Replication Data for: Micrometer-scale sediment grain-size prediction using X-Ray Fluorescence geochemistry and Computed Tomography density scanning data
收藏DataverseNO2025-01-01 更新2026-04-13 收录
下载链接：
https://dataverse.no/citation?persistentId=doi:10.18710/8I9G81
下载链接
链接失效反馈官方服务：
资源简介：
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.
提供机构：
University of Bergen, Department of Earth Science; GEOPS, Paris‐Saclay University, Orsay, France; University of Bergen, Department of Earth Science and Bjerknes Centre for Climate Research
创建时间：
2025-01-01
