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172 results for “shape analysis”
Fig. 1 in Repeatability Analysis Of Egg Shape In A Wild Tree Sparrow (Passer Montanus) Population: A Sensitive Method For Egg Shape Description
Fig. 1. Differently shaped eggs characterised with the same egg shape index (ES = 0.7)
Fig. 7. Reconstructed denticles shapes using a in Geometric morphometric on a new species of Trichodinidae. A tool to discriminate trichodinid species combined with traditional morphology and molecular analysis
Fig. 7. Reconstructed denticles shapes using a range of 20 harmonic.
[Supp. mat.] Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: initial application to the GENFI cohort
<p>Supplementary tables and figure of paper Spatio-temporal analysis for detection of pre-symptomatic shape changes in neuro-degenerative diseases: initial application to the GENFI cohort, for testing different number of clusters of the spatio-temporal regression. The supplementary materials shows results for 2 4 6 8 12 14 and 16 clusters. The 10 clusters analysis is in the paper.</p>
Synthetic meshes of hippocampi, for statistical shape analysis validation
<p>Those synthetic data have been generated for the validation of the iterative centroid method published in "Statistical shape analysis of large datasets based on diffeomorphic iterative centroids", which code can be found here: https://github.com/cclairec/Iterative_Centroid</p> <p>The 50 random populations are all generated from a same shape S0. We generated random deformations around S0 and symmetrised the deformations, so the centre of the populations is S0. More details in the paper.</p> <p>Each data set is composed by 50 shapes. The Matlab files contain:</p> <p>- moment: The initial momentum vector used to generate each subject of the population</p> <p>- SkelSuj_Rigid: The first line contains the vertices and faces of each subject. The second line contains the parameters to generate the initial momentum vectors and the subjects.</p>
Figure 3 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 3. Harmonic order for the left first upper molar of M. avellanarius.
Figure 4 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 4. Positions of nine landmarks for the left first upper molar (Definitions are in the text).
Figure 6 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 6. Canonical variate analysis of M. avellanarius on the M1 for landmark analysis.
Figure 2 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 2. Occlusal surface of the left first upper molar and start position of digitisations.
Figure 5 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 5. Canonical variate analysis of M. avellanarius on the M1 for outline analysis.
Figure 4 in Discrete aggregate analysis of ovoid egg shapes in various bird species
Figure 4. Ovoid profiles constructed in the boundaries of lateral arcs 0.75–1.75D.
Figure 9 in Discrete aggregate analysis of ovoid egg shapes in various bird species
Figure 9. Cross-ratio of double segments.
Figure 1 in Using otolith shape analysis to distinguish barracudas Sphyraena sphyraena and Sphyraena viridensis from the Algerian coast
Figure 1. - Location of studied site in the South-Western Mediterranean Sea.
dataset for "GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator"
<p>This dataset contains the numerical simulation data describing the conveying behaviour of shaped-particle systems. Detailed study on the conveying behaviour is presented in a journal paper entitled "GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator". We provide all the essential data in a single excel file with the description below:</p> <p>Dataset 1- Average particle speed (Fig. 7a) and XYZ components (Fig. 7b) for: Sphere at t = 2.1 s, Cube at t = 2.85 s, Biluna at t = 3.1 s, HexP at t = 3.45 s. (Data of Fig. 7)</p> <p>Dataset 2 - XYZ coordinates of a typical particle trapped in the granulator. (Data of Fig. 9)</p> <p>Dataset 3 - Particle retention numbers for different shaped particles. (Data of Fig. 10).</p> <p>Dataset 4 - Average particle speeds for different shaped particles. (Data of Fig. 11).</p> <p>Dataset 5 - Average axial particle speeds for different shaped particles (Data of Fig. 12).</p> <p>Dataset 6 - Residence time distributions for various shaped particles. (Data of Fig. 13)</p> <p>Dataset 7 - Normalised residence time distributions for various shaped particles. (Data of Fig. 14)</p> <p>Dataset 8 - Mean residence time for various shaped particles. (Data of Fig. 15)</p> <p>Dataset 9 - The variance of RTD for different shaped particles. (Data of Fig. 16)</p> <p>Dataset 10 - Cumulative exit age distribution for various shaped particles. (Data of Fig. 17)</p> <p>Dataset 11 - Normalised cumulative exit age distribution for various shaped particles. (Data of Fig. 18)</p> <p>Dataset 12 - Evolution of the cumulative power consumption for various shaped particles. (Data of Fig.19)</p> <p>Dataset 13 - Power consumption distribution for various shaped particles. (Data of Fig.20)</p>
Figure 4 in Otolith shape analysis of three gobiid species of the Northwestern Black Sea and characterization of local populations of Neogobius melanostomus
Figure 4. – Discrimination of the three species by otolith shape analysis.
Data from: Comparative analysis of the shape and size of the middle ear cavity of turtles reveals no correlation with habitat ecology
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Archaeogenomic analysis of Chesapeake Atlantic sturgeon illustrates shaping of its populations in recovery from severe overexploitation
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Diapause is not selected as a bet-hedging strategy in insects: a meta-analysis of reaction norm shapes
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Quantification of flagellar gait changes with combined shape mode analysis and swimming simulations
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FIGURE 7. Principal components analysis using shape information for Galaxiella pusilla s.s in A review of Galaxiella pusilla (Mack) (Teleostei: Galaxiidae) in south-eastern Australia with a description of a new species
FIGURE 7. Principal components analysis using shape information for Galaxiella pusilla s.s. (black) and Galaxiella toourtkoourt (grey) generated from 12 landmarks for a) females (PC1 and PC2 explain 52.0% and 14.5% of the total variance, respectively), b) males (PC1 and PC2 explain 54.4% and 14.7% of the total variance, respectively), and shape changes associated with principal component 2 for c) females and d) males.
Fig. 6. Canonical variate analysis between A in Quantifying elevational effect on the geometric body shape of Russian beetle Carabus exaratus (Coleoptera: Carabidae)
Fig. 6. Canonical variate analysis between A: dorsal and B: ventral views of Carabus exaratus populations. The colors represent the different levels of altitude: Lower elevation (plain): grey, middle elevation (foothill): green, and higher elevation (mountain): brown. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
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.