Supporting Dataset (Tables S1-S6) for "Cluster Counting: A practical approach for bias reduction in heavy-mineral grain counting"

This Dataset comprises Tables S1-S6 for the article "Cluster Counting: A practical approach for bias reduction in heavy-mineral grain counting" authored by Jan Schönig and submitted to Journal of Geophysical Research: Earth Surface.

Table S1: Heavy-mineral dataset from semi-automated Raman analysis

Table S2: Summary of heavy-mineral composition for individual samples in percent

Table S3: Computed ribbon compositions for individual samples and ribbon sizes given in numbers of counts

Table S4: Relative errors at 95 % quantile for consecutive ribbon counting simulations

Table S5: Relative errors at 95 % quantile for maximum distance ribbon counting simulations

Table S6: Relative errors at 95 % quantile for cluster counting simulations