A dataset handle and abstract low level access to the data. the dataset will takes data stored locally, in the format in which they have been downloaded, and will convert them into a MNE raw object. There are options to pool all the different recording sessions per subject or to evaluate them separately.
See http://moabb.neurotechx.com/docs/dataset_summary.html for detail on datasets (electrodes, number of trials, sessions, etc.)
Data Summary#
MOABB gathers many datasets for BCI research. Use the interactive table below to explore, filter by paradigm, health status, country, or license, and export to CSV. Click any dataset name for full documentation.
It is also possible to add new datasets — there is a tutorial explaining how to do so, and we welcome any new contributions!
External datasets in BIDS
format can also be used via
LocalBIDSDataset.
| Dataset | Paradigm | #Subj | #Chan | #EEG | #Classes | Freq (Hz) | Trial (s) | #Sess | #Runs | Health | #Trials | Country | Year | DOI | Class Labels | Stimulus | Modality | Feedback | Sync | Mode | Study Design | Hardware | Reference | Sensor Type | Montage | Line Freq | Filters | Cap Mfr | Software | Clinical Pop. | Age Mean | Age Min | Age Max | Gender | Handedness | BCI Exp. | License | Institution | Repository | Duration (h) | Author | Data URL | Pathology Tags | Modality Tags | Type Tags | File Format | EOG | EMG | #Blocks | Trials Context | Stim. Freqs | Code Type | #Targets | #Repetitions | ISI (ms) | SOA (ms) | MI Tasks |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AlexMI | Motor Imagery | 8 | 16 | 16 | 3 | 512 | 3 | 1 | 1 | healthy | 60 | 🇫🇷 FR | 2012 | DOI | right_hand, feet, rest | visual cue | visual | none | synchronous | offline | Cue-based motor imagery... | g.tec g.USBamp | earlobe | EEG | standard_1005 | 50 | Matlab/Simulink | CC-BY-SA-4.0 | Université de Grenoble | Zenodo | Alexandre Barachant | Link | Healthy | Motor | Research | fif | No | No | 20 trials per class, 3 s... | right_hand, feet, rest | |||||||||||||||||
| BI2012 | P300 / ERP | 25 | 16 | 16 | 2 | 128 | 1 | 2 | healthy | Target: 128, non-Target:... | 🇫🇷 FR | 2019 | DOI | Target, NonTarget | visual flashes of alien... | visual | visual (game interface) | synchronous | both | longitudinal and transve... | NeXus-32 (MindMedia/TMSi... | hardware common average... | EEG | standard_1020 | 50 | OpenVibe | 24.4 | 21 | 31 | half played games occasi... | CC-BY-4.0 | GIPSA-lab, CNRS, Univers... | Zenodo | M. Congedo | Link | Healthy | Visual | Perception | mat, csv | No | No | per session (Training se... | 8 | ||||||||||||||
| BI2013a | P300 / ERP | 24 | 16 | 16 | 2 | 512 | 8 | 2 | healthy | Training_Target: 80, Tra... | 🇫🇷 FR | 2019 | DOI | Target, NonTarget | visual flashes | visual | visual (Brain Invaders v... | both | compare P300-based BCI w... | g.USBamp (g.tec, Schiedl... | left earlobe | wet Silver/Silver Chlori... | standard_1020 | 50 | no digital filter applie... | g.tec | OpenVibe | 25.96 | 20 | 30 | male:12, female:12 | volunteers recruited via... | CC-BY-1.0 | GIPSA-lab, CNRS, Univers... | Zenodo | M. Congedo | Link | Healthy | Visual | Perception | mat, csv, gdf | No | No | per_phase | |||||||||||||
| BI2014a | P300 / ERP | 64 | 16 | 16 | 2 | 512 | 1 | 1 | healthy | variable; up to 8 attemp... | 🇫🇷 FR | 2019 | DOI | Target, NonTarget | visual flashes | visual | visual | online | calibration-less P300-ba... | g.USBamp (g.tec, Schiedl... | right earlobe | dry electrodes | standard_1010 | 50 | no digital filter applie... | g.tec | OpenVibe | 23.55 | male:49, female:22 | not specified | 57 were naïve BCI partic... | CC-BY-4.0 | GIPSA-lab, CNRS, Univers... | Zenodo | Marco Congedo | Link | Healthy | Visual | Perception | mat and csv | No | No | 9 | 9 levels per session, up... | 1 | 12 | |||||||||||
| BI2014b | P300 / ERP | 38 | 32 | 32 | 2 | 512 | 1 | 1 | healthy | variable per session (9... | 🇫🇷 FR | 2019 | DOI | Target, NonTarget | visual flashes | visual | visual | synchronous | online | multi-user/hyperscanning... | g.USBamp (g.tec, Schiedl... | right earlobe | wet electrodes | standard_1010 | 50 | g.tec | OpenVibe | 24.1 | male:24, female:14 | not naïve users - select... | CC-BY-4.0 | GIPSA-lab, CNRS, Univers... | Zenodo | Marco Congedo | Link | Healthy | Visual | Perception | mat and csv | No | No | 9 | 9 levels per game sessio... | 1 | |||||||||||||
| BI2015a | P300 / ERP | 43 | 32 | 32 | 2 | 512 | 3 | 1 | healthy | variable per subject (up... | 🇫🇷 FR | 2019 | DOI | Target, NonTarget | oddball paradigm on grid... | visual | visual (game interface w... | synchronous | online | calibration-less P300-ba... | g.USBamp (g.tec, Schiedl... | right earlobe | wet electrodes | 10-10 | 50 | no digital filter applie... | g.tec | OpenVibe | 23.7 | male:31, female:12 | mostly students and youn... | CC-BY-4.0 | GIPSA-lab, CNRS, Univers... | Zenodo | Marco Congedo | Link | Healthy | Visual | Perception | mat and csv | No | No | 3 | 9 levels per session wit... | 1 | 12 | |||||||||||
| BI2015b | P300 / ERP | 44 | 32 | 32 | 2 | 512 | 1 | 4 | patients | variable per subject (up... | 🇫🇷 FR | 2019 | DOI | Target, NonTarget | visual flash | visual | visual (game interface w... | online | Three game sessions with... | g.USBamp (g.tec, Schiedl... | right earlobe | wet Silver/Silver Chlori... | 10-10 | 50 | no digital filter applie... | g.tec | OpenVibe | Healthy | 23.7 | male:36, female:14 | mostly students and youn... | CC-BY-4.0 | GIPSA-lab, CNRS, Univers... | Zenodo | Marco Congedo | Link | Healthy | Visual | Perception | mat and csv | No | No | 9 | per session (9 levels pe... | 1 | 12 | |||||||||||
| BNCI2003_004 | Motor Imagery | 5 | 118 | 118 | 2 | 100 | 3.5 | 1 | 1 | healthy | 280 | 🇩🇪 DE | 2004 | DOI | right_hand, feet | visual cue | offline | BrainAmp | EEG | standard_1005 | 50 | {'bandpass': [0.05, 200]... | CC-BY-4.0 | Fraunhofer FIRST (IDA);... | BBCI | Klaus-Robert Müller | Healthy | Motor | Research | mat | No | No | 280 cues per subject, sp... | right_hand, feet | |||||||||||||||||||||||
| BNCI2014_001 | Motor Imagery | 9 | 25 | 22 | 4 | 250 | 4 | 2 | 6 | healthy | training: 200, test: 240 | 🇦🇹 AT | 2012 | DOI | left_hand, right_hand, f... | arrow_cue | multisensory | none | asynchronous | offline | Two-class motor imagery... | BrainAmp MR plus | left mastoid | Ag/AgCl | custom | 50 | bandpass 0.05-200 Hz | EASYCAP GmbH | BCI2000 | CC-BY-ND-4.0 | Berlin Institute of Tech... | BNCI Horizon | Michael Tangermann | Link | Healthy | Motor | Motor | GDF | No | No | 6 | per subject (2 training... | left_hand, right_hand, f... | ||||||||||||||
| BNCI2014_002 | Motor Imagery | 14 | 15 | 15 | 2 | 512 | 5 | 1 | 8 | healthy | 160 | 🇦🇹 AT | 2014 | DOI | right_hand, feet | bar_graph | visual | continuous | synchronous | online | Two-class motor imagery:... | g.USBamp | left mastoid | Ag/AgCl | Laplacian | 50 | 8th order Butterworth ba... | Guger Technologies OG | BCI2000 | 20 | 30 | mixed | CC-BY-ND-4.0 | Graz University of Techn... | BNCI Horizon | Healthy | Motor | Motor Imagery | MAT | No | No | 8 | total per subject | right_hand, feet | |||||||||||||
| BNCI2014_004 | Motor Imagery | 9 | 3 | 3 | 2 | 250 | 7.5 | 5 | 1 | healthy | screening: 120, feedback... | 🇦🇹 AT | 2007 | DOI | left_hand, right_hand | arrow_cue | visual | visual | cue_based | both | Two-class motor imagery:... | g.tec | left mastoid | EEG | standard_1020 | 50 | 0.5-100 Hz bandpass, 50... | Easycap | rtsBCI (MATLAB/Simulink) | 24.7 | right | naive | CC-BY-ND-4.0 | Graz University of Techn... | BNCI Horizon | G. Pfurtscheller | Link | Healthy | Motor | Motor Imagery | GDF | Yes | No | per session | left_hand, right_hand | ||||||||||||
| BNCI2014_008 | P300 / ERP | 8 | 8 | 8 | 2 | 256 | 1 | 1 | patients | 35 | 🇮🇹 IT | 2013 | DOI | Target, NonTarget | row-column intensificati... | visual | visual | synchronous | online | P300 speller with 6x6 ma... | g.MOBILAB | right earlobe | active electrodes | 10-10 | 50 | 0.1-10 Hz bandpass, 50 H... | BCI2000 | amyotrophic lateral scle... | 58 | 40 | 72 | M:5, F:3 | naive | CC-BY-NC-ND-4.0 | Fondazione Santa Lucia | BNCI Horizon | Febo Cincotti | ALS | P300 | ERP | Unknown | No | No | 7 | per subject (7 words, 5... | 36 | 10 | 125 | 250 | ||||||||
| BNCI2014_009 | P300 / ERP | 10 | 16 | 16 | 2 | 256 | 16 | 3 | 1 | healthy | 18 | 🇮🇹 IT | 2014 | DOI | Target, NonTarget | visual_intensification | visual | none | synchronous | offline | P300-based BCI with two... | g.USBamp | linked earlobes | Ag/AgCl | 10-10 | 50 | bandpass 0.1-20 Hz | Electro-Cap Internationa... | BCI2000 | 26.8 | female:10, male:0 | experienced | CC-BY-NC-ND-4.0 | Fondazione Santa Lucia I... | BNCI Horizon | F Cincotti | Healthy | Visual | P300, ERP | MAT | No | No | 3 | 6 trials × 3 runs per se... | 36 | 8 | 125 | 250 | |||||||||
| BNCI2015_001 | Motor Imagery | 12 | 13 | 13 | 2 | 512 | 11 | 2 | 1 | healthy | 200 | 🇦🇹 AT | 2012 | DOI | right_hand, feet | cursor_feedback | visual | visual | synchronous | training | Two-class motor imagery:... | g.tec | Car | active electrode | 10-20 | 50 | 50 Hz notch | g.tec | Matlab | 24.8 | male:7, female:5 | all right-handed | naive | CC-BY-NC-ND-4.0 | Graz University of Techn... | BNCI Horizon | Reinhold Scherer | Healthy | Motor | Motor | gdf | No | No | per_session | right_hand_palmar_grip,... | ||||||||||||
| BNCI2015_003 | P300 / ERP | 10 | 8 | 8 | 2 | 256 | 1 | 2 | patients | 48 | 🇩🇪 DE | 2011 | DOI | Target, NonTarget | spatial_auditory | auditory | auditory | synchronous | online | Auditory Multi-class Spa... | BrainAmp | nose | Ag/AgCl electrodes | standard_1005 | 50 | hardware analog band-pas... | Brain Products | Matlab | Healthy | 34.1 | 20 | 57 | naive | CC-BY-NC-ND-4.0 | Berlin Institute of Tech... | BNCI Horizon | Michael Tangermann | Healthy | Auditory | ERP, P300 | gdf | Yes | No | calibration_phase | 6 | 175 | |||||||||||
| BNCI2015_004 | Motor Imagery | 9 | 30 | 30 | 5 | 256 | 11 | 2 | 1 | patients | 40 | 🇪🇸 ES | 2015 | DOI | math, letter, rotation,... | visual cue | visual | none | synchronous | screening | Five mental tasks: word... | g.tec | left and right mastoid | active electrode | 10-20 | 50 | 0.5-100 Hz bandpass, 50... | g.tec | stroke and spinal cord i... | 38 | 20 | 57 | male:2, female:7 | not specified | naive | CC-BY-NC-ND-4.0 | Institut Guttmann | BNCI Horizon 2020 | Reinhold Scherer | Link | Stroke, Spinal Cord Inju... | Motor, Cognitive | Motor, Cognitive | gdf | Yes | No | 8 | per_class_per_day | right_hand, feet, word_a... | ||||||||
