Discover datasets

This dataset contains EEG recordings collected during three near-threshold visual detection tasks: a no-cue task, a noninformative cue task (50% validity), and an informative cue task (100% validity). The study investigates how attentional cueing and prestimulus neural activity, particularly alpha-band oscillations, influence the perception of near-threshold visual stimuli. Data were collected to examine the interplay between attention and perceptual awareness in a visual detection paradigm.

Participants

36

Channels

128 (10-05)

Citations

8

Size

67.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005594-blue…

Participants

16

Channels

64 (10-10)

Citations

4

Size

10.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset provides a BIDS-standardized version of simultaneously collected EEG and eye-tracking data from one subject, derived from the larger EEGEyeNet dataset. It supports research on eye movement prediction from electroencephalography and eye-tracking signals, following an established paradigm designed for benchmarking EEG-based eye movement decoding.

Participants

1

Channels

129 (egi-geodesic)

Citations

7

Size

43.6 MB

Version

v1.0.0

Updated

Aug 19, 2026

…via dcm2niix (v1.0.20220505). Facial features were removed from anatomical images…

Participants

60

Citations

2

Size

112 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task conducted across multiple clinical sites. Participants encoded object locations during guided navigation learning phases and subsequently recalled these locations during self-navigation test phases. The dataset includes 50 trials per session with counterbalanced trial blocking and provides both monopolar and bipolar iEEG recordings with anatomical coordinates.

Participants

58

Citations

2

Size

107 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset is a BIDS-standardized version of simultaneously collected EEG and eye-tracking data from one subject, derived from the larger EEGEyeNet dataset. It provides a resource for studying the relationship between neural activity and eye movements, supporting benchmarking of eye movement prediction models. The data were originally collected as part of a study approved by the Institutional Review Board of Canton Zurich.

Participants

1

Channels

129 (egi-geodesic)

Citations

8

Size

45.0 MB

Version

v1.0.0

Updated

Aug 18, 2026

This open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with preprocessed data at 200 Hz sampling rate. The dataset includes comprehensive preprocessing (bandpass filtering, ICA-based artifact rejection, common average referencing) and serves as a benchmark for validating hybrid BCI approaches that integrate multimodal neuroimaging signals.

Participants

29

Channels

30 (10-05)

Citations

94

HED

v8.4.0

Size

6.62 GB

Version

v1.0.3

Updated

Aug 18, 2026

A multimodal neuroimaging dataset designed to investigate the spatiotemporal dynamics of visual processing in humans. The dataset combines multiple neuroimaging modalities—electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and structural MRI—to characterize neural responses during visual tasks. This comprehensive resource provides simultaneous EEG-fMRI recordings that enable investigation of the temporal and spatial organization of visual cortical processing, bridging the high temporal resolution of EEG with the high spatial resolution of fMRI.

Participants

21

Size

48.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

…learning (analogous to automatic speech recognition) - High-bandwidth neuromotor interfaces ## Dataset Details…

Participants

108

Citations

1

Size

223 GB

Version

v2.0.0

Updated

Jul 10, 2026

…for advancing cross-context emotion recognition and enhancing the real-world application…

Participants

60

Channels

64

Citations

3

Size

70.4 GB

Version

v1.0.0

Updated

Aug 19, 2026