on003478
EEG: Depression rest
EEG Zarr
…unstable BDI between mass assessment and lab assessment (1-4 months) - James…
- Participants
- 122
- Channels
- 66 (10-10)
- Citations
- 15
- Size
- 10.6 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
Discover datasets
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- on003838
EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest
BEH EEG ZarrRaw 64-channel EEG, electrocardiography, photoplethysmography, pupillometry and behavioral data from 86 participants during 4 minutes of eyes-closed rest and a digit span serial recall task. Participants memorized or passively listened to auditory digit sequences of 5, 9, or 13 items. The dataset supports work on cognitive load discrimination, event-related and oscillatory dynamics during encoding and maintenance, and links between working memory, central and peripheral physiology.
- Participants
- 86
- Channels
- 63 (10-10)
- Citations
- 65
- Size
- 253 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on003751
Dataset on Emotion with Naturalistic Stimuli (DENS)
BEH EEG Zarr…given by subject on self-assessment scales-valence, arousal, dominance, liking, familiarity…
- Participants
- 40
- Channels
- 128
- Citations
- 3
- Size
- 4.46 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on005815
A Human EEG Dataset for Multisensory Perception and Mental Imagery
EEG ZarrThe YOTO (You Only Think Once) dataset is a human EEG resource for studying multisensory perception and mental imagery. Twenty participants completed tasks with unimodal and multimodal (visual, auditory, and combined) cues while EEG was recorded at 1000 Hz, and they gave self-reported vividness ratings of their imagery. Technical validation with event-related potentials and power spectral density analyses confirmed data reliability and distinct neural responses across stimuli, supporting research on neural decoding, perception, and cognitive modeling.
- Participants
- 20
- Channels
- 30
- Size
- 9.91 GB
- Version
- v1.0.0
- Updated
- Jun 20, 2026
- on007655
MorseEEG-ATP
BEH EEG Zarr…Second, at the level of assessment methodology, the dataset combines multitask conditions…
- Participants
- 32
- Channels
- 62 (10-10)
- Size
- 14.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- on004973
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
NIRSThis dataset contains functional near-infrared spectroscopy (fNIRS) recordings of prefrontal cortex activity from 20 participants (ages 21-46; 5 female, 15 male) in a driving simulator. Participants experienced fourteen types of highly automated driving scenarios, and the dataset accompanies scenario data and subjective danger ratings. It is intended to support study of prefrontal activity differences between low-risk and high-risk driving episodes, with potential application to brain-computer interfaces and improving safety of the intended functionality (SOTIF).
- Participants
- 20
- Size
- 2.32 GB
- Version
- v1.0.0
- Updated
- Jun 18, 2026
- on007865
Placebo Neuroepo multisession Phase II and III
EEG…Clinical and EEG assessments were conducted at baseline (pre-intervention) and after…
- Participants
- 24
- Channels
- 19 (10-20)
- Size
- 271 MB
- Version
- v1.0.0
- Updated
- Jun 19, 2026
- on008496
EEG RKI
EEG ZarrA collection of electroencephalography (EEG) recordings from 15 students (8 male, 7 female, aged 21-23) performing essay-writing tasks. The task was designed to assess cognitive conditions such as creativity, memory, and critical thinking under different generative AI interaction conditions. The dataset supports studies of brain connectivity during student learning processes with Gen-AI.
- Participants
- 15
- Channels
- 14 (other)
- Size
- 1.17 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026
- on003474
EEG: Probabilistic Selection and Depression
EEG…had unstable BDI from pre-assessment to test session. Code is included…
- Participants
- 122
- Channels
- 66 (10-10)
- Citations
- 89
- Size
- 16.6 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- nm000268
Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEG ZarrOpen-access EEG dataset from Experiment B of Shin et al. (2017), recorded alongside NIRS for hybrid brain-computer interface research. 29 healthy participants performed cued mental arithmetic (serial subtraction) versus resting-baseline trials across alternating sessions. This derivative release contains preprocessed 30-channel EEG (CAR, 0.5-50 Hz bandpass, ICA-based EOG rejection, 200 Hz) with HED event annotations, formatted for benchmarking single-trial classification in MOABB.
- Participants
- 29
- Channels
- 30 (10-05)
- Citations
- 95
- HED
- v8.4.0
- Size
- 6.62 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026