1. Poqemon-QoE-Dataset

Database of subjective measures of the quality of experience perceived by the users of a video broadcasting service in mobile environments (Android ecosystem).

218 people participated in the data collection and it contains 2100 examples (34 different metrics were considered).


  1. QoE-Dataset-VLC-Indicators

Database of subjective measures of the quality of experience perceived by users of a video distribution service in a controlled environment.

96 people participated in its development and it contains 800 examples (11 metrics were considered).`


  1. QoE-Affective-computing-Datatset

Database of subjective measures of the quality of experience perceived by users of a video streaming service in a controlled environment integrating emotional parameters related to facial expression.

14 people participated in its development and it contains 114 examples.


  1. Netflow QUIC

150GB database of QUIC encrypted traffic composed of more than 20,000 streams with five different types of services. We used this database to implement an encrypted traffic classification solution.