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746 results for “Powder”
Manufacturing of high strength and high conductivity copper with laser powder bed fusion
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Russian olive distribution and invasion dynamics along the Powder River, Montana and Wyoming, USA
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Neutron powder diffraction from NIST 660c LaB6 standard for calibration of Wombat high-intensity neutron powder diffractometer
<p>Calibration data for the Wombat high intensity powder diffractometer, ANSTO, collected at a nominal wavelength of 1.64A from NIST 660c LaB<sub>6</sub> standard using the [224] reflection from a single crystal Ge monochromator, [335] cut. Note that B in this standard is enriched to 99% with isotope <sup>11</sup>B. The sample was loaded in a 6mm diameter vanadium cylindrical sample can.</p>
Neutron powder diffraction data of solid methane in the range 8K-90K
<p>Raw and processed neutron powder diffraction data from solid methane in the range 8K-90K in 2K steps. Data were collected on the Wombat high-intensity powder neutron diffractometer. This data accompanies a submitted publication.</p>
Neutron powder diffraction data from nitrogen in the range 16K-72K
<p>Neutron powder diffraction data from nitrogen solidified in situ and measured from 16K up to 72K. Data were measured on the Wombat high intensity neutron powder diffractometer at ANSTO, Australia.</p>
Data and analysis script for channel measurement campaign at POWDER-RENEW using Iris SDRs
<p>This repository contains our raw datasets from channel measurements performed at the University of Utah campus. In addition, we have included a document that explains the setup and methodology used to collect this data, as well as a very brief discussion of results. <br> File organization:<br> * documentation/ - Contains a .docx with the description of the setup and evaluation.<br> * data/ - HDF5 files containing both metadata and raw IQ samples for<br> each location at which data was collected. Notice we collected data at 14 <br> different client locations. See map in the attached docx (skipped locations 12 and 16).<br> We deployed 5 different receivers at 5 different rooftops. Due to resource constraints,<br> one set of files contains data from 4 different locations whereas another set <br> contains information from the single remaining location.<br> <br> We have developed a set of python scripts that allow us to parse and analyze the data.<br> Although not included here, they can be found in our public repository: <a href="https://github.com/renew-wireless/RENEWLab">https://github.com/renew-wireless/RENEWLab</a><br> You can find the top script <a href="https://github.com/renew-wireless/RENEWLab/blob/master/PYTHON/IrisUtils/deployment_tool.py">here</a>.</p> <p>For more information on the POWDER-RENEW project please visit the <a href="https://powderwireless.net/">POWDER website</a>.<br> The RENEW part of the project focuses on the deployment of an open-source massive MIMO system.<br> Please visit our <a href="https://renew-wireless.org/">website </a>for more information.</p>
STL files and data to support: Improvements in methods for measuring the volume conductivity of electrically conductive carbon powders
<p>Electrically conductive carbon powders are commonly used as filler materials in polymers to create electrically semi-conductive composite materials for use in battery electrodes and anti-static applications. Current methods for characterizing the conductivity of these powders use two pistons to compress the powders. Two-piston methods are known to underestimate conductivity. This study develops a guard-electrode method based on ASTM D257 to better characterize the bulk conductivity and impedance spectra of electrically conductive powders. The conductivity and impedance spectra of a highly conductive powder (copper powder) and a low conductivity powder (cellulose) were used to bound the conductivity of carbon black, graphite, and biochar. Powders were measured through a full range of compression with both the two-piston and the guard-electrode method. In all cases, measurements using the guard-electrode method have higher conductivity and lower impedance than the same powders measured using the two-piston method. The grain conductivity of the particles is obtained through fitting the relationship of conductivity versus packing fraction using the GEM equation. The guard-electrode method is shown to be more similar to established conductivity values as measured via a four-probe technique for copper and graphite then the two-piston method.</p>
"Pharmakos" tooth powder packaging
