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Microplastics monitoring protocol in surface waters
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This citizen science project beta-tested a microplastic monitoring protocol for surface waters developed by Deakin University, training students and teachers to identify common particles in environmental samples using a reference image dataset. Researchers assessed the protocols usability and training outcomes in classroom and field settings. The project supports development of scalable, education-integrated monitoring approaches for freshwater microplastic surveillance.
This project aims at Beta-testing the "Microplastics monitoring protocol in surface waters" developed by Deakin University in collaboration with Labter-Crea MN and Globe Italia. As part of the project, students and teachers will be trained on a newly-established image dataset that allows recognition of common items expected to be present in surface waters. This dataset includes a selection of naturally occurring particles. These could be of biological or mineral origin.
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This is an educational image dataset and protocol for training students and teachers to identify synthetic fibers in surface water samples as part of a citizen science microplastics monitoring program. It supports a project developed by Deakin University in collaboration with environmental education partners.
Microplastics monitoring protocol: plastic fragments
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This project involved training citizen scientists to use a standardised microplastic monitoring protocol for identifying plastic fragments in surface waters. The initiative tested a monitoring method developed by Deakin University and Globe Italia, contributing to open-access microplastic detection tools.
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This educational guide introduces a citizen science protocol for middle and high school students to monitor microplastics in surface water. Engaging students in real data collection builds environmental literacy and contributes to broader community-level microplastic monitoring efforts.
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Researchers designed a high school–university collaboration where students collected water samples from an urban river, identified microplastics by microscopy, and contributed to local pollution mapping — demonstrating that student-led citizen science can meaningfully advance microplastic monitoring while raising environmental awareness.
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This is an educational image dataset and protocol for training students and teachers to distinguish natural objects (biological or mineral particles) from microplastics in surface water samples. It supports a citizen science microplastics monitoring initiative.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.