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EEG datasets

archive 2025-07-28

44 datasets carry the modality tag "EEG", ordered by the archive's paper count. Page 1 of 1: 44 shown of 44. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets

EEG datasets 1–44 of 44

SEED (SJTU Emotion EEG Dataset)
The SEED dataset contains subjects' EEG signals when they were watching films clips.
119 papers · 4 benchmarks
Sleep-EDF (Sleep-EDF Expanded)
The sleep-edf database contains 197 whole-night PolySomnoGraphic sleep recordings, containing EEG, EOG, chin EMG, and event markers.
94 papers · 5 benchmarks
AMIGOS (AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups)
We present a database for research on affect, personality traits and mood by means of neuro-physiological signals.
33 papers · 1 benchmark
The Montreal Archive of Sleep Studies (MASS) is an open-access and collaborative database of laboratory-based polysomnography (PSG) recordings O’Reilly, C., et al.
15 papers · 4 benchmarks
The DEAP dataset consists of two parts: - The ratings from an online self-assessment where 120 one-minute extracts of music videos were each rated by 14-16 volunteers based on arousal, valence and dominance.
11 papers · 1 benchmark
EEEyeNet is a dataset and benchmark with the goal of advancing research in the intersection of brain activities and eye movements.
EEG
10 papers · 0 benchmarks
CHB-MIT (CHB-MIT Scalp EEG)
The CHB-MIT dataset is a dataset of EEG recordings from pediatric subjects with intractable seizures.
6 papers · 1 benchmark
PhyAAt (Physiology of Auditory Attention)
The dataset contains a collection of physiological signals (EEG, GSR, PPG) obtained from an experiment of the auditory attention on natural speech.
4 papers · 4 benchmarks
The eSports Sensors dataset contains sensor data collected from 10 players in 22 matches in League of Legends.
4 papers · 2 benchmarks
EEG/fMRI Data from 8 subject doing a simple eyes open/eyes closed task is provided on this webpage.
3 papers · 1 benchmark
Physionet MI (Physionet EEG Motor Movement/Imagery Dataset)
This data set consists of over 1500 one- and two-minute EEG recordings, obtained from 109 volunteers [2].
3 papers · 0 benchmarks
High-gamma dataset discribed in Schirrmeister et al.
2 papers · 0 benchmarks
SEED-VIG (SJTU Emotion EEG Dataset)
The SEED-VIG dataset is composed of four parts.
2 papers · 0 benchmarks
Age and Gender (Age and Gender Dataset)
EEG signals from 60 users have been recorded whose age range lies between 6 and 55 years.
1 paper · 0 benchmarks
Temporal Dataset for Indoor and In-Vehicle Thermal Comfort Estimation Abstract Thermal comfort estimation is essential for enhancing user experience in static indoor environments and dynamic in-vehicle scenarios.
1 paper · 0 benchmarks
This dataset is a BIDS-compatible version of the CHB-MIT Scalp EEG Database.
1 paper · 0 benchmarks
This dataset is a BIDS compatible version of the Siena Scalp EEG Database.
1 paper · 0 benchmarks
EEG Speech-Robot Interaction Dataset (EEG data recorded during spoken and imagined speech interaction with a simulated robot)
Dataset Description This dataset consists of Electroencephalography (EEG) data recorded from 15 healthy subjects using a 64-channel EEG headset during spoken and imagined speech interaction with a simulated robot.
EEG
1 paper · 0 benchmarks
MAHNOB-HCI (MAHNOB-HCI-Tagging database)
Characterising multimedia content with relevant, reliable and discriminating tags is vital for multimedia information retrieval.
1 paper · 0 benchmarks
MODA dataset (Massive Online Data Annotation Spindle Dataset)
MODA is a large open-source dataset of high quality, human-scored sleep spindles (5342 spindles, from 180 subjects) that was produced by the Massive Online Data Annotation project.
1 paper · 1 benchmark
Maintenance of Wakefulness Test (MWT) is a dataset of recordings with microsleep episodes and drowsiness.
EEG
1 paper · 0 benchmarks
STEW (Simultaneous Task EEG Workload Dataset)
This dataset consists of raw EEG data from 48 subjects who participated in a multitasking workload experiment utilizing the SIMKAP multitasking test.
1 paper · 0 benchmarks
This dataset is obtained during an ICON project (2017-2018) in collaboration with KU Leuven (ESAT-STADIUS), UZ Leuven, UCB, Byteflies and Pilipili.
