Contains Water quality data and Legionella pneumophila information by water sample. This dataset is associated with the following publication: Donohue, M., M. Pham, S. Brown, K. Easwaran, S. Vesper, and J. Mistry. Water Quality Influences Legionella pneumophila Determination. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 238: 119989, (2023).

Water quality measurements, disinfectant decay during experiments, raw data, qPCR data. This dataset is associated with the following publication: Buse, H., J. Szabo, B. Morris, and I. Struewing. Chlorine and monochloramine disinfection of Legionella pneumophila colonizing copper and PVC drinking water biofilms. APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 1-33, (2019).

The data contained in this worksheet provides the quantitative detection of potential pathogens for the bathroom water samples used in this study. This dataset is associated with the following publication: Lu, J., H. Buse, I. Struewing, A. Zhao, D. Lytle, and N. Ashbolt. Annual variations and effects of temperature on Legionella spp. and other potential opportunistic pathogens in tap and shower water. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 24(0): 2326-2336, (2016).

The data contained in this worksheet provides the quantitative detection of potential pathogens for the bathroom water samples used in this study. This dataset is associated with the following publication: Lu, J., H. Buse, I. Struewing, A. Zhao, D. Lytle, and N. Ashbolt. Annual variations and effects of temperature on Legionella spp. and other potential opportunistic pathogens in tap and shower water. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 24(0): 2326-2336, (2016).

They are qPCR data for opportunistic pathogens and drinking water parameters. This dataset is associated with the following publication: Zhang, C., I. Struewing, J. Mistry, D. Wahman, J. Pressman, and J. Lu. Legionella and other opportunistic pathogens in full-scale chloraminated municipal drinking water distribution systems. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 205: 117571, (2021).

The dataset including qPCR, phytoplankton counts and water quality parameters are used for the evaluation of phytoplankton identification and quantification and assessment of eutrophication. This dataset is associated with the following publication: Zhang, C., K. McIntosh, N. Sienkiewicz, E.A. Stelzer, J.L. Graham, and J. Lu. Using cyanobacteria and other phytoplankton to assess trophic conditions: A qPCR-based, multi-year study in twelve large rivers across the United States. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 235: 119679, (2023).

Quantitative polymerase chain reaction (qPCR) has become a frequently used technique for quantifying enterococci in recreational surface waters, but there are several methodological options. Here we evaluated how three method permutations, type of mastermix, sample extract dilution and use of controls in results calculation, affect method reliability among multiple laboratories with respect to sample interference. Multiple samples from each of 22 sites representing an array of habitat types were analyzed using EPA Method 1611 and 1609 reagents with full strength and five-fold diluted extracts. The presence of interference was assessed three ways: using sample processing and PCR amplifications controls; consistency of results across extract dilutions; and relative recovery of target genes from spiked enterococci in water sample compared to control matrices with acceptable recovery defined as 50 to 200%. Method 1609, which is based on an environmental mastermix, was found to be superior to Method 1611, which is based on a universal mastermix. Method 1611 had over a 40% control assay failure rate with undiluted extracts and a 6% failure rate with diluted extracts. Method 1609 failed in only 11% and 3% of undiluted and diluted extracts analyses. Use of sample processing control assay results in the delta-delta Ct method for calculating relative target gene recoveries increased the number of acceptable recovery results. Delta-delta tended to bias recoveries from apparent partially inhibitory samples on the high side which could help in avoiding potential underestimates of enterococci - an important consideration in a public health context. Control assay and delta-delta recovery results were largely consistent across the range of habitats sampled, and among laboratories. The methodological option that best balanced acceptable estimated target gene recoveries with method sensitivity and avoidance of underestimated enterococci densities was Method 1609 without extract dilution and using the delta-delta calculation method. The applicability of this method can be extended by the analysis of diluted extracts to sites where interference is indicated but, particularly in these instances, should be confirmed by augmenting the control assays with analyses for target gene recoveries from spiked target organisms. This dataset is associated with the following publication: Haugland , R., S. Siefring , M. Varma , K. Oshima , M. Sivaganesan , Y. Cao, M. Raith, J. Griffith, S. Weisberg, R. Noble, A.D. Blackwood, J. Kinzelman, T. Anan'eva, R. Bushon, E. Stelzer, V. Harwood, K. Gordon, and C. Sinigalliano. Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters. JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 123(1): 114-125, (2016).

This Excel file contains all the raw data of Legionella pneumophila determined by both culture and Legiolert methods. Datasheets were prepared separately for each figure and table. This dataset is associated with the following publication: Boczek, L., M. Tang, C. Formal, D. Lytle, and H. Ryu. Comparison of two culture methods for the enumeration of Legionella pneumophila from potable water samples. JOURNAL OF WATER AND HEALTH. IWA Publishing, London, UK, 19(3): 468-477, (2021).

The dataset provides the raw data in support of Tables 1-4 of the paper and include: colony forming unit (CFU) data for each of three replicates of sand, loam, and clay soils; results for the sand/clay and loam/clay soil blend culture experiments; Quibit DNA concentration data; and polymerase chain reaction data. This dataset is associated with the following publication: Griffin, D., J. Lisle, D. Feldhake, and E. Silvestri. Colony-Forming Unit Spreadplate Assay versus Liquid Culture Enrichment-Polymerase Chain Reaction Assay for the Detection of Bacillus Endospores in Soils. Geosciences. MDPI AG, Basel, SWITZERLAND, 10(1): 14, (2020).

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).