on004121
BCIT Mind Wandering
EEG Zarr
…Mind Wandering extended the paradigm by adding different types of background audio…
- Participants
- 21
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 23.9 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
Discover datasets
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- on007629
ROAMM
BEH EEG Zarr…naturalistic reading with **span-level mind-wandering annotations**. ROAMM provides a benchmark…
- Participants
- 1
- Channels
- 64 (10-10)
- Size
- 46.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- on001787
EEG meditation study
EEG Zarr…their level of concentration and mind wandering. The scientific article (see Reference…
- Participants
- 24
- Channels
- 64
- Size
- 5.69 GB
- Version
- v1.0.0
- Updated
- May 9, 2026
- on003523
EEG: Visual Working Memory in Acute TBI
EEG…Mind wandering probes were inserted between trials. **DATA NEVER PUBLISHED!** If youre…
- Participants
- 91
- Channels
- 65 (10-10)
- Size
- 37.5 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on004625
Mind in Motion Young Adults Walking Over Uneven Terrain
EEG Zarr[
- Size
- 62.5 GB
- Version
- v1.0.0
- Updated
- Jun 25, 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
- on004148
A test-retest resting and cognitive state EEG dataset
EEG Zarr…sleep, emotion, mental health, and mind-wandering related measures # Dataset ## Presentation The…
- Participants
- 60
- Channels
- 61 (10-10)
- Citations
- 23
- Size
- 93.2 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on005815
A Human EEG Dataset for Multisensory Perception and Mental Imagery
EEG ZarrThe YOTO (You Only Think Once) dataset is a human EEG resource for studying multisensory perception and mental imagery. Twenty participants completed tasks with unimodal and multimodal (visual, auditory, and combined) cues while EEG was recorded at 1000 Hz, and they gave self-reported vividness ratings of their imagery. Technical validation with event-related potentials and power spectral density analyses confirmed data reliability and distinct neural responses across stimuli, supporting research on neural decoding, perception, and cognitive modeling.
- Participants
- 20
- Channels
- 30
- Size
- 9.91 GB
- Version
- v1.0.0
- Updated
- Jun 20, 2026
- on007216
A multi-session simultaneous EEG-fMRI dataset with online experience sampling
ANAT EEG FMAP FUNC Zarr…processes, including attentional fluctuations and mind-wandering, thereby promoting insights into the…
- Participants
- 24
- Channels
- 31 (10-10)
- Citations
- 1
- Size
- 115 GB
- Version
- v1.0.0
- Updated
- Jul 2, 2026
- on006446
Cueing the future to reduce temporal discounting
EEGEEG dataset investigating whether episodic future thinking can reduce temporal discounting. Participants described a series of personal future events and were then cued to think about these events while making intertemporal choices. They also rated the vividness of their mental imagery for each event.
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 16.1 GB
- Version
- v1.0.0
- Updated
- Jun 18, 2026