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342 results for “fabric”
Supplementary Material: Microfluidic Fabrication Solutions for Tailor-Designed Fiber Suspensions
<p>Supplementary material for Berthet, H.; du Roure, O.; Lindner, A. Microfluidic Fabrication Solutions for Tailor-Designed Fiber Suspensions. <em>Appl. Sci.</em> <strong>2016</strong>, <em>6</em>, 385.</p> <p><strong>Video S1:</strong> Microfluidic fabrication technique of fibers by in situ photopolymerization</p> <p><strong>Video S2: </strong>In situ microfluidic measurement of the fiber’s Young’s modulus</p> <p><strong>Video S3: </strong>Microfluidic fabrication technique of fibers by super-paramagnetic particles self-assembly</p> <p><strong>Video S4: </strong>Fiber oscillating between the two lateral walls of a microfluidic channel</p> <p><strong>Video S5: </strong>Flow through a constriction of a suspension of parallel fibers fabricated by photo-polymerization</p> <p><strong>Video S6: </strong>Flow through a constriction of a suspension of rigid perpendicular fibers fabricated by photo-polymerization</p> <p><strong>Video S7: </strong>Flow through a constriction of a suspension of flexible perpendicular fibers fabricated by photo-polymerization</p> <p><strong>Video S8: </strong>Concentrated suspension of fibers flowing through a microfluidic constriction</p> <p><strong>Video S9: </strong>Fibers made by colloids self-assembly flowing through a constriction and forming non-permanent clusters.</p>
Ex-situ X-ray computed tomography data for a non-crimp fabric based fibre composite under fatigue loading
<p>Ex-situ X-ray CT fatigue testing data sets published as a data in brief:</p> <p>"<em>Ex-situ X-ray computed tomography data for a non-crimp fabric based fibre composite under fatigue loading</em>", Data in brief, 2017, doi.org/10.1016/j.dib.2017.10.074.</p> <p>Together with the following article:</p> <p>K. M. Jespersen and L. P. Mikkelsen, “Three dimensional fatigue damage evolution in non-crimp glass fibre fabric based composites used for wind turbine blades,” <em>Compos. Sci. Technol. </em> (In press), 2017, 10.1016/j.compscitech.2017.10.004.</p>
Data and code for figures: Design, fabrication and characterization of kinetic-inductive force sensors for scanning probe applications
<p>This directory contains the datasets, code (if applicable) for measurement libraries, data processing and figure generation for the research article "Design, fabrication and characterization of kinetic-inductive force sensors for scanning probe applications", Beilstein J. Nanotechnol. 2024, 15, 242-255.</p>
Dataset of the publication: Liquid‐Phase Fabrication of Janus 2D Materials: Defect‐Rich MoS2 Ultrathin Layers Asymmetrically Decorated with Au Nanoparticles. Small 2024, 2406599
<p>Dataset of the publication: Liquid‐Phase Fabrication of Janus 2D Materials: Defect‐Rich MoS2 Ultrathin Layers Asymmetrically Decorated with Au Nanoparticles</p> <p>N. V. Vassilyeva, A. Forment-Aliaga, E. Coronado, <em>Small</em> <strong>2024</strong>, e2406599.</p> <p>doi: 10.1002/smll.202406599</p>
Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles under triaxial compresion
<p>This repository contains the data and processed results of the work "<em>Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles (lentils) under triaxial compression</em>", published in Granular Matter (https://link.springer.com/article/10.1007/s10035-022-01305-8).</p> <p>The study analyses five triaxial compression tests on cylindrical specimens made up of more than nine thousand lentils. Each specimen is prepared with a characteristic orientation (the orientation of the mould for the deposition of the lentils). Repeated x-ray tomography scanning is performed during deviatoric loading, and each scanned step is reconstructed into a 3D volume. Particles are identified in the first 3D volume (in the form of a labelled image) and tracked from the first image all the way through the test using a novel tracking algorithm, enabling the measurement of particle and contact fabric evolution, as well as strain localisation within the specimens. All the procesing is performed using <a href="https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/intro.html">spam</a> (https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/intro.html) software.