Geoscience Data Journal (Apr 2024)

A global dataset of sandstone detrital composition by Gazzi‐Dickinson method

  • Xiaolong Dong,
  • Xiumian Hu,
  • Wen Lai,
  • Weiwei Xue,
  • Shijie Zhang,
  • Yiqiu Zhang,
  • Wei An,
  • Haiming Fan,
  • Sijin Chen,
  • Cui Li,
  • Xingyun Wang,
  • Yue Wu,
  • Jinlv Chen,
  • Yajun Zhang,
  • Kun Yu

DOI
https://doi.org/10.1002/gdj3.212
Journal volume & issue
Vol. 11, no. 2
pp. 128 – 136

Abstract

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Abstract Detrital composition of sandstone is the most important data for siliciclastic studies including sandstone classification, provenance analysis, oil and gas exploration. A large amount of detrital composition data has accumulated over the past decades, however, they are scattered in publications without unified standards. Here we constructed a global dataset of detrital components of sandstones from 646 peer‐reviewed publications using Gazzi‐Dickinson method. A total of 19,861 samples from Precambrian to Quaternary are involved in this dataset. For each sample, we present details on reference information, geographic information, geological background, depositional age and the original data. It is a high‐quality dataset for the information on each sandstone sample from different studies which was standardized. The dataset can be used widely, such as for stratigraphic comparison, provenance analysis, exploring the general laws of the source‐to‐sink process and geological engineering.

Keywords