VelOT: Reproducibility data and benchmark outputs

# VelOT — Reproducibility Data and Benchmark Outputs This deposit accompanies the manuscript: > Rincón de la Rosa L, Pérez García D, Alentorn A.> "VelOT: kinetic-free RNA velocity inference via optimal transport,> flow-field smoothing, and VAMP coarse-graining of cellular dynamics"> Submitted to bioRxiv and Nature Methods (2026). ## Contents - `data/` — Preprocessed AnnData (.h5ad) files for all benchmark datasets- `notebooks/` — python modules for the reproducibility results- `tables/` — Machine-readable benchmark scores and contingency tables ## Code The VelOT Python package and source notebooks are available at:https://github.com/lucas-rdlr/velot ## License Code: MIT LicenseData: CC-BY-4.0 (reprocessed from publicly available datasets;see manuscript for original data sources and accession numbers)