The presented dataset is composed of a series of physico-chemical data produced from automated data loggers, vertical in situ profiles and laboratory chemical analysis acquired during an aquatic mesocosm project simulating turbid storms by inducing light reduction. The PARLAC experiment consisted of nine inland mesocosms (2.1 m length, 2.1 m width and 1.1 m depth, total volume about 4000 L) located at the OLA (“Long-term observation and experimentation for lake ecosystems”) facility at the UMR CARRTEL in Thonon les Bains, on the French shore of Lake Geneva. The experimental tanks were filled with water directly supplied from the lake at 4m depth. The experiment lasted 3 weeks (5-23 September 2022) and aimed to simulate predicted climate scenarios (i.e. extreme events such as turbid storms) and assess the response of planktonic communities’ species composition, ecosystem functioning and resilience. The experimental design included three treatments, each replicated three times: a control treatment (no treatment applied) and two treatments simulating two different intensity of light reduction. In the Medium treatment transmitted light was reduced to 70% and in the High treatment transmitted light was reduced to 15%. The dataset is composed of: 1. In situ measurements from automated data loggers of temperature, conductivity, dissolved oxygen and CO2 acquired every 5 minutes at 0.5 m depth for the entire period of the experiment. 2. In situ profiles (0-1 m) of temperature, conductivity, pH, dissolved oxygen (concentration and saturation) acquired twice a week during the experiment. 3. In situ measurements of light spectral UV/VIS/IR irradiance (300-950 nm wavelength range) taken in the air and at 0, 0.5 and 1 m twice a week on the same day of the profiles at point 2. 4. Laboratory chemical analysis of conductivity, pH, total alkalinity, NO3, total nitrogen (Ntot), PO4, total and particulate phosphorus (Ptot, Ppart), total organic carbon (TOC), Ca, K, Mg, Na, Cl, SO4 and SiO2 of integrated samples taken twice a week on the same day of the in situ profiles at point 2 and 3. 5. Laboratory analysis of pigments (Chla, Chlc, carotenoids, phaeopigments) extracted from samples collected at point 5. This dataset aims to contribute our understanding of the effect of extreme climate events on lake ecosystem processes (such as production, respiration, nutrient uptake and pigment composition).