SHARK - Phyto- and Microzooplankton Data Collected by Imaging FlowCytobots (IFCB) in Swedish and Adjacent Waters

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Descrição

Data is stored in the Swedish Ocean Archive database (SHARK), by the Swedish Meteorological and Hydrological Institute, National Oceanographic Data Centre.Monitoring is performed by Swedish Meteorological and Hydrological Institute. The monitoring is financed by monitoring projects.In short, analysis of phyto- and microzooplankton species composition, abundance and biomass is carried out for the following purposes.To describe temporal trends as well as the intensity and occurrence of blooms.To describe the spatial distribution of species.To identify key species (e.g. dominating, harmful, potential non-indigenous and/or invasive species, as well as indicator species).To provide basic data for complex ecosystem analyses, food web studies, modelling as well as for requirements in the frame of the Marine Strategy Framework Directive of the European Union (MSFD European Union 2008) and the EU Water Framework Directive (WFD European Union 2000).In this dataset you will find data from Tangesund oceanographic platform, Swedish Skagerrak coast year 2016 (IFCB110), and from R/V Svea (https://vocab.nerc.ac.uk/collection/C17/current/77SE/) from year 2022 onwards (IFCB134). Other sampling platforms are possible.

Registros de Dados

Os dados deste recurso de evento de amostragem foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 17.731 registros.

Também existem 2 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.

17731

1111062

121103

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

Swedish Meteorological and Hydrological Institute (2024). SHARK - Phyto- and Microzooplankton Data Collected by Imaging FlowCytobots (IFCB) in Swedish and Adjacent Waters

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é The Swedish Meteorological and Hydrological Institute. To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: a28ecb21-884c-4cc1-8e95-f0ec703609bd. The Swedish Meteorological and Hydrological Institute publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Sweden.

Palavras-chave

Samplingevent; Plankton

Contatos

SHARK SMHI

Provedor Dos Metadados ●
Originador ●
Ponto De Contato

Data manager

Swedish Meterological and Hydrological Institute (SMHI)

shark@smhi.se

Cobertura Geográfica

N/A

Coordenadas delimitadoras	Sul Oeste [54,833, 5,804], Norte Leste [65,166, 23,821]

Cobertura Taxonômica

Nenhuma descrição disponível

Reino	Chromista, Plantae, Protozoa, Bacteria
Filo	Cyanobacteria, Myzozoa, Chlorophyta, Cercozoa, Cryptophyta, Euglenozoa, Bacillariophyta, Ochrophyta, Ciliophora
Class	Dinophyceae, Chrysophyceae, Raphidophyceae, Cryptophyceae, Pyramimonadophyceae, Trebouxiophyceae, Oligotrichea, Dictyochophyceae, Euglenophyceae, Cyanophyceae, Chlorophyceae, Litostomatea, Thecofilosea, Ulvophyceae, Bacillariophyceae
Ordem	Gonyaulacales, Ulotrichales, Thalassionematales, Gymnodiniales, Lithodesmiales, Eutreptiales, Coscinodiscales, Fragilariales, Dictyochales, Chaetocerotanae incertae sedis, Thalassiosirales, Cyclotrichiida, Pennales, Thoracosphaerales, Ebriales, Triceratiales, Choreotrichida, Oligotrichida, Chattonellales, Centrales, Dinophysales, Prorocentrales, Chromulinales, Rhizosoleniales, Chlorellales, Bacillariales, Chroococcales, Paraliales, Pyramimonadales, Tovelliales, Leptocylindrales, Pedinellales, Peridiniales, Hemiaulales, Amphidiniales, Cryptomonadales, Nostocales, Sphaeropleales, Licmophorales
Família	Paraliaceae, Gymnodiniaceae, Fragilariaceae, Microcystaceae, Stephanodiscaceae, Tontoniidae, Dictyochaceae, Aphanizomenonaceae, Eutreptiaceae, Thalassiosiraceae, Thalassionemataceae, Dinophysaceae, Coscinodiscaceae, Triceratiaceae, Chattonellaceae, Actinomonadaceae, Metacylididae, Cladopyxidaceae, Protoperidiniaceae, Strombidiidae, Dinobryaceae, Chaetocerotaceae, Skeletonemaceae, Thoracosphaeraceae, Lithodesmiaceae, Leptocylindraceae, Pyramimonadaceae, Pyrocystaceae, Selenastraceae, Binucleariaceae, Ebriaceae, Polykrikaceae, Oxytoxaceae, Nodulariaceae, Oocystaceae, Lingulodiniaceae, Ceratiaceae, Prorocentraceae, Rhizosoleniaceae, Peridiniaceae, Licmophoraceae, Mesodiniidae, Gyrodiniaceae, Gonyaulacaceae, Hemiaulaceae, Kareniaceae, Warnowiaceae, Tovelliaceae, Scenedesmaceae, Heterocapsaceae, Amphidiniaceae, Bacillariaceae

Cobertura Temporal

Data Inicial / Data final	2016-08-10 / 2024-12-15

Métodos de Amostragem

Sampling is performed either using shipboard flow through systems (i.e. FerryBox) where the Imaging FlowCytobot (IFCB) is connected as an addon, or at specific locations with the IFCB is submerged in-situ. Other deployment methods are possible. The IFCB uses flow cytometry technology and high-resolution images to detects particles in a water sample. Shapes in images are identified to best possible taxonomical levels using AI-assisted image analysis software. Volumes are estimated from the organism’s two-dimensional boundary.

Área de Estudo	Data are collected within the following marine ecoregions: http://marineregions.org/mrgid/2401, http://marineregions.org/mrgid/2374, http://marineregions.org/mrgid/2379, http://marineregions.org/mrgid/2350

Descrição dos passos do método:

The analysis follows the methods provided - Machine learning: Sosik, H. M. and Olson, R. J. (2007), Automated taxonomic classification of phytoplankton sampled with imaging-in-flow cytometry. Limnol. Oceanogr: Methods 5, 204–216. http://github.com/hsosik/ifcb-analysis - Quality control: Hayashi, K., Walton, J., Lie, A., Smith, J. and Kudela M. Using particle size distribution (PSD) to automate imaging flow cytobot (IFCB) data quality in coastal California, USA. In prep. http://github.com/kudelalab/PSD - Data processing: Anders Torstensson (2024). I 'R' FlowCytobot (iRfcb): Tools for Analyzing and Processing Data from the IFCB. R package version 0.3.10. https://doi.org/10.5281/zenodo.12533225. http://github.com/EuropeanIFCBGroup/iRfcb

Metadados Adicionais

Identificadores alternativos	https://www.gbif.se/ipt/resource?r=shark-planktonimaging