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"We are very grateful to the NeSI team for helping us to automatically build our coupled model in a container, allowing us to be resilient and circumvent any platform changes/updates."
"I appreciate their methodical approach and the computational tools they were able to introduce to the project, which were essential in enabling the research."
“This tool enables us to give more frequent and district-level predictions of rainfall, dryness, and drought. Providing advanced warning of future dry spells will be invaluable.”
"To be honest, being an ecologist, I was a bit nervous to approach people from advanced data science space. But this fear diminished quickly as all involved in the project was more than ready to understand my needs and was ready to work with my strengths.