AndreaBozzo/ceres-open-data-index huggingface dataset:
2016 South Manitou Island, MI Benthic Cover-Geodatabase

This dataset has been developed for the National Oceanic and Atmospheric Administration's (NOAA) Office for Coastal Management (OCM) as a collaborative and cooperative project with the National Park Service (Sleeping Bear Dunes National Lakeshore). A workflow combining photointerpretation, object-based image analysis, field verification, and expert manual interpretation has produced benthic habitat maps including CMECS Substrate and Biotic Components for a 42km2 project area at South Manitou Island in Lake Michigan. The Substrate and Biotic Components were classified to at least the CMECS Subclass level. For both components, Co-Occurring Elements and Modifiers (i.e. Percent Cover, Induration, Surface Pattern) were added to provide further detail to CMECS units. Refer to project report for example images and corresponding CMECS classifications.  This file geodatabase contains the Substrate and Biotic components as separate feature layers.  Several existing data sets formed the source for the mapping effort, including underwater photography, aerial imagery, and acoustic backscatter (side-scan and multi-beam sonar).  High-resolution LIDAR data was also collected around the island in 2016 which also was used to support the mapping.  Field observations were collected over 2 days in August 2017 to assure the accuracy of the map products.  In addition to the Substrate and Botic data, this file Geodatabase also contains field validation points collected during summer of 2017, a GPS navigation track for each field site, and digital video clips for many of the sites.

Tags: animals/invertebrates, benthic, biological classification, biotic, bivalves, cmecs, coastal and marine ecological classification standard, continent, doc/noaa/nos/ocm, earth science, inland waters, macroalgae, michigan, mollusks, mussels, national ocean service, noaa, north america, office of coastal management, substrate, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: North Carolina, Middle 1

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 North Carolina, Middle 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 Beaufort, Bertie, Hertford, Hyde, Martin, Pitt, Tyrrell, and Washington Counties.
      
      The DEM was produced from the following lidar data sets:
      1. 2014 NGS Coastal Mapping Program Topobathy Lidar: Post-Sandy Atlantic Seaboard
      2. 2014 NC Statewide Lidar - Phase 1
      
      The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Tags: bathymetry/topography, beaufort county, bertie county, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, geomorphic landforms/processes, hertford county, hyde county, inundation, land surface, lidar, martin county, national ocean service, noaa, north america, north carolina, office of coastal management, pitt county, sea level changes, sea level rise, terrain elevation, topography, tyrrell county, u.s. department of commerce, united states of america, us, washington county
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Digital Orthophotography for the Coasts of Massachusetts and Rhode Island

Project: NOAA Digital Orthophotography 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 orthoimagery 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, digital orthophotography, doc/noaa/nos/ocm, earth science, imagery, infrared imagery, infrared wavelengths, maine, massachusetts, national ocean service, new hampshire, new jersey, new york, noaa, north america, office of coastal management, orthophoto, photograph, rectified image, 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
Offshore Oil and Gas Wells

These data show the location of oil and gas wells within U.S. and territorial waters. The values of an oil and gas well record can change considerably over time, and with varied ownership, and with the jurisdiction that the well is located within. The fields in this data set are only a subset of the most common values available.

Tags: coastal, continent, doc/noaa/nos/ocm, exclusive economic zone, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, planning, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
R-Factor for the Island of Lanai

The rainfall-runoff erosivity factor (R-Factor) quantifies the effects of raindrop impacts and reflects the amount and rate of runoff associated with the rain. The R-factor is one of the parameters used by the Revised Unified Soil Loss Equation (RUSLE) to estimate annual rates of erosion. This product is a raster representation of R-Factor derived from isoerodent maps published in the Agriculture Handbook Number 703 (Renard et al.,1997). Lines connecting points of equal rainfall ersoivity are called isoerodents. The iserodents plotted on a map of the Island of Lanai were digitized, then values between these lines were obtained by linear interpolation. The final R-Factor data are in raster GeoTiff format at 30 meter resolution in UTM, Zone 4, GRS80, NAD83.

Tags: agriculture, central pacific ocean, coastal zone, continent, doc/noaa/nos/ocm, earth science, environmental monitoring, erosion, erosion/sedimentation, hawaii, hawaiian islands, lanai, land surface, national ocean service, noaa, north america, ocean, office of coastal management, opennspect, pacific ocean, r-factor, rainfall-runoff erosivity, revised universal soil loss equation, runoff, rusle, rusle2, soil erosion, soils, surface water, surface water processes/measurements, terrestrial hydrosphere, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
National Estuarine Research Reserve System

The National Estuarine Research Reserve System is a network of 30 coastal sites designated to protect and study estuarine systems. Established through the Coastal Zone Management Act, the reserves represent a partnership program between NOAA and the coastal states. NOAA provides funding and national guidance, and each site is managed on a daily basis by a lead state agency or university with input from local partners.

