青藏高原砂岩碎屑组成数据集

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
{"title":"青藏高原砂岩碎屑组成数据集","authors":"Wen Lai,&nbsp;Xiumian Hu,&nbsp;Xiaolong Dong,&nbsp;Anlin Ma","doi":"10.1002/gdj3.184","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 1","pages":"86-93"},"PeriodicalIF":3.3000,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.184","citationCount":"0","resultStr":"{\"title\":\"A dataset of sandstone detrital composition from Qinghai-Tibet Plateau\",\"authors\":\"Wen Lai,&nbsp;Xiumian Hu,&nbsp;Xiaolong Dong,&nbsp;Anlin Ma\",\"doi\":\"10.1002/gdj3.184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":54351,\"journal\":{\"name\":\"Geoscience Data Journal\",\"volume\":\"11 1\",\"pages\":\"86-93\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2023-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.184\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geoscience Data Journal\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/gdj3.184\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Data Journal","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gdj3.184","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A dataset of sandstone detrital composition from Qinghai-Tibet Plateau

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
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.
期刊最新文献
Issue Information Issue Information Exploring Jalisco's water quality: A comprehensive web tool for limnological and phytoplankton data HSPEI: A 1-km spatial resolution SPEI dataset across the Chinese mainland from 2001 to 2022 High-resolution atmospheric CO2 concentration data simulated in WRF-Chem over East Asia for 10 years
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1