1 paper · 0 benchmarks
Please refer to the Zenodo page for a detailed description: https://zenodo.org/records/15665101
1 paper · 0 benchmarks
Siena Scalp EEG Database (Physionet Siena Scalp EEG Database)
The database consists of EEG recordings of 14 patients acquired at the Unit of Neurology and Neurophysiology of the University of Siena.
1 paper · 0 benchmarks
TUAC (Temple University Artifact Corpus)
A new subset of the popular open source electroencephalogram (EEG) corpus – TUH EEG: - The Temple University Artifact Corpus (TUAR) consists of high yield artifact files annotated using a five-way classification system: 1.
1 paper · 0 benchmarks
WWU DUNEuro reference data set (The WWU DUNEuro reference data set for combined EEG/MEG source analysis)
The provided dataset consists of high-quality realistic head models and combined EEG/MEG data which can be used for state-of-the-art methods in brain research, such as modern finite element methods (FEM) to compute the EEG/MEG forward…
1 paper · 0 benchmarks
AlexMI (Alex Motor Imagery dataset)
Alex Motor Imagery dataset.
0 papers · 0 benchmarks
BMI/OpenBMI dataset for MI. (EEG dataset and OpenBMI toolbox for three BCI paradigms)
BMI/OpenBMI dataset for MI.
0 papers · 0 benchmarks
BNCI 2014-001 Motor Imagery dataset. (BCI Competition 4, version IIa)
BNCI 2014-001 Motor Imagery dataset Dataset IIa from BCI Competition 4 [1].
0 papers · 0 benchmarks
BNCI 2014-002 Motor Imagery dataset (BCI Competition 4 IIa)
Dataset Description This data set consists of EEG data from 9 subjects.
0 papers · 0 benchmarks
BNCI 2014-004 Motor Imagery dataset. (Dataset B from BCI Competition 2008.)
Dataset description This data set consists of EEG data from 9 subjects of a study published in [1].
0 papers · 0 benchmarks
Dataset description We acquired the EEG from three Laplacian derivations, 3.5 cm (center-to- center) around the electrode positions (according to International 10-20 System of Electrode Placement) C3 (FC3, C5, CP3 and C1), Cz (FCz, C1, CPz…
0 papers · 0 benchmarks
Dataset description We provide EEG data recorded from nine users with disability (spinal cord injury and stroke) on two different days (sessions).
0 papers · 0 benchmarks
The International Cardiac Arrest REsearch consortium (I-CARE) Database includes baseline clinical information and continuous electroencephalogram (EEG) and electrocardiogram (ECG) recordings from comatose patients following cardiac arrest.
0 papers · 0 benchmarks
Data Acquisition EEG and NIRS data was collected in an ordinary bright room.
0 papers · 0 benchmarks
Dataset Description We conducted a BCI experiment for motor imagery movement (MI movement) of the left and right hands with 52 subjects (19 females, mean age ± SD age = 24.8 ± 3.86 years); Each subject took part in the same experiment, and…
0 papers · 0 benchmarks
Motor Imagery dataset from Ofner et al 2017 (Upper limb Motor imagery dataset from the paper)
Dataset description We recruited 15 healthy subjects aged between 22 and 40 years with a mean age of 27 years (standard deviation 5 years).
0 papers · 0 benchmarks
Dataset from the article Evaluation of EEG oscillatory patterns and cognitive process during simple and compound limb motor imagery [1].
0 papers · 0 benchmarks
Dataset from the article A Fully Automated Trial Selection Method for Optimization of Motor Imagery Based Brain-Computer Interface [1].
0 papers · 0 benchmarks
Motor Imagey Dataset from Shin et al 2017 (Motor Imagery (Dataset A))
Data Acquisition EEG and NIRS data was collected in an ordinary bright room.
0 papers · 0 benchmarks
Munich Motor Imagery dataset (Motor imagery dataset from Grosse-Wentrup et al. 2009.)
BMI/OpenBMI dataset for MI.
0 papers · 0 benchmarks
PhyMER (PhyMER: Physiological Dataset for Multimodal Emotion Recognition With Personality as a Context)
A physiological signal dataset with multiple physiological signals collected from 30 participants.
0 papers · 0 benchmarks
Physionet MI dataset: https://physionet.org/pn4/eegmmidb/ This data set consists of over 1500 one- and two-minute EEG recordings, obtained from 109 volunteers [2].
0 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.