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

These data represent federal and state lightering zones within U.S. waters. Lightering is the transfer of a cargo of oil in bulk from one oil tanker less than 150 gross tons to another oil tanker less than 150 gross tons, or a cargo of hazardous material in bulk from one vessel to another. Lightering is often used to reduce vessel draft prior to entering a port. A lightering zone is an area were lightering is either designated, prohibited, has traditionally occurred, or where restrictions are in place to ensure or constrain lightering activities.

Tags: coastal, continent, doc/noaa/nos/ocm, exclusive economic zone, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, planning, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2014 Metro, Oregon 4-Band 8 Bit Imagery

These data are LiDAR orthorectified aerial photographs (8-bit GeoTIFF format) within the Oregon Lidar Consortium Portland project area. The imagery coverage is extended a minimum of  beyond the project AOI. A GSD (Ground Sample Distance) resolution of 3 inch was used for each four-band color pixel. QSI recommends viewing the orthoimagery in ESRI ArcMap software using a raster catalog. For best results, stretch type should be set to 'None' and Gamma Stretch should not be applied (Layer Properties -&gt; Symbology Tab). The circuit is projected in OGIC. Units are in International feet.
Original contact information: 
   Contact Org: Oregon Lidar Consortium
   Title: Data Production Manager
   Phone: 971-673-1557
   Email: jacob.edwards@dogami.state.or.us

Tags: 2014, aerial photographs, airplane, august, cameras, cir, color infrared, continent, digital orthophoto, doc/noaa/nos/ocm, earth science, imagery, infrared imagery, infrared wavelengths, national ocean service, nir, noaa, north america, office of coastal management, or, oregon, ortho, portland, spectral/engineering, u.s. department of commerce, united states, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Massachusetts based on 2000 Census Block Groups

This data depicts the social vulnerability of Massachusetts 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, massachusetts, national ocean service, noaa, north america, office of coastal management, population, population estimates, poverty levels, resilience, social behavior, social vulnerability index, socioeconomics, u.s. department of commerce, united states, united states of america, vulnerability, vulnerability levels/index
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
End-User Derived Research to Improve the Effectiveness, Sustainability, and Prevalence of Coastal Restoration Projects - NERRS/NSC(NERRS Science Collaborative)

To restore the ecosystem services lost through coastal habitat degradation, restoration projects have been conducted but most lack monitoring or evaluations. Limited monitoring and evaluation prevents comparisons across designs to determine which are the most functional sustainable, and cost-effective. Additionally, information about the advantages of and how to perform restoration projects is currently limited. Limited comparisons across restoration designs and the sparse information on how to conduct restoration projects significantly hinders the implementation of projects. This project team engaged researchers, environmental managers, stakeholders, and end-users to address some of these issues. The team quantified the functionality, sustainability, and cost-effectiveness of several coastal restoration designs at the Weeks Bay National Estuarine Research Reserve. The designs compared plots planted with nursery grown plugs with plots comprised of standing natural marsh both with and without offshore breakwaters. The study found that offshore breakwaters enhanced natural plant growth, but not nursery grown plants. However, it is possible that this effect is time dependent as the positive effect on natural plant growth was seen beginning six years after breakwater installation while the nursery plants had only been planted two and a half years ago. Information gained from this research and the regulatory knowledge of the collaborative team have been combined with pre-existing literature to create user friendly outreach materials and workshop for consultants, landscapers, and marine contractors. This research and outreach will improve the effectiveness and ease of implementation of coastal restoration projects.

Tags: al, atmospheric/ocean indicators, biosphere, climate indicators, coastal, coastal processes, doc/noaa/nos/ocm, earth science, earth science services, ecosystems, education/outreach, environmental governance/management, florida, human dimensions, inundation, land surface, landscape, marine ecosystems, marshes, mississippi, national ocean service, nerrs, noaa, oceans, office of coastal management, reclamation/revegetation/restoration, sea level rise, shorelines, u.s. department of commerce, weeks bay nerr
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
San Francisco Bay Multi-beam Bathymetry: Area A

These multi-beam bathymetric data were collected over shallow subtidal areas in the San Francisco Bay estuary system. Bathymetric and acoustic backscatter data were collected simultaneously in 84 survey blocks.  Seventy five of these blocks were surveyed with 100% cover of backscatter imagery and nine blocks were surveyed with 50% backscatter coverage.  These data were collected as source material for planned benthic habitat mapping. An earlier project had been completed to map the very-shallow subtidal and intertidal areas. These mosaics were collected with the Reson Seabat 7101 multibeam sonar system in the San Francisco Bay. For this San Francisco Bay habitat mapping project, seven survey blocks were acquired with the Reson 7101 sonar, as these seven areas contained water depths that were predominantly deeper than 20 meters.
Original contact information: 
   Contact Name: Jen Eckerle
   Contact Org: California Ocean Protection Council (OPC)
   Title: Deputy Director, OPC
   Phone: 916-653-9416
   Email: jen.eckerle@resources.ca.gov

