华北克拉通古元古代至早古生代碎屑锆石U–Pb年龄数据库

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Yiming Dong, Pengfei Zuo, Zihan Xiao, Yilan Zhao, Deshun Zheng, Fengbo Sun, Yu Li
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引用次数: 0

摘要

碎屑锆石的U–Pb定年在地质学中被广泛用于确定沉积物的来源,并约束古地理和构造史。为了了解华北克拉通的地质年代特征,我们采集了古元古代至早古生代地层的碎屑锆石。在筛选和整理数据信息后,我们对2006年至2022年的84篇论文进行了管理和分析。从华北克拉通(NCC)的元古代至奥陶纪沉积岩中采集的379个样品,包括29431个碎屑锆石的U–Pb年龄。详细讨论了华北克拉荷马盆地徐怀盆地、扎尔泰-白云鄂博-华德盆地、延辽盆地、熊耳盆地和阿拉善地块五个地区的碎屑锆石。同时,我们在研究中收集了2588条Lu‐Hf碎屑锆石数据。该数据库有助于理解和解释新元古代至早古生代北卡罗来纳州的构造演化。
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 in the North China Craton from the Paleoproterozoic to the early Palaeozoic

A database of detrital zircon U–Pb ages in the North China Craton from the Paleoproterozoic to the early Palaeozoic

A database of detrital zircon U–Pb ages in the North China Craton from the Paleoproterozoic to the early Palaeozoic

U–Pb dating of detrital zircon is widely used in geology to identify the source of sediments and constrain palaeogeography and tectonic history. We collected the detrital zircon from the Paleoproterozoic to early Palaeozoic strata to understand the North China Craton's geological chronological characteristics. After screening and sorting out data information, we managed and analysed 84 papers from 2006 to 2022. Three hundred seventy-nine samples comprising 29,431 pieces of U–Pb ages of detrital zircons gathered from the Proterozoic to Ordovician sedimentary rocks in North China Craton (NCC). Detrital zircons within five areas in the NCC, i. e., Xuhuai Basin, Zhaertai-Bayan Obo-Huade Basin, Yanliao Basin, Xiong'er Basin and Alxa Block, are discussed in detail. Meanwhile, we collected 2,588 pieces of Lu-Hf detrital zircon data in the study. This Database can be helpful in understanding and explaining the tectonic evolution of the NCC from the Paleoproterozoic to the Early Palaeozoic.

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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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