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This archive contains supplementary materials relating to the
investigation of morphological differences in Bemisia tabcai puparia as
rescribed in MacLeod, N., Canty, R.J., and Polazek, A., 2022,
Morphology-based identification of Bemisia tabaci cryptic species puparia
via embedded group-contrast convolution neural network analysis:
Systematic Biology. The materials archived include (1) and inventory of
all puparial images, (2) full sets of results files for the image-based
t-SNE and embedded, group-contrasts CNN analyses, (3) Wolfram
Mathematical™ scripting code lisitngs for the image processing and CNN
software used in the analysis.
167 views reported since publication in 2021.