Discover datasets

This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 17 healthy participants during an affective music brain-computer interface training study. Participants listened to 40-second music clips (20s per emotional state) designed to induce specific emotional states across three sessions, with self-reported valence and arousal ratings. The data supports the development and validation of music-based brain-computer interfaces for monitoring and inducing affective states. This is the training session dataset; two additional datasets cover system calibration and online real-time control phases.

Participants

10

Channels

32 (10-10)

Size

8.52 GB

Version

v1.0.0

Updated

Jul 10, 2026

PsiConnect is a large-scale multimodal neuroimaging study investigating context-dependent neural and subjective effects of psilocybin in 62 participants. The dataset combines functional, structural, and diffusion-weighted MRI with concurrent EEG acquired before and after psilocybin administration (19 mg), incorporating resting-state and naturalistic conditions (guided meditation, music listening, movie watching). Half the cohort completed an 8-week meditation training program, enabling investigation of interactions between meditation, psilocybin, and brain function. Comprehensive behavioral and self-report measures were collected acutely and longitudinally up to one year post-administration.

Participants

65

Channels

64 (10-10)

Size

936 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset contains behavioral events and electrophysiological recordings from a hybrid spatial-navigation and free recall experiment conducted at the University of Pennsylvania (2021-2022). Participants performed a virtual courier task delivering items across a town, followed by recall testing. The experiment comprised two phases: read-only sessions for generating classifier training data, and closed-loop sessions where stimulus presentation timing was optimized based on real-time neural predictions of memory encoding. The dataset supports investigation of spatial memory dynamics and the efficacy of classifier-based closed-loop stimulation for memory enhancement.

Participants

34

Channels

128 (biosemi)

Citations

5

Size

1.30 TB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds003801

Participants

20

Channels

24 (10-10)

Size

1.15 GB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

40

Channels

30 (10-10)

Citations

92

HED

v8.4.0

Size

17.5 GB

Version

v1.1.1

Updated

Jul 10, 2026

FOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.

Participants

117

Size

91.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from 15 healthy participants performing reach-and-grasp motor imagery tasks using three different electrode systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with 7200 total trials. Participants executed palmar grasp (toward glass) and lateral grasp (toward spoon) actions. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.

Participants

45

Channels

58 (10-05)

Citations

51

HED

v8.4.0

Size

8.67 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset comprises EEG recordings from a single healthy participant exposed to multisensory stimulation at gamma frequencies (40Hz). The experiment investigates brain entrainment responses to three stimulus modalities: auditory (5kHz carrier amplitude-modulated at 40Hz), visual (20Hz flickering white LED array), and combined audio-visual stimulation. Each stimulus epoch lasted 40 seconds and was recorded using 19 monopolar EEG channels at 500Hz sampling rate. The study aims to characterize synchronized brain oscillations induced by different sensory modalities, with potential implications for understanding gamma entrainment mechanisms relevant to neurodegenerative diseases such as Alzheimer's disease.

Participants

1

Channels

19 (10-20)

Size

17.0 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 127 young adults (18-30 years) collected to investigate links between childhood and adulthood socioeconomic status (SES) and cognitive electrophysiology. EEG tasks were derived from the ERP CORE resource and adapted to capture neural activity related to perception, cognition, and action. The dataset also includes retrospective and current SES indicators, and an ADHD symptoms checklist, enabling investigation of relationships between socioeconomic diversity, ADHD symptoms, and neural activity.

Participants

127

Channels

27

Citations

10

Size

10.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

A large-scale longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings across 598 sessions with more than 250,000 trials of motor imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.

Participants

62

Channels

60 (10-10)

Citations

59

HED

v8.4.0

Size

722 GB

Version

v1.0.4

Updated

Aug 18, 2026