Geodynamic evolution model of Cu-Mo polymetallic granodiorite (porphyry) in the Chizhou area- A Big Earth Data Platform for Three Poles

The data include: a brief introduction of the geodynamic evolution model of the formation of Cu Mo polymetallic granodiorite (porphyry) in Chizhou area. The changes of geological structure before and after 150mA in Chizhou area, as well as the changes of influence on metallogenic model, are shown in the figure. At 150 mA, Chizhou area was affected by the inversion of the paleo Pacific plate, forming an arc rift environment without marine sediments. The fluid released from the plate melted the mantle wedge material, produced a high oxygen fugacity environment, formed chlorine rich fluid and mixed mantle crust magma, promoted the extraction and migration of metals, and finally formed the copper molybdenum polymetallic deposit in Chizhou area.

The above data have been published in SCI high-level journals, and the data are true and reliable. The data is stored in JPG format.

File naming and required software

The data is stored in JPG format without file naming. Usage: open the data through the software with image editor function.

Data Citations Data citation guideline What's data citation?

Cite as:

Xie, J. (2021). Geodynamic evolution model of Cu-Mo polymetallic granodiorite (porphyry) in the Chizhou area. A Big Earth Data Platform for Three Poles, DOI: 10.1016/j.oregeorev.2019.04.018. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Jx, A., Dt, A., Dx, A., Yu, W.A., Ql, A., & Xy, B., et al. (2019). Geochronological and geochemical constraints on the formation of chizhou cu-mo polymetallic deposits, middle and lower yangtze metallogenic belt, eastern china. Ore Geology Reviews, 109, 322-347.( 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)