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690 results for “Geometric morphometrics”

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Figure 1. The genus Ophiomorus currently comprises 12 in Shape variation in head scales of species of the genus Ophiomorus DUMÉRIL & BIBRON, 1839 in Iran, a geometric morphometrics approach

Figure 1. The genus Ophiomorus currently comprises 12 extant species and distribution from southeastern Europe (mainland of Greece) to western India (Camaiti et al., 2019).

opencc-by-4.0Dec 2021View details →
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Figure 6 in Shape variation in head scales of species of the genus Ophiomorus DUMÉRIL & BIBRON, 1839 in Iran, a geometric morphometrics approach

Figure 6. Above wireframe graph in PC2 and scatter plot resulting from the between-group principal components analysis on specimens of the genus Ophiomorus.

opencc-by-4.0Dec 2021View details →
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Figure 5 in Shape variation in head scales of species of the genus Ophiomorus DUMÉRIL & BIBRON, 1839 in Iran, a geometric morphometrics approach

Figure 5. Landmarks that were used on the intersection of dorsal head scales in Ophiomorus. For detailed definitions of each landmark see Appendix 2.

opencc-by-4.0Dec 2021View details →
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Fig. 1 in Differentiation of Trichuris species eggs from non-human primates by geometric morphometric analysis

Fig. 1. Trichuris sp. eggs collected from the samples. A. Macaque (Macaca sylvanus) B. Colobus (Colobus guereza kikuyensis). C. Grivet (Chlorocebus aethiops. D. Brazza's monkey (Cercopithecus neglectus). The bar represents 20 μm.

opencc-by-4.0Aug 2020View details →
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Fig. 2 in Differentiation of Trichuris species eggs from non-human primates by geometric morphometric analysis

Fig. 2. Trichuris sp. egg lineal measurements. L1: maximum width of polar opercula, L2: minimum width of polar opercula, L3: base width of polar opercula, L4: length of polar opercula, measured from exterior midpoint to the narrow midpoint, L5: total length of polar opercula, measured from the exterior midpoint to the base midpoint, L6: wall thickness at its midpoint, L7: wall thickness in contact with polar opercula, L8: interior length of the egg.

opencc-by-4.0Aug 2020View details →
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Fig. 5. Ordination plot for principal components 1 and 2 in Evaluating sexual dimorphism in the ambrosia beetle Xyleborus affinis (Coleoptera: Curculionidae) using geometric morphometrics

Fig. 5. Ordination plot for principal components 1 and 2 representing elytra shape variation between sexes of Xyleborus Affinis: deformation grids describing variation between sexes on the 2 first principal components are presented.

opencc-by-4.0Aug 2021View details →
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Fig. 4 in Evaluating sexual dimorphism in the ambrosia beetle Xyleborus affinis (Coleoptera: Curculionidae) using geometric morphometrics

Fig. 4. Boxplots for the body structure centroid size in Xyleborus affinis: (A) elytra centroid size; (B) pronotum centroid size. The line within each box represents the median, and the height of each box represents first and third quartiles (75% of all data). The lines correspond to the observed minimum and maximum values and dots are outliers

opencc-by-4.0Aug 2021View details →
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Fig. 2 in Evaluating sexual dimorphism in the ambrosia beetle Xyleborus affinis (Coleoptera: Curculionidae) using geometric morphometrics

Fig. 2. Allometric regression of shape on centroid size for each sex: (A) predicted elytra shapes (Predline) to each centroid size; (B) predicted pronotum shapes (Predline) to each centroid size.

opencc-by-4.0Aug 2021View details →
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Fig. 1 in Evaluating sexual dimorphism in the ambrosia beetle Xyleborus affinis (Coleoptera: Curculionidae) using geometric morphometrics

Fig. 1. Configuration of landmarks and semi-landmarks used to register 1 side of the 2 body structures (elytra and pronotum) of Xyleborus affinis: (A) configuration of 3 landmarks (1, 9, 10) and 7 semi-landmarks (2–8) describing elytra shape; (B) configuration of 3 landmarks (1, 2, 8) and 5 semi-landmarks (3–7) describing pronotum shape.

opencc-by-4.0Aug 2021View details →
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Fig. 3 in Evaluating sexual dimorphism in the ambrosia beetle Xyleborus affinis (Coleoptera: Curculionidae) using geometric morphometrics

Fig. 3. Linear regression of partial least squares vectors from the pronotum shape matrix and elytra shape matrix.

opencc-by-4.0Aug 2021View details →
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Fig. 6. Ordination plot for principal components 1 and 2 in Evaluating sexual dimorphism in the ambrosia beetle Xyleborus affinis (Coleoptera: Curculionidae) using geometric morphometrics

Fig. 6. Ordination plot for principal components 1 and 2 representing pronotum shape variation between sexes of Xyleborus Affinis: deformation grids describing variation between sexes on the 2 first principal components are presented.

opencc-by-4.0Aug 2021View details →
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Fig. 7 in A geometric morphometric study of sex differences in the scapula, humerus and ulna of Chaetophractus villosus (Xenarthra, Dasypodidae)