The Pharmakos cardboard box was a packaging for storing tooth powder. Oral hygiene was known even to the oldest of civilisations. Teeth were cleaned using substances such as tree bark, sticks, feathers, porcupine spines, and a mixture of pepper, salt, herbs, ash, and eggshells. Mass production of toothbrushes inspired pharmacists to prepare tooth powders and toothpastes. At the turn of the 19th and 20th c., pharmacies began to mass produce preparations made to their own recipes. It is difficult to establish the composition of the powder which the presented package contained. An example recipe follows, and could still be made nowadays: calcium carbonicum 400.0 g, magnesium carbonicum 30.0 g, oleum Menthae piperitae 2.5 g. This was the composition of the Pulveres Dentifricii tooth powder, which was still used in the 1950s. Manufacturer: Laboratorium Farmaceutyczno-Kosmetyczne "Pharmakos", Krakow Inv. No.: MIM1599/IX-174 Model prepared on the basis of photogrammetric measurements Licence: CC BY-NC-SA Source: Objaverse 1.0 / Sketchfab
Powder Dish
For more information about this item visit: https://bhpsite.org/ Source: Objaverse 1.0 / Sketchfab
opXRD: Open Experimental Powder X-ray Diffraction Database
<p>In this publication, we provide a new open powder X-ray diffraction (opXRD) dataset that collects a broad range of patterns from experiments. Our opXRD dataset has been curated by collecting the accumulated powder data from multiple large research groups and institutions with high-throughput XRD facilities. It contains pXRD patterns from single and multiphase materials from a wide variety of materials classes. </p>
Microstructure and mechanical properties of mechanically-alloyed CoCrFeNi high-entropy alloys using low ball-to-powder ratio
<p>The main issue of this work was to analyse the microstructural evolution and mechanical properties of FCC high entropy alloy (HEA) when BPR (ball-to-powder ratio) was limited to 5:1. The motivation of our work is to increase the amount of milled fraction without losing efficiency of the milling process. Nowadays many papers describe HEAs by using powder metallurgy processes, but higher BPR is used. In consequence less amount of powder is milled in one period and the process is not effective enough from the industrial point of view.</p> <p>In this work four equiatomic CoCrFeNi samples were made by Mechanical Alloying plus Spark Plasma Sintering using different milling times: 10, 20, 30, 40 hours. We used 200 Φ5 mm WC balls and milled with intervals 15:15 minutes. Milling speed was 250 rpm. After the mechanical alloying has been finished samples were sintered by using Spark Plasma Sintering technique. We chose 950 °C as a process temperature with heating rate 100 °C/min. Sintering pressure was 50 MPa. Samples were then homogenise in 1050 °C for 12 hours. Then samples were water quenched.</p> <p>The densification of samples during sintering was in satisfied level, what was confirmed by relative densities of samples (>90 %) The microstructure observation of sintered samples revealed Cr-rich particles evenly distributed in samples volume. The number of particles decreases with increasing the milling time. Elements are randomly distributed in the matrix phase except a small Cr-depletion. XRD technique shows multiple FCC structure. As the milling time exceeds, the main FCC structure is promoted. Microhardness increased as a function of milling time. After annealing microstructures were almost out of Cr-rich phase. Only the biggest particles remained. EBSD revealed the grain size decrement as a function of milling time. Also X-ray diffractograms presented significant homogenisation of manufactured samples. Despite the microhardness decrease after heat treatment, the longest milled sample still possess very promising properties. Moreover hardness of samples is not indent’s size dependent (micro- and nanohardness).</p> <p>During milling time the particles are joining and fracturing many times. As a consequence elements are mixing and promoting the new phase(s) growing. We deduced that Hall-Petch effect is the most important factor determining better mechanical properties in longer milled samples. However the milling process need to be improvement. Cr-rich phase observed in sintered samples is the effect of low efficiency of the process, which might be improved by either smaller fraction of Cr at the beginning (premilling process) or increase the other process parameters (milling speed, sintering time).</p>
Talcum Powder
A container of Palmolive brand talcum powder. Source: Objaverse 1.0 / Sketchfab
Vintage Dutch Tin of chocolate powder
Vintage Dutch Droste cacao tin. Source: Objaverse 1.0 / Sketchfab
[Data] Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring
