Computer vision and deep learning tool for microplastic pollution analysis
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Updated
Jul 22, 2021 - Jupyter Notebook
Computer vision and deep learning tool for microplastic pollution analysis
Impact of plastic mulch film debris on soil physicochemical and hydrological properties
A folder with scripts developed by Steve to process microplastic data
Destruction of Aqueous Microfibers Enzymatically (DAME): A novel Synthetic Biology systems approach to destroying Polyester-based Microplastic fibers
Test before making the Full Multi River available
Code to generate wave-driven Ekman-Stokes Eulerian flow dataset and run particle tracking simulations
This repo is accompanying the publication: “Computational fingerprinting workflow for environmental source tracking of microplastic based on representative additives”
Dataset and script associated to paper Polypropylene Fragments Block Pollen–Pistil Interactions and Reduce Seed Production in a Monkeyflower Species, Environmental Science & Technology Letters (2024)
限られた粒径のマイクロプラスチックの実測データに当てはめたべき分布のスケールパラメタ等から、未計測の粒径範囲を含むマイクロプラスチック濃度を推定するための補正係数の計算方法
A repository for the R code and data used in Iwasaki et al. (2023)
A repository of our code for our master's program.
Priming Microplastic Extraction Conditions by Utilizing Ferrofluids and Arduino IR Detection Methods
Application for object detection of microfibers in sludge samples extracted from residual water treatment plants.
automated workflow for processing data produced by ldir (agilent clarity) particle analysis software
Assessment of plastic contamination in vegetables fields in Spain and in the Netherlands and in compost samples from the Netherlands
An R package to read and process Agilent Cary 620 FTIR microscope images. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001321
MicroMorph: The Microplastic Shape and Size Analyzer
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