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LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea
BACKGROUND: This paper describes a phytoplankton data series generated through systematic observations in the Belgian Part of the North Sea (BPNS). Phytoplankton samples were collected during multidisciplinary sampling campaigns, visiting nine nearshore stations with monthly frequency and an additio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pensoft Publishers
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758308/ https://www.ncbi.nlm.nih.gov/pubmed/33376438 http://dx.doi.org/10.3897/BDJ.8.e57236 |
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author | Amadei Martínez, Luz Mortelmans, Jonas Dillen, Nick Debusschere, Elisabeth Deneudt, Klaas |
author_facet | Amadei Martínez, Luz Mortelmans, Jonas Dillen, Nick Debusschere, Elisabeth Deneudt, Klaas |
author_sort | Amadei Martínez, Luz |
collection | PubMed |
description | BACKGROUND: This paper describes a phytoplankton data series generated through systematic observations in the Belgian Part of the North Sea (BPNS). Phytoplankton samples were collected during multidisciplinary sampling campaigns, visiting nine nearshore stations with monthly frequency and an additional eight offshore stations on a seasonal basis. NEW INFORMATION: The data series contain taxon-specific phytoplankton densities determined by analysis with the Flow Cytometer And Microscope (FlowCAM®) and associated image-based classification. The classification is performed by two separate semi-automated classification systems, followed by manual validation by taxonomic experts. To date, 637,819 biological particles have been collected and identified, yielding a large dataset of validated phytoplankton images. The collection and processing of the 2017–2018 dataset are described, along with its data curation, quality control and data storage. In addition, the classification of images using image classification algorithms, based on convolutional neural networks (CNN) from 2019 onwards, is also described. Data are published in a standardised format together with environmental parameters, accompanied by extensive metadata descriptions and finally labelled with digital identifiers for traceability. The data are published under a CC‐BY 4.0 licence, allowing the use of the data under the condition of providing the reference to the source. |
format | Online Article Text |
id | pubmed-7758308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Pensoft Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-77583082020-12-28 LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea Amadei Martínez, Luz Mortelmans, Jonas Dillen, Nick Debusschere, Elisabeth Deneudt, Klaas Biodivers Data J Data Paper (Biosciences) BACKGROUND: This paper describes a phytoplankton data series generated through systematic observations in the Belgian Part of the North Sea (BPNS). Phytoplankton samples were collected during multidisciplinary sampling campaigns, visiting nine nearshore stations with monthly frequency and an additional eight offshore stations on a seasonal basis. NEW INFORMATION: The data series contain taxon-specific phytoplankton densities determined by analysis with the Flow Cytometer And Microscope (FlowCAM®) and associated image-based classification. The classification is performed by two separate semi-automated classification systems, followed by manual validation by taxonomic experts. To date, 637,819 biological particles have been collected and identified, yielding a large dataset of validated phytoplankton images. The collection and processing of the 2017–2018 dataset are described, along with its data curation, quality control and data storage. In addition, the classification of images using image classification algorithms, based on convolutional neural networks (CNN) from 2019 onwards, is also described. Data are published in a standardised format together with environmental parameters, accompanied by extensive metadata descriptions and finally labelled with digital identifiers for traceability. The data are published under a CC‐BY 4.0 licence, allowing the use of the data under the condition of providing the reference to the source. Pensoft Publishers 2020-12-16 /pmc/articles/PMC7758308/ /pubmed/33376438 http://dx.doi.org/10.3897/BDJ.8.e57236 Text en Luz Amadei Martínez, Jonas Mortelmans, Nick Dillen, Elisabeth Debusschere, Klaas Deneudt http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Data Paper (Biosciences) Amadei Martínez, Luz Mortelmans, Jonas Dillen, Nick Debusschere, Elisabeth Deneudt, Klaas LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea |
title | LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea |
title_full | LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea |
title_fullStr | LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea |
title_full_unstemmed | LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea |
title_short | LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea |
title_sort | lifewatch observatory data: phytoplankton observations in the belgian part of the north sea |
topic | Data Paper (Biosciences) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758308/ https://www.ncbi.nlm.nih.gov/pubmed/33376438 http://dx.doi.org/10.3897/BDJ.8.e57236 |
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