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959 results for “GeoMetre”

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zenodo36/100

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 shows the locus of centers of principal curvature of an elliptic paraboloid (that is to say, the envelope or caustic of reflected rays). A tag on the base of the model reads: Centralfläche des Paraboloids. (/) Verl. v. L. Brill. 1. Ser. Nr. IIa. * Эта модель была разработана в 1877 г. Л. Шлейермахером под руководством Людвига Брилля в высшей технической школе в Мюнхене и опубликована как часть первой серии, выпущенной Бриллем. Он показывает геометрическое место центров главной кривизны эллиптического параболоида (т.е. огибающую или каустику отраженных лучей). * *(метка 22)* Source: Objaverse 1.0 / Sketchfab

opencc-byDec 2021View details →
zenodo36/100

Geometric Model / Геометрическая модель

* This is a white plaster model. It has numerous flat faces. It is one of a series of models designed by A. Schoenflies in Göttingen to illustrate the regular partition of space. The series was published by Ludwig Brill. * Гипсовая фигура представлена геометрической моделью со множеством плоских граней. На одной из граней присутствует бирка (Mod. zur Darstellng. von regulären Gebiestheilnngen des Raumes. Verl. v. L. Brill 19. Ser. Nr. ll), которая позволяет предположить, что фигура принадлежит к серии моделей, разработанных А. Шенфлисом в Геттингене для иллюстрации регулярного разделения пространства * *(метка Р119)* Source: Objaverse 1.0 / Sketchfab

opencc-byDec 2021View details →
zenodo36/100

Italo-Geometric olla

"Italo-Geometric olla from the Castello Banfi Collection Italo-Geometric olla with trumpet foot. Orange impasto with white slip. Painted geometric decoration; mixed technique: red-on-white and white-on-red. Produced in Vulci. First half of the 7th c. BCE. Montalcino, Poggio alle Mura (Castello Banfi), n. inv. 185. Bischeri 2022: n. cat. 95. Processed in Reality Capture from 331 images. GDH ID C7_185 This project was done under the authority of the Soprintendenza Archeologia, belle arti e paesaggio per le province di Siena Grosseto e Arezzo in collaboration with Global Digital Heritage. We thank Elizabeth Koenig, Hospitality Project Director at Castello Banfi and President of the Scientific Committe of Fonadazione Banfi, for coordinating this project and making the collection accessible. The catalog of the Banfi collection was created by Dr. Matteo Bischeri (2022)." Source: Objaverse 1.0 / Sketchfab

opencc-byApr 2022View details →
zenodo36/100

Geometric Model

* This model relating to the Regular Partition of three-dimensional spaceIt has a parallelogram and six triangles for faces. Several line segments are indicated. This is one of a series of models designed by A. Schoenflies in Göttingen to illustrate the regular partition of space. Schoenflies designed "stones" which could be arranged into larger blocks. It was first published by Brill. * *(метка Р1233)* Source: Objaverse 1.0 / Sketchfab

opencc-byJan 2022View details →
zenodo36/100

Bowl with Abstract Geometric Design, 9th-10th C

Samarra ware 'Bowl with Abstract Geometric Design,' 9th-10th C CE, now in the collection of the Minneapolis Institute of Art. More information [here](https://collections.artsmia.org/art/499/bowl-with-abstract-geometric-design-iraq) Source: Objaverse 1.0 / Sketchfab

opencc-zeroOct 2021View details →
zenodo36/100

Geometric Model Spiral Surface

* This white plaster model has a round base and a vertical spiral of eight turns. It is one of a series copied from originals at the technical high school in Munich, under the direction of Alexander Brill. The model represents the surface of a screw on which a rotational ellipsoid. * *(метка 6)* Source: Objaverse 1.0 / Sketchfab

opencc-byFeb 2022View details →
zenodo36/100

Data and plotting scripts used in "High level implementation of geometric multigrid solvers for finite element problems: applications in atmospheric modelling"

<p>Raw performance data and plotting scripts used to generate the figures in the paper "High level implementation of geometric multigrid solvers for finite element problems: applications in atmospheric modelling"</p>

opencc-by-4.0Apr 2016View details →
zenodo36/100

Data and plotting scripts used in "High level implementation of geometric multigrid solvers for finite element problems: applications in atmospheric modelling"

<p>Raw performance data and plotting scripts used to generate the figures in the paper "High level implementation of geometric multigrid solvers for finite element problems: applications in atmospheric modelling"</p> <p>A previous version of this dataset (corresponding to an earlier revision of the paper) is available as https://doi.org/10.5281/zenodo.50533.</p>

opencc-by-4.0Apr 2016View details →
zenodo36/100

Figure 1. - Diagram showing abbreviations of geometric terms used to describe truncate flabellids. Left: lateral view of an anthocyathus; center: basal scar of an anthocyathus; right: edge view of an anthocyathus. Abbreviations defined in Materials section.

