AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastal Maine Submerged Aquatic Vegetation Data 1993-1997 Substrate

Maine's eelgrass (SAV) meadows form an important aquatic habitat for the state. These meadows provide shelter for juvenile fish, and invertebrates. In certain locations they also help stabilize unconsolidated sediments and shorelines. Maine's Department of Marine Resources has mapped the SAV habitat for the entire coast using the Coastal Change Analysis Protocol. This mapping was accomplished from aerial photography acquired between 1993 and 1997. The unified coastal SAV data set is a composite of these multiple year data.  The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME).  This system is fully described in "Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02."
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aquatic, benthic, biosphere, casco bay, cmecs, coastal, coastal and marine ecological classification standard, coastal maine, continent, doc/noaa/nos/ocm, earth science, ecosystems, eelgrass, englishman bay, environmental monitoring, estuary, frenchman bay, habitat, maine, marine ecosystems, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, penobscot bay, sav, seagrass, spill, substrate component, subtidal, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Molokai 2005 era High Resolution Land Cover Metadata

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 43 full or partial Quickbird multispectral scenes which were processed to detect C-CAP land cover features on the island of Molokai.

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, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, maui county, molokai, 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
1980 Brown 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
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Maug Islands, 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 2016-01-07.

Tags: 2016, 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, maug islands, 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
Building Partnerships for Oregon's Coastal Watershed - NERRS/NSC(NERRS Science Collaborative)

In Oregonâs Coos Bay, the natural environment is a source of pride and significant economic activity. But as a result of competing interests, the areaâs natural resources can also be a source of conflict. This divisiveness often makes it difficult for to objectively assess the long-term effects of economic activity on social, economic, and environmental conditions

Tags: biosphere, climate change, collaboration, doc/noaa/nos/ocm, earth science, ecosystems, estuary, marine ecosystems, national ocean service, nerrs, noaa, office of coastal management, or, south slough, u.s. department of commerce, water quality, watershed, watershed assessment
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1969 Commonwealth of the Northern Mariana 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 unavialable historic aerial imagery of the Pacific Islands avialable 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, doc/noaa/nos/ocm, earth science, historical, imagery, infrared imagery, infrared wavelengths, micronesia, mosaic, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, photograph, rectified image, remotely sensed imagery/photos, scanned imagery, spectral/engineering, u.s. department of commerce, visible imagery, visible wavelengths, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Bend Texas Benthic Habitat Mapping Baffin Bay 2004 Substrate

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, 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
Commercial Vessel Density October 2009-2010 AIS UTM16

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 16N.  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
2005 C-CAP Land Cover of Oahu, Hawaii

This data set consists of land cover derived from high resolution imagery according to the Coastal Change Analysis Program (C-CAP) protocol. This data set utilized 29 full or partial Quickbird multispectral scenes which were processed to detect C-CAP land cover features on the island of Oahu.

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, honolulu county, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, north america, oahu, 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
C-CAP Territory of American Samoa (Rose Atoll) 2006-2009 Land Cover Change Analysis

This data set contains the 2006 and 2009 classifications of Territory of American Samoa (Rose Atoll) and can be used to analyze change. This data set utilized 1 full Quickbird multispectral scene and the 2006 high-resolution American Samoa (Rose Atoll) C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, change detection analysis, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Maug Islands, 2003

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 which was processed to detect C-CAP land cover features on Maug Islands, 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, maug islands, 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
2016 NOAA NGS Topobathy Lidar DEM: Puerto Rico

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ-880G system.  The data were acquired from 20160219- 20160331 in twenty missions.  The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), ground (2), topo noise (7), bathy noise (22), water column (25), bathymetric bottom or submerged topography (26), water surface and (27), derived water surface in accordance with project specifications.  The project consists of 309.3 square miles along the shores of Puerto Rico.  This dataset contains 3463 - 500 m x 500 m lidar tiles.

Tags: 20160219, 20160222, 20160223, 20160224, 20160301, 20160302, 20160312, 20160314, 20160315, 20160316, 20160317, 20160322, 20160323, 20160324, 20160325, 20160328, 20160329, 20160331, bathymetry, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, dems, doc/noaa/nos/ocm, earth science, land surface, national ocean service, noaa, north america, oceans, office of coastal management, puerto rico, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic cover data for coastal U.S.