Tags: benthic, biosphere, california, california ocean protection council, california seafloor mapping program (csmp), coastal, continent, contra costa county, doc/noaa/nos/ocm, earth science, ecosystems, estuary, marin county, marine ecosystems, national ocean service, noaa, north america, office of coastal management, reson seabat 7101, san francisco bay, san francisco county, san mateo county, solano county, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2008 NOAA Integrated Ocean and Coastal Mapping (IOCM) LiDAR: North Carolina and Virginia

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote
Sensing Division using an OPTECH ALTM system.  The data includes topographic data in an LAS format file.

Original contact information: 
   Contact Org: 
National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS),
National Geodetic Survey (NGS), Remote Sensing Division

   Title: Chief, Remote Sensing Division
   Phone: 301-713-2663

Tags: 20080317, 20080327, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, land surface, lidar, national ocean service, noaa, north america, north carolina, oceans, office of coastal management, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Military Flight Tracks

Flight Tracks are designated airspace used by aircraft in support of training requirements or national defense. 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
2017 Grand Bay NERR UAS 4-band Imagery

Data was gathered by use of VIS and BGNIR UAV sensors. UAV flight altitude is at least 100m and covers an area of 0.91 km2. Data was collected between May 9, 2017 and May 11, 2017 from the Grand Bay NERR site in Mississippi, A 4-Band raster image then was produced after consolidating data.
Data was acquired by contract from NOAA to Quantum Spatial with a subcontract to PrecisionHawk. Specifications were for 4-band imagery at 3 cm resolution from an unmanned aerial system (UAS).
The collection area consists of four areas within the Grand Bay National Estuarine Research Reserve and focus on the NOAA sentinel sites. This was part of a research project funded by a grant from the NOAA UAS Office to the NOAA Office for Coastal Management.

Tags: airplane, cameras, continent, doc/noaa/nos/ocm, earth science, imagery, infrared imagery, infrared wavelengths, mississippi, national ocean service, noaa, north america, office of coastal management, spectral/engineering, u.s. department of commerce, united states of america, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2017 NOAA NGS Topobathy Lidar DEM (with voids): Fort Lauderdale to Miami (FL)

These data were collected by the National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Devision (RSD), Coastal Mapping Program (CMP) using a Riegl VQ880G system. Quantum Spatial Inc (QSI) was contracted by NOAA to process the topobathymetic LiDAR data.  The NOAA Miami Florida Intracoastal Topobathy (Miami Intracoastal) data were acquired from 20170224 - 20170310 in five missions. The Miami Intracoastal dataset includes topobathy data in a LAS 1.2 format file with the following classification: unclassified (1), ground (2), noise (7), overlap default (19), overlap ground (20), overlap water column (21), water column (25), bathymetric bottom or submerged topography (26), submerged feature (29), and temporal bathy bottom (31) in accordance with project specifications. The contracted project consists of approximately 53,381 acres along the Atlantic Coast of Miami, Florida.  This dataset delivery represents the full NOAA Miami Florida Intracoastal Topobathy LiDAR Processing area. LAS files were compiled by 500 m x 500 m tiles. The final classified LiDAR data were then used to create topobathymetric DEMs in IMG format with 1m pixel resolution. This Miami Intracoastal dataset represents an area covering 15 - 5000 m x 5000 m DEM tiles.

Tags: 20170224, 20170225, 20170302, 20170309, 20170310, bathymetry, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, coris, country/territory, dem, dems, doc/noaa/nos/ocm, earth science, florida, geographic information, land surface, lidar, 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
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Texas North 2

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 North 2 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 Brazoria, Chambers, Galveston, Harris, and Liberty Counties.
      
The DEM was produced from the following lidar data sets:
      1. 2018 TNRIS Lidar: Upper Coastal Lidar
      2. 2017 TNRIS Lidar: Jefferson, Liberty, and Chambers
      3. 2016 FEMA Region 6 TX - Neches Basin QL2 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: bathymetry/topography, brazoria county, chambers county, coastal processes, continent, dem, digital elevation model, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, elevation, flooding, galveston county, geomorphic landforms/processes, harris county, inundation, land surface, liberty county, lidar, national ocean service, noaa, north america, office of coastal management, sea level changes, sea level rise, terrain elevation, texas, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce