The computational power of HPC systems continues to grow, and improving their energy efficiency is a critical issue for the field in the face of climate change and energy crises. One major aspect of energy optimization lies in the applications run on the systems themselves. In this work, we are looking into comparing energy consumption between different systems using a characterization process based on the recent energy characterization paper as a reference and starting point for other data centers to assess their application’s energy patterns. We demonstrated that we could use the methods from the starting paper, replicate the findings, and extend the work to more applications and more systems. Our work acts as a proof of concept for a repository of HPC applications’ energy patterns in our future work.This is the collection of jobscripts, data, and python scripts used in the paper.