: alaska, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, guam, hawaii, human dimensions, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, puerto rico, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce