All primary data reported in this paper were generated by non-federal collaborators from the University of Michigan and McGill University. US EPA-ORD personnel collected and supplied water, sediment, and fish tissue samples used in these analyses and contributed to development of the manuscript, however, no data were directly generated by US EPA personnel. This dataset is not publicly accessible because: No EPA data (see comments). It can be accessed through the following means: Data set can be obtained upon request from the corresponding author. Format: n/a. This dataset is associated with the following publication: Arini, A., J. Cavallin , J. Berninger, R. Marfil-Vega, M. Mills , D. Villeneuve , and N. Basu. In vivo and in vitro neurochemical-based assessments of wastewater effluents from the Maumee River area of concern.. SOCIETY OF ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY JOURNAL. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 211: 9-19, (2016).

The Maumee River and associated tributaries are an example of a system influenced by a mosaic of contaminant inputs from point and nonpoint sources along a gradient of land uses. To assess the potential effects of contaminants on aquatic biota in a system this complex requires a combination of targeted and nontargeted analytical and biological monitoring techniques to provide data that can be assembled and interpreted in an integrated manner. The aim of the current paper was to provide a practical demonstration of this type of approach using a variety of state-of-the-science pathway-based tools. Studies conducted in 2012 and 2106 showed that contaminants in the upper part of the Maumee River reflect agricultural practices, while downstream, the suite of chemicals present includes those from agriculture in conjunction with contaminants more indicative of a general urban setting, influenced in some areas by WWTP inputs. Biological responses using in vitro assays with surface water samples, and measures of biological responses in caged fish deployed a various sites in the Maumee River were used to assess the potential for perturbation of specific biological pathways. Overall there was little evidence for contaminant effects on endocrine pathways involved is reproduction or development. However, multiple lines of evidence suggested the presence of contaminants that could inhibit or induce cytochrome P450-based enzymes thereby influencing biological pathways/processes associated with these ubiquitous proteins. This dataset is associated with the following publication: Ankley, G., J. Berninger, B. Blackwell, J. Cavallin, T. Collette, D. Ekman, K. Fay, D. Feifarek, K. Jensen, M. Kahl, J. Mosley, S. Poole, E. Randolph, D. Rearick, A. Schroeder, J. Swintek, and D. Villeneuve. Pathway-based approaches for assessing biological hazards of complex mixtures of contaminants: A case study in the Maumee River. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(4): 1098–1122, (2021).

The Maumee River and associated tributaries are an example of a system influenced by a mosaic of contaminant inputs from point and nonpoint sources along a gradient of land uses. To assess the potential effects of contaminants on aquatic biota in a system this complex requires a combination of targeted and nontargeted analytical and biological monitoring techniques to provide data that can be assembled and interpreted in an integrated manner. The aim of the current paper was to provide a practical demonstration of this type of approach using a variety of state-of-the-science pathway-based tools. Studies conducted in 2012 and 2106 showed that contaminants in the upper part of the Maumee River reflect agricultural practices, while downstream, the suite of chemicals present includes those from agriculture in conjunction with contaminants more indicative of a general urban setting, influenced in some areas by WWTP inputs. Biological responses using in vitro assays with surface water samples, and measures of biological responses in caged fish deployed a various sites in the Maumee River were used to assess the potential for perturbation of specific biological pathways. Overall there was little evidence for contaminant effects on endocrine pathways involved is reproduction or development. However, multiple lines of evidence suggested the presence of contaminants that could inhibit or induce cytochrome P450-based enzymes thereby influencing biological pathways/processes associated with these ubiquitous proteins. This dataset is associated with the following publication: Ankley, G., J. Berninger, B. Blackwell, J. Cavallin, T. Collette, D. Ekman, K. Fay, D. Feifarek, K. Jensen, M. Kahl, J. Mosley, S. Poole, E. Randolph, D. Rearick, A. Schroeder, J. Swintek, and D. Villeneuve. Pathway-based approaches for assessing biological hazards of complex mixtures of contaminants: A case study in the Maumee River. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(4): 1098–1122, (2021).

