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PartiCollect is a citizen science app for environmental monitoring that supports the collection and documentation of tree bark samples for air pollution research. It is designed to help participants map fine-particle pollution in urban areas by recording the location of each sample and linking it with a unique code, along with descriptive and environmental details.
The app is used in projects that analyze bark samples for metallic pollutants associated with vehicle traffic, including emissions from exhaust, braking, and tire wear. These measurements help researchers study how airborne particles accumulate on trees and other surfaces in city environments. By structuring sample collection and data entry in one place, PartiCollect supports organized fieldwork and improves the traceability of citizen-contributed observations.
PartiCollect is suited to regional community science and environmental research projects that involve public participation, sample-based data collection, and geolocated observations. It combines mobile data input, location tagging, and project-specific information capture to support scientific analysis of urban air quality and pollution exposure.
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