on005491
Categorized Free Recall with Open-Loop Stimulation at Encoding
BEH iEEG Zarr
…The word lists in this paradigm follow a specific semantic construction. Each…
- Participants
- 19
- Size
- 22.5 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
Discover datasets
-
- on003766
A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
BEH EEG Zarr…the dynamic decision process of semantics and preference choices in the human…
- Participants
- 31
- Channels
- 129 (egi-geodesic)
- Citations
- 5
- Size
- 153 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on005946
ERC_CoG PROMENADE - WP2 - MetaImagery (Metaphor and Mental Imagery)
EEG Zarr…participants’ vocabulary (i.e., lexical-semantic skills) and mental imagery abilities were…
- Participants
- 39
- Channels
- 58 (10-10)
- Size
- 14.8 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on006647
Poetry Assessment EEG Dataset 2
EEG ZarrThis dataset contains 64-channel EEG recordings and behavioural ratings from four participants who read and evaluated 210 short English-language texts: Haiku, Senryu, and non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. These participants' recordings were acquired in segments because of session interruptions and were concatenated during preprocessing. They are released as a companion to the main Poetry Assessment EEG Dataset 1 for completeness and transparency.
- Participants
- 4
- Channels
- 64 (10-10)
- Size
- 4.29 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on003483
Logical reasoning study
MEG ZarrMEG dataset from a logical reasoning study collected by the Cognitive and Computational Neuroscience Laboratory (UPM - UCM). The dataset is organized in BIDS format and mirrored on NEMAR from the OpenNeuro deposit ds003483.
- Participants
- 21
- Size
- 68.3 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- nm000113
2020 BCI competition, track 3
EEG ZarrEEG recordings from 15 participants performing imagined speech of five commands ("Hello", "Help me", "Stop", "Thank you", "Yes"), released for the 2020 BCI Competition Track 3. The data are split into training, validation and test runs to support machine-learning decoding of imagined speech for brain-computer interfaces. The dataset was converted from the original MATLAB files to BIDS-compliant EDF with trial annotations.
- Participants
- 15
- Channels
- 64 (10-10)
- Size
- 585 MB
- Version
- v1.0.0
- Updated
- Mar 14, 2026
- on006648
Poetry Assessment EEG Dataset 1
EEG ZarrThis dataset contains 64-channel EEG recordings and behavioural ratings from participants who read and evaluated 210 short English-language texts: 70 Haiku, 70 Senryu, and 70 non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. This first of two BIDS datasets includes 47 participants whose recordings passed technical validation. Psychometric questionnaire data and resting-state EEG are also provided.
- Participants
- 47
- Channels
- 64 (10-10)
- Size
- 45.4 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on004860
Investigating the cognitive conflict triggered by moral judgment of accidental harm : an event-related potentials study
EEG Zarr…The agent's intention and semantic congruency were manipulated orthogonally, leading to…
- Participants
- 31
- Channels
- 32
- Size
- 3.79 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- on005273
Neural representation of consciously seen and unseen information
EEG ZarrEEG dataset investigating the neural representation of consciously seen and unseen information. The recordings were collected by Rodríguez-San Esteban, Chica, and González-López and are shared in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds005273).
- Participants
- 33
- Channels
- 63 (10-10)
- Size
- 44.4 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- nm000257
Imagined speech EEG dataset — short words condition (Nguyen et al. 2017)
EEG ZarrPreprocessed 64-channel EEG recordings from 6 healthy participants performing imagined speech of three short words (out, in, up), cued by auditory and visual stimuli. The dataset contains 1800 trials of a single session, analyzed in the source study with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. It is re-hosted in BIDS format from the MOABB benchmark collection.
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 99
- HED
- v8.4.0
- Size
- 1.90 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026