SekyungHan/battery-epidemiology: v1.0 — Data and code for Nature submission
Abstract
Anonymized dataset (1,114 EVs) and reproducible analysis code for: Battery health reporting fails independent validation across manufacturers Contents data/: Anonymized CSV (1,114 vehicles × 54 columns) + column descriptions + validation script data/intermediate_results/: 11 pre-computed JSON files for DB-free reproducibility reproducible_analysis/: 3 scripts runnable on public data only database_scripts/: Reference scripts (require private DB access) Reproduction cd data && python3 validate_reproducibility.py # All 21 checks PASS
Fields of Study & Subjects
Battery Modeling and Management
Electric Vehicles and Infrastructure
Electric and Hybrid Vehicle Technologies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 March 2026
- Language
- EN