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Cleaning data and turning it into a useable format that can be integrated with other datasets is a time-consuming task that earth scientists face when using sensor data. Most sensors output data in a highly idiosyncratic format that must typically be restructured before it can be meaningfully analyzed or imported into a database

What software, libraries, frameworks, or tools do you use to perform these tasks? I'm most interested in things that handle time-series data from sensors, but I welcome answers that provide solutions for any field data processing and cleaning tasks

I will compile answers below, starting with several that I have found:

Libraries

MeteoIO

Python

DIT

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