Polynomial modelling of high-quality yet incomplete rare earth element data sets and a holistic assessment of REE anomalies.

ABSTRACT: Rare earth elements (REEs) are powerful proxies used in many (bio-)geochemical studies. Interpretation of REE data relies on normalised REE patterns and anomaly quantification, and requires complete data. Therefore, older, high-quality REE data determined by neutron activation or isotope dilution methods are often ignored, as they did not provide complete data. Similarly, modern analytical data can lack certain REEs due to quantification limits, interferences or usage of REE spikes. However, such data may be the only information available since sample material was consumed, sample locations became inaccessible, or samples represent past states of a dynamic natural system. Therefore, the ability to impute such high-quality data is of value for many geoscientific sub-disciplines. We use a po

SUBMITTER: Ernst DM 

PROVIDER: S-EPMC11825873 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature