To better understand the transport of neonicotinoid insecticides into the Great Lakes, monthly samples (October 2015-September 2016) were collected from 10 tributaries to the Great Lakes, USA. At least one neonicotinoid was detected in 74% of the monthly samples with up to three neonicotinoids detected in an individual sample (10% of all samples). The most frequently detected neonicotinoid was imidacloprid (53%) followed by clothianidin (44%), thiamethoxam (22%), acetamiprid (2%), and dinotefuran (1%). Thiacloprid was not detected in any samples. More spatially intensive samples from were collected in an agriculturally dominated area (Maumee River, Ohio) twice during spring 2016. Three neonicotinoids were ubiquitously detected (clothiandin, imidacloprid, thiamethoxam) in all water samples collected within this basin. This dataset is associated with the following publication: Hladik, M., S. Corsi, D. Kolpin, A. Baldwin, B. Blackwell, and J. Cavallin. Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 235: 102-1029, (2018).

Neonicotinoids, a widely used class of insecticide, have been found in surface waters globally. They pose a risk to non-target species found in aquatic environments such as aquatic macroinvertebrates. To better understand the effects of the neonicotinoids imidacloprid, clothianidin and their mixtures on aquatic communities we ran a 30 day mesocosm test. Rock trays were colonized with natural benthic communities in the Cache La Poudre River, located in the mountains of Northern Colorado, and relocated to a laboratory experimental stream setting. In total there were 33 experimental streams: 3 controls and 30 treatments consisting of both single compound and binary compound exposures with 5 treatment levels for each exposure series. Water quality and chemistry samples were collected throughout the experiment. Larval invertebrates remaining in each experimental stream at the end of the experiment were collected, enumerated and identified to the lowest taxonomic unit practical, typically genus or species. Emergent insects were collected each day of the experiment and identified to lowest taxonomic unit. Chlorophyll a was measured in each experimental stream 3 times throughout the 30 day experiment.

Data files for "Oliver, S.K., Corsi, S.R., Baldwin, A.K., Nott, M.A., Ankley, G.T., Blackwell, B.R., Villeneuve, D.L., Hladik, M.L., Kolpin, D.W., Loken, L., DeCicco, L.A., Meyer, M.T. and Loftin, K.A. (2023), Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes. Environ Toxicol Chem, 42: 367-384. https://doi.org/10.1002/etc.5522". This dataset is associated with the following publication: Oliver, S., S. Corsi, A. Baldwin, M. Nott, G. Ankley, B. Blackwell, D. Villeneuve, M. Hladik, D. Kolpin, L. Loken, L. DeCicco, M. Meyer, and K. Loftin. Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(2): 367-384, (2023).

Data files for "Oliver, S.K., Corsi, S.R., Baldwin, A.K., Nott, M.A., Ankley, G.T., Blackwell, B.R., Villeneuve, D.L., Hladik, M.L., Kolpin, D.W., Loken, L., DeCicco, L.A., Meyer, M.T. and Loftin, K.A. (2023), Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes. Environ Toxicol Chem, 42: 367-384. https://doi.org/10.1002/etc.5522". This dataset is associated with the following publication: Oliver, S., S. Corsi, A. Baldwin, M. Nott, G. Ankley, B. Blackwell, D. Villeneuve, M. Hladik, D. Kolpin, L. Loken, L. DeCicco, M. Meyer, and K. Loftin. Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(2): 367-384, (2023).

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,

This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95 chemicals. The data support the findings in the associated journal article (https://doi.org/TBD).

This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95 chemicals. The data support the findings in the associated journal article (https://doi.org/TBD).

A study designed to measure concentrations of glyphosate, aminomethylphosphonic acid (AMPA, a product of glyphosate degradation in the environment), and several neonicotinoids in selected urban and agricultural streams located in the Lake Champlain Basin of Vermont was conducted in the spring, summer, and fall of 2021. These pesticides are of concern due to their widespread use (Baker, 2018) and potentially adverse ecological and human-health effects (Hladik and others, 2018; Medalie and others, 2020). Water samples were collected from Rock River near Highgate Center, Vt; Stevens Brook near St. Albans, Vt; Englesby Brook in Burlington, Vt; Potash Brook in Burlington, Vt; and the City of Burlington, Vt wastewater treatment plant (Burlington WWTP). Jewett Brook near St. Albans, Vt also was selected as a sampling site but was dry during the extent of the sampling period. Based on the 2019 National Land Cover Database (Dewitz, 2021) the watersheds of Englesby Brook and Potash Brook are predominantly urban, those of Rock River and Jewett Brook are predominantly agricultural, and that of Stevens Brook is more equally split between urban and agricultural, or "mixed." The study was designed, in part, to target high-flow events during the agricultural growing season, but the study region (Chittenden and Franklin County, Vermont) experienced "abnormally dry" to "moderate drought" conditions (National Drought Mitigation Center, University of Nebraska-Lincoln, 2022). As a result, samples were more representative of low-flow conditions. All data, including quality-control results, are in table “VT_GLYPH1_RESULTS.txt.” Metadata for the table can be found in “VT_GLYPH1_RESULTS.xml.” A detailed description of each column in the results table is given in the separate data dictionary “VT_GLYPH1_DataDictionary.txt.” Environmental data are also available for download from the National Water Information System (NWIS) at https://nwis.waterdata.usgs.gov/usa/nwis/qwdata. References Baker, N.T., 2018, Estimated annual agricultural pesticide use by major crop or crop group for states of the conterminous United States, 1992–2016: U.S. Geological Survey data release, https://doi.org/10.5066/F7NP22KM. Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2019 Products (ver. 2.0., June 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9KZCM54. Hladik, M. L., Main, A.R., and Goulson, D., 2018, Environmental risks and challenges associated with neonicotinoid insecticides: Environmental Science and Technology 52, pp3329-3335. DOI: 10.1021/acs.est.7b06388. Medalie , L., Baker, N.T., Shoda, M.E., Stone, W.W., Meyer, M.T., Stets, E.G., and Wilson, M., 2020, Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA: Science of the Total Environment 707, pp. 136008. DOI: https://doi.org/10.1016/j.scitotenv.2019.136008. National Drought Mitigation Center, University of Nebraska-Lincoln, 2022, Percent Area in U.S. Drought Monitor Categories, accessed May 27, 2022, https://droughtmonitor.unl.edu/DmData/DataTables.aspx