Figures and frozen data for Detectability of Regional Ventricular Conduction Slowing from ECGs under Baseline Activation Variability

This dataset accompanies the CinC 2026 study "Detectability of Regional Ventricular Conduction Slowing from ECGs under Baseline Activation Variability" by Julia Camps and Oscar Camara. It provides the authored Figure 1 and Figure 2 assets, frozen derived result tables, selected synthetic geometry/LAT/root fields, supporting baseline-selection data, and analysis/verification scripts. It supports numerical analyses and diagnostic figure views from frozen results, not reproduction of the entire simulation pipeline. It does not contain the manuscript or rerun forward simulations, raw ECG processing, lag optimisation or all-810 alternative-window QC. The saved 104-row targeted-QC extract contains repeated evaluations for two highlighted baselines, not 104 independent cases. Manually composed publication figures are distinguished from regenerated diagnostic views. The solver used to generate the simulations is available at https://github.com/juliacamps/Cardiac-Digital-Twin . This link identifies the solver, not a complete archive of the study-specific scripts, configurations and simulation inputs. The synthetic ventricular meshes were obtained from Doste et al.'s anatomy dataset: https://doi.org/10.5281/zenodo.15372896 . Code and associated software documentation are MIT-licensed. Scientific data, figures and metadata are licensed under CC BY 4.0, with retained third-party attribution. See README.md, DATA_GUIDE.md, THIRD_PARTY_NOTICES.md and the per-file licence/provenance manifests for the exact scope and reuse terms.