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Institute of Marine Research

Small microplankton (MicroS) FlowCam Plankton Images version_0.1

Recommended citation:
Terje Berge, Gayantonia Franze, Hege Lyngvær Mathisen and Mona Ring Kleiven (2022) Small microplankton (MicroS) FlowCam Plankton Images version_0.1 https://doi.org/10.21335/NMDC-2102309336
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Abstract
Work in progress (last modified 2022-04-06). Manually sorted and annotated plankton images obtained using a FlowCam 8400 Yokogawa Fluid Imaging Technologies (camera and microscope system) equipped with a 10x objective lens and a 100µm deep field-of-view flowcell (magnification = 100). The size of one pixel is 0.7330 µm. The images have been sorted into a taxonomical folder structure according to phylogeny (e.g. Family – Order – Genus - Species). This version (last modified: 2022-04-06) is incomplete in the phylogenetic organization of the folders. Plankton sizes range from 5-100 µm ABD (Area Based Diameter). The plankton samples were ~50 ml carefully filtered through 80 µm mesh to remove large organisms that will clog the flowsystem. 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. 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/MicroS.zip
58.426113
58.426113
8.754614
8.754614
                        
                        
                        
8a45fce52a30508b59d22783802c5617.xml
No Spatial coverage