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476 results for “Microstructure”
Selected properties and microstructure of concrete with tire rubber granulate as recycled material in construction industry
<p><span>The paper explores the use of recycled materials in the construction industry to promote sustainable development. There is a growing demand for recycling and innovative materials in engineering. The study specifically investigates the potential of tire rubber recyclate as a recycled raw material, comparing two different mixtures in an experimental program. These mixtures highlight the importance of utilizing local resources, aligning with the principles of the circular economy. The experimental program focuses on evaluation of mechanical properties in addition to specialized tests. Findings indicate that higher proportions of rubber granulate not only impact mechanical properties but also significantly affect durability when exposed to environmental factors. </span></p>
Supplementary information for 'Microstructure and pinning properties of CSD-grown SmBa2Cu3O7-δ films with and without BaHfO3 nanoparticles'
<p>Supplementary information containing TEM data and analysis for the article </p> <p>"<strong>Microstructure, pinning properties, and aging of CSD-grown SmBa<sub>2</sub>Cu<sub>3</sub>O<sub>7-δ</sub> films with and without BaHfO<sub>3</sub> nanoparticles</strong>"</p> <p>Link to paper: <a href="https://iopscience.iop.org/article/10.1088/1361-6668/ac7b4d">https://iopscience.iop.org/article/10.1088/1361-6668/ac7b4d</a></p> <p>Three folders are present after unzipping the archive:</p> <ul> <li>The folder <em>BHO-Nanoparticle-Size </em>contains a Jupyter notebook showing particle-size analysis. The projected particle sizes/areas were measured using Fiji using the LABKIT plugin by Arzt et al. (<a href="https://doi.org/10.3389/fcomp.2022.777728">https://doi.org/10.3389/fcomp.2022.777728</a>).</li> <li>The <em>Images</em> folder contains 16-bit STEM images in the tiff format. Some images were filtered with an average-background subtraction filter (ABSF).</li> <li>The <em>STEM-EDXS </em>folder shows Jupyter notebooks for STEM-EDXS data treatment using the HyperSpy Python package (<a href="https://hyperspy.org/">https://hyperspy.org/</a>).</li> </ul> <p>If there are any questions/bugs, feel free to contact me at lukas.gruenewald_at_kit.edu</p>
Microstructure and velocity data collected near Velasco Reef during the June 2016 FLEAT field program
<p>Data used in Wynne-Cattanach et al paper, "Measurements of turbulence generated by wake eddies near a steep headland"</p>
Fig. 2. Elytral microstructures. A–B, E–F, M–N in Pelogeniinae Chamberlin, 1919 (Annelida, Sigalionidae) from the Grand Caribbean Region
Fig. 2. Elytral microstructures. A–B, E–F, M–N. Dayipsammolyce paulayi sp. nov. C–D, I–J. Pelogenia kinbergi (Hansen, 1882). G–H. Neopsammolyce floccifera (Augener, 1906). K–L. Neopsammolyce aff. floccifera. O–P. Hartmanipsammolyce pettiboneae sp. nov. Q–R. Pelogenia capitata sp. nov. A–H. Non-adherent microestructures. A–B. Microtubercles. C–D. Pedunculate papillae with puffed tips. E–F. Short dendritic papillae. G–H. Long dendritic papillae. I–R. Adherent papillae. I–J. Flat papillae. K–L. Pedunculate papillae with flat tip. M–N. Pedunculate papillae with truncated tips. O–P. Pedunculate globular papillae. Q–R. Pedunculate capitate papillae. Scale bars: A–B, N, Q–R = 10 μm; C–F, I–M, O = 20 μm; G–H = 100 μm; P = 5 μm.
