中国大陆及邻近地区锆英石U-Pb和Hf同位素数据集简介

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Jianghai Yang, Ping Wang, Hu Huang, Xiumian Hu
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引用次数: 0

摘要

随着分析技术和数据处理水平的提高,大量的锆英石U-Pb和Hf同位素数据在期刊、论文和报告中发表。在 "深部数字地球大科学计划 "的支持下,"OneSediment "项目开展了一项团队工作,汇集了中国大陆及邻近地区的碎屑锆石U-Pb和Hf同位素数据。构建了锆英石数据的实体关系图,以确定需要收集哪些信息。来自 13 个机构的研究人员和学生共同完成了这项任务,并生成了 13 个碎屑锆石数据集。这些数据集共包括 6635 个样本和 560,596 次分析。根据最新的地层框架,对样本的岩性和地层进行了检查。对收集到的锆英石U-Pb和Hf同位素数据进行了重新计算,以获得最佳的U-Pb年龄和εHf(t)值。这些数据可用于追踪区域尺度的地壳增长、构造演化、产状分析和古地理变化,如果与其他数据集相结合,还可用于全球尺度的追踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A brief introduction to the detrital zircon U–Pb and Hf isotopic datasets for mainland China and adjacent regions

A brief introduction to the detrital zircon U–Pb and Hf isotopic datasets for mainland China and adjacent regions

A brief introduction to the detrital zircon U–Pb and Hf isotopic datasets for mainland China and adjacent regions

Improvements in analytical technique and data processing lead to a large deposit of detrital zircon U–Pb and Hf isotopic data in published journal articles, thesis and reports. With the support of Deep-time Digital Earth Big Science Program, OneSediment Project conducted a team-working effort to assemble the detrital zircon U–Pb and Hf isotopic data for mainland China and adjacent regions. Entity-relationship diagram was constructed for detrital zircon data to determine what information need to be collected. Researchers and students from 13 institutions were organized together to fulfil this task and generated 13 detrital zircon datasets. The assembled datasets totally include 6635 samples and 560,596 analyses. The samples were checked in terms of lithology and stratigraphy according to the latest stratigraphic framework. Collected detrital zircon U–Pb and Hf isotopic data were recalculated for the best U–Pb age and εHf(t) values. They can be used to track crustal growth, tectonic evolution, provenance analysis and palaeogeographical change in regional and, when combined with other dataset, global scales.

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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.
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