Figure 1. - Diagram showing abbreviations of geometric terms used to describe truncate flabellids. Left: lateral view of an anthocyathus; center: basal scar of an anthocyathus; right: edge view of an anthocyathus. Abbreviations defined in Materials section.

opencc-by-4.0Feb 2017View details →
zenodo36/100

Figure 1. Landmarks head selection. A. Rhodnius prolixus. B in Head geometric morphometrics of two Chagas disease vectors from Venezuela

Figure 1. Landmarks head selection. A. Rhodnius prolixus. B. Triatoma maculata. Scale bar = 1 mm.

opencc-by-4.0Dec 2017View details →
zenodo36/100

Data for geometric analysis of seed shape diversity in the Cucurbitaceae

<p>Data to complement the article Geometric analysis of seed shape diversity in the Cucurbitaceae&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Geometric calibration of a double-line X-ray cone-beam tomography system

<p>This dataset correspond to the raw data and measurements presented in the article "Geometric calibration of a double-line X-ray cone-beam tomography system". In this study, an existing single-line calibration method is extended to the case of a double-line X-ray tomograph, based only on the geometrical relation between the different components, and using a simplified calibration phantom. The methodology is tested on the new double tomograph system at INSA Lyon. Walnuts are used as testing phantoms due to their natural irregularity and outstanding internal texture under X-rays.</p><p>Two scanning scenarios are selected to represent the wide range of possible geometries that the system can resolve. The first test, referred to as NXGP04, corresponds to an assembly of walnuts inside a container, scanned at a voxel size of 111 μm, and a geometric magnification (i.e., the ratio between SDD and SOD) of 2.7. The second test, referred to as NXGP05, constitutes a scan of a single walnut using a voxel size of 28 μm and a geometric magnification of 10.7. For a given test, all the geometric parameters (i.e., SOD and SDD), as well as the scanning parameters (e.g., voltage and exposure time) are set equally for both lines.&nbsp;</p><p>Calibration phantoms are used to measure the geometry of the system for each test. They consist of a set of 7 metallic spheres attached to a foam board arranged along a line. For the test NXGP04, the spheres have 2.5 mm in diameter and are placed using a spacing of 20 mm, while for the test NXGP05, the spheres have 0.8 mm in diameter and spacing of 8.75 mm. In both cases, the size of the spheres in the detectors is such that more than 700 pixels are used to determine their centre, which increases the sensitivity of the calculation.&nbsp;</p>

opencc-by-4.0Nov 2023View details →
dryad36/100

Using geometric wing morphometrics to distinguish Aedes japonicus japonicus and Aedes koreicus

<p><span><strong>Background</strong>:</span><span> <em>Aedes japonicus japonicus</em> (Theobald, 1901) and <em>Aedes koreicus</em> (Edwards, 1917) have rapidly spread in Europe over the last decades. Both species are very closely related and occur in sympatry. Females are difficult to distinguish, and no distinctive morphological characters are known for males. However, accurate species discrimination is important as both species may differ in their vectorial capacity and spreading behaviour. In this study, we assessed the potential of geometric wing morphometrics as an alternative to distinguish the two species. </span></p> <p><span><strong>Methods</strong>:</span><span> A total of 147 <em>Ae. japonicus</em> specimens (77 females and 70 males) and 124 <em>Ae. koreicus</em> specimens (67 females and 57 males) were collected in South-West Germany. The left wing of each specimen was removed, mounted and photographed. The coordinates of 18 landmarks on the vein crosses were digitalised by a single observer. The resulting two-dimensional dataset was used to analyse the differences in the wing size (i.e., centroid size) and wing shape between <em>Ae. japonicus </em>and <em>Ae. koreicus</em> by means of geometric morphometrics. To analyse the reproducibility of the analysis, the landmark collection was repeated for 20 specimens per sex and species by two additional observers.</span></p> <p><span><strong>Results</strong>:</span><span> The wing size in female <em>Ae. koreicus</em> was significantly greater than in <em>Ae. japonicus</em> but did not differ significantly for males. However, the strong overlap in wing size for the females would not allow for discriminating the two species. In contrast, the wing shape clustered species-specific and a leave-one-out validation resulted in a reclassification accuracy of 95% for the females and 91% for the males. The data collected by different observers resulted in a similar accuracy, indicating a low observer bias for the landmark collection. </span></p> <p><span><strong>Conclusions</strong>:</span><span> Geometric wing morphometrics provide a reliable and robust tool to distinguish female and male specimens of <em>Ae. japonicus </em>and<em> Ae. koreicus</em>. </span></p>

opencc-zeroDec 2022View details →
zenodo36/100

Dataset for Popov, Strokov, and Surdyaev 2021: Black hole shadows against an optically thick, geometrically thin disk

<p>The datasets contain images of an optically thick, geometrically thin accretion disk distorted by the presence of a Kerr black hole (i.e., black hole shadows). The images are in a compressed text format (.gz) as well as in a graphic format. The training dataset comprises 2,301 images for various values of the disk's outer radius, the spin and sense of rotation of the black hole, and for different viewing angles (w.r.t. the equatorial plane where the disk resides). The test set contains 89 images with parameters which were randomly sampled from the same ranges as in the training set. For details, see the works associated with this record.</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

