SHARK - Phyto- and Microzooplankton Data Collected by Imaging FlowCytobots (IFCB) in Swedish and Adjacent Waters
IPT GBIF Sweden
Swedish Meteorological and Hydrological Institute
Dataset type
This dataset that contains event based data for species which may include sampling information
Description
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.
Geographic Description
N/A
Methods
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
Type of content
Includes: Point occurrence data.Citation
Swedish Meteorological and Hydrological Institute (2024). SHARK - Phyto- and Microzooplankton Data Collected by Imaging FlowCytobots (IFCB) in Swedish and Adjacent Waters
Rights
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.
Digitised records
Looking up... the number of records that can be accessed through the Swedish Biodiversity Data Infrastructure. This resource was last checked for updated data on 03 Mar 2025. The most recent data was published on 28 Feb 2025.
Metadata last updated on 2025-03-03 10:24:05.0
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