AndreaBozzo/ceres-open-data-index huggingface dataset:
Monitoring and Management of Lagoon Mouths in Southern California - NERRS/NSC(NERRS Science Collaborative)

A team of collaborators from the Tijuana River National Estuarine Research Reserve, Southwest Wetlands Interpretive Association, and University of California-Davis are exploring the environmental consequences of managing the opening and closing of lagoon mouths. The project approach includes the following elements:

Collaboration with Users: The project team will regularly engage members of the Southern California Wetlands Recovery Project, which coordinates and funds restoration projects throughout the region. 

Data Synthesis: Long-term water quality and vegetation data will be analyzed from three estuary systems: San Diego Bay, Los Peasquitos Lagoon, and Tijuana Estuary. The team will look at how mouth closures influence factors such as dissolved oxygen and salinity, which in turn affect plants and animals.

Literature Review: The project team will pull together relevant scientific articles and reports to guide its interpretation of monitoring data and development of management recommendations. 

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, ca, coastal, coastal processes, doc/noaa/nos/ocm, earth science, ecosystems, environmental governance/management, human dimensions, lagoons, land surface, landscape, los peasquitos lagoon, marine ecosystems, monitor, national ocean service, nerrs, noaa, oceans, office of coastal management, reclamation/revegetation/restoration, san diego bay, tijuana river nerr, u.s. department of commerce, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1965 Hawaiian Islands Historical Scanned Imagery

These images are part of a project funded by NOAA Office for Coastal Management to develop a high quality, user-friendly, attributed, centralized, multi-territorial digital database of georeferenced historic aerial imagery in the Pacific Islands region, including Hawaii, American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands. The objective of this project is to make previously unavailable historic aerial imagery of the Pacific Islands available for public consumption through NOAA's Digital Coast website. These images were scanned on a flatbed scanner and georeferenced to existing basemap data.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: aerial, airplane, cameras, coastal, continent, doc/noaa/nos/ocm, earth science, hawaii, historical, imagery, infrared imagery, infrared wavelengths, mosaic, national ocean service, noaa, north america, office of coastal management, photograph, rectified image, remotely sensed imagery/photos, scanned imagery, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Farallon de Pajaros, 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 01-07-2016.

Tags: 2016, airplane, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, farallon de pajaros, 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
2011 Bombay Hook National Wildlife Refuge DMC Imagery

The NOAA Bombay Hook Project covers 177 square kilometers of the Bombay Hook National Wildlife Refuge and surrounding areas in Kent County, Delaware.  Dewberry produced Ortho Mosaics for 101 tiles (1700 m x 1700 m) covering this area.  The Orthos were created with a 25cm cell size.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: airplane, cameras, continent, delaware, dem, dmc, doc/noaa/nos/ocm, earth science, imagery, infrared imagery, infrared wavelengths, mosaic, national ocean service, noaa, north america, office of coastal management, ortho, remotely sensed imagery/photos, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Side-Scan-Sonar Lines for Hudson River, NY

Side Scan Sonar and Subbottom Profiler Tracklines.  Data was collected November 5 to December 15, 2009, in the estuary north from Saugerties to Troy.  Fugro utilized the GeoAcoustics GeoSwath and the EdgeTech SB216 Chirp subbottom profiler system for data collection.  Tracklines were created with CARIS 7.0 
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: acoustic reflectivity, aspect, backscatter, benthic, biosphere, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, hillshade, hudson river, marine ecosystems, national ocean service, new york, noaa, north america, office of coastal management, river, shallow water, slope, swath bathymetry, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for New Hampshire based on 2000 Census Block Groups

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

Tags: census block groups, coastal areas, coastal states, comparative index, continent, demographic, demographics, doc/noaa/nos/ocm, earth science, environmental hazards, hazard mitigation/planning, household income, human dimensions, human settlements, indicators, national ocean service, new hampshire, 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
Sediment profile image data from October 1995 in the inland bays of New York/New Jersey Harbor

