华南寒武系—古近系碎屑锆石年代学数据库

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geoscience Data Journal Pub Date : 2023-09-07 DOI:10.1002/gdj3.196
Tianle Xia, Kuizhou Li, Lisha Hu, Zilin Zhao, Yu Huang, Qianli Ma, Liang Qi
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引用次数: 0

摘要

碎屑锆石数据库的复杂性为统计分析各种重大地质问题提供了一种手段。在这项工作中,我们试图收集华南显生宙碎屑锆石地质年代数据的数据库。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,该数据库共包含699个样本,55532个 U–Pb年龄和3770个有效Hf同位素数据,来自130篇论文。我们的数据库中包含了丰富的信息,包括参考标题、样本ID、位置、岩石类型、研究机构、GPS坐标、U–Pb年龄、εHf(t)值等,所有数据都可以从DDE数据发布和存储库网站下载,https://repository.deep‐time.org/。通过整合的数据,我们可以改进以前的研究,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。

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A database of detrital zircon geochronology ages of Cambrian to Paleogene deposits in South China

Complications of detrital zircons databases provide a means for statistically analysing a variety of significant geological problems. In this work, we tried to collect a database about the South China Phanerozoic detrital zircon geochronology data. The data statistics of this paper rely on the OneSediment Working Group of The Deep-time Digital Earth program (DDE). By November 2022, the database contains a total of 699 samples with 55,532 U–Pb ages and 3,770 effective Hf isotope data, from 130 papers. Abundant information including reference title, sample ID, locality, rock type, research institution, GPS coordinates, U–Pb ages, εHf(t) values, etc., have been involved in our database, and all data can be downloaded from DDE Data Publish & Repository website, https://repository.deep-time.org/. Through the integrated data, we can improve the previous studies and 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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