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中国西南部乌蒙山区矿产地信息数据集

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DataCite Commons2020-07-15 更新2024-07-13 收录
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http://datacite.lib.tsinghua.edu.cn/datacite/Resolution/Handler?doi=10.23650/data.c.2018.p14
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This dataset was established based on extensive collection of information on the results from various mineral explorations in the Wumengshan Region, Southwestern China. The data are presented in three sections:mineral deposit's basic information, mineral deposit geology, and dataset codes obtained by processing mineral deposits information of different mineral species as systematic classification, extraction, summarization and refining, and data quality inspection. The attribute data information on mineral deposit include mineral deposit's number and name, mineral species, location, latitude and longitude, genetic type of deposit, paragenetic deposit, associated deposit, deposit scale and formation age, etc.. The data represent exploration results from 2013 to 2016, covering 27 mineral species and 1,834 mineral deposits. The data information on mineral deposit geology include mineral deposit's number, geotectonic location, litho-stratigraphic unit, intrusive rock, volcanic rock, metamorphic rock, geological structure feature and alteration of wall rock, etc. for 769 mineral deposits. The data information on dataset codes include mineral species, Level-Ⅲ and Level-IV metallogenic belts, genetic type of deposit, deposit scale, geological work level, and exploration intensity, etc.. This dataset contains abundant and credible data for a wide range of mineral species, providing important fundamental reference data for subsequent in-depth mineral resource evaluation, geological scientific research and mineral development deployment over the region.

本数据集依托中国西南乌蒙山区多类矿产勘查成果的系统性信息采集构建而成。数据内容分为三个模块:矿床基础信息、矿床地质,以及通过对不同矿种的矿床信息开展系统分类、提取、归纳、提纯并经数据质量核验后生成的数据集编码。矿床属性信息包括矿床编号与名称、矿种、产地、经纬度、矿床成因类型、共生矿床、伴生矿床、矿床规模及形成时代等。本次数据集涵盖2013至2016年的勘查成果,涉及27个矿种,共计1834处矿床。针对769处矿床的矿床地质数据包括:矿床编号、大地构造位置、岩石地层单位、侵入岩、火山岩、变质岩、地质构造特征及围岩蚀变等信息。数据集编码信息包括矿种、三级及四级成矿带、矿床成因类型、矿床规模、地质工作程度及勘查强度等。本数据集涵盖多类矿种的丰富且可靠的数据,可为该区域后续开展矿产资源深度评价、地质科学研究及矿产开发部署提供重要的基础参考数据。
提供机构:
Geoscientific Data and Discovery Publishing
创建时间:
2019-01-07
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