Discover datasets

EEG recordings from twenty participants who learned three temporal intervals (short, medium, long). Two randomly interleaved subtasks were used: a Production task, in which participants produced a target interval, and a Perception task, in which they judged whether a computer-generated interval was correct. Visual feedback (checkmark or x) followed both tasks. The dataset supports investigation of temporal scaling of human scalp-recorded potentials.

Participants

20

Channels

37 (10-10)

Citations

5

Size

7.21 GB

Version

v1.0.0

Updated

Jun 23, 2026

EEG and eye-tracking dataset from 30 participants who searched for objects in real-world scenes or intentionally memorized objects in other scenes, then completed a surprise recognition memory test. The study asks whether the search superiority effect reflects purely stronger memory or also qualitative differences in recollection versus familiarity. The data include FN400 and LPC ERP components, remember-know judgments, and receiver operating characteristics. Behavioral data are split into encoding and memory testing phases.

Participants

30

Channels

61

Size

17.0 GB

Version

v1.0.0

Updated

Jun 26, 2026

A multimodal neuroimaging dataset (EEG, anatomical MRI and functional MRI) for studying the spatiotemporal dynamics of visual processing in the human brain, as described by the dataset title. This is a NEMAR-hosted copy of OpenNeuro dataset ds002814. The associated article was under review at the time of the record. The source README is an unfilled placeholder, so further study details are not available in the dataset documentation. Contact the corresponding authors (Seyed-Mahdi Khaligh-Razavi, Fatemeh Ebrahiminia) for more information.

Participants

21

Citations

7

Size

48.6 GB

Version

v1.0.0

Updated

Jun 21, 2026

An EEG dataset of imagined speech from 15 healthy participants comparing traditional cue-based and gamified (Pac-Man maze) paradigms for brain-computer interface applications. It comprises 1,800 trials of four Spanish directional commands (avanzar, retroceder, derecha, izquierda) recorded at 500 Hz from 24 electrodes. This BIDS derivative, distributed via MOABB and NEMAR, supports evaluation of how paradigm design affects imagined speech decoding.

Participants

15

Channels

24 (10-10)

HED

v8.4.0

Size

1.52 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains raw EEG recordings, organized in BIDS format, collected to study the time-course of food representation in the human brain. It supports analyses of how neural responses to food stimuli unfold over time. Code, figures and the associated manuscript are available through linked resources.

Participants

20

Citations

19

Size

27.6 GB

Version

v1.0.0

Updated

Jun 26, 2026

This dataset contains raw neuroimaging recordings collected with the Visual Attribute-Specific Contextual Trajectory Paradigm 2.0. The paradigm is used to study how the brain generates domain-general visual surprise signals and how their latency depends on the visual attribute that is violated. It accompanies a pre-print on attribute-dependent latency of visual surprise signals.

Participants

35

Citations

1

Size

11.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

Raw intracranial EEG (iEEG) recorded from 8 neurosurgical patients with electrodes implanted for seizure monitoring while they passively viewed rapid streams of scene photographs. Streams contained statistical structure at the category level or the exemplar level, alongside a random baseline. Neural entrainment (phase coherence) at the image frequency (2 Hz) and the pair frequency (1 Hz) was used to track online statistical learning across levels of abstraction. The data are converted to iEEG-BIDS without signal modification.

Participants

8

Size

17.5 GB

Version

v1.0.0

Updated

Oct 8, 2026