| BNCI2015_006 | P300 / ERP | 11 | 64 | 64 | 2 | 200 | 40 | 1 | 1 | patients | 3-7 deviants per instrum... | 🇩🇪 DE | 2014 | DOI | Target, NonTarget | musical oddball | auditory | none | asynchronous | offline | Multi-streamed musical o... | Brain Products | left mastoid | active electrode | 10-10 | 50 | {'bandpass': [0.016, 250... | Brain Products | Healthy | 28 | 21 | 50 | male:7, female:4 | all but one right-handed | naive | CC-BY-NC-ND-4.0 | Technische Universität B... | GitHub | B Blankertz | Link | Healthy | Auditory | Perception, Attention | gdf | No | No | 10 | per_instrument_per_clip | 3 | ||||||||
| BNCI2015_007 | P300 / ERP | 16 | 63 | 63 | 2 | 100 | 30 | 1 | 2 | patients | 120 | 🇩🇪 DE | 2012 | DOI | Target, NonTarget | motion VEP (mVEP) | visual | visual | synchronous | online | Three different Cake Spe... | BrainAmp EEG amplifier | linked mastoids | active electrode | 10-10 | 50 | hardware bandpass filter... | Brain Products | Pyff, VisionEgg, MATLAB | Healthy | 23.8 | 21 | 30 | male:10, female:6 | normal or corrected-to-n... | naive | CC-BY-NC-ND-4.0 | Berlin Institute of Tech... | BNCI Horizon | Benjamin Blankertz | Healthy | Visual | P300, VEP | gdf | No | No | 4 | per_selection (2 levels... | 6 | 10 | 100 | 200 | |||||
| BNCI2015_008 | P300 / ERP | 13 | 63 | 63 | 2 | 250 | 30 | 1 | 2 | patients | 60 intensifications per... | 🇩🇪 DE | 2011 | DOI | Target, NonTarget | visual_flash | visual | none | synchronous | online | Two-stage visual speller... | Brain Products actiCAP | left mastoid | active electrode | 10-10 | 50 | 0.016-250 Hz bandpass | Brain Products | Healthy | 27 | 16 | 45 | male:8, female:5 | right:12, left:1 | naive | CC-BY-NC-ND-4.0 | Berlin Institute of Tech... | GitHub | Link | Healthy | Visual | ERP, P300 | gdf | No | No | per_stage | 30 | 10 | 200 | ||||||||
| BNCI2015_009 | P300 / ERP | 21 | 60 | 60 | 2 | 250 | 0.8 | 1 | 2 | patients | varied by condition | 🇩🇪 DE | 2010 | DOI | Target, NonTarget | auditory_spatial | auditory | none | synchronous | offline | Offline auditory oddball... | Brain Products 128-chann... | nose | Ag/AgCl electrodes | 10-20 | 50 | 0.1-250 Hz analog bandpa... | Matlab | Healthy | 30.3 | 22 | 55 | male:6, female:4 | unknown | mixed | CC-BY-NC-ND-4.0 | Berlin Institute of Tech... | BNCI Horizon | Michael Tangermann | Healthy | Auditory | P300 | gdf | Yes | No | 50 | BCI experiments: C300 (5... | 5 | 15 | 300 | |||||||
| BNCI2015_010 | P300 / ERP | 12 | 63 | 63 | 2 | 200 | 46.5 | 1 | 2 | patients | 10 sequences of 30 symbo... | 🇩🇪 DE | 2013 | DOI | Target, NonTarget | RSVP letters | visual | visual | synchronous | online | RSVP (Rapid Serial Visua... | BrainAmp amplifiers | left mastoid | active electrode | 10-20 | 50 | lowpass Chebyshev filter... | Brain Products | Python with Pyff framewo... | Healthy | 29.17 | 24 | 55 | male:6, female:6 | all right-handed | mixed | CC-BY-NC-ND-4.0 | Berlin Institute of Tech... | BNCI Horizon | Benjamin Blankertz | Healthy | Visual | ERP | EEG | No | No | 3 | per sequence | 30 | 10 | 116 | ||||||
| BNCI2015_012 | P300 / ERP | 10 | 63 | 63 | 2 | 250 | 1 | 2 | patients | 27 | 🇩🇪 DE | 2011 | DOI | Target, NonTarget | auditory tones | auditory | visual | synchronous | online | Nine-class auditory ERP... | Brain Products | nose | wet Ag/AgCl electrodes | 10-20 | 50 | 0.1-250 Hz analog bandpa... | EasyCap GmbH | Matlab | Healthy | 25.1 | 21 | 34 | male:9, female:3 | mostly naive | CC-BY-NC-ND-4.0 | Berlin Institute of Tech... | BNCI Horizon | Michael Tangermann | Healthy | Auditory | ERP, P300 | gdf | Yes | No | total across all calibra... | 708, 524, 380 | 9 | 15 | 125 | 225 | |||||||
| BNCI2015_013 | P300 / ERP | 6 | 64 | 64 | 2 | 512 | 2 | 20 | 1 | patients | ~50 trials per block, ~6... | 🇨🇭 CH | 2010 | DOI | Target, NonTarget | cursor_movement | visual | visual | synchronous | offline | Error-related potential... | Biosemi ActiveTwo | active | standard_1020 | 50 | Healthy | 27.83 | male:5, female:1 | not reported | not reported | CC-BY-NC-ND-4.0 | Ecole Polytechnique Fédé... | BNCI Horizon | José del R. Millán | Healthy | Cognitive | ErrP | matlab | No | No | 10 | per_block | |||||||||||||||
| BNCI2016_002 | P300 / ERP | 15 | 59 | 59 | 2 | 200 | 3 | 1 | 1 | healthy | ~99 emergency braking ev... | 🇩🇪 DE | 2011 | DOI | Target, NonTarget | emergency_braking_scenar... | visual | visual (colored circle i... | asynchronous | online | Participants drove a vir... | BrainAmp | nose | Ag/AgCl | extended 10-20 | 50 | {'highpass_hz': 0.1, 'lo... | Easycap | TORCS | 30.6 | male:14, female:4 | right-handed | naive | CC-BY-NC-ND-4.0 | Berlin Institute of Tech... | BNCI Horizon | Benjamin Blankertz | Healthy | Visual, Multisensory | Driving, Neuroergonomics | .mat | Yes | Yes | 3 | Emergency braking events... | ||||||||||||
| BNCI2019_001 | Motor Imagery | 10 | 61 | 61 | 5 | 256 | 5 | 1 | 9 | patients | 360 | 🇦🇹 AT | 2019 | DOI | supination, pronation, h... | visual cue | visual | visual feedback (online... | synchronous | both | motor imagery and attemp... | g.tec | left earlobe | active electrode | 10-5 | 50 | 50 Hz notch, 0.01-100 Hz... | g.tec medical engineerin... | EEGlab 14.1.1b | spinal cord injury | 49.8 | 20 | 78 | male:9, female:1 | right-handed (all partic... | CC-BY-4.0 | Graz University of Techn... | Zenodo | Gernot R. Müller-Putz | Link | Spinal Cord Injury | Motor | Motor | GDF | Yes | No | 9 | total per subject (72 tr... | hand_open, palmar_grasp,... | ||||||||
| BNCI2020_001 | Motor Imagery | 45 | 58 | 58 | 3 | 256 | 1 | 1 | healthy | 80 | 🇦🇹 AT | 2020 | DOI | palmar_grasp, lateral_gr... | physical objects (jar, s... | visual | visual (screen showing n... | self-paced | execution | self-initiated reach-and... | g.tec USBamp/g.tec Ladyb... | right earlobe | Gel-based active electro... | 5% grid system | 50 | 8th order Chebyshev filt... | 15 | 30 | male:10, female:5 | right-handed | CC-BY-4.0 | Institute of Neural Engi... | BNCI Horizon 2020 | Gernot R. Müller-Putz | Link | Healthy | Visual | Execution | MAT | Yes | No | 4 | per_class | 2 | palmar grasp, lateral gr... | ||||||||||||
| BNCI2020_002 | P300 / ERP | 18 | 30 | 30 | 2 | 250 | 1 | 1 | healthy | 24 | 🇩🇪 DE | 2020 | DOI | NonTarget, Target | colored crosses (green +... | visual | visual (yes/no text) | synchronous | online | BrainAmp DC Amplifier | right mastoid | Ag/AgCl electrodes | extended 10-20 | 50 | 0.1 Hz highpass | Brain Products GmbH | 27 | 19 | 38 | male:8, female:10 | CC-BY-4.0 | Leibniz Institute for Ne... | BNCI Horizon | Stefan Dürschmid | Link | Healthy | Visual | Attention | MAT | Yes | No | 7 | per_block | 2 | 10 | 850 | |||||||||||
| BNCI2022_001 | Motor Imagery | 13 | 64 | 64 | 4 | 256 | 90 | 1 | 1 | patients | offline_session: 32 traj... | 🇨🇭 CH | 2021 | DOI | trajectory_start, waypoi... | visual | visual | visual | cue-based | both | Subjects piloted a simul... | Biosemi ActiveTwo | car | active | 10-10 | 50 | EEGLAB | normal or corrected-to-n... | 22.6 | female:8, male:5 | right:12, left:1 | CC-BY-4.0 | Ecole Polytechnique Fede... | BNCI Horizon | Jose del R. Millan | Healthy | EEG | Experimental/Research | gdf | Yes | No | 2 | Offline session: v-shape... | right_hand, left_hand, f... | |||||||||||||
| BNCI2024_001 | Motor Imagery | 20 | 60 | 60 | 10 | 500 | 8.5 | 1 | 2 | healthy | 60 | 🇦🇹 AT | 2024 | DOI | letter_a, letter_d, lett... | letter cue | visual | Training included visual... | offline | Handwritten character ta... | BrainVision | right mastoid | active electrodes | eogl1 eogl2 eogl3 eogr1... | 50 | 50 Hz notch | Brain Products GmbH | EEGLAB | 27.5 | male:11, female:11 | right:22 | not specified | CC-BY-4.0 | Graz University of Techn... | BNCI Horizon 2020 | Gernot R. Müller-Putz | Link | Healthy | Motor | Motor | MAT | Yes | No | 15 | per_class | handwriting of letters a... | |||||||||||
| BNCI2025_001 | Motor Imagery | 20 | 67 | 67 | 16 | 500 | 1 | 1 | patients | 960 | 🇦🇹 AT | 2024 | DOI | up_slow_near, up_slow_fa... | visual cue | visual | visual (cue color: green... | cue-paced | both | Four-direction center-ou... | BrainAmp | common average | EEG | af7 af3 afz af4 af8 f7 f... | 50 | 50 Hz notch | Zebris Medical GmbH | EEGLAB | Healthy | 26.1 | male:12, female:8 | right:17, left:3 | CC-BY-4.0 | Institute of Neural Engi... | GitHub | Gernot R Müller-Putz | Link | Healthy | Visual | Motor | EEG (BrainAmp) | Yes | No | 10 | per_participant (before... | 4 | right_hand_reaching | ||||||||||
| BNCI2025_002 | Motor Imagery | 10 | 60 | 60 | 3 | 200 | 23 | 3 | 3 | patients | calibration_eyeruns: 38,... | 🇦🇹 AT | 2022 | DOI | snakerun, freerun, eyeru... | visual targets (white sn... | visual | visual (green dot showin... | continuous | attempted movement | Attempted movement parad... | actiCAP, Brain Products... | right mastoid | EEG | af7 af3 afz af4 af8 f7 f... | 50 | anti-aliasing 25 Hz, not... | MATLAB 2015b, Psychtoolb... | Healthy (able-bodied par... | 24 | male:5, female:5 | right:10 | naive BCI users in terms... | CC-BY-4.0 | Institute of Neural Engi... | GitHub | Gernot R Müller-Putz | Link | Healthy, Spinal cord inj... | Visual | Motor attempt, Continuou... | gdf | Yes | No | per_paradigm_type | attempted arm/hand movem... | |||||||||||
| Beetl2021_A | Motor Imagery | 3 | 63 | 63 | 4 | 500 | 4 | 1 | 2 | healthy | 🇬🇧 GB | 2022 | DOI | rest, left_hand, right_h... | visual | online | online_bci_game | EEG | standard_1005 | 50 | 1-100 Hz bandpass, 50 Hz... | CC-BY-4.0 | Multiple institutions | beetl.ai | A. Aldo Faisal | Link | Healthy | Motor | Research | NPY | No | No | Data collected during Cy... | rest, left_hand, right_h... | |||||||||||||||||||||||
| Beetl2021_B | Motor Imagery | 2 | 32 | 32 | 4 | 200 | 4 | 1 | 2 | healthy | 🇬🇧 GB | 2022 | left_hand, right_hand, f... | synchronous | offline | cross-dataset transfer l... | EEG | standard_1005 | 50 | Bandpass filter (1-100 H... | CC-BY-4.0 | Imperial College London | beetl.ai | A. Aldo Faisal | Link | Healthy | Motor | Research | numpy | No | No | Training and testing dat... | left_hand, right_hand, f... | ||||||||||||||||||||||||
| Brandl2020 | Motor Imagery | 16 | 63 | 63 | 2 | 1000 | 4.5 | 1 | 7 | healthy | 504 | 🇩🇪 DE | 2020 | DOI | left_hand, right_hand | auditory | auditory | auditory | cue-based | online | Motor imagery under dist... | 2x BrainAmp (Brain Produ... | nose | Ag/AgCl wet | standard_1005 | 50 | EasyCap | BBCI Toolbox (MATLAB) | 26.3 | female:6, male:10 | mostly naive (3/16 had p... | CC-BY-NC-ND-4.0 | Technische Universitaet... | DepositOnce TU Berlin | Benjamin Blankertz | Link | Healthy | Motor | Motor Imagery | MAT (HDF5 v7.3) | No | No | 7 | 7 runs per subject: 1 ca... | left_hand, right_hand | ||||||||||||
