GLOVE: Global Plastic Ingestion Initiative
An open-access dashboard database providing science-based data on plastic ingestion by marine, freshwater, and terrestrial wildlife.
Riverine Microplastics Sampling Quality Criteria
Meta-analysis of 36 river microplastic studies with quality scoring framework for water column and benthic sediment sampling standardization
PlasticHealers — Classroom Tool for Micro- and Nanoplastics
Interactive educational resource translating PlasticHeal research on micro- and nanoplastics health effects for primary and secondary school students
Raman Automation for Small Microplastics – Particle Detection Software
Python-based particle detection and Raman spectroscopy automation for identifying microplastics in the 20–53 µm size range, with validation data and code
TRADE: Trash Rapid Assessment Data Exchange (ArcGIS Hub)
TRADE is a platform that standardizes community-based rapid trash assessments for MS4 stormwater monitoring, visualization, and downloadable reporting-ready datasets.
Bayesian Species Sensitivity Distribution Risk Characterization App
RShiny web app for site-specific ecological risk characterization fitting microplastic data into Bayesian Species Sensitivity Distribution-based risk.
One4All: An Open Source Portal to Validate, Share, and Harmonize Microplastics Data
One4All is an open-source portal and R package for validating, structuring, and sharing microplastics data- designed to accelerate FAIR data practices.
Microplastics and Trash Cleaning and Harmonization: Semantic Data Ingestion and Harmonization Using Artificial Intelligence
MaTCH is an AI-powered tool that harmonizes microplastics and trash datasets. Use the live app or open-source code to standardize plastic pollution data.
pSSD++ — Probabilistic Risk Assessment for Microplastics
Open-source tool that uses Monte Carlo simulations to derive microplastics hazard thresholds by propagating uncertainty across particle traits and toxicity
Companion Spectral Visualization App for SLOPP/SLOPP-e Raman Libraries
An RShiny-powered minimalist web app to visualize spectra for SLOPP/SLOPP-e Raman libraries developed by Professor Andrew Rate, School of Agriculture and Environment, The University of Western Australia. If you use this app […]