Title: 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

Type Dataset Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2016): 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. Zenodo. Dataset. https://zenodo.org/record/54762

Authors: Schmid, M.S. (Takuvik Joint International Laboratory, Laval University (Canada) – CNRS (France), UMI3376, Département de biologie et Québec-Océan, Université Laval, Québec, Québec G1V 0A6, Canada) ; Aubry, C. (Takuvik Joint International Laboratory, Laval University (Canada) – CNRS (France), UMI3376, Département de biologie et Québec-Océan, Université Laval, Québec, Québec G1V 0A6, Canada) ; Grigor, J. (Takuvik Joint International Laboratory, Laval University (Canada) – CNRS (France), UMI3376, Département de biologie et Québec-Océan, Université Laval, Québec, Québec G1V 0A6, Canada) ; Fortier, L. (Takuvik Joint International Laboratory, Laval University (Canada) – CNRS (France), UMI3376, Département de biologie et Québec-Océan, Université Laval, Québec, Québec G1V 0A6, Canada) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

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

More information

• URL: https://zenodo.org/record/54762
• ISIDENTICALTO: https://doi.org/10.1016/j.mio.2016.03.003

Subjects

• Zooplankton , In-situ imaging , Automatic zooplankton identification model , Canadian Arctic, Lightframe On-sight Keyspecies Investigation (LOKI)

Dates

• Publication date: 2016
• Issued: May 04, 2016

Rights

• https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode Creative Commons Attribution Non Commercial Share Alike 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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