Data are from biological and physical environmental assessments conducted during 2019 in the Maumee River, Ohio. Sites were located from river kilometer 24 to 11. Water quality parameters, fishes, invertebrates, and river channel characteristics were assessed during 2019 from May-September. Previously established standardized sampling methods were used during all assessments.

In vitro biological activity data from a extracts of a nationwide survey of US streams. This dataset is associated with the following publication: Blackwell, B., G. Ankley, P. Bradley, K. Houck, S.S. Makarov, A. Medvedev, J. Swintek, and D. Villeneuve. Potential toxicity of complex mixtures in surface waters from a nationwide survey of United States streams: Identifying in vitro bioactivities and causative chemicals. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(2): 973-983, (2019).

In vitro biological activity data from a extracts of a nationwide survey of US streams. This dataset is associated with the following publication: Blackwell, B., G. Ankley, P. Bradley, K. Houck, S.S. Makarov, A. Medvedev, J. Swintek, and D. Villeneuve. Potential toxicity of complex mixtures in surface waters from a nationwide survey of United States streams: Identifying in vitro bioactivities and causative chemicals. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(2): 973-983, (2019).

These data were collected to examine water mixing in the lower Maumee River to determine the extent to which water from Lake Erie backflows into the river, and under what conditions this occurs. We used a combination of fixed hydrologic gauges; water chemistry including stable isotopes and conservative tracers; and direct physical measurements to estimate the percentages of lake and river water at both fixed sites and transects. Those results were compared with concurrent flows and estimates of seiche activity. Data suggest that during 2013 mixing did occur, but was confined to the lowest river reach within the city limits of Toledo, Ohio. This tabular data set could be used for any questions involving large river water chemistry or physical processes. It includes boron and magnesium measurements, isotope data, sonde transect data, and sonde vertical profile data.

The datafile contains data associated with analytical chemistry, fish gene expression, in vitro bioassays, chemical prioritization, and Attagene data for surface water monitoring and caged fish studies on the South Platte River (Colorado, USA) in 2018 and 2019. This dataset is associated with the following publication: Cavallin, J., J. Beihoffer, B. Blackwell, A. Cole, D. Ekman, R. Hofer, A. Jastrow, J. Kinsey, K. Keteles, E. Maloney, J. Parman, D. Winkelman, and D. Villeneuve. Effects-based monitoring of bioactive compounds associated with municipal wastewater treatment plant effluent discharge to the South Platte River, Colorado, USA. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 289: 117928, (2021).

The datafile contains data associated with analytical chemistry, fish gene expression, in vitro bioassays, chemical prioritization, and Attagene data for surface water monitoring and caged fish studies on the South Platte River (Colorado, USA) in 2018 and 2019. This dataset is associated with the following publication: Cavallin, J., J. Beihoffer, B. Blackwell, A. Cole, D. Ekman, R. Hofer, A. Jastrow, J. Kinsey, K. Keteles, E. Maloney, J. Parman, D. Winkelman, and D. Villeneuve. Effects-based monitoring of bioactive compounds associated with municipal wastewater treatment plant effluent discharge to the South Platte River, Colorado, USA. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 289: 117928, (2021).

This dataset consists of trace organic contaminant concentrations and bacteria counts in wastewater effluents, and observed responses in fish exposed to effluents. The study was conducted from April to September 2022 at a facility located in Hutchinson, Minnesota. Nine pairs of primary-treated, activated sludge secondary treated, and membrane bioreactor secondary treated wastewater were characterized for select trace organic contaminants (pharmaceuticals, pesticides and pesticide degradates, hormones, alkylphenols, and bisphenols) and bacterial (total coliform, Escherichia coli) counts. Two 21-day exposures were conducted on-site in which fathead minnows were exposed to activated sludge secondary treated effluent and membrane bioreactor secondary treated effluent. Effluent samples were collected once per month in April, August, and September, and once weekly during the on-site exposures.