Discover datasets

An open-access electroencephalography dataset of motor imagery brain-computer interface performance under six different distraction conditions. Sixteen healthy participants performed left versus right hand motor imagery while experiencing flickering video, number search tasks, news listening, eyes closed state, vibro-tactile stimulation, or no distraction. The dataset comprises 504 trials per subject acquired across one calibration run and six feedback runs, providing a resource for investigating the robustness of motor imagery-based BCIs under realistic cognitive load.

Participants

16

Channels

63 (10-05)

Citations

12

HED

v8.4.0

Size

61.6 GB

Version

v1.0.1

Updated

Jul 10, 2026

…and starting locations (x, y). Bold represents stimulation: - **(X1, Y1)** - **(x1', y1…

Participants

22

Size

69.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

A comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms—motor imagery, event-related potentials, and steady-state visually evoked potentials—across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that motor imagery exhibits the highest illiteracy rate (53.7%) compared to other paradigms, while all participants demonstrated proficiency with at least one BCI system.

Participants

23

Channels

62 (10-05)

Citations

98

HED

v8.4.0

Size

60.8 GB

Version

v1.0.1

Updated

Jul 10, 2026

…dataset We separately share the fMRI dataset at [https://openneuro.org/datasets…

Participants

21

Size

71.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings and behavioral data from 300 face, illusory face, and matched non-face object stimuli presented during three tasks: spontaneous dissimilarity judgments, face-likeness ratings, and face/object discrimination. Neural activity was recorded while participants performed an orthogonal target detection task during stimulus presentation at 3.75 Hz, enabling investigation of the neural correlates underlying distinct stages of spontaneous face perception.

Participants

21

Citations

2

Size

32.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

…J. (2020). > The Alice datasets: fMRI & EEG observations of natural language comprehension…

Participants

45

Channels

60 (other)

Citations

126

Size

3.81 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains magnetoencephalography (MEG) and structural magnetic resonance imaging (MRI) data from adolescent participants with major depressive disorder and healthy controls during a monetary gambling mood induction task and resting state. The study investigates electrophysiological correlates of mood and reward dynamics in human adolescents through pre-registered analyses of task-based and resting-state neuroimaging data.

Participants

51

Size

123 GB

Version

v1.0.0

Updated

Jul 10, 2026

This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises 382 electroencephalographic recordings from 19 participants performing a P300 visual oddball paradigm with systematically varied stimulus properties. Participants completed three experimental sessions, each containing seven recordings with different numbers of visual stimuli (4-9) and flash types (standard flash or cartoon face overlay). EEG data were acquired from eight scalp electrodes at 256 Hz sampling rate, with detailed event markers encoding experimental phases and stimulus presentations.

Participants

19

Channels

9 (10-10)

Citations

2

Size

1.27 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.

Participants

12

Channels

64 (biosemi)

Size

24.1 GB

Version

v1.0.0

Updated

Jul 10, 2026