Discover datasets

This dataset comprises simultaneous EEG, fMRI, and diffusion-weighted imaging (DWI) recordings from 28 healthy adults performing a sustained attention gradual-onset continuous performance task (gradCPT), along with resting-state, checkerboard, and imagery task data. The dataset supports multimodal investigation of sustained attention and its neural correlates using combined electrophysiological, hemodynamic, and structural connectivity measures.

Participants

28

Channels

63

Citations

1

Size

680 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises neuroimaging and electrophysiological recordings from 18 participants who engaged in reward-based cognitive tasks during wakefulness followed by sleep monitoring in an MRI scanner. Participants played two games (FACE and MAZE) during 3T fMRI acquisition, with one game designated as rewarded and the other as non-rewarded. Subsequent sleep sessions were recorded with simultaneous 64-channel EEG and fMRI for 1-2 hours, during which participants reached either N2 or N3 sleep stages, followed by a memory test. The dataset enables investigation of how reward biases spontaneous neural reactivation during sleep through multimodal neuroimaging analysis.

Participants

18

Channels

64 (10-10)

Citations

2

Size

18.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.

Participants

1

Citations

4

Size

1.36 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from 127 young adults (18-30 years) collected alongside measures of childhood and adulthood socioeconomic status (SES), including educational attainment, income, food security, and neighborhood characteristics. EEG tasks were drawn from or adapted from the ERP CORE resource, designed to elicit neural activity related to perception, cognition, and action. The dataset also includes an ADHD symptoms checklist, enabling investigation of relationships between SES, ADHD symptoms, and neural activity in a socioeconomically diverse adult sample.

Participants

127

Channels

27

Citations

7

Size

10.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings collected as part of the NeuroTechs project examining STEM skills. Data were acquired using the Unicorn EEG device and converted to BIDS format, with signal values expressed in microvolts. The dataset is intended to support research on neural correlates of STEM-related cognitive processes.

Participants

63

Channels

8 (10-10)

Size

1.39 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises high-density EEG recordings from 30 healthy, right-handed, native Chinese-speaking adults performing imagined and executed vocalization and writing tasks involving four Chinese strokes and four English letters. The factorial design crossed task mode, action, script and token identity, yielding 32 event-coded conditions across 15,360 task events. The dataset supports research into motor imagery, speech and handwriting-related neural communication signals.

Participants

30

Channels

124 (10-05)

Size

181 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset comprises intracranial EEG (iEEG) recordings from 12 epilepsy surgery patients enrolled in the RESPect (Registry for Epilepsy Surgery Patients) study at the University Medical Center of Utrecht. The collection includes intraoperative electrocorticography (ECoG) recordings from six patients and long-term iEEG monitoring data from six patients (three with ECoG and three with stereo-encephalography). All data are organized according to the Brain Imaging Data Structure (BIDS) specification to facilitate standardized access and analysis of clinical neurophysiology data. This dataset is derived from the larger RESPect iEEG collection and has been curated for BIDS compliance.

Participants

6

Citations

1

Size

99.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains scalp EEG recordings from 28 participants performing or imagining upper-limb rehabilitation exercises under a multi-paradigm protocol. It was designed to support research on motor-imagery-based brain–computer interfaces (BCI) for upper-limb rehabilitation. The data have been converted to BIDS format from the original dataset published by Chang et al. (2025).

Participants

28

Channels

59 (10-10)

Citations

3

HED

v8.4.0

Size

47.1 GB

Version

v1.0.5

Updated

Aug 20, 2026

This functional near-infrared spectroscopy (fNIRS) dataset investigates neuronal mechanisms underlying exercise-induced hypoalgesia in endurance athletes versus non-athletes. Twenty-two athletes and twenty non-athletes performed high-intensity interval training (HIIT) while brain oxygenation was monitored across pain-processing regions including the prefrontal cortex, sensorimotor cortices, and posterior parietal cortex. The study reveals distinct neural activation patterns and pain reduction responses between groups, with athletes demonstrating greater oxyhemoglobin increases in the posterior parietal cortex during exercise and significant post-HIIT decreases in pain perception correlated with prefrontal cortex deactivation.

Participants

42

Size

5.51 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains de-identified intracranial EEG (iEEG) recordings from 58 patients with drug-resistant epilepsy who underwent surgical evaluation at the Hospital of the University of Pennsylvania. Recordings include both ECoG (subdural grid/strip and depth electrodes) and SEEG (stereotactic depth electrodes) during interictal and ictal periods, along with electrode localizations in ICBM152 MNI space. The dataset also provides clinically-determined seizure onset zone channels and channels overlapping with the resection or ablation zone, supporting research on epileptogenic tissue mapping and surgical outcome prediction.

Participants

57

Citations

22

Size

13.2 GB

Version

v1.0.0

Updated

Aug 18, 2026