Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
690
datasets available to search
ShareScore release 0.9.0
Dataset results
690 results for “Geometric morphometric”
Figure 5 from: Edgecombe G, Lopez Gutierrez B, MacLeod N (2011) Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda). ZooKeys 156: 49-66. 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: Edgecombe G, Lopez Gutierrez B, MacLeod N (2011) Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda). ZooKeys 156: 49-66. 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: Edgecombe G, Lopez Gutierrez B, MacLeod N (2011) Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda). ZooKeys 156: 49-66. 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: Edgecombe G, Lopez Gutierrez B, MacLeod N (2011) Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda). ZooKeys 156: 49-66. 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: Edgecombe G, Lopez Gutierrez B, MacLeod N (2011) Detecting taxonomic signal in an under-utilised character system: geometric morphometrics of the forcipular coxae of Scutigeromorpha (Chilopoda). ZooKeys 156: 49-66. 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 from: Michez D, Dewulf A, De Meulemeester T, Dehon M, Engel M (2014) A new interpretation of the bee fossil Melitta willardi Cockerell (Hymenoptera, Melittidae) based on geometric morphometrics of the wing. ZooKeys 389: 35-48. https://doi.org/10.3897/zookeys.389.7076
Figure 2 - Right forewing of a female of Melitta leporina (Panzer) with the 18 landmarks indicated to describe the shape.
Figure 1 from: Michez D, Dewulf A, De Meulemeester T, Dehon M, Engel M (2014) A new interpretation of the bee fossil Melitta willardi Cockerell (Hymenoptera, Melittidae) based on geometric morphometrics of the wing. ZooKeys 389: 35-48. https://doi.org/10.3897/zookeys.389.7076
Figure 1 - Photograph of holotype female of Melitta willardi Cockerell as preserved (UCM 18737). Specimen is preserved facing toward the viewer, with head missing (note the large opening representing the anterior thoracic fossa).
Figure 3 from: Michez D, Dewulf A, De Meulemeester T, Dehon M, Engel M (2014) A new interpretation of the bee fossil Melitta willardi Cockerell (Hymenoptera, Melittidae) based on geometric morphometrics of the wing. ZooKeys 389: 35-48. https://doi.org/10.3897/zookeys.389.7076
Figure 3 - Distribution of extant examined andrenid (36 specimens) and the eight landmark configurations of Andrenopteryx willardi (*), along the first two PC axis (PC1 = 72%, PC2 = 11%).
Figures 32-33 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figures 32-33 - 32 Distribution of Ablattaria spp. in Western Palaearctic region 33 Delimitation and distribution of samples of Ablattaria laevigata used in geometric morphometrics.
Figures 28-31 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figures 28-31 - Lectotype and paralectotype of Silpha laevigata Fabricius: 28, 29 lectotype (female) 30, 31 paralectotype (female, Silpha tyrolensis; see text) 28, 30 dorsal view 29, 31 lateral view. (Photo K.P. Puliafico).
Figures 16-19 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figures 16-19 - Left elytron in dorsal view: 16 Ablattaria arenaria (female, Iraq: Khanaqin) 17 Ablattaria cribrata (male, Russia: Dagestan) 18 Ablattaria laevigata (female, Austria: Bisamberg) 19 Ablattaria subtriangula (male, Spain: Soto).
Figures 23-27 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figures 23-27 - 23–26 Lectotypes of Ablattaria spp. in dorsal view: 23 Phosphuga arenaria Kraatz 24 Ablattaria arenaria var. punctigera Reitter 25 Silpha cribrata Ménétries 26 Ablattaria gibba var. punctata Portevin 27 Ablattaria subtriangula Reitter, paralectotype.
Figures 20-22 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figures 20-22 - Morphological details in dorsal view: 20 Ablattaria subtriangula, elongated head (female, Spain: Cameros) 21 Ablattaria laevigata, variable left elytron with traces of two lines (male, Greece: Alistrati) 22 Ablattaria laevigata, right antenna (female, Hungary: Budapest).
Figures 9-11 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figures 9-11 - Habitus of Ablattaria laevigata in dorsal view: 9 male (Hungary: Budapest) 10 female (Greece: Loutraki) 11 female (Italy: Pioppi).
Figures 12-15 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figures 12-15 - Pronotum in dorsal view: 12 Ablattaria arenaria (female, Iraq: Khanaqin) 13 Ablattaria cribrata (male, Russia: Dagestan) 14 Ablattaria subtriangula (male, Spain: Soto) 15 Ablattaria laevigata (female, Austria: Bisamberg).
Figure 36 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figure 36 - Boxplots of male (above) and female (below) body length in selected populations of Ablattaria laevigata; Gr. & Tr. (Greece & Turkey), It. (Italy), CE (Central Europe).
Figures 5-8 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figures 5-8 - Habitus of Ablattaria laevigata in dorsal view: 5 female (Croatia: Pula) 6 male (Austria: Elenderwald) 7 female (Greece: Loutraki) 8 female (Italy: Pioppi).
Figure 35 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figure 35 - Canonical variate analysis (CVA) of male (above) and female (below) body shape changes in selected populations of Ablattaria laevigata; Gr. & Tr. (Greece & Turkey), It. (Italy), CE (Central Europe).
Figure 34 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figure 34 - Canonical variate analysis (CVA) of male (above) and female (below) body shape changes in Ablattaria.
Figures 1-4 from: Qubaiová J, Růžička J, Šípková H (2015) Taxonomic revision of genus Ablattaria Reitter (Coleoptera, Silphidae) using geometric morphometrics. ZooKeys 477: 79-142. https://doi.org/10.3897/zookeys.477.8446
Figures 1-4 - Habitus in dorsal view: 1 Ablattaria arenaria (male, Israel: Mount Carmel) 2 Ablattaria cribrata (female, Azerbaijan: Zagulba Baglari) 3 Ablattaria subtriangula (female, Spain: Cameros) 4 Ablattaria laevigata (male, Hungary: Budapest).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.