宣城乔麦山铜硫矿床典型钻孔pxrf地球化学数据集

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Mingming Zhang, Junqin Jiao, Guoyu Zhou, Siyang Li, Chengbao Wang, Jinxiao Long, Can Ge, Liang Wang, Hongdong Fang
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引用次数: 0

摘要

钻取的岩心为矿床研究提供了第一手资料。岩心不同深度的元素组成是评价矿床储量的重要依据。因此,一个包含完整岩心元素内容的数据集具有很大的实用价值。采用pXRF分析仪对宣城乔麦山铜硫矿床ZK16 + 02、ZK16 + 03、ZK16 + 04、ZK1804、ZK18 + 02、ZK1403、ZK1602和ZK1604 8个岩心进行了元素含量测定,获得了地球化学数据集。数据集包括Cu、S、Fe、W、Mg、Al、Si、As、Mn、Co、Ni、Zn、Se、Ti、V、Cr、Ca、Cl、P、Sr、Y、Zr、Nb、Mo、Pb、Th、U等27种主微量元素。基于该数据集,可以检测岩心中主、微量元素含量的垂直变化规律,绘制全孔或勘探线剖面中元素的分布,并进行元素相关分析和主成分分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A pXRF-based geochemical dataset of typical boreholes in Xuancheng Qiaomaishan copper–sulphur deposit

A pXRF-based geochemical dataset of typical boreholes in Xuancheng Qiaomaishan copper–sulphur deposit

A pXRF-based geochemical dataset of typical boreholes in Xuancheng Qiaomaishan copper–sulphur deposit

Drilled cores provide first-hand data for deposit research. The element compositions at different depths of cores are an important basis for evaluating the reserves of mineral deposits. Therefore, a dataset containing a complete drill core element content has great value on practicality. In this study, a pXRF analyser was used to measure the element contents in eight cores of the Xuancheng Qiaomaishan copper–sulphur deposit ZK16 + 02, ZK16 + 03, ZK16 + 04, ZK1804, ZK18 + 02, ZK1403, ZK1602, and ZK1604, and a geochemical dataset was obtained. The dataset includes Cu, S, Fe, W, Mg, Al, Si, As, Mn, Co, Ni, Zn, Se, Ti, V, Cr, Ca, Cl, P, Sr, Y, Zr, Nb, Mo, Pb, Th, U, and other 27 major and trace elements. Based on this dataset, the vertical variation pattern of main and trace element content in drill cores can be examined, the distributions of elements in full hole or exploration line profile can be drawn, and element correlation analysis and principal component analysis can be performed.

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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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