In this study, we identified the mechanism(s) responsible for the intensification of eutrophication-like symptoms in Lake Wilcox, using statistical analysis (Principal Component Analysis (PCA) and Multiple Linear Regression (MLR)) of water chemistry timeseries. The dataset contains changes in nutrient concentrations in Lake Wilcox; changes in ratios between phosphorus (P) species and P and nitrogen (N) species; changes in the Brunt-Väisälä frequency (which represents the amount of work required against gravity to break down thermal stratification in the water column); and the results of the PCA and MLR statistical analyses. The methods used to derive this dataset and the interpretation of the dataset are reported in the paper "Salinization as a driver of eutrophication symptoms in an urban lake (Lake Wilcox, Ontario, Canada)" from authors Jovana Radosavljevic, Stephanie Slowinski, Mahyar Shafii, Zahra Akbarzadeh, Fereidoun Rezanezhad, Chris Parsons, William Withers, and Philippe Van Cappellen.