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235 results for “Lattices”
Sawtooth lattice multiferroic BeCr2O4: Noncollinear magnetic structure and multiple magnetic transitions
<p>Data sets for original figures in the article 'Sawtooth lattice multiferroic BeCr<sub>2</sub>O<sub>4</sub>: Noncollinear magnetic structure and multiple magnetic transitions' published in <a href="https://doi.org/10.1103/PhysRevMaterials.7.024422">Physical Review Materials <strong>7</strong>, 024422 (2023)</a>. The file name of each xls file corresponds to the figure number in the published article. The files can be opened using the Excel program. If there are sub-figures, or multiple frames in each figure, the data of each sub-figure is stored in separate sheets within one xls file. The files with the file extension 'vesta' can be opened using the freely available program <a href="https://jp-minerals.org/vesta/en/">VESTA</a>.</p>
Data supplement for "Molecular motors enhance microtubule lattice plasticity" Lecompte, William; John, Karin
<p>This dataset contains the data and source files for figures 2 (a-e), 3(a-d), 4(b,c,e) and Supplementary figures 5, 7(a-e), 8 and 9(a-c) in the following publication: </p> <p> </p> <p>W. Lecompte and K. John</p> <p> </p> <p>"Molecular motors enhance microtubule lattice plasticity"</p> <p> </p> <p>published in 2023 in PRX Life (ArXiv https://arxiv.org/abs/2209.09161)</p> <p> </p> <p>Please follow the instructions given in 'Readme.txt'.</p> <p> </p>
Interdimensional radial discrete diffraction in Mathieu photonic lattices - Control and manipulation of light in complex photonic systems (CompsLight)
<p>Experimental and numerical data from the journal paper published in Optics Express Vol. 31, Issue 18, pp. 28946-28953 (2023) (https://doi.org/10.1364/OE.497795). Experimental data contains original results in .jpg format, presenting intensity distributions of probe beam after propagation in a 2cm long Mathieu photonic lattices optically induced in cerium doped strontium barium niobate (Ce:SBN61) crystal. Numerical data are intensity distributions (I) that correspond to experimental data as Matlab files (.m format) as well as contain information about numerical space in micrometers (x, y). Data for Figure 5 contains probe beam intensity distributions (I) and lattice intensity distributions (L). </p> <p>We demonstrate transitional dimensionality of discrete diffraction in radial-elliptical photonic lattices. Varying the order, characteristic structure size, and ellipticity of the Mathieu beams used for the photonic lattices generation, we control the shape of discrete diffraction distribution over the combination of the radial direction with the circular, elliptic, or hyperbolic. We also investigate the transition from one-dimensional to two-dimensional discrete diffraction by varying the input probe beam position. The most pronounced discrete diffraction is observed along the crystal anisotropy direction.</p>
A Non-Isothermal Phase-Field Crystal Model with Lattice Expansion: Analysis and Benchmarks
<h1>Non-isothermal pase-field crystal simulations with lattice expansion</h1> <p>Openly available Matlab simulation files used to produce the phase-field crystal and temperature results.</p> <p>Files are named by the corresponding figures. Simulations can be started by runnning the Figure*.m files.</p> <h2><a href="#figure1_2_3_dendrite"></a>Figure1_2_3_dendrite</h2> <p>Dendritic solidification with heat flux and lattice expansion Parameter studies for figures 2 and 3 can be obtained by setting the respective parameter values in /simulation/Pre/Parameter/Pre_modelParameters</p> <h2><a href="#figure4_opensystems"></a>Figure4_openSystems</h2> <p>Results for solidification in open systems controlled by applied heat flux</p> <h2><a href="#disclaimer"></a>Disclaimer</h2> <p>The software is released here under the MIT license. We kindly ask to refer to/cite for any usage and extension. The authors are thankful for any advice considering typos, mistakes, and/or discussions around the code/implementation or the topic of the related publication in general. Please do not hesitate to contact the main author, Maik Punke, via: <a href="mailto:maik.punke@tu-dresden.de">maik.punke@tu-dresden.de</a></p>
MRI-Guided Lattice Extreme Ablative Dose Radiotherapy For Prostate Cancer
ClinicalTrials.gov study NCT01411319. IPD Sharing: NO. Countries: 1. Publications: 1.
Lattice-tip Versus Irrigated-tip Catheter for Linear Ablation of the Cavotricuspid Isthmus. A Multicenter, Randomized Study.
ClinicalTrials.gov study NCT07078760. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Palliative Lattice Stereotactic Body Radiotherapy (SBRT) for Patients With Sarcoma, Thoracic, Abdominal, and Pelvic Cancers
ClinicalTrials.gov study NCT04553471. IPD Sharing: NO. Countries: 1. