Self-Organizing Maps and an Expertise Index for Transparent and Reproducible Consensus-Based Indicator Selection

This dataset contains supplementary tables used in the analysis of evaluator expertise and indicator clustering with Self-Organizing Maps (SOMs). Each table reports the hyperparameter settings and performance metrics for SOM training, including:

Initial and final sigma values
Initial and final learning rates
Initial, final, and minimum quantization error
Number of neurons used
Distribution of indicators across neurons

The dataset supports the reproducibility of the clustering analysis presented in the manuscript Self-Organizing Maps and Evaluator Expertise for Transparent and Reproducible Consensus-Based Indicator Selection.

Future versions of this dataset will include additional processed files and Jupyter notebooks used in the analysis.