<div> <div> <div> <p>Different Laser Powder Bed Fusion (LPBF) process spaces were deliberately introduced by employing two distinct 316L stainless steel powder distributions (with particle sizes >45 μm and < 45 μm) and processing them with two sets of laser parameters, resulting in the creation of four datasets [D1, D2, D3, and D4]. These datasets encompass LoF pores, conduction mode, and keyhole formations, each associated with three LPBF regimes denoted as D1, D2, D3, and D4. The experiments utilized a Sisma MYSINT 100 commercial LPBF printer and an airborne AE sensor system with a flat frequency response ranging from 0 to 150 kHz. Validation of the ground truths for the three laser regimes across the four datasets, representing distinct process spaces, was accomplished through the confirmation of cross-sectional images. In the course of fabricating a cube using a powder bed and laser, data acquisition from an AE sensor was triggered when the optical intensity reached a threshold of 0.5 V for each scan length. The photodiode trigger gain was adjusted to saturate at 5 V, and the ensuing continuous-time window, where the optical signal remained at 5 V for 12.5 ms, was calculated and segmented to generate the dataset. Irrespective of the specific regime (Lack of Fusion, Conduction, and Keyhole) or the cube being fabricated (with two powder distributions), the signals obtained during this process were then segmented into a 12.5 ms window comprising 5000 data points. To eliminate any noise, an offline application of a low-pass Butterworth filter with a 150 kHz cut-off frequency was employed, aligned with the frequency response specification of the AE sensor. Each dataset has two files against it [raw/groundtruth label].</p> </div> </div> </div>
Like-a-PRO: WP2:T2.1: Samples (Olypep/Krill hydrolysate powder) provided by Rimfrost to Like-a-PRO partners
<p>The dataset provides an overview of dates, quantites and sample types sent from Rimfrost to partners in the Like-a-PRO project. All samples are specifically form the krill species: Antarctic krill (Euphausia superba). In addition, a brief explination of intial and futher processing along with simplified goals for the samples is added in the overview. </p> <p>Contact the data collectors (contact persons) for more information regarding specifics on the processing/development and/or goals for each sample.</p>
Influence of calcination temperature and particle size distribution on the physical properties of SrFe12O19 and BaFe12O19 hexaferrite powder - part 2
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Dataset: Uncovering Obscured Phonon Dynamics from Powder Inelastic Neutron Scattering using Machine Learning
<p>Dataset of simulated and experimental spectra for the manuscript: Uncovering Obscured Phonon Dynamics from Powder Inelastic Neutron Scattering using Machine Learning. </p> <p>The data.zip contains all the simulated spectra and labels.</p> <p>The dataset.zip contains the divided subsets for training, validation and testing purposes, as well as the experimental dataset.</p>
FIGURE 9 in An annotated synopsis of the powder post beetles (Coleoptera: Bostrichidae) of Mainland China
FIGURE 9. Dorsal view of subfamily Lyctinae. A. Cephalotoma coomani (Lesne, 1932). B. Lyctoxylon dentatum (Pascoe, 1866). C. Lyctus brunneus (Stephens, 1830). D. L. linearis (Goeze, 1777). E. L. pubescens Panzer, 1793. F. L. sinensis Lesne, 1911. G. L. suturalis Faldermann, 1837. H. Minthea reticulata Lesne, 1931. I. M. rugicollis (Walker, 1858). J. Trogoxylon impressum (Comolli, 1837).
FIGURE 5 in An annotated synopsis of the powder post beetles (Coleoptera: Bostrichidae) of Mainland China
FIGURE 5. Dorsal view of Genus Sinoxylon. A. S. anale Lrsne, 1897, lateral view. B. S. atratum Lesne, 1897, cotype (NHML). C. S. dichroum Lesne, 1906. D. S. eucerum Lesne, 1932. E. S. flabrarius Lesne, 1906. F. S. japonicum Lesne, 1895. G. S. mangiferae Chûjô, 1936. H. S. pygmaeum Lesne, 1897. I. S. rejectum (Hope, 1845). J. S. sexdentatum (Olivier, 1790). K. S. tignarium Lesne, 1902. L. S. unidentatum (Fabricius, 1801).
FIGURE 4 in An annotated synopsis of the powder post beetles (Coleoptera: Bostrichidae) of Mainland China
FIGURE 4. Dorsal view of tribe Bostrichini. A. Bostrichus capucinus (Linnaeus, 1758). B. Dolichobostrychus yunnanus Lesne, 1913. C. Micrapate simplicipennis (Lesne, 1895). D. Parabostrychus elongatus (Lesne, 1895). E. Lichenophanes carinipennis (Lewis, 1896). F. Parabostrychus acuticollis Lesne, 1913, lateral view. G. Heterobostrychus aequalis (Waterhouse, 1884) male. H. H. hamatipennis (Lesne, 1895), dorsal view of male's declivity. I. H. aequalis, female. J. H. pileatus Lesne, 1899, heteromorphic male. K, L. H. pileatus Lesne, 1899, homeomorphic male.
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.