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342 results for “fabric”
Fabrication of Hydrogel Mini-Capsules as Carrier Systems - Extended data
<p>This folder contains the Extended Data to the paper "Fabrication of Hydrogel Mini-Capsules as Carrier Systems".</p> <ul> <li>ChargedCapsuleCaCO3.gif (time-lapse of an hydrogel capsule filled with CaCO3 to show the nature of the core through the release of the particles)</li> <li>ChargedCapsuleSiO2.jpg (image of an hydrogel capsule loaded with SiO2 microparticles)</li> <li>ChargedCapsuleSiO2_core.wmv (video of the particle in the picture "ChargedCapsuleSiO2.jpg" after shell dissolution)</li> <li>TutorialBeadsFabrication.mov (video tutorial showing how the fabrication of the core-shell hydrogel capsules is realized)</li> <li>TimelapseCapsuleDyeReleased.png (r<span>elease of a green dye from one capsule monitored over 30 minutes)</span></li> <li><span><span>CapsuleInsideSiliconeTube.mov (video of the capsule passing through the silicone tube)</span></span></li> <li><span>LowMeltAgaroseCapsule.png (images of a core-shell capsule fabricated using low-melting agarose)</span></li> </ul>
Phytochemical Screening, Antioxidant and Antimicrobial Activity of Fabric Coated with Catharanthus Roseus Ethanolic Flowers Extract
<p>The aim of the present study was to evaluate the free radical scavenging and antimicrobial activity of fabric coated of the Catharanthus Roseus. Ethanol flowers extract. Free radical scavenging was determined by using 1, 1-diphenyl-2-picrylhydrazyl (DPPH), Reducing power, Hydroxyl radical scavenging assay and antimicrobial activity of Staphylococcus aureus, Escherichia coli and standard drug of Streptomycin using disc diffusion method. This inhibition was observed with the individual extracts and when they were used in lower concentrations with ineffective antibiotics. The present investigation clearly indicates that the Catharanthus Roseus possesses antioxidant properties and serve as free radical inhibitors or scavengers, acting possibly as primary antioxidants.</p><p>Keywords</p><p>Catharanthus Roseus, Fabric coated, DPPH, Staphylococcus aureus Escherichia coli, Streptomycin, Antioxidant,</p>
Data for a publication "Exploring the microstructure, mechanical properties, and corrosion resistance of innovative bioabsorbable Zn-Mg-(Si) alloys fabricated via powder metallurgy techniques"
<p><span><span>These data are published as part of the paper: “</span><span>Exploring the microst</span><span>ructure, mechanical properties, </span><span>and corrosion resistance of innovative bioabsorbable Zn-Mg-(S</span><span>i) alloys fabricated via powder </span><span>metallurgy techniques</span><span>” published in journal: “</span><span>Journal of Materials Research and Technology</span><span>”.</span></span><span> </span></p>
Dense Urban Fabric (Comune di Napoli)
<p>Urban Atlas based data subset, where every element with CODES 11100 and 11210 were extracted as dense urban fabric elements with the next information:</p> <p>gid integer area numeric perimeter numeric geom geometry(Polygon,EPSG:3035), albedo real emissivity real transmissivity real run_off_coefficient real context real fua_tunnel real</p> <p>This data is an input for local effects calculation.</p>
Low Urban Fabric (Comune di Napoli)
<p>Urban Atlas based data subset, where every element with CODES 11230, 11240, 11300 were extracted as low urban fabric elements with the next information:</p> <p>gid integer area numeric perimeter numeric geom geometry(Polygon,EPSG:3035) albedo real emissivity real transmissivity real run_off_coefficient real context real fua_tunnel real</p> <p>This data is an input for local effects calculation.</p>
Medium Urban Fabric (Comune di Napoli)
<p>Urban Atlas based data subset, where every element with CODE 11220 was extracted as medium urban fabric elements with the next information:</p> <p>gid integer area numeric perimeter numeric geom geometry(Polygon,EPSG:3035) albedo real emissivity real transmissivity real run_off_coefficient real context real fua_tunnel real</p> <p>This data is an input for local effects calculation.</p>
The Archaeological Ceramics from Mahurjhari: the Fabric Groups
<p>A descriptive and illustrated list of the fabric groups identified and defined during the analysis of archaeological ceramics in the excavated assmeblage from the site at Mahurjhari, excavated by the Deccan College, Pune 2000-2003.</p>
The role of etching anisotropy in the fabrication of freestanding oxide microstructures on SrTiO3(001), SrTiO3 (110), and SrTiO3 (111) substrates
<p>Datafiles for the Figures and Supplementary Material of the article "The role of etching anisotropy in the fabrication of freestanding oxide microstructures on SrTiO3(001), SrTiO3 (110), and SrTiO3 (111) substrates" published in Applied Physics Letters by Alejandro E. Plaza et al. (2021)</p>
