A global dataset of sandstone detrital composition by Gazzi-Dickinson method
Author：
Xiaolong Dong;Xiumian Hu;Shijie Zhang;Yiqiu Zhang;Weiwei Xue;Wen Lai;Wei An;Haiming Fan;Sijin Chen;Cui Li;Xingyun Wang;Yue Wu;Jinlv Chen;Yajun Zhang
Date：
2022-11-26
DOI：
10.12297/dpr.dde.202211.8
License：
Category：
C_CC_8_4
Keywords：
Gazzi-Dickinson methoddetrital compositionGlobalspatiotemporal informationsedimentary environment
Abstract
Detrital composition of sandstone is the most important data for sandstone classification and provenance analysis. A large amount of data has accumulated in recent decades, however, they are scattered among various publications without unified standards. Here we constructed a dataset of global scale detrital components from 646 peer-reviewed publications using Gazzi-Dickinson method. A total of 19,861 sandstone samples from Precambrian to Quaternary are involved in this dataset. For each sample, we present details on reference, detrital composition, geographic location, depositional age, tectonic setting and depositional environment, etc. It is a high-quality dataset for the information on each sandstone sample from different study which was standardized. The dataset can be used for stratigraphic comparison, provenance analysis, exploring the general laws of the source-to-sink process, etc.
Entity Data
Reference This Dataset
Xiaolong Dong;Xiumian Hu;Shijie Zhang;Yiqiu Zhang;Weiwei Xue;Wen Lai;Wei An;Haiming Fan;Sijin Chen;Cui Li;Xingyun Wang;Yue Wu;Jinlv Chen;Yajun Zhang.A global dataset of sandstone detrital composition by Gazzi-Dickinson method.DDE Repository.2022-11-27.doi:10.12297/dpr.dde.202211.8