Stomatal parameters of fossil plants include stomatal density and stomatal index. Stomatal density is the number of stomata per unit area, usually expressed as the number of stomata per square millimeter leaf area. Stomatal index is the percentage of stomatal number to the total number of stomatal and epidermal cells. The cuticle with stomata is located at the interface between plant and atmosphere, which contains important data about the relationship between plant and living environment. Moreover, the new technology of cuticle analysis can make many plant leaf fossils become valuable paleo atmospheric environment database. This data comes from my team and other published papers. I will make statistics, screen and upload the stomatal parameter data in these published papers. At present, stomatal parameters are widely used, such as: using stomatal parameters to calculate paleoatmospheric CO² concentration, using stomatal parameters to reconstruct paleo sea level, etc.

File naming and required software

The data of stomatal parameters are stored in Excel format, and the file name is "sitetimes. XLS", where site represents the location and times represents the age. For example, the early Jurassic XLS in eastern Zhejiang represents that this file is the stomatal parameter data of Early Jurassic plant fossils in eastern Zhejiang.
Data reading method: the data are statistics, which can be opened by Excel, and the content is stomatal parameters of a certain plant fossil in a certain area and a certain era.

Data Citations Data citation guideline What's data citation?

Cite as:

Zhang, M. (2021). Data set of stomatal parameters of fossil plants in some regions of China (2008-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/SolidEar.tpdc.272429. CSTR: 18406.11.SolidEar.tpdc.272429. (Download the reference： RIS | Bibtex )

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

Support Program

Second Tibetan Plateau Scientific Expedition Program

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