Discover datasets

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006018-blue…

Size

10.6 GB

Updated

Jun 28, 2026

Citations

1

Size

26.4 GB

Updated

Jun 1, 2026

This dataset comprises neuroimaging data from a logical reasoning study conducted by the Cognitive and Computational Neuroscience Laboratory. The study investigates neural correlates of logical reasoning processes through multimodal brain imaging. Data were collected and organized according to BIDS standards for reproducibility and accessibility. This dataset is a NEMAR mirror of the OpenNeuro dataset ds003483.

Size

68.3 GB

Updated

Jun 21, 2026

This EEG dataset comprises recordings from children performing letter discrimination and visual search tasks across three experimental stages: pre-intervention baseline, intervention measurement, and post-intervention assessment. Participants were assigned to intervention and control groups to evaluate the effects of embodied learning on literacy-related neural processing. The dataset includes event markers corresponding to stimulus presentations of letters 'b' and 'd', enabling analysis of neural responses to letter discrimination and visual search performance.

Size

36.6 GB

Updated

Jun 23, 2026

The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.

Size

9.91 GB

Updated

Jun 20, 2026

This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed data suitable for investigating neural correlates of binary choice behavior and semantic processing.

Citations

5

Size

153 GB

Updated

Jun 22, 2026

This dataset investigates the search superiority effect in human memory, examining whether incidental learning during visual search produces qualitatively different memory representations compared to intentional memorization. Thirty participants performed visual search and intentional memorization tasks on real-world scenes, followed by a surprise recognition memory test. The study combines EEG recordings with eye-tracking and behavioral measures (remember-know judgments and receiver operating characteristics) to dissociate the contributions of recollection and familiarity processes to recognition memory.

Citations

1

Size

17.0 GB

Updated

Jun 26, 2026

This dataset comprises human electroencephalography (EEG) recordings from 80 participants engaged in a moral decision-making task. Participants evaluated their attitudes toward sociopolitical issues, then viewed protest photographs with varying levels of indicated social support, followed by judgments of support for the protesters. The study investigates how moral conviction and metacognitive ability influence information processing across multiple cognitive stages.

Size

101 GB

Updated

Jun 23, 2026

This dataset investigates proactive selective attention mechanisms across different competitive contexts using neuroimaging data. The study examines how individuals modulate attentional resources in anticipation of task demands within varying levels of competition, providing insights into the neural correlates of goal-directed attention and performance optimization.

Citations

1

Size

68.0 GB

Updated

Jun 26, 2026

Citations

47

Size

5.14 GB

Updated

Jun 2, 2026