Unravelling large-scale patterns and drivers of biodiversity in dry rivers

We conducted a coordinated experiment and a metabarcoding approach on environmental DNA targeting multiple taxa (i.e. Archaea, Bacteria, Fungi, Algae, Protozoa, Nematoda, Arthropoda, and Streptophyta). Dry sediments were collected from 84 non-perennial rivers across 19 countries on four continents to investigate biodiversity patterns and drivers., Sample and data collection
Sediment samples were collected by an international consortium (http://1000_intermittent_rivers_project.irstea.fr) following a standardized protocol during dry phases in the years 2015-2016. Specifically, a total of 84 samples were retained in the statistical analyses (see information below), and were collected in 19 countries spanning the main 5 Köppen climate classes (A: Tropical n=2, B: Dry n=14, C: Temperate n=66, D: Continental n=1, E: Polar n=1) (FIG. 1). The length of the reaches sampled was defined as 10 times the average active channel width to cover a representative area and to ensure consistent sampling effort. The active channel was defined as the area of inundated and exposed riverbed sediments between clearly delineated edges of perennial terrestrial vegetation and/or abrupt changes in bank slope. Within each reach, 5% of the riverbed was randomly sampled with 1 m² quadrats to collect a total of 3 L of sediments. Riverbed sediment samples were co..., , # Data from: Unravelling large-scale patterns and drivers of biodiversity in dry rivers

[https://doi.org/10.5061/dryad.v6wwpzh2j](https://doi.org/10.5061/dryad.v6wwpzh2j)

Sediment samples were collected by an international consortium ([http://1000_intermittent_rivers_project.irstea.fr](http://1000_intermittent_rivers_project.irstea.fr)) following a standardized protocol during dry phases in the years 2015-2016. We conducted a metabarcoding approach on environmental DNA targeting multiple taxa (i.e. Archaea, Bacteria, Fungi, Algae, Protozoa, Nematoda, Arthropoda and Streptophyta).

## Description of the data and file structure

* DRIME_bact02.filtered.uniq.fasta : de-replicated and de-multiplexed sequencing data for the barcode Bact02 targetting Bacteria and Archaea
* Metabarcoding DRIME workflow Bact02.Rmd : R markdown file describing the bioinformatic processing and the statistical analyses conducted on the Bact02 barcode
* bact_OTU_097_DRIME_agg_ORDER.txt : curated OTU table obtaine...