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).

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).

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).

Urban Stormwater Microbial Source Tracking and Antibiotic Resistance Gene Dataset

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Dataset includes water quality measurements from an urban stream and three municipal separate storm sewer system outfalls. Additional details provided in attached Dataset Description document. “This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”

Longitudinal Microbial Source Tracking Dataset

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Dataset describes measurements of host-associated qPCR genetic markers along with other water quality parameters and precipitation from samples collected at marine, estuary, and freshwater recreational sites. Additional details provided in attached Dataset Description document. “This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”

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).

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).

Li et al 20xx Data set

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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).

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).

Willis etal 20xx Data Set

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Data set includes measurements used in Figure 2.