on003626
Inner Speech
EEG
…Surface electroencephalography is a standard and noninvasive way to measure electrical brain…
- Participants
- 10
- Citations
- 73
- Size
- 24.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "brain development" · page 2 of 10 · ranked by relevance
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- on003505
VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes
ANAT DWI EEG…Source imaging of high-density visual evoked potentials with multi-scale brain…
- Participants
- 20
- Channels
- 128 (biosemi)
- Citations
- 24
- Size
- 58.2 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on007012
FOODEEG: An open dataset of human electroencephalographic and behavioural responses to food images
BEH EEGFOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.
- Participants
- 117
- Size
- 91.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004447
The BMI-HDEEG dataset 3
EEG…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 22
- Channels
- 129 (egi-geodesic)
- Citations
- 10
- Size
- 20.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004446
The BMI-HDEEG dataset 2
EEG…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 30
- Channels
- 129 (egi-geodesic)
- Citations
- 10
- Size
- 29.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006502
Skill learning and consolidation in healthy humans
ANAT MEGThis dataset comprises MEG, MRI, EMG, and eye-tracking data from 31 healthy right-handed adults performing a sequential finger tapping task (SFTT) to study early motor skill learning, overnight consolidation, and longer-term retention. Participants completed an initial MEG training session followed by up to two retest sessions approximately 24 hours and 30 days later, with resting-state MEG collected before and after each practice block. The dataset supports investigation of neural correlates of motor skill acquisition and memory consolidation.
- Participants
- 31
- Citations
- 3
- Size
- 95.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004448
The BMI-HDEEG dataset 4
EEG…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 56
- Channels
- 129 (egi-geodesic)
- Citations
- 8
- Size
- 38.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005106
200 Objects Infants EEG
EEGThis dataset contains EEG recordings from human infants who viewed 200 object images presented in rapid visual streams, designed to investigate early visual object processing. The data support representational similarity analyses examining neural responses to rapid serial visual presentation of objects. Accompanying code enables reproduction of preprocessing, RSA, and figures from the associated publication.
- Participants
- 42
- Citations
- 8
- Size
- 12.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007420
A Light Weight Multi-Distance fNIRS Dataset for Ball-Squeezing Task and Purposeful Motion Artifact Creation Task
NIRS[ recordings collected from the same subjects and using the same naturalistic ImageNet stimuli as the previously published NOD-fMRI dataset, extending the Natural Object Dataset (NOD) to include temporal dynamics of visual object recognition. Combined with companion MEG data, this multimodal resource enables investigation of neural mechanisms underlying object recognition across naturalistic scenes with both high spatial and high temporal resolution. The dataset includes raw and preprocessed EEG time series and epoched data, along with detailed trial-level event metadata.
- Participants
- 19
- Channels
- 62 (10-10)
- Citations
- 7
- Size
- 24.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026