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.

This dataset shows the effects of herbicides and one fungicide (detected in Great Barrier Reef catchments) on the specific growth rates (from cell density data) of the microalgae Tisochrysis lutea during laboratory experiments conducted from 2018-2019. The aim of this project was to apply standard ecotoxicology protocols to determine the effects of Photosystem II (PSII), alternative herbicides and one fungicide on the growth of the marine microalgae Tisochrysis lutea. Growth bioassays were performed over 3-day exposures using pesticides that have been detected in the Great Barrier Reef catchment area (O'Brien et al., 2016). These toxicity data will enable improved assessment of the risks posed by PSII and alternative herbicides as well as the fungicide propiconazole to microalgae for both regulatory purposes and for comparison with other taxa. Methods: The haptophyte Tisochrysis lutea (formerly known as Isochrysis galbana)(Grant etal. 2017) (strain CS-177) was purchased from the Australian National Algae Supply Service, Hobart (CSIRO). Cultures of T. lutea were established in EDTA-free Guillard’s f/2 marine medium (Trenfield et al. 2015) (1 ml L-1 of f/2 medium in autoclaved natural seawater). Cultures were maintained in sterile 500 ml Erlenmeyer flasks as batch cultures in exponential growth phase with weekly aseptically transfers of 10 ml T. lutea suspension to 300 ml f/2 medium. Culture were maintained at 28 ± 1°C, 33 ± 1.5 psu and under a 12:12 h light:dark cycle (80 – 100 µmol photons m–2 s–1). Pesticide stock solutions were prepared using PESTANAL (Merck) analytical grade products (purity greater than or equal to 98%): diuron (CAS 330-54-1), metribuzin (CAS 21087-64-9), tebuthiuron (CAS 34014-18-1), bromacil (CAS 314-40-9), propazine (CAS 139-40-2), simazine (122-34-9), imazapic (CAS 104098-48-8), haloxyfop-p-methyl (CAS 72619-32-0), 2,4-D (CAS 94-75-7), MCPA (CAS 94-74-6), fluroxypyr (CAS 69377-81-7) and propiconazole (CAS 60207-90-1). The selection of pesticides was based on application rates and detection in coastal waters of the GBR (Grant et al. 2017, O’Brien et al. 2016). Pesticide stock solutions (100 – 1,000 mg L-1) were prepared by dissolving aliquots of the pure compounds in ultrapure water using clean, acid-washed (5% nitric acid) glass screw-top containers. Simazine, tebuthiuron and haloxyfop-p-methyl were dissolved using the carrier dimethyl sulfoxide (DMSO) (less than or equal to 0.02 % (v/v) in exposure solutions). Diuron, imazapic, metribuzin, bromacil, 2,4-D, propazine, MCPA, fluroxypyr and propiconazole were dissolved in acetone (less than or equal to 0.01 % (v/v) in exposure). Stock solutions were stored refrigerated and in the dark. Tests were conducted as previously described (Trenfield et al. 2015). Cultures of T. lutea were exposed to increasing concentrations of individual pesticides over a period of 72 h. Inoculum was taken from cultures in exponential growth phase (4-d old culture) and starting cell density assessed using a haemocytometer. For each treatment, a total volume of 250 mL test media was prepared in a clean, acid-washed 500 mL Schott bottle. Test media consisted of filtered (0.45 µm) seawater spiked with the respective pesticide stock, quarter strength EDTA-free f/2 media as nutrient source and T. lutea at a starting density of 3x103 or 1x104 cells mL-1. In each toxicity test, the response (specific growth rate of the culture) of the treatments exposed to pesticide were assessed against a seawater control group (no herbicide). For each test, 2 – 3 replicate 125 mL Erlenmeyer flasks (50 mL test volume) were assessed. Flasks were incubated at 27 – 29.0°C under a 12:12 h light:dark cycle (80 – 100 µmol photons m–2 s–1). After 72h, sub-samples (7 ml) were taken from each flask and cell densities measured using a flow cytometer (BD Accuri C6, BD Biosciences, CA, USA). Specific growth rates (SGR) were expressed as the logarithmic increase in cell density from day i (ti) to day j (tj) as per

Sediment was dosed with six highly hydrophobic chemicals with estimated log Kows ranging up to 18.3. Sediment bioaccumulation tests with Lumbriculus variegatus were performed with the dosed sediment. The attached dataset contains the concentrations in the organisms from the uptake and elimination portions of the test. and supporting data, e.g. lipid contents and weight change for the organisms. This dataset is associated with the following publication: Burkhard, L., T. Lahren, T. Highland, R. Hockett, D. Mount, and T. Norberg-King. Bioaccumulation of highly hydrophobic chemicals by Lumbriculus variegatus. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 76(1): 129-141, (2019).

