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342 results for “fabric”
Urban Fabric Types in Osaka-Kobe Metropolitan Area
<p>This upload provides the processed results of Multiple Fabric Assessment (Araldi and Fusco, 2019) performed on a hyper-urbanized region of 2,500 km<sup>2</sup> in Japan and including Osaka and Kobe municipalities. The scale of analysis are the areas surrounding urban streets at close distance, which are named proximity bands. Outputs are made available using a geospatial vector data format (GeoPackage - WGS 84/UTM zone 53N) in order to be visualized in a geographic information system software. Attribute data contain the Bayesian probability assignment of each proximity band for the nine urban fabric types that have been identified in the Osaka-Kobe metropolitan area, namely, (1) High-rise and discontinuous modern fabric (2) Discontinuous mid-to-high-rise fabric of mixed land use (3-4) Peripheral low-to-mid-rise discontinuous mixed fabric (5) Industrial and logistic techno-fabrics (6) Residential hyper-compact continuous fabric (7) Residential compact continuous fabric (8) suburban planned single-house residential fabric (9) ex-urban irregular fabric with natural spaces. “MostProb” variable provides the higher probability of each proximity band, which is the main output cross analyzed with field observations in Perez <em>et al.,</em> 2019. Results are based upon the processing of morphological indicators calculated using the following datasets: 2013/14 Zmap-TOWN II (ZENRIN Residential Maps) for building coverage and Digital Road Map Database extended version 2015.</p> <p>Perez J., Araldi A., Fusco G., Fuse T. (2019) “The Character of Urban Japan: Overview of Osaka-Kobe’s Cityscapes”, <em>Urban Science</em>, 3(105), pp 1-22. https://www.mdpi.com/2413-8851/3/4/105</p> <p>Araldi A., Fusco G. (2019) “From the built environment along the street to the metropolitan region. Human perspective approach in urban fabric analysis<em>”. Environment and Planning B: Urban Analytics and City Science</em>, 46(7), pp. 1243-1263.</p>
Data of "Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion"
<div> </div> <div> <pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = "Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion", journal = "Additive Manufacturing", pages = " ", year = "2024", issn = "", doi = "https://doi.org/10.1016/j.addma.2024.104382", author = "L. Cobian, E. Maire, J. Adrien, U. Freitas, J.P. Fernandez-Blazquez, M.A. Monclus, J. Segurado"</pre> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 862015</p> </div>
Data for Figure 1 in "High-fidelity and polarization insensitive universal photonic processors fabricated by femtosecond laser writing"
Open the record for dataset details and reuse information.
Fabrication of Spherical Colloidal Supraparticles via Membrane Emulsification
<p>This is the raw data for the manuscript "Fabrication of Spherical Colloidal Supraparticles via Membrane Emulsification".</p> <p>Abstract</p> <p>Colloidal supraparticles are micron-assemblies of primary particles. These supraparticles have potential application in photonic materials, catalysis, gas adsorption and drug delivery. Thus, synthesis of colloidal supraparticles with a narrow size distribution and high yield has become essential for their application in different fields of science and technology. Here, we demonstrate membrane emulsification as a high-throughput approach for fabricating spherical supraparticles with narrow size distribution and control over particle size and crystallinity. Spherical supraparticles with well-ordered surface structures are synthesized by generating emulsion droplets of an aqueous colloidal dispersion in fluorocarbon oil using a Shirasu Porous Glass membrane, followed by the consolidation of particles through water removal within the emulsion. We systematically investigate process parameters, including the flow rate of particle dispersion, particle concentration, and average pore diameter of the membrane on the mean size and size distribution of the supraparticles, revealing key factors governing supraparticle properties and production throughput. Comparative evaluation with commonly employed methods highlights the advantage of membrane emulsification, which combines well-defined internal structure and controlled supraparticle sizes with comparably high yields in the order of tens of grams per day. Importantly, in contrast to widely-used droplet-based microfluidics, membrane emulsification allows fabrication of supraparticles in non-fluorinated oil. Overall, membrane emulsification offers a simple yet versatile method for fabricating colloidal supraparticles with high quality and yield and may serve as a bridge between existing high-precision techniques such as droplet-based microfluidics and high-throughput processes with less control such as spray drying</p> <p>All data are sorted according to thier appearance in the figures of the main manuscript and the supporting infomation. All the plots data are stored as .xlsx format and content of the column can be found in the headlines, while data shown in the figures is marked in yellow. All the optical microscopy images are stored in .tif format and the file name includes scale bar value. </p> <p>DOI journal article: </p>