Application of X‑ray Microcomputed Tomography for the Static and Dynamic Characterization of the Microstructure of Oleofoams
<p>Raw, greyscale image stacks collected during a X-Ray tomography analysis on cocoa butter-based oleofoams. The dataset is divided into three subsets: aeration, storage and heating, which contain samples that have been aerated for different amounts of time, samples that have been stored for 3 and 15 months at 20 °C, and finally samples that have been heated to the melting point of the stabilizing crystals, respectively. The dataset contains instructions and the scripts for ImageJ and MATLAB (as text files) to process and measure the bubble size distribution, and the thickness of the continous phase.</p>
Supplementary material of Kristallbrockensalt microstructures of the Zechstein-2 rock salt from the Northern Netherlands
<p>This dataset represents supporting data for the paper entitled <strong>Grain size dependent large rheology contrasts of halite at low deviatoric stress: evidence from microstructural study of naturally deformed gneissic Zechstein-2 rock salt (Kristallbrockensalz) from the Northern Netherlands</strong> <strong>, </strong>which has been submitted to <strong>Solid Earth </strong>journal</p> <p>The so-called Kristallbrocken salt has a unique and quite spectacular grain size distribution and marks an important horizon throughout the entire Permian Basin. Based on microstructural observations we interpret that fine grained halite deformed much weaker (i.e. faster) and has characteristic pressure-solution structures, as compared to much less deformed Kristallbrocken megacrystals that developed subgrains during dislocation creep.</p> <p>This dataset contains (1) a collection of addiational micrographs from gamma irradiated halite thin sections, (2) high resolution sample overview scans in tramsmitted and reflected light microscopy and grain and subgrainsize measurements, (3) Supportind EBSD material, (4) BIB-SEM material and (5) XRD results of sedond phase inclusions.</p> <p>(1), (3) and (4) are compiled in PowerPoint (.pptx) format, (2) contains multiple files of microscopical images or panoramas overlain with interpreted digitized grain and subgrain boundaries compiled in Inkscape (.svg) files together with corresponding measurements in Excel (.xls) files and (5) a text document (.txt) of XRD second phase results.</p>
Dataset for publication "Effects of Y and Ho doping on microstructure evolution during oxidation of extraordinary stable Hf-B-Si-Y/Ho-C-N films up to 1500 °C" in Materials & Design 237, (2024), 112589.
<p>Dataset for publication "Effects of Y and Ho doping on microstructure evolution during oxidation of extraordinary stable Hf-B-Si-Y/Ho-C-N films up to 1500 °C" in Materials & Design Volume 237, January 2024, 112589, DOI 10.1016/j.matdes.2023.112589.</p> <p>XRD patterns, SAED patterns, EDS spectra, TEM images, HRTEM images.</p>
Data for a publication "The role of the preparation route on microstructure and mechanical properties of AlCoCrFeNi high entropy alloy"
<p>A dataset containing data for the published article "The role of the preparation route on microstructure and mechanical properties of AlCoCrFeNi high entropy alloy".</p> <p> </p> <p>For more details, please read the <strong>README Description of data and analysis.txt</strong> file.</p> <p> </p> <p> </p>
Automated Segmentation of Large Image Datasets using Artificial Intelligence for Microstructure Characterisation and Damage Analysis
<p>Many properties of commonly used materials are driven by their microstructure, which can be influenced<br>by the composition and manufacturing processes. To optimise future materials, understanding the<br>microstructure is critically important. Here, we present two novel approaches based on artificial intelligence<br>that allow the segmentation of the phases of a microstructure for which simple numerical approaches, such<br>as thresholding, are not applicable: One is based on the nnU-Net neural network, and the other on generative<br>adversarial networks (GAN).<br>Using scanning electron microscopy images collected from large areas (~1 mm²) of dual-phase steels as a<br>case study, we demonstrate how both methods effectively segment intricate microstructural details,<br>including martensite, ferrite, and damage sites, for subsequent analysis.<br>Either method shows substantial generalizability across a range of image sizes and conditions, including<br>heat-treated microstructures with different phase configurations. The nnU-Net excels in mapping large<br>image areas. Conversely, the GAN-based method performs reliably on smaller images, providing greater<br>step-by-step control and flexibility over the segmentation process.<br>This study highlights the benefits of segmented microstructural data for various purposes, such as<br>calculating phase fractions, modelling material behaviour through finite element simulation, and<br>conducting geometrical analyses of damage sites and the local properties of their surrounding<br>microstructure.</p> <p>https://doi.org/10.1016/j.matdes.2024.113031</p>
Fig. 5 in Enamel microstructure and dental histology in a heterodontosaurid dinosaur: Heterodontosaurus tucki
Fig. 5. Simplified ornithischian phylogeny depicting characteristic schmelzmusters and enamel types for studied clades. Note: Presence of enamel tubules in Heterodontosaurus tucki dentary teeth remains unknown. Modified from Hwang (2005).
