on004588
Neuma
EEG
Imported from OpenNeuro ds004588
- Participants
- 42
- Size
- 601 MB
- Version
- v1.0.0
- Updated
- May 16, 2026
Discover datasets
Showing 10 of 594 datasets · page 3 of 60
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- on004022
Multimodal EEG and fNIRS Biosignal Acquisition during Motor Imagery Tasks in Patients with Orthopedic Impairment
EEGImported from OpenNeuro ds004022
- Participants
- 7
- Size
- 635 MB
- Updated
- May 16, 2026
- on002181
CRYPTO and PROVIDE EEG Baseline Data
EEGImported from OpenNeuro ds002181
- Participants
- 226
- Size
- 150 MB
- Version
- v1.0.0
- Updated
- May 18, 2026
- on004855
FT
EEGImported from OpenNeuro ds004855
- Participants
- 1
- Size
- 78.9 MB
- Version
- v1.0.0
- Updated
- May 16, 2026
- on004661
ANDI
EEGImported from OpenNeuro ds004661
- Participants
- 17
- Size
- 1.40 GB
- Version
- v1.0.0
- Updated
- May 16, 2026
- on005628
Dataset of Visual and Audiovisual Stimuli in Virtual Reality from the Edzna Archaeological Site
EEGImported from OpenNeuro ds005628
- Participants
- 102
- Size
- 633 MB
- Version
- v1.0.0
- Updated
- May 16, 2026
- on004368
Meta-rdk: Preprocessed EEG data
EEGImported from OpenNeuro ds004368
- Participants
- 39
- Size
- 969 MB
- Version
- v1.0.0
- Updated
- May 16, 2026
- on004849
STRONG
EEGImported from OpenNeuro ds004849
- Participants
- 1
- Size
- 78.9 MB
- Version
- v1.0.0
- Updated
- May 16, 2026
- ds007222
Visual Occlusions with Treadmill Walking Speeds EEG
EEG# README More info here: https://neurostars.org/t/where-in-a-bids-dataset-should-i-put-notes-about-individual-mri-acqusitions/17315/3 ## Details related to access to the data - [ ] Data user agreement If the dataset requires a data user agreement, link to the relevant information. *** - [ Jonel Raven Morris ([email protected]; ORCID: 0000-0003-0239-1917)] Contact person *** ## Overview - [Visual Occlusions on Treadmill at Different Speeds with Stationary Visual Display ] Project name *** - [ 20
- Participants
- 15
- Size
- 3.31 GB
- ds007788
Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals
EEGMOTION## **EEG-Controlled Exoskeleton for Walking and Standing – A Longitudinal Motor Imagery Study in Healthy Adults** ### **Dataset Overview** This dataset comprises multimodal recordings from a brain–machine interface (BMI) training study involving seven healthy adult participants (ages 20–30 years; mean = 24.3, SD = 3.8). The study investigated both open-loop and closed-loop control of a lower-limb exoskeleton (Rex Bionics). The dataset includes 60-channel EEG, 4-channel EOG, motion data from two
- Participants
- 7
- Size
- 3.62 GB