An Extended Dataset of Extracted Acoustic Features forVoice-Based Detection of Parkinson’s Disease

This dataset provides high-resolution figures and supplementary materials generated during a study on Parkinson’s disease detection using voice data. The collection includes baseline classification results, feature distribution plots, correlation heatmaps, and class balance visualizations. These resources support transparency, enable reproducibility, and allow readers to explore the full-resolution visualizations referenced in the associated research.