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1,938 results for “Resonances”
Dynamic deformation calculation of articular cartilage and cells using resonance-driven laser scanning microscopy - Osmotic Challenge and Validation Testing Dataset
<p>This archive contains 3-D image stacks obtained over time of articular cartilage undergoing osmotic swelling. These were acquired with a resonance scanning protocol, which allows for fast scanning but with decreased image quality. The Python package, resonant_lsm, was developed to segment and analyze the deformation of cells in such images. The archive also contains validation testing data of this software. Included README files document the archive contents and how to reproduce the analyses. </p>
Magnetic Resonance Features of Liver Mucinous Colorectal Metastases: what the radiologist should know
<p>I uploaded the images of the manuscript "Magnetic Resonance Features of Liver Mucinous Colorectal Metastases: what the radiologist should know" with the aim to asssess MRI features of mucinous liver metastases compared to non-mucinous metastases and hepatic hemangioma.</p>
Data and code for figures of "Gigahertz free-space electro-optic modulators based on Mie resonances" by Benea-Chelmus et al.
<p>This upload contains the main dataset represented in the figures of the following publication:</p> <p>"Gigahertz free-space electro-optic modulators based on Mie resonances"" by Benea-Chelmus et al.</p>
Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern
<p>I upload the images of the manuscript "Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern".</p>
Data from: Passive mode-locking and terahertz frequency comb generation in resonant-tunneling-diode oscillator
<p>All the raw data and processed data used in the figures in the main text and Supplementary Information in the article "Passive mode-locking and terahertz frequency comb generation in resonant-tunneling-diode oscillator."</p>
Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases
<p>I uploaded the images of the manuscript Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases.</p>
1H, 11B and 1H-11B HSQC spectra for the paper "The assignment of 11B and 1H resonances in the post-reaction mixture from the dry synthesis of Li(BH3NH2BH2NH2BH3)"
<p>Complete NMR datasets (Varian format) for the paper Nawrocka et al. "The assignment of 11B and 1H resonances in the post-reaction mixture from the dry synthesis of Li(BH3NH2BH2NH2BH3)" (DOI: 10.1002/mrc.5309)</p>
Source Data for Direct observations of energy transfer from resonant electrons to whistler-mode waves in magnetosheath of Earth
<p>Source Data files for figures and Supplementary figures in the manuscript "Direct observations of energy transfer from resonant electrons to whistler-mode waves in magnetosheath of Earth".</p> <p>Source_Data.zip includes data files (.txt or .xlsx) for each panel in the figures.</p> <p>tplot_save_files_w_load_procedures_for_time_series_plots.zip includes, tplot save files (.tplot) of time series plot figures and procedures to load and plot the tplot save files with SPEDAS (bleeding edge >r31062).</p>
Correlation analysis of epicardial adipose tissue and ventricular myocardial strain in Chinese amateur marathoners using cardiac magnetic resonance
<p><span>The volume of epicardial adipose tissue (EAT) is associated with an increased incidence of cardiovascular disease (CVD); however, only a few studies have examined its effect on the myocardial function of endurance in athletes. The association between the EAT and the variation of myocardial function is still unclear in amateur marathoners. Consequently, by using some sedentary individuals as the control, this study aims to evaluate the correlation between the EAT volume and the myocardial strain in the left and right ventricles of Chinese amateur marathoners by cardiac magnetic resonance (CMR).</span>The volume of epicardial adipose tissue (EAT) is associated with an increased incidence of cardiovascular disease (CVD); however, only a few studies have examined its effect on the myocardial function of endurance in athletes. The association between the EAT and the variation of myocardial function is still unclear in amateur marathoners. Consequently, by using some sedentary individuals as the control, this study aims to evaluate the correlation between the EAT volume and the myocardial strain in the left and right ventricles of Chinese amateur marathoners by cardiac magnetic resonance (CMR).</p>
Design 3D CAD data of an oversized-sample 35 GHz EPR resonator with an elevated Q value
<pre>Supplemental data for the manuscript “Design and performance of an oversized 35 GHz EPR resonator with an elevated Q value” General information The CAD dimensions match the dimension of the manufactured resonator/probehead. Not depicted in the CAD file are the modulation coils (the modulation coil holders on the sides of the cavity block are shown) and the mechanical connection between the coupling screw on top flange of the resonator and the movable coupling piston at the bottom. Autodesk Inventor files The assembly of the whole resonator is stored as “Qband_CW_Probenkopf”. All dependent subassemblies and parts can be found in the folder “Q_band_CW_resonator_Inventor”. 3D files for Open source software The complete resonator is stored in the file “Qband_CW_Probenkopf.stl”. Since in this file all resonator components are merged into a single unit and cannot be depicted on their own, all resonator components are also stored seperately as .obj-files in the folder “Qband_CW_Probenkopf_obj_format”.</pre>
Data and code for "Combining ultrahigh index with exceptional nonlinearity in resonant transition metal dichalcogenide nanodisks."
