Discover datasets

This dataset contains non-invasive electrophysiological recordings from the human spinal cord in 30 healthy young adults during a temporal expectation paradigm. Subjects received electric median nerve stimulation preceded by an auditory cue with either fixed or variable timing, allowing investigation of whether temporal expectation modulates initial sensory processing at the spinal level. Recordings used a specialized multi-ring electrode montage around the neck to capture spinal cord signals.

Participants

30

Channels

24 (other)

Size

92.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises whole-head functional near-infrared spectroscopy (fNIRS) recordings from 38 subjects performing spatial-attention tasks in a cocktail-party paradigm with simultaneous eye-tracking. The study includes both overt attention tasks with eye movements and covert auditory attention tasks with central fixation, along with baseline and resting-state conditions. The fNIRS system captured 1134 measurement channels (56 sources, 144 detectors) at approximately 8.99 Hz sampling rate, providing comprehensive hemodynamic measurements during naturalistic audiovisual stimulus processing.

Participants

38

Size

37.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset is a mirror of OpenNeuro ds002791, containing EEG recordings and associated metadata. The dataset includes raw EEG data in standard formats (.eeg, .vhdr, .vmrk) along with BIDS-compliant documentation and participant information in TSV format.

Participants

23

Channels

256 (egi-geodesic)

Citations

4

Size

47.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises two reversal learning tasks designed to investigate differential neural processing of reward gain and punishment avoidance. Participants performed parallel tasks using distinct reinforcers: monetary reward (gain/non-gain outcomes) and primary threat avoidance (noise burst avoidance/application), with noise intensity individually titrated to match subjective value of monetary rewards. The dataset enables investigation of how the brain differentially encodes appetitive versus aversive learning contingencies.

Participants

26

Channels

66 (10-10)

Citations

20

Size

31.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalographic recordings from 32 participants performing motor imagery tasks during sit-to-stand and stand-to-sit transitions in both offline and online brain-computer interface (BCI) paradigms. Participants completed guided motor imagery trials while seated or standing, with EEG signals recorded from 17 channels at 250 Hz. The dataset includes offline calibration phases used to train machine learning classifiers and corresponding online validation phases where real-time BCI decoding was performed, providing a comprehensive resource for investigating neural correlates of postural transitions and BCI performance.

Participants

32

Channels

17 (10-10)

Size

2.03 GB

Version

v1.0.0

Updated

Jul 10, 2026

This phantom EEG dataset contains recordings from an electrically conductive head model under six controlled conditions: brain-only baseline, and brain signals combined with eye, jaw muscle, neck muscle, motion, or simultaneous artifacts. The dataset includes ground truth brain signals and accompanying EEGLAB scripts for artifact detection validation and parameter optimization, supporting development and benchmarking of EEG artifact removal methods.

Participants

1

Channels

128 (other)

Citations

27

Size

10.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous scalp EEG and intracranial EEG (iEEG) recordings from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Recordings include depth electrode iEEG, 10-20 scalp EEG, electrode localization (MNI coordinates and anatomical labels), and derived LCMV beamforming virtual sensor data from multiple brain regions (temporal superior lobe, lateral prefrontal cortex, occipital cortex, posterior parietal cortex, and Broca's area). Behavioral data on trial set size, match/mismatch condition, accuracy, and response time are also provided, enabling analyses of memory encoding, maintenance, and recall processes, connectivity, and neural replay.

Participants

15

Channels

19 (10-20)

Citations

47

Size

11.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises MEG, MRI, EMG, and eye-tracking data from 31 healthy right-handed adults performing a sequential finger tapping task (SFTT) to study early motor skill learning, overnight consolidation, and longer-term retention. Participants completed an initial MEG training session followed by up to two retest sessions approximately 24 hours and 30 days later, with resting-state MEG collected before and after each practice block. The dataset supports investigation of neural correlates of motor skill acquisition and memory consolidation.

Participants

31

Citations

3

Size

95.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds003195

Participants

10

Channels

19 (10-20)

Citations

1

Size

121 MB

Version

v1.0.0

Updated

Jul 10, 2026

A large-scale multi-laboratory replication study (N=356 participants across 9 UK institutions) investigating probabilistic prediction in language comprehension using event-related potentials. Participants read sentences word-by-word while EEG was recorded, with critical manipulations of indefinite articles (a/an) preceding expected or unexpected nouns. The study challenges strong prediction accounts by demonstrating reliable N400 effects on target nouns but not on preceding articles, contrary to the original DeLong et al. (2005) findings.

Participants

356

Channels

63 (10-10)

Citations

98

Size

102 GB

Version

v1.1.0

Updated

Jul 10, 2026