Adaptive efforts to achieve water quality objectives by modifying nutrient loading can have attendant impacts on fish habitats and fisheries. Thus, coordinating fishery and water quality management depends on knowledge of fish behavioral responses to habitat change. This data set aims to reduce these knowledge gaps by combining acoustic telemetry detections of a native demersal fish, lake whitefish (Coregonus clupeaformis), along with forecasted abiotic water quality parameters (e.g., temperature and dissolved oxygen) throughout Lake Erie during periods of seasonal hypoxia. Lake whitefish were tagged throughout 2015-2017. Detection locations of tagged lake whitefish were recorded throughout 2017-2018, using the Great Lakes Acoustic Telemetry Observation System (GLATOS), with receivers maintained annually (receiver data ranging from 2015 to 2021). Abiotic environmental parameters (e.g., temperature and dissolved oxygen) were calculated for each lake whitefish detection using the National Oceanic and Atmospheric Administration (NOAA) Great Lakes Environmental Research Laboratory (GLERL) Experimental Lake Erie Hypoxia forecasting model.