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Data from: The Polycytellidae viewed as Gondwanan Glosselytrodea

Citation

Béthoux, Olivier; Anderson, John (2021), Data from: The Polycytellidae viewed as Gondwanan Glosselytrodea, Dryad, Dataset, https://doi.org/10.5061/dryad.4f4qrfjc0

Abstract

The material of Glosselytrodea from the Molteno Formation (Triassic, South Africa), consisting of two specimens, is herein studied. A preliminary comparative analysis is conducted based on the new material and new data on Polycytella triassica Tillyard, 1922 (Triassic, Australia), highlighting the relevance of the width of the area anterior to RA (particularly, opposite the end of ScP), an area very broad in Polycytella Tillyard, 1922, Argentinoglosselytrina Martins-Neto and Gallego, 2001 (Triassic, Argentina) and in the new material from the Molteno. An emended diagnosis of the Polycytellidae is elaborated accordingly. The material from the Molteno is assigned to Polycytella rasnitsyni gen. et sp. nov. and Moltenojurina parva gen. et sp. nov., the latter being the smallest Glosselytrodea known to date. As newly delimited, the Polycytellidae are strictly Gondwanian.

Methods

The provided RTI file was derived from a set of 58 photographs obtained using a prototypal light dome of about 30 cm in diameter and equipped with 58 LEDs. Both the light dome and camera (a Canon EOS 5D Mark III equipped with a Canon MP-E 65 mm macro lens; Tokyo, Japan) where driven by a prototypal control box. Obtained images were then batch-optimized using Adobe Photoshop CS6 (Adobe Systems, San Jose, CA, USA) and were further compiled into an RTI file using the RTI Builder software v. 2.0.2 (freely available under GNU license, using the HSH fitter; Cultural Heritage Imaging).

Usage Notes

The RTI file can be opened using the RTIviewer software (freely available from Cultural Heritage Imaging).

Funding

Action Transversale Muséum Emergences, Award: 2014

Action Transversale Muséum Emergences, Award: 2015

Deutsche Forschungsgemeinschaft, Award: WA 1492/12-1

Action Transversale Muséum Emergences, Award: 2014