Preprocessed data for: Clock-free optimal stopping in social cognition

Preprocessed data accompanying: Clock-free optimal stopping in social cognition: Stochastic sensitivity dynamics predict behavioral, neural, and perceptual transition timing Tom Froese (2026) This archive contains all preprocessed data needed to reproduce the three figures reported in the paper. Download preprocessed.zip and unzip it into the data/ directory of the code repository to produce data/preprocessed/ with five subdirectories: ClickTimes/ — Click response times per participant per trial (CSV + JSON sidecar) Haptics/ — Haptic feedback time series downsampled to 100 Hz (gzip-compressed CSV + JSON sidecar) EDA/ — Electrodermal activity for task and rest periods at 25 Hz, Butterworth-filtered and artifact-flagged (CSV + JSON sidecars) EEG/ — Global scalp potential time courses and sensitivity model fits by brain region (MAT files) PAS/ — Perceptual awareness scale sensitivity and crossover analyses (MAT files) The preprocessed files were derived from the raw Perceptual Crossing Experiment dataset archived on OSF (https://osf.io/47n3p), which includes raw behavioral, EDA, and EEG recordings from 32 dyads (64 participants). The preprocessing scripts are included in the code repository and are fully documented. Code repository: https://github.com/tom-froese/pce-sensitivity-dynamics