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281 results for “Wire”
Dataset of experiment of wire-harness manufacturing framework validation
<p>Dataset created during the validation experiments of the wire harness manufacturing framework developed within the REMODEL European project.</p>
Contour method dataset for as-deposited and rolled wire+arc additive manufacturing Ti–6Al–4V components
<p>This is an archive of the raw metrology of the EDM cut surface data files used for the contour method analysis of Wire+Arc Additive Manufacture (WAAM) Ti6Al4V components appearing in: "Residual stress of as-deposited and rolled wire+arc additive manufacturing Ti–6Al–4V components" by F. Martina, M. J. Roy, B. A. Szost, S. Terzi, P. A. Colegrove, S. W. Williams, P. J. Withers, J. Meyer and M. Hofmann.</p> <p>The files are described by their filenames and side of each EDM cut. For example, 'Control_1.dat' refers to one side of the cut performed on the as-deposited specimen, while '50kN_1.dat' refers to one side of a specimen rolled at 50 kN load, etc.</p> <p>Data is in the form of a point cloud with one point per line, whitespace delimited in microns. Data was captured with a Nanofocus CF-4 laser profilometer sensor with point spacing 30 µm apart. Data with z coordinates below or above 500 µm are considered outside of the surface detection limits.</p>
Copper Wire Corrosion and Meteorological Conditions in a Hangar
<p>Measurement of copper wire corrosion in a hangar (Kbely, Prague) with meteorological data (indoor and outdoor temperature, indoor and outdoor humidity, indoor and outdoor dew point, wind direction, wind speed, pressure above mean sea level). The dataset also includes measurements of pollution (SO2) from a meteorological station (Libuš, Prague) and NO2, PM10, and PM2.5 from Holešovice, Prague. The sampling period is one hour, and the measurements were collected for a duration of 390 days.</p>
In-network convolution in grid-shaped wired sensor networks
<p>Data about the simulation of the in-network convolution in grid-shaped wired sensor networks. <br> We designed the simulation to examine the communication overhead of the technique applied on a wired sensor network at two different topologies.<br> Data include measurements of traveling time of packets and packet loss at varying of the link bitrate and kernel size. </p>
X-ray Fluorescence Ghost Imaging - CuSn mask - Three Wires (Fe & Cu)
<p>X-ray Fluorescence Ghost Imaging (XRF-GI) dataset of three wires (one Fe, and two Cu) in a plastic capillary. The capillary contains trace elements like Zn, Zr, etc.</p> <p>The GI scan is presented in the following article <a title="Synchrotron-based x ray fluorescence ghost imaging" href="https://doi.org/10.1364/OL.499046">10.1364/OL.499046</a>. A total of 896 GI realizations were taken, organized into 16 vertical translations and 56 horizontal translations of the structuring element (CuSn mask).<br>The dataset contains both the sample transmission images and the masks plus sample transmission images. No images of the masks are provided (they need to be computed).</p> <p>The data is organized in an HDF5 file, under the following structure:</p> <pre><code>dataset_CuSn-mask_3wires.h5 │ ├data │ ├flat_panel │ │ ├dark [float32: 16 × 170 × 350] │ │ ├empty_beam [float32: 170 × 350] │ │ ├sample [float32: 16 × 170 × 350] │ │ └sample_and_masks [float32: 16 × 56 × 170 × 350] │ └xrf [float32: 16 × 56 × 4096] │ └metadata └xrf ├bias_keV [float64: scalar] ├gain_keV [float64: scalar] └ranges ├Ca [int64: 2] ├Cu [int64: 2] ├Fe [int64: 2] ├Si [int64: 2] ├Ti [int64: 2] ├Zn [int64: 2] └Zr [int64: 2] </code></pre> <p>The meaning of the paths is:</p> <ul> <li><code>/data/xrf</code> contains the XRF spectra for each GI realization</li> <li><code>/data/flat_panel/dark</code> contains the dark images of each scan line (no beam)</li> <li><code>/data/flat_panel/empty_beam</code> contains the empty beam (no sample & no masks) intensity distribution</li> <li><code>/data/flat_panel/sample</code> contains the transmission images of the sample at each scan line</li> <li><code>/data/flat_panel/sample</code>_and_masks contains the transmission images of the sample and masks at each GI realization</li> <li><code>/metadata/xrf/bias_keV</code> contains the bias in keV of the XRF spectrum</li> <li><code>/metadata/xrf/gain_keV</code> contains the gain in keV of each XRF energy bin</li> <li><code>/metadata/xrf/ranges/</code> contains the bin ranges for interesting K<sub>alpha</sub> elemental emission lines in the XRF spectrum</li> </ul> <p>For further information we refer to the associated publication.</p> <p>The data can be processed with structured illumination routines of the code at: <a href="https://github.com/cicwi/PyCorrectedEmissionCT">https://github.com/cicwi/PyCorrectedEmissionCT</a>.</p>
