Surrey cEEGrid sleep data set
…For more information, see the following link: https://bids-specification.readthedocs.io…
- Participants
- 20
- Channels
- 6 (other)
- Citations
- 92
- Size
- 69.1 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
…For more information, see the following link: https://bids-specification.readthedocs.io…
A visual event-related potential dataset of 124-channel EEG recorded from 10 healthy participants viewing photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, inanimate object). It contains 5,184 trials, with 72 images per category shown for 500 ms with a 750 ms interstimulus interval. The data support research on neural object representations through single-trial EEG classification and representational similarity analysis, and are distributed in BIDS format via MOABB.
…The file "lppHK_timing_word_information.xlsx" includes all the timing information…
EEG dataset on auditory streaming and interoception, collected at the University of Chicago by Veillette, Joshi, Li, and Nusbaum. Data are organized in BIDS format (BrainVision files) and released under a CC0 license.
…Further information is available on request from [cancta.net](https://cancta.net…
…the source randomized the date information in the EDF metadata). ## Task (from…
…Further information is available on request from [cancta.net](https://cancta.net…
FOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants. In one session, EEG was recorded during a food categorisation task in which participants judged images as healthy, tasty, or something they were willing to eat. In a second session, participants completed a food go/no-go task, a paired choice task, and questionnaires on dietary style and motivation. The dataset also includes raw and cleaned EEG data and normative ratings of the food stimuli from online samples.
…Upon arrival, participants read the information sheet describing the general aims of…
MEG dataset collected across multiple sites as part of a study on enabling cross-site pooling of magnetoencephalography data. The recordings were converted to BIDS using MNE-BIDS and follow the MEG-BIDS specification.