Effective Volume Fraction dataset and code

Contents description--------------------data/EVF_dataset_with_calculations.xlsx- Curated experimental dataset assembled from peer-reviewed literature.- Contains elastic, shear, and bulk modulus data for heterogeneous materials.- Includes nominal volume fractions, constituent properties, fitted activation parameters (z), and model predictions used in the manuscript.- This file underlies the main quantitative analyses and multiple figures.data/EVF_z_ML_diagnostics.xlsx- Output of the diagnostic machine-learning analysis.- Contains series-level activation parameters and Random Forest feature-importance results used for interpretation of the EVF activation exponent.- Supports the descriptor-based analysis reported in the Results and Methods.code/z_ml_diagnostics.py- Python script used to perform the Random Forest regression analysis.- Generates the machine-learning diagnostics and feature-importance tables reported in the manuscript.- Uses standard scientific Python libraries (pandas, numpy, scikit-learn).code/z_correlation_statistics.py- Python script used to compute Pearson and Spearman correlations between activation parameters obtained from different micromechanical formulations.- Generates correlation statistics and publication-quality scatter plots reported in the Extended Data.