<div># Data and code for "Combining ultrahigh index with exceptional nonlinearity in resonant transition metal dichalcogenide nanodisks."</div> <div> </div> <div>## Contents</div> <div> </div> <div>* `chi2-dft`: DFT calculations of the chi(2) nonlinear susceptibility tensor</div> <div>* `shg-exp`: explicit spectra of the SHG from a flake and resonant disks</div> <div> </div> <div>## Description of the data</div> <div> </div> <div>The data are organized as follows:</div> <div> </div> <div>* `chi2-dft/plot_chi2.{py,m}`: plotting scripts for python and matlab</div> <div>* `chi2-dft/shg-3R-MoS2-chi2.*`: binary dataset for plotting chi2 and plot thereof</div> <div>* `chi2-dft/nlo`: folder with scripts for data reproduction and structure file</div> <div>* `chi2-dft/nlo/shg-lg`: folder with chi2 tensor elements, numpy format; used for plotting with python</div> <div> </div> <div>* `shg-exp/disk-specs`: data and matlab script to plot explicit SHG spectra of the disks</div> <div>`shg-exp/disk-specs/D*_***nm_1s_03mW.asc/` - D* - disk number 1,2,3; ***nm - pump wavelength 810-910-1020nm; 1s - signal collection time in seconds;03mW - pump power in mW</div> <div>* `shg-exp/flake-specs`: data and matlab script to plot explicit SHG spectra and log-log power dependence of the thin flake</div> <div>`shg-exp/flake-specs/***nm_*.*mw_0.5s_H8_3R_MoS2.asc/` - ***nm - pump wavelength 800:10:1040nm; *.*mW - pump power in mW; 0.5s - signal collection time in seconds;</div> <div> </div> <div>## Reproduction of the data</div> <div> </div> <div>The DFT calculations were performed using GPAW (https://wiki.fysik.dtu.dk/gpaw/index.html) and the nonlinear optical response approach (https://wiki.fysik.dtu.dk/gpaw/tutorialsexercises/opticalresponse/nlopt/nlopt.html). The scripts are in a form suitable for cluster calculations and use global WALLTIME/STARTTIME parameters. Calculation of the SHG spectrum is set up such that one call of the script in a cluster environment will run one tensor element calculation and then exit. The calculations of the data consist of the following steps:</div> <div> </div> <div>1. Ground-state (gs) calculation:</div> <div> * `chi2-dft/nlo/gs.py` -- plane wave calculations for the `rlx-3R-MoS2-bulk.xyz` structure file using the plane wave mode, 500 eV cutoff, PBE xc-functional. Other parameters are in the `setting.py` file.</div> <div> * Generates the `gs.gpw` file.</div> <div>2. Calculation of unoccupied bands:</div> <div> * Requires finished ground-state calculation.</div> <div> * `chi2-dft/nlo/unocc.py`</div> <div> * This step is optional is the required number of bands calculated in the `gs` step is sufficient.</div> <div> * Generates the `unocc.gpw` file.</div> <div>3. Calculate the matrix elements:</div> <div> * Requires finished ground-state calculation (`gs.gpw`)</div> <div> or</div> <div> * unoccupied bands calculation (`unocc.gpw`)</div> <div> * `chi2-dft/nlo/mommat.py`</div> <div> * Generates the `mml.npz` file.</div> <div>4. Calculation of the SHG spectrum:</div> <div> * Requires the calculated matrix elements (`mml.npz` file).</div> <div> * `chi2-dft/nlo/shg.py` -- computes one chi2 tensor element from the `mml.npz` file. Designed to run in a HPC environment. Will look for the first nonexistent `abc` tensor element in folder and calculate it. Rerun the script to calculate additional ones or rewrite the script to calculate all required elements in one loop.</div> <div> </div>
Search Strategies for the Generic Justification Evidence Synthesis: magnetic resonance guided radiotherapy
