Prioritization of chemicals was performed on two Areas of Concerns in the Great Lakes An integrated risk surveillance and monitoring approach was applied Bio-effect prediction methodologies were used to identify additional biological pathways. Environmental assessment of complex mixtures typically requires integration of chemical and biological measurements. This study demonstrates the use of a combination of instrumental chemical analyses, effects-based monitoring, and bio-effects prediction approaches to help identify potential hazards and priority contaminants in two Great Lakes Areas of Concern (AOCs), the Lower Green Bay/Fox River located near Green Bay, WI, USA and the Milwaukee Estuary, located near Milwaukee, WI, USA. Fathead minnows were caged at four sites within each AOC (eight sites total). Following 4 d of in situ exposure, tissues and biofluids were sampled and used for targeted biological effects analyses. Additionally, 4 d composite water samples were collected concurrently at each caged fish site and analyzed for 132 analytes as well as evaluated for total estrogenic and androgenic activity using cell-based bioassays. Of the analytes examined, 75 were detected in composite samples from at least one site. Based on multiple analyses, one site in the East River and another site near a paper mill discharge in the Lower Green Bay/Fox River AOC, were prioritized due to their estrogenic and androgenic activity, respectively. The water samples from other sites generally did not exhibit significant estrogenic or androgenic activity, nor was there evidence for endocrine disruption in the fish exposed at these sites as indicated by the lack of alterations in ex vivo steroid production, circulating steroid concentrations, or vitellogenin mRNA expression in males. Induction of hepatic cyp1a mRNA expression was detected at several sites, suggesting the presence of chemicals that activate the Ah receptor. To expand the scope beyond targeted investigation of endpoints selected a priori, several bio-effects prediction approaches were employed to identify other potentially disturbed biological pathways and related chemical constituents that may warrant future monitoring at these sites. For example, several chemicals such as diethylphthalate and naphthalene , and genes and related pathways, such as cholinergic receptor muscarinic 3 (CHRM3), estrogen receptor alpha1 (esr1), chemokine ligand 10 protein (CXCL10), tumor protein p53 (p53), and monoamine oxidase B (Maob), were identified as candidates for future assessments at these AOCs. Overall, this study demonstrates that a better prioritization of contaminants and associated hazards can be achieved through integrated evaluation of multiple lines of evidence. Such prioritization can guide more comprehensive follow-up risk assessment efforts. This dataset is associated with the following publication: Li, S., D. Villeneuve, J. Berninger, B. Blackwell, J. Cavallin, M. Hughes, K. Jensen, Z. Jorgenson, M. Kahl, A. Schroeder, K. Stevens, L. Thomas, M. Weberg, and G. Ankley. An integrated approach for identifying priority contaminant in the Great Lakes Basin -Investigations in the Lower Green Bay/Fox River and Milwaukee Estuary areas of concern. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 579: 825-837, (2017).

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,

Anthropogenic activities including industrialization, urbanization, and agriculture have resulted in frequent detection of contaminants of emerging concern (CECs) across Great Lakes tributaries. Thus, there is a need to identify CECs of high and low ecotoxicological concern to help focus risk assessment and regulatory efforts. Here we present a weight-of-evidence framework developed to prioritize organic contaminants detected within the Milwaukee Estuary Area of Concern (AOC) (Milwaukee, WI). Chemical prioritization was carried out using experimental data (in vivo, in vitro, and analytical data) generated in 2017 -2018 Milwaukee AOC caged-fish studies, and chemical-specific data collated from US EPA databases (CompTox Chemicals Dashboard, ECOTOXicology Knowledgebase, ToxCast database) and/or estimated using quantitative structure-activity relationships. Overall prioritization was based on multiple lines of evidence: Detection Characteristics (spatial frequency, temporal frequency, environmental distribution), Environmental Fate (persistence, bioaccumulation, biomagnification), Ecotoxicological Potential (exceedence of water quality, in vivo, and in vitro toxicity benchmarks), and Effect Covariance (covariance with effects in caged fish studies). Results indicated within the Milwaukee Estuary AOC, 19/83 CECs were high priority, 13/83 were low priority, and 19/83 were data limited, requiring further investigation for prioritization efforts. Overall, this study presents an effect-based weight-of-evidence strategy that can be employed for CEC prioritization, and highlights several chemicals of ecotoxicological interest within the Milwaukee Estuary AOC. This dataset is associated with the following publication: Maloney, E., D. Villeneuve, B. Blackwell, K. Vitense, S. Corsi, M. Pronschinske, K. Jensen, and G. Ankley. A framework for prioritizing contaminants in retrospective ecological assessments: Application in the Milwaukee Estuary (Milwaukee, WI). Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 19(5): 1276-96, (2023).

