Discover datasets

STReEF is an intracranial EEG (iEEG) dataset of 13 patients with focal epilepsy, drawn from the RESPect (Registry for Epilepsy Surgery Patients) database at the University Medical Center Utrecht. Five patients were recorded with electrocorticography and eight with stereo-EEG during long-term monitoring. The recordings include clinical single pulse electrical stimulation (SPES) sessions and support studies of structural and effective brain connectivity in focal epilepsy.

Participants

13

Size

44.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

This dataset provides simultaneous EEG and fNIRS recordings from 12 participants performing a silent naming task and three sensory-based imagery tasks (visual, auditory, tactile) on objects from the semantic categories of animals and tools. It supports research on semantic decoding and brain-computer interfacing. Stimulus images and example Python scripts for loading the data with MNE and MNE-BIDS are included.

Participants

12

Channels

64 (biosemi)

Citations

11

Size

24.2 GB

Version

v1.0.0

Updated

Jun 24, 2026

FACE-DEC is an OPM-MEG (optically pumped magnetometer magnetoencephalography) dataset for studying face perception through multivariate decoding and representational similarity analysis. The release includes analysis code for preprocessing (face_1_prep), decoding (face_2_dec), RSA (face_3_rsa), statistics (face_4_stat), and Bayesian model selection (face_6_bayes.m), with a main entry script (face_0_main). Individual facial point clouds and structural MRIs were not collected because optical scanning equipment was unavailable, so all analyses were performed at the whole-brain sensor level. Data collection was approved by the Institutional Review Board of Peking University.

Participants

21

Size

27.6 GB

Version

v1.0.0

Updated

Jun 26, 2026

A clinical intracranial EEG (iEEG) dataset from 12 epilepsy surgery patients drawn from the RESPect (Registry for Epilepsy Surgery Patients) collection at the University Medical Center Utrecht. It includes six intraoperative ECoG recordings and six long-term recordings (three ECoG, three SEEG). The data are organized in BIDS, with session and run conventions that capture the surgical stage or the monitoring day and time, and the task labels describe the patient's state.

Participants

6

Citations

1

Size

99.3 GB

Version

v1.0.0

Updated

Jun 22, 2026

This dataset contains functional near-infrared spectroscopy (fNIRS) recordings collected to evaluate motion artifacts in long-term clinical NIRS monitoring. It accompanies a study comparing collodion-fixed prism-based optical fibers with conventional fiber attachment for reducing motion artifacts. The data are mirrored on NEMAR from OpenNeuro.

Participants

7

Size

68.5 MB

Version

v1.0.0

Updated

Jun 18, 2026

EEG recordings from fifteen healthy participants who executed and imagined six sustained upper limb movements (elbow flexion/extension, forearm supination/pronation, hand open/close) plus a rest condition, in two separate sessions. The dataset supports decoding of single upper limb movements from the time-domain of low-frequency EEG. It is relevant to non-invasive control of motor neuroprostheses and robotic arms. This BIDS version was generated from the original BNCI Horizon 2020 data using MOABB.

Participants

15

Channels

61 (10-05)

Citations

93

HED

v8.4.0

Size

34.0 GB

Version

v1.0.3

Updated

Aug 18, 2026

Clinical intracranial EEG (iEEG) recordings from 12 epilepsy surgery patients at the University Medical Center Utrecht, forming part of the RESPect (Registry for Epilepsy Surgery Patients) collection. Six patients were recorded intraoperatively with acute ECoG and six had long-term monitoring (three with ECoG, three with SEEG). The data are organized in BIDS, with separate session and run conventions for intraoperative and long-term recordings.

Participants

6

Size

2.60 GB

Version

v1.0.0

Updated

Jun 22, 2026

EEG dataset from a visual working memory experiment (Experiment 2) examining whether memory reactivation levels are affected by anticipated interference. Participants memorized 2 or 6 lateral objects, then performed either a dual task with distractors or a single fixation-only task during the delay, before selecting the cued object in a probe display. The data have been preprocessed; the preprocessing steps are described in the associated preprint and OSF repository (Experiment 2).

Participants

56

Channels

30 (10-10)

Size

40.1 GB

Version

v1.0.0

Updated

Jun 28, 2026

EEG recordings from 100 healthy adults collected to study hemispheric asymmetries, specifically the relationship between N1 lateralization and alpha asymmetry. Each participant completed an eight-minute resting-state session with alternating eyes-open and eyes-closed periods. They then completed four lateralized visual tasks (words, faces, emotions, houses) with left- and right-hand responses.

Participants

100

Channels

32 (10-10)

Citations

1

Size

11.0 GB

Version

v1.0.0

Updated

Jun 30, 2026

A multimodal mobile brain/body imaging dataset from 32 young adults walking over uneven terrain at different speeds. It includes high-density dual-layer EEG, neck EMG, IMU acceleration, ground reaction forces, and head models built from T1-weighted MR images. Each participant also completed a seated rest trial, and digitized electrode locations are provided for every subject.

Participants

32

Channels

120 (other)

Size

62.5 GB

Version

v1.0.0

Updated

Jun 25, 2026