Fig. 7. Ulna. Distribution of males (black dots) and females (white dots) of Chaetophractus villosus (Desmarest, 1804) in the plane determined by the first two relative warps (RW1 and RW2). Numbers indicate specimens. Deformation grids below the graph show shape changes linked to negative (left) and positive (right) scores in RW1. Grids on the right show deformations linked to negative (below) and positive (above) scores in RW2.

opencc-by-4.0Dec 2017View details →
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Fig. 6 in A geometric morphometric study of sex differences in the scapula, humerus and ulna of Chaetophractus villosus (Xenarthra, Dasypodidae)

Fig. 6. Scatterplot for the ulna of Chaetophractus villosus (Desmarest, 1804), showing the distribution of the individuals in the plane formed by the two first principal components. The black outlines below the plot represent the shape variation associated to PC1, and those of the right show the changes associated to PC2 with respect to the consensus of the species (grey outlines).

opencc-by-4.0Dec 2017View details →
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Fig. 4 in A geometric morphometric study of sex differences in the scapula, humerus and ulna of Chaetophractus villosus (Xenarthra, Dasypodidae)

Fig. 4. Humerus. Distribution of males (black dots) and females (white dots) of Chaetophractus villosus (Desmarest, 1804) in the plane determined by the first two relative warps (RW1 and RW2). Numbers indicate specimens. Deformation grids below the graph show shape changes linked to negative (left) and positive (right) scores in RW1. Grids on the right show deformations linked to negative (below) and positive (above) scores in RW2.

opencc-by-4.0Dec 2017View details →
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Fig. 3 in A geometric morphometric study of sex differences in the scapula, humerus and ulna of Chaetophractus villosus (Xenarthra, Dasypodidae)

Fig. 3. Scatterplot for the humerus of Chaetophractus villosus (Desmarest, 1804), showing the distribution of the individuals in the plane formed by the two first principal components. The black outlines below the plot represent the shape variation associated to PC1, and those of the right show the changes associated to PC2 with respect to the consensus of the species (grey outlines).

opencc-by-4.0Dec 2017View details →
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Fig. 2 in A geometric morphometric study of sex differences in the scapula, humerus and ulna of Chaetophractus villosus (Xenarthra, Dasypodidae)

Fig. 2. Canonical analysis for the humerus of males and females of Chaetophractus villosus (Desmarest, 1804). The bone outlines below the graph represent the tendencies to deformation in males and females (black dots and lines) with respect to the consensus of the species (grey dots and lines) along the axis.

opencc-by-4.0Dec 2017View details →
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Fig. 1 in A geometric morphometric study of sex differences in the scapula, humerus and ulna of Chaetophractus villosus (Xenarthra, Dasypodidae)

Fig. 1. Landmarks digitised on the left appendicular bones of Chaetophractus villosus (Desmarest, 1804). Scapula in dorsal view; humerus in caudal view; ulna in lateral view.

opencc-by-4.0Dec 2017View details →
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Fig. 5 in A geometric morphometric study of sex differences in the scapula, humerus and ulna of Chaetophractus villosus (Xenarthra, Dasypodidae)

Fig. 5. Canonical analysis for the ulna of males and females of Chaetophractus villosus (Desmarest, 1804). The bone outlines below the graph represent extreme individuals (black dots and lines) with respect to the consensus of the species (grey dots and lines) along the axis.

opencc-by-4.0Dec 2017View details →
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Fig. 16. Conodont P1 in Geometric morphometric analysis and taxonomic revision of the Gzhelian (Late Pennsylvanian) conodont Idiognathodus simulator from North America

Fig. 16. Conodont P1 elements of Idiognathodus luganicus (Kozitskaya, 1978) from the Heebner Shale (Gzhelian, Late Pennsylvanian). A. SUI 141094 TT0200); Sedan 11. B. SUI 141095 (TT0209); Clinton 12. C. SUI 141098 (TT0285); Clinton 12. D. SUI 141096 (TT0284); Clinton 12. E. SUI 141097 TT0141); Clinton 28. F. SUI 141099 (TT0018); Clinton 15. G. SUI 141100 (TT0026); I229-83. H. SUI14101 (TT0016); Clinton 14. I. SUI 14102 TT0119); Sedan 20. J. SUI 141103 (TT0118); Sedan 20. K. SUI 141104 (TT0102); Sedan 12.

opencc-by-4.0Feb 2016View details →
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Fig. 15. Conodont P1 in Geometric morphometric analysis and taxonomic revision of the Gzhelian (Late Pennsylvanian) conodont Idiognathodus simulator from North America

Fig. 15. Conodont P1 elements of Idiognathodus lateralis sp. nov. (A–M) and Idiognathodus praenuntius (Chernykh, 2005) (N–T) from the Heebner Shale, Gzhelian (Late Pennsylvanian). A. SUI 141062 (TT0228); Sedan 11. B. SUI 141063 (TT0233); Sedan 11. C. SUI 141064 (TT0050); Clinton 20. D., SUI 141065 (TT0019); Clinton 22. E. SUI 141066 (TT0168); Sedan 23. F. SUI 141067 (TT0261); Sedan 11. G. SUI 141068 (TT0260); Sedan 11. →

opencc-by-4.0Feb 2016View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

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Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

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DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

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neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record