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204 results for “shape model”
Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".
<p>The code, scripts, and data used in the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".</p> <ul> <li>All Figures&Table and their corresponding NCL scripts are under the directory of Figs&Table. </li> <li>The modified model code, corresponding original model code, and model run scripts are under the directory of Mods_Scripts.</li> <li>The postprocessing NCL scripts, which select useful variables from simulation results, are under the directory of PostProcessing.</li> <li>The zonal mean data from model results used for making figures and corresponding data processing scripts are under the directory of Model_Results.</li> <li>The FORTRAN code used for offline tests is under the directory of Offline_Code.</li> <li>The code, data, and NCL scripts used for the figures and table in the Appendix are under the directory of Appendix.</li> </ul>
GAN, PCA, and Statistical Shape Models for the Creation of Synthetic Craniosynostosis Distance Maps
<p>This dataset is part of the publication "Classification of Craniosynostosis Trained Only On Synthetic Data Using GANs, PCA, and Statistical Shape Models".</p> <p><strong>dataset28.zip</strong> includes 2D distance maps constructed of surface scans of craniosynostosis patients: sagittal suture fusion (scaphocephaly), metopic suture fusion (trigonocephaly), coronal suture fusion (brachycephaly and anterior plagiocephaly), and a control model (normocephaly and positional plagiocephaly).<br> <br> <strong>synthetic_1000.zip</strong> contains are random 1000 samples per class created from each individual synthetic data source (GAN, PCA, statistical shape model).<br> <br> This repository contains only the images. To synthesize your own data, please use the github repository.</p>
Data from: A method for assessing phylogenetic least squares models for shape and other high-dimensional multivariate data
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Data from: High quality statistical shape modelling of the human nasal cavity and applications
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Data from: Can collective memories shape fish distributions? A test, linking space-time occurrence models and population demographics
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Data from: Predator-prey interactions shape thermal patch use in a newt larvae-dragonfly nymph model
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Stan code from: Simulation modeling reveals the evolutionary role of landscape shape and species dispersal on genetic variation within a metapopulation
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Data from: Does gene tree discordance explain the mismatch between macroevolutionary models and empirical patterns of tree shape and branching times?
Classic null models for speciation and extinction give rise to phylogenies that differ in distribution from empirical phylogenies. In particular, empirical phylogenies are less balanced and have branching times closer to the root compared to phylogenies predicted by common null models. This difference might be due to null models of the speciation and extinction process being too simplistic, or due to the empirical datasets not being representative of random phylogenies. A third possibility arises because phylogenetic reconstruction methods often infer gene trees rather than species trees, producing an incongruity between models that predict species tree patterns and empirical analyses that consider gene trees. We investigate the extent to which the difference between gene trees and species trees under a combined birth–death and multispecies coalescent model can explain the difference in empirical trees and birth–death species trees. We simulate gene trees embedded in simulated species trees and investigate their difference with respect to tree balance and branching times. We observe that the gene trees are less balanced and typically have branching times closer to the root than the species trees. Empirical trees from TreeBase are also less balanced than our simulated species trees, and model gene trees can explain an imbalance increase of up to 8% compared to species trees. However, we see a much larger imbalance increase in empirical trees, about 100%, meaning that additional features must also be causing imbalance in empirical trees. This simulation study highlights the necessity of revisiting the assumptions made in phylogenetic analyses, as these assumptions, such as equating the gene tree with the species tree, might lead to a biased conclusion.
Data from: Data-driven mathematical model of East-Asian facial attractiveness: the relative contributions of shape and reflectance to attractiveness judgements
Facial attractiveness is judged through a combination of multiple cues including morphology (facial shape) and skin properties (facial reflectance). While several studies have examined the way in which people in Western cultures judge facial attractiveness, there have been fewer investigations into non-Western attitudes. This is because stimuli that quantitatively vary the attractiveness of non-Western faces are rare. In the present study, we built a model of the attractiveness of East-Asian faces, judged by East-Asian observers. Therefore, 400 computer-generated East-Asian faces were created and attractiveness rating scores were collected from Japanese observers. Data-driven mathematical calculations were used to identify quantitative links between facial attractiveness and shape and reflectance properties, with no prior hypothesis. Results indicate that faces with larger eyes, smaller noses, and brighter skin are judged as more attractive, regardless of the sex of the faces, possibly reflecting a general preference for femininity. Shape is shown to be a strong determinant of attractiveness for both male and female faces, while reflectance properties are less important in judging male facial attractiveness. Our model provides a tool to effectively produce East-Asian face stimuli that quantitatively varies attractiveness and can be used to elucidate visual processes related to attractiveness judgment.
Post-resolution macrophages shape long-term tissue immunity and integrity in a mouse model of Streptococcus pneumonia.