| CastillosBurstVEP100 | c-VEP | 12 | 32 | 32 | 2 | 500 | 2.2 | 1 | 1 | healthy | 60 | 🇫🇷 FR | 2023 | DOI | 0, 1 | visual | visual | none | synchronous | offline | factorial within-subject | BrainProducts LiveAmp 32 | FCz | eeg | standard_1020 | 50 | {'notch': {'freq': 50.0,... | BrainProducts | 30.6 | female:4, male:8 | CC-BY-4.0 | Institut Supérieur de l'... | Zenodo | Frédéric Dehais | Link | Healthy | EEG | reactive BCI, c-VEP, vis... | EEGLAB .set | No | No | 15 | 15 blocks x 4 trials per... | burst | 4 | ||||||||||||
| CastillosBurstVEP40 | c-VEP | 12 | 32 | 32 | 2 | 500 | 2.2 | 1 | 1 | healthy | 60 | 🇫🇷 FR | 2023 | DOI | 0, 1 | aperiodic visual flashes | visual | none | synchronous | offline | factorial design | BrainProducts LiveAmp 32 | FCz | eeg | standard_1020 | 50 | {'line_noise': 'IIR cut-... | BrainProducts | 30.6 | female:4, male:8 | CC-BY-4.0 | Institut Supérieur de l'... | Zenodo | Frédéric Dehais | Link | Healthy | EEG | reactive BCI, c-VEP | EEGLAB .set | No | No | 15 | 15 blocks x 4 trials per... | 2, 3, 4 | burst | 4 | |||||||||||
| CastillosCVEP100 | c-VEP | 12 | 32 | 32 | 2 | 500 | 2.2 | 1 | 1 | healthy | 60 | 🇫🇷 FR | 2023 | DOI | 0, 1 | visual flashing | visual | none | synchronous | offline | factorial design (code t... | BrainProducts LiveAmp | FCz | EEG | standard_1020 | 50 | BrainProducts | 30.6 | female:4, male:8 | CC-BY-4.0 | Institut Supérieur de l'... | Zenodo | Frédéric Dehais | Link | Healthy | EEG | reactive BCI, visual evo... | EEGLAB .set | No | No | 15 | 15 blocks × 4 trials (on... | m-sequence (maximum-leng... | 4 | |||||||||||||
| CastillosCVEP40 | c-VEP | 12 | 32 | 32 | 2 | 500 | 2.2 | 1 | 1 | healthy | 60 | 🇫🇷 FR | 2023 | DOI | 0, 1 | visual flicker | visual | none | synchronous | offline | factorial design | BrainProducts LiveAmp 32 | FCz | EEG | standard_1020 | 50 | {'line_noise_filter': 'I... | BrainProducts | 30.6 | female:4, male:8 | CC-BY-4.0 | Institut Supérieur de l'... | Zenodo | Frédéric Dehais | Link | Healthy | EEG | reactive, code-VEP, visu... | EEGLAB .set | No | No | 15 | 15 blocks x 4 trials per... | m-sequence | 4 | ||||||||||||
| Cattan2019_PHMD | Resting State | 12 | 16 | 16 | 2 | 512 | 60 | 1 | 1 | healthy | 🇫🇷 FR | 2019 | DOI | off, on | visual fixation marker | auditory | none | focus on the marker and... | g.USBamp | right earlobe | wet | standard_1020 | 50 | no digital filter | EasyCap | OpenViBE | 26.25 | male:9, female:3 | CC-BY-4.0 | GIPSA-lab, CNRS, Univers... | Zenodo | M. Congedo | Link | Healthy | EEG | Resting State | mat and csv | No | No | 10 | 5 blocks with smartphone... | ||||||||||||||||
| Cattan2019_VR | P300 / ERP | 21 | 16 | 16 | 2 | 512 | 1 | 60 | healthy | target: 120, non_target:... | 🇫🇷 FR | 2019 | DOI | Target, NonTarget | flashing white crosses i... | visual | visual | offline | randomized session order... | g.USBamp (g.tec, Schiedl... | right earlobe | wet electrodes | 10-10 | 50 | no digital filter applie... | EasyCap | OpenVibe | 26.38 | 19 | 44 | male:14, female:7 | varied gaming experience... | CC-BY-4.0 | GIPSA-lab | Zenodo | Marco Congedo | Link | Healthy | Visual | Perception | mat, csv | No | No | 12 | per session: 12 blocks ×... | 1 | 12 | ||||||||||
| Chailloux2020 | P300 / ERP | 19 | 8 | 8 | 2 | 256 | 1 | 3 | 7 | healthy | varies | 🇲🇽 MX | 2020 | DOI | Target, NonTarget | flash / cartoon face | visual | none | offline | P300 single-option inter... | g.USBamp (g.tec) | right earlobe | g.SCARABEO (passive) | standard_1020 | 60 | 25 | 19 | 33 | male:11, female:8 | CC0 | Tecnologico de Monterrey | Link | Healthy | ERP | P300 | BrainVision | No | No | ~198 flashes per block,... | 75 | 150 | ||||||||||||||||
| Chang2025 | Motor Imagery | 28 | 59 | 59 | 3 | 1000 | 6 | 4 | 1 | healthy | 13440 | 🇨🇳 CN | 2025 | DOI | left_hand, right_hand, b... | visual cue (square) | visual | none | synchronous | offline | 6 rehabilitation paradig... | Neuracle BRK-NSW 2.0 | Ag/AgCl | standard_1005 | 50 | {} | 20 | 33 | female:14, male:14 | right-handed | CC-BY-4.0 | Lanzhou Jiaotong Univers... | Link | Healthy | Motor | Research | SET (EEGLAB) | No | No | 28 subjects x 4 MI sessi... | left_hand, right_hand, b... | ||||||||||||||||
| Chen2017SingleFlicker | SSVEP | 12 | 32 | 32 | 4 | 512 | 2 | 1 | healthy | 🇩🇪 DE | 2017 | DOI | north, east, west, south | single-flicker spatially... | visual | visual | synchronous | online | Spatial navigation with... | BioSemi ActiveTwo | CMS/DRL | active | biosemi32 | 50 | BioSemi | 23.5 | 19 | 32 | male:5, female:7 | CC BY 4.0 | University Medical Cente... | Zenodo | Alexander Maye | Link | healthy | visual | perception | XDF/MAT | No | No | 15 | ||||||||||||||||
| Cho2017 | Motor Imagery | 52 | 68 | 64 | 2 | 512 | 3 | 1 | 1 | healthy | 100 or 120 per class (20... | 🇰🇷 KR | 2017 | DOI | left_hand, right_hand | visual instruction | visual | none | offline | motor imagery | Biosemi ActiveTwo | CMS/DRL | active electrodes | standard_1005 | 60 | BCI2000 3.0.2 | 24.8 | female:19, male:33 | right:50, both:2 | collected via questionna... | CC-BY-4.0 | Gwangju Institute of Sci... | GigaDB | Sung Chan Jun | Link | Healthy | Motor | Research | .mat (MATLAB) | No | Yes | 5 or 6 | per_class | left_hand, right_hand | |||||||||||||
| Dong2023 | SSVEP | 59 | 8 | 8 | 40 | 250 | 4 | 1 | 1 | healthy | 160 | 🇨🇳 CN | 2023 | DOI | 8, 8.2, 8.4, 8.6, 8.8, 9... | JFPM visual flicker | visual | visual | synchronous | offline | NeuSenW (Neuracle) | Fp1 | semi-dry (pre-gelled) | standard_1005 | 50 | 12.4 | 10 | 16 | male:37, female:22 | CC BY-NC 4.0 | Jiangsu JITRI Brain Mach... | Zenodo | Yue Dong | Link | healthy | visual | perception | MAT | No | No | 4 | 8–15.8 Hz (40 freqs) | |||||||||||||||
| Dreyer2023 | Motor Imagery | 87 | 27 | 27 | 2 | 512 | 8 | 1 | 6 | healthy | 240 | 🇫🇷 FR | 2023 | DOI | left_hand, right_hand | blue bar varying in leng... | visual | continuous visual | cue-based | online | Graz protocol | g.USBAmp (g.tec, Austria... | left earlobe | active electrodes | 10-20 | 50 | none (raw signals record... | g.tec | OpenViBE 2.1.0 (Dataset... | 29 | 19 | 59 | female:41, male:46 | right | naive | CC-BY-4.0 | Centre Inria de l'univer... | Zenodo | Fabien Lotte | Link | Healthy | Motor | Motor Imagery | GDF | Yes | Yes | 6 | per subject (120 per cla... | right_hand, left_hand | ||||||||
| Dreyer2023A | Motor Imagery | 60 | 27 | 27 | 2 | 512 | 8 | 1 | 6 | healthy | 240 | 🇫🇷 FR | 2023 | DOI | left_hand, right_hand | blue bar varying in leng... | visual | continuous visual | cue-based | online | Graz protocol | g.USBAmp (g.tec, Austria... | left earlobe | active electrodes | 10-20 | 50 | none (raw signals record... | g.tec | OpenViBE 2.1.0 (Dataset... | 29 | 19 | 59 | female:41, male:46 | right | naive | CC-BY-4.0 | Centre Inria de l'univer... | Zenodo | Fabien Lotte | Link | Healthy | Motor | Motor Imagery | GDF | Yes | Yes | 6 | per subject (120 per cla... | right_hand, left_hand | ||||||||
| Dreyer2023B | Motor Imagery | 21 | 27 | 27 | 2 | 512 | 8 | 1 | 6 | healthy | 240 | 🇫🇷 FR | 2023 | DOI | left_hand, right_hand | blue bar varying in leng... | visual | continuous visual | cue-based | online | Graz protocol | g.USBAmp (g.tec, Austria... | left earlobe | active electrodes | 10-20 | 50 | none (raw signals record... | g.tec | OpenViBE 2.1.0 (Dataset... | 29 | 19 | 59 | female:41, male:46 | right | naive | CC-BY-4.0 | Centre Inria de l'univer... | Osf | Fabien Lotte | Link | Healthy | Motor | Motor Imagery | GDF | Yes | Yes | 6 | per subject (120 per cla... | right_hand, left_hand | ||||||||
| Dreyer2023C | Motor Imagery | 6 | 27 | 27 | 2 | 512 | 8 | 1 | 6 | healthy | 240 | 🇫🇷 FR | 2023 | DOI | left_hand, right_hand | blue bar varying in leng... | visual | continuous visual | cue-based | online | Graz protocol | g.USBAmp (g.tec, Austria... | left earlobe | active electrodes | 10-20 | 50 | none (raw signals record... | g.tec | OpenViBE 2.1.0 (Dataset... | 29 | 19 | 59 | female:41, male:46 | right | naive | CC-BY-4.0 | Centre Inria de l'univer... | Osf | Fabien Lotte | Link | Healthy | Motor | Motor Imagery | GDF | Yes | Yes | 6 | per subject (120 per cla... | right_hand, left_hand | ||||||||
| EPFLP300 | P300 / ERP | 8 | 32 | 32 | 2 | 2048 | 1 | 4 | 6 | mixed | target: 135, non-target:... | 🇨🇭 CH | 2008 | DOI | Target, NonTarget | image_flash | visual | none | offline | Subjects counted silentl... | Biosemi ActiveTwo | active | standard_1020 | 50 | 4 disabled (cerebral pal... | 38.4 | 30 | 56 | male:7, female:1 | no training required | Unknown | Ecole Polytechnique Fédé... | http://bci.epfl.ch/p300 | Karin Diserens | Healthy, Cerebral palsy,... | Visual | Research | MATLAB | No | No | per_session | 6 | 400 | 400 | |||||||||||||
| ErpCore2021 | P300 / ERP | 40 | 30 | 30 | 1024 | 1 | 1 | healthy | 🇺🇸 US | 2021 | DOI | Biosemi ActiveTwo | standard_1005 | 50 | CC BY 4.0 | San Diego State Universi... | Steven J. Luck | Link | No | No | |||||||||||||||||||||||||||||||||||||
| ErpCore2021_ERN | P300 / ERP | 40 | 30 | 30 | 2 | 1024 | 1 | 1 | healthy | 🇺🇸 US | 2021 | DOI | Target, NonTarget | Biosemi ActiveTwo | standard_1005 | 50 | CC-BY-4.0 | San Diego State Universi... | Osf | Steven J. Luck | Link | No | No | ||||||||||||||||||||||||||||||||||
| ErpCore2021_LRP | P300 / ERP | 40 | 30 | 30 | 2 | 1024 | 1 | 1 | healthy | 🇺🇸 US | 2021 | DOI | Target, NonTarget | Biosemi ActiveTwo | standard_1005 | 50 | CC-BY-4.0 | San Diego State Universi... | Osf | Steven J. Luck | Link | No | No | ||||||||||||||||||||||||||||||||||
| ErpCore2021_MMN | P300 / ERP | 40 | 30 | 30 | 2 | 1024 | 1 | 1 | healthy | 🇺🇸 US | 2021 | DOI | Target, NonTarget | Biosemi ActiveTwo | standard_1005 | 50 | CC-BY-4.0 | San Diego State Universi... | Osf | Steven J. Luck | Link | No | No | ||||||||||||||||||||||||||||||||||
| ErpCore2021_N170 | P300 / ERP | 40 | 30 | 30 | 2 | 1024 | 1 | 1 | healthy | 🇺🇸 US | 2021 | DOI | Target, NonTarget | Biosemi ActiveTwo | standard_1005 | 50 | 21.5 | CC-BY-4.0 | San Diego State Universi... | Osf | Steven J. Luck | Link | No | No | |||||||||||||||||||||||||||||||||
| ErpCore2021_N2pc | P300 / ERP | 40 | 30 | 30 | 2 | 1024 | 1 | 1 | healthy | 🇺🇸 US | 2021 | DOI | Target, NonTarget | Biosemi ActiveTwo | standard_1005 | 50 | CC-BY-4.0 | San Diego State Universi... | Osf | Steven J. Luck | Link | No | No | ||||||||||||||||||||||||||||||||||
| ErpCore2021_N400 | P300 / ERP | 40 | 30 | 30 | 2 | 1024 | 1 | 1 | healthy | 🇺🇸 US | 2021 | DOI | Target, NonTarget | Biosemi ActiveTwo | standard_1005 | 50 | CC-BY-4.0 | San Diego State Universi... | Osf | Steven J. Luck | Link | No | No | ||||||||||||||||||||||||||||||||||
