Discover datasets

Introduction This EEG dataset contains the electrophysiological signal from fifty-seven obese and non-obese preteens during a stop-signal task. The stimuli were designed and administered using E-Prime software (Version 2) at Arkansas Children Nutrition Center (ACNC), Little Rock, Arkansas. The University of Arkansas for Medical Sciences (UAMS) approved the study protocol. This research was supported by USDA/Agricultural Research Service Project 6026-51000-012-06S. Raw data files The data we

Participants

57

Size

23.1 GB

Updated

Jun 6, 2026

# General information This dataset contains resting(eyes closed, eyes open) and cognitive(subtraction, music, memory) state EEG recordings with 60 participants during three experimental sessions together with sleep, emotion, mental health, and mind-wandering related measures # Dataset ## Presentation The data collection was initiated in September 2019 and was terminated in April 2021. The detailed description of the dataset is currently under working by Yulin Wang, and wi

Participants

60

Size

30.7 GB

Updated

Jun 6, 2026

### Average Task Value Twelve participants completed three learning tasks. In each task the goal was to learn cue-response mappings for six cues. The cues were various coloured shapes. The possible responses were left ('d' key) or right ('k' key). There were two types of cues. Low-value cues had a feedback validity of 0.5 (i.e., a coin toss). High-value cues had a feedback validity of 0.8 (80% chance of a win if the correct action was chosen). The low-value task contained only low-value cues. T

Participants

12

Size

4.00 GB

Updated

Jun 6, 2026

Project Title: DISC Validation in Rat Somatosensory Cortex Project ID: 000 Expected experimentation period: Start date: N/A End date: N/A Project Description: DISC were implanted in rat somatosensory cortex. While anesthetized, whiskers were being stimulated using an air puffer. Task name corresponds to the id of the whisker being stimulated. For more information of the task go to our biorxiv's paper: https://www.biorxiv.org/content/10.1101/2021.09.20.460996v3 Participant categor

Participants

8

Size

188 GB

Updated

Jun 6, 2026

## BCIT Traffic Complexity ### Introduction **Overview:** The Traffic Complexity study was designed to collect extended time-on-task measurements of subjects performing a driving task in a simulated environment in order to assess fatigue-based performance through novel biomarkers. Similar to the Baseline Driving study, the Speed Control study was intended to identify periods of driver fatigue via predictive algorithms formulated from the analysis of driver EEG data, in comparison to th

Participants

29

Size

17.5 GB

Updated

Jun 6, 2026

## BCIT Speed Control ### Introduction **Overview:** The Speed Control study was designed to collect extended time-on-task measurements of subjects performing a driving task in a simulated environment in order to assess fatigue-based performance through novel biomarkers. Similar to the Baseline Driving study, the Speed Control study was intended to identify periods of driver fatigue via predictive algorithms formulated from the analysis of driver EEG data, in comparison to the objectiv

Participants

32

Size

36.2 GB

Updated

Jun 6, 2026

## BCIT Mind Wandering ### Introduction **Overview:** Subjects in the Mind Wandering study performed a long-duration simulated driving task with perturbations and audio stimuli in a visually complex environment. The purpose of this effort was to supplement and extend the related driving research to collect prolonged time-on-task measurements of subjects performing a driving task in a simulated environment in order to assess fatigue-based performance through novel biomarkers. Similar to

Participants

21

Size

23.9 GB

Updated

Jun 6, 2026

## BCIT Baseline Driving ### Introduction **Overview:** The Baseline Driving study was designed to collect extended time-on-task measurements of subjects performing a driving task in a simulated environment in order to assess fatigue-based performance through novel biomarkers. The Baseline Driving study was intended to identify periods of driver fatigue via predictive algorithms formulated from the analysis of driver EEG data, in comparison to the objective performance measures, and in

Participants

109

Size

302 GB

Updated

Jun 6, 2026

## BCIT Basic Guard Duty ### Introduction **Overview:** The Basic Guard Duty study was designed to measure sustained vigilance in realistic settings by having subjects verify information on replica ID badges. The task was performed in conjunction with two other tasks a calibration driving task and a baseline driving task. The data collected for the two driving tasks is not included in this dataset. Another study (Advanced Guard Duty), which included a similar set-up but a different experimenta

Participants

21

Size

55.1 GB

Updated

Jun 6, 2026

## BCIT Calibration Driving ### Introduction **Overview:** The Calibration Driving study was intended to provide calibration data for applying fatigue-based driver performance prediction algorithms. Calibration data sets were designed to be the first component of every recording session within the BCIT program, which featured multiple studies investigating fatigue. Collectively, the Calibration Driving recordings comprise a 'virtual' study, in which driving performance at the calibr

Participants

156

Size

124 GB

Updated

Jun 6, 2026