nm000133
Alljoined1
EEG Zarr
…Researcher shall use the Dataset only for non-commercial research and educational…
- Participants
- 8
- Citations
- 5
- Size
- 8.04 GB
- Version
- v1.0.4
- Updated
- Sep 23, 2026
Discover datasets
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- on007813
EEG Practice Set
EEG Zarr…as part of an EEG Workshop by the Student Network for Neuroscience.
- Participants
- 4
- Size
- 481 MB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- on003483
Logical reasoning study
MEG Zarr[
EEG Zarr…for Translational Neuroscience, University of Copenhagen, Denmark. - Department of Neuroscience, University of…
- Participants
- 92
- Channels
- 1
- Size
- 6.08 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on008082
A COVID-19 survivors and close contacts EEG dataset
EEG Zarr…on008082) July 1st 2026 Cuban Neuroscience Center This is a dataset containing…
- Participants
- 173
- Channels
- 21 (10-20)
- Citations
- 1
- Size
- 1.10 GB
- Version
- v1.0.0
- Updated
- Jul 1, 2026
- on005356
MEG: Major Depression & Probabilistic Learning Task
MEG Zarr…Cognitive Neuroscience and Neuroimaging An MEG study (306-sensor Elekta Neuromag System…
- Participants
- 85
- Size
- 162 GB
- Version
- v1.0.0
- Updated
- Jun 26, 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
- on007823
A COVID-19 survivors and close contacts EEG dataset
EEG Zarr…on007823) May 21st 2026 Cuban Neuroscience Center This is a dataset containing…
- Participants
- 169
- Channels
- 21 (10-20)
- Size
- 1.07 GB
- Version
- v1.0.0
- Updated
- May 28, 2026
- nm000253
Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
iEEG ZarrThe Brain Treebank is a large-scale dataset of intracranial (stereo-EEG) recordings from 10 epilepsy patients who watched Hollywood movies. Signals were sampled at 2048 Hz from 1,688 electrodes in total, across 26 movie trials and about 43 hours of data. The movie audio was transcribed with manually annotated word onsets, and each transcript was parsed into Universal Dependencies syntax trees. This makes the dataset a resource for studying the neural basis of naturalistic language. This record provides the data in BIDS-iEEG format.
- Participants
- 10
- Size
- 257 GB
- Version
- v1.1.0
- Updated
- Sep 21, 2026