<p>The dataset includes the complete, reproducible search strategies for all bibliographic databases searched during this project. The search strategies were designed to answer the following research questions: </p> <p><strong>RQ1.</strong> In patients with cancer requiring radiotherapy, does the choice of image-guided modality (MRgRT versus other) result in a difference in clinical effectiveness?</p> <p><strong>RQ2. </strong>In patients with cancer requiring radiotherapy, does the choice of image-guided modality (MRgRT versus other) result in a difference in potential harms?</p> <p> </p>
Data From: Investigation of nonlocal granular fluidity models using nuclear magnetic resonance
<p>This data set contains the rheo-NMR data presented in the article: Clarke D.A., Poata, J., Galvosas, P., and Holland, D.J. Investigation of nonlocal granular fluidity models using nuclear magnetic resonance. <em>Physics of Fluids</em> 1 May 2024; 36 (5): 053317. <a href="https://doi.org/10.1063/5.0203032" target="_blank" rel="noopener">https://doi.org/10.1063/5.0203032</a></p> <p> </p> <p>Edit History:</p> <ul> <li> 01-MAR-2024: Updated title to match change made to submitted article.</li> <li> 09-MAY-2024: Included journal issue information and DOI.</li> </ul>
Risk Assessment and Radiomics Analysis in Magnetic Resonance Imaging of Pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN)
<p>I uploaded the original images of the manuscript "Risk Assessment and Radiomics Analysis in Magnetic Resonance Imaging of Pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN)" accepted for pubblication on Cancer Control.</p>
The data and analysis code used to produce the nanomechanical plots in "Stress control of tensile-strained In_{1-x}Ga_{x}P nanomechanical string resonators"
<p>Data and code for figures in "Stress control of tensile-strained In_{1-x}Ga_{x}P nanomechanical string resonators"</p>
Dataset underpinning the paper "Terahertz plasmon resonances in two-dimensional electron systems: Modeling approaches" by S. Siaber et al 2019 Phys. Rev. Appl.
<p>Dataset underpinning the paper "Terahertz plasmon resonances in two-dimensional electron systems: Modeling approaches" by S. Siaber et al 2019 Phys. Rev. Appl.</p>
Surface nuclear magnetic resonance survey in Lexington, NE 29 March 2010
<p>This is a surface nuclear magnetic resonance dataset collected on 29 March 2010 in Lexington NE, USA.</p> <p><strong>Instrument</strong>: Vista Clara, GMR</p> <p><strong>Static magnetic field</strong>: 53,761 nT</p> <p><strong>B field Inclination</strong>: 68.0 (NOAA derived) </p> <p><strong>B field declination:</strong> 0 (the transmitter loop is aligned along magnetic north within compass accuracy)</p> <p><strong>Transmitter loop type</strong>: 100 m square loop</p> <p><strong>Pulse type</strong>: FID, 40 ms</p> <p><strong>Transmitter channel:</strong> Ch. 1</p> <p><strong>Reference Channels: </strong>Ch. 2 and Ch. 3</p> <p><strong>Conductivity mode</strong>l: TEM derived</p> <p> Top (m) Bottom (m) Thickness (m) Resistivity (Ohm m)</p> <p> Layer 1 0.00 15.49 15.49 16.91</p> <p> Layer 2 15.49 43.67 28.18 24.06</p> <p> Layer 3 43.67 inf inf 33.23</p> <p>The dataset had 18 stacks, but stack 1 is corrupted and not included.</p>
Fig. 2. A in Microstructural Impact of Ischemia and Bone Marrow-Derived Cell Therapy Revealed With Diffusion Tensor Magnetic Resonance Imaging Tractography of the Heart In Vivo
Fig. 2. A picture of four male - female pairs of Amblyomma variegatum attached on a cow examined during this survey. © Anne Laudisoit.
Fig. 1 in Microstructural Impact of Ischemia and Bone Marrow-Derived Cell Therapy Revealed With Diffusion Tensor Magnetic Resonance Imaging Tractography of the Heart In Vivo
Fig. 1. Map of Kisangani and Major transhumance routes from probable departure location to Kisangani city, DR Congo.
Gate Tunable Edge Magnetoplasmon Resonators
<p>Dataset accompanying the paper 'Gate tunable edge magnetoplasmon resonators'.</p>
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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.