nm000154
on001787
EEG
- Participants
- 24
- Channels
- 64
- HED
- v8.4.0
- Size
- 5.69 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "affective neuroscience" · page 7 of 10 · ranked by relevance
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- on003380
Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig
EEGImported from OpenNeuro ds003380
- Participants
- 12
- Size
- 1.43 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004398
planmemreplay
MEG[
EEGA longitudinal motor imagery EEG dataset from 18 brain-computer interface (BCI)-naive subjects acquired across 6 sessions (1 offline + 5 online) to investigate transfer learning and domain adaptation for calibration-free BCI training. Subjects performed left/right hand motor imagery tasks with visual feedback using 22 EEG channels sampled at 512 Hz. The dataset compares Generic Recentering (unsupervised) and Personally Assisted Recentering (supervised) domain adaptation frameworks, with features extracted as covariance matrices and classified using Riemannian geometry-based methods.
- Participants
- 18
- Channels
- 22 (10-10)
- HED
- v8.4.0
- Size
- 1.66 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on006519
Dataset of intracranial EEG during cortical stimulations evoking negative motor responses
ANAT iEEGThis dataset comprises intracranial EEG recordings from 23 patients with drug-resistant epilepsy undergoing stereo-EEG presurgical evaluation. The dataset includes 41 high-frequency stimulation events that evoked negative motor responses, with 24-second iEEG recordings per stimulation event (9-10 seconds pre-stimulation, up to 5 seconds stimulation, and 9-10 seconds post-stimulation). Stimulation parameters, contact pairs, current intensities, and evoked effects are documented in event files, enabling analysis of cortical responses to electrical stimulation.
- Participants
- 21
- Size
- 958 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007120
iEEG_comprehensive_HFA_model_part2
iEEG[ - Experiment 4
BEH EEGThe Brain, Body, and Behaviour Dataset (Experiment 4) is a multimodal neurophysiological dataset comprising simultaneous recordings of EEG, eye-tracking, cardiac, respiratory, and electrooculographic signals from 43 subjects across two sessions. Participants watched three educational videos (Stim-04, Stim-05, Stim-06) under two attention conditions. In Session 1 (attentive condition), participants viewed the videos and answered comprehension questions afterward. In Session 2 (distracted condition), participants viewed the same three videos in the same order while performing a concurrent backward counting task, with no comprehension testing. This derivative dataset supports investigation of neural and behavioral correlates of attention, learning, and cognitive load during naturalistic video viewing.
- Citations
- 4
- Size
- 5.12 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004696
HAPwave_bids
iEEG…Journal of Neuroscience (in press). # License This dataset is made available under…
- Participants
- 8
- Size
- 19.5 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on004514
Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools
EEG NIRSThis dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
- Participants
- 12
- Channels
- 64 (biosemi)
- Size
- 24.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006963
Motor Control Processes Moderate Visual Working Memory Gating Dataset
EEG…The Journal of Neuroscience, 45(47), e0673252025. https://doi.org/10.1523…
- Participants
- 32
- Channels
- 64 (10-10)
- Size
- 52.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026