on006107
iEEG_Neural_spatial_volatility
iEEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006107-blue…
- Participants
- 166
- Size
- 11.8 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "electroencephalography" · page 8 of 10 · ranked by relevance
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- on004854
TX18
EEGImported from OpenNeuro ds004854
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 2
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004859
iEEG on children during Stroop task
iEEG[
- Size
- 13.8 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on005274
UV_EEG
EEG[
- Size
- 71.8 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on005672
PerceiveImagine
EEG[
- Size
- 4.23 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004851
HID
EEG[
- Size
- 56.6 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004819
Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain
iEEGThis dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.
- Participants
- 1
- Size
- 1.36 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on001849
RS_TMSEEG_Data
EEG[
- Size
- 44.5 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004952
ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding
EEGChineseEEG is a high-density EEG dataset with simultaneous eye-tracking recordings from 10 participants silently reading Chinese novels for approximately 11 hours each. The dataset includes raw and preprocessed EEG data at multiple filtering levels, eye-tracking data, Chinese text materials from two novels (The Little Prince and Garnett Dream), and BERT-based Chinese text embeddings. This resource enables investigation of semantic alignment between neural representations and natural language processing model embeddings during Chinese language comprehension.
- Participants
- 10
- Channels
- 128 (egi-geodesic)
- Size
- 697 GB
- Version
- vv1.0.0
- Updated
- Jul 22, 2026