Jankowski, Mark DFairbairn, David JBaller, Joshua AWesterhoff, Benjamin MSchoenfuss, Heiko L2022-07-182022-07-182022-07-18https://hdl.handle.net/11299/228466Data herein are associated with figures and tables in DOI 10.1002/etc.5392. Raw and processed RNA sequencing data can be found in NCBI GEO (https://www.ncbi.nlm.nih.gov/geo/). R code used to analyze the data can be found in GitHub (https://github.com/jankow55/Daphnia-bioassay.git).A major challenge in ecotoxicology is accurately and sufficiently measuring chemical exposures and biological effects given the presence of complex and dynamic contaminant mixtures in surface waters. Our study examined the performance of the Daphnia magna transcriptome to detect distinct responses across three water sources in Minnesota: laboratory [well] waters, wetland waters, or stormwaters. Pyriproxyfen (PPF) was included as a gene expression and male neonate production positive control to examine whether gene expression resulting from exposure to this well-studied juvenoid hormone analog can be detected in complex matrices. Laboratory-reared (<24 hr) D. magna were exposed to a water source and/or PPF for 16 d to monitor phenotypic changes or 96 hr to examine gene expression responses using Illumina HiSeq 2500 (10 million reads per library, 50-bp paired-end (2x50)).CC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/BiomonitoringEcotoxicogenomicsEffects-based monitoringInvertebrate toxicologyTranscriptomicsData for: Using the Daphnia magna Transcriptome to Distinguish Water Source: Wetland and Stormwater Case StudiesDatasethttps://doi.org/10.13020/4hq3-v890