Dataset for the publicaion "Cleaning strategies for 3D-printed porous scaffolds used for bone regeneration fabricated via ceramic vat photopolymerization"
<p>Dataset of publicaion "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">https://doi.org/10.1016/j.ceramint.2024.10.160</a></p> <p>Dataset includes results of TGA analysis, viscosity measurements and mechnaical properties. </p>
Influence of feature size and shape on corrosion of 316L lattice structures fabricated by laser powder bed fusion
<p><strong>An open dataset for the paper with the same title: "<em>Influence of feature size and shape on corrosion of 316L lattice structures fabricated by laser powder bed fusion</em>". </strong></p> <p><strong>The dataset contains, for example, 3D models, original and analyzed microCT data, video visualizations, tensile testing .csv files, microscopy images, and code resources. Selected works are presented as part of the paper.</strong></p> <p><strong>Abstract:</strong></p> <p><em>Laser powder bed fusion (LPBF) has become an established method for manufacturing end-use metal components. Exploiting the geometric freedom of additive manufacturing (AM) offers broad possibilities for part optimization and enables performance enhancements across industry sectors. However, part shape and feature size have been found to locally affect residual stresses, melt pool cooling rates, microstructure, and thus the mechanical properties of </em><em>components. Even though the mesoscale structure can locally induce microstructural changes, there are no prior studies on how it influences corrosion. </em><em>Using AM-produced, optimized parts in critical applications necessitates a better understanding of their long-term performance. In this study, lattice structures were used to probe the influence of feature size and shape on corrosion susceptibility and its spatial localization.</em></p> <p><em>The susceptibility of submillimeter LPBF-fabricated 316L stainless steel </em><em>lattice structures to corrosion was investigated by conducting a 21-day immersion corrosion test in an aqueous 3.5wt% NaCl solution. Schoen gyroid and Schwarz </em><em>diamond triply periodic minimal surface lattices were manufactured with three unit cell sizes and wall thicknesses (0.867, 0.515, and 0.323 mm). The nominal surface and cross-sectional areas were the same for the two geometries. X-ray microcomputed tomography (microCT) scans before and after the corrosion test were compared for volumetric losses. <em>In addition, the </em>mechanical properties and microstructure of the samples were evaluated.</em></p> <p><em>As part of the study, a workflow to register, index, and analyze volumetric changes of consecutive microCT image stacks was developed. The method is fully reported and applicable to time-lapse studies with microCT. Three out of five of the 0.323 mm wall thickness lattices displayed visually aggressive pitting. Based on the microcomputed tomography data, the mass losses were localized either in the entrapped powder particles or partially melted surface globules. Corrosion did not occur in the dense base material. The total mass losses ranged from 8 to 19 mg. Despite visual indications to support a higher corrosion susceptibility for the smallest lattice sizes, the mass loss values did not confirm this conclusion. The tensile test results did not provide any clear indications of latent corrosion effects on mechanical properties.</em></p> <p> </p> <p><em>Version 1.1: 'Microstructure.zip' was revised. Metallographic preparation and Beraha II etching was redone for selected samples. New images and grain size (and grain distribution) measurements were added.</em></p> <p><em>Version 1.2: 'CT_Data_Heatmap_example.zip' was added. </em></p>
TSlam-marking-mapping-fabrication-recording
<p>The dataset contains the camera recordings with timestamps for evaluating the TSlam system developed at IBOIS.</p> <p>The camera recordings cover 3 phases of TSlam evaluation:</p> <p>- marking by hand</p> <p>- application of tslam tags</p> <p>- mapping of tslam tags</p>
Figure 6 in Recovery of Dermatophagoides pteronyssinus (Acariformes: Astigmata: Pyroglyphidae) is influenced by vacuuming protocol, fabric type and the viability of dust mites
Figure 6 Scanning electron microscope for mites on fabrics: A – Cotton – LM (A1), DM (A2); B – Denim – LM (B1), DM (B2); C – Fleece - LM (C1), DM (C2).
