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96 results for “Material Properties”
Data from: High-throughput screening of inorganic compounds for dielectric and optical properties to enable the discovery of novel materials
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Data from: Assessment of dynamic material properties of intact rocks using seismic wave attenuation: an experimental study
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Material properties of biomolecular condensates regulates RNA splicing and tumorigenesis
GEO Series GSE122308. Mus musculus; Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
RESEARCH OF THE PROPERTIES OF COMPOSITE MATERIALS, USED IN LAYOUTS OF FUR SEMI-FINISHED PRODUCTS
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Characterization and impact of fiber size variability on the mechanical properties of fiber networks with an application to paper materials
<p>This repository contains data to</p> <p>Characterization and impact of fiber size variability on the mechanical properties of fiber networks with an application to paper materials</p> <p>In prep. 2021.</p> <p> </p> <p>There are a few key files to note:</p> <ul> <li><a href="https://zenodo.org/api/files/c161a833-8968-4d9f-bc1e-1bd6ea8a89ad/mainArticleE.m?versionId=e434d0da-db30-4588-a807-de72c4187468">mainArticleE.m </a><br> Generates a number of plots from the manuscript, and also contains calls to the functions that can be used to study how the copula formulation can be used and worked with.</li> </ul> <p> </p> <ul> <li><a href="https://zenodo.org/api/files/c161a833-8968-4d9f-bc1e-1bd6ea8a89ad/calculationSequenceForArticle.m?versionId=be372e6e-6eda-4ba5-b78b-2c8966de45f0">calculationSequenceForArticle.m </a><br> Shows the steps performed in the fitting and sampling that are presented in the manuscript.</li> </ul> <p> </p> <ul> <li><a href="https://zenodo.org/api/files/c161a833-8968-4d9f-bc1e-1bd6ea8a89ad/data.zip">data.zip </a><br> Contains all of the data. Raw machine outputs, condensed outputs (several runs collected into a single file), the ESI simulations and the result files used to generate the plots. The full solution files are not included as they would have taken way too much space. However, the input files can be found in each repository.</li> </ul> <p> </p> <ul> <li><a href="https://zenodo.org/api/files/c161a833-8968-4d9f-bc1e-1bd6ea8a89ad/v1.0.zip?versionId=8134396c-687b-4c31-a220-d27676f391cf">v1.0.zip </a><br> Output from <a href="https://zenodo.org/api/files/c161a833-8968-4d9f-bc1e-1bd6ea8a89ad/calculationSequenceForArticle.m?versionId=be372e6e-6eda-4ba5-b78b-2c8966de45f0">calculationSequenceForArticle.m </a>just before submission.</li> </ul> <p> </p> <p>The FEM files are not included (MyPacking.exe - an internal tool I do not own the rights to, and the linked ANSYS executable which I likewise do not own the rights to).</p> <p>Also absent is the "pulpDistr" package (will be a seperate ZENODO submission)-</p> <p> </p> <p> </p> <p>Should something not work, please do get in touch.</p> <p> </p> <p>/A. Brandberg, 2021-08-10</p> <p> </p> <p> </p>
Figure Sets, Catalog Tables, and Other Technical Materials Related to "ALMA-IMF IX: Catalog and Physical Properties of 315 SiO Outflow Candidates in 15 Massive Protoclusters"
<p>This Zenodo DOI contains additional data products and technical files for the publication "ALMA-IMF IX: Catalog and Physical Properties of 315 SiO Outflow Candidates in 15 Massive Protoclusters" (Towner et al. 2024).</p> <p>All files, metadata, and other components and materials in this Zenodo entry are licensed under Creative Commons license CC-BY-NC 4.0. This license allows for non-commercial use so long as proper attribution is given to the original creator. Commercial use of these materials is prohibited. Further details of this license can be found on the Creative Commons website at: https://creativecommons.org/licenses/by-nc/4.0/ </p> <p> </p> <p>This upload contains:</p> <p>1. The Figure Set for Figure 1. The .png summary figures are contained in 5 zip files (Figset1_part1of5.zip, etc.). The file naming structure is <fieldname>_<candididatename>.summary.png, i.e. the summary figure for Candidate #1 in Field G008.67 is G008.67_s1.summary.png.</p> <p>2. The Figure Set for Figure C1. All 15 .png files are contained in the file "FigsetD1_all.zip." Please note: due to post-acceptance edits at the proofing stage, there is no Appendix D in the ApJ article. All files with "D1" in the name refer to either Figure Set C1 or Table C1 in the ApJ publication, as appropriate. </p> <p>3. ECSV versions of Table 3 and Table C1 (labeled as "D1" in this upload), and a LaTeX version of Table 3.</p> <p>4. CRTF apertures and position-velocity paths for all candidates, and FITS files of the position-velocity diagrams for all candidates. The relevant file is "apertures_paths_pvdiagrams.zip." This file contains a directory structure. There are 15 subdirectories, each named for the field to which it corresponds. Within each subdirectory are the aperture and pvpath CRTF files, and the PV diagram FITS files. </p> <p> a. Apertures follow the naming convention s??