The duration of data collection, or how long you need to wait for data collection to achieve a well-sampled and convergent dataset, is a critical consideration. For complex systems, longer simulations are typically required to ensure that all relevant conformational states and kinetic transitions are adequately observed. Achieving convergence, a topic of many studies l, and there are many metrics one can use to ensure their system is well sampled, including comparison to experimental data . While larger datasets generally provide more robust sampling, running longer simulations increases computational costs and time, presenting a tradeoff between running the simulation long enough to reach convergence and the practical limits of available computing resources. It is important to ensure that these combined datasets still provide a complete picture of the system's behavior.