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).

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).

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 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).

Water-borne contaminants were monitored in 69 tributaries of the Laurentian Great Lakes in 2010 and 2014 using semipermeable membrane devices (SPMDs), and polar organic chemical integrative samplers (POCIS). Analyses included 185 chemicals (143 detected) including PAHs, legacy and current-use pesticides, fire retardants, pharmaceuticals, fragrances, and others. Hazard quotients were calculated by dividing detected concentrations by biological effect concentrations reported in the ECOTOX Knowledgebase (Toxicity quotients, TQs) or ToxCast database (Exposure Activity Ratios, EARs). This dataset is associated with the following publication: Alvarez, D., S. Corsi, L. De Cicco, D. Villeneuve, and A. Baldwin. Identifying chemicals and mixtures of potential biological concern detected in passive samplers from Great Lakes tributaries using high-throughput data and biological pathways. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA,

Water-borne contaminants were monitored in 69 tributaries of the Laurentian Great Lakes in 2010 and 2014 using semipermeable membrane devices (SPMDs), and polar organic chemical integrative samplers (POCIS). Analyses included 185 chemicals (143 detected) including PAHs, legacy and current-use pesticides, fire retardants, pharmaceuticals, fragrances, and others. Hazard quotients were calculated by dividing detected concentrations by biological effect concentrations reported in the ECOTOX Knowledgebase (Toxicity quotients, TQs) or ToxCast database (Exposure Activity Ratios, EARs). This dataset is associated with the following publication: Alvarez, D., S. Corsi, L. De Cicco, D. Villeneuve, and A. Baldwin. Identifying chemicals and mixtures of potential biological concern detected in passive samplers from Great Lakes tributaries using high-throughput data and biological pathways. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA,

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.

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.

The present study highlights the utility of bioeffects-based monitoring in conjunction with analytical chemical measurements of surface waters on the Colorado River associated with a historically bioactive wastewater treatment plant effluent. Concurrent with chemical monitoring and in vitro bioactivity measurements, in situ caged fish systems were employed to evaluate the potential bioavailability of predicted biologically-active contaminants associated with ER, GR, and PPAR-associated activities. The present study compares the effects of a wastewater treatment plant facility upgrade on bioactive contaminant loading. This dataset is associated with the following publication: Cavallin, J., W. Battaglin, J. Beihoffer, B. Blackwell, P. Bradley, A. Cole, D. Ekman, R. Hofer, J. Kinsey, K. Keteles, D. Winkelman, and D. Villeneuve. Effects-Based Monitoring of Bioactive Chemicals Discharged to the Colorado River Before and After a Municipal Wastewater Treatment Plant Replacement. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(2): 974-984, (2021).