on006437
LIGHT Hypnotherapy
EEG Zarr
…Following this brief period of reflection, awareness was drawn to a light…
- Participants
- 9
- Channels
- 64 (10-10)
- Size
- 4.31 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
Discover datasets
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- on007096
PURSUE N170 Face Perception
EEG ZarrEEG dataset from the PURSUE project of a face perception task designed to elicit the N170 event-related potential. Data were collected from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia during 2017 and 2018. The task follows the ERP CORE paradigm, and the dataset includes participant race information.
- Participants
- 292
- Channels
- 32 (10-10)
- Size
- 11.6 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
- nm000385
Siena Scalp EEG Database: video-EEG monitoring of 14 adults with epilepsy (47 annotated seizures)
EEG…age, sex, ILAE seizure type (IAS focal onset impaired awareness; WIAS focal…
- Participants
- 14
- Channels
- 29 (other)
- Size
- 40.6 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on003801
Neural Tracking to go
EEG ZarrA mobile EEG dataset of auditory attention from 20 participants performing a two-competing-speaker paradigm. Participants either sat on a chair or walked an indoor route while attending to one of two speakers. Salient environmental events presented from in front of the participant were used to disrupt attention, allowing neural tracking of speech to be studied in realistic, mobile conditions.
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- May 13, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEG ZarrRaw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.
- Participants
- 19
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jun 17, 2026
- nm000310
Guttmann-Flury et al. 2025 (SSVEP) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEG ZarrA multimodal SSVEP dataset of 64-channel EEG, an EOG channel, and stimulus markers recorded from 31 healthy participants over up to 3 sessions each (63 sessions in total). Participants viewed LED stimuli flickering at four frequencies in a 4-class SSVEP paradigm (48 trials per session). It is the SSVEP component of a larger resource combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms, and is formatted for use with MOABB.
- Participants
- 11
- Channels
- 62 (10-10)
- Citations
- 14
- HED
- v8.4.0
- Size
- 28.6 GB
- Version
- v1.0.4
- Updated
- Oct 8, 2026
- on004844
T22
EEG ZarrEEG dataset (TX22) from a simulated, semi-automated driving experiment using a leader-follower paradigm. It examines trust-based decisions about handing off and taking over control authority. The study tests whether real-time predictions of when intervention is needed can be used to give the driver feedback that supports active trust management. It builds on an earlier experiment (ARL_TX20) that used the same paradigm.
- Participants
- 17
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 22.3 GB
- Version
- v1.0.0
- Updated
- Jun 25, 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
- on008083
Hierarchical Priors in Perceptual Uncertainty and Psychosis Proneness - A Random-Dot Kinematogram task with low- and high-level priors
EEG ZarrEEG-BIDS dataset of cue-locked EEG recordings and event annotations from 43 neurotypical adults performing a random-dot kinematogram motion discrimination task. The task dissociates low-level priors (implicitly learned tone-motion contingencies) from high-level priors (a cover story about tinted glasses) against a neutral baseline. The data support analyses of hierarchical priors with signal detection theory, drift-diffusion modeling, and occipital oscillatory and aperiodic EEG activity, alongside psychosis-proneness and psychological flexibility questionnaires.
- Participants
- 43
- Channels
- 31 (10-10)
- Size
- 8.76 GB
- Version
- v1.0.0
- Updated
- Jul 2, 2026