Figure 3 in Recovery of Dermatophagoides pteronyssinus (Acariformes: Astigmata: Pyroglyphidae) is influenced by vacuuming protocol, fabric type and the viability of dust mites
Figure 3 Mean number of LM (Live Mites), DM (Dead Mites) and EM (Euthanized Mites post fabric seeding) recovered according to each treatment applied irrespective of fabric type and duration of vacuuming. ∆ Mean value, and the central line in boxes represents median value of recovered mites.
Figure 5 in Recovery of Dermatophagoides pteronyssinus (Acariformes: Astigmata: Pyroglyphidae) is influenced by vacuuming protocol, fabric type and the viability of dust mites
Figure 5 Scanning Electron Microscope image of the weave structure for fabrics used in this study. A – Cotton; B – Denim; C – Fleece.
Figure 4 in Recovery of Dermatophagoides pteronyssinus (Acariformes: Astigmata: Pyroglyphidae) is influenced by vacuuming protocol, fabric type and the viability of dust mites
Figure 4 Mean number of LM (Live Mites), DM (Dead Mites) and EM (Euthanized Mites post fabric seeding) recovered from each fabric type according to duration of sampling irrespective of fabric type and vacuuming protocol applied. "*", "**" represent values for outliers (observations outside the interquartile range), ∆ Mean value. The central line in boxes represents median value of recovered mites.
Figure 2 in Recovery of Dermatophagoides pteronyssinus (Acariformes: Astigmata: Pyroglyphidae) is influenced by vacuuming protocol, fabric type and the viability of dust mites
Figure 2 Mean number of LM (Live Mites), DM (Dead Mites) and EM (Mites euthanized post fabric seeding) recovered from each fabric type irrespective of the vacuuming protocol used and duration of vacuuming. "*", "**" represent values for outliers (outliers are observations outside the interquartile range), ∆ Mean value, and the central line in boxes represents median of recovered mites.
Dataset for "Light and Mass Transport Computations Guide the Fabrication of 3D-Structured TiO2 and Au/TiO2 Aerogel Photocatalysts for Efficient Hydrogen Production in the Gas Phase"
<p>This dataset is related to "Light and Mass Transport Computations Guide the Fabrication of 3D-Structured TiO<sub>2</sub> and Au/TiO<sub>2</sub> Aerogel Photocatalysts for Efficient Hydrogen Production in the Gas Phase" published in <em> Chemistry of Materials</em> <strong>2023</strong> <em>35</em> (10), 3849-3858.</p> <p>Each file contains the dataset for the respective Figure.</p> <p><strong>File 'Figure 1': </strong>Optical Photograph and SEM images of a 3D printed TiO<sub>2</sub> aerogel.</p> <p><strong>File 'Figure 2': </strong>The subdirectory <em>'absorbed'</em> contains data for the calculation of the light absorption of unstructured, sc-structured, and fcc-structured aerogels. A more detailed description is presented in the <em>'readme</em>' file. The subdirectory <em>'flux_time_resolved'</em> contains data for the calculation of the time-resolved flux in a fcc-structured aerogel. A more detailed description is presented in the readme file.</p> <p><strong>File 'Figure 3': </strong>Measured and calculated data of the pressure drop of unstructured, sc-structured, and fcc-structured aerogels. Images of the velocity profile. Images of simulated velocity profiles of an sc-structured aerogel without and with a surrounding wall. The simulations were performed in COMSOL.