AndreaBozzo/ceres-open-data-index huggingface dataset:
2023 NOAA Topobathy Lidar: Northern Lake Michigan & Northern Lake Huron, MI

Product: This topobathy lidar dataset consists of processed classified LAS 1.4 files used to create intensity images and topobathymetric DEMs as necessary.
Three project areas for this dataset are:
1. Lansing Shoals - 4273 individual 500 m x 500 m tiles
2. Green Bay - 1837 individual 500 m x 500 m tiles
3. Lake Huron - 2871 individual 500 m x 500 m tiles
      
Geographic Extent: The Michigan coastline along parts of northern Lake Michigan and northern Lake Huron, covering approximately 627 square miles. 
1. Lansing Shoals portion (Lake Michigan) of the AOI covers approximately 311 square miles
2. Green Bay portion (Lake Michigan) of the AOI covers approximately 116 square miles
3, Lake Huron portion of the AOI covers approximately 200 square miles

Dataset Description: The Great Lakes Topobathymetric Lidar project called for the planning, acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 1 meter for bathymetric areas. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), UTM zones 16N and 17N, meters and vertical datum of NAVD88 (Geoid 18), meters.

Ground Conditions: 
1. Lansing Shoals - Lidar was collected for the Lansing Shoals region from September 14, 2023 to September 25, 2023, while no snow was on the ground and rivers were at or below normal levels

2. Green Bay - Lidar was collected for the Green Bay region from September 28, 2023 to October 5, 2023, while no snow was on the ground and rivers were at or below normal levels. 

3, Lake Huron - Lidar was collected for the Northern Lake Huron region from September 16, 2023 to October 4, 2023, while no snow was on the ground and rivers were at or below normal levels.

Tags: airplane, bathymetry, bathymetry/seafloor topography, coastal bathymetry, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, great lakes, land surface, lidar, light detection and ranging, michigan, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2024 USACE SAM Topographic Lidar: Lake Seminole (AL, FL, GA)

Original Data: These files contain topographic lidar elevations generated from data collected using a Teledyne ALTM Galaxy PRIME sensor. Native lidar data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. Horizontal positions, provided in decimal degrees of latitude and longitude, are referenced to the North American Datum of 1983 National Adjustment of 2011 (NAD83 (2011)). Vertical positions are referenced to the NAD83 (2011) ellipsoid and provided in meters. The 3-D position data are sub-divided into a series of LAS files, which are tiled into 1-km by 1-km boxes defined by the Military Grid Reference System.

The data were provided to the NOAA Office for Coastal Management (OCM) by the USACE Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) to make the data publicly available for bulk and custom downloads from the NOAA Digital Data Access Viewer (DAV).

Tags: airplane, alabama, coastal elevation, coastal landforms, coastal processes, continent, doc/noaa/nos/ocm, dod/usarmy/usace/sam/mobile/opj/jalbtcx, earth science, florida, geomorphic landforms/processes, georgia, joint airborne lidar bathymetry technical center of expertise, land surface, lidar, light detection and ranging, mobile district, national coastal mapping program (ncmp), national ocean service, noaa, north america, oceans, office of coastal management, south atlantic division, teledyne altm galaxy prime (galaxy), terrain elevation, topography, u.s. army, u.s. army corps of engineers, u.s. army corps of engineers (usace), u.s. department of commerce, u.s. department of defense, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2018 NOAA National Geodetic Survey Topobathy Lidar DEM (interpolated): Potomac River, Chesapeake Bay

These data were collected by Quantum Spatial, Inc. (QSI) for the National Oceanic and Atmospheric Administration (NOAA), National Geodetic Survey (NGS), Remote Sensing Division (RSD), Coastal Mapping Program (CMP) using a Riegl VQ880G system. The Initial Award lidar data were acquired from 20180215 - 20180417 in eighteen missions. The 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), submerged aquatic vegetation (30), temporal bathy bottom (31), and unclassified withheld/edge clip (129) in accordance with project specifications. The contracted project consists of approximately 309.125 square miles (197,840 acres) of the states of Virginia and Maryland covering the confluence of the Potomac River and the Chesapeake Bay. To ensure complete coverage and adequate point densities around survey area boundaries, the Area of Interest (AOI) was buffered by 100m. The full Initial Award project area including buffered area is approximately 478.151 square miles (306,017 acres). LAS files were compiled by 500 m x 500 m tiles. The final classified LiDAR data were then transformed to orthometric heights and used to create topobathymetric DEMs in IMG format with 1m pixel resolution.

