Articles | Volume 13, issue 10
https://doi.org/10.5194/essd-13-4913-2021
https://doi.org/10.5194/essd-13-4913-2021
Data description article
 | 
26 Oct 2021
Data description article |  | 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

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Cited articles

Årthun, M., Eldevik, T., Smedsrud, L. H., Skagseth, Ø., and Ingvaldsen, R. B.: Quantifying the Influence of Atlantic Heat on Barents Sea Ice Variability and Retreat, J. Climate, 25, 4736–4743, https://doi.org/10.1175/JCLI-D-11-00466.1, 2012. a, b
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Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., and Holmes, S. P.: DADA2: high-resolution sample inference from Illumina amplicon data, Nat. Methods, 13, 581–583, 2016. a
Chang, W., Cheng, J., Allaire, J., Xie, Y., and McPherson, J.: shiny: Web Application Framework for R, r package version 1.3.2, available at: https://CRAN.R-project.org/package=shiny (last access: 30 August 2021), 2019. a
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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.
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