Data and R script for publication: The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean

• Main Authors: Schmid, M.S., Aubry, C., Grigor, J., Fortier, L.
• Format: Dataset
• Language: unknown
• Published: 2016
• Subjects: Zooplankton; In-situ imaging; Automatic zooplankton identification model; Canadian Arctic; Lightframe On-sight Keyspecies Investigation (LOKI); Arctic; Arctic Ocean
• Online Access: https://zenodo.org/record/54762; https://doi.org/10.1016/j.mio.2016.03.003

This is a www.zenodo.org data and R script upload for publication: Schmid, M.S. et al., The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean. Methods in Oceanography (2016), http://dx.doi.org/10.1016/j.mio.2016.03.003 Downloadable script: Script_Schmid_Mio_2016_data_upload.R Downloadable data: Schmid_2016_MIO_CGlac.csv