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 corresponding to figures in manuscript. This dataset is associated with the following publication: Durden, L., K. Eckhoff, A. Burdsall, S. Youn, C. Andujar-Gonzalez, L. Abu-Niaaj, M. Magnuson, and W. Harper. Characterizing Bacillus globigii as a Bacillus anthracis surrogate for wastewater treatment studies and bioaerosol emissions. Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge, UK, 9(12): 3458�3466, (2023).

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).

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 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 dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS) during federal fiscal years 2012-2017 (October 1, 2011 through September 30, 2017). The environmental samples were collected across the United States by the USGS National Water Quality Assessment Project and other projects in Water Science Centers. The microbiological constituents include total coliforms, Escherichia coli (E. coli), enterococci, coliphage (F-specific and somatic), aerobic endospores, and actinomycetes. These quality-control data can be used to assess the quality of microbiological data for the associated environmental samples.

This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS) during federal fiscal years 2012-2017 (October 1, 2011 through September 30, 2017). The environmental samples were collected across the United States by the USGS National Water Quality Assessment Project and other projects in Water Science Centers. The microbiological constituents include total coliforms, Escherichia coli (E. coli), enterococci, coliphage (F-specific and somatic), aerobic endospores, and actinomycetes. These quality-control data can be used to assess the quality of microbiological data for the associated environmental samples.

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).