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Description: The spatiotemporal Surface Heat Flux (SurHF) distribution over Lake Geneva, the largest lake in Western Europe, was estimated for a 7-y period (2008-2014). Data sources used in this study include hourly maps of over-the-lake assimilated meteorological data provided by the “Swiss Federal Office of Meteorology and Climatology (MeteoSwiss)”, Lake Surface Water Temperatures (LSWT) from satellite imagery from the “Oeschger Centre for Climate Change Research at University of Bern” (https://doi.org/10.5194/essd-7-1-2015), eddy covariance measurements of turbulent heat fluxes supplied by Nikki Vercauteren (https://doi.org/10.1029/2008wr007544), and in situ temperature measurements by “Ecological Engineering laboratory (ECOL), EPFL”, “Commission International pour la Protection des Eaux du Léman (CIPEL)”, and “Eco-Informatics ORE INRA Team at French National Institute for Agricultural Research (SOERE OLA-IS, INRA)”. The main inputs and outputs of this study including: (i) the mean monthly spatial patterns of wind speed (U10; m/s), LSWT (Tw; °C), air-water temperature difference (deltaT; °C), atmospheric stability parameter (ABL_stability), and net surface heat flux (QN; W/m2), (ii) time series of median and percentiles (1, 25, 75 and 99%) of lake-wide meteorological parameters and surface heat flux components for 2008-2014 period (smoothed with a 30-d running mean window), (iii) annual time series of median and percentiles (1, 25, 75 and 99%) of atmospheric stability parameter and net surface heat flux averaged over 2008-2014 and smoothed with a 30-d running mean window, (iv) heat content variation at four locations over the lake for 1986-1995 period, and (v) the eddy covariance measurements of turbulent heat fluxes during August-October 2006, can be found here. A set of bulk algorithms, optimized and calibrated previously at two locations in Lake Geneva, was used to estimate SurHF components (https://doi.org/10.1002/lom3.10267).