Fungal spores from Gonghai Lake


The data set contains the content of fungal spores from Gonghai Lake (38°54′N, 112°14′E, altitude 1860 m) in northern China since the Deglaciation. We have completed the fungal spores analyses of 466 sedimentary samples. Palynomorph extraction followed the routine process with HCl, NaOH, and HF treatments during the extraction. We use analyses of Sporormiella-type coprophilous fungal spores, together with other sequence of fungal spores to reconstruct the population dynamics of large herbivore and the history of grazing activity during the Holocene in northern China. Our work will be helpful for understanding past human-induced geophysical process. The data is stored in Excel format.

数据使用方法

Fungal spores from Gonghai Lake(20210105); In .excel format, can be opened and analysed in Microsoft EXCEL software


本数据要求的引用方式
数据的引用

Xiaozhong HUANG, Jun ZHANG. (2021). Fungal spores from Gonghai Lake. 国家青藏高原科学数据中心, 2021. doi: 10.11888/Paleoenv.tpdc.271087.
[Huang, X., Zhang, J. (2021). . National Tibetan Plateau Data Center, 2021]

使用本数据时必须引用“文章的引用”中列出的文献,并进行数据的引用

使用条款

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)



资助项目

第二次青藏高原综合科学考察研究

相关资源
数据评论

登录 后可以添加数据评论。

关注
关键词
空间位置
East: 111.14 West: 111.14
South: 38.50 North: 38.50
数据细节
  • 时间分辨率:10 year < x < 100 year
  • 空间分辨率:1º-10º
  • 大小:0.09 MB
  • 浏览:266 次
  • 下载量:1 次
  • 共享方式: 保护期内
  • 元数据更新时间:2021-01-05
  • 保护期已过了1167.0%
联系信息

Xiaozhong HUANG、 Jun ZHANG

分发方: 时空三极环境大数据平台

Email: poles@itpcas.ac.cn

导出元数据