The raw sequence reads have been submitted to the NCBI Sequence Read Archive (SRA) under the BioProject PRJNA961987 with the following BioSample numbers: SAMN39596420, SAMN39596421, SAMN39596422, SAMN39596423, SAMN39596424, SAMN39596425, SAMN39596426, SAMN39596427, SAMN39596428, SAMN39596429, SAMN39596430, SAMN39596431, SAMN39596432, SAMN39596433, SAMN39596434, SAMN39596435, SAMN39596436, SAMN39596437, and SAMN39596438. A table (Table_diversity_indices.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), diversity indices (Chao and Shannon), and water temperature (°C) for each Set of samples. A table (Table_Legiolert.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), abundance of cultured Legionella pneumophila (MPN/100mL), and water temperature (°C) for each Set of samples. A table (Table_qPCR_L_pneumophila.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of L. pneumophila (GCN/100mL), and water temperature (°C) for each Set of samples. A table (Table_qPCR_Legionella.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of Legionella spp. (GCN/100mL), and water temperature (°C) for each Set of samples. A table (Table_qPCR_Mycobacterium.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of Mycobacterium spp. (GCN/100mL), and water temperature (°C) for each Set of samples. A table (Table_qPCR_V_vermiformis.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of V. vermiformis (GCN/100mL), and water temperature (°C) for each Set of samples. An abundance matrix (Table_taxonomy.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a number of reads obtained for each Set of samples. A table (Table_water_temperature.xlsx) contains rows as water samples with ID, columns as temperature (°C and °F) measured from the top, bottom and drain of the water tank for each Set of samples. This dataset is associated with the following publication: Gomez-Alvarez, V., H. Ryu, M. McNeely, C. Muhlen, D. Williams, D. Lytle, and L. Boczek. Vertical Stratification of the Water Microbiome in an Electric Water Heater Tank: implications for premise plumbing opportunistic pathogens. JOURNAL OF WATER AND HEALTH. IWA Publishing, London, UK, 22(12): 2346–2357, (2024).

The raw sequencing data for this study have been deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB40814 with the following BioSample numbers: SAMEA7465213 (sample DWDS A1), SAMEA7465214 (DWDS A2), SAMEA7465217 (DWDS B1), SAMEA7465218 (DWDS B2), SAMEA7465220 (DWDS C1), SAMEA7465221 (DWDS C2), SAMEA7465222 (DWDS D1), SAMEA7465223 (DWDS D2), SAMEA7465226 (DWDS E1), and SAMEA7465227 (DWDS E2). This dataset is associated with the following publication: Gomez-Alvarez, V., S. Siponen, A. Kauppinen, A. Hokajarvi , A. Tiwari, A. Sarekoski, I.T. Miettinen, E. Torvinen, and T. Pitkanen. A comparative analysis employing a gene- and genome-centric metagenomic approach reveals changes in composition, function, and activity in waterworks with different treatment processes and source water in Finland. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 229: 119495, (2023).

This dataset contains the molecular occurrence and concentration of Legionella pneumophila, M. avium, M. intracellulare and M. abscessus by structure type. Portions of this dataset are inaccessible because: This data set will have a second paper that is not written yet. Please hold off publishing the data set until the second paper is published. They can be accessed through the following means: This data will be accessible via Science Hub at a later date. Format: Molecular Data. This dataset is associated with the following publication: Donohue, M., J. Mistry, N. Tucker, and S. Vesper. Hot Water in Residences and Office Buildings Have Distinctive Legionella pneumophila Contamination Risk. . (ed.), INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam, NETHERLANDS, 245: 114023, (2022).

A table (DP_SRA.xlsx) contains rows as sample and columns as entries representing the biosample accession number (NCBI), collection (date), library strategy, target (source), and sequencing (technology) for each individual sample. The zip file (Genome_Set01.zip) contain nine (9) fasta file (DP_bin_02.fasta, DP_bin_04.fasta, DP_bin_09.fasta, DP_bin_10.fasta, DP_bin_14.fasta, DP_bin_15.fasta, DP_bin_16a.fasta, DP_bin_20.fasta, DP_bin_23.fasta) with the contig sequences (i.e. binning) for each metagenome-assembled genomes (MAGs). These data are available from the NCBI Sequence Read Archive (SRA) under the BioProject (https://www.ncbi.nlm.nih.gov/bioproject) with accession number PRJNA646252 and the following BioSample numbers: SAMN15536103 to SAMN15536108. This dataset is associated with the following publication: Gomez-Alvarez, V., H. Liu, J. Pressman, and D. Wahman. Metagenomic Profile of Microbial Communities in a Drinking Water Storage Tank Sediment after Sequential Exposure to Monochloramine, Free Chlorine, and Monochloramine. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 1(5): 1283-1294, (2021).

Draft genome sequences of six Mycobacterium immunogenum strains isolated from a chloraminated drinking water distribution system simulator subjected to changes in operational parameters. This dataset is associated with the following publication: Gomez-Alvarez, V., and R. Revetta. Draft Genome Sequences of Six Mycobacterium immunogenum, Obtained from a Chloraminated Drinking Water Distribution System Simulator. Genome Announcements. American Society for Microbiology, Washington, DC, USA, 4(1): e01538-15, (2016).

The data set was used to produce tables and figures in paper. This dataset is associated with the following publications: Lytle, D., S. Pfaller, C. Muhlen, I. Struewing, S. Triantafyllidou, C. White, S. Hayes, D. King, and J. Lu. A Comprehensive Evaluation of Monochloramine Disinfection on Water Quality, Legionella and Other Important Microorganisms in a Hospital. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 189: 116656, (2021). Lytle, D., C. Formal, K. Cahalan, C. Muhlen, and S. Triantafyllidou. The Impact of Sampling Approach and Daily Water Usage on Lead Levels Measured at the Tap. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 197: 117071, (2021).

The dataset contains the raw data used to produce the data in the following journal article: Evaluation of a Modified Rapid Viability-Polymerase Chain Reaction Method for Bacillus Spores in Water Matrices. This dataset is associated with the following publication: Bushon, R., A. Brady, C. Kephart, and V. Gallardo. Evaluation of a Modified Rapid Viability-Polymerase Chain Reaction Method for Bacillus atrophaeus Spores in Water Matrices. JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 188: 106293, (2021).

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

Surface water samples (n = 33) were collected in fall of 2023 at stream sites in Scott County Iowa, USA and were analyzed for microbial source tracking markers by quantitative polymerase chain reaction at the Laboratory for Infectious Disease and the Environment (LIDE). Microbial source tracking markers identify fecal sources of contamination by detecting microbes that are specific to certain animals. Cooperators include Partners of Scott County Watersheds, Prairie Rivers of Iowa, and U.S. Department of Agriculture-Agricultural Research Service.