These files provide an improved version of the global dataset of spatially-dependent extreme sea levels (Li et al. 2023), and can be used to assess coastal flood risk considering realistic spatial dependence structure in any coastal regions around the globe. We made improvements by: Estimating inter-cluster dependence by considering cluster connectivity; Calculating the year information for generated sythetic events. More details on the new dataset can be found in Li et al. (2024) of which a preprint doi will be provided soon. If you plan to use it or have used it, feel free to contact me and please cite our 2024 paper. References: Li, H., Haer, T., Couasnon, A., Enríquez, A. R., Muis, S., & Ward, P. J. (2023). A spatially-dependent synthetic global dataset of extreme sea level events. Weather and Climate Extremes, 41, 100596. https://doi.org/10.1016/j.wace.2023.100596 Li, H., Eilander, D., Ward, P. J., & Haer, T. (2024). Improving global-scale coastal risk estimates by considering spatial dependence. Submitted. Preprint: 10.22541/essoar.172641608.83190937/v1.