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This post is part of a series of posts. We already wrote a few posts about sensor calibrations, e.g. how to develop a correction algorithm for temperature [1] or how to use R for making a linear regression [2].

In one of the next topics we will dive more into PM correction and the sensitivity to relative humidity.

If you want to know more about the science of air quality monitoring, we are also running webinars that you can watch on our reserach page [3].

[1] https://www.airgradient.com/blog/slr-temperature-example/

[2] https://www.airgradient.com/blog/using-r-for-sensor-correcti...

[3] https://www.airgradient.com/research/



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