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690 results for “geometric morphometrics”
The Identification of Extinct Megafauna in Rock art Using Geometric Morphometrics: A Genyornis newtoni Painting in Arnhem Land, Northern Australia?
<p>Raw data files used for the analysis of a contentiously identified rock-art image located in Arnhem Land, Northern Australia. The data were used to test a novel approach to quantifying species identification in rock art images to assess the extent to which an image resembles other rock art of sound identification or anatomical images of visually similar species.</p> <p>Included files are the raw coordinate data files ("[feature] PCA file", .txt format) for use in Morphologika2, and formatted files for use in CVAGen8 ("[feature]" x1y1 file for CVA", .x1y1 format; "[feature] group file", .txt format).</p> <p>Files produced using software by Rohlf (2015) and Sheets (2014)</p>
water vole m1 geometric morphometrics
<p>Code and data for the geometric morphometric analysis of water vole (<em>A amphibius</em>) lower first molars. The files include:</p> <p>1) the complete information on the specimens included in the geometric morphometric analysis (“./redig_specinfo_20230222.csv”)</p> <p>2) the landmarks file (“./lmrks_20230222.TPS”)</p> <p>3) R code (“./gmm_pipeline_vole_20230727.R”)</p> <p>For any questions, please contact nimrod.arch@gmail.com</p>
Replication R code and data for "Geometric morphometric investigation of craniofacial morphological change in domesticated silver foxes"
<p>This repository holds various files and R code used in the publication of the manuscript entitled "Geometric morphometric investigation of craniofacial morphological change in domesticated silver foxes".</p> <p>Data files include: The 3D landmark coordinates of each individual specimen (Fox_data_Morphologika.txt), the linear measurement data associated with those foxes (fox_linear_volume_data.csv), and replication data measurements. </p> <p>The following files include the R code used to perform the analyses contained within the paper:</p> <p>1_Procrustes_analysis - details the Geometric morphometrics analyses performed</p> <p>2_linear_models - details the model specification for the GLS models employed in the paper</p> <p>3_graph_code - contains R script for the creation of the graphs displayed in the paper</p> <p>4_repeatability_script - contains R code that details the statistical calculations made with the repeatability measurements indicated above. </p> <p> </p> <p> </p> <p> </p>
FIGURE 3 in Sexual dimorphism in a freshwater atyid shrimp (Decapoda: Caridea) with direct development: a geometric morphometrics approach
FIGURE 3. Relative deformations grids illustrating the variation in the mean shape of the carapace for (a) females and (b) males.
FIGURE 2 in Sexual dimorphism in a freshwater atyid shrimp (Decapoda: Caridea) with direct development: a geometric morphometrics approach
FIGURE 2. Scatter plot of first versus second principal component axes for the total variation of the carapace shape for females, juvenile females and males of Neocaridina davidi.
Figure 6. from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Figure 6. - Strobe models of five positions along the canonical variates indicated in Fig. 5. CV-1, CV-2, and CV-3 axes account for 79.5% of the observed between-species shape variation. Landmarks and semi-landmarks are superimposed in the figure to the right of each sequence to express the magnitudes and directions (arrows) of shape trends. In all models, the mesial margin of the coxa is depicted to the left, the lateral margin to the right.
Supplementary material 1: Appendix from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Voucher data for specimens use din morphometric analyses and supplementary figures of Canonical Variates scatterplots
Figure 5. from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Figure 5. - Results of the CVA of coxal shape data for all eight species, showing the subspaces formed by the first three discriminant axes, which together account for more than 79% of observed between-group shape variation. Within each subspace plot the black circles represent the coordinate locations for each of the five along-axis shape models depicted in Fig. 6.
Figure 4. from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Figure 4. - Scatterplots of Procrustes PCA scores for coxal shape data. The first two shape variation axes (top) together account for 62.63% of the observed shape variation; PC-2 and PC-3 axes (bottom) together account for 27.58% of the observed shape variation.
Figure 3. from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Figure 3. - Thereuopoda longicornis scatterplot of coxal shape data along the discriminant subspace formed by the first two CV axes, which together account for 74.17% of observed between-group shape variation.
