International Analysis of Sources and Human Health Risk Associated with Trace Metal Contaminants in Residential Indoor Dust

Published in Environmental Science & Technology

Novel Application of Machine Learning Algorithms and Model-Agnostic Methods to Identify Factors Influencing Childhood Blood Lead Levels

Published in Environmental Science & Technology

Data for modelling vegetable uptake of trace metals in soil for the VegeSafe program

Published in Data in Brief

A citizen science approach to identifying trace metal contamination risks in urban gardens

Published in Environment International

Using a Bayesian belief network model for early warning of death and severe risk of HFMD in Hunan province, China

Published in Stochastic Environmental Research and Risk Assessment