The bacteria sequence data generated in this study is available in the Short Read Archive (SRA) of NCBI (https://www.ncbi.nlm.nih.gov/) under BioProject PRJNA509718.

The bacteria sequence data generated in this study is available in the Short Read Archive (SRA) of NCBI (https://www.ncbi.nlm.nih.gov/) under BioProject PRJNA509718. This dataset is associated with the following publication: Siponen, S., J. Ikonen, V. Gomez-Alvarez, A. Hokajärvi, M. Ruokolainen, B. Jayaprakash, M. Kolehmainen, I.T. Miettinen, T. Pitkänen, and E. Torvinen. Effect of Pipe Material and Disinfectant on Active Bacterial Communities in Drinking Water and Biofilms. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 136(1): lxaf004, (2025).

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).

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).

1. 16S rRNA sequences, generated using Illumina sequencer, and 2. water parameters, included temperature and chlorine residual concentrations. This dataset is associated with the following publication: Zhang, C., K. Qin, I. Struewing, H.Y. Buse, J. SantoDomingo, D. Lytle, and J. Lu. The Bacterial Community Diversity of Bathroom Hot Tap Water Was Significantly Lower Than That of Cold Tap and Shower Water. Frontiers in Microbiology. Frontiers, Lausanne, SWITZERLAND, 12: 625324, (2021).

,This repository contains data supporting the publication, "Detection of viral, bacterial, and protozoan pathogens and microbial source tracking markers in paired large- and small-volume water samples." The dataset comprises qPCR concentrations of microbial targets in paired large volume and small volume samples from field studies and laboratory recovery experiments, as described in the main publication.,"Field studies.csv" contains sample data and target concentrations for three field studies, two in groundwater and one in surface water. In the "Groundwater - Private wells (n = 138)" study, large volume samples taken by dead-end ultrafiltration were compared to small volume grab samples. In the remaining two studies, large volume dead-end ultrafiltration and small volume samples were collected synchronously to remove the effect of spatial/temporal heterogeneity during collection. Only the 15 qPCR assays with detections and common to all studies are included. Geographic information is not included to protect the privacy of study participants.,"Recovery data.csv" contains laboratory data for large volume and small volume method recovery of three microbial targets (a bacterium, a virus, and a protozoan) at varying initial concentrations.,"Storage data.csv" contains laboratory data for microbial target decay during storage prior to processing. Liquid small volume samples and large volume ultrafilters were stored at 4 C to simulate normal sample storage and transport conditions. Concentrations of three microbial targets (a bacterium, a virus, and a protozoan) were determined for storage times from 0 to 96 hours.,Descriptive data for all microbial targets is provided in "Target data.csv". An explanation of variables (with units) for all data files can found in "Key to variables.csv".,

The dataset includes the results of DNA concentrations, barcode 16S information for DNA sequencing, and data analysis. This dataset is associated with the following publication: Jeon, Y., l. li, M. Bhatia, H. Ryu, J. SantoDomingo, J. Brown, J. Goetz, and y. seo. Impacts of severe harmful algal blooms on bacterial communities in full-scale biological filtration systems for drinking water treatment. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 927: e171301, (2024).

Data were collected in August and September 2015 for analysis of bacteria communities of the Grand Calumet River and associated shorelines. Water samples were collected on three occasions corresponding to one rain-related (wet) events and two non-rain (dry) events. Water samples were collected in the Grand Calumet River, at the mouth of the river, at offshore locations around the peninsular impoundment and at shoreline locations: Jeorse Park (East Chicago, Indiana), Whihala (Whiting, Indiana), and 63rd Street (Chicago, Illinois) beaches. Samples were collected in triplicate, and water was filtered at the USGS Lake Michigan Ecological Research Station. After DNA extraction, samples were analyzed using 16S rRNA sequencing using Illumina sequencing. Taxonomic identification was assigned for communities in each sample, at multiple taxonomic levels (Kingdom, Phylum, Class, Order, Family, Genus). Water was also analyzed for E. coli bacteria and turbidity, at the USGS laboratory. Hydrological conditions corresponding to the days of sample collection were obtained from publicly available USGS information (NWIS-National Water Information System). The coordinate file includes information regarding sampling locations and their corresponding latitude and longitudes. The Data file include E. coli densities, laboratory turbidity measurements, and NWIS hydrological data. The raw metagenomic data can be accessed at the NCBI repository under the biproject accession PRJNA541325: https://www.ncbi.nlm.nih.gov/sra/PRJNA541325