西藏北部祁连-柴达木-昆仑拼贴岩现有碎屑锆石数据综述

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Weidong He, Jiaopeng Sun, Yunpeng Dong, Tao Qian, Teng Wang, Lei He, Yukun Qi
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引用次数: 0

摘要

本文简要介绍了西藏北部祁连-柴达木-昆仑拼合带最新碎屑锆石U-Pb地质年代数据库的收集和汇总过程、方法和结果。从已发表的121篇论文中收集整理了620个样品和59830个原始数据,其中包括70个带有原位锆石Lu-Hf同位素的样品。对来自七个不同地质亚单元的样品进行了分类。对于不同沉积年龄的沉积物,我们重点介绍了年龄跨度、概率密度分布、主要峰值和εHf(t)值的特征。该元数据集的详细原始数据将定期在 "深部时间数字地球 "资源库中提供,进一步的综合分析将有效地应用于有关祁连-柴达木-昆仑拼合带地质历史的各种科学尝试,特别是产状分析、地壳演化研究和超大陆重建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A synthesis of available detrital zircon data from the Qilian-Qaidam-Kunlun collage, northern Tibet

A synthesis of available detrital zircon data from the Qilian-Qaidam-Kunlun collage, northern Tibet

A synthesis of available detrital zircon data from the Qilian-Qaidam-Kunlun collage, northern Tibet

In this article, we present a brief introduction to the procedure, methods and results of the collection and summarization of an updated detrital zircon U–Pb geochronology database for the Qilian-Qaidam-Kunlun collage in northern Tibet. A total of 620 samples with 59,830 raw data were compiled from 121 published papers, including 70 samples with in-situ detrital zircon Lu–Hf isotopes. Samples from seven different geologic subunits are categorized. For sediments with different ages of deposition, we highlight the characteristics of age spans, probability density distributions, major peaks and εHf(t) values. Further syntheses of this metadata collection, the detailed raw data of which will be periodically accessible in the Deep-Time Digital Earth repository, would be effectively applied to a variety of scientific attempts concerning the geologic history of the Qilian-Qaidam-Kunlun collage, in particular, provenance analyses, crustal evolution studies and supercontinent reconstructions.

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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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