on003944
EEG: First Episode Psychosis vs. Control Resting Task 1
EEG
…BPRS - Brief Psychiatric Rating Scale, SANS - Scale for Assessment of Negative Symptoms…
- Participants
- 82
- Citations
- 37
- Size
- 6.15 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
Discover datasets
100 results for "large-scale neuroimaging" · page 7 of 10 · ranked by relevance
-
- nm000103
Healthy Brain Network EEG - Not for Commercial Use
EEG…This dataset is part of a larger initiative to advance the understanding…
- Participants
- 447
- HED
- v8.3.0
- Size
- 250 GB
- Version
- v2.0.0
- Updated
- May 16, 2026
- on004194
Visual ECoG dataset
ANAT iEEGThis dataset comprises intracranial EEG recordings from 14 epilepsy patients implanted with clinical surface and depth electrodes, collected during visual stimulation tasks between 2017-2020. Participants viewed grayscale pattern stimuli varying in spatial and temporal properties, as well as color images of six object categories, while performing a fixation task. The dataset includes raw voltage data, common-average-referenced recordings, broadband responses, preprocessed epochs, and anatomical MRI scans with electrode localizations, enabling investigation of neural dynamics in human visual cortex.
- Participants
- 14
- Citations
- 54
- Size
- 57.6 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on006850
Urban Appraisal: Physiological Recording during Rating of Different Urban Environments
EEG…Within blocks, stimulus x scale presentations were randomized. ### Task details During the…
- Participants
- 63
- Citations
- 3
- Size
- 34.7 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- 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.
- Participants
- 51
- Citations
- 29
- HED
- v8.4.0
- Size
- 63.4 GB
- Version
- v1.0.1
- Updated
- Jun 3, 2026
- on006253
MetaRDK
iEEG…The confidence judgement scale was explained, and they were explicitly instructed to…
- Participants
- 21
- Citations
- 3
- Size
- 15.8 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on002799
Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI
ANAT FMAP FUNC iEEGThis dataset comprises concurrent deep-brain electrical stimulation and whole-brain functional MRI data from 26 patients with medically refractory epilepsy. Patients underwent intracranial electrode implantation for clinical purposes, with one or multiple electrode contacts stimulated during fMRI acquisition using block design protocols. The resource includes anatomical imaging (T1, T2), resting-state fMRI, electrical stimulation-fMRI (es-fMRI) scans, field maps, electrode coordinates, and stimulation parameters, along with preprocessed derivatives.
- Participants
- 26
- Citations
- 7
- Size
- 175 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- on003774
Music Listening- Genre EEG dataset (MUSIN-G)
EEG…The responses were taken on a scale of 1 to 5, where…
- Participants
- 20
- Citations
- 3
- Size
- 10.1 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on006647
Poetry Assessment EEG Dataset 2
EEG…Creativity — using a 7-point scale. The full study involved 51 participants…
- Participants
- 4
- Size
- 4.29 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- nm000274
BEETL Competition 2021 Motor Imagery Dataset B — transfer learning benchmark
EEGBeetl2021-B is a preprocessed 32-channel EEG dataset from the NeurIPS 2021 BEETL competition designed for benchmarking transfer learning and domain adaptation algorithms in motor imagery brain-computer interfaces. The dataset comprises EEG recordings from 2 healthy subjects performing 4-class motor imagery tasks (left hand, right hand, feet, and rest) sampled at 200 Hz, with 1590 total trials organized for cross-subject and cross-dataset generalization assessment.
- Participants
- 2
- HED
- v8.4.0
- Size
- 31.3 MB
- Updated
- Jun 23, 2026