on006065
TSS_iEEG
iEEG
…Closed-loop control of theta oscillations enhances human hippocampal network connectivity”* For…
- Participants
- 7
- Size
- 9.63 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neural oscillations" · page 6 of 10 · ranked by relevance
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- on007095
RNS_Epilepsy-iBIDS
iEEGA long-term intracranial electroencephalography (iEEG) dataset from 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices, comprising bilateral recordings from epileptic lesion areas. Each recording captures 90 seconds of dual-channel iEEG centered on stimulation events, with detailed stimulation parameters and seizure event markers. The dataset enables investigation of seizure onset pattern evolution and iEEG characteristic changes following electrical stimulation therapy.
- Participants
- 8
- Size
- 491 MB
- Version
- v1.0.0
- Updated
- Jul 10, 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
- nm000132
ERP CORE
EEG…locking of alpha-band EEG oscillations to the stimulus sequence. Each block…
- Participants
- 40
- Channels
- 30 (10-10)
- Citations
- 95
- HED
- v8.4.0
- Size
- 17.5 GB
- Version
- v1.1.1
- Updated
- Jul 10, 2026
- on004785
EEG data for paper titled - Precise cortical contributions to feedback sensorimotor control during reactive balance
EEGThis dataset contains electroencephalography (EEG) recordings collected to investigate the precise cortical contributions to feedback sensorimotor control during reactive balance tasks. The data supports research examining how the brain processes sensory feedback and generates motor commands to maintain postural stability in response to perturbations.
- Participants
- 17
- Channels
- 32 (10-10)
- Size
- 351 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006107
iEEG_Neural_spatial_volatility
iEEG[
- Size
- 44.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006802
Collaborative rule learning promotes interbrain information alignment
EEGThis dataset comprises EEG recordings from 24 dyads of participants engaged in collaborative rule learning and categorization tasks. Participants first negotiated rules for a 4-way categorization task, then performed the task while EEG was recorded, with pre- and post-test assessments on identical stimuli. The study investigates information alignment between interacting brains during collaborative learning.
- Participants
- 24
- Size
- 62.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005410
Semantic_conditioning
EEG…Contingency awareness shapes neural responses in fear conditioning. https://doi.org/10…
- Participants
- 81
- Channels
- 63 (10-10)
- Size
- 19.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications
EEGThis dataset comprises multi-session, multi-task EEG 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 applications and mental workload estimation in neuroergonomic contexts. The dataset is in raw, unpreprocessed state and has been formatted according to BIDS standards for accessibility and reproducibility.
- Participants
- 15
- Channels
- 61 (10-10)
- Citations
- 59
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026