Fig. 3 in Enamel microstructure and dental histology in a heterodontosaurid dinosaur: Heterodontosaurus tucki
Fig. 3. Enamel microstructure of heterodontosaurid dinosaur Heterodontosaurus tucki Crompton and Charig, 1962 (BP/1/9007), from Lower Jurassic upper Elliot Massospondylus Assemblage Zone of South Africa. A. Scanning electron micrographs: A1, simplified, thin, labial edge enamel with incremental lines in transverse view; A2, thick, mesio-distal edge enamel exhibiting poorly organized crystallites and extremely infrequent enamel tubules in transverse view; A3, mesio-distal edge enamel exhibiting three enamel layers in longitudinal view. Long, sinuous, and continuous enamel tubules are frequently observed in this sectioning plane. B. Schematic enamel block depicting how enamel crystallite complexity might differ in different planes of sectioning. Abbreviations: BUL, basal unit layer; CUL, columnar unit layer; EDJ, enamel dentine junction; OES, outer enamel surface; PC, parallel crystallite.
Fig. 2 in Enamel microstructure and dental histology in a heterodontosaurid dinosaur: Heterodontosaurus tucki
Fig. 2. Maxillary tooth histology of heterodontosaurid dinosaur Heterodontosaurus tucki Crompton and Charig, 1962 (BP/1/9007), from Lower Jurassic upper Elliot Massospondylus Assemblage Zone of South Africa. A. Histological sections: A1, primary ridge: thick band of translucent dentine lines the labial edge of the tooth, no enamel is present; A2, whole tooth: transversely sectioned at the base of the wear facet; A3, mesial ridge: histologically distinct dentine thickens and enamel is absent; A4, labial edge: on the mesial distal edges the enamel is extremely thin, resulting from wear and likely a natural thinning of the enamel, histologically distinct dentine is present, but thin; A5, lateral edge: the enamel is thickest with no distinct dentine present. B. Scanning electron micrograph of labial edge of tooth showing crest formation from differential wear from the last stage of polishing.
Fig. 4 in Enamel microstructure and dental histology in a heterodontosaurid dinosaur: Heterodontosaurus tucki
Fig. 4. Scanning electron micrographs depicting histologically distinct dentine on the outer labial edge of maxillary teeth of heterodontosaurid dinosaur Heterodontosaurus tucki Crompton and Charig, 1962 (BP/1/9007), from Lower Jurassic upper Elliot Massospondylus Assemblage Zone of South Africa. A1, shows the change in dentinal tubule orientation from radially emanating (below black dashed line) to longitudinally emanating (above black dashed line, circular cross-sections) to the atubular dentine present on the outermost edge (above white dashed line). Inset shows the position of the micrograph on the tooth cross section. A2, depicts the marked decrease in dentinal tubules in the outer ~20 µm of dentine. Inset shows that only intertubular dentine is present and the absence of occluded tubules which would be expected if this was derived from sclerotization of the dentine. A3, high magnification image of open dentinal tubules in the histologically distinct enamel (above black dashed line in A1). A4, close up showing the transition zone of tubule orientation. White arrow shows tubule cut along its long axis; black arrows show orthogonally sectioned tubules (circular). More circular tubules are present above the black dashed line than below indicating the zone of tubule orientation shift.
Fig. 1 in Enamel microstructure and dental histology in a heterodontosaurid dinosaur: Heterodontosaurus tucki
Fig. 1. Heterodontosaurid dinosaur Heterodontosaurus tucki Crompton and Charig, 1962 (BP/1/9007), from Lower Jurassic upper Elliot Massospondylus Assemblage Zone of South Africa. Left partial maxillary tooth row in lingual view; preserves partial crowns with wear facets. Blue plane indicates location of histological transverse sections from the middle of the tooth row.
