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135 results for “anisotropy”
Remaining bands of Forward scattering data of AnisoVeg: Anisotropy and Nadir-normalized MODIS MAIAC datasets for satellite vegetation studies in South America
<p><strong>Title: Remaining bands of Forward scattering data of AnisoVeg: Anisotropy and Nadir-normalized MODIS MAIAC datasets for satellite vegetation studies in South America</strong></p> <p>Ricardo Dalagnol (ricds@hotmail.com)</p> <p> </p> <p><strong>This dataset is associated with the dataset found in the Zenodo repository below and a paper under review. Feel free to use this dataset, but please cite the repository below (while the paper is under review).</strong></p> <p>Dalagnol, Ricardo; Galvão, Lênio Soares; Wagner, Fabien Hubert; Moura, Yhasmin Mendes; Gonçalves, Nathan; Wang, Yujie; Lyapustin, Alexei; Yang, Yan; Saatchi, Sassan; Aragão, Luiz Eduardo Oliveira e Cruz. (2022). "AnisoVeg: Anisotropy and Nadir-normalized MODIS MAIAC datasets for satellite vegetation studies in South America". (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3878879</p>
Forward scattering data of AnisoVeg: Anisotropy and Nadir-normalized MODIS MAIAC datasets for satellite vegetation studies in South America
<p><strong>Title: Forward scattering data of AnisoVeg: Anisotropy and Nadir-normalized MODIS MAIAC datasets for satellite vegetation studies in South America</strong></p> <p>Ricardo Dalagnol (ricds@hotmail.com)</p> <p> </p> <p><strong>This dataset is associated with the dataset found in the Zenodo repository below and a paper under review. Feel free to use this dataset, but please cite the repository below (while the paper is under review).</strong></p> <p>Dalagnol, Ricardo; Galvão, Lênio Soares; Wagner, Fabien Hubert; Moura, Yhasmin Mendes; Gonçalves, Nathan; Wang, Yujie; Lyapustin, Alexei; Yang, Yan; Saatchi, Sassan; Aragão, Luiz Eduardo Oliveira e Cruz. (2022). "AnisoVeg: Anisotropy and Nadir-normalized MODIS MAIAC datasets for satellite vegetation studies in South America". (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3878879</p>
t1-Noise Elimination by Continuous Chemical Shift Anisotropy Refocusing
<p>Data archived here corresponds to the experimental and simulation data discussed in the Solid-State Nucl. Magn. Reson. paper:<br> "t1-Noise Elimination by Continuous Chemical Shift Anisotropy Refocusing". This includes the recoupling time optimizations and 2D D-HMQC spectra performed using the SR4^2_1, TONE with SR4^2_1 and the CSA-free SR6^3_2 recoupling sequences on 15N-glycine, Y-MOF-76, Histidine hydrochloride, and Al(acac)3, in addition to the SIMPSON simulations of the various sequences as a function of the MAS rate offset.</p>
Data for 'Experimental Determination of a Single Atom Ground State Orbital through Hyperfine Anisotropy'
<p>This folder contains the raw data and scripts used for the paper <em>'Experimental Determination of a Single Atom Ground State Orbital through Hyperfine Anisotropy'</em>.</p>
Burial impact on the Tatra Mts from a rock magnetic and magnetic fabric perspective: anisotropy of magnetic susceptibility data
<p>The dataset contains anisotropy of magnetic susceptibility (in-phase, out-of-phase and frequency dependent) analyses of Cretaceous and Paleogene rocks of the Tatra Mts and their surrounding area.</p>
Mantle Anisotropy and Asthenospheric Flow Around Cratons in Southeastern South America
<p>Dataset of SWS individual measurements from the paper Mantle Anisotropy and Asthenospheric Flow Around Cratons in Southeastern South America, submitted to the Journal of Geophysics International.</p>
Data set for: Crustal Azimuthal Anisotropy Beneath the Southeastern Tibetan Plateau and its Geodynamic Implications
<p>Abstract of the original paper:</p> <p>Zheng, T., Ding, Z., Ning, J., Chang, L., Wang, X., Kong, F., Liu, K.H., & Gao, S.S. (2018).<br> Crustal azimuthal anisotropy beneath the southeastern Tibetan Plateau and its geodynamic implications.