This dataset includes CSV data files containing environmental data that may be associated with the occurrence and toxicity of the diatom Pseudo nitzschia in Frenchman Bay, Maine, that can form harmful algal blooms and produce the toxin domoic acid. The dataset covers the period 2010 through 2022 or shorter period depending on the variable. Elevated concentrations of domoic acid in Pseudo nitzschia can lead to the contamination of shellfish, threats to human health and closures of shellfish harvesting areas. This dataset was compiled in cooperation with the National Park Service.XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “Site_Infomation_v4.csv” contains the latitudes and longitudes for the locations where Pseudo nitzschia cells were enumerated, water quality and mussel tissue samples were collected, nutrient loads were estimated, and ocean temperature and salinity were measured.XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “Pn_Cells_Ancillary_vars_v2.csv” contains Pseudo nitzschia monitoring data (cells/liter) for two locations: the Mount Desert Island Biological Laboratory and the Bar Harbor Town Pier for large and small Pseudo nitzschia cells as well as ancillary data including timing of sampling in relation to the tides, sampling depth, air temperature, water temperature, and salinity (PSU). These data were collected with variable frequency, generally approximately weekly to monthly from 3/2007 through 12/2022.XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “MDIBL_BHTP_Nutrients_Field_Parms.csv” contains nutrient concentration data (nitrate + nitrite, silica, ammonium and orthophosphate) for two locations: the Mount Desert Island Biological Laboratory (MDIBL) and the Bar Harbor Town Pier (BHTP). These data were collected with variable frequency generally from approximately weekly to monthly from May through October and less frequently and with fewer samples in other months. Data are available from samples from 2013 to 2018 and in 2021.XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “Water-quality_data_from_Frenchman_Bay_coastal_locations.csv” contains nutrient concentration data (total nitrogen, ammonium, phosphorus, and silicate) and water temperature, air temperature, salinity, and rainfall in the past 48 hours for (Berry Cove, various sites at Hadley Point; Jordan River, Racoon Cove, Skillings River, Thomas Island East, Thomas Island West). These data were collected with variable frequency generally approximately weekly to monthly from June through September. The period of record varied by site: Berry Cove, 2010 to 2017; various sites at Hadley Point, 2007 to 2017; Jordan River, 2008 to 2017; Racoon Cove, 2010 to 2017; Skillings River, 2010 to 2015; Thomas Island East, 2011 to 2017; Thomas Island West, 2010 to 2017. The data were retrieved from the ANECDATA.org data archive. XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “Trib_N_P_Runoff_Loads_v2.csv” contains monthly nutrient load (kilogram/month) for total dissolved nitrogen and total phosphorus as well as monthly mean air temperature, mean precipitation, and mean runoff data for 24 tributaries that drain into Frenchman Bay for January 2010 through December 2021. The 7-digit numbers in the column headers of the “Trib_N_P_Runoff_Loads_v2.csv” file refer to the reach ID as defined in the file “Static_N_P_Annual_Loads_SPARROW_Model.csv”. The computation of loads is based on the static loads from the Sparrow Model shown in the file “Static_N_P_Annual_Loads_SPARROW_Model.csv” that were adjusted for monthly runoff modeled using the Thornthwaite Water Balance Model that, in turn used precipitation and temperature data from the PRISM model 4-kilometer quadrant data derived from GRIDMET. The centroids for the PRISM quadrants that were included for the calculated runoff for each tributary watershed are listed in the file “Site_Infomation_v4.csv”.XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “Solar_Radiation_Frenchman_Bay.csv” contains monthly average solar radiation data for Frenchman Bay for January 2010 through December 2021. The

