Raw sequencing data and other metadata files are associated with Cuff et al. (2022), available at https://doi.org/10.5281/zenodo.4708418 The associated code, files and description pertain to the non-metric multi-dimensional scaling plot presented in this review (Figure 4). The code and data required for the boxplot (Figure 3) are given at the Zenodo link above (for Cuff et al. 2022). Data were collected and processed according to Cuff et al., (2022) up to the point of aggregating the two primer pair datasets. Binary matrices for prey detections were combined for the two primer pairs, but each sample represented separately for each primer pair (i.e., not aggregated by sample). Instances where taxa were only identified to genus (or lower, e.g., family) level by only one of the primer pairs resulted in aggregation for the other primer pair at that taxonomic level, except for species within those groups that were reliably identified to species level by both primers. Samples for which only one primer pair generated prey data were removed. The non-metric multidimensional scaling spider plot was created using ‘metaMDS’ with a Jaccard distance matrix and 999 tries in the ‘vegan’ package (Oksanen et al., 2016). Outliers that obscured the overall patterns were removed, the final plot having a stress of 0.061. Point colours were assigned using the ‘set1’ palette of the ‘RColorBrewer’ package (Neuwirth, 2014) and the final plot created using ‘ggplot2’ (Wickham, 2016).

{"references": ["Cuff, J. P., Tercel, M. P. T. G., Drake, L. E., Vaughan, I. P., Bell, J. R., Orozco-terWengel, P., \u2026 Symondson, W. O. C. (2022). Density-independent prey choice, taxonomy, life history and web characteristics determine the diet and biocontrol potential of spiders (Linyphiidae and Lycosidae) in cereal crops. Environmental DNA, in press.", "Oksanen, J., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O'Hara, R. B., \u2026 Wagner, H. (2016). vegan: Community Ecology Package. Retrieved from https://cran.r-project.org/package=vegan", "Neuwirth, E. (2014). RColorBrewer: ColorBrewer palettes. Retrieved from https://cran.r-project.org/package=RColorBrewer", "Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag. Retrieved from https://ggplot2.tidyverse.org"]}