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1,162 results for “fiber”
Local fiber volume and orientation coefficient of UHPFRC inside specimens SF-1 to 10
<p>This document contains digital version of Figures 6 and 7 in the journal paper titled "High cycle tensile fatigue behavior of steel rebar reinforced - UHPFRC at high R-ratio".</p>
Electrospun Fiber Experimental Attributes Dataset (FEAD)
<p>Understanding the intricate relationships between the structure and properties of electrospun PVDF fibers is crucial for designing effective devices. However, the complexity of these relationships makes them challenging to model through traditional trial-and-error experiments. Machine learning has emerged as a powerful tool for modeling multidimensional relationships, but it requires a diverse and high-quality training dataset to effectively learn these intricate connections.</p> <p>To comprehensively investigate the intricate relationships between the structure and properties of electrospun PVDF fibers, a high-quality training dataset is imperative, encompassing a wide array of experimental conditions. There is no single comprehensive source that provides a holistic understanding of how the various parameters impact the PVDF fiber properties. Existing studies predominantly present results from a limited range of parameter variations, necessitating the creation of a meta dataset for robust insights. In response to this gap, we introduce the "Electrospun Fiber Experimental Attributes Dataset (FEAD)," a meticulously curated compilation that collates data from diverse literature sources and complements with our own experimental findings and computations.</p> <p>FEAD comprises a total of 745 data points sourced from 52 distinct references. This dataset encapsulates a broad spectrum of solvents and solvent systems, including DMAC, DMF, DMAC/Acetone, DMSO/Acetone, DMF/Acetone, NMP/Acetone, among others. While certain parameters such as polymer concentration, solvent ratio, feed rate, and applied voltage were directly extracted from the literature, other critical factors like solubility parameters, interaction radii, and RED were computed.</p> <p>Experiments involving the use of surfactants and electrolytes to alter polymer viscosity and electrical conductivity are not included in the dataset. This exclusion ensures a focus on understanding the genuine impact of polymer concentration and solubility factors on the resulting fibers. The development of this novel materials database is an ongoing effort, and we anticipate its continual improvement over time as more datapoints are incorporated.</p>
Dataset of numerical model for enhancing stimulated Brillouin scattering in optical fibers
<p>Stimulated Brillouin scattering (SBS) is useful, among others for generating slow light, sensing and amplification. SBS was previously viewed as a penalty due to the limitation on optical power in high-powered photonic applications. However, considering the many possible applications using SBS, it is now of interest to enhance SBS in areas of Brillouin frequency shift together with Brillouin Gain. A numerical model, using a fully vectorial approach, by employing the finite element method, was developed to investigate methods for enhancing SBS in optical fiber. This paper describes the method related to the numerical model and discusses the analysis between the interactions of horizontal, shear and hybrid acoustic modes; and optical modes in optical fiber. Two case studies were used to demonstrate this. Based on this numerical model, we report the influence of core radius, clad radius and effective refractive index on the Brillouin frequency shift and gain. We observe the difference of Brillouin shift frequency between a normal silica optical fiber and that of a tapered fiber where nonlinearities are higher. Also observed, the different core radii used and their respective Brillouin shift. For future work, the COMSOL model can also be used for the following areas of research, including simulating "surface Brillouin shift" and also to provide in-sights to the Brillouin shift frequency v<sub>B</sub><span><span></span></span> of various structures of waveguides, e.g circular, and triangular, and also to examine specialty fibers, e.g. Thulium and Chalcogenide doped fibers, and their effects on Brillouin shift frequency.</p>
Figure data for the manuscript "SI-traceable frequency dissemination at 1572.06 nm in a stabilized fiber network with ring topology"
<p>This file contains the data shown in Fig. 1, Fig 3, Fig. 4, Fig. 5 and Fig. 6 of the manuscript "SI-traceable frequency dissemination at 1572.06 nm in a stabilized fiber network with ring topology". Additional information on the data and processing procedure are available from the author upon reasonable request.</p>
