NEXUS morphological data file for phylogenetic analysis of Empoascini
Citation:
Xu, Ye; Dietrich, Christopher H.; Zhang, Yalin; Dmitriev, Dmitry; Zhang, Li; Wang, Yi-Mei; Lu, Si-Han; Qin, Dao-Zheng (2020): NEXUS morphological data file for phylogenetic analysis of Empoascini. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4470290_V1
If you use this dataset, please cite it.
Related Article Xu, Y, Dietrich, C.H., Zhang, Y., Dmitriev, D.A., Zhang, L., Wang, Y.M., Lu, S.H., Qin, D.Z. (in review) Phylogeny of the tribe Empoascini (Hemiptera: Cicadellidae: Typhlocybinae) based on morphological characteristics, with reclassification of the Empoasca generic group. Systematic Entomology.
Dataset Description

The Empoascini_morph_data.nex text file contains the original data used in the phylogenetic analyses of Xu et al. (Systematic Entomology, in review). The text file is marked up according to the standard NEXUS format commonly used by various phylogenetic analysis software packages. The file will be parsed automatically by a variety of programs that recognize NEXUS as a standard bioinformatics file format. The first nine lines of the file indicate the file type (Nexus), that 110 taxa were analyzed, that a total of 99 characters were analyzed, the format of the data, and specification for symbols used in the dataset to indicate different character states. For species that have more than one state for a particular character, the states are enclosed in square brackets. Question marks represent missing data.The pdf file, Appendix1.pdf, is available here and describes the morphological characters and character states that were scored in the dataset. The data analyses are described in the cited original paper.
Subject Life Sciences
Keywords Hemiptera; Cicadellidae; morphology; biogeography; evolution
License CC0
Funder U.S. National Science Foundation (NSF) - Grant: DEB-0715499
Funder U.S. National Science Foundation (NSF) - Grant: DEB-1639601
Funder China Scholarship Council - Grant: 201706300077
Funder National Natural Science Foundation of China - Grant: 31270689
Funder National Natural Science Foundation of China - Grant: 31420103911
Corresponding Creator Christopher H. Dietrich
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Version DOI Comment Publication Date
1 10.13012/B2IDB-4470290_V1 2020-08-01
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