Vegetation 1 Bullgrass Vegetation 2 Camphor tree Vegetation 3 Mesquite tree Vegetation 4 Oak tree Vegetation 5 Olive tree Vegetation 6 Paperbark tree Vegetation 7 Pepper tree Vegetation 8 Pine tree Records.csv consists of the following columns: Vegetation: vegetation number corresponding to the table above. Round: replicate number. Bins: wind speed bin in m/s. wind_C1: maximum likelihood estimates of Weibull scale factor (in m/s) of all wind records within each bin. wind_C2: maximum likelihood estimates of Weibull shape factor (dimensionless) of all wind records within each bin. wind_C1_CI_min: confidence interval minimum value of range for wind_C1 (in m/s). wind_C1_CI_max: confidence interval maximum value of range for wind_C1 (in m/s). wind_C2_CI_min: confidence interval minimum value of range for wind_C2 (dimensionless). wind_C2_CI_max: confidence interval maximum value of range for wind_C2 (dimensionless). canopy_C1: maximum likelihood estimates of Weibull scale factor (in m/s) of all vegetation displacement speed records within each bin. canopy_C2: maximum likelihood estimates of Weibull shape factor (dimensionless) of all vegetation displacement speed records within each bin. canopy_C1_CI_min: confidence interval minimum value of range for canopy_C1 (in m/s). canopy_C1_CI_max: confidence interval maximum value of range for canopy_C1 (in m/s). canopy_C2_CI_1: confidence interval minimum value of range for canopy_C2 (dimensionless). canopy_C2_CI_2: confidence interval maximum value of range for canopy_C2 (dimensionless). NormalizationCoefficients.csv consists of the following columns: Vegetation: vegetation number corresponding to the table above. Round: replicate number. a: sigmoid curve* fitted a coefficient, which determines the scale of the higher wind asymptote. b: sigmoid curve* fitted b coefficient, which determines the range of the region of highest correlation between vegetation speeds and wind speeds. x0: sigmoid curve* fitted x0 coefficient, which determines the center of the region of highest correlation between vegetation speeds and wind speeds. *canopy_C1=a/(1+exp(-(wind_C1-x0)/b)) NormalizedRecords.csv consists of the following columns: Vegetation: vegetation number corresponding to the table above. Round: replicate number. Bins: wind speed bin in m/s. tilde{wind_C1}: non-dimensional wind scale factor. It is computed using b and x0 from the sigmoid curve fits in NormalizationCoefficients.csv and the following relationship of tilde{wind_C1}=(wind_C1*b)+x0. tilde{canopy_C1}: non-dimensional vegetation scale factor. It is computed using a from the sigmoid curve fits in NormalizationCoefficients.csv and the following relationship of tilde{canopy_C1}=(canopy_C1)/a.