| ErpCore2021_P3 | P300 / ERP | 40 | 30 | 30 | 2 | 1024 | 1 | 1 | healthy | 🇺🇸 US | 2021 | DOI | Target, NonTarget | Biosemi ActiveTwo | standard_1005 | 50 | CC-BY-4.0 | San Diego State Universi... | Osf | Steven J. Luck | Link | No | No | ||||||||||||||||||||||||||||||||||
| Forenzo2023 | Motor Imagery | 25 | 64 | 64 | 2 | 1000 | 6 | 5 | 3 | healthy | 1875 | 🇺🇸 US | 2023 | DOI | left_hand, right_hand | continuous pursuit | visual | cursor | synchronous | online | 5-session BCI study with... | Neuroscan Quik-Cap 64-ch... | between Cz and CPz | Ag/AgCl | standard_1005 | 60 | {'lowpass': 200, 'notch_... | 25.5 | female:10, male:15 | right-handed (24 of 25) | mixed (19 naive, 6 exper... | CC-BY-4.0 | Carnegie Mellon Universi... | Link | Healthy | Motor | Research | MAT | No | No | 25 subjects x 5 sessions... | left_hand, right_hand | |||||||||||||||
| Gao2026 | Motor Imagery | 22 | 32 | 32 | 10 | 1000 | 4 | 2 | 3 | healthy | 16800 | 🇨🇳 CN | 2026 | DOI | dog, bird, fish, pentagr... | image cues | visual | none | synchronous | offline | Visual imagery of animal... | Neuracle NeuSenW32 | CPz | Ag/AgCl | standard_1005 | 50 | {'sampling_rate': 1000} | 20 | 23 | male:17, female:5 | CC-BY-NC-ND-4.0 | Kunming University of Sc... | Figshare | Link | Healthy | Visual | Research | BDF | No | No | 20 subjects x 2 sessions... | dog, bird, fish, pentagr... | |||||||||||||||
| GrosseWentrup2009 | Motor Imagery | 10 | 128 | 128 | 2 | 500 | 10 | 1 | 1 | healthy | 150 | 🇩🇪 DE | 2009 | DOI | right_hand, left_hand | arrow_cue | visual | none | synchronous | offline | two-class motor imagery... | BrainAmp | Cz | standard_1020 | 50 | {'highpass_time_constant... | 25.6 | male:8, female:2 | right:8 | mixed | CC-BY-4.0 | Technische Universität M... | Zenodo | Martin Buss | Healthy | Motor | Motor | set | No | No | per_class | left_hand, right_hand | |||||||||||||||
| GuttmannFlury2025_ME | Motor Imagery | 31 | 66 | 64 | 2 | 1000 | 7.5 | 3 | 1 | healthy | 2520 | 🇨🇳 CN | 2025 | DOI | left_hand, right_hand | visual rectangle cue | visual | none | synchronous | offline | Multi-paradigm BCI (MI/M... | Neuroscan Quik-Cap 65-ch... | right mastoid (M1) | Ag/AgCl | standard_1005 | 50 | {'highpass_time_constant... | 28.3 | 20 | 57 | female:11, male:20 | CC0 | Shanghai Jiao Tong Unive... | Healthy | Motor | Research | BDF | No | No | 63 sessions x 40 trials... | left_hand, right_hand | ||||||||||||||||
| GuttmannFlury2025_MI | Motor Imagery | 31 | 66 | 64 | 2 | 1000 | 7.5 | 3 | 1 | healthy | 2520 | 🇨🇳 CN | 2025 | DOI | left_hand, right_hand | visual rectangle cue | visual | none | synchronous | offline | Multi-paradigm BCI (MI/M... | Neuroscan Quik-Cap 65-ch... | right mastoid (M1) | Ag/AgCl | standard_1005 | 50 | {'highpass_time_constant... | 28.3 | 20 | 57 | female:11, male:20 | CC0 | Shanghai Jiao Tong Unive... | Healthy | Motor | Research | BDF | No | No | 63 sessions x 40 trials... | left_hand, right_hand | ||||||||||||||||
| GuttmannFlury2025_P300 | P300 / ERP | 31 | 66 | 64 | 2 | 1000 | 3 | 1 | healthy | 2520 | 🇨🇳 CN | 2025 | DOI | Target, NonTarget | row-column flash | visual | none | synchronous | offline | Multi-paradigm BCI (MI/M... | Neuroscan Quik-Cap 65-ch... | right mastoid (M1) | Ag/AgCl | standard_1005 | 50 | {'highpass_time_constant... | 28.3 | 20 | 57 | female:11, male:20 | CC0 | Shanghai Jiao Tong Unive... | Healthy | ERP | Research | BDF | No | No | 63 sessions x 40 trials... | ||||||||||||||||||
| GuttmannFlury2025_SSVEP | SSVEP | 31 | 66 | 64 | 4 | 1000 | 7 | 3 | 1 | healthy | 3024 | 🇨🇳 CN | 2025 | DOI | 10.0, 11.0, 12.0, 13.0 | flickering LED | visual | none | synchronous | offline | Multi-paradigm BCI (MI/M... | Neuroscan Quik-Cap 65-ch... | right mastoid (M1) | Ag/AgCl | standard_1005 | 50 | {'highpass_time_constant... | 28.3 | 20 | 57 | female:11, male:20 | CC0 | Shanghai Jiao Tong Unive... | Healthy | Visual | Research | BDF | No | No | 63 sessions x 48 trials... | 8, 10, 12, 15 | ||||||||||||||||
| Han2024Fatigue | SSVEP | 24 | 64 | 64 | 32 | 1000 | 2 | 2 | 1 | healthy | 960 per frequency band (... | 🇨🇳 CN | 2024 | DOI | 8, 8.5, 9, 9.5, 10, 10.5... | JFPM visual flicker | visual | none | synchronous | offline | Synamps2 (Neuroscan) | Cz | standard_1005 | 50 | {'bandpass_hz': [0.15, 2... | 18 | 26 | male:12, female:12 | CC BY 4.0 | Tianjin University | Zenodo | Dong Ming | Link | healthy | visual | perception | MAT | No | No | 60 | 6 training + 24 fatigue... | 8–33 Hz (32 freqs) | |||||||||||||||
| HefmiIch2025 | Motor Imagery | 37 | 32 | 32 | 2 | 256 | 27 | 3 | 1 | mixed | 3330 | 🇨🇳 CN | 2025 | DOI | left_hand, right_hand | directional arrow + audi... | visual | none | synchronous | offline | 2-class hand MI (left/ri... | g.HIamp (g.tec medical e... | biosemi32 | 50 | {} | intracerebral hemorrhage... | 20 | 65 | female:8, male:29 | right-handed | CC-BY-NC-ND-4.0 | Huazhong University of S... | Link | Healthy, Stroke | Motor | Clinical, Research | MAT (pre-epoched) | No | No | 37 subjects x ~3 session... | left_hand, right_hand | ||||||||||||||||
| Hinss2021 | Resting State | 15 | 62 | 62 | 4 | 500 | 2 | 1 | healthy | 90 | 🇫🇷 FR | 2023 | DOI | rs, easy, medium, diff | visual display | none | Passive BCI neuroergonom... | ActiCHamp (Brain Product... | Fpz | active Ag/AgCl | standard_1020 | 50 | 23.9 | female:11, male:18 | CC-BY-SA-4.0 | ISAE-SUPAERO, Université... | Zenodo | Raphaëlle N. Roy | Link | Healthy | Cognitive | Research | set | No | No | total | |||||||||||||||||||||
| Huebner2017 | P300 / ERP | 13 | 31 | 31 | 2 | 1000 | 25 | 3 | 9 | healthy | 12852 | 🇩🇪 DE | 2017 | DOI | Target, NonTarget | character matrix | visual | visual | synchronous | online | Visual ERP speller copy-... | BrainAmp DC | nose | passive Ag/AgCl | standard_1020 | 50 | EasyCap | 26 | female:5, male:8 | mostly naive | CC-BY-4.0 | Albert-Ludwigs-Universit... | Zenodo | Michael Tangermann | Link | Healthy | Visual | Research | BrainVision | Yes | No | 68 highlighting events p... | 42 | 250 | |||||||||||||
| Huebner2018 | P300 / ERP | 12 | 31 | 31 | 2 | 1000 | 17 | 3 | 1 | healthy | 35 | 🇩🇪 DE | 2018 | DOI | Target, NonTarget | modified matrix speller... | visual | visual | online | Visual ERP copy-spelling... | BrainAmp DC | nose | Ag/AgCl | extended 10-20 | 50 | EasyCap | BBCI toolbox | 26 | 19 | 31 | female:8, male:4 | mixed | CC-BY-4.0 | University of Freiburg | Zenodo | Link | Healthy | Visual | Research | BrainVision | No | No | 3 | 35 characters per block... | 46 | 150 | 250 | ||||||||||
| Jeong2020 | Motor Imagery | 25 | 71 | 60 | 11 | 1000 | 4 | 3 | 3 | healthy | 41250 | 🇰🇷 KR | 2020 | DOI | reach_forward, reach_bac... | text cues | visual | none | synchronous | offline | 11 intuitive upper-limb... | BrainAmp (BrainProducts... | FCz | actiCap | standard_1005 | 60 | {'highpass': 0.016, 'low... | 24 | 32 | female:10, male:15 | right-handed | naive | CC0-1.0 | Korea University | Link | Healthy | Motor | Research | BrainVision | No | No | 25 subjects x 3 sessions... | reach_forward, reach_bac... | ||||||||||||||
| Kalunga2016 | SSVEP | 12 | 8 | 8 | 4 | 256 | 6 | 1 | 1 | healthy | 32 trials per session (8... | 🇫🇷 FR | 2016 | DOI | 13, 17, 21, rest | flickering | visual | none | synchronous | offline | SSVEP | g.tec MobiLab | right mastoid | EEG | standard_1005 | 50 | CC-BY-4.0 | Universite de Versailles... | Zenodo | Sylvain Chevallier | Link | Healthy | Visual | Perception | fif | No | No | per session | 13, 17, 21 | 3 | |||||||||||||||||
| Kaneshiro2015 | P300 / ERP | 10 | 124 | 124 | 6 | 62.5 | 0.496 | 1 | 1 | healthy | 5184 | 🇺🇸 US | 2015 | DOI | human_body, human_face,... | photograph | visual | none | offline | Visual object recognitio... | EGI Net Amps 300 | average | HydroCel Geodesic Sensor... | GSN-HydroCel-128 | 60 | 21 | 57 | female:3, male:7 | right:9, left:1 | CC-BY-3.0 | Stanford University | Link | Healthy | ERP | Visual ERP | MATLAB | No | No | per subject (72 images x... | ||||||||||||||||||
| Kaya2018 | Motor Imagery | 7 | 19 | 19 | 3 | 200 | 1 | 1 | 1 | healthy | 🇹🇷 TR | 2018 | DOI | left_hand, right_hand, p... | visual arrow cue | visual | none | synchronous | offline | Classical left/right han... | Nihon Kohden EEG-1200 | System 0V (0.55*(C3+C4)) | standard_1020 | 50 | 20 | 35 | male:5, female:2 | CC-BY-4.0 | Mersin University | Figshare | Yuriy Mishchenko | Link | healthy | motor | imagery | MAT | No | No | Variable number of trial... | left_hand, right_hand, p... | |||||||||||||||||
| Kim2025BetaRange | SSVEP | 40 | 31 | 31 | 40 | 1024 | 5 | 6 | 1 | healthy | 240 | 🇰🇷 KR | 2025 | DOI | 14, 15, 16, 17, 18, 19,... | JFPM visual flicker | visual | none | synchronous | offline | BioSemi ActiveTwo | CMS/DRL | active | standard_1005 | 60 | BioSemi | OpenViBE | 22.8 | 20 | 35 | male:25, female:15 | 3 of 40 had prior SSVEP-... | CC BY 4.0 | Gwangju Institute of Sci... | Figshare | Sung Chan Jun | Link | healthy | visual | perception | MAT | No | No | 6 | 14–21.8 Hz (40 freqs) | ||||||||||||
| Kojima2024A | P300 / ERP | 11 | 64 | 64 | 2 | 1000 | 1 | 6 | healthy | 🇯🇵 JP | 2024 | DOI | Target, NonTarget | auditory musical tones | auditory | none | synchronous | offline | within-subject | Brain Amp DC (Brain Prod... | right earlobe | eeg | standard_1020 | 50 | {'bandpass': '0.1 Hz to... | EASYCAP GmbH | 22.5 | 22 | 23 | male:10, female:1 | CC0-1.0 | Shibaura Institute of Te... | Harvard dataverse | Shin'ichiro Kanoh | Link | Healthy | auditory | EEG, P300, BCI | BrainVision | Yes | No | 6 | Each task block had 3 ru... | 3 | 180 | ||||||||||||
| Kojima2024B | P300 / ERP | 15 | 64 | 64 | 2 | 1000 | 90 | 1 | 12 | healthy | ASME-4stream: 600 stimul... | 🇯🇵 JP | 2024 | DOI | Target, NonTarget | auditory tones | auditory | none | synchronous | offline | within-subject compariso... | BrainAmp | right mastoid | EEG | standard_1020 | 50 | EasyCap | 22.8 | 21 | 24 | male:13, female:2 | CC0-1.0 | Shibaura Institute of Te... | Harvard dataverse | Shin'ichiro Kanoh | Link | Healthy | auditory | ERP, P300 | BrainVision | Yes | No | 12 | 12 runs alternating betw... | 4 | 15 | {'ASME-4stream_overall': 150.0, 'ASME-2stream_overall': 300.0, 'within_stream': 600.0} | ||||||||||
| Kumar2024 | Motor Imagery | 18 | 22 | 22 | 2 | 512 | 5 | 6 | 3 | healthy | 20 | 🇺🇸 US | 2024 | DOI | left_hand, right_hand | visual cue and bar feedb... | visual | continuous visual | cue-based | online | Longitudinal BCI trainin... | ANT Neuro eego mylab | CPz | EEG | standard_1020 | 60 | ANT Neuro | 23.22 | female:7, male:11 | naive | CC-BY-4.0 | The University of Texas... | Zenodo | Jose del R. Millan | Link | Healthy | Motor | Motor Imagery | GDF | Yes | No | 6 | 20 trials per run (10 le... | left_hand, right_hand | |||||||||||||