<br> <em><strong>Journal of Geophysical Research: Solid Earth, 123(11)</strong>, 9733-9749. </em> <a href="https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018JB015995"> https://doi.org/10.1029/2018JB015995</a></p> <p>The fast orientation and magnitude of crustal azimuthal anisotropy beneath the southeastern Tibetan Plateau and adjacent areas are measured by analyzing the sinusoidal moveout of the <em>P</em> to <em>S</em> converted phase from the Moho. Beneath the tectonically active plateau, the mean magnitude is 0.48 ± 0.13 s, which is about twice as large as that observed in the stable Sichuan Basin (0.23 ± 0.10 s). The two areas are separated by the Longmenshan fault zone, a zone of devastating earthquakes including the 12 May 2008 <em>M</em><sub><em>W</em></sub> 7.9 Wenchuan earthquake. Fault orthogonal fast orientations observed in the southern Longmenshan fault zone, where previous studies have revealed high crustal <em>V</em><sub><em>p</em></sub>/<em>V</em><sub><em>s</em></sub> and suggested the presence of mid‐lower crustal flow, may reflect flow‐induced lattice preferred orientation of anisotropic minerals. Fault parallel anisotropy in the central segment of the fault zone is most likely related to fluid filled fractures, and fault perpendicular extensional cracks are probably responsible for the observed anisotropy in the northern segment. The crustal anisotropy measurements, when combined with results from previous studies, suggest the existence of mid‐lower crustal flow beneath the southeastern margin of the plateau. Comparison of crustal anisotropy obtained before and after the Wenchuan earthquake suggests that the earthquake has limited influence on whole crustal anisotropy, although temporal changes of anisotropy associated with the earthquake have been reported using splitting of shear waves from local earthquakes occurred in the upper crust.</p>
Proton temperature anisotropy constraint associated with alpha beam instability in the solar wind
<p>Simulation data and code repository for the paper "Proton temperature anisotropy constraint associated with alpha beam instability in the solar wind". This repository contains the particle-in-cell hybrid simulation code based on CAM-CL scheme and the simulation results. The parameter files are also included in the archived tar file. Another package contains the files for the data used in the paper.</p> <p> </p>
3-D Crustal Vp, Vs, Vp anisotropy tomography models of the Suqian segment of the Tanlu fault zone
<p>3-D Crustal Vp, Vs, Vp anisotropy tomography models of the Suqian segment of the Tanlu fault zone</p>
Bright correlated twin-beam generation and radiation shaping in high-gain parametric down-conversion with anisotropy
<p>Dataset of the publication “Bright correlated twin-beam generation and radiation shaping in high-gain parametric down-conversion with anisotropy“, M. Riabinin, P. R. Sharapova, and T. Meier, Optics Express 29, 21876 (2021) ( <a href="https://doi.org/10.1364/OE.424977">https://doi.org/10.1364/OE.424977</a> ). The zip file includes the data on which the plots shown in figures 2, 3, 4, 6, 7, and 8 are based.</p>
The dataset for "Force-free current sheets in the Jovian magnetodisk: a key role of electron field-aligned anisotropy"
<p>The dataset for "Force-free current sheets in the Jovian magnetodisk: a key role of electron field-aligned anisotropy" submitted to J. Geophys. Res. This dataset contains information about 18 current sheet in the Jovian magnetodisk. PDF file includes the table and eighteen figures with current sheets. The table lists corresponding dates/times of the current sheet crossings by Juno spacecraft. Archive includes ASCII flies with data plotted on these figures.</p>
Modeling Seismic Anisotropy Beneath the Island of Hispaniola via the Harmonic Decomposition of Receiver Functions
<p>Teleseismic earthquakes data from 17 three-component broadband seismic stations of Hispaniola Island for the years 2016-19.</p>
Supporting data for the manuscript: Sound velocity anisotropy and single-crystal elastic moduli of MgO to 43 GPa
<p><span>The uploaded two sets of experimental data contain the raw TDBS signals recorded at each pressure step for the MgO [100] and [111] samples. Please note that each ".txt" file contains two columns of data, the first column is time in picosecond, the second column is the relative change of reflectivity.</span></p> <p><span>The uploaded Tables "Table MgO 100" and "Table MgO 111" summarize our processed experimental data, as well as the recently measured refractive indexes and accordingly the derived longitudinal sound velocities. In which, the pressures are given in GPa, Brillouin frequencies in GHz, longitudinal sound velocities </span><em><span>V</span></em><span>L<100> </span><span>and </span><em><span>V</span></em><span>L<</span><span>111></span><span> in km/s. Refractive indexes are dimensionless.</span></p>
