MEG Ladder Stats: Reproducible Shuffle Tests for Quantized Steepness Alignments (v0.1.0)
Abstract
This item provides a self-contained, runnable package that reproduces the statistical validation of rung alignment used in the MEG harmonic ladder manuscript. It includes the pre-specified 12-feature dataset (in rung units) and Python code to run three null models, compute effect-size metrics, and test robustness, so referees (and readers) can verify all reported results with a single command.
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset