Abundance of epibenthic fauna on a Deep-Sea Cliff offshore Greenland and the Associated Epibenthic Fauna ...

Abundance data of the epibenthic fauna annotated on each photograph taken with the ROV Isis (NOC, UK) at 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]). Abundances were standardized to 1 m² using the images' tot...

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Bibliographic Details
Main Authors: Van Audenhaege, Loïc, Broad, Emmeline, Hendry, Katharine R, Huvenne, Veerle A I
Format: Dataset
Language:English
Published: PANGAEA 2021
Subjects:
acoustic data
deep-water vertical cliff
DY081
fine-scale spatial patterns
Greenland glacial trough
High-resolution terrain
Labrador Sea
marine habitat mapping
Multibeam Echosounder
ROV
suspension-feeding community
terrain point cloud
top-down habitat mapping
underwater exploration
unsupervised terrain clustering
Vertical mapping
Image number/name
DEPTH, water
LONGITUDE
LATITUDE
Image area
Cluster number
Bin number
Morphospecies
Tube worm
Pycnogonida
Squat lobster
Shrimps
Goose barnacle
Ascidiacea
Reteporella sp.
Bryozoa
Hydrozoa
Corymorpha sp.
Ceriantharia
Actiniaria
Hormathiidae
Amphianthidae
Actinernus nobilis
Actinostolidae
Edwardsiidae
Desmophyllum pertusum
Zoantharia
Paramuricea
Primnoa resedaeformis
Paragorgia arborea
Corallium sp.
Gersemia sp.
Drifa glomerata
Drifa sp.
Greenland
Online Access:https://dx.doi.org/10.1594/pangaea.946919
https://doi.pangaea.de/10.1594/PANGAEA.946919
Description
Summary:Abundance data of the epibenthic fauna annotated on each photograph taken with the ROV Isis (NOC, UK) at 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]). Abundances were standardized to 1 m² using the images' total area. Screenshots of the morphospecies are presented in the morphospecies guide pdf. These data were used to assess for differences in community composition analysis pooled in 20 m² samples defined according to high-resolution terrain abiotic clusters computed in an unsupervised way. ...

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