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.配套预处理数据： 社会认知中的无时钟最优停止：随机敏感性动力学预测行为、神经与知觉转换时序 | Tom Froese（2026） 本归档文件包含复现论文中三张配图所需的全部预处理数据。请下载preprocessed.zip并解压至代码仓库的data/目录下，即可生成包含五个子目录的data/preprocessed/文件夹： - ClickTimes/：单被试单次试次的点击反应时（CSV（Comma-Separated Values）格式+JSON附属元数据文件） - Haptics/：下采样至100Hz的触觉反馈时间序列（gzip压缩CSV格式+JSON附属元数据文件） - EDA/：任务与静息阶段的25Hz皮肤电活动（Electrodermal Activity, EDA）数据，经巴特沃斯滤波并标记伪影（CSV格式+JSON附属元数据文件） - EEG/：全头皮电位时序与按脑区分区的敏感性模型拟合结果（MAT格式文件） - PAS/：知觉觉知量表（Perceptual Awareness Scale, PAS）敏感性与交叉分析（MAT格式文件） 本预处理数据集源自存档于开放科学框架（Open Science Framework, OSF，https://osf.io/47n3p）的原始知觉穿越实验数据集，该数据集包含32对被试（共64名参与者）的原始行为、皮肤电活动与脑电图（Electroencephalogram, EEG）记录。代码仓库中包含完整的预处理脚本及相关文档。 代码仓库：https://github.com/tom-froese/pce-sensitivity-dynamics