| Lee2019_ERP | P300 / ERP | 54 | 62 | 62 | 2 | 1000 | 2 | 2 | healthy | training: 1980, test: 21... | 🇰🇷 KR | 2019 | DOI | Target, NonTarget | rc_speller | visual | visual | offline | 36-symbol ERP row-column... | BrainAmp | nasion | Ag/AgCl | standard_1005 | 60 | Brain Products | OpenBMI | 29.5 | 24 | 35 | female:25, male:29 | right | mixed | GPL-3.0 | Korea University | GigaDB | Seong-Whan Lee | Healthy | Visual | Perception | MAT | No | Yes | Training: copy-spell 'NE... | 36 | 5 | 135 | 215 | ||||||||||
| Lee2019_MI | Motor Imagery | 54 | 62 | 62 | 2 | 1000 | 4 | 2 | 1 | healthy | 200 | 🇰🇷 KR | 2019 | DOI | left_hand, right_hand | arrow | visual | visual | synchronous | both | Binary-class motor image... | BrainAmp | nasion | Ag/AgCl | standard_1005 | 60 | 24 | 35 | female:25, male:29 | right:50, left:2, ambide... | mixed | GPL-3.0 | Korea University | GigaDB | Seong-Whan Lee | Healthy | Motor | Research | MAT | No | Yes | 100 trials per session p... | left_hand, right_hand | ||||||||||||||
| Lee2019_SSVEP | SSVEP | 54 | 62 | 62 | 4 | 1000 | 4 | 2 | 1 | healthy | 200 | 🇰🇷 KR | 2019 | DOI | 12.0, 8.57, 6.67, 5.45 | flickering_box | visual | visual | synchronous | both | Four-target SSVEP paradi... | BrainAmp | nasion | Ag/AgCl | standard_1005 | 60 | OpenBMI | 24 | 35 | female:25, male:29 | mixed | GPL-3.0 | Korea University | GigaDB | Seong-Whan Lee | Healthy | Visual | Perception | MAT | No | Yes | 100 trials (4 classes ×... | 5.45, 6.67, 8.57, 12 | 4 | |||||||||||||
| Lee2021Mobile_ERP | P300 / ERP | 24 | 73 | 73 | 2 | 100 | 1 | 5 | 1 | healthy | 🇰🇷 KR | 2021 | DOI | Target, NonTarget | visual oddball | visual | synchronous | offline | BCI during motion (stand... | BrainAmp (Brain Product... | FCz | Ag/AgCl | standard_1005 | 60 | 24.5 | 19 | 32 | male:14, female:10 | CC BY 4.0 | Korea University | OSF | Seong-Whan Lee | Link | healthy | visual | perception | BrainVision | Yes | No | ||||||||||||||||||
| Lee2021Mobile_SSVEP | SSVEP | 23 | 73 | 73 | 3 | 100 | 5 | 4 | 1 | healthy | 🇰🇷 KR | 2021 | DOI | 5.45, 8.57, 12.0 | visual flicker | visual | synchronous | offline | BCI during motion (stand... | BrainAmp (Brain Product... | FCz | Ag/AgCl | standard_1005 | 60 | 24.5 | 19 | 32 | male:13, female:10 | CC BY 4.0 | Korea University | OSF | Seong-Whan Lee | Link | healthy | visual | perception | BrainVision | Yes | No | ||||||||||||||||||
| Lee2024_AC | P300 / ERP | 10 | 25 | 25 | 2 | 500 | 1 | 1 | 1 | healthy | 50 training + 30 testing... | 🇰🇷 KR | 2024 | DOI | Target, NonTarget | flash | visual | visual | online | P300 BCI for AC home app... | actiCHamp (Brain Product... | linked mastoids | active | standard_1020 | 60 | 22.4 | male:6, female:4 | CC-BY-4.0 | Ulsan National Institute... | Link | Healthy | ERP | P300 | MATLAB | No | No | per_subject | 750 | |||||||||||||||||||
| Lee2024_BS | P300 / ERP | 14 | 31 | 31 | 2 | 500 | 1 | 1 | 1 | healthy | 50 training + 30 testing... | 🇰🇷 KR | 2024 | DOI | Target, NonTarget | flash | visual | visual | online | P300 BCI for BS home app... | actiCHamp (Brain Product... | linked mastoids | active | standard_1020 | 60 | 22.64 | male:9, female:5 | CC-BY-4.0 | Ulsan National Institute... | Link | Healthy | ERP | P300 | MATLAB | No | No | per_subject | 750 | |||||||||||||||||||
| Lee2024_DL | P300 / ERP | 15 | 31 | 31 | 2 | 500 | 1 | 1 | 1 | healthy | 50 training + 30 testing... | 🇰🇷 KR | 2024 | DOI | Target, NonTarget | flash | visual | visual | online | P300 BCI for DL home app... | actiCHamp (Brain Product... | linked mastoids | active | standard_1020 | 60 | 22.87 | male:12, female:3 | CC-BY-4.0 | Ulsan National Institute... | Link | Healthy | ERP | P300 | MATLAB | No | No | per_subject | 750 | |||||||||||||||||||
| Lee2024_EL | P300 / ERP | 15 | 31 | 31 | 2 | 500 | 1 | 1 | 1 | healthy | 50 training + 30 testing... | 🇰🇷 KR | 2024 | DOI | Target, NonTarget | flash | visual | visual | online | P300 BCI for EL home app... | actiCHamp (Brain Product... | linked mastoids | active | standard_1020 | 60 | 22.13 | male:10, female:5 | CC-BY-4.0 | Ulsan National Institute... | Link | Healthy | ERP | P300 | MATLAB | No | No | per_subject | 750 | |||||||||||||||||||
| Lee2024_TV | P300 / ERP | 30 | 31 | 31 | 2 | 500 | 1 | 1 | 1 | healthy | 50 training + 30 testing... | 🇰🇷 KR | 2024 | DOI | Target, NonTarget | flash | visual | visual | online | P300 BCI for TV home app... | actiCHamp (Brain Product... | linked mastoids | active | standard_1020 | 60 | 21.63 | male:23, female:7 | CC-BY-4.0 | Ulsan National Institute... | Link | Healthy | ERP | P300 | MATLAB | No | No | per_subject | 750 | |||||||||||||||||||
| Liu2020BETA | SSVEP | 70 | 64 | 64 | 40 | 250 | 3 | 1 | 1 | healthy | 160 | 🇨🇳 CN | 2020 | DOI | 8.6, 8.8, 9, 9.2, 9.4, 9... | JFPM visual flicker | visual | visual | synchronous | offline | Synamps2 (Neuroscan) | Cz | standard_1005 | 50 | 25.14 | 9 | 64 | male:42, female:28 | mixed | Non-commercial research... | Tsinghua University | Tsinghua BCI Lab | Xiaorong Gao | Link | healthy | visual | perception | MAT | No | No | 4 | 8–15.8 Hz (40 freqs) | |||||||||||||||
| Liu2022EldBETA | SSVEP | 100 | 64 | 64 | 9 | 1000 | 5 | 7 | 1 | healthy | 63 | 🇨🇳 CN | 2022 | DOI | 8, 9.5, 11, 8.5, 10, 11.... | JFPM visual flicker | visual | visual | synchronous | online | Synamps2 (Neuroscan) | Cz | standard_1005 | 50 | 63.17 | 51 | 81 | male:33, female:67 | CC BY 4.0 | Tsinghua University | Figshare | Xiaogang Chen | Link | healthy | visual | perception | GDF (BIDS) | No | No | 7 | 8–12 Hz (9 freqs) | ||||||||||||||||
| Liu2024 | Motor Imagery | 50 | 29 | 29 | 2 | 500 | 8 | 1 | 1 | patients | 40 | 🇨🇳 CN | 2024 | DOI | left_hand, right_hand | video and audio | none | cue-based | offline | Imagining grasping a sph... | ZhenTec NT1 wireless mul... | CPz | semi-dry Ag/AgCl | 10-10 | 50 | Xi'an ZhenTec Intelligen... | acute stroke patients (1... | 56.7 | 31 | 77 | male:39, female:11 | CC-BY-4.0 | Xuanwu Hospital Capital... | Figshare | Junwei Hao | Link | Stroke | Motor | Motor Imagery | MAT and EDF | Yes | No | 40 trials per subject to... | left_hand, right_hand | |||||||||||||
| Liu2025 | Motor Imagery | 27 | 64 | 60 | 2 | 1000 | 5 | 1 | 4 | patients | 8640 | 🇨🇳 CN | 2025 | DOI | gait_imagery, rest | visual cue | visual | none | synchronous | offline | Binary gait MI vs idle.... | NeuSen W (Neuracle, Inc.... | Ag/AgCl | standard_1020 | 50 | {'notch': 50.0} | stroke | 33 | 68 | male:23, female:4 | mixed | CC-BY-NC-ND-4.0 | Tianjin University | Link | Stroke | Motor | Research | BrainVision (.vhdr/.vmrk... | No | No | 27 subjects x 3 default... | gait_imagery, rest | |||||||||||||||
| MAMEM1 | SSVEP | 11 | 256 | 256 | 5 | 250 | 5 | 1 | 1 | healthy | 1104 | 🇬🇷 GR | 2016 | DOI | 6.66, 7.50, 8.57, 10.00,... | flickering box | visual | none | synchronous | offline | Subjects focus attention... | EGI 300 Geodesic EEG Sys... | GSN-HydroCel-256 | 50 | EGI | able-bodied subjects wit... | 24 | 39 | male:8, female:3 | right:10, left:1 | ODC-By-1.0 | Centre for Research and... | Figshare | Ioannis Kompatsiaris | Link | Healthy | Visual | Perception | MATLAB .mat | No | No | Total 1104 trials across... | 6.66, 7.5, 8.57, 10, 12 | 5 | 3 | ||||||||||||
| MAMEM2 | SSVEP | 11 | 256 | 256 | 5 | 250 | 5 | 1 | 5 | healthy | 1104 | 🇬🇷 GR | 2016 | DOI | 6.66, 7.50, 8.57, 10.00,... | flickering box | visual | none | synchronous | offline | Subjects focus attention... | EGI 300 Geodesic EEG Sys... | Cz | GSN-HydroCel-256 | 50 | EGI | 24 | 39 | male:8, female:3 | right:10, left:1 | ODC-By-1.0 | Centre for Research and... | GitHub | Link | Healthy | Visual | Research | MAT | No | No | Each session includes 23... | 6.66, 7.5, 8.57, 10, 12 | 5 | 3 | |||||||||||||
| MAMEM3 | SSVEP | 11 | 14 | 14 | 5 | 128 | 5 | 1 | 10 | healthy | 1104 | 🇬🇷 GR | 2016 | DOI | 6.66, 7.50, 8.57, 10.00,... | visual | visual | none | synchronous | offline | Subjects focus attention... | EGI 300 Geodesic EEG Sys... | CAR | scalp electrodes | 10-20 | 50 | 5-48 Hz bandpass, 50 Hz... | EGI | Microsoft Visual Studio... | 24 | 39 | male:8, female:3 | right:10, left:1 | naive | ODC-By-1.0 | Centre for Research and... | Figshare | Ioannis Kompatsiaris | Link | Healthy | Visual | Perception | csv | Yes | Yes | Total of 1104 trials (5... | 6.66, 7.5, 8.57, 10, 12 | 5 | |||||||||
| Ma2020 | Motor Imagery | 25 | 62 | 62 | 2 | 1000 | 4 | 15 | 1 | healthy | 600 | 🇨🇳 CN | 2020 | DOI | right_hand, right_elbow | visual cue | visual | none | synchronous | offline | Neuroscan SynAmps2 | standard_1005 | 50 | 25.56 | 23 | 29 | male:18, female:7 | right:25 | naive | CC-BY-4.0 | Chinese Academy of Scien... | Harvard Dataverse | Huiguang He | Link | healthy | motor | imagery | CNT | Yes | No | 15 | 3 days x 5 MI sessions/d... | right_hand, right_elbow | ||||||||||||||
| Mainsah2025_A | P300 / ERP | 13 | 32 | 32 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_B | P300 / ERP | 19 | 16 | 16 | 2 | 256 | 8 | 1 | patients | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | ALS | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | ||||||||||||||||||||||||||||||||
| Mainsah2025_C | P300 / ERP | 19 | 32 | 32 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_D | P300 / ERP | 17 | 32 | 32 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_E | P300 / ERP | 8 | 16 | 16 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_F | P300 / ERP | 10 | 16 | 16 | 2 | 256 | 3 | 1 | patients | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | ALS | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | ||||||||||||||||||||||||||||||||
| Mainsah2025_G | P300 / ERP | 20 | 16 | 16 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_H | P300 / ERP | 16 | 16 | 16 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_I | P300 / ERP | 13 | 16 | 16 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_J | P300 / ERP | 20 | 16 | 16 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_K | P300 / ERP | 5 | 16 | 16 | 2 | 256 | 2 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_L | P300 / ERP | 11 | 16 | 16 | 2 | 256 | 1 | 1 | patients | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | ALS | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | ||||||||||||||||||||||||||||||||
| Mainsah2025_M | P300 / ERP | 21 | 16 | 16 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_N | P300 / ERP | 8 | 16 | 16 | 2 | 256 | 2 | 1 | patients | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | ALS | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | ||||||||||||||||||||||||||||||||
