Electroencephalography Dataset of Young Drivers and Non-Drivers Under Visual and Auditory Distraction Using a Go/No-Go Paradigm

Yasmany García-Ramírez (), Luis Gordillo and Brian Pereira
Additional contact information
Yasmany García-Ramírez: Department of Civil Engineering, Universidad Técnica Particular de Loja, Loja 110101, Ecuador
Luis Gordillo: Department of Civil Engineering, Universidad Técnica Particular de Loja, Loja 110101, Ecuador
Brian Pereira: Department of Civil Engineering, Universidad Técnica Particular de Loja, Loja 110101, Ecuador

Data, 2025, vol. 10, issue 11, 1-11

Abstract: Electroencephalography (EEG) provides insights into the neural mechanisms underlying attention, response inhibition, and distraction in cognitive tasks. This dataset was collected to examine neural activity in young drivers and non-drivers performing Go/No-Go tasks under visual and auditory distraction conditions. A total of 40 university students (20 drivers, 20 non-drivers; balanced by sex) completed eight experimental blocks combining visual or auditory stimuli with realistic distractions, such as text message notifications and phone call simulations. EEG was recorded using a 16-channel BrainAccess MIDI system at 250 Hz. Experiments 1, 3, 5, and 7 served as transitional blocks without participant responses and were excluded from behavioral and event-related potential analyses; however, their EEG recordings and event markers are included for baseline or exploratory analyses. The dataset comprises raw EEG files, event markers for Go/No-Go stimuli and distractions, and metadata on participant demographics and mobile phone usage. This resource enables studies of attentional control, inhibitory processes, and distraction-related neural dynamics, supporting research in cognitive neuroscience, brain–computer interfaces, and transportation safety.

Keywords: EEG; distraction; Go/No-Go paradigm; drivers; young adults; traffic safety (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/10/11/175/pdf (application/pdf)
https://www.mdpi.com/2306-5729/10/11/175/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:10:y:2025:i:11:p:175-:d:1785296

Access Statistics for this article

Data is currently edited by Ms. Becky Zhang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().