</p> <p> </p> <p>The <em>Readme.md</em> file contains further details on the experimental campaign, and the structure of the repository. Please refer to the paper "<em>Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles under triaxial compression</em>" published on<em> Granular Matter</em> for further details not found on the <em>Readme.md </em>file . Additional information/data not included in this repository is available upon request.</p>
A Sensorized Soft Pneumatic Actuator Fabricated with Extrusion-Based Additive Manufacturing
<p>Soft pneumatic actuators with a channel network (pneu-net) based on thermoplastic elastomers are compatible with fused deposition modeling (FDM). However, conventional filament-based fused deposition modeling (FDM) printers are not well suited for thermoplastic elastomers with a shore hardness (Sh < 70A). Therefore, in this study, a pellet-based FDM printer was used to print pneumatic actuators with a shore hardness of Sh18A. Additionally, the method allowed the in situ integration of soft piezoresistive sensing elements during the fabrication. The integrated piezoresistive elements were based on conductive composites made of three different styrene-ethylene-butylene-styrene (SEBS) thermoplastic elastomers, each with a carbon black (CB) filler with a ratio of 1:1. The best sensor behavior was achieved by the SEBS material with a shore hardness of Sh50A. The dynamic and quasi-static sensor behavior were investigated on SEBS strips with integrated piezoresistive sensor composite material, and the results were compared with TPU strips from a previous study. Finally, the piezoresistive composite was used for the FDM printing of soft pneumatic actuators with a shore hardness of 18 A. It is worth mentioning that 3 h were needed for the fabrication of the soft pneumatic actuator with an integrated strain sensing element. In comparison to classical mold casting method, this is faster, since curing post-processing is not required and will help the industrialization of pneumatic actuator-based soft robotics</p>
Dataset related to aticle "Additive Fabrication of a Vascular 3D Phantom for Stereotactic Radiosurgery of Arteriovenous Malformations"The database contains 3D models in STL file format of a patient-specific brain arteriovenous malformation phantom reconstructed from computed tomography scans.
<p><em>The database contains 3D models in STL file format of a patient-specific brain arteriovenous malformation phantom reconstructed from computed tomography scans.</em></p>
A Large Scale Fabrication of Graphene Based Nano-electromechanical Contact Switches With Ultra-low Pull-in Voltage [Dataset]
<p>Original data set for the 'A Large Scale Fabrication of Graphene Based Nano-electromechanical Contact<br> Switches With Ultra-low Pull-in Voltage' is uploaded.</p>
Open data for the article "Low-resistivity, high-resolution W-C electrical contacts fabricated by direct-write focused electron beam induced deposition"
<p>Open data for the article "Low-resistivity, high-resolution W-C electrical contacts fabricated by direct-write focused electron beam induced deposition", which will be published in Open Research Europe</p>
Supplementary files for paper: "Design and fabrication of an electrostatic precipitator for infrared spectroscopy" in Atmospheric Measurement Techniques, 2022.
<ol> <li>File of absorbance spectra and hypothetical thickness for each sample.</li> <li>MATLAB function to perform clean crystal spectrum subtraction and baseline correction (described in the paper).</li> </ol>
Weaving the Penelope Fabric. Part I: Starting Borders.
