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887 results for “relaxation”
Muon spin relaxation in Ce3Al
<p>We have investigated the dynamics of magnetic-field-driven antiferromagnetic-to-paramagnetic quantum phase transition in monocrystalline Ce3Al via transverse-field muon spin rotation experiments down to temperature of ~80 mK. The idea is to explore the magnetic transition at these temperatures.</p>
Human thymidylate synthase NMR relaxation data
<p>Table of intensities of NMR signals of human thymidylate synthase in multiple bound forms from several NMR relaxation experiments. Bound forms studied include apo, dUMP (substrate) bound, TMP (product) bound, as well as apo and dUMP bound N-terminal truncation. Experiments include methyl 13C MQ and SQ CPMG, CHD2 methyl 13C CEST, CHD2 methyl 2H R2, solvent PRE, backbone amide RDC, and 15N relaxation. Details of the data collection can be found in the associated publication.</p>
A fluidic relaxation oscillator for reprogrammable sequential actuation in soft robots
<p>This dataset contains data and code to replicate main and supplemental figures for the related article published in Matter:</p> <p>Title: A fluidic relaxation oscillator for reprogrammable sequential actuation in soft robots</p> <p>DOI: 10.1016/j.matt.2022.06.002</p> <p>In the article we introduce a simple and compact soft valve with intentional hysteresis, analogous to an electronic relaxation oscillator. By integrating the valve with a soft actuator, we transform a continuous inflow to cyclic activation. Importantly, we show that our circuits can activate up to five actuators in various sequences, and that we can physically reprogram the activation order by varying the (initial) conditions in the fluidic circuit. Moreover, we show the feasibility of our approach under more realistic conditions by building a four-legged robot.</p> <p>This dataset contains measurement data and simulation files.</p> <p>The data are recorded (in human-readable format) from experiments on our fluidic circuits (e.g., pressure, flow data), and are accompanied by MATLAB scripts for data processing as well as generating figures.</p> <p>The simulation files are MATLAB and LTspice files for simulating our fluidic circuits making use of the analogy with electronic circuits. For more involved parameter sweeps we generate, run, and post-process LTspice input and result files using MATLAB. More details and instruction for use are provided in the included readme.txt files.</p>
Supporting data for manuscript describing Slice and Dice method to measure NMR relaxation with nested experiments
<p>This is a supporting dataset for the manuscript "Slice and Dice: Nested Spin-lattice Relaxation Measurements" by W. Trent Franks, Jacqueline Tognetti and Józef R. Lewandowski.</p> <ul> <li><strong>NMR_data.zip : </strong>Raw NMR data in the Bruker format for the experiments presented in the manuscript. The file expands to a directory called "Raw NMR Data" that contains: <ul> <li>ReadMe_NMR_data.txt - describing the datasets included in the file.</li> <li>Record 1: <sup>13</sup>C<sup><span class="math-tex">\(^\alpha\)</span></sup> individual experiment. Pulse program name: hRCH_CT1</li> <li>Record 2: <sup>13</sup>C' individual experiment. Pulse program name: hCOcaH_SP_T1</li> <li>Record 3: <sup>15</sup>N individual experiment. Pulse program name: hRNH_NT1b</li> <li>Record 10: <sup>13</sup>C<span class="math-tex">\(^\alpha\)</span> + <sup>13</sup>C' + <sup>15</sup>N Slice & Dice experiment. Pulse program name: hR[COca,Ca,N]Ha_T10818 corresponding to the final sequence: hR[N,COca,Ca]HR_T1</li> </ul> </li> <li><strong>Pulse_program.zip</strong>: The pulse program and include file for the Slice and Dice experiment described in the manuscript. The pulse program in Bruker format (war.hR[COca,Ca,N]H_T1 - this is a text file that can be opened with any text editor) was tested on a Bruker Avance III HD console. Both the pulse program file, war.hR[COca,Ca,N]H_T1, and include file, HCN_defs.incl, need to be placed in the pulse program directory (/opt/topspinXX/exp/stan/nmr/lists/pp/user where XX is replaced with the version of Topspin). The file expands to a directory "Pulse_program_incl" that contains: <ul> <li>war.hR[COca,Ca,N]H_T1 - pulse program</li> <li>HCN_defs.incl - include file</li> <li>ReadMe_SliceDice_pp.txt - details on how to set up the experiment.</li> </ul> </li> <li><strong>HowToProcessSliceAndDice.pdf</strong> : Instructions on how to process Slice and Dice experiment in Topspin.