Data from: Estimating and mitigating amplification bias in qualitative and quantitative arthropod metabarcoding

Henrik Krehenwinkel, Madeline Wolf, Jun Ying Lim, Andrew J. Rominger, Warren B. Simison & Rosemary G. Gillespie
Amplicon based metabarcoding promises rapid and cost-efficient analyses of species composition. However, it is disputed whether abundance estimates can be derived from metabarcoding due to taxon specific PCR amplification biases. PCR-free approaches have been suggested to mitigate this problem, but come with considerable increases in workload and cost. Here, we analyze multilocus datasets of diverse arthropod communities, to evaluate whether amplification bias can be countered by (1) targeting loci with highly degenerate primers or conserved...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?