GENIALG - WP6.1 Species Dataset-longlines
List of macroinvertebrate taxa found in Sacharina latissima and Alaria esculenta cultivated on longlines. Objectives within WP6 of GENIALG: assessing the biodiversity associated with cultivated seaweed. Location of seaweed farm: Ventry Harbour, Ireland. Dataset consists of macroinvertebrate taxa identified and enumerated from 25 cm replicate seaweed samples removed from the longlines. The samples were collected at seven different time points along the growing season in 2018 and 2019. Samples collected as part of the GENIALG project (project ID:
727892, GENIALG - GENetic diversity exploitation for Innovative Macro-ALGal biorefinery, http://genialgproject.eu/). GENIALG was funded by the European Union Horizon2020 programme. The remit of the work was assessing the environmental footprint and ecosystem services provided by seaweed aquaculture in Europe to provide best practice advice to industry.
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Date | 2020-11-18 |
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Date type | Creation: Date identifies when the resource was brought into existence |
Date type | Revision: Date identifies when the resource was examined or re-examined and improved or amended |
Date | 2022-02-11 |
Date type | Publication: Date identifies when the resource was issued |
Date type | Publication: Date identifies when the resource was issued |
Unique resource identifier | 6c69e230-e87e-4b5e-a661-8bb076bd1894 |
Point of contact
Organisation name | Ryan Institute, University of Galway. |
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Delivery point | Ryan Institute |
City | University Road |
Postal code | H91 TK33 |
Country | Ireland |
Electronic mail address | info@universityofgalway.ie |
Linkage | https://www.universityofgalway.ie/ryaninstitute/ |
Role | Originator of Dataset: Originator of Dataset |
Point of contact
Organisation name | Ryan Institute, University of Galway. |
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Delivery point | Ryan Institute |
City | University Road |
Postal code | H91 TK33 |
Country | Ireland |
Electronic mail address | info@universityofgalway.ie |
Linkage | https://www.universityofgalway.ie/ryaninstitute/ |
Role | Publisher: Publisher |
Point of contact
Organisation name | Atlantic Technological University |
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Delivery point | ATU (Galway Campus) |
City | Dublin Road |
Postal code | H91 T8NW |
Country | Ireland |
Electronic mail address | info@atu.ie |
Linkage | https://www.atu.ie/ |
Role | Dataset Holding Organisation: Dataset Holding Organisation |
Point of contact
Organisation name | Marine Institute |
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Delivery point | Rinville |
City | Oranmore |
Postal code | H91 R673 |
Country | Ireland |
Electronic mail address | datarequests@marine.ie |
Linkage | http://www.marine.ie |
Role | Author: Party who authored the resource |
Descriptive keywords
GEMET - INSPIRE themes, version 1.0 | |
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SeaVoX salt and fresh water body gazetteer | Northeast Atlantic Ocean (40W) |
SeaDataNet Agreed Parameter Groups |
Biota composition
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Macroalgae and seagrass
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Aquaculture
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SeaDataNet device categories | optical microscopes |
SeaDataNet Parameter Discovery Vocabulary | Zoobenthos taxonomy-related counts |
SeaVoX Platform Categories | human |
MEDIN data format categories | Database |
Language | English: English |
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Character set | UTF8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 |
Topic category code |
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Supplemental Information | Fariñas-Franco, J.M., Jansen, H., Santa maria San Segundo, J., Coca Tagarro, I., Kennedy, T., Nash, S., Nielsen, D., Fort, A., Sulpice, R. (2021) Interaction and impact of cultivated macroalgae and growing structures on faunal community assemblages and surrounding ecosystems. Project GenialG - GENetic diversity exploitation for Innovative macro-ALGal biorefinery, EC Grant agreement no: 727892 (Jose M. Fariñas-Franco, Ed), Available fromhttps://genialgproject.eu/results/deliverables/ https://genialgproject.eu/wp-content/uploads/2021/11/D6.2-Deliverable-Report_Interaction-and-impact-of-cultivated-algae-and-growing-structures-on-faunal-community-assemblages.pdf |
Reference System Information
Anchor | WGS 1984 |
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Hierarchy level | Dataset: Information applies to the dataset |
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Lineage
Statement | Seaweed samples were collected by hand from a boat at different time points during the 2018 and 2019 growing seasons. Samples were processed for taxonomic identification at the 0.5 mm mesh size resolution. All macroinvertebrates were identified to species level when possible. All names were checked in WoRMS for taxonomical accuracy and the AphiaID noted. All data was entered on a dedicated Microsoft Excel spreadsheet. |
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File identifier | 6c69e230-e87e-4b5e-a661-8bb076bd1894 | ||||
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Metadata language | English | ||||
Character set | UTF8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 | ||||
Hierarchy level | Dataset: Information applies to the dataset | ||||
Date stamp | 2025-02-14T00:00:00 | ||||
Metadata standard name | ISO 19115:2003/19139 | ||||
Metadata standard version | 1.0 | ||||
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