Tags: 20180215, 20180417, bathymetry, bathymetry/seafloor topography, chesapeake bay, coastal elevation, coastal processes, continent, dems, doc/noaa/nos/ocm, earth science, maryland, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, u.s. department of commerce, united states of america, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Developing and Integrating Social Measures of Estuarine Restoration Success - NERRS/NSC(NERRS Science Collaborative)

Understanding why estuarine habitat restoration is viewed as successful or not is critical for evaluating completed projects and garnering support for future projects. Particularly important, and often overlooked, are the perceptions of partners and the surrounding community which play an integral role in shaping the future of coastal habitats. Restoration metrics rarely include human dimensions even though community support for restoration can promote or thwart potential projects and the long-term success of completed projects. Working with the South Slough NERR, this catalyst project worked to more fully account for and understand the impacts of estuarine habitat restoration by developing social metrics for restoration success and linking them to ecological monitoring metrics.

Using South Slough NERR, The Wetlands Conservancy, and other restoration projects in Oregon as case studies, the project involved a two-pronged approach to data collection: 1) synthesis of existing and newly collected ecological data from nine salt marsh restoration projects to derive commonly used ecological metrics and 2) focus groups in three Oregon locations (South Slough, Alsea, and Yaquina) to understand public perceptions about marshes. The team then connected the social and ecological datasets conceptually to create a matrix linking the datasets and indicating mismatches between ecological data and social values. Based on these steps, the team was able to provide recommendations to help improve restoration design and implementation, including more inclusive and effective communications surrounding estuarine restoration.

Tags: alsea bay, channel complexity, doc/noaa/nos/ocm, ecological report mining, human values, hydrology, manager priorities, marsh restoration values, national ocean service, nerrs, noaa, office of coastal management, or, photopoint, q-methodology, q-sort, restoration assessment, restoration data, saltmarsh channel, sinuosity, social indicators, south slough nerr, subjective measurement, u.s. department of commerce, vegetation, yaquina bay
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Identifying Optimal Foraging Characteristics to Inform Piping Plover and Red Knot Habitat Management - NERRS/NSC(NERRS Science Collaborative)

Shorebird populations are declining globally in the face of sea level rise, increasing coastal
development, and shoreline modifications. The piping plover (Charadrius melodus) and red knot
(Calidris canutus) have exhibited population declines in recent years. The piping plover is a federally listed species that spends most of the year in its wintering range, including intertidal habitats in South Carolina. Recent research has established linkages between benthic prey abundance and foraging activity along South Carolina beaches; however, most of these projects focused on determining impacts from shoreline modification, rather than quantifying habitat characteristics. Identifying characteristics associated with optimal foraging habitat would help inform state and federal permitting and habitat management activities in areas these shorebirds inhabit.

A project team at the South Carolina Department of Natural Resources worked with the ACE Basin NERR, U.S. Fish and Wildlife Service, and other partners, including beach communities and conservation groups, to develop a habitat assessment tool for the piping plover. This easy-to-use tool was derived from new data collections in areas of high foraging activity, application of new genetic tools to distinguish preferred prey, and reanalysis of a decade of sampling data collected along the South Carolina coast. The tool allows for identification of important habitats and provides the user (e.g., state or federal biologist making recommendations about permit applications such as beach nourishment) an understanding of what is unique about each of these areas. Information was collected to further knowledge of red knot foraging areas, but more work is needed before there is sufficient information to develop a similar tool for red knots.

Tags: ace basin, aerial imagery, benthic habitat, doc/noaa/nos/ocm, fecal analysis, intertidal habitat, national ocean service, nerrs, noaa, office of coastal management, piping plover, prey, sc nerr, shorebird, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2017 NOAA/OCM Unmanned Aerial System Lidar: Grand Bay NERR

Quantum Spatial (QSI) and PrecisionHawk (PH) collected lidar for test sites within the Grand Bay National Estuarine Research Reserve (NERR) using an unmanned aerial system (UAS).  Four sites were flown, covering a total of 177 acres. A fixed-wing PH Lancaster (revision 5) platform was used, carrying a Velodyne Puck VLP-16 based lidar system. The system provides 2 returns (strongest and last) with a pulse rate of 300 kHz using a 903 nm wavelength laser. Flights were conducted from May 9-11, 2017 and were flown at 50 meters above ground level.