| Mainsah2025_O | P300 / ERP | 18 | 32 | 32 | 2 | 256 | 2 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_P | P300 / ERP | 19 | 32 | 32 | 2 | 256 | 2 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_Q | P300 / ERP | 36 | 32 | 32 | 2 | 256 | 3 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_R | P300 / ERP | 20 | 32 | 32 | 2 | 256 | 2 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_S1 | P300 / ERP | 10 | 32 | 32 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| Mainsah2025_S2 | P300 / ERP | 24 | 32 | 32 | 2 | 256 | 1 | 1 | healthy | 🇺🇸 US | 2025 | DOI | Target, NonTarget | g.USBamp (g.tec) | standard_1020 | 60 | CC-BY-4.0 | Duke University; East Te... | PhysioNet | Link | visual | perception | No | No | |||||||||||||||||||||||||||||||||
| MartinezCagigal2023Checker | c-VEP | 16 | 16 | 16 | 2 | 256 | 8 | 3 | healthy | 🇪🇸 ES | 2023 | DOI | 0.0, 1.0 | standard_1005 | 50 | CC-BY-NC-SA-4.0 | University of Valladolid | U Valladoid | Roberto Hornero | Link | No | No | |||||||||||||||||||||||||||||||||||
| MartinezCagigal2023Pary | c-VEP | 16 | 16 | 16 | 11 | 256 | 5 | 8 | healthy | 🇪🇸 ES | 2023 | DOI | 0.0, 1.0, 2.0, 3.0, 4.0,... | standard_1005 | 50 | CC-BY-NC-SA-4.0 | University of Valladolid | U Valladoid | Roberto Hornero | Link | No | No | |||||||||||||||||||||||||||||||||||
| Nakanishi2015 | SSVEP | 9 | 8 | 8 | 12 | 256 | 4 | 1 | 1 | healthy | 180 | 🇺🇸 US | 2015 | DOI | 9.25, 11.25, 13.25, 9.75... | flickering | visual | none | synchronous | offline | 12-class SSVEP target id... | Biosemi ActiveTwo | CMS/DRL | EEG | standard_1020 | 60 | 28 | male:9, female:1 | not specified | Unknown | University of California... | Github | Link | Healthy | Visual | Research | mat | No | No | 15 | 15 blocks x 12 trials pe... | 9.25–14.75 Hz (12 freqs) | joint frequency and phas... | 12 | |||||||||||||
| Ofner2017 | Motor Imagery | 15 | 61 | 61 | 7 | 512 | 2 | 10 | healthy | 420 | 🇦🇹 AT | 2017 | DOI | right_elbow_flexion, rig... | visual cue | none | synchronous | offline | Trial-based paradigm wit... | g.tec medical engineerin... | right mastoid | active | standard_1005 | 50 | 0.01-200 Hz bandpass (8t... | 27 | 22 | 40 | female:9, male:6 | right:14, left:1 | CC-BY-4.0 | Graz University of Techn... | BNCI Horizon 2020 | Gernot R. Müller-Putz | Link | Healthy | Motor | Motor Imagery, Motor Exe... | gdf | No | No | per_session | elbow_flexion, elbow_ext... | ||||||||||||||
| PhysionetMI | Motor Imagery | 109 | 64 | 64 | 5 | 160 | 1 | 6 | healthy | 🇺🇸 US | 2004 | DOI | left_hand, right_hand, f... | cue-based | visual | visual | cued | both | Multiple BCI paradigms i... | Brain Products | mastoid | EEG | standard_1020 | 60 | BCI2000 | ODC-By-1.0 | Wadsworth Center, New Yo... | Physionet | Jonathan R. Wolpaw | Healthy | Motor | Motor Imagery | edf | No | Yes | left_hand, right_hand, f... | |||||||||||||||||||||
| Rodrigues2017 | Resting State | 19 | 16 | 16 | 2 | 512 | 10 | 1 | 1 | healthy | 10 | 🇫🇷 FR | 2018 | DOI | closed, open | Subjects alternated betw... | g.tec g.USBamp | right earlobe | wet electrodes | standard_1010 | 50 | no digital filter | OpenViBE | 25.8 | female:7, male:13 | CC-BY-4.0 | GIPSA-lab, CNRS, Univers... | Zenodo | Marco Congedo | Link | Healthy | Resting State | Resting-state | No | No | ||||||||||||||||||||||
| RomaniBF2025ERP | P300 / ERP | 22 | 8 | 8 | 2 | 250 | 0.9 | 2 | 1 | healthy | 600 | 🇮🇹 IT | 2025 | DOI | Target, NonTarget | flickering | visual | visual | synchronous | online | Within-subject study wit... | g.tec Unicorn Hybrid Bla... | right mastoid | EEG | standard_1020 | 50 | g.tec | 21.87 | female:10, male:12 | naive | CC-BY-4.0 | University of Trento | GitHub | Luca Turchet | Link | Healthy | ERP | P300 | EDF | No | No | Per calibration session:... | 10 | 100 | |||||||||||||
| Rozado2015 | Motor Imagery | 30 | 32 | 32 | 2 | 512 | 6 | 1 | 2 | healthy | 🇦🇺 AU | 2015 | DOI | left_hand, rest | auditory cue | auditory | none | synchronous | offline | Motor imagery with pupil... | BioSemi ActiveTwo | CMS/DRL | active | biosemi32 | 50 | BioSemi | 38 | 15 | 61 | male:15, female:15 | right:27, left:3 | CC0 1.0 | CSIRO | Harvard Dataverse | David Rozado | Link | healthy | auditory | motor_imagery | XDF | No | No | 2 | 2 experiments of 25 tria... | left hand grasping, rest | ||||||||||||
| Schirrmeister2017 | Motor Imagery | 14 | 128 | 128 | 4 | 500 | 4 | 1 | 2 | healthy | total_per_subject: 963,... | 🇩🇪 DE | 2017 | DOI | right_hand, left_hand, r... | visual | visual | cue-based | offline | Executed movements inclu... | EEG | standard_1005 | 50 | BCI2000 | 27.2 | female:6, male:8 | right:12, left:2 | CC-BY-4.0 | University of Freiburg | GitHub | Tonio Ball | Link | Healthy | Motor | Motor Imagery, Motor Exe... | EDF | No | No | 13 | 13 runs per subject, 80... | left_hand_finger_tapping... | ||||||||||||||||
| Shin2017A | Motor Imagery | 29 | 30 | 30 | 2 | 200 | 10 | 3 | 1 | healthy | per_session: 20, per_cla... | 🇩🇪 DE | 2017 | DOI | left_hand, right_hand | visual arrow and fixatio... | visual | none | cued | offline | Dataset A: left vs right... | BrainAmp | linked mastoids | active electrodes | 10-5 | 50 | EASYCAP GmbH | 28.5 | male:14, female:15 | right:29, left:1 | naive to MI experiment | GPL-3.0 | Berlin Institute of Tech... | GitHub | Klaus-Robert Müller | Link | Healthy | Motor | Imagery | MATLAB | Yes | No | 10 | 10 blocks per session, e... | 20 | left_hand, right_hand | |||||||||||
| Shin2017B | Motor Imagery | 29 | 30 | 30 | 2 | 200 | 10 | 3 | 1 | healthy | per_session: 20, per_con... | 🇩🇪 DE | 2017 | DOI | subtraction, rest | visual instruction (subt... | visual | none | cued-synchronous | offline | Dataset B: mental arithm... | BrainAmp | linked mastoids | active electrodes | 10-5 | 50 | EASYCAP GmbH | MATLAB R2013b | 28.5 | male:14, female:15 | right:29, left:1 | naive to MI experiment | GPL-3.0 | Berlin Institute of Tech... | GitHub | Klaus-Robert Müller | Link | Healthy | Cognitive | Cognitive | MATLAB | Yes | No | Each session: 1 min pre-... | 20 | ||||||||||||
| Simoes2020 | P300 / ERP | 15 | 8 | 8 | 2 | 250 | 1.2 | 7 | 2 | patients | 1600 train + 400*K test... | 🇵🇹 PT | 2020 | DOI | Target, NonTarget | object flash | visual | visual | online | P300 BCI joint-attention... | g.Nautilus (g.tec, wirel... | right ear | standard_1020 | 50 | autism spectrum disorder... | 22.17 | 16 | 38 | male:15 | CC-BY-4.0 | University of Coimbra | Link | Autism | ERP | P300 | MATLAB (epoched) | No | No | per_session | ||||||||||||||||||
| Sosulski2019 | P300 / ERP | 13 | 31 | 31 | 2 | 1000 | 80 | 1 | healthy | Variable: optimization p... | 🇩🇪 DE | 2021 | DOI | Target, NonTarget | oddball | auditory | synchronous | online | Subjects focused attenti... | BrainProducts BrainAmp D... | nose | passive Ag/AgCl | standard_1020 | 50 | 22.7 | 20 | 26 | male:5, female:8 | CC-BY-SA-4.0 | University of Freiburg | FreiDok | Michael Tangermann | Link | Healthy | Auditory | Research | brainvision | Yes | No | Each trial consisted of... | 1 | ||||||||||||||||
| Speier2017 | P300 / ERP | 10 | 32 | 32 | 2 | 256 | 1 | 2 | 3 | healthy | ~1200 flashes per traini... | 🇺🇸 US | 2017 | DOI | Target, NonTarget | flash / famous face over... | visual | visual | online | P300 row-column speller;... | g.tec amplifier | left ear | standard_1005 | 60 | 20 | 35 | CC0 | University of California... | Link | Healthy | ERP | P300 | BCI2000 | No | No | per_run | 25 | 125 | |||||||||||||||||||
| Stieger2021 | Motor Imagery | 62 | 62 | 62 | 4 | 1000 | 11 | 1 | healthy | 450 | 🇺🇸 US | 2021 | DOI | right_hand, left_hand, b... | target_bar | visual | visual | online | longitudinal training st... | Neuroscan SynAmps RT amp... | EEG | 10-10 | 60 | 0.1 to 200 Hz with 60 Hz... | Neuroscan | Neuroscan | 18 | 63 | male:13, female:49 | mostly right-handed | CC-BY-NC-4.0 | Carnegie Mellon Universi... | GitHub | Bin He | Link | Healthy | Motor | Active | MAT | No | No | 18 | per_session | left_hand, right_hand, b... | |||||||||||||
| Tavakolan2017 | Motor Imagery | 12 | 32 | 32 | 3 | 1000 | 3 | 4 | 1 | healthy | 2880 | 🇨🇦 CA | 2017 | DOI | rest, right_hand, right_... | visual cue | visual | none | synchronous | offline | Three-class motor imager... | EGI Geodesic Net Amps 40... | Cz | Ag/AgCl sponge | GSN-HydroCel-32 | 60 | {'bandpass': [0.1, 100]} | CC0-1.0 | Simon Fraser University | Zenodo | Carlo Menon | Link | Healthy | Motor | Research | BCI2000 | No | No | 12 subjects x 4 sessions... | rest, right_hand, right_... | |||||||||||||||||
| Thielen2015 | c-VEP | 12 | 64 | 64 | 2 | 2048 | 4.2 | 1 | 3 | patients | 108 | 🇳🇱 NL | 2015 | DOI | 1.0, 0.0 | pseudo-random noise-code | visual | visual | synchronous | online | 6x6 matrix speller BCI u... | Biosemi ActiveTwo | CMS/DRL | EEG | standard_1020 | 50 | Healthy | 24 | male:4, female:8 | naive | CC0-1.0 | Radboud University Nijme... | GitHub | Peter Desain | Link | Healthy | Visual | Research | mat | No | No | 108 total per subject: 3... | modulated Gold codes | 36 | |||||||||||||
| Thielen2021 | c-VEP | 30 | 8 | 8 | 2 | 512 | 31.5 | 1 | 5 | healthy | 100 | 🇳🇱 NL | 2021 | DOI | 1.0, 0.0 | visual | visual | none | synchronous | offline | Code-modulated visual ev... | Biosemi ActiveTwo | CMS/DRL | sintered Ag/AgCl active... | custom | 50 | 25 | 19 | 62 | female:17, male:13 | CC0-1.0 | Radboud University | Radboud | P Desain | Link | Healthy | Visual | Research | gdf | No | No | 5 | per_subject (5 blocks ×... | modulated Gold codes | 20 | ||||||||||||
| TrianaGuzman2024 | Motor Imagery | 32 | 17 | 17 | 4 | 250 | 15 | 1 | 1 | healthy | 7680 | 🇨🇴 CO | 2022 | DOI | imagery_sit_to_stand, id... | visual figure | visual | none | synchronous | offline | Sit-stand MI paradigm: 2... | g.tec g.Nautilus PRO | right mastoid (M2) | active wet (g.LADYbird) | standard_1020 | 60 | {'bandpass': [0.01, 60]} | 22.4 | 19 | 29 | female:16, male:16 | right:29, left:3 | naive | CC0 | Universidad Antonio Nari... | Link | Healthy | Motor | Research | SET (EEGLAB, BIDS) | No | No | 32 subjects x ~240 trial... | imagery_sit_to_stand, id... | |||||||||||||
| Wairagkar2018 | Motor Imagery | 14 | 19 | 19 | 3 | 1024 | 6 | 1 | 1 | healthy | 1665 | 🇬🇧 GB | 2018 | DOI | right_hand, rest, left_h... | text cues | visual | none | asynchronous | offline | Asynchronous voluntary f... | Deymed TruScan 32 | FCz | Ag/AgCl ring | standard_1020 | 50 | {'highpass': 0.5, 'lowpa... | 26 | female:8, male:6 | mixed (12 right, 2 left) | naive | CC-BY-4.0 | University of Reading | University of Reading Re... | Slawomir J. Nasuto | Link | Healthy | Motor | Research | MAT | No | No | 14 subjects x 120 trials... | right_hand, left_hand, r... | |||||||||||||
