The relative abundance of antibiotic resistance genes measured from spatially and temporally distributed sampling in Kewaunee County, Wisconsin.

ARG and environmental parameters data collected at Proctor Creek, Atlanta, GA from 2015-2017. This dataset is associated with the following publication: Sowah, R., M. Molina, O. Georgacopoulos, B. Snyder, and M. Cyterski. Sources and Drivers of ARGs in Urban Streams in Atlanta, Georgia, USA. Microorganisms. MDPI, Basel, SWITZERLAND, 10(9): 1804, (2022).

ARG, intI1, fecal indicator bacteria PCR data. This dataset is associated with the following publication: Keely, S., N. Brinkman, E. Wheaton, M. Jahne, S. Siefring, M. Varma, R. Hill, S. Leibowitz, R. Martin, J. Garland, and R. Haugland. Geospatial Patterns of Antimicrobial Resistance Genes in the US EPA National Rivers and Streams Assessment Survey. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(21): 14960–14971, (2022).

PS_GenBank.fasta file contain the sequences of the bacterial 16S rRNA-encoding gene for each representative sequence. The sequence containing four hypervariable regions was amplified using the primer set Eub-8f and 787. PS_GenBank.xlsx file contains rows as sample and columns as entries representing the accession number (NCBI) deposited in GenBank for each representative sequence (i.e. unique sequences). PS_OTU.fasta file contain the sequences of the bacterial 16S rRNA-encoding gene for each Operational Taxonomic Unit (OTU). The sequence containing four hypervariable regions was amplified using the primer set Eub-8f and 787. This dataset is associated with the following publication: Revetta , R., V. Gomez-Alvarez, T. Gerke, J. Santodomingo , and N. Ashbolt. CHANGES IN BACTERIAL COMPOSITION OF BIOFILM IN A METROPOLITAN DRINKING WATER DISTRIBUTION SYSTEM. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 121(1): 294-305, (2016).

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).

An abundance matrix (EX_taxonomic_lineage.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a ratio of all sequences obtained for each individual sample. This dataset is associated with the following publication: Gomez-Alvarez, V., S. Pfaller, J. Pressman, D. Wahman, and R. Revetta. Resilience of microbial communities in a simulated drinking water distribution system subjected to disturbances: role of conditionally rare taxa and potential implications for antibiotic-resistant bacteria. Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge, UK, 2: 645-657, (2016).

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 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.