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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...
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Data are from water samples collected from tributaries of the Great Lakes at three different drainage basin scales, including 1). watershed scale: 8 tributaries of the Great Lakes, 2). subwatershed scale: 5 locations from the greater Milwaukee, Wisconsin area, and 3). small scale: 213 storm sewers and open channel locations in three subwatersheds within the Great Lakes Basin including the Middle Branch of the Clinton River in Macomb County, Michigan (65 sample locations), Red Creek in Monroe County, New York (88 sample locations), and the Kinnickinnic River in Milwaukee County, Wisconsin (60 sample locations). At the watershed- and subwatershed-scale locations, water samples were collected over a 24-hour duration...
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This dataset consists of select contaminants of emerging concern (CEC) including pesticides and transformation products, pharmaceuticals and transformation products, and wastewater indicator compound results measured in 131 surface water, 129 bottom sediment, 7 field replicate, and 6 field blank samples collected from 131 sites located on 27 tributaries of the Great Lakes during the summer of 2019. Samples were analyzed at the U.S. Geological Survey National Water Quality Laboratory (NWQL). Surface water samples were collected and analyzed for 238 pesticides, pesticide transformation products, and surrogate compounds (NWQL laboratory schedule 2437; Sandstrom and others, 2015), 152 pharmaceuticals, pharmaceutical...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Au Gres River, Buffalo River, Cattaraugus River, Chippewa River, East Twin River, All tags...
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This dataset includes per-and polyfluoroalkyl substances (PFAS) and pharmaceuticals monitored at 62 sampling sites in tributaries of the Laurentian Great Lakes. Chemicals were evaluated in a sediment sample (PFAS only) and water concentrations were estimated using polar organic chemical integrative samplers (POCIS). Sediment samples were collected from the 62 sites in June and July 2018, which were analyzed for 23 PFAS compounds using liquid chromatography tandem mass spectrometry (LC/MS/MS). Duplicate sediment samples were collected at 23 sites. Overall, 22 of the 23 sediment PFAS compounds analyzed were detected in samples from at least one site. Pharmaceuticals and PFAS samples were collected instream by deploying...
This data set is a compilation of data from two sampling efforts (2010 and 2014), focused on determining the presence and distribution of organic contaminants throughout the United States portion of the Great Lakes watershed. Water-borne contaminants were monitored in 69 tributaries of the Great Lakes using semipermeable membrane devices (SPMDs), and polar organic chemical integrative samplers (POCIS). Analyses included 185 chemicals (143 detected) including polycyclic aromatic hydrocarbons (PAHs), legacy and current-use pesticides, polychlorinated biphenyls (PCBs), polybrominated diphenyl ether (PBDE) and organophosphate fire retardants, pharmaceuticals, fragrances, industrial chemicals, surfactants, and others.
Tags: Ashtabula River, Au Sable River, Bad River, Black River, Buffalo River, All tags...
Legacy and emerging contaminants were measured in streams and rivers in the District of Columbia and the states of Maryland, Pennsylvania, Virginia, and West Virginia of the Chesapeake Bay watershed between 2005 and 2013. Passive sampling devices, SPMDs and POCIS, were used to sample these waterbodies, providing a time-integrated concentration of contaminants that are potentially bioavailable to native fishes. This data set is a compilation of data from eight separate studies, all focused on determining the potential exposure of organic chemicals to fish which may be responsible for instances of fish kills and intersex that were observed in these waterbodies.


    map background search result map search result map Optical signals of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water of Great Lake tributaries from 2011 to 2016 Legacy and emerging contaminants in the Chesapeake Bay watershed as measured using passive samplers - 2005 to 2013 Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016 Pesticides, pharmaceuticals, and wastewater indicator compounds in water and bottom sediment samples collected from Great Lake tributaries, 2019 Per- and polyfluoroalkyl substances (PFAS) and pharmaceutical compound data from passive and sediment samples from 62 Great Lakes tributary sites collected in 2018 Legacy and emerging contaminants in the Chesapeake Bay watershed as measured using passive samplers - 2005 to 2013 Pesticides, pharmaceuticals, and wastewater indicator compounds in water and bottom sediment samples collected from Great Lake tributaries, 2019 Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016 Optical signals of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water of Great Lake tributaries from 2011 to 2016 Per- and polyfluoroalkyl substances (PFAS) and pharmaceutical compound data from passive and sediment samples from 62 Great Lakes tributary sites collected in 2018