  Power systems are equipment and data intensive. In todays big data era, a
large amount of data is being generated from power system equipment via various
inspection and testing activities. The industry is encouraged to make optimal
decisions for power equipment maintenance, replacement, configuration and
planning. Utility companies are trying to leverage the use of big data and
advanced analytics for equipment management in order to balance system
reliability, performance and cost. To advance such applications and promote
collaborations with external researchers, the Utility Analytics Network has
made the effort to gather 15 datasets from multiple utility companies in North
America on various types of power equipment. These datasets are now shared in
public and this paper serves the purpose of providing a detailed introduction
to the datasets.
