Abstract
A knowledge of the morphology of seeds and diaspores is an invaluable
resource that has prompted the compilation of descriptions and/or images
in a variety of media, including databases with standardized protocols
for trait measurement. The pressing need for new solutions to solve
environmental crises, together with advances in the application of
machine learning and image analysis to solve ecological problems, call
for an upgrade of the diaspore morphological datasets. Here, we present
DiasMorph, a dataset of morphological traits and images of diaspores
from 1,437 taxa in 513 genera, and 96 families from Central Europe,
totalling 94,214 records. DiasMorph compiles information on quantitative
morphological traits extracted from the images following a standardized
and reproducible image analysis method, and include not only traditional
morphometric measurements, but also colour, and shape features made
available for the first time in a large dataset. The quantitative traits
records correspond to measurements of individual diaspores, an input
currently unavailable in traits databases that will allow for several
approaches to be used for a complete exploration of the morphological
traits of these species. We also included information on the presence
and absence of appendages and structures in the diaspores of the
evaluated taxa. By making these data available, we aim to encourage
initiatives to advance on new tools for diaspore identification, further
our understanding of morphological traits functions, and provide means
for the continuous development of image analyses applications.
Keywords: diaspore appendages, dispersal unit, image dataset,
plant traits dataset, seed colour, seed morphology, seed shape, seed
size, seed traits.
Cited by
1 articles.
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