Discover datasets

This dataset contains EEG recordings from an experiment in which participants alternately perceived and imagined visual images based on auditory prompts. Each trial consisted of a 6-second perception phase, during which participants viewed an image, followed by a 6-second imagination phase with eyes closed. The dataset is intended to support research on EEG-based analysis of perception and mental imagery processes, such as deep learning approaches to EEG decoding.

Participants

3

Channels

65 (10-10)

Size

4.23 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises stereoelectroencephalography (SEEG) resting state recordings acquired from two patients with epilepsy. The intracranial recordings were obtained using depth electrodes implanted for clinical evaluation purposes, providing insight into resting-state neural activity in epileptic patients.

Participants

2

Size

709 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises raw EEG recordings collected to investigate the temporal dynamics underlying object space dimensions in human perception. Participants completed a rapid image presentation task while EEG data were recorded, enabling analysis of the time course of object representation. The dataset includes behavioral event data alongside BIDS-formatted EEG recordings, supporting research into visual object processing and neural representational geometry.

Participants

21

Channels

64

Citations

1

Size

35.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from a color change detection task, organized according to the Brain Imaging Data Structure (BIDS) standard. It is intended to support research on visual attention and perceptual change detection processes.

Participants

24

Size

13.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises repeated-awakening EEG recordings collected during propofol sedation, designed to explore dream experiences and consciousness dynamics under anesthesia. EEG data were acquired across wakefulness (eyes open/closed) and multiple sedation and awakening conditions, including sessions with transcranial magnetic stimulation. The study aims to evaluate whether EEG complexity measures can capture subjective dream reports elicited through repeated awakenings during propofol-induced sedation.

Participants

21

Channels

65 (10-10)

Citations

23

Size

77.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from an alphabetic decision task using stimuli presented in the Arial Light font, collected to investigate sub-letter orthographic processing. It provides raw electrophysiological and behavioural data intended to support modeling of visual word recognition using optimal transport approaches. The dataset was collected at Goethe University and is derived from a related source dataset.

Participants

16

Channels

64 (10-10)

Citations

4

Size

10.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from 23 participants performing a passive viewing task involving partially occluded and uncovered visual scenes containing varying numbers of game pieces. The study investigates how the brain processes numerosity information under conditions of occlusion and disocclusion. Participants viewed scenes with 4 or 32 initially visible game pieces, followed by uncovering to reveal different numbers of additional pieces, across 640 trials.

Participants

23

Channels

60 (10-10)

Size

28.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial electrocorticography (ECoG) recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.

Participants

9

Citations

4

Size

14.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from a study examining expectation effects on conflict processing, in which participants performed a task involving conflict stimuli under varying levels of expectation. The data support investigations into the neural mechanisms underlying cognitive control and expectation-driven modulation of conflict-related brain activity. This dataset is mirrored on NEMAR from OpenNeuro (ds005571).

Participants

29

Channels

66 (10-10)

Citations

10

Size

63.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from an ERP priming study investigating neural associations between fingerspelling, print, and signs in deaf readers. Participants viewed prime-target pairs consisting of English words, ASL signs, or fingerspelled words followed by English word targets, allowing examination of cross-modal semantic priming effects. The study was conducted at San Diego State University's NeuroCognition Laboratory.

Participants

24

Channels

32 (10-10)

Size

2.62 GB

Version

v1.0.0

Updated

Aug 19, 2026