华南前寒武纪地层碎屑锆石U-Pb年龄和Hf同位素数据库

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Chengzhang Luo, Liang Qi, Tianle Xia
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引用次数: 0

摘要

前寒武纪沉积的碎屑锆石U–Pb年表数据库为解释古地壳的起源和演化提供了背景。在此,我们试图总结已发表的包含华南前寒武纪沉积碎屑锆石U–Pb年龄和Hf同位素数据的文献,然后建立了一个数据库,其中包含参考文献、样品ID、位置、岩石类型、研究机构、GPS坐标、U–Pb龄期和εHf(t)值等详细信息。本文的数据统计依赖于深度数字地球计划(DDE)的OneDeposit工作组。截至2022年11月,610个样本,38278个 从136篇论文中收集了U–Pb年龄和8798个Lu‐Hf同位素数据,这些数据可以从DDE数据发布和存储库网站下载,https://repository.deep‐time.org/。建立数据集的目的是为华南后代的研究方向提供指导和便利,并通过整合的数据改进以往的研究,避免大量重复研究造成的资源浪费。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A database of detrital zircon U–Pb ages and Hf isotope of Precambrian strata in South China

A database of detrital zircon U–Pb ages and Hf isotope of Precambrian strata in South China

A database of detrital zircon U–Pb ages and Hf isotope of Precambrian strata in South China

Detrital zircon U–Pb chronology database of Precambrian deposits provides a context for the interpretation of the origin and evolution of ancient crust. Here, we tried to summarize the published literature containing detrital zircon U–Pb ages and Hf isotope data of Precambrian deposits in South China and then established a database, which contains details of information, such as reference, sample ID, locality, rock type, research institution, GPS coordinates, U–Pb ages and εHf(t) values. The data statistics of this paper rely on the OneSediment Working Group of The Deep-time Digital Earth program (DDE). By November 2022, 610 samples with 38,278 U–Pb ages and 8,798 Lu-Hf isotope data were collected from 136 papers, and these data can be downloaded from DDE Data Publish & Repository website, https://repository.deep-time.org/. The purpose of the establishment of the dataset is to provide guidance and convenience for the research direction of future generations in South China and to improve the previous studies through the integrated data to avoid the waste of resources caused by a large number of repeated studies.

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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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