Terrain Point Cloud data of a Deep-Sea Cliff offshore Greenland and the Associated Epibenthic Fauna

DOI

Terrain data retrieved with a forward-looking sonar (Reson7125) the ROV Isis (NOC, UK) used to map a deep-sea wall located offshore the West coast of Greenland (Labrador Sea, [63°51.9'N, 53°16.9'W, depth: 703 to 803 m]) with a high resolution. The file contains a 3D point cloud storing terrain variables derived from the bathymetry [m] and backscatter [nominal unit] extracted at a resolution of 0.3 m. Different terrain descriptors were computed: Slope, Bathymetric Position Index (BPI), Terrain Ruggedness Index, Roughness, Mean and Gaussian curvatures and orientations (Northness and Eastness), at scales of 0.9, 3 and 9 m. Using a Principal Component Analysis (PCA), the terrain descriptors enabled to retrieve 4 terrain clusters and their associated confusion index, to investigate the spatial heterogeneity of the terrain.

Identifier
DOI https://doi.org/10.1594/PANGAEA.942834
Related Identifier https://doi.org/10.1594/PANGAEA.931687
Related Identifier https://doi.org/10.3389/fmars.2021.669372
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.942834
Provenance
Creator Van Audenhaege, Loïc (ORCID: 0000-0003-3973-029X); Broad, Emmeline; Hendry, Katharine R ORCID logo; Huvenne, Veerle A I ORCID logo
Publisher PANGAEA
Publication Year 2021
Funding Reference Horizon 2020 https://doi.org/10.13039/501100007601 Crossref Funder ID 678371 https://cordis.europa.eu/project/id/678371 Isotope CYcling in the LABrador Sea; Horizon 2020 https://doi.org/10.13039/501100007601 Crossref Funder ID 818123 https://doi.org/10.3030/818123 Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; NERC National Capability Funding https://doi.org/10.13039/501100000270 Crossref Funder ID NE/R015953/1 UK NERC Climate Linked Atlantic Sector Science project
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/plain
Size 83.3 MBytes
Discipline Acoustics; Engineering Sciences; Mechanical and industrial Engineering; Mechanics and Constructive Mechanical Engineering
Spatial Coverage (-53.289W, 63.866S, -53.283E, 63.866N)
Temporal Coverage Begin 2017-07-20T00:00:00Z
Temporal Coverage End 2017-07-20T03:49:00Z