The dataset presents quantification of fluvial flood risk of company assets by integrating flood hazard scenarios with flexible state-of-the-art Bayesian Network-based flood loss model and object-specific exposure data. The dataset consists of spatially explicit loss in terms of Expected Annual Damage (EAD) of companies (commercial and industrial sectors) for each NUTS3 region corresponding to a baseline and potential future scenarios shaped by climate change, exposure dynamics, and their combined effects. Additionally, the dataset includes simulation results under an intervention scenario "measures for all" where each company has atleast implemented one of the possible precautionary measures against flooding. In addition to the NUTS3-level EAD values, the dataset also includes loss estimates for each tile corresponding to the baseline (1995) scenario. More information on input variables, usage and calculation of EAD can be found in Devadas et al. (2025) [DOI will be updated after publication].

The folder contains the simulation results for all possible combinations of future years, precautionary measures, quantile and sectors. The filename for each unique combination is coded as “EAD_[precautionary measure][year][climate or exposure condition with quantile]m[quantile of model][sector].csv” for Expected Annual Damages (EAD) and “LV_rp[return_period]SQ_1995_baseline_m[quantile of model][sector].csv” for baseline loss values at the grid-level.