</li> <li><strong>MultiR1list.zip: </strong>A program written in Python 3 required to calculate delay lists for the nested experiment to be included in the pulse program. The file expands to a directory MultiT1list directory that contains: <ul> <li>MultiT1list.py - the program</li> <li>ReadMe_MultiT1list.txt - instructions on how to use the program</li> </ul> </li> <li><strong>SNDProcguide.py.zip</strong>: A program written in Python 2 (SNDProcguideV2.py), which generates macro for processing and sorting 2D planes in Topspin. The script also provides some tips on setting parameters for different 2Ds and sorted lists of relaxation delays. Example output of the script is also included. The parameters in the script are set for the supplied example data.</li> <li><strong>HowToProcess.mp4</strong> - a video working through an example of processing Slice and Dice data.</li> </ul> <p> </p> <p> </p>
Dataset of "Hysteresis, Rectification and Relaxation Times of Nanofluidic Pores for Neuromorphic Circuit Applications"
<p>This dataset supports the article published<em> </em>in Advanced Physics Research:</p> <p>"Hysteresis, Rectification and Relaxation Times of Nanofluidic Pores for Neuromorphic Circuit Applications"</p> <p> </p> <p>Raw data for the article "Hysteresis, Rectification and Relaxation Times of Nanofluidic Pores for Neuromorphic Circuit Applications". For further details see the readme.txt file.</p>
Supporting data for "Hyperfine-phonon spin relaxation in a single-electron GaAs quantum dot"
<p>Supporting data for<br> "Hyperfine-phonon spin relaxation in a single-electron GaAs quantum dot"<br> Leon C. Camenzind, Liuqi Yu, Peter Stano, Jeramy D. Zimmerman, Arthur C. Gossard, Daniel Loss & Dominik M. Zumbühl</p> <p><em>Nature Communications <strong>Volume 9</strong></em>, Article number: 3454 (2018)</p>
Monolayer doping of silicon-germanium alloys: A balancing act between phosphorus incorporation and strain relaxation
<p>This paper presents the application of monolayer doping (MLD) to silicon-germanium (SiGe). This study was carried out for phosphorus dopants on wafers of epitaxially grown thin films of strained SiGe on silicon with varying concentrations of Ge (18%, 30%, and 60%). The challenge presented here is achieving dopant incorporation while minimizing strain relaxation. The impact of high temperature annealing on the formation of defects due to strain relaxation of these layers was qualitatively monitored by cross-sectional transmission electron microscopy and atomic force microscopy prior to choosing an anneal temperature for the MLD drive-in. Though the bulk SiGe wafers provided are stated to have 18%, 30%, and 60% Ge in the epitaxial SiGe layers, it does not necessarily mean that the surface stoichiometry is the same, and this may impact the reaction conditions. X-ray photoelectron spectroscopy (XPS) and angle-resolved XPS were carried out to compare the bulk and surface stoichiometry of SiGe to allow tailoring of the reaction conditions for chemical functionalization. Finally, dopant profiling was carried out by secondary ion mass spectrometry to determine the impurity concentrations achieved by MLD. It is evident from the results that phosphorus incorporation decreases for increasing mole fraction of Ge, when the rapid thermal annealing temperature is a fixed amount below the melting temperature of each alloy.</p>
Rapid Impact Crater Relaxation Caused by An Insulating Methane Clathrate Crust on Titan: Data and Marc Files
<p><span>Data files for several figures in the manuscript "Rapid Impact Crater Relaxation Caused by An Insulating Methane Clathrate Crust on Titan" Published in The Planetary Science Journal. This includes data for the following figures: 4, 6, 7, 8 and 10. Two example Hexagon Marc-Mentat mud files for the axisymmetric thermal simulation and mechanical simulation of a 10 km thick clathrate, 85 km diameter crater are also included.</span></p> <p><span>Each column is self-explanatory except for the two relative depth data files. "Relative_Depth_Deep_Fig8" includes the results for simulations that use the initially deeper crater depth, and "Relative_Depth_Shallow_Fig8" includes the results for simulations that use the initially shallower crater depth. The columns are labeled with a shorthand notation for pairs of columns that represent the relative crater depth at specified times in the simulation. An example of time is “t(yr)_v21_120_5” and the corresponding relative depth column is “v21_Rd_120_5.” Time is given in years and relative depth is unitless. These specific examples provide results for a simulation that has a viscosity cutoff of 10^21 Pa s and a 120 km diameter crater with a 5 km thick methane clathrate crust overlying water ice.</span></p>
Relax and repeat: The role of relaxation and practice on effects of mindfulness and mind wandering on time perception.
