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7 results for “Virtual Morphology”

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zenodo40/100

EntomonVR: a New Virtual Reality Game for Learning Insect Morphology

<h1>Journal of Insect Biodiversity and Systematics, 2024, 10 (3): 557-569</h1> <p>&nbsp;</p> <p>EntomonVR: a New Virtual Reality Game for Learning Insect Morphology</p> <p><strong>Mikaeel Pasandideh Saqalaksari</strong></p> <p>Department of Agricultural Entomology, Faculty of Agriculture, Tarbiat Modares University, P.O. Box: 14115-336, Tehran, Iran. <a href="mailto:mikaeel.pasandideh@modares.ac.ir">mikaeel.pasandideh@modares.ac.ir</a>; <a href="https://orcid.org/0000-0002-6929-5113">https://orcid.org/0000-0002-6929-5113</a></p> <p><strong>Ali Asghar Talebi</strong></p> <p>Department of Agricultural Entomology, Faculty of Agriculture, Tarbiat Modares University, P.O. Box: 14115-336, Tehran, Iran. <a href="mailto:talebia@modares.ac.ir">talebia@modares.ac.ir</a>; <a href="https://orcid.org/0000-0001-5749-6391">https://orcid.org/0000-0001-5749-6391</a> &nbsp;</p> <p><strong>Thomas van de Kamp</strong></p> <p>Institute for Photon Science and Synchrotron Radiation (IPS), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, Germany; <sup>c</sup> Laboratory for Applications of Synchrotron Radiation (LAS), Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131, Karlsruhe, Germany. <a href="mailto:thomas.vandekamp@kit.edu">thomas.vandekamp@kit.edu</a>; <a href="https://orcid.org/0000-0001-7390-1318">https://orcid.org/0000-0001-7390-1318</a></p> <p><strong>Sajjad Reyhani Haghighi</strong></p> <p>Department of Plant Protection, College of Agriculture and Natural Resources, University of Tehran, 31587-77871 Karaj, Iran. <a href="mailto:sajjad.reyhani@ut.ac.ir">sajjad.reyhani@ut.ac.ir</a>; <a href="https://orcid.org/0000-0001-9485-7088">https://orcid.org/0000-0001-9485-7088</a> &nbsp;</p> <p><strong>Dominique Zimmermann</strong></p> <p>Natural History Museum Vienna, 2nd Zoological Department, Burgring 7, 1010 Vienna, Austria. <a href="mailto:dominique.zimmermann@nhm-wien.ac.at">dominique.zimmermann@nhm-wien.ac.at</a>; <a href="https://orcid.org/0000-0002-3075-6752">https://orcid.org/0000-0002-3075-6752</a></p> <p><strong>Adrian Richter</strong></p> <p>Institut f&uuml;r Zoologie und Evolutionsforschung, Friedrich-Schiller-Universit&auml;t Jena, 07743 Jena, Germany. <a href="mailto:adrichter@gmx.de">adrichter@gmx.de</a>; <a href="https://orcid.org/0000-0001-5627-2302">https://orcid.org/0000-0001-5627-2302</a></p> <p>&nbsp;</p> <p>*Corresponding author: Ali Asghar Talebi, <a href="mailto:talebia@modares.ac.ir">talebia@modares.ac.ir</a></p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

EntomonVR: a New Virtual Reality Game for Learning Insect Morphology

<h1>Journal of Insect Biodiversity and Systematics, 2024, 10 (3): 557-569</h1> <p>EntomonVR: a New Virtual Reality Game for Learning Insect Morphology</p> <p><strong>Mikaeel Pasandideh Saqalaksari</strong></p> <p>Department of Agricultural Entomology, Faculty of Agriculture, Tarbiat Modares University, P.O. Box: 14115-336, Tehran, Iran. <a href="mailto:mikaeel.pasandideh@modares.ac.ir">mikaeel.pasandideh@modares.ac.ir</a>; <a href="https://orcid.org/0000-0002-6929-5113">https://orcid.org/0000-0002-6929-5113</a></p> <p><strong>Ali Asghar Talebi</strong></p> <p>Department of Agricultural Entomology, Faculty of Agriculture, Tarbiat Modares University, P.O. Box: 14115-336, Tehran, Iran. <a href="mailto:talebia@modares.ac.ir">talebia@modares.ac.ir</a>; <a href="https://orcid.org/0000-0001-5749-6391">https://orcid.org/0000-0001-5749-6391</a> &nbsp;</p> <p><strong>Thomas van de Kamp</strong></p> <p>Institute for Photon Science and Synchrotron Radiation (IPS), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, Germany; <sup>c</sup> Laboratory for Applications of Synchrotron Radiation (LAS), Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131, Karlsruhe, Germany. <a href="mailto:thomas.vandekamp@kit.edu">thomas.vandekamp@kit.edu</a>; <a href="https://orcid.org/0000-0001-7390-1318">https://orcid.org/0000-0001-7390-1318</a></p> <p><strong>Sajjad Reyhani Haghighi</strong></p> <p>Department of Plant Protection, College of Agriculture and Natural Resources, University of Tehran, 31587-77871 Karaj, Iran. <a href="mailto:sajjad.reyhani@ut.ac.ir">sajjad.reyhani@ut.ac.ir</a>; <a href="https://orcid.org/0000-0001-9485-7088">https://orcid.org/0000-0001-9485-7088</a> &nbsp;</p> <p><strong>Dominique Zimmermann</strong></p> <p>Natural History Museum Vienna, 2nd Zoological Department, Burgring 7, 1010 Vienna, Austria. <a href="mailto:dominique.zimmermann@nhm-wien.ac.at">dominique.zimmermann@nhm-wien.ac.at</a>; <a href="https://orcid.org/0000-0002-3075-6752">https://orcid.org/0000-0002-3075-6752</a></p> <p><strong>Adrian Richter</strong></p> <p>Institut f&uuml;r Zoologie und Evolutionsforschung, Friedrich-Schiller-Universit&auml;t Jena, 07743 Jena, Germany. <a href="mailto:adrichter@gmx.de">adrichter@gmx.de</a>; <a href="https://orcid.org/0000-0001-5627-2302">https://orcid.org/0000-0001-5627-2302</a></p> <p>&nbsp;</p> <p>*Corresponding author: Ali Asghar Talebi, <a href="mailto:talebia@modares.ac.ir">talebia@modares.ac.ir</a></p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

