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 <strong>"Cluster Counting: A practical approach for bias reduction in heavy-mineral grain counting"</strong> authored by Jan Schönig and submitted to J<em>ournal of Geophysical Research: Earth Surface</em>. 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