Replication Data for: Micrometer-scale sediment grain-size prediction using X-Ray Fluorescence geochemistry and Computed Tomography density scanning data

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.

本数据集收录了Auer等人2025年发表的研究《基于X射线荧光（X-Ray Fluorescence，XRF）地球化学与计算机断层扫描（Computed Tomography，CT）密度扫描数据的微米级沉积物粒径预测》所生成的全部相关数据。该研究提出了一种可实现微米级平均粒径预测的方法：研究人员将对粒径敏感的CT密度数据整合至基于线性回归的建模框架中，该框架依托XRF地球化学数据构建。通过合成岩心实验以及对搭载有已公开粒径剖面的沉积岩心开展实际应用验证，本研究证实CT扫描可提升沉积物粒径的预测性能，尤其在地球化学均质的沉积物中，此时CT数据可作为唯一的预测因子。