This README.txt file was generated on 2022-08-30 by Scott F. Colborne GENERAL INFORMATION 1. Title of Dataset: Data from: Development and validation of targeted environmental DNA (eDNA) metabarcoding for early detection of 69 invasive fishes and aquatic invertebrates 2. Author Information Corresponding Investigator Name: Scott F Colborne Institution: Department of Wildlife, Fish, and Conservation Biology, University of California, Davis, CA USA email: scolbor@gmail.com Co-investigator Name:Yueyang Wu Institution: Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON Canada Co-investigator Name:Matthew R. Charron Institution: Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON Canada Co-investigator Name:Daniel D. Heath Institution:Great Lakes Institute for Environmental Research & Department of Integrative Biology, University of Windsor, Windsor, ON Canada 3. Dates of data collection and sample processing: 2014 - 2022 4. Geographic location of data collection: Multiple locations, primarily Canada. DATA & FILE OVERVIEW 1. Description of dataset These data represent laboratory reads of eDNA samples to test primer development (multiple regions, e.g., COI). Fish and invertebrate tissue samples were collected from multiple sources, primarily based in Canada. All laboratory trials and DNA processing occuring at the Great Lakes Institute for Environmental Research at the University of Windsor (Windsor, ON Canada). 2. File List: File 1 Name: Wu_sensitivity.csv Description: Sensitivity of eDNA reads across multiple concentrations of DNA for each species and primer region developed (2 regions per species; see main text for full description of primers). Sensitivity was determined using a set of serial dilutions from a base DNA concentration unique to each species. File 2 Name: Wu_spike_reads.csv Description: Number of NextGen sequence reads relative to known amounts of DNA added to water samples. These samples were prepared using a blind-processing technique to avoid potential biases during processing (see main text for details). METHODOLOGICAL INFORMATION Specific methodological information for all tables is included in the main text of Wu et al. (2022). SPECIFIC INFORMATION FOR: Wu_sensitivity.csv Variable information: Group = either Fish or Invertebrate species Species = specific known species used for primer development Primer Region = specific region targeted using primers (see main text for development details) DNA Amount (ng) = known amount of DNA used for each sensitivity trial Success Count = number of successful detections at each DNA level (maximum of 3 possible successes) SPECIFIC INFORMATION FOR: Wu_spike_reads.csv Variable information: Sample Number = tracking information for unique blind samples Species = knwon species spiked into a given sample Amount DNA Spiked = known quantity of DNA added to the sample Species ID & Volume Spiked = unique short-form code for each species and the volume of DNA added to each blind sample Species ID = unique short-form code for each species Primer = Primer region developed for detection trials Primer Type Code = Primer number (1 = first primer developed, typically COI; 2 = second primer developed for each species, variable regions used) Sequence Reads = Number of Next Gen sequence reads for each primer and species combination. OTHER RELEVANT INFORMATION: Much of this information is included with each acoustic detection event, but this table represents a general summary of all candidate fish that were considered as possible candidates for this study.