This dataset includes concentrations of culture-based fecal indicator concentrations, microbial source tracking marker concentrations, results from Bayesian statistical analysis. This dataset is associated with the following publication: McMinn, B., A. Korajkic, J. Kelleher, A. Diedrich, A. Pemberton, J. Willis, M. Sivaganesan, B. Shireman, A. Doyle, and O. Shanks. Quantitative fecal pollution assessment with bacterial, viral, and molecular methods in small stream tributaries. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 951: 175740, (2024).

This data release supports the following publication: Senior, Lisa A., 2017, Estimated Fecal Coliform Bacteria Concentrations Using Near Real-Time Water-Quality and Streamflow Data From Five Stream Sites in Chester County, Pennsylvania, 2007–16: U.S. Geological Survey Scientific-Investigations Report 2017–5075 (https://doi.org/10.3133/sir20175075) The U.S. Geological Survey (USGS), in cooperation with the Chester County Health Department (CCHD) and the Chester County Water Resources Authority (CCWRA), has collected discrete stream samples for analysis of fecal coliform concentrations during March– October annually at or near five gaging stations where near real-time continuous data on stream discharge, turbidity, and water temperature have been collected since 2007 (or since 2012 at 2 of the 5 stations). In 2014, the USGS, in cooperation with the CCWRA and CCHD, began to develop regression equations to estimate fecal coliform concentrations using available near real-time continuous data . Regression equations included possible explanatory variables of stream discharge, turbidity, water temperature, and seasonal factors calculated using Julian Day with base-10 logarithmic (log) transformations of selected variables. Data files in CSV format include datetime, stream discharge, in cubic feet per second, water temperature, in degrees Celsius, fecal coliform bacteria concentrations, in colonies per 100 milliliters, turbidity, in FNU, Julian Day, and calculated or transformed variables of log fecal coliform concentrations, log turbidity, sin(Julian Day/365), and cos(Julian Day/365)]. Data were collected at 5 stream sites, French Creek at Phoenixville Pa., White Clay Creek near Strickersville, Pa., East Branch Brandywine Creek below Downingtown Pa., West Branch Brandywine Creek at Modena Pa., and Brandywine Creek at Chadds Ford, Pa.

This data release supports the following publication: Senior, Lisa A., 2017, Estimated Fecal Coliform Bacteria Concentrations Using Near Real-Time Water-Quality and Streamflow Data From Five Stream Sites in Chester County, Pennsylvania, 2007–16: U.S. Geological Survey Scientific-Investigations Report 2017–5075 (https://doi.org/10.3133/sir20175075) The U.S. Geological Survey (USGS), in cooperation with the Chester County Health Department (CCHD) and the Chester County Water Resources Authority (CCWRA), has collected discrete stream samples for analysis of fecal coliform concentrations during March– October annually at or near five gaging stations where near real-time continuous data on stream discharge, turbidity, and water temperature have been collected since 2007 (or since 2012 at 2 of the 5 stations). In 2014, the USGS, in cooperation with the CCWRA and CCHD, began to develop regression equations to estimate fecal coliform concentrations using available near real-time continuous data . Regression equations included possible explanatory variables of stream discharge, turbidity, water temperature, and seasonal factors calculated using Julian Day with base-10 logarithmic (log) transformations of selected variables. Data files in CSV format include datetime, stream discharge, in cubic feet per second, water temperature, in degrees Celsius, fecal coliform bacteria concentrations, in colonies per 100 milliliters, turbidity, in FNU, Julian Day, and calculated or transformed variables of log fecal coliform concentrations, log turbidity, sin(Julian Day/365), and cos(Julian Day/365)]. Data were collected at 5 stream sites, French Creek at Phoenixville Pa., White Clay Creek near Strickersville, Pa., East Branch Brandywine Creek below Downingtown Pa., West Branch Brandywine Creek at Modena Pa., and Brandywine Creek at Chadds Ford, Pa.

File (spreadsheet) contains a summary of data presented in the journal article titled "Effects of future hydroclimatic conditions on microbial water quality and management practices in two agricultural watersheds". This dataset is associated with the following publication: Coffey, R.P., J. Butcher, B. Benham, and T. Johnson. Modeling the Effects of Future Hydroclimatic Conditions on Microbial Water Quality and Management Practices in Two Agricultural Watersheds. Transactions of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 63(3): 753-770, (2020).