Analogue models testing the interaction between a propagating continental rift and inherited crustal fabrics
<p>This dataset presents the results of an experimental series of analogue models performed to investigate the interaction between a propagating continental rift and inherited crustal fabrics. Our experimental series was designed adopting a parametric approach, which consisted in the systematic variation of the orientation of various kinds of brittle discontinuities (e.g., faults, fractures, foliations, etc.). Structures of models have been analysed quantitatively by means of photogrammetric digital elevation model reconstruction and semi-automatic fault pattern quantification. In this dataset, we show the row data and specific elaborations supporting the interpretation of results.</p>
Numerical simulations of AZO/ZnGeO/Cu2O solar cells: Impact of the germanium composition of the buffer layer and the use of low cost fabrication on the photovoltaic performances
<p>The dataset contains the results of the numerical simulations of AZO/ZnGeO/Cu2O solar cell models.</p> <p>The physical parameters of the model are chosen with special care to match literature experimental measurements or are interpolated using the values from binary metal oxides in the case of the new ZnGeO compound. The solar cell structure includes an interface and a defective layer at the ZnGeO/Cu2O heterojunction.</p> <p>The AZO/ZnGeO/Cu2O model results reproduce the photovoltaic characteristics of experimental devices presented by Minami et al. (Applied Physics Express 9, 052301 (2016) DOI:10.7567/APEX.9.052301)</p> <p>The dataset also includes results using models with different germanium compositions for the ZnGeO buffer layer.</p> <p>Other solar cell simulation results are presented to model the impact of low cost fabrication processes, such as spray pyrolysis, by varying the thickness, doping concentration, carrier mobilities and defect concentration of the Cu2O absorber layer as well as the germanium composition of the buffer layer.</p>
Fabrication of Hydrogel Mini-Capsules as Carrier Systems - Underlying data
<p>This dataset contains the Underlying Data to the paper "Fabrication of Hydrogel Mini-Capsules as Carrier Systems".</p> <ul> <li><span lang="EN-GB">images (folder containing the set of images used for the data analysis)</span></li> <li><span lang="EN-GB">microscopy_measurments.csv (measurements acquired with the microscope software)</span></li> <li><span lang="EN-GB">Software_ThicknessAnalysis.jl (</span>main script for reproducing the data analysis<span lang="EN-GB">)</span></li> <li><span lang="EN-GB">Functions_ThicknessAnalysis.jl (</span>collection of functions for the data analysis<span lang="EN-GB">)</span></li> <li><span lang="EN-GB">Manifest.toml and Project.toml (computational environment files)</span></li> <li><span lang="EN-GB">_init_.jl (utility script for reproducing the computational environment)</span></li> <li><span lang="EN-GB">README.md</span></li> </ul>
Fabrication of a Soft Robotic Gripper With Integrated Strain Sensing Elements Using Multi-Material Additive Manufacturing
<p>With the purpose of making soft robotic structures with embedded sensors, additive manufacturing techniques like fused deposition modeling (FDM) are popular. Thermoplastic polyurethane (TPU) filaments, with and without conductive fillers, are now commercially available. However, conventional FDM still has some limitations because of the marginal compatibility with soft materials. Material selection criteria for the available material options for FDM have not been established. In this study, an open-source soft robotic gripper design has been used to evaluate the FDM printing of TPU structures with integrated strain sensing elements in order to provide some guidelines for the material selection when an elastomer and a soft piezoresistive sensor are combined. Such soft grippers, with integrated strain sensing elements, were successfully printed using a multi-material FDM 3D printer. Characterization of the integrated piezoresistive sensor function, using dynamic tensile testing, revealed that the sensors exhibited good linearity up to 30% strain, which was sufficient for the deformation range of the selected gripper structure. Grippers produced using four different TPU materials were used to investigate the effect of the Shore hardness of the TPU on the piezoresistive sensor properties. The results indicated that the <em>in situ</em> printed strain sensing elements on the soft gripper were able to detect the deformation of the structure when the tentacles of the gripper were open or closed. The sensor signal could differentiate between the picking of small or big objects and when an obstacle prevented the tentacles from opening. Interestingly, the sensors embedded in the tentacles exhibited good reproducibility and linearity, and the sensitivity of the sensor response changed with the Shore hardness of the gripper. Correlation between TPU Shore hardness, used for the gripper body and sensitivity of the integrated <em>in situ</em> strain sensing elements, showed that material selection affects the sensor signal significantly.</p>
