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7 results for “tilt angle”

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zenodo44/100

Dataset for "Universality of grain boundary phases in fcc metals: Case study on high-angle [111] symmetric tilt grain boundaries"

<p>This repository contains the input files, scripts, and raw data of the simulations for the paper &quot;Universality of grain boundary phases in fcc metals: Case study on high-angle [111] symmetric tilt grain boundaries&quot;.</p> <p>This data comprises structures of grain boundaries in high-angle [111] symmetric tilt grain boundaries in fcc metals as modeled by various (M)EAM potentials. Investigations include ground state thermodynamic excess properties, excess free energy calculations under stress or strain and with varying temperature, and related molecular dynamics simulations.</p> <p>See README.md for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Cryo-EM/Cryo-ET raw images and tilt series for the figures in the paper entitled "Angle Between DNA Linker and Nucleosome Core Particle Regulates Array Compaction by Individual-Particle Cryo-Electron Tomography"

<p>Cryo-EM and cryo-ET raw images and tilt-series for the 3D reconstructions showed in the Figures of the paper entilted "Angle between DNA linker and nucleosome core particle regulates array compaction by individual-particle cryo-electron tomography"</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Dataset: Hourly Solar Radiation at Tilt Angle and Direction in Tel Aviv

<p><span>This dataset is based on hourly month averages of a typical year in Tel Aviv as determined by the Israel Meteorological Service. The results are for every hour for 6 tilt angles and 16 directions.</span></p> <p><span>The dataset is in two parts. The first part contains the global radiation every hour in 6 tilt angles and 16 directions in Tel Aviv, expressed in W/m2.</span></p> <p><span>The second part contains conversion factors from global radiation on the horizontal surface to the selected tilt angle and direction. </span></p> <p><span>The dataset includes 96 tables expressed in W/m2 and 96 tables of conversion factors. Each table contains data for each hour between 5:00 and 19:00 each month, 180 items per table. Total the dataset includes 17,280 conversion factors and the same number of global radiation records in W/m2.</span></p> <p><span>The dataset is available online at nowagreen.com/se.</span></p> <p>&nbsp;</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Mutually validated Tilt Angle Dataset

<h1>Mutually-Validated Tilt Angle Dataset</h1> <p>This dataset provides reliable sunspot group/active region(AR) tilt angle data and several other parameters from 1996 to 2018.</p> <h1>Overview</h1> <p>The dataset is generated by mutually validating two existing datasets: (1)&nbsp;<strong>A-live-homogeneous-database-of-solar-active-regions</strong> by Ruihui Wang, Jie Jiang and Yukun Luo (<strong>WJL</strong>), and (2) <strong>Debrecen Photoheliographic Data sunspot catalogue</strong> by Baranyi, T., Győri, L. and Ludm&aacute;ny, A. (<strong>DPD</strong>). The original datasets can be downloaded via their websites: <a href="https://github.com/Wang-Ruihui/A-live-homogeneous-database-of-solar-active-regions">A-live-homogeneous-database-of-solar-active-regions</a> and <a href="http://fenyi.solarobs.epss.hun-ren.hu/en/databases/DPD/">Debrecen Photoheliographic Data</a></p> <p>The mutual validation is automatically accomplished by Python. The code, mutual<strong>_validation.py</strong>, is attached. For a more detailed description of the mutual validation method, see Lang Qin, Jie Jiang, Ruihui Wang, Mutual Validation of Datasets for Analyzing Tilt Angles in Solar Active Regions(APJ under review)</p> <div> <h1>Data Description</h1> </div> <p>The mutually validated datset is in the file <strong>mutually_validated_tilt_angle_dataset.xlsx</strong>. There are 14 columns, each contains a type of parameter. The meanings of each header are as follows:</p> <blockquote> <p>date_dpd: date of observation in DPD dataset</p> <p>lat_dpd: heliographic latitude of the sunspot group</p> <p>lon_dpd: (Carrington) heliographic longitude of the sunspot group</p> <p>area_dpd: the total area of the sunspot group in&nbsp;&mu;MSH</p> <p>tilt_dpd: the tilt angle of the sunspot group</p> <p>date_wjl: date of observation in WJL dataset</p> <p>lat_wjl: heliographic latitude of the active region</p> <p>lon_wjl: (Carrington) heliographic longitude of the active region</p> <p>area_wjl: the total area of the active region in&nbsp;&mu;MSH</p> <p>flux_wjl: the total unsigned magnetic flux of the active region in Mx</p> <p>tilt_wjl: the tilt angle of the active region</p> <p>number: the NOAA number</p> <p>CR: the Carrington rotation number of the sunspot group/active region</p> <p>consistency: the marker of whether the two tilt angle values are close enough to be considered consistent. "1" means consistent and "0" means inconsistent</p> </blockquote> <div> <h1>Author</h1> </div> <p>Lang Qin, Jie Jiang, Yukun Luo</p>

openmit-licenseOct 2024View details →
zenodo32/100

High-definition electron diffraction patterns and their indexation results of a polycrystal Al-Mg sample of various tilt angles

<p>This dataset of 2 EBSD scans, each of 1200 high-resolution (1200&times;1600) electron diffraction patterns, is&nbsp;acquired from the same area of an unstrained polycrystal Al-Mg sample. The patterns are recorded by a Bruker eFlashHD&nbsp;camera mounted on Tescan MAIA3. The&nbsp;sample tilt angle is 60&deg;&nbsp;and 65&deg;,&nbsp;the step size&nbsp;1.625 &micro;m, the beam current 10 nA and the accelerate voltage 20kV. The EBSD acquisition with tilt angle 70&deg; is shared in the link https://doi.org/10.5281/zenodo.6990325. The indexation results, in format &#39;mat&#39; of Matlab, by integrated digital image correlation (IDIC&nbsp;EBSD) and integrated digital image correlation based on gradients (IDIC-G EBSD)&nbsp;are also provided. For each diffraction pattern, 6 parameters are stocked, i.e. the Euler angle triplet (expressed in radians and with reference&nbsp;to&nbsp;the EBSD detector) and&nbsp;the coordinates of the projection center.</p>

opencc-by-4.0Jan 2023View details →
ClinicalTrials.gov24/100

Predicting Female Pelvic Tilt and Lumbar Angle Using Machine Learning in Case of Urinary Incontinence and Sexual Dysfunction

ClinicalTrials.gov study NCT05803512. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Impact of Tilt Angle on Conduction Defects During Transcatheter Aortic Valve Implantation (TAVI)

ClinicalTrials.gov study NCT04083040. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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