AndreaBozzo/ceres-open-data-index huggingface dataset:
Benthic habitat data for the south shore of Long Island

It is anticipated that the NOAA Office for Coastal Management (OCM) will be working with NY Department of State to collect digital multi-spectral imagery and create Coastal and Marine Ecological Classification Standard (CMECS) compliant digital benthic habitat data for the South Shore of Long Island, New York starting in the Summer of 2017.  Benthic habitat data shall be generated for all estuarine lands below mean high water within the study area. There are three elements to this project: imagery acquisition, baseline habitat mapping, and change detection from the 2003 collection.

Tags: benthic, cmecs, coastal and marine ecological classification standard, doc/noaa/nos/ocm, habitat, imagery, long island, national ocean service, new york, noaa, office of coastal management, planned, planned data acquisition, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 Great Lakes Restoration Initiative Bathymetric Lidar: Lake Superior

The data contained in this file contain hydrographic and topographic data collected by the Fugro LADS Mk II system along the Lake Superior coast
of Minnessota, Wisconsin and Michigan. FLI was contracted under Fugro Earth Data Inc (FEDI) by NOAA Office for Coastal Management (OCM) to collect
data under the Great Lakes Restoration Initiative.

All point data has delivered is in LAS 1.2 format
The file has been classified so that all points are classified as first return or bare earth
First return points include all vegetation, buildings or other feature with fixed position
Bare earth points exclude vegetation, buildings, piers, jetties, nav aids, bridges and any other fixed man made feature. Except for break waters
and retaining walls along the shore line.

Original contact information: 
   Contact Org: Fugro LADS Inc
   Title: Project Manager
   Phone: +1 228 818 8390
   Email: ladsusa@fugrolads.com

Tags: bathymetry/seafloor topography, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, lads mk ii, land surface, lidar, michigan, minnesota, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sediment profile image data from June 1995 in Lower Bay 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, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information system, gis, lower bay, marine ecosystems, national ocean service, new jersey, new york, new york harbor, noaa, north america, northeastern u. s., ocm benthic habitat mapping, office of coastal management, raritan bay, sandy hook bay, sediment profile imagery, spi, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Benthic Habitats of Estero Bay Area, Florida 1999 Substrate

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, 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
Hudson River Sub-Bottom Profile Lines_r09272010

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.

The sub-bottom trackplot was generated in ArcGIS from the GPS positions recorded in the Seg-Y file header.

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, environment 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, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Commercial Vessel Density October 2009-2010 AIS UTM 10N

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 10N.  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
Evaluating Living Shorelines to Inform Regulatory Decision-Making in South Carolina - NERRS/NSC(NERRS Science Collaborative)

This collaborative research project conducted extensive field work on the South Carolina coast. This project monitored and evaluated the effectiveness of a variety of living shoreline techniques under different coastal environmental conditions. Three datasets were generated by the project:

(1)Monitoring data for pre-existing oyster-based shoreline sites. This dataset includes monitoring results from 62 pre-existing living shoreline projects that used different techniques to support the development of oyster reefs. The reefs were distributed across 29 sites of varying shoreline geomorphologies, salinities, and sediment types, and were monitored for a variety of site characteristics and performance metrics.
(2)Performance data for new experimental shoreline sites. This dataset includes pre-installation and post-installation monitoring data for 16 experimental living shoreline sites spread along the South Carolina coast. Monitoring encompassed physical attributes of the bank and sediment, biological attributes of the adjacent marsh and the condition of the treatment material over time.
(3)Spatial and elevation geodatabase for living shoreline sites. This geodatabase was designed to help analyze changes in position and elevation of key features around living shorelines to help determine the relative success of various types of living shoreline materials. Data included horizontal position and elevation data at specific locations at living shoreline installation at various times.

