Sentence examples for landmark data were from inspiring English sources
Landmark data were collected with an Immersion Microsribe G2X digitizer, which has a reported accuracy of 0.23mm and a measured error of 0.03 mm.
Three configurations of landmark data were analyzed.
These landmark data were collected using a MicroScribe G2 digitizer (Immersion Corp., San Jose).
Three-dimensional landmark data were digitized from subadult basicrania from seven populations.
Three-dimensional landmark data were analyzed using the software MorphoJ [ 73].
Landmark data were collected from digital photographs (Fig. S1) using the imaging software CLIC/coo (Dujardin et al. 2010).
To remove these effects a Procrustes sumperimposition of the landmark data was performed using the program CoordGen.
Analysis of landmark data was carried out with IMP software (Sheets, 2003).
The exponential equation used to fit the landmark data was used to calculate radii of the fit at the original angles of the landmarks.
Landmark data are then aligned using a generalized least-squares Procrustes superimposition algorithm to remove size, and place all individuals into a common shape space (Mitteroecker and Gunz, 2009).
The extant 'maximum taxa' landmark data was further separated into eight ecological groups based on dominant diet type, time of activity and habitat, using information sourced from the Animal Diversity Web [ 62]: folivore, frugivore, carnivore/insectivore, omnivore, nocturnal/crepuscular, arboreal, fossorial, and terrestrial (see Additional file 5: Table S5).