Anthropogenic activities including industrialization, urbanization, and agriculture have resulted in frequent detection of contaminants of emerging concern (CECs) across Great Lakes tributaries. Thus, there is a need to identify CECs of high and low ecotoxicological concern to help focus risk assessment and regulatory efforts. Here we present a weight-of-evidence framework developed to prioritize organic contaminants detected within the Milwaukee Estuary Area of Concern (AOC) (Milwaukee, WI). Chemical prioritization was carried out using experimental data (in vivo, in vitro, and analytical data) generated in 2017 -2018 Milwaukee AOC caged-fish studies, and chemical-specific data collated from US EPA databases (CompTox Chemicals Dashboard, ECOTOXicology Knowledgebase, ToxCast database) and/or estimated using quantitative structure-activity relationships. Overall prioritization was based on multiple lines of evidence: Detection Characteristics (spatial frequency, temporal frequency, environmental distribution), Environmental Fate (persistence, bioaccumulation, biomagnification), Ecotoxicological Potential (exceedence of water quality, in vivo, and in vitro toxicity benchmarks), and Effect Covariance (covariance with effects in caged fish studies). Results indicated within the Milwaukee Estuary AOC, 19/83 CECs were high priority, 13/83 were low priority, and 19/83 were data limited, requiring further investigation for prioritization efforts. Overall, this study presents an effect-based weight-of-evidence strategy that can be employed for CEC prioritization, and highlights several chemicals of ecotoxicological interest within the Milwaukee Estuary AOC. This dataset is associated with the following publication: Maloney, E., D. Villeneuve, B. Blackwell, K. Vitense, S. Corsi, M. Pronschinske, K. Jensen, and G. Ankley. A framework for prioritizing contaminants in retrospective ecological assessments: Application in the Milwaukee Estuary (Milwaukee, WI). Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 19(5): 1276-96, (2023).

Supporting data for "A chemical prioritization process: Applications to contaminants of emerging concern in freshwater ecosystems (Phase 1)". These data describe contaminants of emerging concern (CECs) detected in subsistence fish species and freshwater ecosystems on the Grand Portage Indian Reservation and adjacent 1854 Ceded Territory in Northeastern Minnesota, USA. They also contain chemical-specific information, including acute toxicity, endocrine activity, physicochemical properties, and frequency of occurrence data used to prioritize detected CECs based on their potential environmental hazard. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Supporting data for "A chemical prioritization process: Applications to contaminants of emerging concern in freshwater ecosystems (Phase 1)". These data describe contaminants of emerging concern (CECs) detected in subsistence fish species and freshwater ecosystems on the Grand Portage Indian Reservation and adjacent 1854 Ceded Territory in Northeastern Minnesota, USA. They also contain chemical-specific information, including acute toxicity, endocrine activity, physicochemical properties, and frequency of occurrence data used to prioritize detected CECs based on their potential environmental hazard. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Dataset for "Pronschinske, M.A., Corsi, S.R., DeCicco, L.A., Furlong, E.T., Ankley, G.T., Blackwell, B.R., Villeneuve, D.L., Lenaker, P.L. and Nott, M.A. (2022), Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques. Environ Toxicol Chem, 41: 2221-2239. https://doi.org/10.1002/etc.5403". This dataset is associated with the following publication: Pronschinske, M., S. Corsi, L. DeCicco, E. Furlong, G. Ankley, B. Blackwell, D. Villeneuve, P. Lenaker, and M. Nott. Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques.. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(9): 2221-2239, (2022).

Dataset for "Pronschinske, M.A., Corsi, S.R., DeCicco, L.A., Furlong, E.T., Ankley, G.T., Blackwell, B.R., Villeneuve, D.L., Lenaker, P.L. and Nott, M.A. (2022), Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques. Environ Toxicol Chem, 41: 2221-2239. https://doi.org/10.1002/etc.5403". This dataset is associated with the following publication: Pronschinske, M., S. Corsi, L. DeCicco, E. Furlong, G. Ankley, B. Blackwell, D. Villeneuve, P. Lenaker, and M. Nott. Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques.. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(9): 2221-2239, (2022).

This data release contains concentration and hazard score data for 16 contaminants of emerging concern (CECs) collected from surface waters throughout the Great Lakes basin. Concentration data were compiled from various online, published, or internal sources. Original data represent work conducted by federal, state, and local entities over a span of 30 years (1991 - 2021). Hazard scores for specific CECs were determined by comparing measured environmental concentrations against effect category-specific screening values. These data are supplemental information for the associated journal paper.