Tags: ace basin nerr, atmospheric/ocean indicators, biosphere, climate indicators, coastal, coastal processes, doc/noaa/nos/ocm, earth science, ecosystems, environmental governance/management, human dimensions, inundation, land surface, landscape, living shoreline, marine ecosystems, national ocean service, nerrs, noaa, oceans, office of coastal management, oyster reef, permitting, reclamation/revegetation/restoration, sc, sea level rise, shoreline stabilization, shorelines, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Wave Direction

Wave hindcast direction represents the direction of peak in directionally-resolved wave energy flux. Wave hindcast direction values in this dataset are represented in degrees. The Wave Energy Resource Assessment project is a joint venture between NREL and Virginia Tech. NREL is the prime contractor and Virginia Tech is responsible for development of the models and estimating the wave resource. NREL also serves as an independent validator and also develops the final GIS-based display of the data. Data represent monthly summaries for the time period from January 1980 to December 2009 (30 years) for the following parameters: significant wave height (ssh), wave energy period (wep), and wave hindcast direction (dfp). For complete details regarding this study please read the full report, available here: https://openei.org/datasets/dataset/mapping-and-assessment-of-the-united-states-ocean-wave-energy-resource. A note about the data: Bathymetric effects are known to have a large effect on wave characteristics at depths shallower than approximately 20m (\~65 ft) on the Atlantic coast and 50 m (\~160 ft) on the Pacific coast. A variance between depths exists due to the feature differences for each continental shelf. The methodology used in this resource assessment precludes providing site-specific information to such developers. Reliable site-specific information in shallow waters can only be produced using results from models with higher spatial resolution that include shallow-water physics. The wave resource assessment group acknowledges that its results will not be accurate in the shallower waters of the inner continental shelf. These shallow water regions are located within the dark gray boundaries on the map.

Tags: alternative energy planning, atlantic, 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, wave energy planning, wave energy production
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover Change, Commonwealth of the Northern Mariana Islands (CNMI), Anatahan, 2005 - 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 Worldview and Quickbird imagery to determine land cover change between 2005 and 2016.

Tags: 2005, 2016, airplane, anatahan, c-cap, cameras, change, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land cover change, 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
Benthic grab data from June 1995 in the Lower Bay of New York/New Jersey Harbor

Benthic grab samples were collected using a Shipek grab at pre-determined locations in the harbor. Taxonomic enumerations and biological community parameters were estimated from grab samples and used to assess habitat conditions in conjunction with sediment profile images taken at the same stations. All data were entered into a database, and habitat classes were defined for each station. 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 grab, benthic habitat, benthic mapping, biosphere, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, geographic information system, gis, lower bay, marine ecosystems, national ocean service, new jersey, new york, new york harbor, noaa, north america, northeastern u. s., ocm benthic habitat mapping, office of coastal management, raritan bay, sandy hook bay, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Artificial Reefs

Artificial reefs provide new or enhanced hard-bottom habitat to areas that may or may not be habitat limited. Artificial habitat provides space that is quickly colonized by sessile organisms and provides new food sources, greater protection of juveniles by providing more space to be used as refuge, and a possible focal point for aggregating adults to spawn. Properly sited, constructed and managed reef sites, particularly multiple-site complexes, can be used to meet a variety of objectives. Traditionally, the majority of artificial reefs in United States coastal marine waters have been sited and built to enhance recreational fishing.

Tags: coastal, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, fish haven, human dimensions, 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
Commercial Vessel Density October 2009-2010 AIS UTM18

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 18N.  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
Benthic Habitat Mapping - Indian River Lagoon, Florida Submerged Aquatic Vegetation (SAV) Data 1996 Geoform

The NOAA Office for Coastal Management's Coastal Change Analysis Program, in cooperation with the St. Johns River and South Florida Water Management Districts, used the C-CAP protocol to map SAV and other benthic habitat in Indian River. The project incorporated underwater videography, field point observations, and transect data. Analytical photogrammetry was used to accomplish the mapping. 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: algae, banana river, benthic, biosphere, cape canaveral, change, cmecs, coastal, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, ecosystems, environmental monitoring, estuary, florida, geoform component, hobe sound, indian river lagoon, jupiter sound, marine ecosystems, mosquito lagoon, national ocean service, noaa, north america, ocm benthic habitat mapping, office of coastal management, photogrammetry, sav, seagrass, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2013 C-CAP Derived 10 meter 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, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, massachusetts, national ocean service, noaa, north america, ocean, office of coastal management, remotely sensed imagery/photos, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover Change, Commonwealth of the Northern Mariana Islands (CNMI), Farallon de Medinilla, 2004 - 2016

This data set contains the 2004 and 2016 classifications of Farallon de Medinilla, CNMI and can be used to analyze change. This data set utilized 2 full WorldView2 and Quickbird multispectral scenes and the 2004 high-resolution Farallon de Medinilla C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: 2004, 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