<p>A famous vase from Chiusi depicts Penelope in front of a patterned fabric. The video demonstrates how such a fabric could have been woven on a warp-weighted loom, and presents the technique of combining two starting borders in tablet-weaving. The footage stems from 2009 when Ellen Harlizius-Klück tried out the possibilities of a warp-weighted loom within an exhibition on ancient textile technology in the Clothiers Museum Bramsche (Germany).</p>
Weaving the Penelope Fabric. Part II: Double Weave
<p>A famous vase from Chiusi depicts Penelope in front of a patterned fabric. The video demonstrates how such a fabric could have been woven on a warp-weighted loom and presents the technique of patterned double-weave combined with a tablet-woven starting border extended to the sides of the fabric. The footage stems from 2009 when Ellen Harlizius-Klück prepared the loom for the 140 years anniversary of the Museum for Plaster Casts of Classical Sculptures Munich.</p>
Fabrication and characterization of a multimodal 3D printed mouse phantom for ionoacoustic quality assurance in image-guided pre-clinical proton radiation research
<p>Dataset related to the publication: "Fabrication and characterization of a multimodal 3D printed mouse phantom for ionoacoustic quality assurance in image-guided pre-clinical proton radiation research"</p>
Dataset for Low-loss SiGe waveguides for mid-infrared photonics fabricated on 200 mm wafers
<p>This dataset contains the information contained in Figures 3, 4, 5 of the related manuscript. This research dataset should be interpreted and understood in the context of the corresponding manuscript, which has been published in Optics Express with DOI:10.1364/OE.521925. All relevant information regarding the dataset, how it was obtained and its context is contained in the manuscript. The data correspond to the information shown in the figures of the manuscript. </p> <p>Each file is in .txt format, the decimal separator is a point '.' and the column separator is a tab ';'.</p>
Microscopic images of screen-printed conductive layers on polymer fabrics
<p>The data collection includes data from SEM and optical microscope of screen-printed conductive layers on polymer fabrics (PET and cotton). The results of the work related to the attached data and detailed description of the layer production procedure were published in Rac-Rumijowska, O., Pokryszka, P., Rybicki, T., Suchorska-Woźniak, P., Woźniak, M., Kaczkowska, K., & Karbownik, I. (2024). Influence of Flexible and Textile Substrates on Frequency-Selective Surfaces (FSS). Sensors, 24(5), 1704.</p> <p> </p> <p>Description of the included files:</p> <p><strong><span>PET_Ag_PE672_cross_section_1</span></strong><span> – microscopic image of a cross-section of PET fabric covered with DuPoint PE672 silver paste – sample 1</span></p> <p><strong><span>PET_Ag_PE672_cross_section_2</span></strong><span> – microscopic image of a cross-section of PET fabric covered with DuPoint PE672 silver paste – sample 2</span></p> <p><strong><span>PET_Ag_PE674_cross_section_1</span></strong><span> – microscopic image of a cross-section of PET fabric covered with DuPoint PE674 silver paste – sample 1</span></p> <p><strong><span>PET_Ag_PE674_cross_section_2</span></strong><span> – microscopic image of a cross-section of PET fabric covered with DuPoint PE674 silver paste – sample 2</span></p> <p><span> </span><strong><span>SEM_PET_Ag_1W (1-9)</span></strong><span> – microscopic SEM image of a PET fabric covered with 1 layer of DuPoint PE672 silver paste – image 1-9</span></p> <p><strong><span>SEM_PET_Ag_2W (1-6)</span></strong><span> – microscopic SEM image of a PET fabric covered with 2 layers of DuPoint PE672 silver paste – image 1-6</span></p> <p><strong><span>SEM_PET_Ag_2W (1-6)</span></strong><span> – microscopic SEM image of a PET fabric covered with 3 layers of DuPoint PE672 silver paste – image 1-6</span></p> <p><strong><span>SEM_BAWELNA_Ag_2W (1-6)</span></strong><span> – microscopic SEM image of a cotton fabric covered with 2 layers of DuPoint PE672 silver paste – image 1-6</span></p> <p><strong><span>SEM_BAWELNA_Ag_3W (1-6)</span></strong><span> – microscopic SEM image of a cotton fabric covered with 3 layers of DuPoint PE672 silver paste – image 1-6</span></p> <p><strong><span>SEM_BAWELNA_Ag_4W (1-6)</span></strong><span> – microscopic SEM image of a cotton fabric covered with 4 layers of DuPoint PE672 silver paste – image 1-6</span></p> <p><strong><span>BAWELNA </span></strong><span><span> </span>– microscopic image of a cotton fabric</span></p> <p><strong><span>BAWELNA_Ag_4w (1-3) </span></strong><span><span> </span>– microscopic image of <span> </span>cotton fabric covered with 4 layers DuPoint PE674 silver paste – image 1-3</span></p> <p><strong><span>PET </span></strong><span><span> </span>– microscopic image of a PET fabric</span></p> <p><strong><span>PET_Ag_1W (1-2)</span></strong><span> – microscopic image of a PET fabric covered with 1 layer of DuPoint PE672 silver paste – image 1-2</span></p> <p><strong><span>PET_Ag_2W (1-3)</span></strong><span> – microscopic image of a PET fabric covered with 2 layers of DuPoint PE672 silver paste – image 1-3</span></p> <p><strong><span>PET_Ag_2W (1-2)</span></strong><span> – microscopic image of a PET fabric covered with 3 layers of DuPoint PE672 silver paste – image 1-2</span></p>
