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1,292 results for “morphological diversity”
Supplementary data: Agro-morphological and molecular characterization reveal deep insights in promising genetic diversity and marker-trait associations in Fagopyrum esculentum and F. tataricum
<p>Our study focuses on the global/European buckwheat germplasm collected as part of the ECOBREDD project. The potential of this highly diverse collection for organic buckwheat breeding was evaluated at two complementary levels: phenotypic and genetic. Here, we characterized the phenotypic and genetic diversity of a global collection of the two cultivated buckwheat species <em>Fagopyrum esculentum</em> and <em>F. tataricum</em> (190 and 51 accessions, respectively) using 37 agro-morphological traits and 24 SSR markers (Simple Sequence Repeats) (see publication and info sheet of the data).</p>
nNPipe: A neural network pipeline for automated analysis of morphologically diverse catalyst systems - Resources
<p>This dataset comprises of resources required to replicate the results described in "<em>nNPipe</em>: A neural network pipeline for automated analysis of morphologically diverse catalyst systems". <em>nNPipe </em>is a deep learning based method in which two deep convolutional neural networks are used for the automated analysis of 2048x2048 HRTEM images.</p> <p>The file contains:<br> - Relevant experimental images as well as ground truth for Pd/C and Au/Ge systems.<br> - A workflow file explaining the nNPipe workflow.<br> - Mathematica 12.1 code for the generation of computational models.<br> - MATLAB code for HRTEM multislice simulations using MULTEM, as well as code required to form respective training datasets.<br> - Weights and files required for training the YOLOv5x module.<br> - Weights and files required for training the SegNet module.<br> - Mathematica 12.1 code required for reconstruction of 2048x2048 binary segmented maps of HRTEM images. </p>
Figs. 5–8. Vespa morphology. Fig. 5 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 5–8. Vespa morphology. Fig. 5. Lateral view of metasomal tergum 2. Fig. 6. (a, b) Lateral view of pretegular pronotal carina. (c, d) Front view of clypeus. Fig. 7. (a, b) Front view of clypeus. (c, d). Dorsal view of vertex. Fig. 8. (a, c) Lateral view of metasoma. (b, d, e) Dorsal view of metasoma. Fig. 5a, V. fervida. Fig. 5b, V. luctuosa. Figs. 6a, 6c, 7a, 8a, 8c, V. philippinensis. Figs. 6b, 6d, V. velutina. Figs. 7b, 7e, 7f V. tropica. Figs. 7c, 7d, 8d, V. ducalis. Fig. 8b, V. bicolor.
Figs. 1–4. Vespa morphology. Fig. 1 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 1–4. Vespa morphology. Fig. 1 (a) Hindwing. (b) Forewing apex. (c) Lateral view of pronotal lobe. (e) Hindtarsal claws. (f)Thoracic dorsum. (g) Lateral view of metasomal segment 1. Fig. 2. (a) Lateral view of pronotal lobe. (b) Dorsal view of vertex, i =distance from hind ocellus to posterior head margin, ii=distance between lateral ocellus and eye. (c) Lateral view of metasomal segment 1. (d) Costal margin of forewing apex. (e) Dorsal view of vertex. (c) Front view of clypeus and mandibles. Fig. 3. (a, b) Lateral view of head. (c, d) Lateral view of metasoma. (3a, 3c) V. soror. Fig. 4. (a, b) Lateral view of metasomal tergum 2. (c, d) Lateral view of pronotal carina. (e, f) Front view of clypeus. Figs. 1a-g, 2a, 2b, 3b, 3d, V. crabro. Fig. 2c, V. binghami. Figs. 2d, 2e, V. analis. Fig. 2f, V. bicolor. Figs. 4a, 4e, V. fervida. Fig. 4b, V. multimaculata. Figs. 4c, 4f, V. luctuosa. Fig. 4d, V. affinis.
FIG. 18 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 18. — Ventral view of the skull of Molossus pretiosus Miller, 1902. Note the crest between the occipital and the basisphenoid pits. Scale bar: 1 mm.
