ds004980
EEG data set for a architectural affordances task
EEG
- Participants
- 17
Discover datasets
72 results for "neuromarketing" · page 4 of 8 · ranked by relevance
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- nm000303
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study O)
EEGBigP3BCI Study O is a P300-based brain-computer interface dataset comprising EEG recordings from 18 ALS subjects across 2 sessions each. Participants performed a visual speller task using a 9x8 character grid with supervised/checkerboard stimulus paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz, annotated with target and non-target event labels, and is part of the larger BigP3BCI collection representing one of the most comprehensive public P300 BCI datasets.
- Size
- 981 MB
- Updated
- Jun 3, 2026
- ds003751
Dataset on Emotion with Naturalistic Stimuli
EEG- Participants
- 40
- ds007322
Personalized smartphone notifications bias auditory salience across processing stages
EEG- Participants
- 57
- ds003766
HD-EEG task with mouse tracking
EEG- Participants
- 31
- ds006850
Urban Appraisal: Physiological Recording during Rating of Different Urban Environments
EEG- Participants
- 63
- on007137
PURSUE N2pc Visual Search
EEGThe PURSUE N2pc Visual Search dataset comprises event-related potential (ERP) recordings from a visual search task conducted across three undergraduate institutions. Data were collected from participants in 2017-2018 and represent a component of the ERP CORE resource for standardized human electrophysiological research. The dataset includes demographic information and is designed to facilitate investigation of the N2pc component, a neural marker of attentional selection during visual search.
- Size
- 12.2 GB
- Updated
- Jun 3, 2026
- ds006866
Discrepancy between self-report and neurophysiological markers of socio-affective responses in lonely individuals
EEG- Participants
- 148
- nm000340
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study J)
EEGBigP3BCI Study J is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 character grid speller task. 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 16-channel EEG with a standard 10-20 montage and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
- Size
- 426 MB
- Updated
- Jun 3, 2026
- ds005688
visStim
EEG- Participants
- 20