nm000156
Hybrid EEG-fNIRS MI dataset for ICH from Shi et al 2025
EEG Zarr verified
- Participants
- 37
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 2.59 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
80 results for "multisensory integration" · page 5 of 8 · ranked by relevance
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- on007420
A Light Weight Multi-Distance fNIRS Dataset for Ball-Squeezing Task and Purposeful Motion Artifact Creation Task
NIRSThis high-density functional near-infrared spectroscopy (fNIRS) dataset comprises neuroimaging recordings from the motor cortex during three experimental paradigms: resting state, ball-squeezing motor tasks (both hands performed sequentially), and purposeful motion artifact creation. The dataset includes concurrent accelerometer measurements and is designed to support the development and validation of motion artifact correction algorithms in fNIRS neuroimaging.
- Participants
- 12
- Size
- 572 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000153
Langer et al. 2017 — Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)
EEG Zarr unverifiableMIPDB is a multimodal neuroimaging resource comprising high-density EEG (128-channel, 500 Hz) and eye-tracking data collected from 111 participants spanning childhood to adulthood. Participants completed a standardized battery of cognitive and perceptual tasks including resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning, and symbol search. This dataset enables investigation of information-processing maturation across human development.
- Participants
- 111
- Size
- 110 GB
- Version
- v1.0.0
- Updated
- Aug 14, 2026
- on004473
sEEG Forced Two-Choice Task
ANAT BEH iEEGThis dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.
- Participants
- 8
- Citations
- 5
- Size
- 14.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006593
cBCI Matrix Multimodal Dataset
EEGThis dataset comprises simultaneous EEG and eye-tracking recordings from 21 participants performing a matrix-based brain-computer interface (BCI) typing task using a single-character-presentation paradigm. Data were collected at Northeastern University in 2023 using the BciPy software platform, including calibration and copy-spelling sessions with event markers for target and non-target stimuli. The dataset supports research on multimodal sensor fusion for EEG-based BCI typing systems.
- Participants
- 21
- Channels
- 19 (10-20)
- Size
- 616 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006890
Longitudinal Multitask Wireless ECoG Data from Two Fully Implanted Macaca fuscata
iEEGA longitudinal wireless subdural electrocorticography (ECoG) dataset from two fully implanted macaque monkeys (Macaca fuscata), organized in BIDS-iEEG format. The dataset comprises multiple recording sessions acquired weekly using an inductively powered wireless implant during rest and task-based conditions (pressing, reaching, listening, and sensorimotor tasks). This resource enables reproducible research in primate neurophysiology and brain-computer interface development. The dataset was independently curated and reorganized from in-house raw recordings (.bin files) using a custom BIDS converter. The original in-house raw recordings that served as the source for this BIDS-organized dataset are not publicly released. While a related version exists on OpenNeuro (ds006890), this dataset represents an independently maintained BIDS reorganization of the original in-house recordings.
- Participants
- 2
- Citations
- 4
- Size
- 41.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002814
A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans
ANAT EEG FUNCA multimodal neuroimaging dataset designed to investigate the spatiotemporal dynamics of visual processing in humans. The dataset combines multiple neuroimaging modalities—electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and structural MRI—to characterize neural responses during visual tasks. This comprehensive resource provides simultaneous EEG-fMRI recordings that enable investigation of the temporal and spatial organization of visual cortical processing, bridging the high temporal resolution of EEG with the high spatial resolution of fMRI.
- Participants
- 21
- Size
- 48.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007554
Multimodal dataset from the CMx7-MM Experiment
BEH EEG NIRSThis dataset comprises raw multimodal recordings from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. Data include EEG, fNIRS, ECG, EMG, torque/kinematic, behavioral (push-button), and subjective (sleepiness, cognitive load) measures, organized according to the BIDS standard. The dataset supports research into neurophysiological correlates of cognitive-motor interactions and dual-task performance.
- Participants
- 30
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 4.21 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEGThis dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
- Participants
- 20
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000115
Zhou2016
EEG Zarr verified- Participants
- 4
- Channels
- 14 (10-10)
- Citations
- 82
- Size
- 152 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026