OCM plans to collect aerial imagery, acoustic backscatter, bathymetry, and sediment samples to support development of benthic habitat maps/data. These data will be collected under specifications designed to facilitate deriving substrate character and biotic communities. Projects could take place anywhere within US coastal waters but will most likely take place in the Great Lakes and/or on the West Coast.

Tags: benthic, coastal, doc/noaa/nos/ocm, great lakes, national ocean service, noaa, office of coastal management, planned, planned data acquisition, substrate, u.s., u.s. coastal zone, u.s. department of commerce, west coast
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
From NECAP to GCAP: Transferring Climate Adaptation Knowledge and Tools from New England to Georgetown, SC - NERRS/NSC(NERRS Science Collaborative)

This project will develop, produce, and implement role-play simulation case studies for Georgetown County citizens and leaders, with the goal of starting community discussions around climate adaptation and mitigation planning. The project team will develop the simulations based on localized climate information and data for temperature and precipitation. This will be combined with information gathered through key stakeholder interviews on their understanding of climate change, the climate-related risk factors that are of the greatest interest to them, and the social and political context in which decisions will be made. This information will then be used to create a scientific fact sheet for each case study, the roles within the case studies, risks that are present, and possible solutions based on sociopolitical context and scientific evidence.

The project seeks to engage 150-200 participants in the role-playing simulations through a minimum of four community participation workshops throughout the county. The role-play will allow for collective community learning and engagement, and the potential for developing policy recommendations. It will help to incorporate climate risk management into local decision-making processes in the public and private sectors. 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, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuary, marine ecosystems, national ocean service, nerrs, noaa, north america, north inlet-winyah bay nerr, office of coastal management, sc, south carolina, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Niihau, Hawaii 2005-2010 Land Cover Change Analysis

This data set contains the 2005 and 2010 classifications of Niihau and can be used to analyze change. This data set utilized utilized 10 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Niihau C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: airplane, c-cap, cameras, central pacific ocean, change detection analysis, coastal zone, continent, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, hawaii, hawaiian islands, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, niihau, 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
Teachers on the Estuary: Investigating a Changing Environment - NERRS/NSC(NERRS Science Collaborative)

The four national estuarine research reserves in New England will work together to share existing and develop new educational resources for the classroom teachers they work with.

New Curriculum: The Waquoit Bay Reserve recently developed a curriculum about blue carbon, "Bringing Wetlands to Market," which will be shared with the three other New England reserves (Wells, Great Bay, and Narragansett Bay). The reserves will use a similar process to develop localized teaching modules about climate change impacts.

Teacher Workshops: A three- or four-day intensive teacher workshop will be held at each participating reserve in the summer of 2016. Teachers will test out a suite of new educational resources about climate change and receive guidance on how to develop stewardship projects for their students. 

Application by Other Reserves: Post-workshop evaluations and meetings will serve as opportunities to discern the successes and challenges associated with the trainings and new curriculum. Revised training and teaching materials will be presented and made available to the entire reserve system.

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, blue carbon, climate change, coastal, curriculum support, doc/noaa/nos/ocm, earth science, earth science services, ecosystems, education/outreach, great bay nerr, ma, marine ecosystems, me, narragansett bay nerr, national ocean service, nerrs, nh, noaa, office of coastal management, ri, u.s. department of commerce, waquoit bay nerr, wells nerr
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Florida, Panhandle West

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 Florida Panhandle, West 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 Escambia, Santa Rosa, Okaloosa and Walton Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2017 NWFWMD Escambia and Santa Rosa FL Lidar
      2. 2017 NWFWMD Lower Choctawhatchee Lidar
      3. 2018 USGS Panhandle FL Lidar
      4. 2018 Leon County
      5. 2008 NWFWMD Lidar: Walton County (Eglin AFB)
      6. 2007 FDEM Coastal Lidar: Coastal Okaloosa County
      7. 2008 NWFWMD Lidar: Inland Okaloosa County
      8. 2006 NWFWMD Lidar: Escambia, Santa Rosa, and Walton Counties

      
      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: airplane, bathymetry/topography, coastal elevation, coastal processes, continent, dem, digital elevation model, doc/noaa/nos/ocm, earth science, elevation, escambia county, flooding, florida, inundation, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, okaloosa county, santa rosa county, sea level rise, terrain elevation, topography, u.s. department of commerce, united states of america, us, vertical location, walton county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Alamagan, 2015

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 02-02-2015.

Tags: 2015, airplane, alamagan, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce