Paula Harder developed comprehensive documentation for the ecmwf/anemoi-datasets repository, focusing on data frequency manipulation workflows. She detailed how to interpolate datasets to higher temporal frequencies and sample them to lower frequencies, providing clear YAML configuration examples to guide users. Using her expertise in data engineering and documentation, Paula improved the repository’s onboarding materials, making it easier for developers to implement frequency-alignment processes. Her work, implemented in Python and YAML, addressed a key usability challenge by clarifying integration steps and reducing the time required for new users to adopt these workflows. The contribution demonstrated depth in both technical clarity and user guidance.