This dataset contains the results of a numerical experiment to test the relationship between morphological self-similarity and dynamic scaling during coarsening using an initial structure with distinct populations of large and small particles. The small particles coarsened self-similarly, so agreement with the t^(1/3) dynamic scaling law was observed despite a lack of self-similarity of the overall structure due to the slow evolution of the large particles. The dataset contains raw simulation output and characterization results. Additional details regarding the generation of this dataset are contained in our paper located at https://doi.org/10.1038/s41598-018-36354-8. The authors acknowledge support from the U.S. Department of Energy, Basic Energy Science, DE-FG02-99ER45782. Computational resources were provided by the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number OCI-1053575, under allocation No. TG- DMR110007, as well as the University of Michigan Advanced Research Computing. University of Michigan