© 2019 The Authors. This is an open access dataset under the Creative Commons Attribution 4.0 International (http://creativecommons.org/licenses/by/4.0/).

When using the dataset please cite the following publication:
A. Stief, R. Tan, Y. Cao, J. R. Ottewill, N. F. Thornhill, J. Baranowski, A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study, Journal of Process Control, 79 (2019) 41–55, DOI: https://doi.org/10.1016/j.jprocont.2019.04.009

Contacts: 
Anna Stief: stiefanna@gmail.com
Ruomu Tan: ruomu.tan@gmail.com

PRONTO (PROcess NeTwork Optimization for efficient and sustainable operation of Europe’s process industries taking machinery condition and process performance into account) is an Innovative Training Network European Industrial Doctorate project funded by the Marie Sklodowska-Curie Actions scheme under Horizon 2020.The PRONTO heterogeneous benchmark dataset is an output of the PRONTO multiphase flow benchmark case study, which is a deliverable of the H2020 PRONTO project.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 675215, for which the authors are grateful.