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Development Of A Python Library To Facilitate Wqx Dataset Exchanges, Jonathan Musselwhite, Fernando Rojano
Development Of A Python Library To Facilitate Wqx Dataset Exchanges, Jonathan Musselwhite, Fernando Rojano
Presentations
The assistance of programming tools to speed up the exchange of water quality datasets are necessary. These tools reduce and simplify the steps currently needed to transfer datasets from water quality monitoring stations to public databases. Here it is presented a library developed in Python that programmatically covers the steps related to the upload of datasets following the framework of the Water Quality Exchange (WQX) of the US EPA. This library is mainly characterized by its ability to efficiently connect and transfer data formatted as CSV or XLSX files via the WQX to the National STORET Data Warehouse by mostly …