Mouse Musculoskeletal Model Sensitivity Analysis Data and Code

173 input parameters, including musculotendon properties, joint angles, and ground reaction forces, were analyzed for their influence on tibial forces during stance. The dataset includes examples of models and results from a Morris screening sensitivity analysis, published in the Journal of Biomechanics. The data and code are shared by author Enrico Dall'Ara via figshare under a CC-BY-4.0 license.

Use Cases

• Ranking parameter importance based on the absolute mean and standard deviation of elementary effects
• Assessing nonlinear or interaction effects among musculoskeletal parameters
• Comparing model sensitivity with and without the force–length-velocity (F-L-V) relationship
• Reproducing or extending the global sensitivity analysis methodology described in the paper

Strengths

• Includes 173 distinct input parameters for sensitivity analysis
• Provides results from a Morris screening technique, a recognized global sensitivity analysis method
• Contains both model examples and analysis results as described in the published paper

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The 121.3 MB ZIP file contains examples, not necessarily the complete dataset from the study

Provenance

Source

Enrico Dall'Ara

Collection Method

Generated from computational musculoskeletal models and sensitivity analysis as part of a published research study.

Freshness

Last updated 2026-05-18 16:01:23; freshness should be verified