We do not recycle catalog data: we measure it. Each dataset here is original work, dated and indexed with a permanent DOI — citable by a brand, a journal or any engineer. We publish a verifiable sample and the methodology; the complete set is delivered under agreement. If it is not documented, it does not exist.
Dataset_01 // Tire pressurePressure model calibrated on BicycleRollingResistance's public census of 321 tires (real vs nominal width), corrected for rim and validated against SILCA and Rene Herse. Sobol indices and Latin Hypercube uncertainty.
DOI: 10.5281/zenodo.20735025 → Dataset_02 // MTB suspension132 forks and shocks calibrated by brand and model against official tables (Fox, RockShox, Öhlins and more). Per-segment confidence with Monte Carlo.
DOI: 10.5281/zenodo.20735088 → Dataset_03 // Mechanical state47 new units across 5 factory mechanical failure vectors, with impact quantified in watts and braking distance. Pre-use diagnostic framework.
DOI: 10.5281/zenodo.20735169 →// Each dataset publishes a real sample and its method; the complete raw set is reserved and shared under agreement. Verifiable disclosure, not anonymous absorption.
Need a complete dataset, a custom cut or a new test on your component? It is handled from the Independent Laboratory · carlos.ravello@zoovettravel.com
© 2026 BikeLab Studio. Content under CC BY 4.0: you may copy, translate and publish it, even for commercial purposes. Citation is mandatory. Without attribution, the license terminates automatically (CC BY 4.0, §6.a) and the use becomes copyright infringement: we request the removal of the content and its deindexing. · Design and ownership: Carlos Ravello Joo