Data for: Microstructure evolution and texture development during production of homogeneous fine-grained aluminum wire by friction extrusion
<p>This dataset contains the data for paper “Microstructure evolution and texture development during production of homogeneous fine-grained aluminum wire by friction extrusion” published in Materials Characterization.</p> <p>Abstract: This study aims to understand the microstructure evolution and texture development during friction extrusion of aluminium alloys, focusing on AA7075 as exemplary alloy system. Electron backscatter diffraction technique has been employed to obtain crystallographic data from various regions in front of the die and in the wire. It can be deduced that the combination of continuous dynamic recrystallization and geometric dynamic recrystallization mainly govern the formation of a fine-grained structure, however discontinuous dynamic recrystallization may also play a role at high temperature. The global shear deformation during the process was characterized as a simple shear deformation with dominant <span class="math-tex">\(B/\overline{B}\)</span> simple shear texture components. The material flow is mainly driven by the in-plane shear strain and the extrusion-induced shear strain that are determined by die rotational speed and extrusion force, respectively. The in-plane shear strain strongly affects the formation of a homogeneous fine-grained microstructure in the aluminum wire. In this regard, a novel material flow model for friction extrusion has been proposed.</p>
MicroBooNE BNB Inclusive Overlay Sample (No Wire Info)
<p>MicroBooNE samples are provided for collaborative development in two different formats: HDF5, targeting the broadest audience, and artroot, targeting users that are familiar with the software infrastructure of Fermilab neutrino experiments and more in general of HEP experiments. The HDF5 files are stored on Zenodo, together with a list of artroot files accessible with xrootd.</p> <p>This sample includes simulated interactions of neutrinos from the Booster Neutrino Beam (BNB), overlaid on top of cosmic ray data. The sample is inclusive, i.e. it includes all types of neutrinos and interactions, with relative abundance matching our nominal flux and cross section models. Interactions are simulated in in the whole cryostat volume.</p> <p>The HDF5 files in this sample do not include the information at the wire waveform level ("NoWire" label), allowing for larger number of events to be included in the data set.</p> <p>More documentation, including detailed description of content, recipes, and example usage, at <a href="https://github.com/uboone/OpenSamples/tree/v02">https://github.com/uboone/OpenSamples</a>.</p> <p>Suggested text for acknowledgment is the following:<br> <em>We acknowledge the MicroBooNE Collaboration for making publicly available the data sets [data set DOIs] employed in this work. These data sets consist of simulated neutrino interactions from the Booster Neutrino Beamline overlaid on top of cosmic data collected with the MicroBooNE detector [2017 JINST 12 P02017].</em></p> <p>In addition, we request that software products resulting from the usage of the datasets are also made publicly available.</p>
Dataset for Dual Fraunhofer interference and charge fluctuations in long quantum phase slip wires, Phys. Rev. B 102, 144509 (2020)
<p>Dataset for manuscript 'Dual Fraunhofer interference and charge fluctuations in long quantum phase slip wires', Phys. Rev. B 102, 144509 (2020). Dataset contains data from numerical simulations presented in the manuscript and generating scripts. The data describes the quantum phase slip rate and its suppression due to charge and width disorder in superconducting nanowires in the phase slip regime. This disorder leads to temporal fluctuations which affects the current-voltage characteristics of nanowires. </p>
"Reversible on-surface wiring of resistive circuits", raw data used in figures.
<p>Supporting information associated with the publication "Reversible on-surface wiring of resistive circuits", <em>Chem. Sci.</em>, <strong>2017</strong>, DOI: 10.1039/c7sc00599g. Files contain the raw data used in preparation of the figures.</p>
X-ray scattering tensor-tomography dataset for a steel wire using the austenitic {220}-peak.
<p>Experimental data from a scanning-probe wide angle scattering experiment performed at the cSAXS beamline at teh Swiss Light Source at the Paul Scherrer Institure in Villigen, Switzerland.</p> <p>The file-format is that used in by the software package mumott (mumott.org).</p> <p>The sample is a tangled knot of hard-tempered steel. The detector images have been azimuthally re-grouped and only the intensity of the austeinte {220} peak is included in 48 separrate azimuthal bins.</p>
Dataset for paper entitled, 'Confirmation of rapid-heating β recrystallization in wire-arc additively manufactured Ti-6Al-4V'.
