on005185
Ear-EEG Sleep Monitoring 2019 (EESM19)
BEH EEG Zarr
…part of development and quality assessment of the ear-EEG as a…
- Participants
- 20
- Citations
- 98
- Size
- 783 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
Discover datasets
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- on004840
Dataset of electrophysiological signals (EEG, ECG, EMG) during Music therapy with adult burn patients in the Intensive Care Unit.
EEG Zarr…complementary measures were obtained. - **Pain Assessment**: A Visual Analog Scale (VAS) was…
- Participants
- 9
- Channels
- 8
- Size
- 1.75 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- nm000272
Romani et al. 2025 — BrainForm: a Serious Game for BCI Training and Data Collection (P300 ERP, University of Trento)
EEG ZarrThis dataset contains scalp EEG recordings from 22 participants who played BrainForm, a gamified P300 event-related potential brain-computer interface built for scalable data collection with consumer hardware and a minimal setup. Participants completed repeated runs of a P300 spelling/selection task at two task complexities. The data support study of BCI skill acquisition across sessions and of how different visual stimulation textures affect perception and performance.
- Participants
- 22
- Channels
- 8 (10-10)
- HED
- v8.4.0
- Size
- 237 MB
- Version
- v1.0.6
- Updated
- Aug 20, 2026
- nm000157
BigP3BCI Study B — 6x6 checkerboard, multi-session (19 healthy subjects)
EEG ZarrThis dataset contains EEG recordings from 19 healthy participants from Study B of the bigP3BCI collection. Participants used a P300-based speller with a 6x6 checkerboard character grid over 8 sessions each. Data were recorded from 16 EEG channels at 256 Hz with a g.USBamp and annotated with HED tags for target and non-target events. The dataset is a MOABB-derived version of the bigP3BCI resource hosted on PhysioNet.
- Participants
- 19
- Channels
- 16 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 4.28 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- on006850
Urban Appraisal: Physiological Recording during Rating of Different Urban Environments
EEG Zarr…the same lighting conditions. - [ ] Quality assessment of the data Data is of…
- Participants
- 63
- Channels
- 66 (other)
- Size
- 34.7 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on006979
Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An ERP Study
EEG ZarrEEG dataset from 53 participants (N=39 used for stimulus-locked ERP analyses) performing a bilateral change-detection task to study how perceptual grouping by color repetition affects visual working memory (VWM). The design isolates neural correlates of individuation encoding, maintenance, initial comparison, percept-memory comparison, and late decision-making using the N2pc, CDA, N2, and FN400 ERP components. Conditions varied the number of items, color repetition, and spatial proximity of repeated items.
- Participants
- 53
- Channels
- 64 (10-10)
- Size
- 269 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on007827
Loneliness EEG - Roving Oddball Task
BEH EEG Zarr…face stimulus on three Self-Assessment Manikin (SAM) dimensions — **valence**, **arousal**, and…
- Participants
- 99
- Channels
- 72 (10-10)
- Size
- 72.1 GB
- Version
- v1.0.0
- Updated
- May 27, 2026
- nm000254
Naturalistic viewing: An open-access dataset using simultaneous EEG-fMRI
ANAT EEG FUNC ZarrThis dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.
- Participants
- 22
- Channels
- 61 (10-10)
- Citations
- 45
- Size
- 256 GB
- Version
- v1.0.0
- Updated
- Jun 8, 2026
- on007222
Visual Occlusions with Treadmill Walking Speeds EEG
EEG Zarr…each condition] Control variables - [ ] Quality assessment of the data Provide a short…
- Participants
- 15
- Channels
- 120 (other)
- Size
- 3.31 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- nm000197
BigP3BCI Study M — 9x8 adaptive/checkerboard (21 ALS subjects)
EEG ZarrThis dataset is a BIDS-formatted derivative of Study M from the bigP3BCI collection, a large open P300-based brain-computer interface resource. It contains 16-channel EEG recorded at 256 Hz from 21 participants using a 9x8 character speller grid with adaptive and checkerboard stimulus paradigms. Target and non-target events are annotated with HED tags, supporting machine-learning work on P300 speller classification.
- Participants
- 21
- Channels
- 16 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 2.38 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026