Preprocessed data for: Clock-free optimal stopping in decision-making

Preprocessed data accompanying: Clock-free optimal stopping in decision-making: Stochastic sensitivity dynamics predict behavioral, neural, and perceptual transitions — Tom Froese (2026) This archive contains the preprocessed data needed to reproduce the figures reported in the paper, without downloading the full raw dataset from OSF. preprocessed.zip — unzip into the data/ directory of the code repository to produce data/preprocessed/ with five subdirectories: ClickTimes/ (click response times), Haptics/ (haptic feedback, 100 Hz), EDA/ (electrodermal activity, 25 Hz), EEG/ (global scalp potential and sensitivity-model fits, MAT files), and PAS/ (perceptual-awareness-scale analyses, MAT files). eeg_task_raw_fif.zip — the 62 cleaned continuous EEG recordings (MNE-Python *_task-raw.fif, one per participant) used by the aperiodic-exponent (1/f) analysis. Unzip into data/preprocessed/EEG/ to add the per-dyad pceXX/ folders; this lets you reproduce the neural exponent figure from preprocessed data alone. All files derive from the raw Perceptual Crossing Experiment dataset archived on OSF (https://osf.io/47n3p). Code repository: https://github.com/tom-froese/pce-sensitivity-dynamics.