Specifications for the collection included 30 pulses per square meter and 0.10 meter RMSE vertical accuracy in non-vegetated areas. The average first return density was over 105 points per square meter with an average ground classified density of over 3 points per square meter.

Deliverables included the lidar point cloud in LAS/LAZ format. Data were delivered in UTM zone 16 NAD83(2011) horizontally and NAVD88 (Geoid12b) meters vertically.
Lidar point clouds were projected back to geographic coordinates for storage in the Digital Coast Data Access Viewer and the vertical datum was converted to the ellipsoid.

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: bare earth, bare ground, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, drone, earth science, high-resolution, land surface, lidar, light detection and ranging, mississippi, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, uas, united states of america, unmanned aerial system
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Land Use and Environmental Effects on Greenhouse Gas Emissions and Carbon Sequestration in Pacific Northwest Tidal Wetlands - NERRS/NSC(NERRS Science Collaborative)

By bridging scientific inquiry and climate policy implementation, this project filled key regional blue carbon data gaps and expanded blue carbon data accessibility to facilitate the development of climate mitigation strategies.

The Project
Blue carbon refers to the carbon sequestered and stored in tidal wetlands such as tidal swamps, salt marshes, and seagrass meadows (and mangrove forests at tropical and subtropical latitudes). Blue carbon ecosystems are especially effective at capturing and storing carbon, often storing disproportionately large amounts of carbon on a per acre basis. However, tidal wetlands can also emit varying amounts of greenhouse gases (GHGs)-including carbon dioxide, methane, and nitrous oxide-which can reduce or offset their net climate benefit.

To fill regional data gaps associated with GHG emissions and carbon accumulation rates in Pacific Northwest (PNW) tidal wetlands and investigate how net ecosystem carbon balance differs among wetland types and land uses, a project team of PNW Blue Carbon Working Group members partnered with two National Estuarine Research Reserves and other collaborators to plan and implement this project. This project was built on partnerships developed through previous Science Collaborative efforts and addressed key data gaps and research priorities identified in those earlier projects (see: 2016 Collaborative Research and 2018 Catalyst Project).

Through new data collection across five estuaries and continued engagement with partners, the project team examined how net ecosystem carbon balance differs among wetland types and land uses, quantified blue carbon-ecosystem driver relationships, expanded the regional blue carbon database, and provided new data to the Smithsonian's Coastal Carbon Research Coordination Network working group to help validate a national methane emissions model.

Significant findings included:

Most project sites with salinity >2-3 ppt showed reduced methane fluxes.
Highest methane emissions occurred in wet pastures and restored marshes, especially those with low salinity and high water table.
Carbon accumulation rates were highest in restored marshes, somewhat lower in least-disturbed marshes and swamps, and lowest in diked pastures.
Carbon accumulation rates varied within wetland categories, primarily due to local differences in growing season water table level.

Tags: accretion, aquatic ecosystems, biosphere, carbon accumulation rate, doc/noaa/nos/ocm, earth science, ecosystems, elevation, estuarine wetlands, greenhouse gas emissions, groundwater, national ocean service, nerrs, noaa, office of coastal management, or nerr, pacific northwest, par, plant composition, plant cover, rtk-gnss, salinity, set, soil temperature, soils, south slough, surface elevation change, temperature, tidal marsh, tidal swamp, tidal wetlands, u.s. department of commerce, vegetation, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2010 Northwestern Hawaiian Islands Lidar - Pearl and Hermes

The U.S. Geological Survey (USGS) contracted with Hawaii-based Aerial Surveying, Inc. to collect lidar-derived elevation data over the low-lying areas within the northwestern Hawaiian Islands (NWHI) during the summer of 2010. A separate contract issued to Aerial Surveying, Inc. by the National Oceanic and Atmospheric Administration (NOAA) funded the lidar data processing and elevation data product development phases of the project. Lidar data provide high resolution digital elevation models that are used for many applications, including but not limited to sea level rise modeling, habitat assessments, and tsunami inundation modeling. In April 2011, NOAA Papahanaumokuakea Marine National Monument and NOAA Office for Coastal Management deployed a survey crew to the NWHI to collect high accuracy point data to validate the 2010 lidar data. The survey crew used survey-grade Global Positioning System (GPS) receivers to collect high accuracy elevation points.  
      
