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959 results for “GeoMetre”
Figure 3. PCA analysis. A. Fore wing. B. Hind wing. C in Geometric morphometric analysis of Eysarcoris guttiger, E. annamita and E. ventralis (Hemiptera: Pentatomidae)
Figure 3. PCA analysis. A. Fore wing. B. Hind wing. C. Pygophore.
Figure 4. A in Further geometric morphometric analysis on the genus Eysarcoris (Hemiptera: Pentatomidae) from China
Figure 4. A dendogram showing the relationship of the eight species of Eysarcoris.
Figure 1. A in A web based tool to merge geometric morphometric data from multiple characters
Figure 1. A workflow for the method.
Impact of nonlinear hydrodynamic modelling on geometric optimisation of a spherical heaving point absorber
<p>Due to the amount of iterative computation involved, researchers involved in geometric optimisation of wave energy devices typically employ linear hydrodynamic models. However, the exaggerated motion of wave energy devices, aided by energy maximising control action, challenges the assumptions upon which linear hydrodynamic modelling relies. Furthermore, the optimal device geometry is also sensitive to the nature of the energy-maximisation controller employed, and to the set of wave conditions over which the optimisation is carried out.<br> <br> In order to focus on the essential issues, this study takes the simplest possible device for optimisation, a heaving sphere (with just one free parameter), but one which exhibits nonlinear hydrodynamic characteristics, due to the non-uniform cross-sectional area. The study examines the sensitivity to the inclusion of nonlinear Froude-Krylov forces. In addition, the sensitivity of the optimal device size to differences in the applied control algorithm is also studied, as are effects due to different representative sea state representations and performance evaluation criteria.</p>
archive_image_correlation_robust_geometrical_design_of_2D_sequential_interlocking_assemblies
<p>Archive containing the X and Y deformation, obtained by image correlation, of several laser cut samples of assemblies generated using the method described in the article Robust geometrical design of 2D sequential interlocking assemblies (not published yet)</p>
Shape data ferrets and polecat (from paper: Gruwier, B.: A geometric morphometric approach to distinguish ferret from polecat and its application to an archaeological specimen from Mechelen (Belgium))
<p>Shape data ferrets and polecat (used in paper: Gruwier, B.: A geometric morphometric approach to distinguish ferret from polecat and its application to an archaeological specimen from Mechelen (Belgium))</p>
Dataset for geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning
<p>This repository contains the dataset from the geometrical digital twinning of the as-built microstructure of three-leaf stone masonry walls of 700mm x 700 mm x 400 mm (Height x Length x Width) with laser scanning. It includes raw and processed data and data analysis scripts. A Readme file explains the structure of the dataset and the contents of each folder. The dataset corresponds to the journal paper <strong><em>Geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning</em></strong> published on Scientific data https://doi.org/10.1038/s41597-023-02417-3.</p> <p>Please, cite as:</p> <p>Saloustros, S., Settimi, A., Ascencio, A.C., Gamerro, J, Weinand, Y., Beyer, K. Geometrical digital twins of the as-built microstructure of three-leaf stone masonry walls with laser scanning. <em>Sci Data</em> <strong>10</strong>, 533 (2023). https://doi.org/10.1038/s41597-023-02417-3</p>
An Extensive Dataset of Geometric Objects Placed in a Watertank for Electrical Impedance Tomography
<p>Open-access experimental Electrical Impedance Tomography (EIT) data set.<br> The measurements were generated using the ScioSpec EIT device from which 16 electrodes were connected to a phantom tank filled with saline. Four 3D-printed cylindrical objects of different sizes were placed in this tank area-wide. Adjacent and opposite injection patterns have been used to measure large datasets with more than 125000 samples.</p> <p>The tutorial can be found here: https://github.com/JacobTh98/sciospeceit/blob/main/tutorial.ipynb</p> <p>Contact: jacob.thoenes@uni-rostock.de</p>