Open the record for dataset details and reuse information.
Relative Random Errors in the Convective Atmospheric Boundary Layer Estimated by the Relaxed Filtering Method from Large Eddy Simulations
<p>Data supporting the paper "How representative are uncrewed aircraft system measurements of the convective boundary layer?" by Brian R. Greene, Leia M. Otterstatter, and Scott T. Salesky, submitted to Geophysical Research Letters in 2024. Data are postprocessed from large-eddy simulations of the convective atmospheric boundary layer that are used to produce the figures within the paper. Details on the production of these files are included in the supplementary informatin of this paper.</p>
Data for: Analysis of Conformational Exchange Processes using Methyl-TROSY-Based Hahn Echo Measurements of Quadruple-Quantum Relaxation
<p>Raw experimental data used in associated publication. A full list of experiments is provided in the README.md file.</p>
Protected ultrathin cuprous oxide film for photocatalysis: Excitation and relaxation dynamics
<p>The main data analysis was done with Wavemetrics Igor Pro 7.08 using user-defined macros. Data files given in *.itx<br> format are human-readable text files that can be opened in Igor Pro. User-defined macros are available from the<br> authors upon reasonable request. Static spectra are measured with the proprietary "Croissant" software for the<br> channeltron analyzer and saved in human-readable *.plsp format, or SpecsLab Prodigy 4.60.1 for the 2D analyzer and<br> saved in the proprietary SPECS *.sle format or exported into *.itx format. Time-resolved spectra are measured with a<br> proprietary LabView program and exported in the binary HDF5 *.h5 file format.</p> <p><br> ******************************************** Fig. 1 LEED and He Ia ARPES ********************************************<br> LEED images taken with SBIG STF-8300 CCD Camera, the SBIG format is a 16-bit grayscale bitmap with metadata.<br> Fig. 1a: LEED image at 120 eV<br> LEED220210_120eV_Cu111_hBN_Cu2O.SBIG<br> Fig. 1b: LEED image at 48 eV<br> LEED220210_048eV_Cu111_hBN_Cu2O.SBIG</p> <p>other energies (not shown in the figure): see Fig. S2/S3</p> <p>Fig. 1c: He Ia spectrum second derivative as function of parallel momentum and binding energy<br> Spectra measured with VG ESCALAB 220 channeltron hemispherical analyzer by tilting the sample at two fixed azimuthal<br> angles and using a Gammadata VUV 5050 monochromated helium lamp. The azimuthal angles correspond to the M and K<br> directions, respectively, as determined by x-ray photoelectron diffraction of the Cu(111) surface. Measurement<br> parameters are given in the files.<br> Positive parallel momentum: M direction, VG2Z220628N015.plsp<br> Negative parallel momentum: K direction, VG2Z220628N016.plsp<br> Combined ARPES spectrum as a function of parallel momentum and binding energy: VG2Z220628N015_N016.itx<br> Second derivative along energy direction: VG2Z220628N015_N016d.itx; smoothed: VG2Z220628N015_N016d_smth.itx</p> <p><br> ************************************************ Fig. 2 He IIa ARPES ************************************************<br> All ARPES spectra measured with SPECS Phoibos 150 WAL hemispherical analyzer (2D detector) using SpecsLab Prodigy<br> software and non-monochromated helium lamp.</p> <p>Fig. 2a: Detail of He IIa spectrum measured on h-BN/Cu(111)<br> Full angle-resolved spectrum (intensity as function of angular coordinate and kinetic energy), summed over all energy<br> channels and scans, exported from SpecsLab Prodigy as Igor Text. All measurement parameters are given in the file.<br> Spectrum HeIIa h-BN Cu111 20201023.itx<br> Spectrum scale converted into parallel momentum and binding energy: Spectrum HeIIa h-BN Cu111 20201023 k2.itx</p> <p>Fig. 2b: Detail of He IIa spectrum measured on h-BN/Cu2O/Cu(111)<br> Full angle-resolved spectrum (intensity as function of angular coordinate and kinetic energy), summed over all energy<br> channels and scans, exported from SpecsLab Prodigy as Igor Text. All measurement parameters are given in the file.