on005929
Motion-Yucel2014
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005929-blue…
- Size
- 68.5 MB
- Updated
- Jun 18, 2026
Discover datasets
100 results for "Multimodal neuroimaging" · page 10 of 10 · ranked by relevance
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- ds006648
Poetry Assessment EEG Dataset 1
EEG- Participants
- 47
- nm000166
M3CV: Multi-subject, Multi-session, Multi-task EEG Database
EEG64-ch EEG, 95 subjects, 2 sessions, 6 paradigms (13 tasks). BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666
- Citations
- 25
- Size
- 21.6 GB
- Updated
- May 18, 2026
- on005935
Mirror Neuron Study
NIRS[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005935-blue…
- Size
- 738 MB
- Updated
- Jun 18, 2026
- on004502
Anticipatory differences between Attention and Expectation
EEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004502-blue…
- Size
- 59.4 GB
- Updated
- Jun 24, 2026
- nm000178
BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset
EEGThis dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
- Size
- 2.08 GB
- Updated
- Jun 23, 2026
- on006903
ball_squeeze_2025
NIRS[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006903-blue…
- Size
- 5.42 GB
- Updated
- Jun 18, 2026
- on003768
Simultaneous EEG and fMRI signals during sleep from humans
ANAT EEG FUNCThis dataset comprises simultaneous EEG and fMRI recordings from 33 healthy human participants during sleep and wakefulness. The study captures coordinated electrophysiological and hemodynamic signals using a 32-channel MR-compatible EEG system synchronized with BOLD fMRI acquisition. The experimental protocol includes anatomical imaging, resting-state sessions before and after a visual-motor adaptation task, and multiple sleep sessions with corresponding sleep stage annotations. EEG signals provide direct measures of electrophysiological activity and sleep stage information, while fMRI captures hemodynamic responses, enabling investigation of the relationship between neural activity during sleep-wake transitions.
- Citations
- 17
- Size
- 86.5 GB
- Updated
- Jun 22, 2026
- on005776
Electrical_Thermal_FingerTapping_2015
NIRS[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005776-blue…
- Size
- 1.20 GB
- Updated
- Jun 18, 2026
- on003039
free walking study
EEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003039-blue…
- Citations
- 31
- Size
- 6.55 GB
- Updated
- Jun 21, 2026