Data from: Tuning Geometric Morphometrics: an R tool to reduce information loss caused by surface smoothing

Profico A, Veneziano A, Lanteri A, Piras P, Sansalone G, Manzi G

Date Published: May 17, 2016

DOI: http://dx.doi.org/10.5061/dryad.28631

 

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Title R code for topological noise removal through decimation and smoothing
Downloaded 9 times
Description This file contains the code written in R for removing topological noise from a mesh, by applying decimation and smoothing procedures. The code makes use of the tool described in the main text of the paper.
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Title Surface smoothing procedure for applications of Geometric Morphometrics
Downloaded 4 times
Description R code for the tool described in the main text of the paper. The tool performs an estimation of the smoothing settings providing the highest recovery or lowest loss of topological information in a Geometric Morphometric context.
Download Sup2.r (24.59 Kb)
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Title venus.mesh
Downloaded 1 time
Description The 3D model used in the example shown in the supplementary information of the paper (used with the code in Sup1.R).
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Title SCP1.mesh
Downloaded 1 time
Description The 3D model of the neanderthal cranium of Saccopastore 1 used in the example shown in the supplementary information of the paper (used with the code in Sup2.R).
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Title SCP1.Lset
Downloaded 2 times
Description The 3D landmark set recorded on the neanderthal cranium of Saccopastore 1 and used in the example shown in the supplementary information of the paper (used with the code in Sup2.R).
Download SCP1.Lset.txt (2.609 Kb)
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Title SCP1.SLset
Downloaded 2 times
Description The 3D semi-landmark set built on the neanderthal cranium of Saccopastore 1 and used in the example shown in the supplementary information of the paper (used with the code in Sup2.R).
Download SCP1.SLset.txt (5.72 Kb)
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When using this data, please cite the original publication:

Profico A, Veneziano A, Lanteri A, Piras P, Sansalone G, Manzi G (2016) Tuning Geometric Morphometrics: an R tool to reduce information loss caused by surface smoothing. Methods in Ecology and Evolution 7(10): 1195–1200. http://dx.doi.org/10.1111/2041-210x.12576

Additionally, please cite the Dryad data package:

Profico A, Veneziano A, Lanteri A, Piras P, Sansalone G, Manzi G (2016) Data from: Tuning Geometric Morphometrics: an R tool to reduce information loss caused by surface smoothing. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.28631
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