This data release contains eight datasets and metadata related to streamwater constituent load estimation and E. coli bacteria concentration predictions at 15 watersheds in DeKalb County, Georgia for 2012 to 2016 (the water-quality model calibration data goes through 9/22/2017 and the water-quality assurance samples goes through 11/7/2017). Loads were estimated for 15 constituents: biochemical oxygen demand, chemical oxygen demand, total suspended solids, suspended sediment concentration, total nitrogen, total nitrate plus nitrite, total phosphorus, dissolved phosphorus, total organic carbon, total calcium, total magnesium, total copper, total lead, total zinc, and total dissolved solids. The data release includes the following eight datasets: (1) daily base-flow separation results that were used as explanatory variables in the load estimation models; (2) water-quality assurance sample concentrations; (3) laboratory standard reference sample concentrations; (4) water-quality outliers that were excluded from the calibration datasets used in regression models for estimating streamwater constituent loads and E. coli bacteria concentrations; (5) calibration datasets containing explanatory variables for modeling constituent loads; (6) model coefficients and model diagnostic statistics used to estimate streamwater constituent loads, including portable document format files (pdf) with reports and plots for evaluating model fits; (7) time-step data used for estimating loads from the model coefficients; and (8) annual and period of record streamwater constituent load and yield estimates, including the 95-percent confidence intervals of the estimates.

These data describe microbiological analyses performed on groundwater samples from domestic drinking water supply collected from 42 groundwater wells in the Central Valley of California. Samples were collected between January 2014 and April 2014 for the Groundwater Ambient Monitoring and Assessment (GAMA) program priority basin assessment of the Madera, Chowchilla, and Kings (MACK) groundwater sub-basins’ shallow aquifers. A total of 75 wells were sampled for the MACK study unit between August 2013 and April 2014. Samples for this dataset were vacuum filtered and plated on MI and mEI agars prior to incubation to promote colony growth. Colonies were tallied by their species into columns for various fecal indicator bacteria (FIBs): total coliforms (TCs), Escherichia coli (E. coli), enterococci. Non-target growths were also counted and tallied. Six additional replicate samples were collected for quality assurance. Of the 579 total FIB colonies detected, 106 were selected for polymerase chain reaction (PCR) analysis with the goal of sequencing their DNA. Selected colonies consisted of both target and non-target growths and were taken from 14 samples collected at 13 different wells. DNA sequencing was successful for 34 of the sampled colonies out of a total of 59 submitted. Results for these analyses were reported in FASTA format with the number of bases and their starting position indicated for each batch.

Fecal indicator concentrations, and water quality physico-chemical parameters. This dataset is associated with the following publications: Bradshaw, J.K., B. Snyder, D. Spidle, R. Sidle, K. Sullivan, and M. Molina. Sediment and fecal indicator bacteria loading in a mixed land use watershed: Contributions from suspended sediment and bedload transport. JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 50(3): 598-611, (2021). Meinersmann, R.J., M.E. Berrang, J.K. Bradshaw, M. Molina, D.E. Cosby, L.L. Genzlinger, and B. Snyder. Recovery of thermophilic Campylobacter by three sampling methods from river sites in Northeast Georgia, USA, and their antimicrobial resistance genes. Letters in Applied Microbiology. Blackwell Publishing, Malden, MA, USA, 71(1): 102-107, (2020).

Regressions were developed to predict Escherichia coli (E. coli) concentrations at four U.S. Geological Survey (USGS) gages on streams in Chester and Delaware Counties in southeastern Pennsylvania. The regression analysis was based on 2019-24 discrete E. coli concentrations measured in samples collected approximately monthly by USGS from April to October and concurrent available streamflow and water-quality variables. Available water-quality variables included turbidity (Turb), water temperature, specific conductance (SC), pH and dissolved oxygen concentration measured continuously by monitors operated by USGS at the gages. The data used for regression and results of regression analysis are described in the Model Archive Summary for each site. Through the regression analysis, the variables that best predicted E. coli (EC) relative to water-quality standards were identified. Log10(Turb), seasonality terms, sin2piD_365 and cos2piD_365, and for some sites, SC, selected as explanatory variables in linear regression equations as the best predictors of log10(EC) based on residual plots and regression statistics. Sensitivity, specificity, positive predictive values, and negative predictive values were computed for the regression dataset to assess model reliability for predicting concentrations above and below a Pennsylvania Department of Environmental Protection (PADEP) standard of 410 colonies forming units (CFU) per 100 milliliters (mL) for E. coli in recreational water for the swimming season of May 1 through September 30. The data collection and regression analyses were done by USGS in cooperation with Chester County Health Department (CCHD) and Chester County Water Resources Authority (CCWRA).

This dataset contains stream-stage data for the Santa Cruz River near Nogales International Wastewater Treatment Plant Upstream of Railroad Trestle (SC5). The pressure transducer was mounted to a metal post secured in the stream near the right bank. The data were recorded using non-vented Solinst Levelogger for the period of February 12, 2015 to December 31, 2016. The data were logged continuously at a 15-minute interval and manually downloaded. Data were corrected with the atmospheric pressure collected from a Solinst Barologger located at SC14 and checked for erroneous data.