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.