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The barplot panel allow to produce barplots using a variety of metadata (Fig. 1). As for the other panels this will only apply to the datasets, samples, ASV and taxa selected. Two major settings can be used:

  • Color according to taxonomy or according to ecological function (Fig. 1). Ecological function is according the list from Sommeria-Klein et al. (2021) as appears in their Supplementary material.

  • Variable to use

    • fraction name
    • ecosystem
    • substrate
    • depth (in m) and depth_level
    • DNA_RNA
    • latitude
    • temperature
    • salinity
    • date (see below)


Fig. 1: Barplot with taxonomy. 1: Color accoding to taxonomy of ecological function. 2: Variable to use. 3: Barplot. Left: Using taxonomy Right: using ecological function

Fig. 1: Barplot with taxonomy. 1: Color accoding to taxonomy of ecological function. 2: Variable to use. 3: Barplot. Left: Using taxonomy Right: using ecological function



## Interactive plots Plots are interactive and there is a menu on the upper right (Fig. 2). In particular you can isolate a specific taxonomic group by clicking on the group (Fig. 4).

Fig. 2: Barplot interactive. Right:  isolating a specific group.

Fig. 2: Barplot interactive. Right: isolating a specific group.



Time series

Time series can also be plotted with data aggregated by:

  • year (Fig. 3)
  • month (Fig. 4)
  • day

To test this feature it is best to use a single dataset (e.g. Spanish Blanes from Giner et al. 2019) and to use a single size fraction. Using the zoom function of plotly, one can more easily display monthly and daily data (Fig. 4).



Fig. 3: Barplot time series with year aggregation

Fig. 3: Barplot time series with year aggregation



Fig. 4: Barplot time series with month aggregation. Right: after zooming

Fig. 4: Barplot time series with month aggregation. Right: after zooming



References

  • Sommeria-Klein, G., Watteaux, R., Ibarbalz, F.M., Pierella Karlusich, J.J., Iudicone, D., Bowler, C., Morlon, H., 2021. Global drivers of eukaryotic plankton biogeography in the sunlit ocean. Science 374, 594–599. https://doi.org/10.1126/science.abb3717

  • Giner, C.R., Balagué, V., Krabberød, A.K., Ferrera, I., Reñé, A., Garcés, E., Gasol, J.M., Logares, R., Massana, R., 2019. Quantifying long-term recurrence in planktonic microbial eukaryotes. Molecular Ecology 28, 923–935. https://doi.org/10.1111/mec.14929