EntomonVR: a New Virtual Reality Game for Learning Insect Morphology

<h1>Journal of Insect Biodiversity and Systematics, 2024, 10 (3) &nbsp;557-569</h1> <p>&nbsp;</p> <p>EntomonVR: a New Virtual Reality Game for Learning Insect Morphology</p> <p><strong>Mikaeel Pasandideh Saqalaksari</strong></p> <p>Department of Agricultural Entomology, Faculty of Agriculture, Tarbiat Modares University, P.O. Box: 14115-336, Tehran, Iran. <a href="mailto:mikaeel.pasandideh@modares.ac.ir">mikaeel.pasandideh@modares.ac.ir</a>; <a href="https://orcid.org/0000-0002-6929-5113">https://orcid.org/0000-0002-6929-5113</a></p> <p><strong>Ali Asghar Talebi</strong></p> <p>Department of Agricultural Entomology, Faculty of Agriculture, Tarbiat Modares University, P.O. Box: 14115-336, Tehran, Iran. <a href="mailto:talebia@modares.ac.ir">talebia@modares.ac.ir</a>; <a href="https://orcid.org/0000-0001-5749-6391">https://orcid.org/0000-0001-5749-6391</a> &nbsp;</p> <p><strong>Thomas van de Kamp</strong></p> <p>Institute for Photon Science and Synchrotron Radiation (IPS), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, Germany; <sup>c</sup> Laboratory for Applications of Synchrotron Radiation (LAS), Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131, Karlsruhe, Germany. <a href="mailto:thomas.vandekamp@kit.edu">thomas.vandekamp@kit.edu</a>; <a href="https://orcid.org/0000-0001-7390-1318">https://orcid.org/0000-0001-7390-1318</a></p> <p><strong>Sajjad Reyhani Haghighi</strong></p> <p>Department of Plant Protection, College of Agriculture and Natural Resources, University of Tehran, 31587-77871 Karaj, Iran. <a href="mailto:sajjad.reyhani@ut.ac.ir">sajjad.reyhani@ut.ac.ir</a>; <a href="https://orcid.org/0000-0001-9485-7088">https://orcid.org/0000-0001-9485-7088</a> &nbsp;</p> <p><strong>Dominique Zimmermann</strong></p> <p>Natural History Museum Vienna, 2nd Zoological Department, Burgring 7, 1010 Vienna, Austria. <a href="mailto:dominique.zimmermann@nhm-wien.ac.at">dominique.zimmermann@nhm-wien.ac.at</a>; <a href="https://orcid.org/0000-0002-3075-6752">https://orcid.org/0000-0002-3075-6752</a></p> <p><strong>Adrian Richter</strong></p> <p>Institut f&uuml;r Zoologie und Evolutionsforschung, Friedrich-Schiller-Universit&auml;t Jena, 07743 Jena, Germany. <a href="mailto:adrichter@gmx.de">adrichter@gmx.de</a>; <a href="https://orcid.org/0000-0001-5627-2302">https://orcid.org/0000-0001-5627-2302</a></p> <p>&nbsp;</p> <p>*Corresponding author: Ali Asghar Talebi, <a href="mailto:talebia@modares.ac.ir">talebia@modares.ac.ir</a></p>

opencc-by-4.0Apr 2024View details →
dryad32/100

Data from: Integrating 2D and 3D shell morphology to disentangle the palaeobiology of ammonoids: a virtual approach

Based on data derived from computed tomography, we demonstrate that integrating 2D and 3D morphological data from ammonoid shells represents an important new approach for investigating the palaeobiology of ammonoids. Characterization of ammonite morphology has long been constrained to 2D data, with only a few studies collecting ontogenetic data in 180° steps. Here we combine this traditional approach with 3D data collected from high-resolution nano-computed tomography. Ontogenetic morphological data on the hollow shell of a juvenile ammonite Kosmoceras (Jurassic, Callovian) was collected. 2D data was collected in 10° steps and show significant changes in shell morphology. Preserved hollow spines show multiple mineralized membranes never reported before, representing temporal changes in the ammonoid mantle tissue. 3D data show that chamber volumes do not always increase exponentially, as was generally assumed, but may represent a proxy for life events, such as stress phases. Furthermore, chamber volume cannot be simply derived from septal spacing in forms comparable to Kosmoceras. Vogel numbers represent a 3D parameter for chamber shape, and those for Kosmoceras are similar to other ammonoids (Arnsbergites, Amauroceras) and modern cephalopods (Nautilus, Spirula). Two methods to virtually document the suture line ontogeny, used to document phylogenetic relationships of larger taxonomic entities, were applied for the first time and present a promising alternative to hand drawings. The curvature of the chamber surfaces increases during ontogeny due to increasing strength of ornamentation and septal complexity. As this may allow for faster handling of cameral liquid, it could compensate for decreasing SA/V ratios through ontogeny.

opencc-zeroDec 2016View details →
dryad32/100

Data from: Integrating 2D and 3D shell morphology to disentangle the palaeobiology of ammonoids: a virtual approach

Open the record for dataset details and reuse information.

publicAug 2018View details →
geo20/100

Diagnosis of Morphologically Challenging Cases of Renal Epithelial Neoplasms by Virtual Karyotypes with SNP Arrays

GEO Series GSE11447. Homo sapiens. 75 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.

openGEO-OpenNov 2008View details →
geo20/100

Virtual-Karyotyping with SNP microarrays in morphologically challenging renal cell neoplasms

GEO Series GSE14670. Homo sapiens. 120 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.

openGEO-OpenMar 2009View details →

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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.

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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