on003194
Neuroepo multisession
EEG
Imported from OpenNeuro ds003194
- Participants
- 15
- Channels
- 19 (10-20)
- Size
- 189 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "mobile neuroimaging" · page 6 of 10 · ranked by relevance
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- nm000104
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
EMG…with applications in AR/VR, mobile computing, and brain-computer interfaces. This…
- Participants
- 108
- Size
- 223 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- on004624
Intracranial recordings using BCI2000 and the CorTec BrainInterchange
ANAT iEEGThis dataset comprises intracranial electrophysiological recordings acquired using BCI2000 software and the CorTec BrainInterchange device. The study establishes an integrated ecosystem of technologies and protocols for adaptive neuromodulation research in human subjects, combining invasive neural recordings with brain-computer interface capabilities.
- Participants
- 3
- Size
- 19.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006035
somatomotor
ANAT MEG…Multi-subject, multi-modal (sMRI+MEG+EEG) neuroimaging dataset for median nerve…
- Participants
- 5
- Size
- 3.07 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)
EEGThis EEG dataset contains neural recordings from 34 participants performing a visual object recognition task using a curated stimulus set of 242 images (121 challenge and 121 control images). Participants viewed sequences of 14 images presented for 200 ms each with 100 ms interstimulus intervals and performed a detection task. The dataset includes time-resolved decoding analyses examining adaptive recruitment of cortical recurrence mechanisms during visual object recognition.
- Participants
- 34
- Channels
- 63 (10-10)
- Size
- 59.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004843
T16
EEG[
- HED
- v8.1.0
- Size
- 7.66 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000339
Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population
EEGA large longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings collected across up to 11 training sessions per participant, containing more than 250,000 trials of motor-imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
- Participants
- 62
- Channels
- 60 (10-10)
- Citations
- 57
- HED
- v8.4.0
- Size
- 371 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on003078
PROBE iEEG
ANAT iEEG[
- Size
- 619 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007554
Multimodal dataset from the CMx7-MM Experiment
BEH EEG NIRSA multimodal neurophysiological dataset acquired from 30 healthy adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks. The dataset includes concurrent EEG, functional near-infrared spectroscopy (fNIRS), electrocardiography, electromyography, and behavioral measures across three sessions. This resource enables investigation of brain-behavior relationships during isolated and integrated cognitive-motor processing.
- Participants
- 30
- Channels
- 32 (10-10)
- Size
- 4.20 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026