| Wang2016 | SSVEP | 34 | 64 | 64 | 40 | 250 | 6 | 1 | 1 | healthy | 240 | 🇨🇳 CN | 2016 | DOI | 8, 9, 10, 11, 12, 13, 14... | visual flicker | visual | synchronous | offline | Cue-guided target select... | Synamps2 EEG system (Neu... | Cz | standard_1005 | 50 | {'bandpass': [0.15, 200]... | 22 | 17 | 34 | female:17, male:18 | 8 experienced, 27 naïve | CC-BY-4.0 | Tsinghua University | BNCI Horizon 2020 | Shangkai Gao | Link | Healthy | Visual | Perception | MATLAB MAT | No | No | 6 | 40 trials per block corr... | 8–15.8 Hz (40 freqs) | 40 | 6 | |||||||||||
| Wang2021Combined | SSVEP | 8 | 31 | 31 | 4 | 1000 | 5 | 1 | 1 | healthy | 🇨🇳 CN | 2021 | DOI | 14.17, 12.14, 9.44, 7.73 | overlapping SSVEP arrows... | visual | none | synchronous | offline | One-to-two combined SSVE... | eego mylab (ANT Neuro) | standard_1005 | 50 | CC BY 4.0 | Shandong University | Zenodo | Zhijun Zhang | Link | healthy | visual | perception | CNT | No | No | 2 | 14.17, 12.14, 9.44, 7.73 | |||||||||||||||||||||
| Weibo2014 | Motor Imagery | 10 | 60 | 60 | 7 | 200 | 8 | 1 | 1 | healthy | 560 | 🇨🇳 CN | 2014 | DOI | left_hand, right_hand, h... | text cues | visual | none | synchronous | offline | Simple limb motor imager... | Neuroscan SynAmps2 | nose | Ag/AgCl | standard_1005 | 50 | {'bandpass': [0.5, 100],... | 24 | 23 | 25 | female:7, male:3 | right-handed | naive | CC0-1.0 | Tianjin University | Harvard Dataverse Databa... | Dong Ming | Link | Healthy | Motor | Research | MAT | Yes | No | 8 sections with 60 trial... | left_hand, right_hand, f... | |||||||||||
| Wu2020 | Motor Imagery | 6 | 122 | 122 | 2 | 1000 | 4 | 1 | 1 | healthy | 1114 | 🇭🇰 HK | 2020 | DOI | left_hand, right_hand | arrow cues | visual | none | synchronous | offline | Motor execution (fist cl... | Neuroscan SynAmps2 | scalp REF | Ag/AgCl | standard_1005 | 50 | {'bandpass': [0.5, 100]} | 25 | 22 | 28 | female:4, male:2 | right-handed | CC-BY-4.0 | City University of Hong... | Zenodo | Link | Healthy | Motor | Research | Curry | No | No | S1: 240, S2: 160, S3: 16... | left_hand, right_hand | |||||||||||||
| Yang2025 | Motor Imagery | 51 | 59 | 59 | 2 | 1000 | 7.5 | 3 | 1 | healthy | 39600 | 🇨🇳 CN | 2025 | DOI | left_hand, right_hand | video cues | visual | none | synchronous | offline | Multi-day MI-BCI: 2C (le... | Neuracle NeuSen W | Ag/AgCl | standard_1005 | 50 | {} | 17 | 30 | female:18, male:44 | right-handed | naive | CC-BY-4.0 | Shanghai University | Link | Healthy | Motor | Research | BDF | No | No | 51 subjects x 3 sessions... | left_hand, right_hand, f... | |||||||||||||||
| Yi2025 | Motor Imagery | 18 | 62 | 62 | 8 | 1000 | 4 | 1 | 8 | healthy | 320 | 🇨🇳 CN | 2025 | DOI | hand_open_close, wrist_f... | video + text | visual | none | cue-based | offline | 8-class multi-joint uppe... | Neuroscan SynAmps2 | left mastoid (M1) | standard_1005 | 50 | 22 | 27 | female:10, male:8 | right | naive | CC-BY-NC-ND-4.0 | Beijing University of Te... | Link | Healthy | Motor | Motor Imagery | CNT | No | No | 8 | 8 blocks x 40 trials (5... | hand_open_close, wrist_f... | |||||||||||||||
| Zhang2017 | Motor Imagery | 12 | 17 | 17 | 10 | 1000 | 5 | 1 | 15 | healthy | 330 | 🇨🇦 CA | 2017 | DOI | rest, elbow_flexion, dra... | picture cues | visual | none | synchronous | offline | Upper-limb elbow-centere... | EGI Geodesic Net Amps 40... | Cz | Ag/AgCl sponge | 60 | {'bandpass': [0.1, 40]} | BCI2000 (Stimulus Presen... | 20 | 33 | male:10, female:2 | right:11, left:1 | naive | CC BY 4.0 | Simon Fraser University | Figshare | Carlo Menon | Link | Healthy | Motor | Research | BCI2000 | No | No | 15 runs of 24 trials eac... | elbow_flexion, drawer, s... | ||||||||||||
| Zhang2025 | P300 / ERP | 15 | 57 | 57 | 2 | 1000 | 1 | 4 | 4 | healthy | ~160 target + ~6240 nont... | 🇨🇳 CN | 2025 | DOI | Target, NonTarget | RSVP face images | visual | none | offline | RSVP face authentication... | Neuracle Neusen | CPz | standard_1020 | 50 | 22 | 26 | female:6, male:9 | all right-handed | CC-BY-NC-ND-4.0 | Beijing University of Po... | Link | Healthy | ERP | RSVP | MATLAB (HDF5) | No | No | per session (4 blocks x... | 100 | ||||||||||||||||||
| Zheng2020 | P300 / ERP | 14 | 62 | 62 | 2 | 1000 | 1 | 2 | 3 | healthy | target: 168, nontarget:... | 🇨🇳 CN | 2020 | DOI | Target, NonTarget | RSVP images | visual | visual | offline | RSVP target detection (h... | Neuroscan Synamps2 | vertex (Cz) | standard_1020 | 50 | 24.9 | 23 | 29 | female:10, male:4 | all right-handed | CC-BY-4.0 | Chinese Academy of Scien... | Link | Healthy | ERP | RSVP | MATLAB | No | No | per subject across both... | 100 | |||||||||||||||||
| Zhou2016 | Motor Imagery | 4 | 14 | 14 | 3 | 250 | 10 | 3 | 2 | healthy | 75 | 🇨🇳 CN | 2016 | DOI | left_hand, right_hand, f... | visual arrow and beep | visual | none | offline | Three-class motor imager... | left mastoid | EEG | standard_1020 | 50 | 0.1-100 Hz bandpass, 50... | 22 | 28 | male:1, female:3 | experienced | CC-BY-4.0 | Anhui University | Zenodo | Xiaopei Wu | Link | Healthy | Motor | Research | No | No | per_run | right_hand, left_hand, f... | ||||||||||||||||
| Zhou2020 | Motor Imagery | 20 | 41 | 41 | 4 | 500 | 5 | 7 | 6 | healthy | 33600 | 🇨🇳 CN | 2021 | DOI | left_hand, right_hand, f... | arrow cues | visual | none | synchronous | offline | 7-day longitudinal MI-BC... | Neuroscan SynAmps2 | vertex (Cz) | Ag/AgCl | standard_1005 | 50 | {'bandpass': [0.5, 100],... | 23.2 | 21 | 27 | female:9, male:11 | right-handed | mixed | CC-BY-4.0 | Zhejiang University | Zenodo | Link | Healthy | Motor | Research | NPZ | No | No | 20 subjects x 7 sessions... | left_hand, right_hand, f... | ||||||||||||
| Zuo2025 | Motor Imagery | 30 | 30 | 30 | 2 | 500 | 4 | 5 | 1 | patients | 500 | 🇨🇳 CN | 2025 | DOI | left_leg, right_leg | visual | visual | none | cue-based | offline | 2-class lower-limb MI (l... | ZhenTec EEG system | CPz | standard_1005 | 50 | knee_pain | 33.5 | 24 | 45 | female:12, male:18 | CC-BY-4.0 | Air Force Medical Center... | Link | Knee Pain | Motor | Clinical, Motor Imagery | MAT | No | No | 5 sessions x 100 trials... | left_leg, right_leg |
Datasets overview:
A visual overview of all datasets can be generated using the functions moabb.datasets.utils.plot_datasets_grid()
or moabb.datasets.utils.plot_datasets_cluster().
This overview allows to quickly compare the number of subjects, trials, and sessions across different datasets.
The function will generate a figure like this:
Per-Paradigm Detail Tables#
The tables below provide paradigm-specific details (trial counts, epoch structure, etc.) that differ across paradigm types.
Column definitions:
Dataset is the name of the dataset.
#Subj is the number of subjects.
#Chan is the number of EEG channels.
#Trials / class is the number of repetitions performed by one subject for each class. This number is computed using only the first subject of each dataset. The definitions of a **class* and of a trial depend on the paradigm used (see sections below)*.
Trials length is the duration of trial in seconds.
Total_trials is the total number of trials in the dataset (all subjects and classes together).
Freq is the sampling frequency of the raw data.
#Session is the number of sessions per subject. Different sessions are often recorded on different days.
#Runs is the number of runs per session. A run is a continuous recording of the EEG data. Often, the different runs of a given session are recorded without removing the EEG cap in between.
Motor Imagery#
Motor Imagery is a BCI paradigm where the subject imagines performing movements. Each movement is associated with a different command to build an application.
Motor Imagery-specific definitions:
#Classes is the number of different imagery tasks.
Trial is one repetition of the imagery task.
Dataset |
#Subj |
#Chan |
#Classes |
#Trials / class |
Trials length (s) |
Freq (Hz) |
#Sessions |
#Runs |
Total_trials |
|---|---|---|---|---|---|---|---|---|---|
8 |
16 |
3 |
20 |
3.0 |
512 |
1 |
1 |
480 |
|
5 |
118 |
2 |
84 |
3.5 |
100 |
1 |
1 |
1400 |
|
9 |
22 |
4 |
144 |
4.0 |
250 |
2 |
6 |
62208 |
|
14 |
15 |
2 |
80 |
5.0 |
512 |
1 |
8 |
17920 |
|
9 |
3 |
2 |
360 |
4.5 |
250 |
5 |
1 |
32400 |
|
12 |
13 |
2 |
200 |
5.0 |
512 |
3 |
1 |
14400 |
|
9 |
30 |
5 |
80 |
7.0 |
256 |
2 |
1 |
7200 |
|
52 |
64 |
2 |
100 |
3.0 |
512 |
1 |
1 |
9800 |
|
54 |
62 |
2 |
100 |
4.0 |
1000 |
2 |
1 |
11000 |
|
10 |
128 |
2 |
150 |
7.0 |
500 |
1 |
1 |
3000 |
|
14 |
128 |
4 |
120 |
4.0 |
500 |
1 |
2 |
13440 |
|
15 |
61 |
7 |
60 |
3.0 |
512 |
1 |
10 |
63000 |
|
109 |
64 |
4 |
23 |
3.0 |
160 |
1 |
1 |
69760 |
|
29 |
30 |
2 |
30 |
10.0 |
200 |
3 |
1 |
5220 |
|
29 |
30 |
2 |
30 |
10.0 |
200 |
3 |
1 |
5220 |
|
10 |
60 |
7 |
80 |
4.0 |
200 |
1 |
1 |
5600 |
|
4 |
14 |
3 |
160 |
5.0 |
250 |
3 |
2 |
11496 |
|
62 |
64 |
4 |
450 |
3.0 |
1000 |
7 or 11 |
1 |
250000 |
|
50 |
29 |
2 |
20 |
4.0 |
500 |
1 |
1 |
2000 |
|
4 |
63 |
4 |
224 |
4.0 |
500 |
1 |
1 |
1490 |
|
2 |
32 |
4 |
160 |
4.0 |
200 |
1 |
1 |
1590 |
|
60 |
27 |
2 |
20 |
5.0 |
512 |
1 |
6 |
14400 |
|
21 |
27 |
2 |
20 |
5.0 |
512 |
1 |
6 |
5040 |
|
6 |
27 |
2 |
20 |
5.0 |
512 |
1 |
6 |
1440 |
|
87 |
27 |
2 |
20 |
5.0 |
512 |
1 |
6 |
20880 |
|
15 |
varies (11-64) |
3 |
80 |
5.0 |
256 |
3 |
4 |
7200 |
|
13 |
67 |
4 |
varies |
90.0 |
256 |
1 |
1 |
varies |
|
20 |
64 |
10 |
varies |
3.0 |
512 |
1 |
1 |
varies |
|
20 |
64 |
16 |
varies |
4.0 |
500 |
1 |
1 |
varies |
|
20 |
64 |
3 |
varies |
8.0 |
200 |
3 |
1 |
varies |
|
10 |
64 |
5 |
varies |
3.0 |
256 |
1 |
9 |
varies |
|
12 |
32 |
3 |
20 |
3.0 |
1000 |
4 |
1 |
2880 |
|
12 |
17 |
10 |
30 |
4.0 |
1000 |
1 |
15 |
4321 |
|
7 |
19 |
3 |
80 |
1.0 |
200 |
3 |
1 |
16126 |
|
18 |
22 |
2 |
varies |
5.0 |
512 |
6 |
varies |
7156 |
|
30 |
32 |
2 |
25 |
6.0 |
512 |
1 |
2 |
1550 |
|
16 |
63 |
2 |
36 |
4.5 |
1000 |
1 |
7 |
8064 |
|
25 |
62 |
2 |
300 |
4.0 |
200 |
15 |
1 |
15000 |
|
14 |
19 |
3 |
40 |
6.0 |
1024 |
1 |
1 |
1665 |
|
20 |
26 |
4 |
60 |
5.0 |
500 |
7 |
6 |
33600 |
|
6 |
132 |
2 |
varies |
4.0 |
1000 |
1 |
varies |
1114 |
|
25 |
60 |
11 |
50 |
4.0 |
2500 |
3 |
3 |
41250 |
|
62 |
59 |
3 |
100 |
7.5 |
1000 |
3 |
1 |
39600 |
|
25 |
64 |
2 |
varies |
60.0 |
1000 |
5 |
3 |
1875 |
|
32 |
17 |
4 |
varies |
15.0 |
250 |
1 |
1 |
7680 |
|
28 |
59 |
3 |
40 |
6.0 |
1000 |
4 |
1 |
13440 |
|
31 |
62 |
2 |
20 |
7.5 |
1000 |
3 |
1 |
2520 |
|
31 |
62 |
2 |
20 |
7.5 |
1000 |
3 |
1 |
2520 |
|
37 |
32 |
2 |
15 |
27.0 |
256 |
3 |
1 |
3330 |
|
18 |
62 |
8 |
40 |
4.0 |
250 |
1 |
1 |
5760 |
|
22 |
32 |
10 |
40 |
4.0 |
1000 |
2 |
3 |
16800 |
|
30 |
30 |
2 |
50 |
4.0 |
500 |
5 |
1 |
15000 |
|
27 |
64 |
2 |
40 |
5.0 |
1000 |
3 |
4 |
8640 |
P300/ERP#
ERP (Event-Related Potential) is a BCI paradigm where the subject is presented with a stimulus and the EEG response is recorded. The P300 is a positive peak in the EEG signal that occurs around 300 ms after the stimulus.
