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Li et al 20xx Data set
Data available in Science Hub includes measurements used to generate Figures 1, 2, S3, and S4. All other data is reported in the manuscript text. This dataset is associated with the following publication: Li, X., L. Peed, M. Sivaganesan, C. Kelty, C. Nietch, and O. Shanks. Evidence of Genetic Fecal Marker Interactions between Water Column and Periphyton in Artificial Streams. ACS Omega. American Chemical Society, Washington, DC, USA, 3(8): 10107-10113, (2018).
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Full-Scale qPCR FSI in the Tillamook Bay Watershed April 2019
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Fecal source identification qPCR, land use, and weather data used in the manuscript entitled, "Large-Scale Implementation of Standardized Quantitative Real-Time PCR Fecal Source Identification Procedures in the Tillamook Bay Watershed". This dataset is associated with the following publication: Li, X., M. Sivaganesan, C. Kelty, A. Zimmer-Faust, P. Clinton, J. Reichman, Y. Johnson, W. Matthews, S. Bailey, and O. Shanks. Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(6): e0216827, (2019).
Wanjugi et al 2016 Data Set
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Decomposition data of bacterial and viral fecal indicators in common human pollution types. This dataset is associated with the following publication: Wanjugi, P., M. Sivaganesan, A. Korajkic, C. Kelty, B. McMinn, R. Ulrich, V. Harwood, and O. Shanks. Differential Decomposition of Bacterial and Viral Fecal Indicators in Common Human Pollution Types. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 105: 591-601, (2016).
Willis etal 20xx Data Set
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Data set includes measurements used in Figure 2.
MICRON Data (2015-2016) with associated R Markdown code
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This data set includes water quality data and microbial community abundance tables for periphyton samples from this project. The data set also includes extensive R markdown code used to process the data and generate the results included in the report. This dataset is associated with the following publication: Hagy, J., R. Devereux, K. Houghton, D. Beddick, T. Pierce, and S. Friedman. Developing Microbial Community Indicators of Nutrient Exposure in Southeast Coastal Plain Streams using a Molecular Approach. US EPA Office of Research and Development, Washington, DC, USA, 2018.
Cao et al 20xx Data Set (Version 1)
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HF183/BacR287 qPCR data from standard curves and coastal water samples used to seed simulations in study. This dataset is associated with the following publication: Cao, Y., M. Sivaganesan, C. Kelty, D. Wang, A. Boehm, J. Griffith, S. Weisberg, and O. Shanks. A Human Fecal Contamination Score for Ranking Recreational Sites using the HF183/BacR287 Quantitative Real-Time PCR Method. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 128: 148-156, (2018).
Quantitative Fecal Pollution Assessment with Bacterial, Viral, and Molecular Methods in Small Stream Tributaries
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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).
A fecal score approximation model for analysis of real-time quantitative PCR fecal source identification measurements
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HF183/BacR287 qPCR standard control material and water sample measurements used to compare Bayesian and Traditional Fecal Score models. This dataset is associated with the following publication: Sivaganesan, M., J. Willis, A. Diedrich, and O. Shanks. A fecal score approximation model for analysis of real-time quantitative PCR fecal source identification measurements. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 255: 121482, (2024).
HF183/BFDrev and HumM2 qPCR data
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Concentration estimates for HF183/BFDrev and HumM2 qPCR genetic markers in raw sewage collected from 54 geographic locations across the United States. This dataset is associated with the following publication: Boehm, A., J. Soller, and O. Shanks. Human-Associated Fecal qPCR Measurements and Predicted Risk of Gastrointestinal Illness in Recreational Waters Contaminated with Raw Sewage. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 2: 270-275, (2015).
Occurrence of Recreational Water Quality Monitoring General Fecal Indicator Bacteria and Fecal Source Identification Genetic Markers in Gray Seal Scat
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Data set consists of qPCR measurements for fecal indicator bacteria genetic markers reported in Figure 2. This dataset is associated with the following publication: Paar, J., J. Willis, L. Sette, S.A. Wood, A. Bogomolni, M. Dulac, M. Sivaganesan, and O. Shanks. Occurrence of recreational water quality monitoring general fecal indicator bacteria and fecal source identification genetic markers in gray seal scat. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 934: 173220, (2024).
Shrestha et al 20xx Data Set
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Microbial source tracking, fecal indicator, and precipitation data sets. This dataset is associated with the following publication: Shrestha, A., C. Kelty, M. Sivaganesan, O. Shanks, and S. Dorevitch. Fecal pollution source characterization at non-point source impacted beaches under dry and wet weather conditions. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 182: 116014, (2020).