Multimodal brain, autonomic and phenomenological data for the acute effects of N,N-dimethyltryptamine (DMT)

A within-participant 2 × 2 study (N = 19) recorded brain (EEG/EOG), peripheral physiology (ECG, EDA, respiration) and time-resolved retrospective phenomenological reports from healthy adult volunteers across two semi-naturalistic sessions, each comprising a 10-minute eyes-closed Resting State (RS) baseline followed by a single inhalation of 20 mg or 40 mg of freebase DMT and 20 minutes of post-inhalation recording. Dose order was counterbalanced across participants. Phenomenological dynamics were captured using the Temporal Experience Tracing (TET) method, in which participants retrospectively traced the time course of 15 experiential dimensions on a continuous canvas after each block. This dataset includes: - **Raw recordings** (1.3 GB) — BrainVision-format multichannel recordings from a Brain Products BrainAmp ExG MR amplifier (sampling rate 250 Hz, 36 channels), and MATLAB files with TET phenomenological time series (sampling rate 0.25 Hz). - **Preprocessed derivatives** (7.2 GB) — per-subject CSV time series of cleaned ECG, EDA (cvxEDA-decomposed), and respiratory signals, together with JSON sidecars containing peak indices, processing parameters, and quality metrics. Analysis code that reproduces the main and supplementary figures from the raw data is available at `https://github.com/tomdamelio/dmt-emotions`.本研究为被试内2×2设计实验（样本量N=19），招募健康成年志愿者，在两场半自然主义实验范式中采集其脑电（脑电图Electroencephalogram, EEG/眼电图Electrooculogram, EOG）、外周生理信号（心电图Electrocardiogram, ECG、皮肤电Electrodermal Activity, EDA与呼吸信号）以及时间分辨率回顾性现象学报告数据。每场范式均包含10分钟闭眼静息态（Resting State, RS）基线阶段，随后单次吸入20mg或40mg游离碱二甲基色胺（freebase DMT），并在给药后进行20分钟的信号录制。所有被试的给药顺序均采用平衡设计。 本研究采用时间经验追踪法（Temporal Experience Tracing, TET）采集现象学动态数据：每轮实验结束后，被试需在连续画布上回溯标记15个体验维度的时间进程。 本数据集包含以下内容： - **原始录制数据**（1.3 GB）：采用Brain Products公司BrainAmp ExG MR放大器采集的BrainVision格式多通道脑电信号（采样率250 Hz，共36通道），以及包含TET现象学时间序列的MATLAB文件（采样率0.25 Hz）。 - **预处理衍生数据**（7.2 GB）：单被试格式的清洁后心电信号、经cvxEDA分解的皮肤电信号以及呼吸信号的CSV时间序列文件，附带包含峰值索引、处理参数与质量指标的JSON附属元数据文件。 可基于原始数据复现主图与补充图的分析代码已公开于 `https://github.com/tomdamelio/dmt-emotions`。