Scripts and datasets used to merge available amphibian exposure into a collated data set with data analyses. This dataset is associated with the following publication: Purucker, T., M. Snyder, D. Glinski, R. Van Meter, K. Garber, E. Chelsvig, M. Cyterski, S. Sinnathamby, E. Paulukonis, and M. Henderson. Estimating dermal contact soil exposure for amphibians. Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 19(1): 9-16, (2022).

All data tables are available in the publication and uploaded onto ScienceHub. This dataset is associated with the following publication: Bangma, J., T.C. Guillette, M. Strynar, A. Lindstrom, J. McCord, D. Jenkins-Hill, C. Lau, N. Chernoff, and J. Lang. A rapid assessment bioaccumulation screening (RABS) study design for emerging per-and polyfluoroalkyl substances in mice exposed to industrially impacted surface water. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 308(1): 136159, (2022).

Rocky riffles in rivers support a complex community of algae, bacteria, fungi and detritus often held together by a polysaccharide matrix. This biofilm provides food for invertebrates, some fish, platypus, rakali and turtles. Biofilms are scoured naturally by high flows. River regulation alters the timing, duration and frequency of biofilm scouring. Environmental flows downstream of dams, including translucent and transparent releases are designed to restore some of the variability of flow and allow scouring to reset early-stage biofilm, which is more palatable for aquatic animals. IMEF biofilm and invertebrate studies were performed in the Hunter and Murrumbidgee Rivers, testing the hypothesis (IMEF Hypothesis 4) that restoring some freshes and high flows would induce scouring of silt and biofilms and improved habitat quality for some invertebrate scrapers and their predators. Sites located on the Murrumbidgee River downstream of Burrinjuck Dam, received periodic environmental releases, between April and October, as well as irrigation flows and uncontrolled spills. Riffle rock biofilms, aquatic invertebrate metrics and water quality were compared with reference sites on the unregulated Goobarragandra and Goodradigbee rivers. Control sites were chosen on the Tumut River, which is regulated by Blowering Dam but unlike the Murrumbidgee River did not receive variable environmental releases. Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the NSW Water Hub which has an online forum you can join.

Tables with data on the macroinvertebrate communities at multiple sites. Data list how many individuals of each of several taxa were retrieved from each site/ station. This dataset is associated with the following publication: Yeardley, R., B. Duffy, K. Kimbrough, J. Lazorchak, M. Mills, and E. Johnson. A Comparison of Two Macroinvertebrate Multi-Plate Sampling Methods to Inform Great Lakes Monitoring and Remediation Efforts. Journal of Environmental Protection. Scientific Research Publishing, Inc., Irvine, CA, USA, 14(12): 933-953, (2023).

Dataset containing experimental data and R scripts used for data analyses. This dataset is associated with the following publication: Van Meter, R., D. Glinski, M. Henderson , and T. Purucker. Soil organic matter content effects on dermal pesticide bioconcentration in American toads (Bufo americanus).. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(11): 2734–2741, (2016).

Bioconcentration data for Glinski DA, Henderson WM, Van Meter RJ, Purucker ST 2017. Effect of hydration status on pesticide uptake in anurans following exposure to contaminated soils. This dataset is associated with the following publication: Glinski, D., M. Henderson, R. Van Meter, and T. Purucker. Effect of hydration status on pesticide uptake in anurans following exposure to contaminated soils. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg, GERMANY, 25(16): 16192-16201, (2018).

The data for this project can be broken down into three sub-groups: TFM Pellet data, Temp data, and Water Quality data. Each subgroup and associated csv files are explained below: TFM Pellet data: The TFM Pellet dataset consists of 36 individual csv files with each file having a unique name making it representative of 1 trial of the study. For example “0.08 mps at 12C Trials rep 1.csv” would be the first replicate with a flow of 0.08 meters per second and a water temperature of 12°C. Each of the csv files has 16 columns of data. Target Temp: The target temperature of the trial Target Velocity: The target velocity (m/sec) of the trial Replicate #: The rep of the trial Actual Temp: The actual measured temp at the beginning of the trial Average Actual Velocity: The measured velocity in m/sec Average flow: The measured flow in Liters/min Average Height: The measured height of the water column (mm) Mass of TFM in Pellets: The mass of TFM (grams) in the pellets used Time Between Samples: the time in minutes between each sample Sample Name: a unique name given to each sample based on the time Time: numeric description of how many hours into the trial it has been River Conc.: TFM concentration (mg/L)provided by HPLC data TFM Released: The amount of TFM in mg released from the pellets during the previous sample time based on the River Conc. at this sample time: Total TFM Released: a cumulative amount of TFM released % TFM Used: Percent TFM that is gone from the pellets, essentially a percent recovery % recov correction: corrects for the amount of TFM used in order to have a total recovery of 100% Temp Data: This dataset consists of 3 csv files, one for each of the three temperatures in our trials. Temp 12.csv, Temp 16.csv, Temp 20.csv. Each file has a summary of recorded temps in Celcius for the 12 trials that were run at the temperature associated with the file name. There are only two columns in each file: Date_Time, and Temp. The “Date_Time” column shows the date and time the temperature was recorded. The “Temp” column shows the temperature that was recorded in degress celcius. Water Quality data: This data consists of a single csv file summary of the water quality collected during each trial. There are 11 columns in the file: Velocity: Target velocity of the trial Temperature: Target temp of the trial Replicate: rep (1-4) of each trial pre post: whether or not the data was collected at the beginning (pre) or end (post) of each trial pH: the measured pH Alk: the measured alkalinity (mg/L CaCO3) Hardness: the measured hardness (mg/L CaCO3) Flow 1: There were two flow measurements taken before each trial and two flows taken at the end of each trial. This represents the first one taken and is in L/min. Flow 2: This represents the second flow reading taken in L/min. Depth: the depth of the water column in mm Velocity: the calculated velocity of the stream in meters per second