Rapid Fabrication of Membrane-IntegratedThermoplastic Elastomer Microfluidic Devices
<p>Txt files contain experimental data sets used to obtain the results of Fig. 3 and 4 and the OB1 code. Data files for Fig 3. are named GapSize_membraneConfiguration_#_delaminationPressure and data files for Fig 4. Are named agingTime_membraneConfiguration_incubationCondition_#.</p>
Photometric stereo data of non-crimp fabric boundaries
<p><strong>DATA DESCRIPTION</strong></p> <p>This data set was acquired in the context of EU project ZAero. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 721362. Project duration: 2016/10/01 - 2019/09/30. This data set contains a set of 68 HDF5 files from two different example surface patches of NCF carbon fiber fabrics.</p> <p>For more information about the HDF5 format, please visit the HDF5 Group website:<br> https://www.hdfgroup.org/solutions/hdf5/</p> <p>Each file contains data from a photometric stereo vision system [1]. The data set is intended for evaluation of methods for carbon fiber fabric edge detection [2].</p> <p>Each file contains a single 3-dimensional (W x H x L) array 'raw' with:<br> H...height of the images<br> W...width of the images<br> L...number of images with different light sources (L = 8)</p> <p>An example for loading and visualizing the data in Python comes with this data set:<br> readDataExample.py</p> <p><br> <strong>REFERENCES</strong></p> <p>[1]<br> @inproceedings{Palfinger2011, <br> author = {Palfinger, Werner and Thumfart, Stefan and Eitzinger, Christian},<br> title = {Photometric stereo on carbon fiber surfaces},<br> booktitle = {35th Workshop of the Austrian Association for Pattern Recognition},<br> year = {2011}<br> }</p> <p>[2]<br> @inproceedings{Zambal2019,<br> author = {Zambal, Sebastian and Heindl, Christoph and Eitzinger, Christian}<br> title = {Probabilistic Modelling combined with a CNN for boundary detection of carbon fiber fabrics},<br> booktitle = {IEEE International Conference on Industrial Informatics (INDIN)}<br> year = {2019}<br> }</p> <p> </p> <p> </p>
Set of images published in publication "Cleaning strategies for 3D-printed porous scaffolds used for bone regeneration fabricated via ceramic vat photopolymerization"
<p>Figures of publication "Cleaning strategies for 3D-printed porous scaffolds used for bone regeneration fabricated via ceramic vat photopolymerization".</p> <p><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.ceramint.2024.10.160" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.ceramint.2024.10.160</span></span></a></p>
Dataset for: Modelling the filtration efficiency of a woven fabric: The role of multiple lengthscales
<p>This is data for: "Modelling the filtration efficiency of a woven fabric: The role of multiple lengthscales", on <a href="https://arxiv.org/abs/2110.02856">arXiv</a></p> <p>Files are (this is also in README file):</p> <p>1) FinalFused.tif : stack of slices taken with confocal at Bristol by Ioatzin Rios de Anda. This is the imaging data of the fabric used</p> <p>2) processDataTo3D_PAPER.py : Python code to analyse 1) to produce mask of fibre voxels needed for LB simulation, by Jake Wilkins</p> <p>3) LBregionstack.tiff : image stack for region in LB simulations</p> <p>4) masknx330ny280nz462_t10.txt : mask in right format to be read in to Palabos LB code to specify which voxels are fibre and so need bounce-back</p> <p>5) Ioatzin3D.cpp : C++ code for Palabos LB. NB need Palabos LB code: https://palabos.unige.ch/, should go in directory "~/palabos-v2.2.0/examples/Ioatzin/3D<br> ". Needs 4)</p> <p>6) make_pkl.py : converts output of LB code into Python pickled format for .py codes below.</p> <p>7) IoatzinDarcy_pkl.py : takes pickled output of LB code and computes Darcy k etc</p> <p>8) traj2_pkledge.py : computes trajectories of particles and so filtration efficiency, needs pickled output of LBC code and 9)</p> <p>9) lattice_params.yaml : parameter values for 7) and 8)</p> <p>10) eff_filter_edges.txt : filtration efficiencies computed by 8) WITH inertia</p> <p>11) eff_filter0Stokes.txt : filtration efficiencies computed by 8) WITHOUT inertia</p> <p>12) plot_filtration.py : plots 10) and 11)</p> <p>13) Final_render.mp4 : rotating animation showing region simulated by LB code, by Jake Wilkins</p> <p>14) alpha_ofz.txt : alpha - fraction of fibres voxels as function of z</p> <p>15) plot_justalpha.py : plots 14)</p> <p>16) vtk01.vti : flow field velocity field in