An abundance matrix (EX_OTU.xlsx) contains rows as OTU, columns as samples, and entries representing the abundance of each OTU 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).

An abundance matrix (BM_OTU.xlsx) contains rows as OTU, columns as samples, and entries representing the abundance of each OTU as a ratio of all sequences obtained for each individual sample. This dataset is associated with the following publication: Gomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning. Frontiers in Microbiology. Frontiers, Lausanne, SWITZERLAND, 11: 2254-2267, (2020).

An abundance matrix (PS_OTU.xlsx) contains rows as OTU, columns as samples, and entries representing the abundance of each OTU as a ratio of all sequences obtained for each individual sample. 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).

A table (DP_OTU.xlsx) contains rows as OTUs, columns as samples, and entries representing the abundance of each OTU. 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).

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).

The EX_Genome_Assemblies.zip file contain the contig sequences (i.e. assembly) of fifteen isolates used for genomic and antibiotic resistance genes (ARG) analysis. EX_OTU.fasta file contain the sequences of the bacterial 16S rRNA-encoding V4 region gene (≈250 nt) for each Operational Taxonomic Unit (OTU). 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).

The fasta file (BM_OTU.fasta) contain the sequences of the bacterial 16S rRNA-encoding V4 region gene (≈250 nt) for each Operational Taxonomic Unit (OTU). This dataset is associated with the following publication: Gomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning. Frontiers in Microbiology. Frontiers, Lausanne, SWITZERLAND, 11: 2254-2267, (2020).

An abundance matrix (BM_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., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning. Frontiers in Microbiology. Frontiers, Lausanne, SWITZERLAND, 11: 2254-2267, (2020).

An abundance matrix (Table - 16S rRNA taxonomy.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a number of reads and percentage of all reads obtained for each individual sample. A table (Table - antibiotic resistance genes.xlsx) contains rows as antibiotic resistance genes (AMR), columns as AMR gene symbol, AMR gene name, AMR type, AMR subtype, AMR class, and AMR subclass at each tank. A table (Table - metabolic pathways relative abundance.xlsx) contains rows as metabolic pathways, columns as samples, and entries representing the relative abundance of each pathway. A table (Table - samples.xlsx) with description of storage tank and their locations.

1. All OTUs (operational taxonomic units) raw sequences 2. Bacterial taxonomic structures at class and phylum level 3. Analytical data generated by multiple bioinformatics analyses. This dataset is not publicly accessible because: All the data were generated by THL in Finland. There is no EPA generated data. It can be accessed through the following means: Contact Dr. Tarja Pitkanen in Finnish Institute for Health and Welfare to request all the data used for the manuscript. Here is her contact information. Phone: +358 29 524 6315 Email: tarja.pitkanen@thl.fi. Format: Not available. This dataset is associated with the following publication: Tiwari, A., A. Hokajärvi, J. SantoDomingo, M. Elk, B. Jayaprakash, H. Ryu, S. Siponen, A. Vepsäläinen, A. Kauppinen, O. Puurunen, A. Artimo, N. Perkola, T. Huttula, I.T. Miettinen, and T. Pitkänen. Bacterial diversity and predicted enzymatic function in a multipurpose surface water system – from wastewater effluent discharges to drinking water production. Environmental Microbiome. BioMed Central Ltd, London, UK, 16(11): 17, (2021).