</p> <p><strong>File 'Figure 4': </strong>Data of the hydrogen evolution experiments.</p> <p><strong>File 'Figure SI1 and Table SI1': </strong>Data of nitrogen physisorption experiments. <em>'Figure_SI1-sample-identification'</em> contains a list to assign the dataset to the respective subfigures in Figure SI1. <em>'Table_SI1-sample-identification' </em>contains a list to assign the dataset to the respective entry in Table SI1.</p> <p><strong>File 'Figure SI2': </strong>Data of the hydrogen evolution experiments with a gas stream containing pure water and a water/methanol mixture, respectively.</p> <p><strong>File 'Figure SI3': </strong>Data of the UV cleaning experiment.</p> <p><strong>File 'Figure SI4': </strong>Chromatograms recorded during hydrogen evolution experiments to discuss the formation of side products.</p> <p><strong>File 'Figure SI5':</strong> Data of two consecutive hydrogen evolution experiments.</p> <p><strong>File 'Figure SI6': </strong>Data of the hydrogen evolution experiments for an fcc-structured and sc-structured TiO<sub>2</sub> aerogel of similar light absorption. Image of a simulated velocity profiles for an unstructured aerogel. The simulation were performed in COMSOL.</p> <p><strong>File 'Figure SI7': </strong>Data of an hydrogen evolution experiments of an fcc-structured TiO<sub>2</sub> aerogel for flow rates in a range of 1.25 to 20 mL min<sup>-1</sup>.</p> <p><strong>File 'Figure SI8': </strong>TEM/STEM images including EDX mapping of an Au/TiO<sub>2</sub> aerogel fragment.</p> <p><strong>File 'Figure SI9': </strong>Data of the hydrogen evolution, the irradiance of the LED, and the amount of water and methanol.</p> <p><strong>File 'Figure SI10': </strong>Attenuated total reflection infrared spectra of TiO<sub>2</sub> nanoparticle powder and aerogel after UV cleaning.</p> <p><strong>File 'Figure SI11': </strong>XRD pattern of TiO<sub>2</sub> nanoparticles and a reference of anatase TiO<sub>2</sub>.</p> <p><strong>File 'Figure SI12': </strong>Data of hydrogen evoltion for TiO<sub>2</sub> nanoparticle powders.</p> <p><strong>File 'Figure SI13': </strong>Transmission and reflectance spectra of a TiO<sub>2</sub> aerogel.</p> <p><strong>File 'Figure SI14': </strong>Calculated transmission and reflectance for an optical thickness and a scattering albedo in a range of 0 to 5 and 0 to 1, respectively. The data was calculated by solving the radiative transfer equation, as implemented in the DISORT algorithm. A more detailed description of the calculation and data processing is provided in the <em>'readme'</em> file. The code of the DISORT algorithm is provided in the <em>'DISORT'</em> subdirectory.</p> <p><strong>File 'Figure SI16': </strong>Data of the derived absorption and scattering coefficient.</p> <p><strong>File 'Figure SI17': </strong>Data of the light absorption and the scattering coefficient. The <em>'readme'</em> file contains a description of the data processing for the light absorption dataset.</p>
Microclimatic data trials for various fabrics
Data from lab trials examining various microclimatic parameters such as humidity, light intensity, and temperature under various fabrics such as nursery, canvas, and burlap. Data was collected using pendant loggers.
Fig. 3 in A new and improved electric fish finder with resources for printed circuit board fabrication
Fig. 3. Internal view of electric fish finder.
