Dataset for publication ``A bin-resolved statistical framework for comparing particle size distributions''

Abstract

This dataset accompanies the study introducing the Difference Significance Profile (DSP), a statistically rigorous framework for bin-resolved comparison of particle size distributions (PSDs). It contains particle-level size measurements obtained by in-line SOPAT imaging of spray-dried alumina powders, together with all processed data required to reproduce the statistical analyses presented in the associated publication. The repository includes raw particle-size data, common binned PSDs, probability differences, bin-wise DSP statistics, bootstrap calibration results, covariance matrices, and comparison-level summary statistics for two experimental scenarios: (i) powders produced under different spray-drying temperatures (120 °C and 145 °C) and (ii) repeated experiments under identical conditions (120 °C) to assess repeatability. Additionally, mercury intrusion porosimetry measurements for the two temperature conditions are provided to support the physical interpretation of the observed PSD differences. The dataset enables complete reproduction of the DSP analysis, facilitates benchmarking against alternative PSD comparison methods, and provides a reusable resource for statistical analysis of particle size distributions in particle technology and related fields.