Digital PCR data for study: Real-time outlier detection in digital PCR data for wastewater-based pathogen surveillance

About This dataset contains the raw wastewater data used in the study "Real-time outlier detection in digital PCR data for wastewater-based pathogen surveillance".These data are openly shared as part of a multi-pathogen wastewater surveillance program run by the Swiss Federal Institute of Aquatic Science and Technology (Eawag). We kindly thank the members of the Wastewater Monitoring Laboratory, including Timothy R. Julian (lead), Lea Caduff, Sheena Conforti, Seju Kang, Jolinda de Korne-Elenbaas, Charles Gan, Rachel McLeod, Melissa Pitton, Linda Schneider, Nadja Widrig, Nadine Hürlimann, and Anna Wettlauffer, for their contributions to the development of digital PCR assays and their application in ongoing wastewater surveillance. We thank the Swiss Federal Office of Public Health FOPH for supporting the wastewater surveillance by Eawag.Up-to-date data continuously generated by Eawag are publicly available at https://wisedb.ethz.ch/api/docs/. Data fields wastewater_treatment_plant.name name of the wastewater treatment plant where the sample was collected from target pathogen targeted by PCR (IAV-M: influenza A - M gene, IAB-M: influenza B - M gene, RSV-M/N: respiratory syncytial virus - N or M gene, SARS-N1: sars-cov-2 - N1 gene, SARS-N2: sars-cov-2 N2 gene) date sample collection date gc_per_lww viral concentration in gene copies per litre of wastewater total_droplets number of droplets (partitions) from the digital PCR experiment (per partition average) dilution dilution factor of the raw RNA extract load viral load in gene copies per person per day flow flow volume in meters cubed n_replicates number of technical digital PCR replicates lod limit of detection for the sample in gene copies per litre of wastewater