Includes annual probabilities of colonization (Pcol), probabilities of skin and blood stream (bs) infection (Pinf), and associated disability adjusted life years (DALY) for exposure to methicillin-susceptible and -resistant Staphylococcus aureus (MSSA/MRSA) in reclaimed greywater (GW) and wastewater (WW) as described in the article's text. A data dictionary is included in the metadata tab of the workbook. This dataset is associated with the following publication: Schoen, M., M. Jahne, J. Garland, L. Ramirez, A. Lopatkin, and K. Hamilton. Quantitative microbial risk assessment of antimicrobial resistant and susceptible Staphylococcus aureus in reclaimed wastewaters. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(20): 13413-14330, (2021).

Metadata Entry for "A population ecology- quantitative microbial risk assessment (QMRA) model for antibiotic-susceptible and antibiotic-resistant E. coli health risk in recreational water". Please contact the corresponding author to request the associated data. This dataset is not publicly accessible because: The data is non-EPA generated. It can be accessed through the following means: Please contact the corresponding author Kerry Hamilton at kerry.hamilton@asu.edu to request the data. Format: XLSX and/or CSV files. This dataset is associated with the following publication: Heida, A., M. Hamilton, J. Gambino, K. Sanderson, M. Schoen, M. Jahne, J. Garland, L. Ramirez, H. Quon, A. Lopatkin, and K. Hamilton. Population Ecology-Quantitative Microbial Risk Assessment (QMRA)Model for Antibiotic-Resistant and Susceptible E. coli in Recreational Water. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(9): 4266-4281, (2025).

This dataset contains simulated annual probabilities of infection for non-potable indoor use of greywater or wastewater treated by membrane bioreactors and chlorine disinfection. The .zip file contains .csv files for each combination of source water and pathogen; see readme file (read me file.txt) for data dictionary and file naming convention. This dataset is associated with the following publication: Schoen, M., M. Jahne, and J. Garland. Human health impact of non-potable reuse of distributed wastewater and greywater treated by membrane bioreactors (Microbial Risk Analysis). Microbial Risk Analysis. Elsevier B.V., Amsterdam, NETHERLANDS, 9: 72-81, (2018).

In this study, the abundance and distribution of antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs), as well as the concentrations of antibiotics present in a mixed-use watershed in Athens, GA, USA were examined, in order to enhance understanding of the existing state of AR in the freshwater environment. The current study has shown that antibiotic-related contaminants are prevalent in the freshwater environment, including commensal and pathogenic bacteria that are resistant to antibiotics used for human and veterinary purposes, medically important antibiotics, as well as the genes associated with resistance to these antibiotics. This dataset is not publicly accessible because: Data belong to coauthor at USDA ARS. It can be accessed through the following means: The data presented in this study are available on request from the corresponding author, Jonathan Frye at USDA. Format: Statistical analysis of data from surface water samples, see the journal article's Supplementary Materials for additional information: https://www.mdpi.com/article/10.3390/antibiotics12111586/s1. This dataset is associated with the following publication: Cho, S., L. Hiott, Q. Read, J. Damashek, J. Westrich, M. Edwards, R. Seim, D. Glinski, J. Bateman McDonald, E. Ottesen, E. Lipp, M. Henderson, C. Jackson, and J. Frye. Distribution of Antibiotic Resistance in a Mixed-Use Watershed and the Impact of Wastewater Treatment Plants on Antibiotic Resistance in Surface Water. The Journal of Antibiotics. Springer Nature, New York, NY, USA, 12(11): 1586, (2023).

This is the dataset for the research article "Enteric pathogen treatment requirements for non-potable water reuse despite limited exposure data". It contains log reduction results for various exposure conditions as described in the text. This dataset is associated with the following publication: Schoen, M., M. Jahne, and J. Garland. A risk-based evaluation of onsite, non-potable reuse systems developed in compliance with conventional water quality measures. JOURNAL OF WATER AND HEALTH. IWA Publishing, London, UK, 18(3): 331-344, (2020).

An Excel file containing spreadsheets that align with each of the tables in the paper. This dataset is associated with the following publication: A. Jahne, M., M. E. Schoen, J. L. Garland, S. P. Nappier, and J. A. Soller. Microbial Treatment Targets for Potable and Non-Potable Water Reuse – A Comprehensive Update and Harmonization. Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 11(11): 1136-1259, (2024).

The prevalence of antibiotic resistance genes in microbial communities from sewage wastewater streams and from offshore marine sediments in the vicinity of sewage wastewater outfalls in Southeast Florida was investigated from June 2018 to March 2019. Sediment and wastewater samples were analyzed for 15 different antibiotic resistant gene targets via polymerase chain reaction (PCR) presence/absence assays in Southeast Florida coral reef environments. Data collected from five sites (Broward North Wastewater Treatment Plant (WWTP), Broward North WWTP Outfall, Haµlover (Miami-Dade North) Outfall, Hollywood Outfall, Hollywood WWTP, and Miami-Dade North WWTP) illustrated widespread prevalence of antibiotic resistance genes in these microbial communities with the highest concentrations occurring in the sewage wastewater stream and in close proximity to the outfall pipe and outfall. Data indicated seasonal (wet versus dry season) trends and potential public and ecosystem health risks. Additionally, a reef in the Florida Keys was evaluated during the wet season using the same tools and approach prior to and after diseased corals were treated with amoxicillin. Resistance to amoxicillin was only observed in the post-treatment sample set.

The prevalence of antibiotic resistance genes in microbial communities from sewage wastewater streams and from offshore marine sediments in the vicinity of sewage wastewater outfalls in Southeast Florida was investigated from June 2018 to March 2019. Sediment and wastewater samples were analyzed for 15 different antibiotic resistant gene targets via polymerase chain reaction (PCR) presence/absence assays in Southeast Florida coral reef environments. Data collected from five sites (Broward North Wastewater Treatment Plant (WWTP), Broward North WWTP Outfall, Haµlover (Miami-Dade North) Outfall, Hollywood Outfall, Hollywood WWTP, and Miami-Dade North WWTP) illustrated widespread prevalence of antibiotic resistance genes in these microbial communities with the highest concentrations occurring in the sewage wastewater stream and in close proximity to the outfall pipe and outfall. Data indicated seasonal (wet versus dry season) trends and potential public and ecosystem health risks. Additionally, a reef in the Florida Keys was evaluated during the wet season using the same tools and approach prior to and after diseased corals were treated with amoxicillin. Resistance to amoxicillin was only observed in the post-treatment sample set.

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.”