Artificial Neural Network Symbol Demapper for Coherent Optical Fiber Systems
<p>M-files and datasets that implement an artificial neural network (ANN) demapper targeted to the compensation of fiber nonlinearities in coherent optical transmission systems. </p> <p>The dataset contains simulation data of a 11-channel WDM fiber link with numerical propagation implemented by the split-step Fourier method over standard single-mode fiber with 100 km per span and inline optical amplification with 5 dB noise figure. The launched optical power is varied in the range of 0 to 5 dBm and the distance is swept up to 30 fiber spans. The transmitted signal is a root-raised cosine single-carrier 16QAM at 64 Gbaud. </p>
Datasets from tensile testing of unidirectional carbon fiber composites using different specimen types
<p>The raw tensile data behind figure 8 in the reference:</p> <p>Rajnish Kumar, Lars P Mikkelsen, Hans Lilholt and Bo Madsen, Experimental Method for Tensile Testing of Unidirectional Carbon Fibre Composites Using Improved Specimen Type and Data Analysis, Materials, 14, 3939, https://doi.org/10.3390/ma14143939, 2021.</p> <p>to where a reference should be given. </p>
Data for "Advanced Structural Health Monitoring Method by Integrated Isogeometric Analysis and Distributed Fiber Optic Sensing"
<p>This dataset includes the experiment and simulation data of a new structural health monitoring system using distributed fiber optic sensing (DFOS) and Isogeometric Analysis (IGA).</p> <p>The experiment setup was a 5mm thick PVC pipe with a fiber optic cable wrapped around the outer surface of the pipe. The PVC pipe was subjected to an applied deformation and the distributed strains along the optical fiber was measured with a Neubrescope (NBX7031) instrument using Rayleigh backscattering technology.</p> <p>The simulation was performed using the in-house code JWRIAN-IGA developed in Joining and Welding Research Institute, Osaka University. The simulated data includes deformation, stress and strain distributions of the pipe, and projected one-dimensional fiber strains. The visualization files are post-processed with ParaView software.</p>
Abb. 9 in Verbreitung und Bestand des Europäischen Bibers (Castor fiber LINNAEUS, 1758) in der Steiermark (Österreich)
Abb. 9: Biberreviere im Einzugsgebiet der Mur im Bereich der Grenzmur. Grafik: P. Zimmermann.
Abb. 18 in Verbreitung und Bestand des Europäischen Bibers (Castor fiber LINNAEUS, 1758) in der Steiermark (Österreich)
Abb. 18: Biberreviere im Einzugsgebiet der Raab östlich von Feldbach. Grafik: P. Zimmermann.
Abb. 4 in Verbreitung und Bestand des Europäischen Bibers (Castor fiber LINNAEUS, 1758) in der Steiermark (Österreich)
Abb. 4: Bibermeldungen aus der Steiermark in den 1980er und 1990er Jahren. Grafik: P. Zimmermann.
Abb. 1 in Verbreitung und Bestand des Europäischen Bibers (Castor fiber LINNAEUS, 1758) in der Steiermark (Österreich)
Abb. 1: Die Hauptgewässer der Steiermark und ihre Einzugsgebiete. Grafik: P. Zimmermann.
Miniature optical fiber curvature sensor via integration with GaN optoelectronics
<p>Raw data of publication "<strong>Miniature optical fiber curvature sensor via integration with GaN optoelectronics</strong>"</p>
Data from: Augmin prevents merotelic attachments by promoting proper arrangement of bridging and kinetochore fibers
<p>The human mitotic spindle is made of microtubules nucleated at centrosomes, at kinetochores, and from pre-existing microtubules by the augmin complex. However, it is unknown how the augmin-mediated nucleation affects distinct microtubule classes and thereby mitotic fidelity. Here we use superresolution microscopy to analyze the previously indistinguishable microtubule arrangements within the crowded metaphase plate area and demonstrate that augmin is vital for the formation of uniformly arranged parallel units consisting of sister kinetochore fibers connected by a bridging fiber. This ordered geometry helps both prevent and resolve merotelic attachments. Whereas augmin-nucleated bridging fibers prevent merotelic attachments by creating a nearly parallel and highly bundled microtubule arrangement unfavorable for creating additional attachments, augmin-nucleated k-fibers produce robust force required to resolve errors during anaphase. STED microscopy revealed that bridging fibers were impaired twice as much as k-fibers following augmin depletion. The complete absence of bridging fibers from a significant portion of kinetochore pairs, especially in the inner part of the spindle, resulted in the specific reduction of the interkinetochore distance. Taken together, we propose a model where augmin promotes mitotic fidelity by generating assemblies consisting of bridging and kinetochore fibers that align sister kinetochores to face opposite poles, thereby preventing erroneous attachments.</p>
