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2017-2018 Benthic bycatch from dredge surveys for seed mussel (Mytilus edilus) stock assessment, Outer Ards, Northern Ireland

Publisher
Marine Environmental Data & Information Network
Updated
16 June 2025
Topic
Not set
Licence
Not set

Summary

This dataset contains presence/absence information of infaunal bycatch from seed mussel stock (Mytilus edulis) assessment surveys off the Outer Ards Peninsula in Northern Ireland. The seed mussel survey is carried out each year and this particular dataset contains the bycatch information from initial ground truthing (dredge) on these surveys from 2017-02 to 2018-07. The dredge samples are taken from the DAERA Fisheries Protection Vessel Queen of Ulster (formally Banrion Uladh). The main aim of the seed mussel survey is to carry out a stock assessment of seed mussel in areas that are fished for these mussels. The stock assessment surveys use acoustic ground discrimination system (AGDS), dredge surveys (ground truthing) and then in areas where there appears to be high levels of seed mussel an underwater video camera sledge is towed from the RV Corystes for more ground truthing. In total there were 42 dredge tows carried out that contained bycatch in this dataset. It is important to note that the information in this dataset was not the key focus of these surveys. The most common species found were Laminaria species.

Data links

Link Format Preview Updated
DOI Link 16/6/2025

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Additional information

Source Metadata
XML, HTML
Date added
27 May 2025
Harvest GUID
3770386de4ddb72452f718b1bf4732c5
Extent (Latitude)
54.7249° to 54.2648°
Extent (Longitude)
-5.5413° to -4.9370°
Dataset reference date (publication)
2019-01-08
Dataset reference date (revision)
2021-11-10
Dataset reference date (creation)
2018-07-25
Frequency of update
continual
Access constraints
Open access; CC-BY (https://creativecommons.org/licenses/by/4.0/)
Responsible party
Agri-Food and Biosciences Institute (AFBI) (owner, originator); Data Archive for Marine Species and Habitats (custodian, distributor)
ISO 19139 resource type
dataset
Metadata language
eng