Dataset: Gulf Island Fabrication, Inc. (GIFI) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fabrication, Characterization and Evaluation of an Alginate–Lignin Composite for Rare-Earth Elements Recovery
<p>This dataset contains the raw data for the publication "Fabrication, Characterization and Evaluation of an Alginate–Lignin Composite for Rare-Earth Elements Recovery" by Fila et al, published in Materials. The upload includes raw data of physicochemical characterizations of alginate-based composite, i.e. alginate-lignin, including BET, SEM, TG, XPS and XRD analyses. </p>
Combination of 1D, 2D, and 3D molecular descriptors for all the dopant-free HTMs without considering the variability introduced by fabrication methods on PSC efficiency
<p>1D, 2D, and 3D molecular descriptors for all the dopant-free HTMs <strong><span>without considering the variability introduced by fabrication methods on PSC efficiency </span></strong>along with their photovoltaic properties (PCE, JSC, and VOC)</p>
Raw data set: One-Step Fabrication of GeSn Branched Nanowires
<p>This is the raw data set for the publication titled " One-Step Fabrication of GeSn Branched Nanowires" in the journal Chemistry of Materials (<em>Chem. Mater.</em>201931114016-4024). Below is the abstract of the publicaiton.</p> <p>Abstract: We report for the first time the self-catalysed, single step growth of branched GeSn nanostructures by a catalytic vapour-liquid-solid (VLS) mechanism. These typical GeSn nanostructures consist of <111> oriented Sn rich (~8 at. %) GeSn “branches” grown epitaxially on GeSn “trunks”, with a Sn content of ~ 4 at. %. The trunks are seeded from Au<sub>0.80</sub>Ag<sub>0.20</sub> nanoparticles followed by the catalytic growth of secondary branches (diameter ~ 50 nm) from the excess of Sn on the sidewalls of the trunks, as determined by high resolution electron microscopy and energy dispersive X-ray (EDX) analysis. The nanowires, with <111> directed GeSn branches oriented at ~ 70 ° to the trunks, have no apparent defects or change in crystal structure at the trunk-branch interface; structural quality is retained at the interface with epitaxial crystallographic relation. Electrochemical performance of these highly ordered GeSn nanostructures were explored as a potential anode material for Li-ion batteries, due to their high surface to volume ratio and increased charge carrier pathways. The unique structure of branched nanowires led to high specific capacities comparable to, or greater than, conventional Ge nanowire anode materials and Ge<sub>1-<em>x</em>­</sub>Sn<em><sub>x</sub></em><sub>­</sub> nanocrystals.We report for the first time the self-catalysed, single step growth of branched GeSn nanostructures by a catalytic vapour-liquid-solid (VLS) mechanism. These typical GeSn nanostructures consist of <111> oriented Sn rich (~8 at. %) GeSn “branches” grown epitaxially on GeSn “trunks”, with a Sn content of ~ 4 at. %. The trunks are seeded from Au<sub>0.80</sub>Ag<sub>0.20</sub> nanoparticles followed by the catalytic growth of secondary branches (diameter ~ 50 nm) from the excess of Sn on the sidewalls of the trunks, as determined by high resolution electron microscopy and energy dispersive X-ray (EDX) analysis. The nanowires, with <111> directed GeSn branches oriented at ~ 70 ° to the trunks, have no apparent defects or change in crystal structure at the trunk-branch interface; structural quality is retained at the interface with epitaxial crystallographic relation. Electrochemical performance of these highly ordered GeSn nanostructures were explored as a potential anode material for Li-ion batteries, due to their high surface to volume ratio and increased charge carrier pathways. The unique structure of branched nanowires led to high specific capacities comparable to, or greater than, conventional Ge nanowire anode materials and Ge<sub>1-<em>x</em>­</sub>Sn<em><sub>x</sub></em><sub>­</sub> nanocrystals.</p>
Data for [Inverse magnetic susceptibility fabrics in pelagic sediment: Implications for magnetofossil abundance and alignment]
<p>Data for [Inverse magnetic susceptibility fabrics in pelagic sediment: Implications for magnetofossil abundance and alignment]</p>
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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.