An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000&thinsp;m depth

Egge, Elianne; Elferink, Stephanie; Vaulot, Daniel; John, Uwe; Bratbak, Gunnar; Larsen, Aud; Edvardsen, Bente

doi:https://doi.org/10.5194/essd-13-4913-2021

Articles | Volume 13, issue 10

https://doi.org/10.5194/essd-13-4913-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Extreme environment datasets for the three poles

https://doi.org/10.5194/essd-13-4913-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 10

Data description paper

|

26 Oct 2021

Data description paper |

| 26 Oct 2021

An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth

Elianne Egge, Stephanie Elferink, Daniel Vaulot, Uwe John, Gunnar Bratbak, Aud Larsen, and Bente Edvardsen

Data sets

An 18S V4 rRNA metabarcoding dataset of protist diversity in the Atlantic inflow to the Arctic Ocean, through the year and down to 1000 m depth Elianne Egge, Stephanie Elferink, Daniel Vaulot, Uwe John, Gunnar Bratbak, Aud Larsen, and Bente Edvardsen https://doi.org/10.17882/79823

Model code and software

micropolar_protists_datapaper Elianne Egge and Daniel Vaulot https://doi.org/10.5281/zenodo.5517980

Short summary

Here we present a dataset of DNA sequences obtained from size-fractionated seawater samples from the Arctic Ocean that are used to identify taxonomic groups of unicellular plankton. This dataset can be used to investigate the diversity and distribution of plankton groups both by season and by depth and thus increase our understanding of the factors influencing the dynamics of this important part of the Arctic marine ecosystem.