on005416
Fatigue Characterization of EEG under Mixed Reality Stereo Vision
EEG
…FC5, FC6 (frontal), FT7, FT8 (temporal), C3, Cz, C4, CP3, CP4 (central…
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 21.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "Temporal Lobe" · page 7 of 10 · ranked by relevance
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- on004706
Spatial memory and non-invasive closed-loop stimulus timing
BEH EEGThis dataset contains behavioral events and electrophysiological recordings from a hybrid spatial-navigation and free recall experiment conducted at the University of Pennsylvania (2021-2022). Participants performed a virtual courier task delivering items across a town, followed by recall testing. The experiment comprised two phases: read-only sessions for generating classifier training data, and closed-loop sessions where stimulus presentation timing was optimized based on real-time neural predictions of memory encoding. The dataset supports investigation of spatial memory dynamics and the efficacy of classifier-based closed-loop stimulation for memory enhancement.
- Participants
- 34
- Channels
- 128 (biosemi)
- Citations
- 5
- Size
- 1.30 TB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003703
Frequency Tagging of Syntactic Structure or Lexical Properties
MEG[ dataset comprising intracranial recordings from one participant performing vocalized, mimed, and imagined speech tasks in Mandarin Chinese, a tonal language. The dataset supports research on speech decoding, brain-computer interfaces, and neural mechanisms of overt and covert speech production. Raw recordings sampled at 1000 Hz were converted to BIDS iEEG format with event markers indicating stimulus onsets for each speech modality.
- Participants
- 1
- Citations
- 15
- Size
- 1.89 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004519
Internal selective attention is delayed by competition between endogenous and exogenous factors
EEG[
- Citations
- 2
- Size
- 12.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000177
Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)
EEGThis dataset comprises longitudinal motor imagery EEG recordings from 18 BCI-naive subjects across six sessions (one offline, five online), designed to study transfer learning and skill acquisition in brain-computer interfaces (BCIs). It compares two domain adaptation frameworks—Generic Recentering and Personally Assisted Recentering—for calibration-free BCI training using left/right hand motor imagery with visual feedback. Data were collected at 512 Hz with 22 EEG channels and analyzed using Riemannian geometry-based classifiers.
- Participants
- 18
- Channels
- 22 (10-10)
- Citations
- 49
- HED
- v8.4.0
- Size
- 14.4 GB
- Version
- v1.0.4
- Updated
- Aug 20, 2026
- nm000254
Naturalistic viewing: An open-access dataset using simultaneous EEG-fMRI
ANAT EEG FUNCThis dataset comprises simultaneous EEG-fMRI recordings from 22 participants (ages 23-51) during naturalistic viewing, collected at the Nathan Kline Institute. The 64-channel EEG data (61 cortical channels, 2 EOG, 1 ECG) was acquired concurrently with fMRI, supplemented by eye-tracking and respiratory recordings. The dataset includes demographic information and behavioral assessments (sleep quality, caffeine intake) to investigate correlations between electrical brain activity and hemodynamic fluctuations during naturalistic stimulation.
- Participants
- 22
- Channels
- 61 (10-10)
- Citations
- 41
- Size
- 256 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000243
BNCI 2016-002 Emergency Braking during Simulated Driving dataset
EEG…sequential temporal split - **Evaluation type**: temporal_validation ## Performance (Original Study) - **Auc**: 0…
- Participants
- 15
- Channels
- 59 (10-10)
- Citations
- 81
- HED
- v8.4.0
- Size
- 14.2 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026