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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...
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Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date collected, river from which each fish was collected, location of sampling, fish fork length in millimeters, girth in millimeters, weight in kilograms, and personnel involved with image collection. Biometric data are saved as .csv comma delimited format and image files are saved as .png file type.


    map background search result map search result map Image and biometric data for fish from Great Lakes tributaries collected during spring 2019 Image and biometric data for fish from Great Lakes tributaries collected during spring 2019