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    钟婉婷, 刘增铁, 尹福光, 张玙, 金灿海. 中国西南部乌蒙山区矿产地信息数据集[J]. 中国地质, 2018, 45(S2): 75-82. DOI: 10.12029/gc2018Z209
    引用本文: 钟婉婷, 刘增铁, 尹福光, 张玙, 金灿海. 中国西南部乌蒙山区矿产地信息数据集[J]. 中国地质, 2018, 45(S2): 75-82. DOI: 10.12029/gc2018Z209
    ZHONG Wanting, LIU Zengtie, YIN Fuguang, ZHANG Yu, JIN Canhai. Dataset of mineral deposits information in the Wumengshan Region, Southwestern China[J]. GEOLOGY IN CHINA, 2018, 45(S2): 75-82. DOI: 10.12029/gc2018Z209
    Citation: ZHONG Wanting, LIU Zengtie, YIN Fuguang, ZHANG Yu, JIN Canhai. Dataset of mineral deposits information in the Wumengshan Region, Southwestern China[J]. GEOLOGY IN CHINA, 2018, 45(S2): 75-82. DOI: 10.12029/gc2018Z209

    中国西南部乌蒙山区矿产地信息数据集

    Dataset of mineral deposits information in the Wumengshan Region, Southwestern China

    • 摘要: 本数据集在广泛收集中国西南部乌蒙山区各种矿产勘查成果信息数据的基础上,按不同矿种对各类矿产信息进行分类提取、汇总提炼、数据质量检查等环节,提供矿产地基本信息、矿区地质特征、数据集代码三部分属性数据。其中,矿产地属性数据包括矿产地编号、矿种、矿产地名称、交通位置、经度、纬度、矿床成因类型、共生矿、伴生矿、矿床规模、成矿时代等16个方面的数据,涵盖自2013至2016年勘查成果,包括27个矿种,1 834个矿产地。矿区地质特征属性数据包括矿产地、矿区大地构造位置、岩石地层单位、侵入岩、火山岩、变质岩、地质构造特征、围岩蚀变等14个方面,涉及769个矿床(点)的资料。数据集代码属性数据包括矿种、三级成矿带、四级成矿带、矿床成因类型、矿床规模、地质工作程度、勘查程度等10个方面数据。本数据集矿种多样、内容丰富、数据可靠,为该区后续深入开展矿产资源评价、地质科学研究、矿产开发部署提供了重要的基础性参考数据资料。

       

      Abstract: 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.

       

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