Cross-Cultural Neuroacoustic Computational Model (CNCM): 19 Devotional Traditions, 106 Tracks — Data, Code, and Figures

The Cross-Cultural Neuroacoustic Computational Model (CNCM) is a modular open-source Python pipeline integrating acoustic feature extraction, rule-based EEG simulation, repetition dose-response modelling, tympanic membrane biomechanics, olfactory-trigeminal modulation, Pancha Indriya five-sense scoring, cardiac safety protocols, and stress-depression subtype prescriptions across 106 devotional tracks from 19 traditions. Dataset contents:- 2 Jupyter notebooks (Google Colab / Kaggle compatible): full pipeline (90 cells) and clinical scoring modules A+B+C (58 cells)- 6 curated CSV files: features (106x28), labels (106x22), metadata (106x31), pancha_indriya_scores (106x10), stress_depression_scores (106x8), cardiac_depression_scores (106x16)- 7 main figures and 7 supplementary figures (300 dpi PNG)- Full manuscript, tables, and supplementary methods (DOCX)- Documentation: neuroacoustic score formula, Pancha Indriya model, cardiac safety protocol, data dictionary Key verified results (12/12 audit checks passed):- Neuroacoustic score: 25.1-100.0 (mean=55.0, std=17.1, n=106)- Dominant acoustic predictor: spectral centroid r=-0.685, p<0.001, R2=0.47- EEG convergence: cosine similarity Stotram vs Islamic = 0.991- TM perforation: 53% VCI reduction (t=3.63, p=0.0006)- Pancha Indriya range: pancha_total 40.84-86.00; shrotra std=6.82- Cardiac AVOID for CHD+PTSD: 63/106 tracks (tempo >100 BPM)- Cardiac AVOID for LQTS: 70/106 tracks (tempo >90 BPM)- Indian temple-dose gain: +8.0 pts vs core international subset- India translational target: ~266 million affected (18% of 1.477 billion) Traditions covered:Core dataset (45 tracks): Vedic, Stotram, Tamil Stotram, Bhajan, Shakta Tantric, Buddhist, Islamic, Christian, JewishExtended dataset (61 additional tracks): Sikhism, Sufism, Zoroastrian, Greek Orthodox, Tibetan Bon, African Traditional, Native American, Taoist, Shinto, Rastafari IMPORTANT: All EEG data are simulated using a rule-based acoustic-to-EEG mapping. All clinical scores are model predictions constituting falsifiable hypotheses for empirical testing. This framework is hypothesis-generating and not for direct clinical use. All cardiac prescriptions are adjunctive and do not replace standard cardiac medication.