Groundwater and surface-water samples were collected and analyzed for microbial source tracking markers to identify the primary sources of fecal bacteria at a Lake Michigan beach in Northwestern Indiana.

Data corresponding to the figures in the paper. This dataset is associated with the following publication: Xing, Y., A. Ellis, M. Magnuson, and W. Harper. Adsorption of bacteriophage MS2 to colloids: Kinetics and particle interactions. Colloids and Surfaces A: Physicochemical and Engineering Aspects. Elsevier B.V., Amsterdam, NETHERLANDS, 585: 124099, (2020).

Recovery and decontamination data from bench- and operational-scale testing designed to evaluate virucidal chemical efficacy. This dataset is associated with the following publication: Wyrzykowska-Ceradini, B., W. Calfee, A. Touati, J. Wood, L. Mickelsen, L. Miller, M. Colby, C. Slone, N. Griffin-Gatchalian, S. Gayatri Pongur, and D. Aslett. The Use of Bacteriophage MS2 for Development and Application of a Virucide Decontamination Test Method for Porous and Heavily Soiled Surfaces. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 1-31, (2019).

,This repository contains data supporting the publication, "Detection of viral, bacterial, and protozoan pathogens and microbial source tracking markers in paired large- and small-volume water samples." The dataset comprises qPCR concentrations of microbial targets in paired large volume and small volume samples from field studies and laboratory recovery experiments, as described in the main publication.,"Field studies.csv" contains sample data and target concentrations for three field studies, two in groundwater and one in surface water. In the "Groundwater - Private wells (n = 138)" study, large volume samples taken by dead-end ultrafiltration were compared to small volume grab samples. In the remaining two studies, large volume dead-end ultrafiltration and small volume samples were collected synchronously to remove the effect of spatial/temporal heterogeneity during collection. Only the 15 qPCR assays with detections and common to all studies are included. Geographic information is not included to protect the privacy of study participants.,"Recovery data.csv" contains laboratory data for large volume and small volume method recovery of three microbial targets (a bacterium, a virus, and a protozoan) at varying initial concentrations.,"Storage data.csv" contains laboratory data for microbial target decay during storage prior to processing. Liquid small volume samples and large volume ultrafilters were stored at 4 C to simulate normal sample storage and transport conditions. Concentrations of three microbial targets (a bacterium, a virus, and a protozoan) were determined for storage times from 0 to 96 hours.,Descriptive data for all microbial targets is provided in "Target data.csv". An explanation of variables (with units) for all data files can found in "Key to variables.csv".,

Private wells (n = 138) were sampled by large- and small-volume sampling methods in Grant, Iowa, and Lafayette Counties, Wisconsin, USA in 2019 and 2020. Well water samples were analyzed for microorganisms by quantitative polymerase chain reaction at the Laboratory for Infectious Disease and the Environment (LIDE). Gene targets for viruses, bacteria, and protozoa were analyzed, including pathogens and microbial source tracking markers. Data were collected to characterize microbial contamination of private well water to better understand water quality and potential causes of contamination. Collaborators include U.S. Department of Agriculture-Agricultural Research Service; Wisconsin Geological and Natural History Survey; and Grant, Iowa, and Lafayette Counties, Wisconsin.

Private wells (n = 138) were sampled by large- and small-volume sampling methods in Grant, Iowa, and Lafayette Counties, Wisconsin, USA in 2019 and 2020. Well water samples were analyzed for microorganisms by quantitative polymerase chain reaction at the Laboratory for Infectious Disease and the Environment (LIDE). Gene targets for viruses, bacteria, and protozoa were analyzed, including pathogens and microbial source tracking markers. Data were collected to characterize microbial contamination of private well water to better understand water quality and potential causes of contamination. Collaborators include U.S. Department of Agriculture-Agricultural Research Service; Wisconsin Geological and Natural History Survey; and Grant, Iowa, and Lafayette Counties, Wisconsin.

Bioaerosol concentrations. This dataset is associated with the following publication: Chattopadhyay, S., S. Perkins, M. Shaw, and T. Nichols. Evaluation of Exposure to Brevundimonas diminuta and Pseudomonas aeruginosa during Showering [HS7.44.02]. JOURNAL OF AEROSOL SCIENCE. Elsevier Science Ltd, New York, NY, USA, 114: 77-93, (2017).

Water resources around the world are contaminated with per- and polyfluoroalkyl substances (PFAS) due to releases from point sources on military installations, fire training centers, and chemical manufacturing sites. Non-point sources have also been identified including wastewater effluent, landfills, and biosolids application. PFAS are a major concern to myriad stakeholders as some are known to bioaccumulate, they have eco-toxicity effects, and they are highly recalcitrant. PFAS are often called “forever chemicals” due to their environmental persistence but many precursor PFAS are transformed in the environment by microbes. Recent work has shown that PFAS can be biologically degraded in laboratory studies, but the microbial populations catalyzing degradation are poorly characterized. We conducted laboratory microcosm experiments to investigate the biotransformation of perfluorohexane sulfonamido propyl amine (PFHxSAm), a predominant precursor in 3M Aqueous Film Forming Foam (3M AFFF), by native microbial populations in upwelling sediment-water slurries from Ashumet Pond, MA. Ashumet Pond is affected by multiple PFAS-contaminated groundwater plumes from Joint Base Cape Cod, MA. The field collected samples were used to construct aerobic microcosms for monitoring PFHxSAm biodegradation. Microbial community composition was analyzed at 4 timepoints using Illumina 16S rRNA gene iTag sequencing and quantitative PCR (qPCR) targeting bacterial 16S rRNA genes. Experiments were performed in triplicate and abiotic controls were included in each experiment. The data release contains the results of Illumina iTag sequencing and qPCR for microbial community characterization. Four tables are provided that describe the experimental bottles, the results of DNA quantification, the results of biomass estimates using qPCR, and the taxonomic data based on sequencing results (provided as a biom file).

Water resources around the world are contaminated with per- and polyfluoroalkyl substances (PFAS) due to releases from point sources on military installations, fire training centers, and chemical manufacturing sites. Non-point sources have also been identified including wastewater effluent, landfills, and biosolids application. PFAS are a major concern to myriad stakeholders as some are known to bioaccumulate, they have eco-toxicity effects, and they are highly recalcitrant. PFAS are often called “forever chemicals” due to their environmental persistence but many precursor PFAS are transformed in the environment by microbes. Recent work has shown that PFAS can be biologically degraded in laboratory studies, but the microbial populations catalyzing degradation are poorly characterized. We conducted laboratory microcosm experiments to investigate the biotransformation of perfluorohexane sulfonamido propyl amine (PFHxSAm), a predominant precursor in 3M Aqueous Film Forming Foam (3M AFFF), by native microbial populations in upwelling sediment-water slurries from Ashumet Pond, MA. Ashumet Pond is affected by multiple PFAS-contaminated groundwater plumes from Joint Base Cape Cod, MA. The field collected samples were used to construct aerobic microcosms for monitoring PFHxSAm biodegradation. Microbial community composition was analyzed at 4 timepoints using Illumina 16S rRNA gene iTag sequencing and quantitative PCR (qPCR) targeting bacterial 16S rRNA genes. Experiments were performed in triplicate and abiotic controls were included in each experiment. The data release contains the results of Illumina iTag sequencing and qPCR for microbial community characterization. Four tables are provided that describe the experimental bottles, the results of DNA quantification, the results of biomass estimates using qPCR, and the taxonomic data based on sequencing results (provided as a biom file).