We have exciting news! Our newest research article on modeling rare earth element (REE) data was published in Nature Scientific Reports yesterday. We developed a technique to compute missing REE data, aiding researchers in various scientific fields to improve the relevance of their analytical data.

Rare earth elements comprise a set of 15 elements that display unique behaviors across different natural processes. They are crucial for numerous biogeochemical studies, and complete REE datasets are essential for extracting maximal information. However, due to analytical challenges, some individual REE data may be missing. Often, older REE datasets are overlooked because of missing values. Despite this, these incomplete datasets can still hold valuable insights, particularly when samples are no longer available or reflect historical environmental conditions.

We have now developed a method to compute these missing REE values. We tested our approach on a substantial dataset containing over 13,000 samples, successfully completing three incomplete datasets. The method shows strong accuracy, with a standard deviation below 6 %, and has been validated through Monte Carlo simulations, proving high precision. Furthermore, we offer a technique to quantify REE anomalies along with their uncertainties, which enhances the comparability between datasets.

Welcome to the first post in the News section! This space will act as a hub for sharing the latest updates, findings, and insights from our ongoing geochemistry research projects. Whether it’s about new publications, exciting conferences, field trips, or just a glimpse behind the scenes of our work.