on004951
Braille letters - EEG
EEG Zarr
…Stimuli are Braille letters (B,C,D,L,M,N,V,Z…
- Participants
- 11
- Channels
- 63 (10-10)
- Size
- 22.0 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
Discover datasets
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- on006394
Electrophysiological markers of surprise-induced failures of visual and auditory awareness
BEH EEG ZarrEEG recordings from 33 participants who each completed both a visual and an auditory surprise task, with task order counterbalanced. The dataset supports investigation of electrophysiological markers of surprise-induced failures of visual and auditory awareness. Data from participants excluded at various analysis stages are included up to the stage of processing they reached.
- Participants
- 33
- Channels
- 16 (10-20)
- Size
- 535 MB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on003825
Human electroencephalography recordings from 50 subjects for 22,248 images from 1,854 object concepts
EEG ZarrElectroencephalography recordings from 50 participants viewing 22,248 images spanning 1,854 object concepts from the THINGS database. Images were shown in rapid serial visual presentation streams at 10 Hz while participants performed an orthogonal fixation colour change detection task. The dataset supports research on the temporal dynamics of object recognition and visual representation in the human brain.
- Participants
- 50
- Channels
- 63
- Citations
- 3
- Size
- 55.3 GB
- Version
- v1.0.0
- Updated
- Mar 14, 2026
- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
EEG ZarrTHINGS-EEG2 is a large EEG dataset from 10 participants who viewed 16,540 training images and 200 repeatedly presented test images from the THINGS database. Images were shown in rapid serial visual presentation at 5 Hz while 63-channel EEG was recorded at 1000 Hz across four sessions per subject. The dataset supports modeling of human visual object recognition and includes resting-state recordings, the authors' preprocessed epochs, and stimulus images.
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 88
- Size
- 241 GB
- Version
- v1.1.0
- Updated
- Jul 5, 2026
- on005565
Neural associations between fingerspelling, print, and signs: An ERP priming study with deaf readers
EEG ZarrEEG dataset from a masked-priming-style ERP study examining neural associations between fingerspelling, printed English words, and American Sign Language signs in deaf readers. Participants viewed 300 prime-target pairs in which primes were English words, ASL signs, or fingerspelled words, followed by four-letter English word targets, while performing an animal-detection task. The data support investigation of cross-modal and cross-script priming effects in deaf readers.
- Participants
- 24
- Channels
- 32 (10-10)
- Size
- 2.62 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on003420
HD-EEGtask(Dataset 1)
EEG ZarrHigh-density EEG (256 channels) recorded from 23 healthy right-handed volunteers in Rennes, France, during visual object naming and spelling tasks. Each participant completed two conditions with two runs each, with 74 picture stimuli per run balanced for animals/objects and long/short words. The dataset supports studies of functional brain network dynamics during language and picture-naming tasks.
- Participants
- 23
- Channels
- 256 (egi-geodesic)
- Size
- 90.4 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- on005415
Numbers
ANAT BEH iEEG ZarrStereoelectroencephalography (sEEG) recordings from epilepsy patients at Oregon Health & Science University, collected while they were in the epilepsy monitoring unit awaiting seizures. Participants were presented with auditory and visual numerical stimuli, either symbolic (Arabic numerals and spoken numbers) or non-symbolic (dots and beeps). The dataset supports investigation of the neural representation of numerical quantity across modalities and formats.
- Participants
- 13
- Size
- 13.5 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on004517
EEG recordings for semantic decoding of imagined animals and tools during auditory imagery task
EEG ZarrThis dataset contains EEG recordings from 7 participants performing an auditory imagery task, in which they imagined the sounds made by objects from the semantic categories of animals and tools for 5 seconds. It supports research on semantic decoding and brain-computer interfacing. Recordings were made with a 64-channel BioSemi system, with additional EOG, physiological, and respiration channels.
- Participants
- 7
- Channels
- 64 (10-10)
- Size
- 12.7 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- on005586
Electroencephalographic responses to the number of objects in partially occluded and uncovered scenes
EEG ZarrEEG recordings from 23 participants performing a passive viewing task with partially occluded and subsequently uncovered scenes containing game pieces on a game board. Conditions varied the number of initially visible pieces (4 or 32) and the number of pieces revealed after the occluder was removed (0 to 32). The dataset supports investigation of neural responses to object numerosity in occluded and uncovered visual scenes.
- Participants
- 23
- Channels
- 60 (10-10)
- Size
- 28.7 GB
- Version
- v1.0.0
- Updated
- Jun 27, 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 ZarrThis dataset contains 64-channel EEG recorded at 1000 Hz from 31 healthy participants performing a row/column P300 speller task with 4L and 5L grid sizes. Each participant completed three sessions. It is the P300 component of a multimodal eye-BCI collection that also includes eye-tracking and high-speed video for analyzing ocular activity across BCI paradigms. Events are annotated with HED tags as Target and NonTarget flashes.
- Participants
- 31
- Channels
- 62 (10-10)
- Citations
- 13
- HED
- v8.4.0
- Size
- 40.7 GB
- Version
- v1.0.4
- Updated
- Oct 8, 2026