Evaluating the performance of high throughput transcriptomic assays with four species of aquatic organisms

Data include R code employed to filter benchmark concentrations for concentration responsive genes and perform functions such as randomly selecting sample columns to generate random data sets, implementing principal component analyses, generating plots, comparing CRG lists, etc. as well as queries supplied to US EPA's internal generative AI tool (Chat GPT-5) to generate draft code that was refined and tested for use in the final analyses. Data also include all count matrices employed for each analysis.