LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea

This paper describes a phytoplankton data series generated through systematic observations in the Belgian Part of the North Sea (BPNS). Phytoplankton samples are collected during multidisciplinary sampling campaigns, visiting nine nearshore stations with monthly frequency, and an additional eight of...

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Main Authors: Luz Amadei Martínez, Jonas Mortelmans, Nick Dillen, Elisabeth Debusschere, Klaas Deneudt
Format: Article
Language:English
Published: Pensoft Publishers 2020-12-01
Series:Biodiversity Data Journal
Subjects:
Online Access:https://bdj.pensoft.net/article/57236/download/pdf/
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spelling doaj-1f737fa2544c413abf8912f7032ed7cb2020-12-16T14:00:04ZengPensoft PublishersBiodiversity Data Journal1314-28282020-12-01811810.3897/BDJ.8.e5723657236LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North SeaLuz Amadei Martínez0Jonas Mortelmans1Nick Dillen2Elisabeth Debusschere3Klaas Deneudt4Ghent University, Department of Biology, Laboratory of Protistology & Aquatic EcologyFlanders Marine Institute (VLIZ), Wandelaarkaai 7Flanders Marine Institute (VLIZ), Wandelaarkaai 7Flanders Marine Institute (VLIZ), Wandelaarkaai 7Flanders Marine Institute (VLIZ), Wandelaarkaai 7This paper describes a phytoplankton data series generated through systematic observations in the Belgian Part of the North Sea (BPNS). Phytoplankton samples are collected during multidisciplinary sampling campaigns, visiting nine nearshore stations with monthly frequency, and an additional eight offshore stations on a seasonal basis.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 is 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 is published in a standardized 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 license, allowing use of the data under the condition of providing the reference to the original source.https://bdj.pensoft.net/article/57236/download/pdf/phytoplanktonBelgiummarineLifeWatch Belgium
collection DOAJ
language English
format Article
sources DOAJ
author Luz Amadei Martínez
Jonas Mortelmans
Nick Dillen
Elisabeth Debusschere
Klaas Deneudt
spellingShingle Luz Amadei Martínez
Jonas Mortelmans
Nick Dillen
Elisabeth Debusschere
Klaas Deneudt
LifeWatch observatory data: phytoplankton observations in the Belgian Part of the North Sea
Biodiversity Data Journal
phytoplankton
Belgium
marine
LifeWatch Belgium
author_facet Luz Amadei Martínez
Jonas Mortelmans
Nick Dillen
Elisabeth Debusschere
Klaas Deneudt
author_sort Luz Amadei Martínez
title 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_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_sort lifewatch observatory data: phytoplankton observations in the belgian part of the north sea
publisher Pensoft Publishers
series Biodiversity Data Journal
issn 1314-2828
publishDate 2020-12-01
description This paper describes a phytoplankton data series generated through systematic observations in the Belgian Part of the North Sea (BPNS). Phytoplankton samples are collected during multidisciplinary sampling campaigns, visiting nine nearshore stations with monthly frequency, and an additional eight offshore stations on a seasonal basis.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 is 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 is published in a standardized 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 license, allowing use of the data under the condition of providing the reference to the original source.
topic phytoplankton
Belgium
marine
LifeWatch Belgium
url https://bdj.pensoft.net/article/57236/download/pdf/
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