Discover datasets

Participants

13

Citations

46

HED

v8.4.0

Size

5.14 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises behavioral and neuroimaging data from twenty participants who learned to produce and perceive three distinct temporal intervals through interleaved production and perception tasks. Participants either produced temporal intervals or judged computer-generated intervals as correct or incorrect, receiving visual feedback. The study investigates temporal cognition and interval learning mechanisms.

Participants

20

Channels

37 (10-10)

Size

7.21 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from a memory encoding task in which participants judged the rotation of probe gratings relative to memorized orientations. The experimental design manipulates predictability through color cues that either constrain the range of possible orientations (predictive condition) or provide no constraint (non-predictive condition). The study investigates how diffuse predictions stabilize and reshape neural representations during memory encoding.

Participants

47

Channels

66 (10-10)

Size

145 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task conducted across multiple clinical sites. Participants encoded object locations during guided navigation learning phases and subsequently recalled these locations during self-navigation test phases. The dataset includes 50 trials per session with detailed behavioral events and iEEG recordings, providing a resource for investigating neural mechanisms of spatial memory and navigation.

Participants

58

Size

106 GB

Version

v1.0.0

Updated

Jul 10, 2026

BrainForm is a P300 event-related potential (ERP) EEG dataset collected from 22 participants using a gamified brain-computer interface (BCI) designed for scalable data collection with consumer hardware. Participants completed repeated runs of a P300 spelling/selection task within a serious game paradigm, enabling investigation of BCI skill acquisition across sessions and the effects of different visual stimulation textures on perceptual and performance outcomes.

Participants

22

Citations

1

Size

132 MB

Version

v1.0.1

Updated

Jul 10, 2026

VEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks. The dataset includes raw data, preprocessed EEG single trials, individual brain parcellations at multiple spatial scales (83-1015 regions), structural connectomes derived from diffusion imaging, and EEG source imaging solutions. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.

Participants

20

Channels

128 (biosemi)

Size

56.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

This EEG dataset comprises raw and processed neuroimaging data from a visual statistical learning experiment designed to investigate the relationship between attention and neural synchronization with environmental stimuli. Participants were exposed to three experimental conditions (control, frequency, and temporal pattern), and the dataset includes raw BioSemi recordings along with preprocessed derivatives at multiple processing stages. The study examines how fluctuations in attentional state correlate with changes in brain-environment synchronization during implicit learning tasks.

Participants

78

Channels

64 (10-10)

Size

80.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings investigating the neural correlates of syntactic structure and lexical properties using frequency tagging methodology. Participants were presented with linguistic stimuli while EEG activity was recorded to identify frequency-specific neural responses associated with different linguistic features. The dataset provides raw neurophysiological data suitable for studying the temporal dynamics of language processing at the neural level.

Participants

34

Citations

1

Size

195 GB

Version

v1.0.0

Updated

Jul 10, 2026

A large longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings collected across up to 11 training sessions per participant, containing 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

57

HED

v8.4.0

Size

371 GB

Version

v1.0.1

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from a visuo-spatial working memory task designed to investigate oscillatory neural dynamics during sequence encoding and recall across age groups. Participants performed a computerized spatial span task while EEG was recorded to examine theta and gamma band oscillations and their phase-amplitude coupling. The study aims to elucidate the neural mechanisms supporting visuo-spatial working memory for sequences and characterize potential age-related changes in these processes.

Participants

62

Channels

65 (10-10)

Size

25.1 GB

Version

v1.0.0

Updated

Jul 10, 2026