A dataset of sandstone detrital composition from Qinghai-Tibet Plateau

IF 3.3 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Geoscience Data Journal Pub Date : 2023-03-15 DOI:10.1002/gdj3.184

Wen Lai, Xiumian Hu, Xiaolong Dong, Anlin Ma

引用次数: 0

Abstract

As a hot topic in Earth sciences, the Qinghai-Tibet Plateau has accumulated a large amount of sedimentary-related data. We constructed a dataset of detrital components for Qinghai-Tibet Plateau from 63 peer-reviewed publications. The dataset thus comprises 1813 Late Proterozoic to Pleistocene sandstones from 84 stratigraphic units. For each sample, we present details on reference, detrital composition, GPS, geographic location, depositional age, tectonic setting and depositional environment. It becomes a high-quality dataset after the information on each sandstone sample was standardized and reviewed by sedimentary experts. The dataset can be used for regional geoscience studies, exploring the general laws of the source-to-sink process. The dataset may also be useful in the field of utilities, such as assisting in finding suitable building stones, helping oil and gas and mineral exploration, and so forth.

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青藏高原砂岩碎屑组成数据集

青藏高原作为地球科学的热点，积累了大量与沉积相关的数据。我们从 63 篇经同行评审的出版物中构建了青藏高原的碎屑成分数据集。因此，该数据集包括来自 84 个地层单元的 1813 块晚新生代至更新世砂岩。对于每个样本，我们都详细介绍了参考文献、碎屑成分、全球定位系统、地理位置、沉积年龄、构造背景和沉积环境。经过沉积专家对每个砂岩样本信息的标准化和审核，该数据集成为一个高质量的数据集。该数据集可用于区域地球科学研究，探索从源到汇过程的一般规律。该数据集还可用于公用事业领域，如协助寻找合适的建筑石材、帮助石油天然气和矿产勘探等。

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来源期刊

Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

5.90

自引率

9.40%

发文量

审稿时长

4 weeks

期刊介绍： Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.