<br> Spectrum HeIIa h-BN Cu2O Cu111 20220211.itx<br> Spectrum scale converted into parallel momentum and binding energy: Spectrum HeIIa h-BN Cu2O Cu111 20220211 k2.itx</p> <p>Fig. 2c: Spectra integrated over given parallel momentum range<br> Intensity as a function of binding energy<br> Spectrum HeIIa h-BN Cu111 20201023 k2 042_092.txt<br> Spectrum HeIIa h-BN Cu2O Cu111 20220211 k2 041_091.txt</p> <p><br> ************************* Fig. 3 2PPE spectra of Cu(111), h-BN/Cu(111) and h-BN/Cu2O/Cu(111) *************************<br> Spectra measured with SPECS Phoibos 150 WAL hemispherical analyzer (2D detector) using SpecsLab Prodigy software and<br> exported as Igor Text. All measurement parameters are given in the files. 3eV wavelength was 412nm, p-polarized.<br> A -10V bias voltage was applied to the sample.<br> Cu(111) 2PPE: P=1mW, Cu111 2022-04-14_20h47m45s.itx<br> Cu(111) 3PPE: P=3mW, Cu111 2022-04-14_21h09m29s.itx<br> h-BN/Cu(111) 2PPE: P=1.0mW, 0.5mm entrance slit, Cu111 hBN Spectrum3eV_2B_ppol.itx<br> h-BN/Cu(111) 3PPE: P=0.4mW, 3.0mm entrance slit, Cu111 hBN Spectrum3eV_4B_ppol.itx<br> h-BN/Cu2O/Cu(111) 2PPE: P~0.1mW, Cu111 hBN Cu2O 2022-02-11_17h07m34s.itx<br> h-BN/Cu2O/Cu(111) 3PPE: P~0.1mW, Cu111 hBN Cu2O 2022-02-11_16h58m49s.itx</p> <p>************************************************* Fig. 4 Delay Scan *************************************************<br> Delay scans are recorded with proprietary LabView software and saved in binary HDF5 format as a 3D stack of<br> detector images (intensity as function of angular coordinate and kinetic energy) as a function of pump-probe delay.<br> Bias -5V, 3eV=413nm 0.3mW p-pol, 6eV=208nm 1nA p-pol, Ekin=11.9eV, Epass=20eV,<br> 1mm slit, exposure 10x500ms, 20 scans, 10fs steps<br> Raw data, 256 angular pixels x 348 energy pixels x 201 delays x 20 scans:<br> WAL_20220215_UZH_JB_dscan_040_0to9.h5<br> WAL_20220215_UZH_JB_dscan_040_10to19.h5<br> Sum of all scans (transposed):<br> WAL_20220215_UZH_JB_dscan_040_sum.h5<br> Cropped to active detector window and applied distortion correction and correct scaling:<br> dscan_20220215_040_data3Dcorrected.h5<br> Integrated over +-10° angular window: dscan040.itx<br> Background averaged over delay positions 0-19 subtracted and energy and delay scales corrected:<br> Fig. 4a: dscan040bgi0.itx<br> Delay scan with 50ps range and 0.2ps steps, not shown in figure but analyzed the same way: dscan041bgi.itx</p> <p>Fig. 4b: Intensity as a function of intermediate state energy<br> 50 fs, delay positions 40-50: dscan040t0mbg.txt<br> 1 ps, delay positions 140-150: dscan040t2mbg.txt<br> 10 ps, delay positions 55-65 in dscan041bgi: dscan041t3mbg.txt</p> <p>Fig. 4c: detector image obtained by averaging images at delay positions 40-50 and subtracting the background image,<br> then correcting the angular distortion by normalizing the intensity at the Fermi energy<br> dscan040image_diff0.itx</p> <p><br> ************************************************* Fig. 5 Fit Curves *************************************************<br> The Igor Pro batch fitting procedure was used with a custom fitting function to fit the delay scan dscan040bgi<br> binned in 0.1 eV intervals with index 0 at -0.3 eV.<br> The displayed curves have index 13 (1.0 eV), 6 (0.3 eV) and 4 (0.1 eV).</p> <p>Binned delay scan: dscan040bgi_pix.itx<br> Fit parameters: dscan040bgi_fitparams.txt<br> Fit result: dscan040bgi_pixRateFits.itx<br> Fast component: dscan040bgi_FastComponent.itx<br> Slow component: dscan040bgi_SlowComponent.itx</p> <p><br> ******************************************* Fig. 6 Fit Results Comparison *******************************************<br> Relaxation times are extracted from the batch fit results of different delay scans.