Data from: Geometric morphometrics and paleoproteomics in tandem enlighten the paleodiversity of Pongo
<p>This folder contains the data used for the creation of the phylogenetic trees for the manuscript 'Geometric morphometrics and paleoproteomics in tandem enlighten the paleodiversity of Pongo'.</p> <p>Ancient_Sequences.fa is a fasta file containing all palaeoproteomic sequences reconstructed in the context of the above study. (15 fosil pongo samples) </p> <p>'Raw_Reference_Dataset' is a folder containing 9 fasta files. Each fasta contains the reference sequences of multiple samples (6 H.sapiens,27 Pongo, 30 Gorilla, 38 Pan, 2 Macaca, 1 Nomascus, 1 Microcebus, 1 Papio ) for one protein.</p> <p>'Alignments' is a folder containing 9 fasta files with the name of a protein. Each fasta file contains the aligned sequences of the reference dataset and the ancient samples for that protein. Additionally, the fasta file 'CONCATENATED.fa' contains all proteins concatenated, aligned and I/L fixed.</p>
Geometrical frustration and incommensurate magnetic order in Na3RuO4 with two triangular motifs
<p>Auxiliary data for the frustrated magnet Na3RuO4: magnetic susceptibility, specific heat, lattice parameters, magnetic moments, and the results of DFT calculations for the magnetic exchange couplings</p>
Velocity and acceleration for the positions of the sun meridian declination, according to the geometric model
<p>The data set gives the sun meridian declination for every day of the year, according to the geometric model for the sun declination. In the next columns, the velocity and acceleration of the sun meridian declination is also assessed. And the last column assesses the relative concentration of solar resources available per minute of latitude (arcmin), which is obtained by giving 100% to the 365 rotations of the planet, considering the velocity of the sun meridian declination.</p>
A geometric morphometric approach to identify uncomplete snake vertebrae from raptor bird feeding remains
<p>The Hungarian meadow viper (<em>Vipera ursinii rakosiensis</em>) is an endangered subspecies of <em>Vipera ursinii</em>, which faces high predation pressure, partially due to avian species. To create a systematic method for estimating the measure of predation pressure, we developed a geometric morphometric approach to identify both undamaged and damaged vertebrae of snake species found in Hungarian meadow viper habitats from raptor feeding remains. We used linear discriminant analysis with a reference material of vertebrae from identified snake species as training data. We also tested its efficiency by predicting the identification results of different simulation levels based on vertebra completeness. We practiced this method on vertebrae of unknown species of snakes obtained from nests and pellets of short-toed snake eagles (<em>Circaetus gallicus</em>, n=9), common buzzards (<em>Buteo buteo</em>, n=14) and Montagu’s harriers (<em>Circus pygargus</em>, n=3). The identification approach showed high accuracy, even in the case of missing landmarks to some extent. We identified vertebrae remnants of <em>Natrix natrix</em> (n=172, 83.9%), <em>Coronella austriaca</em> (n=10, 4.9%) and <em>V. u. rakosiensis</em> (n=23, 11.2%). Both, the reptile specialist <em>C. gallicus</em> and<em> </em>the generalist<em> B. buteo</em> proved to be preying on <em>V. u. rakosiensis</em>, while samples of <em>C. pygargus</em> did not contain any snake remains despite of previous observations of <em>V. ursinii</em> predations. Our approach is applicable for other studies and taxa as well, therefore can be a practical tool for classification of incomplete vertebrae, which is otherwise hardly identifiable. Furthermore, it could be applied to help estimate predation pressure on endangered snake species.</p>
Geometrical forms and influencing factors of distributive fluvial system
<p>Distributive Fluvial System developed around Sugan Lake Basin is studied by using geographic information software such as Google Earth, Global Mapper and digital elevation model(DEM). The gradient, fan radius,draining basin area and perimeter,the area and perimeter of DFSs around Sugan Lake Basin are analyzed.</p>
Supplementary material from: ZooMS confirms geometric morphometrics species identification of ancient sheep and goat