Mid-infrared difference-frequency generation directly pumped by a fiber four-wave mixing source
<p>Open access dataset for all figures in 'Mid-infrared difference-frequency generation directly pumped by a fiber four-wave mixing source'.</p>
Data publication for "High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings"
<p><strong>Summary</strong></p> <p>This data publication supplements the manuscript "High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings" [1] with tabulated data. Furthermore, the provided Matlab and Python scrips allow to reproduce the data and can serve as a starting point for further investigations. They include a multi-objective optimization scheme, a robustness analysis with further optimizations focused on robustness and an investigation of the electrical properties. The following sections explain the contents of each directory and discuss dependencies on third-party software. For a detailed descriptions of the methods and the optimization and analysis pipeline we refer to the related paper [1].</p> <p><strong>Tabulated data</strong></p> <p>The contained text files refer to figures in the manuscript [1] as indicated by their names. Additional information is given in the headers.</p> <p><strong>Optimization</strong></p> <p>The optimization has been carried out with Matlab scripts (tested with version r2019b) which rely on the commercial FEM solver JCMsuite [2] (for a free trial licenses please refer to the homepage of <a href="http://jcmwave.com">JCMwave</a>). In order to run any of the supplied scripts you must edit the path to the installation directory of JCMsuite (5.2.1).</p> <p>The subdirectories <code>JCMsuite</code> and <code>Matlab</code> contain input files for JCMsuite and function definitions along with a recent version of RPExpand [3], respectively. Rerunning the scripts <code>optimization.m</code>, contained in each of the subdirectories <code>NIR</code>, <code>CBand</code> and <code>OBand</code>, will open the dashboard of the optimizer, which provides visualizations of the optimization progress. The target function is defined in <code>Matlab/coupling.m</code>.</p> <p>Wavelength scans of Purcell enhancement, coupling efficiency to a single mode fiber and collection efficiency into a numerical aperture of NA=0.8 have been carried out using interpolation based on modal expansions with RPExpand.</p> <p><strong>Robustness analysis</strong></p> <p>Along with the Python scripts used to run the robustness analysis and further optimizations, a visualization of all results have been added (e.g. <code>final_results/C_Band/robust_opt/figure_purcell_max.pdf</code>), which add to the results presented in figure 2 of the manuscript [1].</p> <p><strong>Electrical properties</strong></p> <p>The script <code>elCBG_capacitor_cylindrical_10_Rings_Ubias_sweep.py</code> is based on <a href="https://devsim.org/index.html">DEVSIM</a> [4]. Version 1.6.0 has been used to generate the original data, but for this data publication, it has been adapted to run with a current version. You can install the required packages, e.g., with Miniconda (22.11.1) running</p> <pre><code>conda install mkl sqlite zlib pip install numpy pandas devsim</code></pre> <p><strong>Bibliography</strong></p> <p>[1] Lucas Rickert, Fridtjof Betz, Matthias Plock, Sven Burger and Tobias Heindel: High-performance designs for fiber-pigtailed quantum-light sources based on quantum dots in electrically-controlled circular Bragg gratings (2022), http://arxiv.org/abs/2212.04883</p> <p>[2] https://jcmwave.com</p> <p>[3] Fridtjof Betz, Felix Binkowski, Sven Burger, RPExpand: Software for Riesz projection expansion of resonance phenomena, SoftwareX 15, 100763 (2021), https://doi.org/10.1016/j.softx.2021.100763</p> <p>[4] https://devsim.org/index.html</p>
Data for: Simultaneously enhanced tenacity, rupture work, and thermal conductivity of carbon nanotubes fibers by raising effective tube portion
<p><span>Although individual carbon nanotubes (CNTs) are superior as constituents to polymer chains, the mechanical and thermal properties of CNT fibers (CNTFs) remain inferior to </span><span>synthetic fibers</span><span> due to the failure of embedding CNTs effectively in superstructures. Conventional techniques resulted in a mild improvement of target properties while degrading </span><span>others. Here, a Double-Drawing technique is developed to rearrange the constituent CNTs in both mesoscale and nanoscale morphology. Consequently, the mechanical and thermal properties of the resulting CNTFs can simultaneously reach their highest performances with specific strength ~3.30 N/tex (4.60 GPa), work of rupture ~70 J/g, and thermal conductivity ~354 W/m/K, despite starting from low-crystallinity materials (<em>I</em><sub>G</sub>:<em>I</em><sub>D</sub>~5). The processed CNTFs are more versatile than comparable carbon fiber, Zylon and Dyneema. Based on evidence of load transfer efficiency on individual CNTs measured with In-Situ-Stretching-Raman, we find the main contributors to property enhancements are the increasing of the effective tube contribution, in addition to the known optimization on CNTs alignment and stacking.</span></p>
