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辽北清原杂岩锆石年代学与地球化学测试数据集

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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.g.2018.p3
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The dataset of zircon geochronological testing of the Qingyuan Complex in Northern Liaoning Province gets its information from the rock testing and analysis activities under the financial support of the project 'Global Correlation of Asian's Neoarchean Strata', which is actually based on the program 'Compilation of Asian Serial Geological Maps and Research of Related Major Geological Thematic Issues'. The zircon chronological data can precisely reflect the protolith's genetic epochs and their subsequently experienced tectonic-magmatic events. The lithogeochemical data can reflect the chemical features of the rocks themselves. The combination of the above two types of data can provide scientific evidences and basic data support for the study of the crustal evolution in the Northern Liaoning Province. This paper has analyzed the rock samples from the mid-to-high grade metamorphic supracrustal rocks and the tonalitic-trondhjemitic-granodioritic gneiss (TTG gneiss) units in the Qingyuan Complex in Northern Liaoning Province; their rock types include:gneissoid granodiorite, tonalitic gneiss, trondhjemitic gneiss, granodioritic migmatitic gneiss, diopside-amphibolitic leptynite, amphibolitic biotite plagioclase gneiss, gneissoid charnockitic granite, garnet charnockite biotite plagioclase gneiss, granitic gneiss, amphibolitic diopside biotite plagioclase gneiss, metamorphic intermediate volcanic rocks, biotite plagioclase gneiss, plagioclase amphibolite, and sillimanite garnet gneiss. This dataset is of Excel format tables, including 2.xls type files (Zircon_U-Pb dating data_QY.xls, Geochemistry data_QY.xls), which have respectively recorded the zircon U-Pb dating data and the geochemical data of the samples. All the testing process is finished by National Geological Experiment and Testing Center of China with the results being highly reliable.
提供机构:
Geoscientific Data and Discovery Publishing
创建时间:
2018-05-29
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