6 Works

Data from: Biases with the Generalized Euclidean Distance in disparity analyses with high levels of missing data

Oscar E.R. Lehmann, Martin D. Ezcurra, Richard J. Butler & Graeme T. Lloyd
The Generalized Euclidean Distance (GED) has been extensively used to conduct morphological disparity analyses based on palaeontological matrices of discrete characters. This is in part because some implementations allow the use of morphological matrices with high percentages of missing data without needing to prune taxa for a subsequent ordination of the data set. Previous studies have suggested that this way of using the GED may generate a bias in the resulting morphospace, but a detailed...

Data from: Endocranial anatomy and life habits of the Early Triassic archosauriform Proterosuchus fergusi

Emily Brown, Richard Butler, Martin Ezcurra, Bhart-Anjan Bhullar & Stephan Lautenschlager
Proterosuchids are an important group of carnivorous basal archosauriforms characterised by a bizarre and enigmatic downturned premaxilla that overhangs the lower jaw. They are particularly significant because they radiated in the immediate aftermath of the Permian–Triassic mass extinction, and represent one of the best known ‘disaster taxa’ following that event. While traditionally considered semi-aquatic, recent histological studies and geological data have suggested that they more likely inhabited terrestrial environments. By utilising computed tomographic (CT) data,...

Is Cyclocardia (Conrad) a wastebasket taxon? Exploring the phylogeny of the most diverse genus of the Carditidae (Archiheterodonta, Bivalvia)

Damian Perez & Luciana Giachetti
The carditid genus Cyclocardia is currently the most diverse genus of the family, including nearly 180 nominal species from a wide stratigraphical (Cretaceous–Recent) and geographical range (Antarctica, South and North America, Europe, Africa, Alaska, Russia, Japan, and New Zealand). Due to the lack of autapomorphies in the diagnosis of the genus and its large account of species, we re-evaluated the systematic and phylogenetic status of Cyclocardia. We carried out three approaches: bibliographic revision, phylogenetic analysis,...

Data from: Palaeoproteomics resolves sloth phylogeny

Samantha Presslee, Graham J. Slater, Francois Pujos, Analia M. Forasiepi, Roman Fischer, Kelly Molloy, Meaghan Mackie, Jesper V. Olsen, Alejandro Kramarz, Matias Taglioretti, Fernando Scaglia, Maximiliano Lezcano, José Luis Lanata, John Southon, Robert Feranec, Jonathan Bloch, Adam Hajduk, Fabiana M. Martin, Rodolfo Salas Gismondi, Marcelo Reguero, Christian De Muizon, Alex Greenwood, Brian T. Chait, Kirsty Penkman, Matthew Collins … & Ross D. E. MacPhee
The living tree sloths Choloepus and Bradypus are the only remaining members of Folivora, a major xenarthran radiation that occupied a wide range of habitats in many parts of the western hemisphere during the Cenozoic, including both continents and the West Indies. Ancient DNA evidence has played only a minor role in folivoran systematics, as most sloths lived in places not conducive to genomic preservation. Here we utilize collagen sequence information, both separately and in...

Data from: Contrasting evolutionary histories in Neotropical birds: divergence across an environmental barrier in South America

Pablo D. Lavinia, Ana S. Barreira, Leonardo Campagna, Pablo L. Tubaro & Dario A. Lijtmaer
Avian diversity in the Neotropics has been traditionally attributed to the effect of vicariant forces promoting speciation in allopatry. Recent studies have shown that phylogeographic patterns shared among co-distributed species cannot be explained by a single vicariant event, as species responses to a common barrier depend on the biological attributes of each taxon. The open vegetation corridor (OVC) isolates Amazonia and the Andean forests from the Atlantic Forest, creating a notorious pattern of avian taxa...

Unexpected high accuracy of landscape genetics inference with convolutional neural networks

Marcelo Kittlein, Matías Mora, Fernando Mapelli & Ailin Austrich
During the last decade convolutional neural networks (CNNs) have revolutionized the application of machine learning methods to classification tasks and object recognition.

Registration Year

  • 2019

Resource Types

  • Dataset


  • Bernardino Rivadavia Natural Sciences Museum
  • University of Birmingham
  • University of Buenos Aires
  • New York State Museum
  • National University of La Plata
  • University of Leeds
  • University of Chicago
  • Florida Museum of Natural History
  • University of Copenhagen
  • National Scientific and Technical Research Council