<br> 3 nJ pump: dscan040bgi_fitparams.txt dscan_220215_040<br> 20 nJ pump: dscan010_BG4_fitparams.txt dscan220703_010<br> (data: dscan010_BG4.itx, binned: dscan010_BG4_pix.itx, fits: dscan010_BG4_pixFit.itx)<br> h-BN/Cu(111): dscan033_fitparams.txt<br> (binned data: dscan044_hBN_side_pix1.itx, fits: dscan033_hBN_side_pixFits.itx)<br> Lisowski et al.: LifetimesLisowski.txt<br> (data from M. Lisowski, P. A. Loukakos, U. Bovensiepen, and M. Wolf, Femtosecond Dynamics and Transport of Optically<br> Excited Electrons in Epitaxial Cu Films on Si(111)-7 x 7, Appl. Phys. A 79, 739 (2004))<br> Extrapolation: fit_LifetimesLisowski.txt, using power law tau=0.054797*E^(-1.1419)</p> <p><br> **************************************************** Fig. S1 XPS ****************************************************<br> Preparation 1 before oxidation: Preparation 1 after oxidation: Preparation 2 after oxidation:<br> B 1s: VG2Z220209N005.pesp B 1s: VG2Z220210N023.pesp B 1s: VG2Z220628N002.pesp<br> N 1s: VG2Z220209N006.pesp N 1s: VG2Z220210N024.pesp N 1s: VG2Z220628N003.pesp<br> C 1s: VG2Z220209N007.pesp C 1s: VG2Z220210N025.pesp C 1s: VG2Z220628N004.pesp<br> O 1s: VG2Z220209N008.pesp O 1s: VG2Z220210N026.pesp O 1s: VG2Z220628N005.pesp<br> Cu 2p:VG2Z220209N009.pesp Cu 2p:VG2Z220210N027.pesp Cu 2p:VG2Z220628N006.pesp</p> <p><br> **************************************************** Fig. S2 LEED ****************************************************<br> 48 eV: LEED220209_048eV_Cu111_hBN.SBIG<br> 70 eV: LEED220209_070eV_Cu111_hBN.SBIG<br> 100 eV: LEED220209_100eV_Cu111_hBN.SBIG<br> not shown in figure:<br> 40 eV: LEED220209_040eV_Cu111_hBN.SBIG<br> 120 eV: LEED220209_120eV_Cu111_hBN.SBIG</p> <p><br> **************************************************** Fig. S3 LEED ****************************************************<br> 40 eV: LEED220210_040eV_Cu111_hBN_Cu2O.SBIG<br> 48 eV: LEED220210_048eV_Cu111_hBN_Cu2O.SBIG<br> 70 eV: LEED220210_070eV_Cu111_hBN_Cu2O.SBIG<br> 100 eV: LEED220210_100eV_Cu111_hBN_Cu2O.SBIG<br> 120 eV: LEED220210_120eV_Cu111_hBN_Cu2O.SBIG<br> 150 eV: LEED220210_150eV_Cu111_hBN_Cu2O.SBIG</p> <p><br> **************************************************** Fig. S4 LEED ****************************************************<br> 40 eV: LEED220628_040eV_Cu111_hBN_Cu2O.SBIG<br> 48 eV: LEED220628_048eV_Cu111_hBN_Cu2O.SBIG<br> 70 eV: LEED220628_070eV_Cu111_hBN_Cu2O.SBIG<br> 100 eV: LEED220628_100eV_Cu111_hBN_Cu2O.SBIG<br> 110 eV: LEED220628_110eV_Cu111_hBN_Cu2O.SBIG<br> 140 eV: LEED220628_140eV_Cu111_hBN_Cu2O.SBIG<br> 180 eV: LEED220628_180eV_Cu111_hBN_Cu2O.SBIG<br> not shown in figure:<br> 120 eV: LEED220628_120eV_Cu111_hBN_Cu2O.SBIG<br> 150 eV: LEED220628_150eV_Cu111_hBN_Cu2O.SBIG</p> <p><br> ********************************************* Fig. S5 Work function maps *********************************************<br> Ekin=10.4eV, Epass=20eV, 6eV=208.5nm 0.2nA p-pol, 1mm slit, -5V bias, exposure 1x500ms, 0.1mm steps, 81x81 pixels<br> Preparation 1:<br> Data cube after lens correction and correct scaling: dscan_220221_003_data3Dcorrected.h5<br> Integrated over all angles and brought into raster format: dscan_220221_003_raster.h5<br> Work function map: dscan_220221_003_rasterWF.itx<br> Inset: Photograph of the sample after preparation 1, "Photograph hBN Cu2O Cu.png"<br> Preparation 2:<br> Data cube after lens correction and correct scaling: dscan_220704_011_data3Dcorrected.h5<br> Integrated over all angles: dscan_220704_011_raster.h5<br> Work function map: dscan_220704_011_rasterWF.itx</p> <p><br> ************************************************ Fig. S6 Delay Scans ************************************************<br> See description of Fig. 4 for processing details. Pump power was measured with a thermal powermeter and probe power<br> was measured with a Thorlabs SM05PD7A GaP-photodiode with 14.4 mA/W sensitivity at 208nm.<br> The thermal powermeter has an accuracy of +-0.1mW.<br> 1.0mW pump power at 100kHz repetition rate equals 10nJ pulse energy.<br> 1.0nA photodiode current equals approximately 70nW probe power or 0.7 pJ probe energy.</p> <p>Common settings: Bias voltage -5V, exposure time 20x500ms, 20 scans, 20fs steps, entrance slit size 1mm,<br> Pass energy 20eV, Kinetic energy 11.9 eV, pump wavelength 413nm, pump and probe beam are p-polarized.