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
initial publication
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 31 Mar 2025. The most recent data was published on 28 Feb 2025.
Metadata last updated on 2025-03-31 11:21:24.0
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Licence
Creative Commons Zero 1.0
