This dataset contains the data generated for the study "Micrometer-scale sediment grain-size prediction using X-Ray Fluorescence geochemistry and Computed Tomography density scanning data" by Auer et al. 2025. The study presents a method that allows micrometer-scale prediction of mean grain size. The authors integrate grain size-sensitive Computed Tomography (CT) density data into a linear regression-based modelling approach that relies on X-ray fluorescence (XRF) geochemistry. Via experiments on synthetic cores and real-world applications on sediment cores with published grain-size profiles, the study demonstrates that CT scans improve the predictability of grain size, especially in sediments with a homogenous geochemistry, where CT data can be used as a sole predictor.

R studio, 2024.12.1

GRASP, 1.0.0