<br> Differing settings are written for each dataset.</p> <p>Fig. S6a: dscan_220215_040/dscan040bgi0.itx, processed raw data: dscan_220215_040_data3Dcorrected.h5<br> 0.3mW pump, 208nm 1.0nA probe, 10fs steps, exposure 10x500ms<br> Fig. S6b: dscan_220217_045/dscan045bgi.itx, processed raw data: dscan_220217_045_data3Dcorrected.h5<br> 0.3mW pump, 208nm 1.0nA probe, 10fs steps, Ekin=13.3eV, Epass=30eV, 7mm slit, 50 scans<br> Fig. S6c: dscan_220216_041/dscan041bgi.itx, processed raw data: dscan_220216_041_data3Dcorrected.h5<br> 0.3mW pump, 208nm 1.0nA probe, 200fs steps, exposure 10x500ms, 10 scans</p> <p><br> ************************************************ Fig. S7 Delay Scans ************************************************<br> Common settings: same as in Fig. S6</p> <p>Fig. S7a: dscan_220701_020/dscan020bgi0.itx, processed raw data: dscan_220701_020_data3Dcorrected.h5<br> 0.5mW pump, 209nm 0.9nA probe, 3mm slit<br> Fig. S7b: dscan_220712_029/dscan029_BG.itx, processed raw data: dscan_220712_029_data3Dcorrected.h5<br> 1.5mW pump, 209nm 1.0nA probe<br> Fig. S7c: dscan_220703_010/dscan010_BG4.itx, processed raw data: dscan_220703_010_data3Dcorrected.h5<br> 2.0mW pump, 209nm 0.9nA probe<br> Fig. S7d: dscan_220417_033/dscan033_hBN_side0.itx, processed raw data: dscan_220417_033_data3Dcorrected.h5<br> 1.0mW pump, 208nm 0.1nA probe, Ekin=11.8eV, 40 scans</p> <p><br> *********************************************** Fig. S8 Beam profiles ***********************************************<br> 8-bit CCD images were acquired with a Basler puA1280-54um CCD camera and Basler pylonViewer 5.0 acquisition software.<br> Sensor resolution: 1280x960, pixel size: 3.75x3.75 micrometers<br> 3 eV image: 10 microseconds exposure time, Spot3eV 10us 20mm.bmp<br> 6 eV image: 100 milliseconds exposure time, Spot6eV 100ms 20mm.bmp</p>
3-D T1 relaxation time measurements in an equine model of subtle post-traumatic osteoarthritis using MB-SWIFT
<p>This dataset contains Key analysis and plotting scripts, data, and sample images.</p> <p>3-D T1 relaxation time measurements in equine model of post-traumatic osteoarthritis using MB-SWIFT</p> <p>Journal of Orthopaedic Research | DOI: 10.1002/jor.25629</p> <p>Swetha Pala (1), Nina Hänninen (1,2), Ali Mohammadi(1), Mohammadhossein Ebrahimi (1,2), Nikae C.R. te Moller(3), Harold Brommer(3), P. René van Weeren (3), Janne T.A. Mäkelä (1), Rami K. Korhonen (1), Isaac O. Afara(1), Juha Töyräs (1,4,5), Santtu Mikkonen (1), Mikko J. Nissi (1*), Olli Nykänen (1,2)</p> <p> 1Department of Applied Physics, University of Eastern Finland <br> 2Research Unit of Medical Imaging, Physics and Technology, University of Oulu<br> 3Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University<br> 4Science Service Center, Kuopio University Hospital, Kuopio, Finland<br> 5School of Information Technology and Electrical Engineering, The University of Queensland </p> <p><br> *Corresponding author<br> Mikko J. Nissi<br> Department of Technical Physics<br> University of Eastern Finland, Kuopio Finland<br> POB 1627<br> 70211 Kuopio<br> mikko.nissi@uef.fi<br> +358-50-5955517<br> Running title: ‘3D T1 of mild PTOA using MB-SWIFT’</p> <p><br> Keywords: Quantitative MRI, T1 relaxation, equine model, post-traumatic osteoarthritis, proteoglycan content.</p> <p>Included folders and files are:<br> - Article_figures: all figures published in the manuscript (.svg format)<br> - Data: Raw MRI data files per flip angle (phase & magnitude images) from 28 samples and corresponding fitted T1 maps within respective folders. SPSS structured data files used for statistical analysis.<br> - Matlab scripts: Matlab functions used for data processing and T1 computation, aedes plugins, and data analysis with subfolders and files:<br> - aedes_plugins: plugins for aedes (http://aedes.uef.fi) and scripts for calculation of surface visualisations from relaxation time maps and auto-segmented mesh. <br> - Data processing and T1 computation: Scripts for non-linear 3D T1 fitting. <br> - Analysis: Key scripts used for analysis and plotting.</p> <p>- README.txt: this file describing the contents of the dataset.</p> <p><br> See more info in separate readme files included in sub-folders.</p> <p><br> (Swetha Pala, 31 May 2023)</p>
