Showing 10 of 613 datasets · page 24 of 62
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
**Title:** Transcranial Alternating Current Stimulation (tACS) for Patients with Post-Stroke Anomia: Preliminary Data on Picture Naming Performance **Dataset Description:**\ This dataset includes EEG recordings from two post-stroke patients with chronic anomia who participated in an 8-week individualized neuromodulation intervention using transcranial alternating current stimulation (tACS). The intervention alternated between stimulation and non-stimulation phases every two weeks and was design
NEMAR Dataset nm000103: HBN-EEG NC - Healthy Brain Network EEG data
# README More info here: https://neurostars.org/t/where-in-a-bids-dataset-should-i-put-notes-about-individual-mri-acqusitions/17315/3 ## Details related to access to the data - [ ] Data user agreement If the dataset requires a data user agreement, link to the relevant information. *** - [ Jonel Raven Morris ([email protected]; ORCID: 0000-0003-0239-1917)] Contact person *** ## Overview - [Visual Occlusions on Treadmill at Different Speeds with Stationary Visual Display ] Project name *** - [ 20
# Cross-Environment Multi-Paradigm Motor Imagery EEG Dataset # Description This dataset contains EEG recordings collected during motor imagery (MI) tasks under different recording environments. The primary dataset includes recordings from a controlled laboratory setting and a simulated hospital environment, designed to investigate the impact of environmental variability on EEG-based brain–computer interface (BCI) performance.In addition, a small supplementary dataset recorded in a space station