This dataset includes CSV data files containing environmental data that may be associated with the occurrence and toxicity of the diatom Pseudo nitzschia in Frenchman Bay, Maine, that can form harmful algal blooms and produce the toxin domoic acid. The dataset covers the period 2010 through 2022 or shorter period depending on the variable. Elevated concentrations of domoic acid in Pseudo nitzschia can lead to the contamination of shellfish, threats to human health and closures of shellfish harvesting areas. This dataset was compiled in cooperation with the National Park Service.XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “Site_Infomation_v4.csv” contains the latitudes and longitudes for the locations where Pseudo nitzschia cells were enumerated, water quality and mussel tissue samples were collected, nutrient loads were estimated, and ocean temperature and salinity were measured.XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “Pn_Cells_Ancillary_vars_v2.csv” contains Pseudo nitzschia monitoring data (cells/liter) for two locations: the Mount Desert Island Biological Laboratory and the Bar Harbor Town Pier for large and small Pseudo nitzschia cells as well as ancillary data including timing of sampling in relation to the tides, sampling depth, air temperature, water temperature, and salinity (PSU). These data were collected with variable frequency, generally approximately weekly to monthly from 3/2007 through 12/2022.XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “MDIBL_BHTP_Nutrients_Field_Parms.csv” contains nutrient concentration data (nitrate + nitrite, silica, ammonium and orthophosphate) for two locations: the Mount Desert Island Biological Laboratory (MDIBL) and the Bar Harbor Town Pier (BHTP). These data were collected with variable frequency generally from approximately weekly to monthly from May through October and less frequently and with fewer samples in other months. Data are available from samples from 2013 to 2018 and in 2021.XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “Water-quality_data_from_Frenchman_Bay_coastal_locations.csv” contains nutrient concentration data (total nitrogen, ammonium, phosphorus, and silicate) and water temperature, air temperature, salinity, and rainfall in the past 48 hours for (Berry Cove, various sites at Hadley Point; Jordan River, Racoon Cove, Skillings River, Thomas Island East, Thomas Island West). These data were collected with variable frequency generally approximately weekly to monthly from June through September. The period of record varied by site: Berry Cove, 2010 to 2017; various sites at Hadley Point, 2007 to 2017; Jordan River, 2008 to 2017; Racoon Cove, 2010 to 2017; Skillings River, 2010 to 2015; Thomas Island East, 2011 to 2017; Thomas Island West, 2010 to 2017. The data were retrieved from the ANECDATA.org data archive. XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “Trib_N_P_Runoff_Loads_v2.csv” contains monthly nutrient load (kilogram/month) for total dissolved nitrogen and total phosphorus as well as monthly mean air temperature, mean precipitation, and mean runoff data for 24 tributaries that drain into Frenchman Bay for January 2010 through December 2021. The 7-digit numbers in the column headers of the “Trib_N_P_Runoff_Loads_v2.csv” file refer to the reach ID as defined in the file “Static_N_P_Annual_Loads_SPARROW_Model.csv”. The computation of loads is based on the static loads from the Sparrow Model shown in the file “Static_N_P_Annual_Loads_SPARROW_Model.csv” that were adjusted for monthly runoff modeled using the Thornthwaite Water Balance Model that, in turn used precipitation and temperature data from the PRISM model 4-kilometer quadrant data derived from GRIDMET. The centroids for the PRISM quadrants that were included for the calculated runoff for each tributary watershed are listed in the file “Site_Infomation_v4.csv”.XXXXXXXXXXXXXXXXXXXXXXXXXXX The file “Solar_Radiation_Frenchman_Bay.csv” contains monthly average solar radiation data for Frenchman Bay for January 2010 through December 2021. The

The dataset contains fish mortality associated with various treatment of oil and dispersants in water accommodated fractions and sediment. The dataset also contains analytical chemistry associated with each experimental treatment. This dataset is associated with the following publications: Barron, M. Photoenhanced Toxicity of Petroleum to Aquatic Invertebrates and Fish. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 73(1): 40-46, (2017). Barron, M., J. Kryzwa, C. Lilavois, and S. Raimondo. Photoenhanced toxicity of weathered crude oil in sediment and water to larval zebrafish. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 100(1): 49-53, (2018).

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 dataset is the raw Luminex antibody responses to six common waterborne pathogens reported in MFI (Median Fluorescence Intensity) units. This dataset is associated with the following publication: Augustine , S., T. Eason , K. Simmons, C. Curioso, S. Griffin , M. Ramudit, and T. Plunkett. Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens. Journal of Visualized Experiments. JoVE, Somerville, MA, USA, 115: e54415, (2016).

This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ Indian River Lagoon - Link Port (IRL-LP) station in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this dataset when new files are available.