This data collection consists of water quality measurements, nutrient data and measured copper concentrations associated with experiments that derived site-specific guidline values (GVs) for tropical seawater microbiomes by integrating 16S rRNA gene amplicon sequencing with quantitative microbiome profiling and concentration-response modelling. Seawater was collected during high tide at three target sites adjacent to the Burdekin region of the Great Barrier Reef, representing varying disturbance histories: (1) Davies Reef, a high ecological value (HEV) coral reef reference site (S 18°49.826’ E 147°38.177’) situated 50 km offshore with low levels of human impacts and part of the Marine Protected Area; (2) Magnetic Island, a slightly to moderately disturbed (SD-MD) inshore coral/algal reef site (S 19°09.279’ E 146°52.108’) with some perturbations from shipping traffic, dredging, industry, and agricultural runoff; (3) Townsville Breakwater in close proximity to the Port of Townsville, a highly disturbed (HD) inshore site (S 19°14.629’ E 146°49.989’) with increased influence from shipping traffic, industry, and urban runoff. Seawater from each site was subsequently used in a 48-h copper exposure experiment. Water quality measurements (dissolved oxygen, pH and salinity) and water samples for nutrients (dissolved organic / inorganic carbon and nitrogen) were taken at 0-h and 48-h, following standard AIMS procedures. Representative water samples from the nominal experimental treatments (0, 0.1, 0.3, 1, 3, 10, 30, 60, 100, 300, 1000, 3000, 8000 μg Cu L-1) were sent to Envirolab for dissolved copper quantification. Data was entered into excel.

This data collection consists of water quality measurements, nutrient data and measured copper concentrations associated with an experiment exploring the effects of copper on seawater microbial communities to establish guideline values for copper toxicity to seawater microbiomes. Seawater for the experiment was collected from the AIMS jetty (19°16'38.4"S 147°03'32.1"E) in December 2020 and subsequently used in a 48-h exposure experiment. Water quality measurements (dissolved oxygen, pH and salinity) and water samples for nutrients (dissolved organic / inorganic carbon and nitrogen) were taken at 0-h and 48-h, following standard AIMS procedures. Representative water samples from the nominal experimental treatments (0, 0.1, 0.3, 1, 3, 10, 30, 100, 300 and 1000 µg L-1) were sent to Townsville Laboratory Services for dissolved copper quantification. Data was entered into excel. For full methodological and analytical details please refer to the full research publication, Thomas et al. (in press) its supplementary materials and the associated GitHub repository (GitHub - MarieCThomas/Copper.microbiome: Establishing guideline values for copper toxicity to marine microbiomes). Additionally, raw sequencing data can be found in the NCBI Sequence Read Archives under BioProject number PRJNA983933.

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).

Dataset describes measurements of host-associated qPCR genetic markers along with other water quality parameters and precipitation from samples collected at marine, estuary, and freshwater recreational sites. Additional details provided in attached Dataset Description document. “This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”

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).

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).

Whole-genome sequences of four strains closely related to members of the Mycobacterium chelonae group, isolated from biofilms in a drinking water distribution system simulator. This dataset is associated with the following publication: Gomez-Alvarez, V., and R. Revetta. Whole-Genome Sequences of Four Strains Closely Related with Members of the Mycobacterium chelonae group, Isolated from Biofilms in a Drinking Water Distribution System Simulator. Genome Announcements. American Society for Microbiology, Washington, DC, USA, 4(1): 1-2, (2016).

This is a compiled data set for the qPCR analyses, bacterial enumeration analyses, and water quality parameters collected for this study. This dataset is associated with the following publication: Buse, H., B. Morris, and E. Rice. Early detection of viable Francisella tularensis in environmental matrices byculture-based PCR. BMC Microbiology. BioMed Central Ltd, London, UK, 20(66): 15, (2020).