on007663
CrossModal Study
MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007663-blue…
- Participants
- 27
- Citations
- 2
- Size
- 132 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
Discover datasets
100 results for "neural oscillations" · page 6 of 10 · ranked by relevance
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- nm000132
ERP CORE
EEG…locking of alpha-band EEG oscillations to the stimulus sequence. Each block…
- Participants
- 40
- Channels
- 30 (10-10)
- Citations
- 92
- HED
- v8.4.0
- Size
- 17.5 GB
- Version
- v1.1.1
- Updated
- Jul 10, 2026
- on007095
RNS_Epilepsy-iBIDS
iEEGThis dataset comprises long-term intracranial EEG (iEEG) recordings from 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices, recorded from bilateral epileptic lesion areas over periods exceeding six months. Each recording captures dual-channel iEEG activity around electrical stimulation events, including pre- and post-stimulation periods, with associated stimulation parameters and event markers. The dataset is intended to support analysis of seizure onset pattern alterations during epilepsy progression and iEEG characteristic changes following electrical stimulation.
- Participants
- 8
- Citations
- 1
- Size
- 498 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on002720
A dataset recorded during development of a tempo-based brain-computer music interface
EEGThis dataset contains electroencephalogram (EEG) recordings from 19 healthy participants using a brain-computer music interface designed to enable real-time control of musical tempo through motor imagery. Participants performed kinesthetic motor imagery tasks—imagining squeezing a ball to increase tempo or relaxing to decrease tempo—across nine experimental runs including a calibration phase. The data were collected at 1 kHz sampling rate with 20-second epochs synchronized to music clips, providing a resource for investigating the neural correlates of intentional tempo modulation and music-based brain-computer interface design. This dataset accompanies the publication by Daly et al. (2018). Full methodological details are available in Daly et al. (2014a, 2014b).
- Participants
- 18
- Channels
- 19 (10-20)
- Size
- 2.39 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005273
Neural representation of consciously seen and unseen information
EEG[
- Citations
- 1
- Size
- 44.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007353
HAD-MEEG
ANAT EEG MEG…spatially distributed and temporally evolving neural responses that encode visual information and…
- Participants
- 32
- Channels
- 62 (10-10)
- Citations
- 5
- Size
- 221 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications
EEGThis open-access EEG dataset comprises multi-session, multi-task recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface research and mental workload estimation in neuroergonomic applications.
- Participants
- 15
- Channels
- 61 (10-10)
- Citations
- 64
- HED
- v8.4.0
- Size
- 4.04 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004279
Large Spanish EEG
EEG…Identification of perceived sentences using deep neural networks in EEG. Journal of…
- Participants
- 56
- Channels
- 64 (10-10)
- Size
- 25.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002338
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP2
ANAT EEG FUNCThis dataset comprises simultaneous 64-channel EEG and 3T fMRI recordings from 16 subjects performing motor imagery and neurofeedback tasks. Participants were randomly assigned to receive either mono-dimensional or bi-dimensional neurofeedback displays during five experimental runs with alternating rest and task blocks. The dataset includes raw EEG data in Brain Vision format, preprocessed EEG data, BOLD fMRI acquisitions, computed neurofeedback scores from both modalities (EEG and fMRI), and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.
- Participants
- 17
- Size
- 25.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006233
Picture naming
iEEG…Naming is Shaped by Early Facilitative and Late Compensatory Neural Interactions: An…
- Participants
- 108
- Citations
- 1
- Size
- 17.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026