nm000193
Kojima et al. 2024 (Dataset A) — An auditory brain-computer interface based on selective attention to multiple tone streams
EEG
- Participants
- 11
- Size
- 3.74 GB
- Version
- v1.0.1
- Updated
- Jun 2, 2026
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Showing 10 of 530 datasets · page 8 of 53
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- on004362
EEG Motor Movement/Imagery Dataset
EEGImported from OpenNeuro ds004362
- Participants
- 109
- Size
- 11.1 GB
- Version
- v1.0.0
- Updated
- May 23, 2026
- ds007554
Multimodal dataset from the CMx7-MM Experiment
EEG BEH NIRS# Multimodal EEG-fNIRS-physio dataset during hierarchical cognitive-motor tasks This repository contains a raw multimodal dataset acquired in healthy adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks. Data include neurophysiological (EEG, fNIRS), physiological (ECG and EMG), behavioral (push-button, torque), and subjective measures (sleepiness and cognitive load ratings), organized according to the Brain Imaging Data Structure (BIDS). The dataset is describe
- Participants
- 30
- Size
- 4.21 GB
- Updated
- Jun 6, 2026
- nm000151
Motor imagery dataset for three imaginary states of the same upper extremity
EEG- Participants
- 12
- Size
- 3.20 GB
- Version
- v1.0.0
- Updated
- May 16, 2026
- ds007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
EEG BEHThis dataset contains multimodal physiological recordings acquired during smartphone interaction and video viewing conditions. The dataset includes simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) signals. ## **Experimental Protocol** Participants complete two experimental conditions while wearing a 64-channel EEG cap and a head-mounted eye tracker, with simultaneous PPG and GSR recordings: **Smartphone Monitor condition (10
- Participants
- 23
- Size
- 6.12 GB
- Updated
- Jun 6, 2026
- ds007526
PD-EEG: Resting-State & Walking EEG in Parkinson's Disease
EEG# PD-EEG: Resting-State & Walking EEG in Parkinson's Disease ## Overview This dataset contains EEG recordings from Parkinson's disease (PD) patients and healthy controls (HC), collected under two behavioral conditions: resting state (sitting) and walking. The dataset was acquired at the Neurology Institute, Tel Aviv Sourasky Medical Center. --- ## Participants - **Parkinson’s disease (PD):** 116 participants - **Healthy controls (HC):** 28 participants ### Inclusion criteria (PD): - Age 40
- Participants
- 144
- Size
- 4.26 GB
- Updated
- Jun 6, 2026
- ds007524
LittlePrince_MEG_French_Read_Pallier2025
MEG MRI## Summary This dataset contains magnetoencephalography (MEG) recordings collected while participants read the French text of *Le Petit Prince* presented using a rapid serial visual presentation (RSVP) paradigm. A separate dataset containing MEG recordings from the auditory listening paradigm is available on OpenNeuro (accession number: ds007523). This data is analyzed in: d’Ascoli, S., Bel, C., Rapin, J. et al. Towards decoding individual words from non-invasive brain recordings. Nature Com
- Participants
- 50
- Size
- 299 GB
- Updated
- Jun 6, 2026
- ds007523
LPP MEG Listen
MEG MRI## Summary This dataset contains magnetoencephalography (MEG) recordings collected while participants listened to the French audiobook of *Le Petit Prince* by Antoine de Saint-Exupéry. A complementary MEG dataset from the same project, using a reading (RSVP) paradigm, is available on OpenNeuro (accession number: ds007524). This data is analyzed in: d’Ascoli, S., Bel, C., Rapin, J. et al. Towards decoding individual words from non-invasive brain recordings. Nature Communications 16, 10521 (20
- Participants
- 58
- Size
- 445 GB
- Updated
- Jun 6, 2026
- ds007521
The effect of hunger and state preferences on the neural processing of food images
EEGA preprint of the manuscript can be found on bioRxiv: doi.org/10.1101/2025.09.09.674354 The experiment and analysis code can be found via the Open Science Framework: doi.org/10.17605/OSF.IO/ZFD7P Experiment Details: Human electroencephalography recordings from 23 participants, who did a letter task and calorie categorisation task. In the letter task, participants viewed rapid streams of overlaid food/non-food images and letters, pressing a button whenever they saw a vowel, while ignoring the i
- Participants
- 23
- Size
- 29.0 GB
- Updated
- Jun 6, 2026
- on002718
Face processing EEG dataset for EEGLAB
ANAT EEGImported from OpenNeuro ds002718
- Participants
- 18
- Size
- 4.30 GB
- Version
- v1.0.0
- Updated
- May 25, 2026