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zizien1019/fragmentation_eccov4r5_mitgcm68o: New release so Zenodo captures it; no content change
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This entry is a code repository, not the actual study — it contains the computer files scientists used to track how microplastics break down into smaller and smaller pieces as they move through the world's oceans. Understanding where these tiny fragments end up matters because smaller microplastic pieces are more likely to be eaten by marine life, and potentially end up in the seafood we eat. Note: since this is a technical dataset/code release rather than a research paper with results, no specific findings about health impacts are reported here.
This repository contains files related to the research paper: "Distribution and Transport of Fragmenting Microplastics in a 3-D Global Eulerian Model" by Tseng et al. 2026 Please refer to the readme file to see how to reproduce the simulation.
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zizien1019/fragmentation_eccov4r5_mitgcm68o: New release so Zenodo captures it; no content change
AI summary Read the abstract
This entry is actually a code/data repository (not a standalone study) that supports a computer modeling paper tracking how microplastics break into smaller and smaller pieces as they travel through the world's oceans. Understanding this breakdown process matters because tinier plastic fragments are more likely to be ingested by marine life and potentially end up in our food and water — but this specific release is just a technical update to preserve the software, not new health findings.
FRAGMENT-MNP: A model of micro- and nanoplastic fragmentation in the environment
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Researchers developed an open-source computer model called FRAGMENT-MNP that simulates how plastic debris breaks down into smaller micro- and nanoplastic particles over time in the environment. The model predicts fragmentation patterns based on the physical properties of different plastics and environmental conditions. This tool gives scientists a new way to understand and forecast how plastic pollution evolves, which is important because particle size affects how plastics move through ecosystems and interact with living organisms.
Supporting Data for "Identifying the Origins of Nanoplastics in the Abyssal South Atlantic Using Backtracking Lagrangian Simulations with Fragmentation"
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Researchers provided supporting simulation data and analysis code for a study tracing the origins of nanoplastics found in the abyssal South Atlantic Ocean using backtracking Lagrangian particle simulations that incorporated plastic fragmentation dynamics. The repository includes the computational tools and supplementary documentation used in the associated manuscript.
Data and code supporting: Microplastic burdens and trophic-transfer patterns differ between marine and freshwater metawebs
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Note: This entry is actually a dataset and code repository rather than a full research paper with reported findings, so specific results (like how microplastics move up the food chain) aren't described here, just the tools and data used to study it. That said, the underlying research looks at how microplastics build up in animals and pass from prey to predator, comparing ocean and freshwater food webs. Understanding these patterns matters because it helps scientists predict how microplastic contamination might move through the food chain, including into fish and other foods humans eat.
Particle tracking algorithm and additional data for "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)"
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This dataset and code repository accompanies a study on measuring the settling velocity of small microplastic particles (10–400 µm) in water. The materials include image processing routines and particle tracking algorithms designed to improve measurement accuracy for tiny plastic fragments. Accurate settling data helps predict how microplastics distribute in water bodies.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.