Cognitive Workload 8-level arithmetic
Imported from OpenNeuro ds007262
- Participants
- 20
- Size
- 1.92 GB
- Version
- v1.0.0
- Updated
- May 16, 2026
Showing 10 of 530 datasets · page 10 of 53
Imported from OpenNeuro ds007262
# Raw data for the study 'A common neural mechanism underlies experiences of passage of time' This repository contains the BIDS-formatted dataset generated from EEG and behavioral data. ## Dataset Structure ``` bids_dataset ├── sub-XXX │ ├── eeg │ └── sub-XXX_scans.tsv ├── dataset_description.json ├── participants.json ├── participants.tsv ├── README.md └── CHANGES.txt ├── sourcedata │ └── sub-XXX ``` References: Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf
Experimental task: participants judged whether a probe grating was rotated clockwise or counterclockwise relative to a memorized orientation, which was either predictable or unpredictable. Each memory item was preceded by a central color cue (red, green, or blue). In half of the trials, two of these colors (predictive) cued two non-overlapping 90° segments of orientations that the grating was sampled from. Thus, participants knew the range of possible orientations of these items, but not their e
References ---------- Henao Isaza, V., Aguillon, D., Tobón Quintero, C. A., Lopera, F., & Ochoa Gómez, J. F. (2026). Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer's risk classification. PLOS ONE. https://doi.org/10.1371/journal.pone.0343722
This dataset comprises EEG recordings from ten participants exposed to six marketing video stimuli from three companies (Red Bull, GoPro, Columbia Sportswear), categorized as traditional product-focused advertisements versus "extreme" authentic documentary-style videos. Data were collected using a 14-channel EMOTIV EPOC X headset.
There is a growing imperative to understand the neurophysiological impact of our rapidly changing and diverse technological, social, chemical, and physical environments. To untangle the multidimensional and interacting effects requires data at scale across diverse populations, taking measurement out of a controlled lab environment and into the field. Electroencephalography (EEG), which has correlates with various environmental factors as well as cognitive and mental health outcomes, has the adva
Human action recognition is a core component of social cognition, engaging spatially distributed and temporally evolving neural responses that encode visual information and infer intention. To map the brain’s spatial organization supporting this process, we previously released the Human Action Dataset (HAD), a functional magnetic resonance imaging (fMRI) resource. However, fMRI’s limited temporal resolution constrains its ability to capture rapid neural dynamics. Here, we present the HAD-MEEG da
# README # WARNING Below is a template to write a README file for this BIDS dataset. If this message is still present, it means that the person exporting the file has decided not to update the template.If you are the researcher editing this README file, please remove this warning section. The README is usually the starting point for researchers using your dataand serves as a guidepost for users of your data. A clear and informativeREADME makes your data much more usable. In general you can inclu
This is a BIDS standardized version of simultaneously collected EEG and eye-tracking data, taken from one subject from the [EEGEYENET](https://osf.io/ktv7m/) dataset. Acknowledgements go to Martyna Beata Płomecka, Ard Kastrati, and Nicolas Langer who designed the study, collected the data, and published the dataset to Open Science Framework. For access to the full dataset, please refer to the dataset DOI. References ---------- Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R.,
Auditory Oddball Experiment to understand how Personalized smartphone notifications bias auditory salience across processing stages