Database of migmatite types and genesis in North Dabie- A Big Earth Data Platform for Three Poles

The data is in JPG format. Through the experimental data, zircon chronology and trace element analysis data, the whole rock geochemical analysis data.

Zircon geochronology data were analyzed by LA-ICP-MS in mass spectrometry Laboratory of School of resources and environmental engineering, Hefei University of technology.

The whole rock geochemical analysis was carried out in the EPMA laboratory, School of resource and environmental engineering, Hefei University of technology. The instrument used was jeol-jxa-8230 EPMA analyzer of Japan Electronics Company.

The results of JPG data include: geological map of Dabie orogenic belt, geological sketch of Dabie structure, static photos of migmatite samples, cathodoluminescence map of zircon in gneiss and dark enclave, concordance map of zircon, classification map of feldspar, composition map of calcareous amphibole, classification map of biotite, and mafic map of biotite.

This data can provide evidence support for genetic analysis of migmatite in North Dabie.

File naming and required software

File name: the sample data number is composed of, and the file name is "yyddbb", where YY represents the sampling year, DD represents the specific sampling location, and BB represents the sample number

Data Citations Data citation guideline What's data citation?

Cite as:

Yan, J. (2021). Database of migmatite types and genesis in North Dabie. A Big Earth Data Platform for Three Poles, DOI: 10.19719/j.cnki.1001-6872.2017.02.003. (Download the reference： RIS | Bibtex )

Related Literatures:

1. 陈永康, 闫峻, 刘晓强, 张媛媛, & 李全忠. (2017). 北大别混合岩类型及其成因. 矿物岩石(2).( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Deep processes and resource effects of major geological events during the Yan Mountains period (No:2016YFC0600400)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)