This article provides an introduction to the field of datasets, including their types, characteristics, and applications. Datasets refer to collections of data that have been organized for specific purposes. They can come in various forms, including structured data, unstructured data, and semi-structured data. Each type of dataset has its own unique characteristics and uses. For example, structured data typically includes datasets that have been organized into tables and rows, such as spreadsheets or databases, while unstructured data typically includes text, images, and videos.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

File FDS FDF SFD0 bytes
[1] Peng Li, "Brain-computer interface-based ", IEEE Dataport, 2023. [Online]. Available: Accessed: Feb. 25, 2024.
doi = {10.21227/gkfx-h637},
url = {},
author = {Peng Li },
publisher = {IEEE Dataport},
title = {Brain-computer interface-based },
year = {2023} }
T1 - Brain-computer interface-based
AU - Peng Li
PY - 2023
PB - IEEE Dataport
UR - 10.21227/gkfx-h637
ER -
Peng Li. (2023). Brain-computer interface-based . IEEE Dataport.
Peng Li, 2023. Brain-computer interface-based . Available at:
Peng Li. (2023). "Brain-computer interface-based ." Web.
1. Peng Li. Brain-computer interface-based [Internet]. IEEE Dataport; 2023. Available from :
Peng Li. "Brain-computer interface-based ." doi: 10.21227/gkfx-h637