Discover datasets

EEG recordings from 23 participants performing a passive viewing task with partially occluded and subsequently uncovered scenes containing game pieces on a game board. Conditions varied the number of initially visible pieces (4 or 32) and the number of pieces revealed after the occluder was removed (0 to 32). The dataset supports investigation of neural responses to object numerosity in occluded and uncovered visual scenes.

Participants

23

Channels

60 (10-10)

Size

28.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

…nemar.on002001) Project Title: Rivalry Project ID: Rivalry_Tagging Expected experimentation period…

Participants

11

Size

81.7 GB

Version

v1.0.0

Updated

Jun 21, 2026

This dataset pools EOG recordings from two earlier studies (20 participants from Jaeger et al., 2020 and 21 from Holtze et al., 2021) that used a competing-speaker paradigm. Participants attended to either the left or the right of two simultaneously presented audio books. The dataset supports analysis of the relation between eye blinks and speech pauses.

Participants

41

Channels

7 (egi-geodesic)

Citations

1

Size

8.01 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG dataset investigating proactive selective attention across different competition contexts. The dataset is mirrored on NEMAR from OpenNeuro (ds005089) and organized in BIDS format.

Participants

36

Channels

63 (10-10)

Citations

6

Size

68.0 GB

Version

v1.0.0

Updated

Jun 26, 2026

This dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).

Participants

34

Channels

63 (10-10)

Citations

2

Size

61.2 GB

Version

v1.0.0

Updated

Jun 30, 2026

This dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.

Participants

22

Channels

61 (10-10)

Citations

45

Size

256 GB

Version

v1.0.0

Updated

Jun 8, 2026

EEG dataset of a visual oddball (P300) task from the PURSUE project, collected in 2017 and 2018 from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia. The task design follows the ERP CORE paradigm, and the dataset includes participant demographic information such as race.

Participants

286

Channels

32 (10-10)

Size

7.84 GB

Version

v1.0.0

Updated

Jun 3, 2026

This dataset contains stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task in the epilepsy monitoring unit at Oregon Health & Science University. The data were analyzed in collaboration with the University of Oregon and were used to characterize movement-related oscillations in intracranial recordings. It is organized in BIDS format.

Participants

8

Citations

6

Size

14.5 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG recordings from 36 participants performing an orientation discrimination task in a visual tilt illusion paradigm. A central target grating, titrated to appear vertical on average, was surrounded by an annular grating tilted by ±30 degrees. The dataset supports analysis of prestimulus EEG correlates, including alpha oscillation power and phase, of increased or decreased tilt illusion strength.

Participants

36

Channels

64

Size

83.2 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