Figure 2. from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Figure 2. - Landmarks (L1-L10) used in morphometric analysis. Diagonal line to L1 is the longest line from anterolateral to posteromedial corners of the coxa. Spine-bristles numbered 1-4 (blue) from interior to exterior. Throughout text, left and right coxae refer to dorsal orientation (inverted 180° relative to this ventral view).
Figure 1. from Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda) - ZooKeys 156: 49-66 (20 December 2011) https://doi.org/10.3897/zookeys.156.1997
Figure 1. - Ventral view of head and forcipules of Thereuopoda longicornis placed in a standard horizontal position. BM 1952.9.8.574-575, Kuching, Sarawak, Malaysia.
Figure 2. Box-plot head centroid size. A. Rhodnius prolixus instars. B in Head geometric morphometrics of two Chagas disease vectors from Venezuela
Figure 2. Box-plot head centroid size. A. Rhodnius prolixus instars. B. Triatoma maculata instars. Abbreviation: I—First instar; II— Second instar; III—Third instar; IV—Fourth instar; V—Fifth instar; F—Adult female; M—Adult male.
Figure 4. Canonical Variates Analysis head conformation diagram for 136 in Head geometric morphometrics of two Chagas disease vectors from Venezuela
Figure 4. Canonical Variates Analysis head conformation diagram for 136 Triatoma maculata specimens and thin-plate deformation grids. A. V instar–Adults. B. I instar–Adults. C. II instar–III instar.
Figure 3. Canonical Variates Analysis head conformation diagram for 140 in Head geometric morphometrics of two Chagas disease vectors from Venezuela
Figure 3. Canonical Variates Analysis head conformation diagram for 140 Rhodnius prolixus specimens and thin-plate deformation grids. A. V instar–Adults. B. I instar–Adults. C. II instar–III instar.
Fig. 1. Merodon aureus Fabricius, 1805 in An assessment of new character in hoverfly species delimitation using linear and geometric morphometrics - genus Merodon Meigen, 1803 (Diptera: Syrphidae) as a case study
Fig. 1. Merodon aureus Fabricius, 1805, ♂, right wing with the character used in linear morphometric: a = intersection of R4+5 with r-m vein; b = intersection of R4+5 vein with a line drawn in the middle between a and c; c = the intersection of R4+5 with M1 vein; D = the angle formed by the lines that connect a, b and c.
Fig. 4 in An assessment of new character in hoverfly species delimitation using linear and geometric morphometrics - genus Merodon Meigen, 1803 (Diptera: Syrphidae) as a case study
Fig. 4. Results of the geometric morphometric wing shape analysis of species of the Merodon aureus complex. A. Scatter plot of individual scores showing R4+5 vein shape variability. B. Scatter plot of individual scores showing wing shape variability from Vujić et al. (2020c). C. Scatter plot of individual scores showing semilandmark R4+5 vein shape and landmark wing shape variability D. Superimposed outline drawings showing R4+5 vein shape differences among investigated species.
Fig. 5 in An assessment of new character in hoverfly species delimitation using linear and geometric morphometrics - genus Merodon Meigen, 1803 (Diptera: Syrphidae) as a case study
Fig. 5. Results of the geometric morphometric wing shape analysis of males of the Merodon natans group. A. Scatter plot of individual scores showing the R4+5 vein shape variability. B. Scatter plot of individual scores showing the wing shape variability from Vujić et al. (2021c). C. Scatter plot of individual scores showing the semilandmark R4+5 vein shape and landmark wing shape variability D. Superimposed outline drawings showing R4+5 vein shape differences among males of the investigated species.
Fig. 3. Box plot showing a in An assessment of new character in hoverfly species delimitation using linear and geometric morphometrics - genus Merodon Meigen, 1803 (Diptera: Syrphidae) as a case study
Fig. 3. Box plot showing a comparison of the angle at the intersection of the R4+5 vein and the middle
Fig. 2. Merodon aureus Fabricius, 1805 in An assessment of new character in hoverfly species delimitation using linear and geometric morphometrics - genus Merodon Meigen, 1803 (Diptera: Syrphidae) as a case study
Fig. 2. Merodon aureus Fabricius, 1805, ♂, right wing with the location of 20 semilandmarks selected for geometric morphometric analysis.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.
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.
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.