DATASET: Water Phantom Characterization of a Novel Optical Fiber Sensor for LDR Brachytherapy
<p>Dataset for the journal article "Water Phantom Characterization of a Novel Optical Fiber Sensor for LDR Brachytherapy"</p>
Dataset for scanning electron microscopy based local fiber volume fraction analysis of non-crimp fabric glass fiber reinforced composites
<p>SEM data sets, Matlab codes, and output from the local fiber volume fraction analysis from the publications:</p> <p>Mortensen, U.A., Rasmussen, S., Mikkelsen, L.P., Fraisse, A., Andersen, T.L. The impact of the fibre volume fraction on the fatigue performance of glass fiber composites used in the wind turbine industry, <em>Composites Part A</em>, submitted Dec 2022.</p> <p>Mikkelsen, Lars P., Fæster, S., Dahl, V.A. Dataset for scanning electron microscopy based local fiber volume fraction analysis of non-crimp fabric glass fiber reinforced composites. <em>Data in Brief</em>, Submitted, 2023.</p> <p>to where a reference should be given. </p> <p>The files are structured in the following way.</p> <ul> </ul> <p>L1, L2: Low FVF cases 1 and 2; see the publication.<br> H1, H2: High FVF case 1 and 2; see the publication.</p> <p>SEM images:</p> <ul> <li>*.bmp: Single SEM scan</li> <li>*.bmp.hdr: settings for single SEM scan</li> <li>*.tif: Stitched SEM scan</li> <li>*.tif.hdr: settings for stitched SEM scan</li> </ul> <p>*_BundleAnalysis.m: Script for manual segmentation of the individual bundles.</p> <ul> <li>*.zip files: Functions used by the ..._BundleAnalysis.m scripts</li> <li>*-CURVES_AND_AREAS.mat: Matlab saving of bundle definitions used by the ...BUndlesAnalysis.m script</li> <li>*BWbundles.mat: Output from the _BundleAnalysis.m script</li> </ul> <p>*.m: Local fiber volume fraction analysis script of SEM-scan based on output from BundleAnalysis tool</p> <ul> <li>Figxx.png: Reference to specific figures in the publications shown for all 4 cases</li> <li>Fig7.m: Matlab script for plotting figure 7</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p>
Measurements of Wiretap Encoded Image Transmissions over Multi-Mode Fibers
<p><strong>Securing Data in Multimode Fibers by Exploiting Mode-Dependent Light Propagation Effects</strong></p> <p>This dataset accompanies the publication "Securing Data in Multimode Fibers by Exploiting Mode-Dependent Light Propagation Effects" (S. Rothe, K.-L. Besser, D. Krause, R. Kuschmierz, N. Koukourakis, E. Jorswieck, J. Czarske. Research, vol. 6: 0065, Jan. 2023. <a href="https://doi.org/10.34133/research.0065">DOI:10.34133/research.0065</a>).</p> <p>It contains the measurements of the transmissions of the logo of TU Dresden, encoded by polar wiretap codes of different rates.<br> Each measurement contains the received signals of both the legitimate receiver (Bob) and the eavesdropper (Eve).</p> <p> </p> <p>The code to analyze the measurement files and reproduce the results from the above paper can be found at <a href="https://github.com/klb2/mmf-physec">https://github.com/klb2/mmf-physec</a>.</p>
Research data supporting 'Fiber pumps for wearable fluidic systems'
<p>The dataset supporting 'Fiber pumps for wearable fluidic systems', published in <em>Science</em> in March 2023.</p> <p>In this work, we present a fluidic pump in the form of a flexible and stretchable tube. These tubes - or 'fiber pumps' - can generate significant fluidic pressure and flowrate without moving parts or vibration. They are intended to be combined with textiles and clothing. This allows high pressure fluidic circuits to be seamlessly integrated into wearable devices, powering soft supportive exosuits, thermoregulatory clothing, and wearable haptics. </p> <p>This dataset contains the characterisation data of the pumps themselves, as well as characterisation data of the demonstrations that incorporate these pumps. Pump characterisation data includes measurements of pressure, flowrate, power density and other pump metrics. Demo characterisation includes measurements of strain, force, thermal transport and other data. A detailed description of the measurements, file types and naming conventions can be found in the read me file included in the dataset. </p> <p> </p>
ScienceDex guides
Understand access before you commit
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.