<p>Dataset for paper entitled, 'Confirmation of rapid-heating β recrystallization in wire-arc additively manufactured Ti-6Al-4V'. doi: https://doi.org/10.1016/j.mtla.2020.100857</p>
Dataset for paper entitled 'Quantification of strain fields and grain refinement in Ti-6Al-4V inter-pass rolled wire-arc AM by EBSD misorientation analysis'.
<p>Dataset for paper entitled 'Quantification of strain fields and grain refinement in Ti-6Al-4V inter-pass rolled wire-arc AM by EBSD misorientation analysis'. doi: https://doi.org/10.1016/j.matchar.2020.110673</p>
Dataset: Asia Pacific Wire & Cable Corporation Limited (APWC) 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.
Dataset: Asia Pacific Wire & Cable Corporation Limited (APWC) 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.
Dataset: Encore Wire Corporation (WIRE) 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.
Database of available existing wire spaced rod bundle experiments
<p><span>This report provides a literature review with respect to thermal-hydraulic experiments on rod bundles with wire spacers, representative of fuel assemblies in liquid-metal cooled fast reactors.<span> </span>Both isothermal and heated tests are evaluated, for nominal and non-nominal geometries. </span></p> <p><span>General acceptance criteria are defined for incorporating experiments into this review. The most relevant one is the related to the geometry: only the classical case with one wire per pin is considered. Further additional acceptance criteria are defined for each scenario. All rejected cases are listed in the appendix.</span></p> <p><span>Only publicly available data are considered, with a cut-off date of December 31<sup>st</sup>,<sup> </sup>2023. Ongoing activities are also mentioned, mostly from European collaborative projects, since results are expected to be published soon. A discussion on the comparison with simulation results is presented.</span></p>
Characterization of a Nickel-Titanium (55.3 Ni wt%) shape memory alloy wire
<p>Characterization of a Nickel-Titanium (55.3 Ni wt%) shape memory alloy (SMA) wire supplied by Memry (USA).</p> <p>Diameter : 0.50mm</p> <p>Data given by the supplier : Nitinol wire, Hard black oxide, thermally straightened, As = 53°C</p> <p>Differential Scanning Calorimetry (DSC) test (as received) : a virgin sample of NiTi wire (7.9mg) is submitted to an initial heating up to 250°C, followed by 2 cooling-heating cycles (250°C/-90°C/+250°C). Test speed : 10°C per minute. The DSC apparatus is a DSC 250 (TA Instruments) with nitrogen gas flow. The test files for the software Trios are supplied as well as the .csv data.</p> <p>Differential Scanning Calorimetry (DSC) test (50 cycles) : the NiTi wire maintained in a water bath at a temperature of 70°C is submitted to 50 mechanical cycles of loading up to 90N and unloading down to 0.5N (superelastic cycles). A sample of this wire (8.1mg) is submitted to a DSC with an initial heating up to 250°C, followed by 2 cooling-heating cycles (250°C/-90°C/+250°C). Test speed : 10°C per minute.</p> <p>Isothermal traction at 25 degrees : a specific testing apparatus (illustration in the file Apparatus.jpg) has been set up. The SMA wire is tested in a box containing water, a water pumping/heating/cooling apparatus enables to control the water temperature in order to precisely control the SMA wire temperature. One side of the box is made of transparent PMMA in order to monitor the wire strains by Digital Image Correlation (DIC). The tested part of the wire finds itself in water, and its upper end is clamped in the cylinder jaws of a displacement controlled ADAMEL DY31 testing machine. The water temperature is monitored by two type K thermocouples at two different locations inside the water volume. The load in the wire is registered using a 100N load cell and the deformations of the wire were measured by DIC on images acquired by a Pike F421B camera (Allied Vision Technologies). A Matlab routine has been set up to acquire simultaneously the deformation images with the load values. A virgin wire of the same spool has been submitted to axial traction in 25°C water with a speed of 10^-4 s^-1. The first traction test presents a strain localization along the wire. We were not interested in this phenomenon and only present here the 2nd, 3rd and 4th test which show a homogeneous strain along the observed zone of the wire. The strain has been measured with the software GOM Correlate, by computing the mean value of the axial strain on a rectangular zone of several centimeters on the wire. The GOM Correlate files are supplied, as well as the .csv values. Between each test, the wire has been extracted from the testing chamber, placed in a furnace at 100°C during several minutes and then placed in a deep freezer at -20°C during several minutes in order to always test a martensitic wire.</p> <p>Thermal cycling at 25°C : With the same apparatus, a load of 25N has been applied on the wire at 85°C and then maintained constant with the help of a PID controller in the TestWorks software. The wire being maintained at this constant load, the water has been cooled down to 15°C and heated up to 85°C. The strain field could not be measured accurately, and for this reason the strain named Axial Strain 1, Axial Strain 2 and Axial Strain 3 are computed with virtual gauges in GOM Correlate (only between two points). The strain may be heterogeneous along the wire.</p>