Spin sensitive transport in spin liquid candidate RuCl3: revealing a robust spin anisotropy
<p>Source data of manuscript's figures.</p>
ZZ and TT cross-correlation functions, shear wave velocity and radial anisotropy models in the Bohai Bay basin
<p>This dataset contains three parts: ambient noise cross-correlation functions (ZZ and TT), S-wave velocity models and radial anisotropy models in the Bohai Bay basin.</p>
Inverted S-wave velocity model for "Anomalous radial anisotropy and its implications for upper mantle dynamics beneath South China from multimode surface wave tomography"
<p># Instructions for the South China velocity model dataset from multi-mode surface-wave inversion.</p> <p> </p> <p>1. The detailas can be found at the paper: Tang Q, Sun W, Yoshizawa K, et al. Anomalous radial anisotropy and its implications for upper mantle dynamics beneath South China from multimode surface wave tomography. Journal of Geophysical Research: Solid Earth, 2022, 127(8): e2021JB023485.</p> <p> </p> <p>2. The relative SV-wave and SH-wave velocity models at different depths (from 0 to 300 km) are stored in the "data" foder. Each file follows the name convention: shear_{SV/SH}.{depth}.dat representing SV or SH velocity at a given depth.</p> <p> </p> <p>3. In each velocity file, each line have three columns: longitude (deg) latitude (deg) relative_velocity (%)</p> <p> </p> <p>4. The reference velocity can be found in the two files "SV_velocity" and "SH_velocity", depth and velocity.</p> <p> </p> <p>5. The relative velocity is calculated from (absolute-reference)/reference*100%. Thus one can have the absolute velocity via absolute = relative * (1+relative/100).</p>
Supporting data for the manuscript: Sound velocity anisotropy and single-crystal elastic moduli of MgO to 43 GPa
Open the record for dataset details and reuse information.
Intrinsic elastic anisotropy of Westerly granite observed by ultrasound measurements, microstructural investigations and neutron diffraction
Open the record for dataset details and reuse information.
Shear wave splitting measurements used in "Spatio-temporal Analysis of Seismic Anisotropy Associated with the Cook Strait and Kaikoura Earthquake Sequences in New Zealand"
<p>Shear wave splitting measurement used in "Spatio-temporal Analysis of Seismic Anisotropy Associated with the Cook Strait and Kaikoura Earthquake Sequences in New Zealand" is included here. This CSV and XLSX file are part of a paper submitted to GJI in April 2020. A detailed description of the column headers can be found in the MFAST manual, in table 4, at http://mfast-package.geo.vuw.ac.nz/mfast_manual_v2.2.pdf</p>
Characterization of the Shape Anisotropy of Superparamagnetic Iron Oxide Nanoparticles during Thermal Decomposition
<p>Magnetosomes are near-perfect intracellular magnetite nanocrystals found in magnetotactic bacteria. Their synthetic imitation, known as superparamagnetic iron oxide nanoparticles (SPIONs), have found applications in a variety of (nano)medicinal fields such as magnetic resonance imaging contrast agents, multimodal imaging and drug carriers. In order to perform these functions in medicine, shape and size control of the SPIONs is vital. We sampled SPIONs at ten-minutes intervals during the high-temperature thermal decomposition reaction. Their shape (sphericity and anisotropy) and geometric description (volume and surface area) were retrieved using three-dimensional imaging techniques, which allowed to reconstruct each particle in three dimensions, followed by stereological quantification methods. The results, supported by small angle X-ray scattering characterization, reveal that SPIONs initially have a spherical shape, then grow increasingly asymmetric and irregular. A high heterogeneity in volume at the initial stages makes place for lower particle volume dispersity at later stages. The SPIONs settled into a preferred orientation on the support used for transmission electron microscopy imaging, which hides the extent of their anisotropic nature in the axial dimension, there by biasing the interpretation of standard 2D micrographs. This information could be feedback into the design of the chemical processes and the characterization strategies to improve the current applications of SPIONs in nanomedicine.</p>
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