A database of detrital zircon U–Pb ages and Hf isotopic compositions from the Tarim, West Kunlun, Pamir, Tajik and Tianshuihai terranes

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Shijie Zhang, Xiumian Hu, Jinrong Zhang, Qing Li, Yiwei Xu, Yuyang Yu, Liqin Han
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Abstract

With the development of detrital zircon U–Pb ages and Hf isotope analysis as conventional sedimentological research methods, a large number of studies have been conducted in the Tarim, West Kunlun, Tajik, Pamir and Tianshuihai regions and abundant data have been accumulated. Summarizing these data to characterize sedimentary units and source regions is more important than local studies of specific geological epochs; therefore, we compiled a database of detrital zircon U–Pb ages and Hf isotope analyses from the Tarim, West Kunlun, Pamir, Tajik and Tianshuihai terranes. The database contains data from 90 papers, including 35,281 individual U–Pb ages and 4,181 Hf isotope analyses. The database records the literature source, petrologic sample information, regional geological information, geographic coordinates and analytical parameters for each data point in as much detail as possible to allow readers to review, process, analyse and use the data. The database relies on the Deep-time Digital Earth (DDE) platform and uses an open database update system to enable sharing and collaborative building. We encourage other researchers to contribute relevant published data to facilitate wider use.

Abstract Image

Abstract Image

塔里木、西昆仑、帕米尔、塔吉克和天水海地体碎屑锆石U-Pb年龄和Hf同位素组成数据库
随着碎屑锆石U–Pb年龄和Hf同位素分析作为常规沉积学研究方法的发展,在塔里木、西昆仑、塔吉克、帕米尔和天水地区进行了大量的研究,积累了丰富的数据。总结这些数据来表征沉积单元和源区比对特定地质时代的局部研究更重要;因此,我们编制了塔里木、西昆仑、帕米尔、塔吉克和天水海地体碎屑锆石U–Pb年龄和Hf同位素分析数据库。该数据库包含90篇论文的数据,包括35281个单独的U–Pb年龄和4181个Hf同位素分析。该数据库尽可能详细地记录每个数据点的文献来源、岩石学样本信息、区域地质信息、地理坐标和分析参数,以便读者审查、处理、分析和使用数据。该数据库依赖于深度数字地球(DDE)平台,并使用开放的数据库更新系统来实现共享和协作构建。我们鼓励其他研究人员贡献已发表的相关数据,以促进更广泛的使用。
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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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