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Stereoelectroencephalography (sEEG) recordings from epilepsy patients at Oregon Health & Science University, collected while they were in the epilepsy monitoring unit awaiting seizures. Participants were presented with auditory and visual numerical stimuli, either symbolic (Arabic numerals and spoken numbers) or non-symbolic (dots and beeps). The dataset supports investigation of the neural representation of numerical quantity across modalities and formats.

Participants

13

Size

13.5 GB

Version

v1.0.0

Updated

Jun 27, 2026

…Accession: #: ds006035 Description: Multi-subject, multi-modal (sMRI+MEG+EEG) neuroimaging dataset…

Participants

5

Size

3.07 GB

Version

v1.0.0

Updated

Jun 28, 2026

A 60-channel EEG dataset from 10 healthy, BCI-naive participants performing simple limb motor imagery (left hand, right hand, feet) and compound limb motor imagery (both hands, left hand with right foot, right hand with left foot), plus a rest condition. The recordings were used to examine EEG oscillatory patterns (ERD/ERS), cognitive processes, and effective connectivity during motor imagery. This is a preprocessed (bandpass filtered, downsampled to 200 Hz) BIDS version curated through MOABB.

Participants

10

Channels

60 (10-10)

Citations

93

HED

v8.4.0

Size

5.64 GB

Version

v1.0.3

Updated

Oct 8, 2026

…Numerous datasets are publicly available for any researcher to design models for…

Participants

26

Channels

28 (10-10)

Citations

1

Size

2.46 GB

Version

v1.0.0

Updated

Jun 24, 2026

A raw multimodal dataset from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. It includes EEG, fNIRS, ECG, EMG, Biodex torque/kinematics, push-button responses, and subjective ratings of sleepiness and cognitive load. The data are organized in BIDS and are unprocessed exports from the acquisition systems.

Participants

30

Channels

32 (10-10)

Size

4.21 GB

Version

v1.0.0

Updated

Jun 30, 2026

Multimodal dataset of 29 participants watching six educational videos under two conditions: an attentive session with intentional learning and subsequent factual questions, and a distracted session with a silent backward-counting task. Recordings include EEG, EOG, ECG, gaze, pupil size, blinks, saccades and head position. Questionnaires (stimulus knowledge questions and the ASRS adult ADHD checklist) are provided. The dataset supports research on attention and learning from video.

Participants

29

Channels

64 (10-10)

Size

7.47 GB

Version

v1.0.0

Updated

Jun 3, 2026

…to access to the data - [ ] Data user agreement The EEG dataset is…

Participants

63

Channels

66 (other)

Size

34.7 GB

Version

v1.0.0

Updated

Jun 29, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007081-blue…

Participants

41

Channels

32 (egi-geodesic)

Size

11.3 GB

Version

v1.0.0

Updated

Jun 29, 2026

…Moreira et al. "An open-access EEG dataset for speech decoding: Exploring…

Participants

24

Channels

61 (10-10)

Size

83.8 GB

Version

v1.0.0

Updated

Jun 28, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005932-blue…

Participants

29

Channels

32 (10-10)

Size

2.28 GB

Version

v1.0.0

Updated

Jun 28, 2026