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Availability of the morphological database on http://www.morphobank.org is made possible by NSF-USA Tree of Life grant 0629860.
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Although large-scale comparative morphological analyses based on advanced digital imaging modalities have so far been exploited only in a handful of studies [ 10, 14, 28], the predicted increase in digital data necessitates advances primarily in two areas: the remote visualization of complex data and the creation of a universally accepted morphological database.
This paper proposes a novel framework to help biologists explore and analyze neurons based on retrieval of data from neuron morphological databases.
Imaging data is deposited in morphological databases, and biodiversity data in the Barcode of Life databases.
In this paper, I present an image-rich, morphological character-database focusing on placental mammals, in tandem with a reanalysis of morphological and sequence data that bear on placental mammal phylogeny.
WHO global database on anaemia.
Create a Database on your hosting account.
Here, I present a graphical web-database of morphological characters focusing on placental mammals, in tandem with a combined-data phylogenetic analysis of placental mammal phylogeny.
Then, a new classification method, referred to as move median centers (MMC) hypersphere classifier, for the leaf database based on digital morphological feature is proposed.
Signal quality estimated by the morphological similarity on ECG signal from MIT-BIH Arrhythmia database at Physionet.org.org
Studies which did not measure morphological variables on similar dimensions (i.e. in units of length) were excluded from the database.
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