ds007605
EPOC
EEG
# EPOC July 2023 - July 2025 ## Project discription A project to investigate neurophysiological…
- Participants
- 97
Discover datasets
100 results for "neurophysiological biomarkers" · page 4 of 10 · ranked by relevance
-
- ds005169
Dataset of intracranial EEG during cortical stimulation evoking visual effects
iEEG MRI- Participants
- 20
- on004350
Executive Functionning Study for Assessing the Effect of Neurofeedback
EEG- Size
- 26.4 GB
- Updated
- Jun 1, 2026
- nm000277
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study G)
EEGBigP3BCI Study G is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 checkerboard visual speller task. This derivative dataset is Study G of 20 studies in the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects total. The data were acquired at 256 Hz using 16-channel EEG with a g.USBamp amplifier and include target and non-target event classifications suitable for machine learning applications.
- Size
- 327 MB
- Updated
- Jun 3, 2026
- ds004477
PES - Pandemic Emergency Scenario
EEG…is divided in 64 sequences. Neurophysiological markers and behavioural information is obtained…
- Participants
- 9
- ds002791
DataSet1
CHANNELS EEG ELECTRODES EVENTS- Participants
- 23
- ds006979
Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An ERP Study
EEG…Primary Neurophysiological Measurements The study leverages the following ERP components to index…
- Participants
- 53
- ds004774
Automatic Evoked Response Detection (ER-Detect) dataset
iEEG- Participants
- 14
- ds007222
Visual Occlusions with Treadmill Walking Speeds EEG
EEG…project ran *** - [ To understand the neurophysiological responses of visual processing, we investigated…
- Participants
- 15
- nm000336
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study R)
EEGBigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 ALS subjects performing a 9x8 character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
- Size
- 1.95 GB
- Updated
- Jun 3, 2026