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Dataset of pollen morphological traits of 56 dominant species among desert vegetation in the eastern arid central Asia.
Lu, Kai-Qing; Xie, Gan; Li, Min; Li, Jin-Feng; Trivedi, Anjali; Ferguson, David K; Yao, Yi-Feng; Wang, Yu-Fei.
Afiliação
  • Lu KQ; State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China.
  • Xie G; University of Chinese Academy of Sciences, Beijing 100039, China.
  • Li M; State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China.
  • Li JF; University of Chinese Academy of Sciences, Beijing 100039, China.
  • Trivedi A; State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China.
  • Ferguson DK; State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China.
  • Yao YF; Birbal Sahni Institute of Palaeosciences, 53 University Road, Lucknow 226007, India.
  • Wang YF; University of Vienna, Institute of Palaeontology, Althanstrasse 14, Vienna A-1090, Austria.
Data Brief ; 18: 1022-1046, 2018 Jun.
Article em En | MEDLINE | ID: mdl-29900271
ABSTRACT
The data presented in this article are related to the research article entitled "Pollen spectrum, a cornerstone for tracing the evolution of the eastern central Asian desert" (JQSR 5260) (Lu et al., 2018) [1] In this paper, we supply a dataset, which provides a descriptive and general summary of pollen characteristic of desert dominant species in the eastern arid central Asia (ACA). The other important component is the illustration on pollen grains traits under light microscopy (LM) and scanning electron microscopy (SEM). Pollen grains of 56 species are extracted from voucher specimens from the PE herbarium at the Institute of Botany. It is worth noting that these species own special distribution patterns in China. The distribution maps are plotted using the Google Maps and the species distribution data at the county level supplied by the Chinese Virtual Herbarium (http//www.cvh.ac.cn/).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2018 Tipo de documento: Article