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2,453 results for “Architecture”
Fig. 3 in Constraints on the lamina density of laminar bone architecture of large-bodied dinosaurs and mammals
Fig. 3. Comparison of the frequency distributions of lamina density of sauropodomorph dinosaur taxa. The distribution follows a normal distribution. Descriptive statistics for sauropod lamina density: mean = 5.76 laminae/mm; SD = 1.386 laminae/mm; skew = 0.842; kurtosis = 0.021. For further discussion please refer to the main text.
Fig. 2 in Constraints on the lamina density of laminar bone architecture of large-bodied dinosaurs and mammals
Fig. 2. Laminar bone tissue in a Brachiosaurus humerus (MFN t7). One lamina is defined as the distance from the center of a vascular canal to the center of the following vascular canal, as indicated by the arrows (cf. Sander and Tückmantel 2003).
Fig. 1. Static and dynamic osteogenesis. A in Constraints on the lamina density of laminar bone architecture of large-bodied dinosaurs and mammals
Fig. 1. Static and dynamic osteogenesis. A. Static osteogenesis by static osteoblasts proliferating in situ from mesenchymal tissue. The random orientation of the osteoblasts creates a random local fibre orientation of the produced matrix. B. Static osteoblasts turn into static osteocytes as they become entrapped in the mineralizing woven bone matrix. C. Dynamic osteoblasts arrange themselves on the woven bone and start producing highly organized primary bone, occasionally trapping a dynamic osteoblast, which will then become a dynamic osteocyte. D. Static and dynamic osteocyte lacunae in a longitudinal section of a humerus of the titanosaur Alamosaurus. A–C modified from Marotti (2010), D modified from Stein and Prondvai (2014).
FIGURE 15. Other burrow architectures. 1, Y in Neoichnology of the burrowing spiders Gorgyrella inermis (Mygalomorphae: Idiopidae) and Hogna lenta(Araneomorphae: Lycosidae)
FIGURE 15. Other burrow architectures. 1, Y-shaped burrow produced by Hogna lenta (H4). 2, Isolated chamber produced by adult Gorgyrella inermis (G6). 3, Subvertical shaft with terminal chamber produced by adult G. inermis (G27). 4, J-shaped burrow produced by juvenile G. inermis (G23).
Compilation of data collected in surveys on the WissKI-based 3D Repository with DFG 3D-Viewer project partners and architecture students from the Warsaw University of Technology and the Technical University of Łódź
<p>The dataset contain the compiliation of responses from users of WissKI-based 3D Repository (https://3d-repository.hs-mainz.de/)., which is the open platform for deposit of 3D models of cultural heritage. The beta version of the WissKI 3D Repository, initiated in June 2022, has been subjected to evaluation by two primary target groups since its launch. The initial group, composed of students in the cultural heritage domain, was tasked with showcasing the importance of documenting and publishing 3D models of digital reconstructions. The survey with sutdents was conducted for three different classes: </p> <p>1) In summer 2022 with bachelor architectrue students at Warsaw University of Technology during seminar of choice regarding digital reconstruction of wooden synagogues;</p> <p>2) In summer 2023 with bachelor architectrue students at Warsaw University of Technology, and master students from Technology University of Łódź during seminar of choice regarding digital reconstruction of wooden synagogues;</p> <p>3) In autumn 2023 during international workshop about digital 3D heritage of CoVHer project with studnets of architecture from Warsaw Univeristy of Technology, Alma Mater Studiorum – Universita di Bologna, Facoltà di Architettura di Porto and Hochschule Mainz - University of Applied Sciences, as well as archaeology studnets from Universitat Autònoma de Barcelona.</p> <p>The second group, comprising digital 3D cultural heritage professionals, predominantly focused on archiving digital assets. Participants were project partners of DFG 3D Viewer project, which were professionals from the Institute of Archaeology at University Cologne, the Institute of Art History at the Ludwig-Maximilians-Universität Munich, the Architecture, Civil Engineering and Urban Planning Department of BTU Cottbus Senftenberg, and the Detushce Museum. They were asked for evaluaton of system after three differetn stages of work: at the begging wihtout any introduction to the system, after proivision of intorudctionary materilas and finally at the end of work.</p> <p>All participants were requested to report their experiences across four categories: metadata form, 3D viewer, provided guidelines, and overall experience. A 5-point rating scale was employed to assess specific issues, with 1 being the most negative and 5 being the most positive. The form length question was an exception, where a median value of 3 was considered ideal, and extreme values indicated either excessive length or brevity.</p>
Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms Dataset
<p>This is the official data repository for the paper: "Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms", available at:<a href="https://www.arxiv.org/abs/2409.19371"> https://www.arxiv.org/abs/2409.19371</a>. The corresponding code is available at: <a href="https://github.com/david-stojanovski/EDMLX">https://github.com/david-stojanovski/echo_from_noise</a></p> <p> </p> <p>The synthetic data is produced using a variety of generative architectures, including the <strong>Elucidating Diffusion Model (EDM), Variance Exploding (VE), Variance Preserving (VP)</strong>, and our novel models, <strong>EDM-L64</strong> and <strong>EDM-L128</strong>, which employ <strong>latent diffusion</strong> strategies to significantly reduce computational cost. By incorporating <strong>spatially adaptive normalization (SPADE) blocks</strong> and <strong>Γ-distribution-based Variational Autoencoders (Γ-VAE)</strong>, these datasets ensure that the generated images preserve the essential semantic features required for training deep learning models.</p> <p> </p> <p>All pretrained classification and segmentation models can be found within the <strong>trained_models </strong>file.</p> <p>All generated images can be found within the <strong>generated_data </strong>file. Included is the <strong>CAMUS</strong> and original <strong>Semantic Diffusion Model (SDM) </strong>data, as well as a folder labelled <strong>easy_inference</strong> designed to contain all relevant labelmaps in a convenient folder for generating replicas of the dataset (detailed at codebase).</p>
Linked collectors and determiners for: The discovery of the spider genus Putaoa (Araneae, Pimoidae) in Taiwan with the description of a new species, including its web architecture.
Natural history specimen data linked to collectors and determiners held within, "The discovery of the spider genus Putaoa (Araneae, Pimoidae) in Taiwan with the description of a new species, including its web architecture". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/18e8beff-2325-487f-a7d6-657900b2bbfa">https://bionomia.net/dataset/18e8beff-2325-487f-a7d6-657900b2bbfa</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/18e8beff-2325-487f-a7d6-657900b2bbfa">https://gbif.org/dataset/18e8beff-2325-487f-a7d6-657900b2bbfa</a>. Formatted as a Frictionless Data package.
Conformance Assessment of Architectural Design Decisions on API Endpoint Designs Derived from Domain Models: Dataset and Code
<p>This is the dataset and related code artifact for the article "Conformance Assessment of Architectural Design Decisions on API Endpoint Designs Derived from Domain Models".</p> <p><strong>Abstract of the article:</strong></p> <p>Domain-driven design (DDD) is commonly used, especially in enterprise systems, to design microservices. A crucial aspects of microservice design is API design, which includes the design of API endpoints. In particular, we studied link mapping, API operation design, and resource segregation as API endpoint design issues that are linked to domain model design. Based on Architectural Design Decisions (ADD) studied in a prior empirical study on the interrelation of DDD and APIs, we suggest a new approach for the automated assessment of conformance to ADD options. This approach aims to support the continuous analysis of API endpoint designs. The approach suggests automated detectors to detect ADD options selected in a given API endpoint design, as well as an assessment scoring scheme based on our empirical results. For evaluation of our results, we first manually created a ground truth for 12 cases in a multi-case study, and then compared the results of our automated detectors to the ground truth for each of those cases.</p>
A groupwise registration and tractography framework for cardiac myofiber architecture description by diffusion MRI : an application to the ventriclar junctions
<p>Data and materials regarding the submission of the paper. See Data Avaibility section and https://github.com/valeryozenne/Cardiac-Structure-Database</p> <p> </p>
FIG. 6 in The architecture of Phyllanthus acuminatus Vahl: a prelude to understanding the architectural evolution in the Phyllanthaceae
FIG. 6. — Mapping of architectural models on a synthesis of the phylogeny of Phyllanthaceae according to Kathriarachchi et al. (2005); clades T1-6 and F1-4 correspond with their clades and are firmly supported by their analysis.