Bipolar device fabrication using a scanning tunnelling microscope
<p>Hydrogen resist lithography with the tip of a scanning tunneling microscope (STM) can be used to fabricate atomic-scale dopant devices in silicon substrates and could potentially be used to build a dopant-based quantum computer. However, all devices fabricated so far have been based on the n-type dopant precursor phosphine. Here, we show that diborane can be used as p-type dopant precursor, allowing p-type and bipolar dopant devices to be created. Characterisation of diborane <span class="math-tex">\(\delta\)</span>-layers reveals that similar mobilities and densities can be achieved as for phosphine, with sheet resistivities as low as 300 <span class="math-tex">\(\Omega\)</span>. STM imaging and transport measurements of a 5.5 nm-wide p-type dopant nanowire give an estimated upper bound of 2 nm for the lithographic resolution of the p-type dopant profiles.<br> By combining our p-type doping approach with established phosphine-based n-type doping, we fabricate a 100 nm wide pn-junction and show that its electrical behaviour is similar to that of an Esaki diode.</p>
Kunzing mail fabric: 3D reconstruction
The 3D model presents a digital reconstruction of archaeological mail fabric. To create 3D models of the rings, we used polygonal modelling functions of Blender software. In order to record the relevant measurements of the mail rings, we used a list of parameters. This list includes 11 parameters for a riveted ring and four parameters for a solid ring. The accuracy of the digital replicas of the rings was 0.01 mm. The authors of the reconstructions are Aleksei Moskvin (Saint Petersburg State University of Industrial Technologies and Design) https://independent.academia.edu/AlekseiMoskvin Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design) https://independent.academia.edu/MariiaMoskvina and Martijn A. Wijnhoven (VU University Amsterdam) https://vu-nl.academia.edu/MartijnAWijnhoven Source: Objaverse 1.0 / Sketchfab
Carlingwark Loch mail fabric: 3D reconstruction
The 3D model presents a digital reconstruction of archaeological mail fabric from Carlingwark Loch (The National Museum of Scotland, inv. no. X.DV 2 (1866), https://sketchfab.com/nationalmuseumsscotland). To create 3D models of the rings, we used polygonal modelling functions of Blender software. In order to record the relevant measurements of the mail rings, we used a list of parameters. This list includes 11 parameters for a riveted ring and four parameters for a solid ring. The accuracy of the digital replicas of the rings was 0.01 mm. The authors of the reconstructions are Aleksei Moskvin (Saint Petersburg State University of Industrial Technologies and Design) https://independent.academia.edu/AlekseiMoskvin Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design) https://independent.academia.edu/MariiaMoskvina and Martijn A. Wijnhoven (VU University Amsterdam) https://vu-nl.academia.edu/MartijnAWijnhoven DOI: https://doi.org/10.13140/RG.2.2.27393.99680 Source: Objaverse 1.0 / Sketchfab
Transcripts of 28 interviews with researchers who fabricated data for an experiment
<p>For an experiment we recently conducted, we asked researchers to fabricate data for a Stroop experiment. The purpose of this experiment was to test whether we could use statistics to discern the fabricated data from genuine data we collected from Many Labs 3. We also interviewed the researchers about how they fabricated data, in order to learn how researchers actually fabricate data. We share these transcripts here for maximum reuse under a CC 0 license.</p> <p> </p>
Data for: Fabrication and characterization of antibacterial coatings using an amphoteric condensed tannin,Tanfloc
<p>This dataset presents comprehensive information on the development and characterization of antibacterial polyelectrolyte multilayer (PEM) coatings incorporating tanfloc, a plant-derived condensed tannin polymer with inherent antimicrobial properties. The dataset encompasses experimental data related to the fabrication of PEMs using tanfloc as either a polyanion or a polycation, expanding the versatility of this amphoteric polymer in PEM coatings. Typically, PEMs are formed by combining a polycation and a polyanion with complementary ionic groups. However, the unique amphoteric nature of tanfloc allows for the creation of PEMs utilizing only one of its functional groups, leaving the other functional group available for imparting antibacterial activity.</p> <p>The dataset includes details on the assembly of tanfloc-containing PEMs employing various counter-polyelectrolytes, including three poly-anionic glycosaminoglycans with varying charge densities, as well as the polycations N,N,N-trimethyl chitosan and polyethylenimine. The layer-by-layer assembly of PEMs is monitored using in situ Fourier-transform surface plasmon resonance (FT-SPR), confirming stable layer-by-layer construction. Surface chemistry is assessed through X-ray photoelectron spectroscopy (XPS).</p> <p>Furthermore, this dataset provides insights into the biocompatibility of tanfloc-containing PEMs, demonstrating their support for mammalian cells. Most notably, the dataset includes extensive data on the antiadhesive and antibacterial properties of these coatings against common implant-associated pathogens, such as <em>Staphylococcus aureus</em> and <em>Pseudomonas aeruginosa</em>. The antibacterial effects observed are attributed to electrostatic interactions and the polyphenolic nature of tanfloc.</p>
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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.