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

Authors :
Dong, Xiaolong
Hu, Xiumian
Lai, Wen
Xue, Weiwei
Zhang, Shijie
Zhang, Yiqiu
An, Wei
Fan, Haiming
Chen, Sijin
Li, Cui
Wang, Xingyun
Wu, Yue
Chen, Jinlv
Zhang, Yajun
Yu, Kun
Source :
Geoscience Data Journal. Apr2024, Vol. 11 Issue 2, p128-136. 9p.
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20496060
Volume :
11
Issue :
2
Database :
Academic Search Index
Journal :
Geoscience Data Journal
Publication Type :
Academic Journal
Accession number :
176608468
Full Text :
https://doi.org/10.1002/gdj3.212