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Functional and ecomorphological evolution of orbit shape in Mesozoic archosaurs is driven by body size and diet: Geometric morphometric data, 3D models (stl files), FEA models (Hypermesh, Abaqus files)
<p class="MsoNormal">The orbit is one of several skull openings in the archosauromorph skull. Intuitively, it could be assumed that orbit shape would closely approximate the shape and size of the eyeball resulting in a predominantly circular morphology. However, a quantification of orbit shape across Archosauromorpha using a geometric morphometric approach demonstrates a large morphological diversity despite the fact that the majority of species retained a circular orbit. This morphological diversity is nearly exclusively driven by large (skull length > 1000 mm) and carnivorous species in all studied archosauromorph groups, but particularly prominently in theropod dinosaurs. While circular orbit shapes are retained in most herbivores and smaller species, as well as in juveniles and early ontogenetic stages, large carnivores adopted elliptical and keyhole-shaped orbits. Biomechanical modeling using finite element analysis reveals that these morphologies are beneficial in mitigating and dissipating feeding-induced stresses without additional reinforcement of the bony structure of the skull.</p>
Transmission line model of the lossless T-shaped power di- vider.
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Dataset to develop the Generalized Linear Models in "THE CRITICAL ROLE OF HYDROLOGICAL DISTANCE IN SHAPING NUTRIENT DYNAMICS ALONG THE WATERSHED-LAKE CONTINUUM"
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Data from: A skull might lie: modelling ancestral ranges and diet from genes and shape of tree squirrels
Tropical forests of Central and South America represent hotspots of biological diversity. Tree squirrels of the tribe Sciurini are an excellent model system for the study of tropical biodiversity as these squirrels disperse exceptional distances, and after colonizing the tropics of the Central and South America, they have diversified rapidly. Here, we compare signals from DNA sequences with morphological signals using pictures of skulls and computational simulations. Phylogenetic analyses reveal step-wise geographic divergence across the Northern Hemisphere. In Central and South America, tree squirrels form two separate clades, which split from a common ancestor. Simulations of ancestral distributions show western Amazonia as the epicenter of speciation in South America. This finding suggests that wet tropical forests on the foothills of Andes possibly served as refugia of squirrel diversification during Pleistocene climatic oscillations. Comparison of phylogeny and morphology reveals one major discrepancy: Microsciurus species are a single clade morphologically but are polyphyletic genetically. Modeling of morphology–diet relationships shows that the only group of species with a direct link between skull shape and diet are the bark-gleaning insectivorous species of Microsciurus. This finding suggests that the current designation of Microsciurus as a genus is based on convergent ecologically driven changes in morphology.
Population average skull model obtained by means of statistical shape modelling
<p>Sagittal Craniosynostosis (SC) is a congenital condition whereby the newborn skull develops abnormally due to premature ossification of the sagittal suture. Spring-assisted cranioplasty (SAC) is a minimally invasive surgical technique to treat SC where metallic distractors are used to reshape the newborn's head. Although safe and effective, SAC outcomes remain uncertain due to the limited understanding of skull-distractor interaction and limited information provided by the analysis of single surgical cases.</p> <p>Hereby, an SC population average skull model was created to simulate spring insertion by means of finite element analysis.</p>
Fig. 7 in Capybaras, size, shape, and time: A model kit
Fig. 7. Scatter plot of scores and Factor loadings of PC1 and PC2 of m1–m2 dental measurements. AP, antero−posterior length; AWA, anterior lamina of lower molar prisms width; AWB, posterior lamina of lower molar prisms width; HFEL, fundamental external flexid length; HSIL, secondary internal flexid length; HTIL, tertiary internal flexid length; MW, middle width; PW, posterior width. Asterisk: loadings>0.7.
Fig. 5 in Capybaras, size, shape, and time: A model kit
Fig. 5. Cardiatherium patagonicum sp. nov. occlusal surfaces of the lower cheek teeth: right m1–m2 (A, J–O), right p4 (B, C), left p4 (D–I), right m3 (P), left m3 (Q). A. MPEF 740/1 (holotype, m1–m2). B. MPEF 740/27 (inverted). C. MPEF 740/10 (inverted). D. MPEF 740/26. E. MPEF 740/9. F. MPEF 740/11. G. MPEF 740/12. H. MPEF 740/34. I. MJG 22−IV−1976. J. MPEF 740/25. K. MPEF 740/4. L. MPEF 740/3. M. MPEF 740/5. N. MPEF 740/24. O. MPEF 740/2. P. MPEF 740/20. Q. MPEF 740/7 (inverted). I, modified from Pascual and Bondesio (1985).
Fig. 4 in Capybaras, size, shape, and time: A model kit
Fig. 4. Cardiatherium patagonicum sp. nov. Puerto Madryn Formation, Punta Delgada, Chubut. Holotype, right mandible with m1–m2, MPEF−PV 740/1. Stereopair in occlusal view (A); schematic drawing in occlusal view (B) showing m1–m2; schematic drawing in labial view (C) showing the roots of m1–m2; photograph in lingual view (D).
Fig. 2 in Capybaras, size, shape, and time: A model kit
Fig. 2. Cardiatherium patagonicum sp. nov. Nomenclature of dental features (occlusal surfaces) in: p4 (A); P4 (B); m1–m2 (C).
Fig. 6 in Capybaras, size, shape, and time: A model kit
Fig. 6. Cardiatherium patagonicum sp. nov. occlusal surfaces of the upper cheek teeth: right P4 (A), left P4 (B), left M1–M2 (C, D, F), right M1–M2 (E), right M3 (G). A. MPEF 740/14. B. MPEF 740/22 (inverted). C. MPEF 740/16 (inverted). D. MPEF 740/15 (inverted). E. MPEF 740/13. F. MPEF 740/23 (inverted). G. MPEF 740/18.
ScienceDex guides
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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.