vti format - as used by Paraview</p> <p>17) vel3D.pkl : flow field velocity field in Python's pkl format</p> <p>18) slice_heatmap.py : produces heatmap of velocities in xy slice through the flow field</p> <p>19) plot_sigma_streamlines.py : plots Sigma (curvature lengthscale) from 20), 21), 22), 23)</p> <p>20) stream4.txt: streamline for flow field</p> <p>21) stream5.txt: streamline for flow field</p> <p>22) stream6.txt: streamline for flow field</p> <p>23) stream7.txt: streamline for flow field</p> <p>24) plot_Stokes.py : plots Stokes number as function of particle diameter</p> <p>25) 0traj20.0_47.xyz : trajectory in format that Paraview can read</p> <p>26) intraj20.0_47.xyz : another trajectory</p> <p>27) streamlines_pkl.py : calculates streamlines, eg 20), 21), 22) and 23) </p> <p>28) this README file</p> <p>Abstract of that work:</p> <p>During the COVID-19 pandemic, many millions have worn masks made of woven fabric, to reduce the risk of transmission of COVID-19. Masks are essentially air filters worn on the face, that should filter out as many of the dangerous particles as possible. Here the dangerous particles are the droplets containing virus that are exhaled by an infected person. Woven fabric is unlike the material used in standard air filters. Woven fabric consists of fibres twisted together into yarns that are then woven into fabric. There are therefore two lengthscales: the diameters of: (i) the fibre and (ii) the yarn. Standard air filters have only (i). To understand how woven fabrics filter, we have used confocal microscopy to take three dimensional images of woven fabric. We then used the image to perform Lattice Boltzmann simulations of the air flow through fabric. With this flow field we calculated the filtration efficiency for particles around a micrometre in diameter. We find that for particles in this size range, filtration efficiency is low ($\sim 10\%$) but increases with increasing particle size. These efficiencies are comparable to measurements made for fabrics. The low efficiency is due to most of the air flow being channeled through relatively large (tens of micrometres across) inter-yarn pores. So we conclude that our sampled fabric is expected to filter poorly due to the hierarchical structure of woven fabrics.</p>
Dataset 1 - Fabrication of POFBG sensors
<p>The data demonstrate the methodology to fabricate Polymer Optical Fiber Bragg Grating sensors using the plane-by-plane femtosecond laser inscription method.</p>
Plasma etching for fabrication of complex nanophotonic lasers from bonded InP semiconductor layers
<p>Integrating optically active III-V materials on silicon/insulator platforms is one potential path towards improving the energy efficiency and performance of modern computing. Here we demonstrate the applicability of direct wafer bonding combined with plasma etching to the fabrication of complex nanophotonic systems out of InP layers. We explore and optimise the plasma etching of InP, validating existing processes and developing improved ones. We explore the use of microdisk lasing as a way to evaluate fabrication fidelity, and demonstrate that we can create complex lasing systems of interest to us: coupled disk cavities and random network lasers.</p> <p><strong>This repository contains data used to generate figures in <a href="https://doi.org/10.1016/j.mne.2023.100196">https://doi.org/10.1016/j.mne.2023.100196</a>.</strong></p>
Fig. 5 in A new and improved electric fish finder with resources for printed circuit board fabrication
Fig. 5. Design schematic for electric fish finder enclosure. Grey arrows show distances from edges to the center of drill holes/ objects. Grey dotted circles represent drill holes. The sealing washer marked with an asterisk has no waterproofing function and is used instead to trap the exposed terminal of a wire from the channel ground against the internal metal surface of the enclosure (see CHGND in Fig. 2).
Ancient Greek Literature for Advanced Data Processing: A Text Fabric Representation of Open Access Texts in TEI XML
<p>This data set contains a full conversion of Greek texts available in the Perseus Digital Library and the Open Greek and Latin Project to the Text Fabric data format. The main advantage of the Text Fabric datatype over the original TEI XML format is that it utilizes a strict separation of text and annotation in a flat data structure. At the same time, it permits multiple distinct formats of the same text as well as an unlimited depth of (embedded) annotations. Because of its flat data structure, it facilitates easy and clean procedures to analyze, transform, and enrich the available data. Many of these processes are very difficult to conduct while departing from the hierarchically organized XML tree representation.</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.