The NSF’s EAGER program seeks to develop mathematical techniques and algorithms for constructing ensembles of infrastructure networks and social interactions. In addition, it seeks to develop methods for validation and verification of the interdependent networks incorporating physical infrastructure, humans, and their interactions. A particular emphasis is on synthetic power and communication networks. This class of networks appears prominently in research and applications under NSF’s CRISP program (hyperlink to https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505277). Constructing algorithms for generating realistic versions of such networks has many benefits. For example, it provides insight into their structure and behaviors, as well as sensitivities and inter-dependencies. Actual data for critical infrastructure networks is often proprietary, confidential, expensive, or simply impossible to obtain. Our work, which deposits generated network data on platforms like DesignSafe, offers researchers and practitioners of CRISP access to realistic networks that can help in analysis as well as method development and testing.