Relaxation effects in twisted bilayer molybdenum disulfide: structure, stability, and electronic properties
<p><strong>Abstract</strong></p> <p>Manipulating the interlayer twist angle is a powerful tool to tailor the properties of layered two-dimensional crystals. The twist angle has a determinant impact on these systems' atomistic structure and electronic properties. This includes the corrugation of individual layers, formation of stacking domains and other structural elements, and electronic structure changes due to the atomic reconstruction and superlattice effects. However, how these properties change with the twist angle, <em>θ</em>, is not yet well understood. Here, we monitor the change of twisted bilayer (tBL) MoS<sub>2</sub> characteristics as a function of <em>θ</em>. We identify distinct structural regimes, each with particular structural and electronic properties. We employ a hierarchical approach ranging from a reactive force field through the density-functional-based tight-binding approach and density-functional theory. To obtain a comprehensive overview, we analyzed a large number of tBLs with twist angles in the range of <span class="math-tex">\(\theta=0.2^\circ\dots59.6^\circ\)</span>. Some systems include up to half a million atoms, making structure optimization and electronic property calculation challenging. For <span class="math-tex">\(13^\circ \lessapprox \theta \lessapprox 47^\circ\)</span>, the structure is well-described by a moiré regime composed of two rigidly twisted monolayers. At small twist angles (<span class="math-tex">\(\theta\leq3^\circ\)</span> and <span class="math-tex">\(57^\circ\leq\theta\)</span>), a domain-soliton regime evolves, where the structure contains large triangular stacking domains, separated by a network of strain solitons and short-ranged high-energy nodes. The corrugation of the layers and the emerging superlattice of solitons and stacking domains affects the electronic structure. Emerging predominant characteristic features are Dirac cones at <em>K</em> and kagome bands. These features flatten for <em>θ</em> approaching 0<sup>∘</sup> and 60<sup>∘</sup>. Our results show at which range of <em>θ</em> the characteristic features of the reconstruction, namely extended stacking domains, the soliton network, and superlattice, emerge and give rise to exciting electronics. We expect our findings also to be relevant for other tBL systems.</p> <p>DOI: 10.1088/2053-1583/aceb75</p> <p><strong>Overview</strong></p> <p>This repository contains calculation files, optimized structures, and visualization movies for studies of twisted-bilayer MoS<sub>2</sub>, focussing on structural properties and electronic structure. Each directory has its own README.md file with additional information, separated by what data is included and the method used.</p> <p><strong>Geometry optimization</strong></p> <ul> <li>Directory `calc_structure_optimization_ReaxFF`: calculation files of the structure optimization of all studied structures, done with ReaxFF.</li> <li>Directory `calc_structure_optimization_DFT`: validation calculation files of the ReaxFF-optimized structures using DFT optimization.</li> </ul> <p><strong>Electronic structure calculations</strong></p> <ul> <li>Directory `calc_electronic_properties_DFT`: calculation files of electronic structure calculations on the DFT level.</li> <li>Directory `calc_electronic_properties_DFTB`: calculation files of electronic structure calculations on the DFTB level</li> </ul> <p><strong>Results</strong></p> <ul> <li>Directory `structures_rigidly_twisted`: structure files in cif format of the rigidly twisted (flat) systems, labeled by their twist angle.</li> <li>Directory `structures_fully_optimized`: structure files in cif format of the fully ReaxFF-optimized systems, labeled by their twist angle.</li> <li>Directory `movies`: visualization of the change of the interlayer distance landscape and the strain fields with the twist angle.</li> <li>Additionally, the script `plot_interlayer_distance.py` is included, which was used to create the individual frames of the movie showing the interlayer distance.</li> </ul>
