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A scalable framework for harmonizing, standardization, and correcting crowd-sourced low-cost sensor PM2.5 data across Europe

The article introduces a scalable framework designed to harmonize, standardize, and correct crowd-sourced low-cost sensor PM2.5 data across Europe. By addressing inconsistencies in data quality and calibration among various sensors, the framework enhances the reliability of citizen-generated air quality data. This advancement supports more accurate environmental monitoring and informed policymaking.

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