2016 Scottish Natural Heritage (SNH) Sound of Barra underwater video and benthic infaunal grab survey

Data Team1

1 

Corresponding author(s): ,  (dassh.enquiries@MBA.ac.uk)

Received {date}; Revised {date}; Accepted {date}; Published {date}

Citation: Combination of authors, year of data paper publication (in parentheses), Title, Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.

Resource Citation

Scottish Natural Heritage (SNH) (2020): 2016 Scottish Natural Heritage (SNH) Sound of Barra underwater video and benthic infaunal grab survey. v2.1. Marine Biological Association. Dataset/Samplingevent. https://doi.org/10.17031/q8twtu https://doi.org/10.17031/q8twtu

Abstract

This work consisted of 35 quantitative drop-down video drift survey sites and 72 infaunal grab samples and granulometry samples for Particle Size Analysis. This was targeted to 9 sampling boxes located within and outside the eastern side of the Sound of Barra SAC. Digital still photographs were taken at intervals of the video survey to enable description of seabed structure and species assemblages. The main aims of this investigation were to: (1) improve knowledge of the occurrence and distribution of species and habitats of recognized conservation importance (in particular, refining the distribution of Habitats Directive Annex 1 habitats); (2) determine the current condition of the maerl and coarse sediment habitats on the eastern side of the Sound of Barra SAC; and (3) contribute towards site condition monitoring of the SAC. This constituted the FRV Alba Na Mara cruise 0616A. 

Keywords: Samplingevent

Data published through GBIF: https://www.dassh.ac.uk/ipt/resource?r=dasshdt00000442

Datasets

Dataset description
Object name: Darwin Core Archive 2016 Scottish Natural Heritage (SNH) Sound of Barra underwater video and benthic infaunal grab survey
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: https://www.dassh.ac.uk/ipt/archive.do?r=dasshdt00000442
Publication date of data: 2020-07-22
Language: English
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

Metadata language: English
Date of metadata creation: 2020-07-22
Hierarchy level: Dataset