<p><span>Geometric morphometrics can effectively distinguish isolated third lower molars of present-day sheep and goat, but its applicability to archaeological specimens has yet to be established. Using a modern reference collection of 743 sheep and goats and a 2D-landmark-based geometric morphometric (GMM) protocol, this study aimed to morphometrically identify 109 archaeological specimens, used as case studies, dating from the Late Neolithic to the modern period/era. These morphometric identifications were then compared to molecular identifications via collagen peptide mass fingerprinting, known as Zooarcheology by Mass Spectrometry (ZooMS). ZooMS confirmed the morphometric identifications for 104 specimens, with the five misidentified specimens all morphometrically identified as goat. </span></p> <p><span>Modern sheep and goats have larger teeth and distinct shapes compared to their archaeological counterparts, suggesting strong differences between archaeological and modern specimens potentially linked with recent breed improvement or geographic origin of the specimens. In addition, for both species, </span><span>some of the archaeological dental morphologies do not match with any of our modern references</span><span>.</span></p> <p><span>This study validates the applicability of geometric morphometrics for identifying isolated archaeological sheep and goat teeth. It represents a stepping stone for future, non-destructive, bioarchaeological studies of the two species.</span></p>
Geometric cup from Athens
Cup in the Academic Art Museum Bonn (Inv. Nr. 10) * Object: Cup with geometric motifs and capricorns. * Find spot: Athens, allegedly close to the Dipylon gate * Place of production: Attica * Dating: 750 - 735 BC * Hardware: Nikon D7500, Nikon 40 mm macro * Software: RealityCapture, Substance Designer, Blender Source: Objaverse 1.0 / Sketchfab
Small Geometric Jug
Item held in the Hellenic and Roman Library at the Institute of Classical Studies in London, bequeathed by Victor Ehrenberg. Dated to circa 6th century BCE. Height of 4.75cm. © Andrew Fox and the Institute of Classical Studies Source: Objaverse 1.0 / Sketchfab
Geometric model Central Surface of a Paraboloid
* This white plaster model has a rectangular base. The surface rising from the base begins as an ellipse and rises to a central peak. No curves are drawn on it. This model was designed in 1877 by L. Schleiermacher under the supervision of Ludwig Brill at the technical high school in Munich and published as part of the first series issued by Brill. * Белая гипсовая модель иллюстрирует геометрическое место центров главной кривизны эллиптического параболоида (то есть огибающую или каустику отраженных лучей). Имеет прямоугольную основу. Поверхность, поднимающаяся от основания, начинается в виде эллипса и поднимается к центральной вершине (которая частично утрачена). На основе присутсвут бирка (Centralfläche des Paraboloids.Verl. v. L. Brill. 1. Ser. Nr. IIIa), позволяющая предположить, что модель была разработана в 1877 году Л. Шлейермахером под руководством Людвига Брилла в технической школе в Мюнхене и опубликована как часть первой серии. * *(метка Р4)* Source: Objaverse 1.0 / Sketchfab
Simulation Data for Electron Scattering due to Asymmetric Drift-Orbit Bifurcation: Geometric Jumps of Adiabatic Invariant
<p>Simulation dataset for the paper “Electron Scattering due to Asymmetric Drift-Orbit Bifurcation: Geometric Jumps of Adiabatic Invariant.” The archive “artemis_solar_dataset.zip” contains the solar wind magnetic field data used to plot Figure 1. The three “…_jump.txt” files are tracing data used to plot Figures 6a, 6b, and 6c, while “test_particle.txt” is the tracing data for Figure 5. The file “t04_L_shells__Pd_4.00_B_5.00_theta_225.txt” provides magnetic field B(s, MLT) profiles at different L-shells (used to plot Figure 7); each line corresponds to a specific MLT sector at one specific L-shell.</p>
Code from: Geometric-mean fitness does not correspond to long-term survival probability
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Geometric morphometrics as a tool for evaluating Eublastoidea morphological variation
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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