_aperture.crtf, where "??" is the candidate number. Apertures are color-coded by outflow color (red outflows use red lines, blue outflows use blue, and bipolar outflows use purple/magenta). The aperture for G008.67 Candidate #1 is named s1_aperture.crtf, etc.</p> <p> b. Position-velocity paths follow the naming convention "s??_path<.direction>.crtf" where <.direction> is ".ra" or ".dec" or blank (""). Directions are necessary because CARTA saves point-like regions in the order in which they were last modified. In order to ensure the points are used in the correct order in pvextractor (or another program), users should first sort the points in the CRTF file in order of increasing ra (for files containing ".ra") or increasing dec (for files containing ".dec"). Files without a <.direction> in the name indicate that the candidate is classified as "complex or cluster" and so sorting is not particularly relevant. </p> <p> c. Position-velocity diagrams are uploaded as FITS files, and follow the naming convention "s??_pvslice.fits" where "??" is the candidate number. Note that some paths are extremely short and thus their PV diagrams can be difficult to read. Although all PV diagrams are shown as square in Towner et al. (2024), allowing the PV diagram to display with its natural aspect ratio may be more useful in some cases.</p> <p> </p> <p>Final note:</p> <p>The FITS cubes used in this analysis are not uploaded to Zenodo due to upload size limitations. The full cubes and continuum images for each field can be found on the ALMA-IMF Project website (https://www.almaimf.com/data.html). Cubes cut to +/- 95 km/s, noise cubes, and cubes in units of K instead of Jy/beam can be requested by emailing Dr. Allison Towner at apmtowner [at] gmail.com.</p>
In Vivo Study on the Material Properties of iRoot SP and nRoot SP Root Canal Sealers
ClinicalTrials.gov study NCT07388901. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of the Functional Properties of Two Injectable Materials in Posterior Teeth: Randomized Clinical Trial
ClinicalTrials.gov study NCT06894186. IPD Sharing: UNDECIDED. Countries: 0. Publications: 10.
Aqueous Flare of a Hydrophobic Acrylic Single-piece Open-loop IOL With Modified Material Surface Properties
ClinicalTrials.gov study NCT01767012. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Aurora A Regulates the Material Property of Spindle Poles to Orchestrate Nuclear Organization at Mitotic Exit
GEO Series GSE277941. Homo sapiens. 8 samples. Type: Other.
BMP-dependent patterning of ectoderm tissue material properties modulates lateral mesendoderm cell migration during early zebrafish gastrulation
GEO Series GSE251904. Danio rerio. 8 samples. Type: Expression profiling by high throughput sequencing.
Material properties
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Properties of Absorbable and Nonabsorbable Suture Material in Dental Surgery
ClinicalTrials.gov study NCT04234308. IPD Sharing: NO. Countries: 0. Publications: 0.
Spectral and thermometric properties altering through crystal field strength modification and host material composition in luminescent thermometers based on Fe3+ doped AB2O4 type nanocrystals (A= Mg, Ca; B=Al, Ga)
<p>The growing interest in the use of luminescence thermometry for noncontact temperature reading in very specific conditions imposes the need to develop an approach allowing modification of the luminescence parameters of the thermometer accordingly to the requirements. Therefore, in response to these expectations, this manuscript reports an approach to modulating the spectral position and the luminescence thermal quenching rate of Fe<sup>3+</sup> ions by modifying the crystal field strength and the host material composition of nanocrystalline AB<sub>2</sub>O<sub>4</sub> type nanocrystals (A= Mg, Ca; B=Al, Ga). It was proved that in a group of MgAl<sub>2</sub>O<sub>4</sub>, MgGa<sub>2</sub>O<sub>4</sub>, CaAl<sub>2</sub>O<sub>4</sub>, and CaGa<sub>2</sub>O<sub>4</sub> nanocrystals doped with Fe<sup>3+</sup> ions the emission spectral range, as well as the relative thermal sensitivity (from 0.2%/<sup>o</sup>C for MAO to 2.07%/<sup>o</sup>C for CGO) and the operating temperature range, can be easily modified by the host material composition. For instance, a maximal relative thermal sensitivity of 2.58%/<sup>o</sup>C is obtained for Fe<sup>3+</sup>, Tb<sup>3+</sup> co-doped CaAl<sub>2</sub>O<sub>4 </sub>nanocrystals. The proposed approach is a step toward the intentional designing of the highly sensitive luminescent thermometer.</p>
Key Control Characteristics of Carbon Black Materials for Fuel Cells and Batteries for a standardized characterization of surface properties
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Predicting the tensile properties of Wood Plastic Composites using material extrusion with Meta-based Few-Shot Learning
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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.