MicroBooNE BNB Electron Neutrino Overlay Sample (With Wire Info)
<p>MicroBooNE samples are provided for collaborative development in two different formats: HDF5, targeting the broadest audience, and artroot, targeting users that are familiar with the software infrastructure of Fermilab neutrino experiments and more in general of HEP experiments. The HDF5 files are stored on Zenodo, together with a list of artroot files accessible with xrootd.</p> <p>This sample includes simulated interactions of neutrinos from the Booster Neutrino Beam (BNB), overlaid on top of cosmic ray data. The sample is restricted to charged-current electron neutrino interactions within the argon active volume of the time projection chamber.</p> <p>The HDF5 files in this sample include the information at the wire waveform level (after deconvolution and finding of regions of interest). As this information significantly increases the file size, this sample contains about 20% of the events of the corresponding sample without wire information.</p> <p>More documentation, including detailed description of content, recipes, and example usage, at <a href="https://github.com/uboone/OpenSamples/tree/v01">https://github.com/uboone/OpenSamples</a>.</p> <p>Suggested text for acknowledgment is the following:<br> <em>We acknowledge the MicroBooNE Collaboration for making publicly available the data sets [data set DOIs] employed in this work. These data sets consist of simulated neutrino interactions from the Booster Neutrino Beamline overlaid on top of cosmic data collected with the MicroBooNE detector [2017 JINST 12 P02017].</em></p> <p>In addition, we request that software products resulting from the usage of the datasets are also made publicly available.</p>
MicroBooNE BNB Inclusive Overlay Sample (With Wire Info)
<p>MicroBooNE samples are provided for collaborative development in two different formats: HDF5, targeting the broadest audience, and artroot, targeting users that are familiar with the software infrastructure of Fermilab neutrino experiments and more in general of HEP experiments. The HDF5 files are stored on Zenodo, together with a list of artroot files accessible with xrootd.</p> <p>This sample includes simulated interactions of neutrinos from the Booster Neutrino Beam (BNB), overlaid on top of cosmic ray data. The sample is inclusive, i.e. it includes all types of neutrinos and interactions, with relative abundance matching our nominal flux and cross section models. Interactions are simulated in in the whole cryostat volume.</p> <p>The HDF5 files in this sample include the information at the wire waveform level (after deconvolution and finding of regions of interest). As this information significantly increases the file size, this sample contains about 17% of the events of the corresponding sample without wire information.</p> <p>More documentation, including detailed description of content, recipes, and example usage, at <a href="https://github.com/uboone/OpenSamples/tree/v01">https://github.com/uboone/OpenSamples</a>.</p> <p>Suggested text for acknowledgment is the following:<br> <em>We acknowledge the MicroBooNE Collaboration for making publicly available the data sets [data set DOIs] employed in this work. These data sets consist of simulated neutrino interactions from the Booster Neutrino Beamline overlaid on top of cosmic data collected with the MicroBooNE detector [2017 JINST 12 P02017].</em></p> <p>In addition, we request that software products resulting from the usage of the datasets are also made publicly available.</p>
MicroBooNE BNB Electron Neutrino Overlay Sample (No Wire Info)
<p>MicroBooNE samples are provided for collaborative development in two different formats: HDF5, targeting the broadest audience, and artroot, targeting users that are familiar with the software infrastructure of Fermilab neutrino experiments and more in general of HEP experiments. The HDF5 files are stored on Zenodo, together with a list of artroot files accessible with xrootd.</p> <p>This sample includes simulated interactions of neutrinos from the Booster Neutrino Beam (BNB), overlaid on top of cosmic ray data. The sample is restricted to charged-current electron neutrino interactions within the argon active volume of the time projection chamber.</p> <p>The HDF5 files in this sample do not include the information at the wire waveform level ("NoWire" label), allowing for larger number of events to be included in the data set.</p> <p>More documentation, including detailed description of content, recipes, and example usage, at <a href="https://github.com/uboone/OpenSamples/tree/v01">https://github.com/uboone/OpenSamples</a>.</p> <p>Suggested text for acknowledgment is the following:<br> <em>We acknowledge the MicroBooNE Collaboration for making publicly available the data sets [data set DOIs] employed in this work. These data sets consist of simulated neutrino interactions from the Booster Neutrino Beamline overlaid on top of cosmic data collected with the MicroBooNE detector [2017 JINST 12 P02017].</em></p> <p>In addition, we request that software products resulting from the usage of the datasets are also made publicly available.</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.