Sediment profile images (SPI) of the sediment-water interface were collected using a sediment profiling camera at pre-determined locations in the harbor. Physical, chemical, geological and biological conditions observed in the photos were used to create a database for all stations, and habitat classes were defined by sediment type and/or faunal community for each location. The database was then used in a Geographic Information System (GIS) to characterize benthic habitat types for New York/New Jersey Harbor.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitat, benthic mapping, biosphere, bowery bay, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, flushing bay, geographic information system, gis, jamaica bay, marine ecosystems, national ocean service, new york, new york harbor, newark bay, noaa, north america, northeastern u. s., ocm benthic habitat mapping, office of coastal management, sediment profile imagery, spi, u.s. department of commerce, united states of america, upper bay
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
AIS Vessel Transit Counts 2020

Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal planning purposes. NOAA and BOEM have worked jointly to re-task and make available some of the most important records from the U.S. Coast Guard's national network of AIS receivers. This dataset represents annual vessel transit counts summarized at a 100 m by 100 m geographic area. A single transit is counted each time a vessel track passes through, starts, or stops within a 100 m grid cell.

Tags: ais, coastal, continent, doc/noaa/nos/ocm, exclusive economic zone, 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
Military Training Routes

Training Areas are geographic areas that provide a safe and realistic environment for training Sailors and testing systems. The MarineCadastre.gov team worked with the Navy to provide this data, which is a subset of the Navy's Common Operating Picture for ocean planning purposes.

Tags: coastal, common operating picture (cop) atlantic gomex, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, human dimensions, marinecadastre, military operations, national ocean service, noaa, north america, office of coastal management, oparea, outer continental shelf, planning, territorial sea, training, u.s. department of commerce, u.s. fleet forces - u.s. navy, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA's Coastal Change Analysis Program (C-CAP) 2001 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 2001-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
Stormwater Solutions for North Carolina - NERRS/NSC(NERRS Science Collaborative)

Stormwater pollution is the number one threat to coastal water quality in North Carolina, where it contributes to beach closures, impacts tourism, and interrupts shellfish harvests. Rapid urbanization, population growth, and a shifting climate have all converged to make it increasingly difficult for the stateâs communities to reduce the volume of stormwater washing over th landscape and protect water quality. Excess runoff also leads to street flooding that ranges from being a nuisance to a danger to public safety.

Tags: biosphere, doc/noaa/nos/ocm, earth science, ecosystems, estuary, green infrastructure, marine ecosystems, national ocean service, nc, nerrs, noaa, nonpoint source pollution, north carolina, office of coastal management, stormwater, u.s. department of commerce, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitats of Estero Bay Area, Florida 1999 Geodatabase

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, biotic component, 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, substrate component, u.s. department of commerce, united states of america, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Kahoolawe 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 Kahoolawe.

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, kahoolawe, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, maui county, 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
Coastal Bend Texas Benthic Habitat Mapping Redfish Bay 2004 Geodatabase

In 2006 and 2007 the NOAA Office for Coastal Management purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays.The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A and M University Center for Coastal Studies to develop benthic habitat data, primarily Submerged Aquatic Vegetation(SAV) for several coastal bays.  This data will support the state's recently adopted Seagrass Monitoring Program which calls for regional mapping of SAV for status and trends assessment.  The Center, Texas A and M, and TPWD have coordinated on the requirements of this project.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: benthic, benthic habitat, biosphere, biotic component, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuary, geoform component, habitat classification, marine ecosystems, national ocean service, noaa, north america, office of coastal management, remotely sensed imagery/photos, 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
2015-2017 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 2015, 2016, or 2017 (depending on the exact date of imagery used). 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
C-CAP Land Cover, Maui, Hawaii

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 20 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Maui C-CAP data set. The imagery and base classification were included in a multi-step semi-automated change detection process to extract land cover features in the 2010 imagery.

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, 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