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Much of modern science takes place in a computational environment, and, increasingly, that environment is programmed using R, Python, or Julia.Furthermore, most scientific data now live on the cloud, so the first step in many workflows is to query a cloud database and load the response into a computational environment for further analysis.Thus, tools that facilitate programmatic data retrieval represent a critical component in reproducible scientific workflows.Earth science is no different in this regard.To fulfill that basic need, we developed dataRetrieval, dateretrieval, and DataRetrieval.jl:R, Python, and Julia packages, respectively, that provide multi-language access to hydrologic data from the U.S.
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Hodson et al. (2023) studied this question.