Brain

NGM software for applied neurogoniometry. See our previous articles.
- Categories:

See .doc-fie in the attachement.
- Categories:
Mobile Brain-Body Imaging (MoBI) technology was deployed at the Museo de Arte Contemporáneo (MARCO) in Monterrey, México, in an effort to collect Electroencefalographic (EEG) data from large numbers (N = ~1200) of participants and allow the study of the brain’s response to artistic stimuli, as part of the studies developed by University of Houston (TX, USA) and Tecnológico de Monterrey (MTY, México).
- Categories:

The dataset can be used for Brain MRI study for academic purpose only. Undersampling Masks can be used for random undersampling at different sampling rates.
- Categories:

Violin melody clips expressing happiness, sadness, threat, excitement, and neutrality. Both electric and acoustic violin.
- Categories:
Videomicroscopic Semi-Shadow Visualization of LoC-Si (Lab-on-a-Chip_[based_on]_Silicone) test structures from Institute of Molecular Electronics (D. Shevchenko; founder of Scientific and Production Association "Microbiotechniques" Ltd.) and Russian Academy of Sciences (INEPCP RAS; ICP RAS)
Vis. Tech.: MBS-10 Binocular Stereoscopic Microscope; Indirect Angular Illumination.
Found.: Initiative project (D. Shevchenko, O. Gradov; 2015-2016)
Fab.: JSC “Voskhod” KRLZ*
- Categories:

This dataset consists of raw EEG data from 48 subjects who participated in a multitasking workload experiment utilizing the SIMKAP multitasking test. The subjects’ brain activity at rest was also recorded before the test and is included as well. The Emotiv EPOC device, with sampling frequency of 128Hz and 14 channels was used to obtain the data, with 2.5 minutes of EEG recording for each case. Subjects were also asked to rate their perceived mental workload after each stage on a rating scale of 1 to 9 and the ratings are provided in a separate file.
- Categories:

MI dataset for deep learning approach
- Categories: