Dataset_and_multivariate_model_uncertainty

Dataset_1: video-derived shoreline change and AWAC wave forcing. Dataset_2: Satellite-derived shoreline change and hindcast wave forcing. Input_dataset: Definition of wave extreme events at Cala Millor beach. Variables per column: Hs (m), Tp (s), Di (º), Cumulate Wave energy (W/m), Initial width of the beach (m), Duration of the storm (d) and Storm recurrence (d). Result of shoreline change (m), last column. Each sheet shows the extreme events for each quantile used to define the threshold of the wave power time series. Output: Multivariate model uncertainty: Results of the multivariable linear regression performed for each quantile threshold used to define extreme wave events ((Q90)--(Q99)). Each sheet reports the model performance metrics, including the coefficient of determination ((R^2)), root mean square error ((RMSE), m), and mean absolute error ((MAE), m), together with the relative weights of the explanatory variables: cumulative wave energy (CWE), initial beach width, storm duration, and storm recurrence. Mean and standard deviation of the pairwise predictor correlations and Variance Inflation Factor (VIF) are also provided to assess multicollinearity and the robustness of the estimated predictor contributions.