FIG. 13 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 13. — Molossus molossus (Pallas, 1766) skull: A, dorsal view; B, frontal view; C, ventral view; D, posterior view; E, lateral view. Scale bar: 1 mm.
FIG. 14 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 14. — Molossus molossus (Pallas, 1766). Photo courtesy of Dr Marco A. R. Mello (https://marcoarmello.wordpress.com).
FIG. 12 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 12. — Geographic range of Molossus rufus (E. Geoffroy, 1805) in Brasil. The numbers represent the localities described in Appendix 1.
FIG. 10 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 10. — Molossus rufus (E. Geoffroy, 1805). Photo courtesy of Dr Marco A. R. Mello (https://marcoarmello.wordpress.com).
FIG. 11 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 11. — Skull of Molossus rufus E. Geoffroy, 1805: A, dorsal view; B, posterior view; C, lateral view; D, frontal view. Scale bar: 1 mm.
FIG. 2 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 2. — Variable characters in skull morphology within Molossus E. Geoffroy, 1805 (Pallas, 1766): A, B, lateral views; C, D, ventral views; E, F, posterior view; H, G, frontal view. Numbers represents characters described in the text: 1, skull robustness; 2, sagittal crest; 3, basioccipital pits; 4, projection of the canines; 5, lambdoidal crest and occipital complex; 6, mastoid process; 7, rostrum shape; 8, infraorbital foramen; 9, upper incisors; 10, nasal process. Not to scale.
FIG. 8 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 8. — Ventral view of skull of Molossus coibensis Allen, 1904. The arrow shows the absence of the basioccipital pits.
FIG. 6 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 6. — Molossus aztecus Saussure, 1860 skull: A, ventral view; B, posterior view; C, lateral view; D, frontal view. Scale bar: 1 mm.
FIG. 5. — Strict consensus tree from eight most parsimonious trees recovered for Molossus E. Geoffroy, 1805 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 5. — Strict consensus tree from eight most parsimonious trees recovered for Molossus E. Geoffroy, 1805. Numbers above the branches indicate Bootstrap values and bottom numbers indicate Bremer support values.
FIG. 3 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 3. — Principal Components Analysis plot of PC1 and PC2 based on 13 cranial and external variables of Molossus E. Geoffroy, 1805: A, females, B, males. Symbols: ■, M. pretiosus Miller, 1902; ■, M. rufus (E. Geoffroy, 1805); ▲, M. currentium Thomas, 1901; +, M. molossus (Pallas, 1766); X, M. coibensis Allen, 1904; ▲, M. aztecus Saussure, 1860;, M. sinaloae Allen, 1906; *, and Molossus sp.
FIG. 1 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 1. — Definition of skull measurements used in this study of Molossus E. Geoffroy, 1805. Abbreviations: see Material & Methods. Reprinted from Loureiro
FIG. 7 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 7. — Geographic range of Molossus aztecus Saussure, 1860 in Brazil (Gregorin et al. 2011). -, represents new records for the country, the numbers represent the localities described in Appendix 1.
FIG. 4 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 4. — Principal component analysis of the first two main components (PC1 and PC2) based on 13 cranial and external variables of Molossus molossus: A, males,B, females.Symbols:■, Rio de Janeiro; ▲, Ceará; ▼, Pará; +, Rio Grande do Sul; ▲, Piauí; ●, Mato Grosso do Sul; O, Minas Gerais; *, Bahia; ◆, Amazonas; ●, Paraíba;, São Paulo; ❚, Mato Grosso; x, Paraiba, ▼, Acre; ●, Piaui.
FIG. 19 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 19. — Geographic range of Molossus pretiosus Miller, 1902 in Brasil. The numbers represent the localities described in Appendix 1.
FIG. 17 in Diversity, morphological phylogeny, and distribution of bats of the genus Molossus E. Geoffroy, 1805 (Chiroptera, Molossidae) in Brazil
FIG. 17. — Geographic range of Molossus currentium Thomas, 1901 in Brasil: -, represents new records for the country. The numbers represent the locality described in Appendix 1.
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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.
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.