P300-specific definitions:
A trial is one flash.
The classes are binary: a trial is target if the key on which the subject focuses is flashed and non-target otherwise.
Dataset |
#Subj |
#Chan |
#Trials / class |
Trials length (s) |
Freq (Hz) |
#Sessions |
|---|---|---|---|---|---|---|
8 |
8 |
3500 NT / 700 T |
1.0 |
256.0 |
1 |
|
10 |
16 |
1440 NT / 288 T |
0.8 |
256.0 |
3 |
|
10 |
8 |
1500 NT / 300 T |
0.8 |
256.0 |
1 |
|
25 |
16 |
640 NT / 128 T |
1.0 |
128.0 |
2 |
|
24 |
16 |
3200 NT / 640 T |
1.0 |
512.0 |
8 for subjects 1-7 else 1 |
|
64 |
16 |
990 NT / 198 T |
1.0 |
512.0 |
up to 3 |
|
38 |
32 |
200 NT / 40 T |
1.0 |
512.0 |
3 |
|
43 |
32 |
4131 NT / 825 T |
1.0 |
512.0 |
3 |
|
44 |
32 |
2160 NT / 480 T |
1.0 |
512.0 |
1 |
|
21 |
16 |
600 NT / 120 T |
1.0 |
512.0 |
2 |
|
13 |
31 |
364 NT / 112 T |
0.9 |
1000.0 |
3 |
|
12 |
31 |
364 NT / 112 T |
0.9 |
1000.0 |
3 |
|
13 |
31 |
7500 NT / 1500 T |
1.2 |
1000.0 |
1 |
|
8 |
32 |
2753 NT / 551 T |
1.0 |
2048.0 |
4 |
|
54 |
62 |
6900 NT / 1380 T |
1.0 |
1000.0 |
2 |
|
40 |
30 |
varies by ERP task |
1.0 |
1024.0 |
1 |
|
40 |
30 |
240 NT / 80 T |
1.0 |
1024.0 |
1 |
|
40 |
30 |
800 NT / 200 T |
1.0 |
1024.0 |
1 |
|
40 |
30 |
160 NT / 160 T |
1.0 |
1024.0 |
1 |
|
40 |
30 |
160 NT / 40 T |
1.0 |
1024.0 |
1 |
|
40 |
30 |
60 NT / 60 T |
1.0 |
1024.0 |
1 |
|
40 |
30 |
~400 All |
1.0 |
1024.0 |
1 |
|
40 |
30 |
~400 All |
1.0 |
1024.0 |
1 |
|
11 |
64 |
~130 NT / ~65 T |
1.0 |
1000.0 |
1 |
|
15 |
64 |
2160 NT / 720 T |
1.0 |
1000.0 |
1 |
|
22 |
8 |
540 NT / 60 T |
1.0 |
250.0 |
up to 3 |
|
21 |
62 |
10071 NT / 2014 T |
0.8 |
1000.0 |
2 |
|
12 |
63 |
18850 NT / 650 T |
0.8 |
1000.0 |
1 |
|
10 |
63 |
6075 NT / 759 T |
1.0 |
1000.0 |
1 |
|
6 |
64 |
809 NT / 235 T |
0.6 |
512.0 |
2 |
|
15 |
69 |
varies brake / EMG |
1.5 |
200.0 |
1 |
|
18 |
31 |
varies NT / T |
16.0 |
250.0 |
1 |
|
11 |
64 |
~875 NT / ~856 T |
1.0 |
200.0 |
1 |
|
16 |
63 |
varies NT / T |
0.7 |
100.0 |
1 |
|
13 |
63 |
varies NT / T |
1.0 |
250.0 |
2 |
|
24 |
32 |
250 NT / 50 T |
1.0 |
500.0 |
5 for subjects 1-18 else 4 |
|
31 |
66 |
varies NT / T |
1.0 |
1000.0 |
1-3 |
|
13 |
32 |
varies NT / T |
1.0 |
256.0 |
1 |
|
19 |
16 |
varies NT / T |
1.0 |
256.0 |
up to 8 |
|
19 |
32 |
varies NT / T |
1.0 |
256.0 |
1 |
|
17 |
32 |
varies NT / T |
1.0 |
256.0 |
1 |
|
8 |
16 |
varies NT / T |
1.0 |
256.0 |
1 |
|
10 |
16 |
varies NT / T |
1.0 |
256.0 |
3 |
|
20 |
16 |
varies NT / T |
1.0 |
256.0 |
1 |
|
16 |
16 |
varies NT / T |
1.0 |
256.0 |
1 |
|
13 |
16 |
varies NT / T |
1.0 |
256.0 |
1 |
|
20 |
16 |
varies NT / T |
1.0 |
256.0 |
1 |
|
5 |
16 |
varies NT / T |
1.0 |
256.0 |
up to 2 |
|
11 |
16 |
varies NT / T |
1.0 |
256.0 |
1 |
|
21 |
16 |
varies NT / T |
1.0 |
256.0 |
1 |
|
8 |
16 |
varies NT / T |
1.0 |
256.0 |
2 |
|
18 |
32 |
varies NT / T |
1.0 |
256.0 |
2 |
|
19 |
32 |
varies NT / T |
1.0 |
256.0 |
2 |
|
36 |
32 |
varies NT / T |
1.0 |
256.0 |
1 |
|
20 |
32 |
varies NT / T |
1.0 |
256.0 |
2 |
|
10 |
32 |
varies NT / T |
1.0 |
256.0 |
1 |
|
24 |
32 |
varies NT / T |
1.0 |
256.0 |
1 |
|
19 |
8 |
varies NT / T |
1.0 |
256.0 |
3 |
|
30 |
31 |
varies NT / T |
1.0 |
500.0 |
1 |
|
15 |
31 |
varies NT / T |
1.0 |
500.0 |
1 |
|
15 |
31 |
varies NT / T |
1.0 |
500.0 |
1 |
|
14 |
31 |
varies NT / T |
1.0 |
500.0 |
1 |
|
10 |
25 |
varies NT / T |
1.0 |
500.0 |
1 |
|
14 |
62 |
168 T / 4032 NT |
1.0 |
1000.0 |
2 |
|
15 |
57 |
varies T / NT |
1.0 |
1000.0 |
4 |
|
10 |
124 |
5184 (6 classes) |
0.496 |
62.5 |
1 |
|
15 |
8 |
varies NT / T |
1.0 |
250.0 |
7 |
|
10 |
32 |
~1200 per run |
1.0 |
256.0 |
2 |
SSVEP#
SSVEP (Steady-State Visually Evoked Potential) is a BCI paradigm where the subject is presented with flickering stimuli. The EEG signal is modulated at the same frequency as the stimulus. Each stimulus is flickering at a different frequency.
SSVEP-specific definitions:
#Classes is the number of different stimulation frequencies.
A trial is one symbol selection. This includes multiple flashes.
Dataset |
#Subj |
#Chan |
#Classes |
#Trials / class |
Trials length (s) |
Freq (Hz) |
#Sessions |
|---|---|---|---|---|---|---|---|
54 |
62 |
4 |
50 |
4.0 |
1000 |
2 |
|
12 |
8 |
4 |
16 |
2.0 |
256 |
1 |
|
10 |
256 |
5 |
12-15 |
3.0 |
250 |
1 |
|
10 |
256 |
5 |
20-30 |
3.0 |
250 |
1 |
|
10 |
14 |
4 |
20-30 |
3.0 |
128 |
1 |
|
9 |
8 |
12 |
15 |
4.15 |
256 |
1 |
|
34 |
64 |
40 |
6 |
5.0 |
250 |
1 |
|
70 |
64 |
40 |
4 |
3.0 |
250 |
1 |
|
100 |
64 |
9 |
7 |
6.0 |
1000 |
7 |
|
40 |
33 |
40 |
6 |
5.0 |
1024 |
6 |
|
59 |
8 |
40 |
4 |
4.0 |
250 |
1 |
|
24 |
32 |
3 |
20 |
5.0 |
500 |
4-5 |
|
12 |
32 |
4 |
varies |
3.5 |
512/2048 |
2 |
|
8 |
32 |
4 |
varies |
5.0 |
1000 |
1 |
|
24 |
64 |
32 |
6-24 |
2.0 |
1000 |
2 |
|
31 |
66 |
4 |
12 |
5.0 |
1000 |
1-3 |
c-VEP#
Include neuro experiments where the participant is presented with psuedo-random noise-codes, such as m-sequences, Gold codes, or any arbitrary “pseudo-random” code. Specifically, the difference with SSVEP is that SSVEP presents periodic stimuli, while c-VEP presents non-periodic stimuli. For a review of c-VEP BCI, see:
Martínez-Cagigal, V., Thielen, J., Santamaria-Vazquez, E., Pérez-Velasco, S., Desain, P.,& Hornero, R. (2021). Brain–computer interfaces based on code-modulated visual evoked potentials (c-VEP): A literature review. Journal of Neural Engineering, 18(6), 061002. DOI: https://doi.org/10.1088/1741-2552/ac38cf
c-VEP-specific definitions:
A trial is one symbol selection. This includes multiple flashes.
#Trial classes is the number of different symbols.
#Epoch classes is the number of possible intensities for the flashes (for a visual cVEP paradigm). Typically, there are only two intensities: on and off.
#Epochs / class the number of flashes per intensity in each session.
Codes is the type of code used in the experiment.
Presentation rate is the rate at which the codes are presented.
Dataset |
#Subj |
#Sessions |
Freq (Hz) |
#Chan |
Trials length (s) |
#Trial classes |
#Trials / class |
#Epochs classes |
#Epochs / class |
Codes |
Presentation rate (Hz) |
|---|---|---|---|---|---|---|---|---|---|---|---|
16 |
5 |
256 |
16 |
5.3/6.7/10.3/4.0/10.0 |
16 |
2-30 |
2-11 |
6200-19220 |
p-ary m-sequence |
120 |
|
16 |
8 |
256 |
16 |
4.2 |
16 |
2-30 |
2 |
11904/12288 |
m-sequence |
120 |
|
12 |
1 |
2048 |
64 |
4.2 |
36 |
3 |
2 |
27216 NT / 27216 T |
Gold codes |
120 |
|
30 |
1 |
512 |
8 |
31.5 |
20 |
5 |
2 |
18900 NT / 18900 T |
Gold codes |
60 |
|
12 |
1 |
500 |
32 |
2.2 |
4 |
15/15/15/15 |
2 |
3525 NT / 3495 T |
m-sequence |
60 |
|
12 |
1 |
500 |
32 |
2.2 |
4 |
15/15/15/15 |
2 |
3525 NT / 3495 T |
m-sequence |
60 |
|
12 |
1 |
500 |
32 |
2.2 |
4 |
15/15/15/15 |
2 |
5820 NT / 1200 T |
Burst-CVEP |
60 |
|
12 |
1 |
500 |
32 |
2.2 |
4 |
15/15/15/15 |
2 |
5820 NT / 1200 T |
Burst-CVEP |
60 |
Resting States#
Include neuro experiments where the participant is not actively doing something. For example, recoding the EEG of a subject while s/he is having the eye closed or opened is a resting state experiment.
Dataset |
#Subj |
#Chan |
#Classes |
#Blocks / class |
Trials length (s) |
Freq (Hz) |
#Sessions |
|---|---|---|---|---|---|---|---|
12 |
16 |
2 |
5 |
60 |
512 |
1 |
|
15 |
62 |
4 |
1 |
2 |
250 |
1 |
|
20 |
16 |
2 |
5 |
10 |
512 |
1 |
Compound Datasets#
Compound Datasets are datasets compounded with subjects from other datasets. It is useful for merging different datasets (including other Compound Datasets), select a sample of subject inside a dataset (e.g. subject with high/low performance).
Dataset |
#Subj |
#Original datasets |
|---|---|---|
17 |
BI2014a |
|
11 |
BI2014b |
|
2 |
BI2015a |
|
25 |
BI2015b |
|
4 |
Cattan2019_VR |
|
59 |
|
Submit a new dataset#
you can submit a new dataset by mentioning it to this issue. The datasets currently on our radar can be seen here, but we are open to any suggestion.
If you want to actively contribute to inclusion of one new dataset, you can follow also this tutorial tutorial.