Geometric model

* This white plaster model has eight triangles and one irregular octagon as faces. This is part of a series of models designed by A. Schoenflies in Göttingen to illustrate the regular partition of space. * *(метка Р102)* Source: Objaverse 1.0 / Sketchfab

opencc-byJan 2022View details →
zenodo36/100

Geometric Model Space-Filling Surface

* This white plaster model has as faces triangles, parallelograms and four-pointed stars. Some line segments are indicated. It is one of a series of models designed by A. Schoenflies in Göttingen to illustrate the regular partition of space. Schoenflies designed "stones" which could be arranged into larger blocks (sometimes with congruent stones, as in this case). The series was first published by Brill. * Эта модель из белого гипса имеет в качестве граней треугольники, параллелограммы и четырехконечные звезды. Обозначены некоторые отрезки линии. Это одна из серии моделей, разработанных А. Шенфлайсом в Геттингене для иллюстрации правильного разделения пространства. Шенфлай разработал фигуры, которые можно было сложить в более крупные блоки. Эта серия была впервые опубликована Людвигом Бриллом. * *(метка 25)* Source: Objaverse 1.0 / Sketchfab

opencc-byJan 2022View details →
zenodo36/100

Geometric model of Central Surface

* This white plaster model has a rectangular base, with the surface on the base having an oval top and bottom. Tips protrude from two points at the center of the base and two points on the top. The center is indented, with two wedges protruding.The model was designed in 1877 by Walter Dyck under the supervision of Ludwig Brill at the technical high school in Munich. It shows the locus of centers of principal curvature of a one-sheeted hyperboloid * Гипсовая фигура показывает геометрическое место центров главной кривизны однополостного гиперболоида (то есть огибающую или каустику отраженных лучей). Модель была разработана в 1877 году Вальтером Дайком под руководством Людвига Брилла в технической школе в Мюнхене. * *(метка Р2)* Source: Objaverse 1.0 / Sketchfab

opencc-byDec 2021View details →
zenodo36/100

Geometric Model Surface of Revolution

* The model was published by Ludwig Brill of Darmstadt as one of Plaster models of surfaces of revolution.The plaster model shows the surface of revolution of the curve **z2 = a2 (x-a)** about the z-axis. Curves drawn on the surface are asymptotic curves, that is to say curves where the curvature is zero. * Модель была опубликована Людвигом Бриллом из Дармштадта как одна из гипсовых моделей поверхностей вращения. Гипсовая модель показывает поверхность вращения кривой **z2 = a2 (x-a)** вокруг оси z. Кривые, нарисованные на поверхности, являются асимптотическими кривыми, то есть кривыми, кривизна которых равна нулю. * *(метка 27)* Source: Objaverse 1.0 / Sketchfab

opencc-byFeb 2022View details →
dryad36/100

Data from: facial growth and development trajectories based on 3D images: geometric morphometrics with a deformation perspective

<p>Developmental changes of facial shape are commonly investigated through geometric morphometrics. A limitation with this approach is the inability to investigate patterns of morphological changes at local scale. This could be addressed through quantifying the deformation required to deform one shape to another. This study aimed to investigate changes in mean, rate, and variance of facial shape at local scale using geometric morphometrics through deformation perspective. 2112 Europeans 3 to 40 years-old from the 3D Facial Norms project were included. Shape and rate trajectories from partial least-squares regressions revealed that the developmentally protrusive nasal bridge was due to local expansion in surrounding tissues as opposed to shape changes in nasal bridge per-ser. Local expansion of the supraorbital region, in particular the medial part in males, resulted in the sloping forehead and deep-situated eyes with development. Facial shape variation increased non-linearly with age (p &lt; 0.05), with features having larger rate of change becoming more developmentally diversified. In summary, our deformation perspective facilitates unravelling morphogenetic processes underlying shape changes. Our extended analytical scope inspires novel measures worthy of consideration while establishing facial growth charts. The analytical framework in this study is broadly applicable for analysis of shape changes in general.</p>

opencc-zeroDec 2023View details →
zenodo36/100

Geometric Model Central Surface of a Paraboloid

* This white plaster model has a rectangular base and a central peak with four concave sides. The model was designed in 1877 by L. Schleiermacher under the supervision of Ludwig Brill at the technical high school in Munich. It shows the locus of centers of principal curvature of an elliptic paraboloid (that is to say, the envelope or caustic of reflected rays). * Эта модель из белого гипса имеет прямоугольное основание и центральный выступ с четырьмя вогнутыми сторонами. Модель была разработана в 1877 году Л. Шлейермахером под руководством Людвига Брилля в высшей технической школе в Мюнхене. Он показывает расположение центров главной кривизны эллиптического параболоида (то есть огибающей или каустики отраженных лучей). * *(метка 1)* Source: Objaverse 1.0 / Sketchfab

opencc-byDec 2021View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record