Institute of Marine Research
Large microplankton (MicroL) FlowCam Plankton Images version_0.1
Recommended citation:
Terje Berge, Gayantonia Franze, Hege Lyngvær Mathisen and Hyeongji Kim
(2022)
Large microplankton (MicroL) FlowCam Plankton Images version_0.1
https://doi.org/10.21335/NMDC-573815973
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Abstract
Work in progress (last modified 2022-04-12). Manually sorted and annotated plankton images obtained using a FlowCam VS-1 Yokogawa Fluid Imaging Technologies (camera and microscope system) equipped with a 2x objective lens and a 800µm deep non-field-of-view flowcell (magnification = 20). One pixel is 2.9730 µm. The images have been sorted into a taxonomical folder structure according to phylogeny (e.g. Family – Order – Genus - Species). This version (last modified: 2022-04-12) is incomplete in the phylogenetic organization of the folders. Plankton sizes range from 30-1000µm ABD (Area Based Diameter). The plankton samples were ½ to 1 l whole seawater analyzed without prefiltration. Both live and lugol fixed samples were imaged for this dataset, with an overweight of live samples. Samples originated from the tidal zone in Flødevigen (<live samples) and 1 nm outside Torungen Light House (fixed samples). This version of the dataset needs further improvement (number of images in each class) in order to train a machine learning model and apply it for the classification of real plankton samples. As a preliminary data-set it was intended to investigate machine-learning algorithms. There may be misplaced images and misannotations.
Scientific keywords:
EARTH SCIENCE> BIOSPHERE> AQUATIC ECOSYSTEMS> PLANKTON
Key words:
Plankton, Preliminary dataset, Microplankton, FlowCam, Image Recognition
Data downloads
| Type | Description | URL |
| GET DATA | ftp://ftp.nmdc.no/nmdc/IMR/Plankton/MicroL.zip |