"I was the class teacher at that time. It was a class trip, usually organized near the end of the schoolterm in summer. The pupils went there by bike to have a barbecue at the sandy banks of the river Rhine near Dusseldorf. The landscape around is mostly dominated by agriculture and glasshouse cultures. You find a mixture of former villages nowadays completely suburbanized. The population finds jobs in the nearby urban centers like Dusseldorf, Neuss and other big cities. The reason why Irecorded the scene is simply because Iam interested in collecting sounds in general by doing recordings in different surroundings like nature, cities and everything between. My memories about the event are that it was a relaxing and funny atmosphere, which is not always the case while teaching in a classroom" [Reinhard/reinsamba]15 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"I was the class teacher at that time. It was a class trip, usually organized near the end of the schoolterm in summer. The pupils went there by bike to have a barbecue at the sandy banks of the river Rhine near Dusseldorf. The landscape around is mostly dominated by agriculture and glasshouse cultures. You find a mixture of former villages nowadays completely suburbanized. The population finds jobs in the nearby urban centers like Dusseldorf, Neuss and other big cities. The reason why Irecorded the scene is simply because Iam interested in collecting sounds in general by doing recordings in different surroundings like nature, cities and everything between. My memories about the event are that it was a relaxing and funny atmosphere, which is not always the case while teaching in a classroom" [Reinhard/reinsamba]15
"The place where Idid record the sound "saunan lämmitys" is our family's summerhouse. My father bought it year 1955. He was born nearby in Virojoki village in 1911 and passed away in 2003. As you know Sauna a is very relaxing and important thing to Finns. We like the warm and silence of sauna atmosphere and heating the sauna is almost religious to us. For me it is remembering moments Ispent with my dead father and other relatives. Iam 56 years old internist and living 600 km away from that place but still I visit there for about 2 months yearly." [Timo/timofei]14 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"The place where Idid record the sound "saunan lämmitys" is our family's summerhouse. My father bought it year 1955. He was born nearby in Virojoki village in 1911 and passed away in 2003. As you know Sauna a is very relaxing and important thing to Finns. We like the warm and silence of sauna atmosphere and heating the sauna is almost religious to us. For me it is remembering moments Ispent with my dead father and other relatives. Iam 56 years old internist and living 600 km away from that place but still I visit there for about 2 months yearly." [Timo/timofei]14
Muscle Relaxation for Pediatric Adenotonsillectomy
ClinicalTrials.gov study NCT06225466. IPD Sharing: YES. Countries: 1. Publications: 24.
The Effect of Deep Versus Moderate Muscle Relaxants in Men During and After Robotic Surgery for Prostate Cancer
ClinicalTrials.gov study NCT03808077. IPD Sharing: YES. Countries: 1. Publications: 1.
Relaxed feeding constraints facilitate the evolution of mouthbrooding in Neotropical cichlids
Open the record for dataset details and reuse information.
Human thymidylate synthase NMR relaxation data
Open the record for dataset details and reuse information.
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