3 Works

Abundance data of anuran species in forest fragments

M Almeida-Gomes, NJ Gotelli, CFD Rocha, MV Vieira & JA Prevedello
Understanding the effects of random versus niche-based processes on biodiversity patterns is a central theme in ecology, and an important tool for predicting effects of habitat loss and fragmentation on biodiversity. We investigated the predictive power of random processes to explain species richness and species dissimilarity of amphibian assemblages in a fragmented tropical landscape of the Atlantic Forest of South America. We analyzed a large database of amphibian abundance and occupancy, sampled in 21 forest...

Dataset from: Lung evolution in vertebrates and the water-to-land transition

Camila Cupello, Tatsuya Hirasawa, Norifumi Tatsumi, Yoshitaka Yabumoto, Pierre Gueriau, Sumio Isogai, Ryoko Matsumoto, Toshiro Saruwatari, Andrew King, Masato Hoshino, Kentaro Uesugi, Masataka Okabe & Paulo M Brito
A crucial evolutionary change in vertebrate history was the Palaeozoic (Devonian ~400 million years ago) water-to-land transition, allowed by key morphological and physiological modifications including the acquisition of lungs. Nonetheless, the origin and early evolution of vertebrate lungs remain highly controversial, particularly whether the ancestral state was paired or unpaired. Due to the rarity of fossil soft tissue preservation, lung evolution can only be traced based on the extant phylogenetic bracket. Here we investigate, for...

Parallel generation of extensive vascular networks with application to an archetypal human kidney model

Luis Fernando Mendes Cury, MaurĂ­cio Younes-Ibrahim, Pablo Javier Blanco & Gonzalo Daniel Maso Talou
Given the relevance of the inextricable coupling between microcirculation and physiology, and the relation to organ function and disease progression, the construction of synthetic vascular networks for mathematical modelling and computer simulation is becoming an increasingly broad field of research. Building vascular networks that mimic in-vivo morphometry is feasible through algorithms such as constrained constructive optimisation (CCO) and variations. Nevertheless, these methods are limited by the maximum number of vessels to be generated due to...

Registration Year

  • 2022
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  • Dataset
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Affiliations

  • Rio de Janeiro State University
    3
  • University of Vermont
    1
  • Kanagawa Prefectural Museum of Natural History
    1
  • Japan Synchrotron Radiation Research Institute
    1
  • Soleil Synchrotron
    1
  • Federal University of Rio de Janeiro
    1
  • Federal University of Mato Grosso do Sul
    1
  • Jikei University School of Medicine
    1
  • University of Auckland
    1
  • Kitakyushu Museum of Natural History and Human History
    1