Fig. 7 in Enamel microstructure of permanent and deciduous teeth of a species of notoungulate Toxodon: Development, functional, and evolutionary implications
Fig. 7. Diagrammatic representation indicating microstructural variation of buccal and lingual enamel from distinct regions of the dental axis in upper (dP4, A–D) and lower (dp4, E, F) deciduous premolars of Toxodon sp. Symbols represent different percentages of enamel zones from the enamel-dentine junction (EDJ) up to theouter enamel surface. Microstructural features are obtained from longitudinal (A, B) and transversal sections (C–E). Illustration based on Lindenau (2005).
Fig. 2 in Enamel microstructure of permanent and deciduous teeth of a species of notoungulate Toxodon: Development, functional, and evolutionary implications
Fig. 2. Enamel microstructure in upper molar of Toxodon sp. from the upper Pleistocene of Rio Grande do Sul State, Brazil (southern Coastal Plain, Santa Vitória Formation). Scanning electron micrographs of transversal sections of the ectoloph (A1) and paracone, including the anterior fold (A2–A4). MCN-PV 30077.PHIS-055, M3, general view of enamel exhibiting Schmelzmuster with three enamel types (A1), Hunter-Schreger bands in the enamel of loop from anterior fold on the protocone and modified radial enamel below the dashed line (A2), enamel of outermost loop from anterior fold on the metacone, in opposite position to that observed in A2 (A3, A4). Arrows indicate difference in depth between Hunter-Schreger bands. Dashed line in A1 indicates the morphology of enamel-dentine junction.
Fig. 6 in Enamel microstructure of permanent and deciduous teeth of a species of notoungulate Toxodon: Development, functional, and evolutionary implications
Fig. 6. Diagrammatic representation indicating microstructural variation of enamel in upper permanent molar (A, B) and lower permanent premolar (C) and molar (D–K) of Toxodon sp. A, B. M3. C. p4. D–K. m1–2. Symbols represent different percentages of enamel zones from the enamel-dentine junction EDJ) up to the outer enamel surface. A. Ectoloph (mesial distal). B. Anterior fold (distal). C. Buccal enamel. D. Hypoconulid. E. Meta-entoconid fold mesial loop close to internal portion of fold). F. Meta-entoconid fold (distal loop close to internal portion of fold). G. Ento-hypoconulid fold (mesial loop). Illustration based on Lindenau (2005). H. Ento-hypoconulid fold (distal loop). I. Meta-entoconid fold (distal loop). J. Meta-entoconid fold (innermost area of the distal loop). K. Meta-entoconid fold (internal portion).
Fig. 5 in Enamel microstructure of permanent and deciduous teeth of a species of notoungulate Toxodon: Development, functional, and evolutionary implications
Fig. 5. Diagrammatic representation indicating microstructural variation of buccal enamel in upper (A, B) and lower (C–E) incisors of Toxodon sp. A. I1. B. I2. C, D. i1. E. i3. Areas close to mesial (C) and distal (D) portions of the dental axis. Illustration based on Lindenau (2005). Abbreviation: EDJ, enamel-dentine junction.
Fig. 2 in Comparative bone microstructure of three archosauromorphs from the Carnian, Late Triassic Chañares Formation of Argentina
Fig. 2. Femur of archosauromorph Lagerpeton chanarensis Romer, 1971 (PULR-V 124, in lambda light) from La Rioja province, NW Argentina; Chañares Formation, Carnian (Late Triassic). Section showing the inner circumferential layer and the cortex (A1), detail of the compact coarse cancellous bone (A2), oblique section of the same femur (A3). Abbreviations: CCCB, Compact Coarse Cancellous Bone; ICL, Inner Circumferential Layer. Scale bars 300 μm.
Fig. 3 in Comparative bone microstructure of three archosauromorphs from the Carnian, Late Triassic Chañares Formation of Argentina
Fig. 3. Femur of archosauromorph Lagerpeton chanarensis Romer, 1971 (PVL-4625, in polarized light) from La Rioja province, NW Argentina; Chañares Formation, Carnian (Late Triassic). Section showing the inner circumferential layer and the cortex (A1), detail of the compact coarse cancellous bone (A2). Abbreviations: CCCB, Compact Coarse Cancellous Bone; ICL, Inner Circumferential Layer. Scale bars 300 μm.
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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.
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.