Discover datasets

raw EEG in a modified Sternberg working memory paradigm with two types of task: with mental manipulations (alphabetization) and simple retention (TASK) and 3 levels of load: 5, 6, or 7 letter to memorize (LOAD). Events.tsv files in eeg folders contain event descriptions (see column trial\_type). trial\_type = { '500' 'start of the trial'; '150' 'start of the baseline period: Retention of 5 letters (5R)'; '151' 'start of the baseline period: Manipulation with 5 letters (5M)';

Participants

156

Size

20.3 GB

Updated

Jun 6, 2026

Three different tasks. From: "Electrophysiological biomarkers of behavioral dimensions from cross-species paradigms" N=57 humans. Also has mouse data in code folder. Triggers were odd binary recombinations that were re-translated into 0-255 in Matlab. See .m scripts and Trigger Translator.xlsData collected circa 2014-2016 in San Diego. Data analyzed circa 2015-2021 in New Mexico. - James F Cavanagh 04/19/2021

Participants

57

Size

15.3 GB

Updated

Jun 6, 2026

**ForrestGump-MEG: A audio-visual movie watching MEG dataset** For details please refer to our paper on https://www.biorxiv.org/content/10.1101/2021.06.04.446837v1. This dataset contains MEG data recorded from 11 subjects while watching the 2h long Chinese-dubbed audio-visual movie 'Forrest Gump'. The data were acquired with a 275-channel CTF MEG. Auxiliary data (T1w) as well as derivation data such as preprocessed data and MEG-MRI co-registration are also included. Please noted that For sub

Participants

11

Size

73.5 GB

Updated

Jun 6, 2026

Inner Speech Dataset. Author: Nicolás Nieto Code available at: https://github.com/N-Nieto/Inner\_Speech\_Dataset Publication available at: https://www.nature.com/articles/s41597-022-01147-2 Abstract: Surface electroencephalography is a standard and noninvasive way to measure electrical brain activity. Recent advances in artificial intelligence led to significant improvements in the automatic detection of brain patterns, allowing increasingly faster, more reliable and accessible Brain-Comput

Participants

10

Size

18.3 GB

Updated

Jun 6, 2026

### Overview This dataset contains raw and pre-processed EEG data from a mobile EEG study investigating the effects of cognitive task demands, motor demands, and environmental complexity on attentional processing (see below for experiment details). All preprocessing and analysis code is deposited in the `code` directory. The entire MATLAB pipeline can be reproduced by executing the `run\_pipeline.m` script. In order to run these scripts, you will need to ensure you have the required MATLAB

Participants

44

Size

17.0 GB

Updated

Jun 6, 2026

Data collection took place at the Washington University School of Medicine, St. Louis, under the supervision of Dr. Andrey Anokhin ([email protected]). The project was approved by the Washington University Institutional Review Board (IRB project # 201707051). Detailed task description and subject instructions can be found in a seperate PDF file under the folder stimuli. The task sequence file (stim program code) together with the visual stimuli used in the task are also provided in the stimulus f

Participants

118

Size

73.2 GB

Updated

Jun 6, 2026

The data included 18 participants that played at 2 different games during wakefulness in the 3T MRI: the FACE and the MAZE game, intermixed with periods of REST and period of preparation of each game (game session). The tasks were manipulated and at the end of the game session, one game was won (Reward game) and the second was lost (No Reward game), randomly assigned for each participant. Next, during the sleep session, 64 electrodes were placed on the head of the participants, before they slept

Participants

18

Size

18.0 GB

Updated

Jun 6, 2026

The musicians were instructed to listen to chord progressions, that each consisted of three chords. We refer to one instance of such a progression in the recording as a trial. Every one of the three chords in one trial sounded in sequence, each for 400 ms in piano timbre, after which each trial ended with another 400 ms silence. This resulted in a fixed, total trial length of 1600 ms. The only progressions used in the experiment were ii-IV-I, ii-V-I, ii-IV6-I and ii-V6-I. Each experimental block

Participants

40

Size

47.6 GB

Updated

Jun 6, 2026

This dataset contains the MEG and structural MRI data from the "Electrophysiological correlates of mood and reward dynamics in human adolescents" pre-registered analysis (https://www.biorxiv.org/content/10.1101/2021.03.04.433969v1). The task-mmi3 data corresponds to the monetary gambling mood induction task described in the paper. Task-mmi3 data has been pre-processed marking bad channels and bad segments (motion > 5mm or/and noise artifacts). Task-rest data is unprocessed 10 minutes resting

Participants

51

Size

123 GB

Updated

Jun 6, 2026

# Dataset of EEG recordings containing HFO markings for 30 pediatric patients with epilepsy ## Summary High-frequency oscillations in scalp EEG are promising non-invasive biomarkers of epileptogenicity. However, it is unclear how high-frequency oscillations are impacted by age in the pediatric population. We recorded and processed the first 3 hours of sleep EEG data in 30 children and adolescents with focal or generalized epilepsy. We used an automated and clinically validated high-frequency

Participants

30

Size

15.1 GB

Updated

Jun 6, 2026