Wentao Yang, Qiang Li, Jianghai Yang, Te Fang, Rui Ma
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引用次数: 0
摘要
建立碎屑锆石数据库对地球科学研究非常重要。我们从 "科学网"(Web of Science)和 "中国国家知识基础设施"(China National Knowledge Infrastructure)上的文章中汇编了华北地块上古生界-中生界地层中27915个U-Pb年龄和4968个Hf同位素组成的碎屑锆石数据。该数据集产生了五个年龄组,分别为3.9-1.0 Ga、1,000-540 Ma、540-360 Ma、360-240 Ma和240-95 Ma。3.9-1.0 Ga组有两个峰值,分别在~2.5 Ga和~1.85 Ga。1,000-540 Ma 和 540-380 Ma 组有三个峰值,分别位于 ~920 Ma、780-750 Ma 和 ~440 Ma。年龄为 360-240 Ma 的锆英石碎片在 ~380 Ma、 ~320 Ma、 ~280 Ma 和 ~250 Ma 处有多个年龄峰值。年龄为 240-95 Ma 的一组锆石在 ~220 Ma、 ~180 Ma、 ~160 Ma 和 ~120 Ma 处有四个年龄峰值。相应的εHf(t)值在-81.3到+41.9之间,两阶段Hf模型年龄(TDM2)为4,335-204 Ma。该数据集为华北地块古生代-中生代演替提供了全面系统的锆英石数据档案,可用于追踪构造沉积和地壳演化。在使用该数据集时,需要考虑两个问题。首先,每个样品的碎屑锆石分析数量差异明显,这可能会影响数据集的解释。其次,样本的地层年龄可能存在很大的不确定性。
Dataset of detrital zircon U–Pb ages and Hf isotopic compositions for the late Paleozoic–Mesozoic strata in the North China block
The construction of databases of detrital zircon is important for Earth science research. A total of 27,915 U–Pb ages and 4,968 Hf isotopic compositions of detrital zircons from the upper Paleozoic–Mesozoic strata of the North China Block were compiled from articles in the Web of Science and the China National Knowledge Infrastructure. This dataset yields five age groups, at 3.9–1.0 Ga, 1,000–540 Ma, 540–360 Ma, 360–240 Ma and 240–95 Ma. The 3.9–1.0 Ga group has two peaks at ~2.5 and ~ 1.85 Ga. The 1,000–540 Ma and 540–380 Ma groups have three peaks at ~920 Ma, 780–750 Ma and ~ 440 Ma. Detrital zircon grains with ages of 360–240 Ma have multiple age peaks at ~380, ~320, ~280 and ~250 Ma. The group with ages of 240–95 Ma yields four peak ages at ~220, ~180, ~160 and ~120 Ma. Corresponding εHf(t) values range from −81.3 to +41.9, with two-stage Hf model ages (TDM2) of 4,335–204 Ma. This dataset provides a comprehensive and systematic archive of detrital zircon data for Paleozoic–Mesozoic successions in the North China Block, which can be used to track tectono-sedimentary and crustal evolution. In using this dataset, two issues need to be considered. First, the number of detrital zircon analyses from each sample varies markedly, which may influence the interpretation of the dataset. Second, there may be large uncertainties in the stratigraphic ages assigned to the samples.
Geoscience Data JournalGEOSCIENCES, 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.