ds007521
The effect of hunger and state preferences on the neural processing of food images
EEG
- Participants
- 23
Discover datasets
91 results for "BOLD fMRI" · page 9 of 10 · ranked by relevance
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- on004022
Multimodal EEG and fNIRS Biosignal Acquisition during Motor Imagery Tasks in Patients with Orthopedic Impairment
EEGImported from OpenNeuro ds004022
- Citations
- 2
- Size
- 635 MB
- Updated
- Jun 1, 2026
- ds004785
EEG data for paper titled - Precise cortical contributions to feedback sensorimotor control during reactive balance
EEG- Participants
- 17
- on003374
Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
iEEGThis dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.
- Citations
- 24
- Size
- 297 MB
- Updated
- Jun 21, 2026
- on000117
Multisubject, multimodal face processing
ANAT BEH DWI FMAP FUNC MEGImported from OpenNeuro ds000117
- Citations
- 50
- Size
- 169 GB
- Updated
- May 18, 2026
- nm000106
FRL Handwriting: Handwriting Decoding from Surface Electromyography
EMGNEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG
- Size
- 75.5 GB
- Updated
- May 16, 2026
- ds004802
Pilot data for Loneliness in the Brain: Distinguishing Between Hypersensitivity and Hyperalertness
EEG- Participants
- 38
- nm000348
Yang et al. 2025 — A multi-day and high-quality EEG dataset for motor imagery brain-computer interface
EEGA multi-day, high-quality EEG dataset for motor imagery brain-computer interface research comprising 51 healthy subjects performing left and right hand motor imagery tasks across three sessions, with an additional 11 subjects performing 3-class motor imagery (left hand, right hand, foot). The dataset includes 59 EEG channels sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials (51 subjects × 3 sessions × 200 trials for 2-class + 11 subjects × 3 sessions × 300 trials for 3-class) with visual and auditory cues. This resource is designed to support the development and benchmarking of motor imagery BCI algorithms and classifiers.
- Citations
- 29
- Size
- 63.4 GB
- Updated
- Jun 3, 2026
- nm000321
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study Q)
EEGBigP3BCI Study Q is a P300-based brain-computer interface dataset comprising EEG recordings from 36 ALS subjects across 3 sessions each, using a 6x6 color intensification speller paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 electrode montage, annotated with target and non-target event labels for machine learning applications. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with recordings from approximately 267 subjects across 20 studies.
- Size
- 1.09 GB
- Updated
- Jun 3, 2026
- ds005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEG- Participants
- 24