FAIRsharing record for: Cambridge University Press - Environmental Data Science - Research Transparency

This FAIRsharing record describes: Environmental Data Science is an open access journal dedicated to the use of data-driven approaches to understand environmental processes - including climate change - and aid sustainable decision-making. The data and methodological scope is defined broadly to encompass artificial intelligence, machine learning, data mining, computer vision, econometrics and other statistical techniques. To promote more transparent and reproducible research, we ask authors submitting to Environmental Data Science to provide a Data Availability Statement in the manuscript to help readers understand how they can access the data, code and other resources that support the research findings. Environmental Data Science believes that research articles should contain sufficient information to allow others to understand, verify, and replicate findings.