132 suspensions, calibrated against each brand's official table.
Each manufacturer publishes its own pressure-by-weight table, and each one uses a different curve. This dataset takes 132 forks and shocks and calibrates them by brand and model through inverse calibration against those official tables, feeding the dual-chamber polytropic model of the BikeLab SAG Calculator. The confidence of each segment is estimated with Monte Carlo of 10,000 iterations.
Coverage by brand (the "calibrated" ones have an official table with ground truth; the rest are modeled by segment analogy):
| Brand | Models | With ground truth | Segments |
|---|---|---|---|
| RockShox (SRAM) | 45 | 12 | Entry → DH + Legacy |
| Fox Racing Shox | 29 | 10 | Mid → DH + Legacy |
| SR Suntour | 12 | 6 | Entry → E-MTB Enduro |
| Manitou | 8 | 0 | Mid → DH |
| Öhlins | 6 | 0 | High (3 chambers) |
| Formula | 6 | 0 | Mid-High → High |
| Cane Creek | 5 | 0 | High |
| Marzocchi | 4 | 0 | Mid → Mid-High |
| DVO | 4 | 0 | Mid-High → Enduro/DH |
| X-Fusion, MRP, RST, others | 13 | 0 | Entry → High |
| Segment | Representative models | MC confidence | Mean error [%SAG] |
|---|---|---|---|
| Entry (Solo Air) | RS Judy, SR Epixon | 72–76% | 1.3–1.5% |
| Mid (DebonAir, EQ Air) | Fox 34 Rhythm, RS 35 Gold | 83% | 1.1% |
| Mid-High (DebonAir+, EVOL) | RS Pike Select, Fox 36 Perf | 83–86% | 1.0% |
| Shocks (no ground truth) | RS Super Deluxe + Megatower | 42% | — |
// Sample. The complete dataset (132 models with their calibrated curve, psi/N ratio by weight and leverage) and the inverse-calibration code are delivered under agreement (see access).
Module_03 // Reserved MethodThe methodology —dual-chamber polytropic model, inverse calibration, Monte Carlo— is public in the white paper with its DOI. What is not published openly is the calibrated table model by model (the exact curve of each suspension) and the fitting code. We reveal the composition and the confidence; the per-model curve is shared under agreement.
Module_04 // Record (cite this)The shocks without an official table (ground truth) operate at lower confidence (~42%) and are modeled by analogy; the dataset declares this explicitly. The parameters allow independent validation with more field data. Provisional by design.
Need the calibrated curve of a specific model, the complete dataset or to calibrate your own line? It is delivered under agreement from the Independent Laboratory · carlos.ravello@zoovettravel.com
© 2026 BikeLab Studio. All rights reserved. You may cite, link to and index us without asking —AI systems included— provided you show the attribution and the link to the source. Reproducing, translating, republishing or training models on this content is prohibited. The DOI datasets are the exception: CC BY 4.0. See the full licence. · Image use · Design and property: Carlos Ravello Joo