This data set contains raw data from 12 international groundwater studies that monitored for human viruses and microbial indicators. Please see the first worksheet for identification of the studies used. This dataset is associated with the following publication: Fout, S., M. Karim, and M. Borchardt. Human virus and microbial indicator occurrence in public-supply groundwater systems: meta-analysis of international studies. Hydrogeology Journal. Springer, Heidelburg, GERMANY, 25(0): 903-919, (2017).

,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".,

This dataset includes all the raw data of various microorganisms in wastewater influent and effluent samples from three participating reclaimed water plants. Additionally, box plots used for the peer-reviewed journal article were presented. This dataset is associated with the following publication: Ryu, H., Y. Addor, N. Brinkman, M. Ware, L. Boczek, J. Hoelle-Schwalbach, J. Mistry, S. Keely, and E. Villegas. Understanding microbial loads in wastewater treatment works as source water for water reuse.. WATER. MDPI AG, Basel, SWITZERLAND, 13(11): 1452, (2021).

This dataset includes all the raw data of various microorganisms in wastewater influent and effluent samples from three participating reclaimed water plants. Additionally, box plots used for the peer-reviewed journal article were presented. This dataset is associated with the following publication: Ryu, H., Y. Addor, N. Brinkman, M. Ware, L. Boczek, J. Hoelle-Schwalbach, J. Mistry, S. Keely, and E. Villegas. Understanding microbial loads in wastewater treatment works as source water for water reuse.. WATER. MDPI AG, Basel, SWITZERLAND, 13(11): 1452, (2021).

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.

Data collected to assess water quality conditions in the natural creeks, aquifers and lakes in the Austin area. This is raw data, provided directly from our Water Resources Monitoring database (WRM) and should be considered provisional. Data may or may not have been reviewed by project staff. A map of site locations can be found by searching for LOCATION.WRM_SAMPLE_SITES; you may then use those WRM_SITE_IDs to filter in this dataset using the field SAMPLE_SITE_NO.

Groundwater-quality data were collected from 502 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program and are included in this report. Most of the wells (500) were sampled from January through December 2015 and 2 of them were sampled in 2013. The data were collected from five types of well networks: principal aquifer study networks, which are used to assess the quality of groundwater used for public water supply; land-use study networks, which are used to assess land-use effects on shallow groundwater quality; major aquifer study networks, which are used to assess the quality of groundwater used for domestic supply; enhanced trends networks, which are used to evaluate the time scales during which groundwater quality changes; and vertical flow-path study networks, which are used to evaluate changes in groundwater quality from shallower to deeper depths. Groundwater samples were analyzed for a large number of water-quality indicators and constituents, including major ions, nutrients, trace elements, volatile organic compounds, pesticides, radionuclides, and some special interest constituents (arsenic speciation, chromium [VI] and perchlorate). These groundwater quality data are tabulated in a U.S. Geological Survey Data Series Report DS-XXXX which is available at https://dx.doi.org/XXXXXX and in this data release. Data from the environmental and QC samples from the 2012-2013 sampling period were presented in Arnold and others (2016a,b) and those from the 2014 sampling period were presented in Arnold and others (2017a,b). There are 20 data tables included in this data release and they are referenced as tables 1-12 and appendix tables 3.3-3.10 in the larger work citation. There are 25 tables that are part of the larger work citation; the 5 tables not included in the data release are summary tables derived from some of the other 20 tables. A version of table 1 is included in both the text and data release. This compressed file contains 20 files of groundwater-quality data in ASCII text tab-delimited format and 20 corresponding metadata in xml format for wells sampled for the U.S. Geological Survey National Water-Quality Assessment Project.