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This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmography), and pupillometry data from 86 human participants during 4 minutes of eyes-closed resting and during performance of a classic working memory task – digit span task with serial recall. The participants either memorized (memory) or just listened to (control condition) sequences of 5, 9, or 13 digits presented auditorily with 2 second stimulus onset asynchrony. The dataset can be used for (1)

Participants

65

Size

100 GB

Updated

Jun 6, 2026

RL task in N=25 college age participants. Data collected circa 2018 in the CRCL at UNM. The paper [Brown, D.R., Jackson, T.J. & Cavanagh, J.F. The Reward Positivity is sensitive to affective liking] is now coming out in Cognitive, Affective, & Behavioral Neuroscience. Your best bet for understanding this task would be to read that paper first. I've included additional scripts to help understand stimulus triggers etc. These additional scripts were for a secondary analysis: they were not t

Participants

25

Size

5.82 GB

Updated

Jun 6, 2026

Updated

Jun 6, 2026

> Introduction This experiment was designed to study the effects of different sensory modalities (auditory, visual, and audio-visual) on brain entrainment. The EEG data was collected from a young healthy volunteer (23 years old male). Recently, gamma entrainment based on individual (auditory or visual) sensory stimulation as well as simultaneous auditory and visual stimulation have been proposed and shown effective in improving several symptoms of Alzheimer's Diseases (AD) in mice and humans. T

Participants

1

Size

8.80 MB

Updated

Jun 6, 2026

# SRM Resting-state EEG ## Introduction This EEG dataset contains resting-state EEG extracted from the experimental paradigm used in the *Stimulus-Selective Response Modulation* (SRM) project at the Dept. of Psychology, University of Oslo, Norway. The data is recorded with a BioSemi ActiveTwo system, using 64 electrodes following the positional scheme of the extended 10-20 system (10-10). Each datafile comprises four minutes of uninterrupted EEG acquired while the subjects were res

Participants

111

Size

4.49 GB

Updated

Jun 6, 2026

The dataset contains Electroencephalography (EEG) responses from 20 Indian participants, on 12 songs of different genres (from Indian Classical to Goth Rock). Each session indicates a song by its number. For the experiment, the participants were indicated to close their eyes indicated by a single beep, and the song was presented to them on speakers. After listening to each song, a double beep was presented, asking them to open their eyes and rate their familiarity and enjoyment to the song.

Participants

20

Size

10.1 GB

Updated

Jun 6, 2026

This dataset included 33 healthy participants collected at Pennsylvania State University with informed consent. Simultaneously collected EEG and BOLD signals for each participant were recorded and organized at each folder. Each scanning section consisted of an anatomical session, two 10-min resting-state sessions, and several 15-min sleep sessions. The first resting-state session was conducted before a visual-motor adaptation task (Albouy et al, Journal of Sleep Research, 2013) and the second

Participants

33

Size

86.6 GB

Updated

Jun 6, 2026

# A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking ## Description This dataset was collected in 2020, which combines high-density Electroencephalography (HD-EEG, 128 channels) and mouse-tracking intended as a resource for examining the dynamic decision process of semantics and preference choices in the human brain. The dataset includes high-density resting-state and task-related (food preference choices and semantic judgments) EEG acquired from 31

Participants

31

Size

71.3 GB

Updated

Jun 6, 2026

RL task in N=25 college age participants. Data collected circa 2019 in the CRCL at UNM. The paper [Brown, D.R., Jackson, T.J. & Cavanagh, J.F. The Reward Positivity is sensitive to affective liking] Should be coming out in Cognitive, Affective, & Behavioral Neuroscience. THIS IS EXPERIMENT #2. Your best bet for understanding this task would be to read that paper first. Note we have since made minor adjustments to the task which really enhance the ability to resolve the RewP. I also hav

Participants

25

Size

4.62 GB

Updated

Jun 6, 2026

Overview -------- This is the "Emotion" dataset. The Dataset is recorded with naturalistic paradigm In brief, it contains EEG, ECG and EMG data for 40 subjects emotionally stimulated using naturalistic emotion stimuli. The stimuli are multimedia videos providing context to understand the situated conceptualization of emotions. For details, see the `Details about the experiment` section. Citing this dataset ------------------- Please cite as follows: Sudhakar Mishra and Md. Asif and Uma Shanke

Participants

40

Size

4.71 GB

Updated

Jun 6, 2026