  Currently, the number of common benchmark datasets that researchers can use
straight away for assessing data-driven deep learning approaches is very
limited. Most studies provide data as configuration files. It is still up to
each practitioner to follow a particular data generation method and run
computationally intensive simulations to obtain usable data for model training
and evaluation. In this work, we provide a collection of datasets that includes
several small and medium size publicly available Water Distribution Networks
(WDNs), including Anytown, Modena, Balerma, C-Town, D-Town, L-Town, Ky1, Ky6,
Ky8, and Ky13. In total 1,394,400 hours of WDNs data operating under normal
conditions is made available to the community.