FIG. 5 in The architecture of Phyllanthus acuminatus Vahl: a prelude to understanding the architectural evolution in the Phyllanthaceae
FIG. 5. — Phases of development of Phyllanthus acuminatus Vahl: A, seedling (not observed); B, branching of A1 with A3 and some A2; C, sexual maturation with axes A1, A2 and A3, also development of A1'; D, E, crown broadening with reiterates A1' (arrows); F-H, adults. Crosses indicate dead or broken axes.
FIG. 1. — Axes A1, A2 and A3 in The architecture of Phyllanthus acuminatus Vahl: a prelude to understanding the architectural evolution in the Phyllanthaceae
FIG. 1. — Axes A1, A2 and A3 of Phyllanthus acuminatus Vahl. The combination of A2 and A3 is clearly similar to a compound leaf (phyllomorphic branch).
FIG. 3 in The architecture of Phyllanthus acuminatus Vahl: a prelude to understanding the architectural evolution in the Phyllanthaceae
FIG. 3. — Microscopic transversal section of mature A2 axis of Phyllanthus acuminatus Vahl. Beneath the epiderm there is no sign of phellogen. Photo by L. F. Cabrera. Scale bar: 64 µm.
FIG. 15 in Architectures de plantes de l'Île Robinson Crusoe, archipel Juan Fernández, Chili
FIG. 15. — Pernettya rigida (Bertero ex Colla) DC., un arbuste de 1 à 2 m de hauteur, est la seule Ericaceae des îles Juan Fernández; c'est aussi le premier exemple du modèle de Koriba dans cette famille.
FIG. 12 in Architectures de plantes de l'Île Robinson Crusoe, archipel Juan Fernández, Chili
FIG. 12. — Robinsonia berteroi (DC.) R.W.Sander, Stuessy & Martic., une Asteraceae arbustive d'une hauteur totale de 5,5 m; les étages de branches sont indiqués par des flèches.
FIG. 9. — A in Architectures de plantes de l'Île Robinson Crusoe, archipel Juan Fernández, Chili
FIG. 9. — A, Chenopodium crusoeanum Skottsb., une Chenopodiaceae arbustive atteignant 3 m de haut; la ramification est abondante et d'aspect anarchique; B, Eryngium bupleuroides Hook. & Arn., une Apiaceae dont la ramification est, au contraire, absolument schématique (hauteur: 1,5 m); C, la ramification de la Bromeliaceae Ochagavia elegans Phil. est également régulière et aisément prévisible; cette plante forme des coussins sur les falaises.
FIG. 11 in Architectures de plantes de l'Île Robinson Crusoe, archipel Juan Fernández, Chili
FIG. 11. — Dendroseris neriifolia (Decne.) Hook. & Arn., une Asteraceae arbustive de 2 m de hauteur, à tronc monopodial; les étages de branches sont indiqués par des flèches.
FIG. 24 in Architectures de plantes de l'Île Robinson Crusoe, archipel Juan Fernández, Chili
FIG. 24. — Buissonnement basal et multiplication végétative par stolons souterrains chez la Murtilla (Ugni molinae Turcz.).Les stolons sont feuillés lorsqu'ils sont jeunes, ce qui permet de les distinguer aisément des racines.Par la suite,la distinction reste aisée sur le plan anatomique: la racine a une section circulaire et une moelle réduite, le stolon a une section quadrangulaire et une moelle abondante.
FIG. 20 in Architectures de plantes de l'Île Robinson Crusoe, archipel Juan Fernández, Chili
FIG. 20. — La Luma,Myrceugenia fernandeziana (Hook.& Arn.) Johow, une Myrtaceae atteignant une hauteur de 15 m, est l'arbre le plus commun des forêts primaires. Ici, en sous-bois, la forme juvénile est plagiotrope,avec des étages foliaires disposés horizontalement. À la lumière, chez la Luma adulte, les axes sont verticaux.
FIG. 7 in Architectures de plantes de l'Île Robinson Crusoe, archipel Juan Fernández, Chili
FIG. 7. — Gunnera peltata Phil., Gunneraceae. Les inflorescences sont terminales et, le long du tronc, des articles longs alternent avec des articles courts. Les limbes foliaires atteignent 1,5 m de diamètre.
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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.