DOI: 10.5061/dryad.vx0k6dk2q
title: Sequence numbers and statistical data from: Ainsliaea guniuensis (Asteraceae), a new species from Southern Anhui, Eastern China

description: Ainsliaea guniuensis W.Y. Ni &
 S.Y. Zhang sp. nov, a new species from the Guniujiang
 National Nature Reserve in southern Anhui, eastern China, is
 described based on morphological and molecular
 evidence. The new species is distinguishable from
 morphologically related species (A. fragrans and A.
 kawakamii) by its usually sub-paniculate inflorescences, thickly
 chartaceous leaves with veins noticeably sunken, and well-developed
 villous hairs on the abaxial surface of the leaf. Along with
 comments on its conservation, distribution, ecology and taxonomy,
 an identification key to all species of Ainsliaea occurring in
 eastern China is also presented.
description: Here, we present the supplementary data used in the article in
 the form of an EXCEL spreadsheet. In the "sequence number"
 sheet, the NCBI accession numbers of the three sequences (ITS/ETS/ndhF)
 used to construct the phylogenetic tree in the article are shown, where
 "-" represents the missing sequence and the bold ones represent
 the newly generated sequences by us. In the "morphological data"
 sheet, the measured morphological statistical data of the new species and
 its two related species are presented. We measured the leaf length, leaf
 width, leaf area, and leaf perimeter of the four largest leaves of each of
 the five individuals of each species (i.e., 20 leaves for each species),
 and also measured the distance from the leaf blade to the stem base of
 each individual. After averaging the leaf indices of each individual, a
 principal component analysis was performed in combination with the stem
 length (the averaged individual indices are shown below the green
 horizontal line labeled PCA). In addition, the stem lengths of another 15
 individuals of each species were measured, and the other indices of these
 individuals are missing and are indicated by '-'. Therefore, we
 obtained 20 data for each of the five morphological indices (leaf length,
 leaf width, leaf area, leaf perimeter, and distance from the leaf blade to
 the stem base) of the three species, and thus the morphological
 statistical results are presented in the form of box plots in the
 article.
description: # Sequence numbers and statistical data from: Ainsliaea guniuensis
 (Asteraceae), a new species from Southern Anhui, Eastern China
 [https://doi.org/10.5061/dryad.vx0k6dk2q](https://doi.org/10.5061/dryad.vx0k6dk2q) ## Description of the data and file structure Here, we present the supplementary data used in the article in the form of an EXCEL spreadsheet. In the "sequence number" sheet, the NCBI accession numbers of the three sequences (ITS/ETS/ndhF) used to construct the phylogenetic tree in the article are shown, where "-" represents the missing sequence and the bold ones represent the newly generated sequences by us. In the "morphological data" sheet, the measured morphological statistical data of the new species and its two related species are presented. We measured the leaf length, leaf width, leaf area, and leaf perimeter of the four largest leaves of each of the five individuals of each species (i.e., 20 leaves for each species), and also measured the distance from the leaf blade to the stem base of each individual. After averaging the leaf indices of each individual, a principal component analysis was performed in combination with the stem length (the averaged individual indices are shown below the green horizontal line labeled PCA). In addition, the stem lengths of another 15 individuals of each species were measured, and the other indices of these individuals are missing and are indicated by '-'. Therefore, we obtained 20 data for each of the five morphological indices (leaf length, leaf width, leaf area, leaf perimeter, and distance from the leaf blade to the stem base) of the three species, and thus the morphological statistical results are presented in the form of box plots in the article.