      This metadata covers the information for Pearl and Hermes.

      This dataset contains lidar point clouds in LAS 1.2 format, classified in the following ASPRS standards as Class 1: Unclassified, Class 2: Ground, and Class 9: Water.

      The following are the equipment used to create the lidar data sets. 

      Aircraft: Beechcraft Queen Air
      Lidar Systems: Riegl 140 and 240
      
      Accuracy statements are based on areas of open terrain, with points classified as ground. The accuracy of each point is expected to meet the vertical accuracy standard, derived products may be less accurate in areas of extreme terrain and dense vegetation due to a lesser number of points defining the ground in these areas. 

      Classified data sets such as this one may have varying posting due to some pulses not reaching the ground.

      This work was conducted under permit number PMNM-2010-033 as approved by NOAA, the U.S. Fish and Wildlife Service (USFWS), and the State of Hawaii, and acknowledged by Dr. Charles L. Littnan of NOAA's Pacific Islands Fisheries Science Center.
      
Original contact information: 
   Contact Name: Lidar Manager
   Contact Org: Aerial Surveying Inc.
   Title: Lidar Manager
   Phone: (808) 327-9439

Tags: 2010, bare-earth, bathymetry/seafloor topography, class 1: unclassified, class 2: ground, class 9: water, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, hawaii, july, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, terrain, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2022 NOAA Topobathy Lidar: Morro Bay, CA

Morro Bay 2022 Topobathymetric Lidar project data were collected by NV5 Geospatial (NV5) using a Riegl VQ880GII system. Morro Bay 2022 acquisition occurred on 20220614 in two missions. The Morro Bay 2022 dataset includes topobathymetric lidar data in a LAS format 1.4, point data record format 6, with the following classifications in accordance with project specifications and the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards with the topobathymetric lidar domain profile:
			1   - unclassified
			1O  - edge clip
			2   - ground
			7W  - low noise
			9   - NIR water surface
			18W - high noise
			40  - bathymetric bottom or submerged topography
			41  - Green water surface
                        43  - Submerged object, not otherwise specified (For Morro Bay, oyster reefs have this classification, 
                                 even though exposed at low tide)
			45  - water column
This dataset also includes lidar intensity values, number of returns, return number, time, and scan angle. The 100 meter buffered project area covers approximately 4,215 acres along the south central Pacific Coast of California near the town of Los Osos. LAS files were compiled in 500 m x 500 m tiles and clipped to the project boundary. The final classified lidar data were used to create topobathymetric bare earth DEMs in GeoTIFF format with 1m pixel resolution. This delivery of the Morro Bay 2022 dataset represents an area covering 97 - 500 m x 500 m LAS tiles clipped to the project boundary. This Project was completed in partnership between NOAA OCM and the NEP.

In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

Tags: airplane, bathymetry, bathymetry/seafloor topography, california, coastal bathymetry, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
The Olympia & Pacific Oyster Data Portal

Locations (i.e., "records") of Ostrea lurida (Olympia oysters) and Magallana gigas (Pacific oysters) observed 1602 to 2020 along the west coast of North America. Records are denoted as absent, present, rare (1-100 oysters), or common (>100 oysters) along a 20-m linear stretch of coastline. Also included are hypothesized adult and larval networks and their associated connections.

Tags: abundance, animals/invertebrates, baja california, biological classification, biosphere, bivalves, british columbia, canada, connectivity, conservation, crassostrea gigas, distribution, doc/noaa/nos/ocm, earth science, ecosystems, estuary, fragmentation, historic data, isolation, larval, magallana gigas, marine ecosystems, mexico, mollusks, national ocean service, nerrs, network, noaa, non-native, north america, office of coastal management, olympia oyster, ostrea lurida, oyster, oyster reef, oysters, pacific coast, pacific oyster, population, presence, reef, u.s. department of commerce, united states, west coast
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  East River to Long Island Sound, NY, NY1933C

These data were automated to provide an accurate high-resolution historical shoreline of  East River to Long Island Sound, NY  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, east river to long island sound, national geodetic survey, national geospatial data asset, national ocean service, new york, ngda, ngs shoreline, noaa, noaa shoreline, north america, t-sheet, tp-sheet, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce