on004012
BRAR_NQ
MEG
…MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data…
- Participants
- 30
- Citations
- 1
- Size
- 78.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "scientific data" · page 8 of 10 · ranked by relevance
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- on003703
Frequency Tagging of Syntactic Structure or Lexical Properties
MEG…MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data…
- Participants
- 34
- Citations
- 1
- Size
- 195 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000136
Guttmann-Flury et al. 2025 (P300) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEG Zarr verified…Scientific Data, 12, 587. https://doi.org/10.1038/s41597-025-04861…
- Participants
- 31
- Channels
- 62 (10-10)
- Citations
- 11
- HED
- v8.4.0
- Size
- 40.7 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000241
CerebroVoice: Bilingual sEEG Speech Dataset
iEEG…Scientific Data, 6, 102. https://doi.org/10.1038/s41597-019-0105…
- Participants
- 2
- Size
- 1.87 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006260
Dataset of psychophysiological data from children with learning difficulties who strengthen reading and math skills through assistive technology
EEGThis dataset comprises psychometric and electroencephalographic (EEG) data collected from Mexican children with reading or math learning difficulties, aimed at evaluating the efficacy of the assistive online learning platform Smartick in improving academic skills. Data were collected from 76 subjects across two study groups (reading and math difficulties), each divided into experimental and control subgroups, with EEG and psychometric assessments performed before and after a three-month intervention period. The EEG recordings include resting-state and task-related conditions (reading comprehension or arithmetic problem solving), accompanied by psychometric measures such as reading speed, comprehension, math skills, selective attention, and IQ.
- Participants
- 76
- Channels
- 32 (10-10)
- Citations
- 2
- Size
- 2.76 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on002725
A dataset recording joint EEG-fMRI during affective music listening
ANAT EEG FUNC…This dataset was recorded from 21 healthy adult participants viia a joint…
- Participants
- 21
- Channels
- 31 (10-10)
- Size
- 15.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006317
Chisco-2.0
EEG…Scientific Data, 6, 103.https://doi.org/10.1038/s41597-019-0104…
- Participants
- 2
- Channels
- 124 (10-05)
- Size
- 52.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003082
Auditory Cortex Mapping Dataset
ANAT MEGThis MEG dataset comprises auditory cortex mapping data from a single subject acquired using a CTF 275 system at 120 kHz sampling rate. The experiment involved passive listening to 1,795 iso-intensity pure tones ranging from 100 Hz to 21.5 kHz presented binaurally over a 12-minute acquisition run. The dataset includes anatomical MRI data processed with FreeSurfer and serves as a reference example for MEG-based auditory cortex mapping techniques.
- Participants
- 2
- Citations
- 2
- Size
- 15.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005520
Research data supporting 'EEG recording during playing MOBA game'
EEG…Zhou, and will submit to Scientific Data for publication. #### EEG acquisition * EEG…
- Participants
- 23
- Channels
- 66 (10-10)
- Size
- 276 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007012
FOODEEG: An open dataset of human electroencephalographic and behavioural responses to food images
BEH EEGFOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.
- Participants
- 117
- Size
- 91.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026