Open data and digital morphology

Davies, TG; Rahman, IA; Lautenschlager, S; Cunningham, JA; Asher, RJ; Barrett, PM; Bates, KT; Bengtson, S; Benson, RB; Boyer, DM; Braga, J; Bright, JA; Claessens, LP; Cox, PG; Dong, XP; Evans, AR; Falkingham, PL; Friedman, M; Garwood, RJ; Goswami, A; Hutchinson, JR; Jeffery, NS; Johanson, Z; Lebrun, R; Martínez-Pérez, C; Marugán-Lobón, J; O'Higgins, PM; Metscher, B; Orliac, M; Rowe, TB; Rücklin, M; Sánchez-Villagra, MR; Shubin, NH; Smith, SY; Starck, JM; Stringer, C; Summers, AP; Sutton, MD; Walsh, SA; Weisbecker, V; Witmer, LM; Wroe, S; Yin, Z; Rayfield, EJ; Donoghue, PC

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Issue date

12/04/2017

Submitted date

2017-05-03

Subject Terms

digital data
three-dimensional models
phenotype
computed tomography
visualization
functional analysis

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Citation

Davies TG et al. 2017 Open data and digital morphology. Proc. R. Soc. B 284: 20170194. http://dx.doi.org/10.1098/rspb.2017.0194

Type

Journal Article

Item Description

© 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. The attached file is the published version of the article.
NHM Repository

ISSN

0962-8452

EISSN

1471-2954

Collections

Life sciences

Earth sciences

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Creative Commons

Except where otherwise noted, this item's license is described as openAccess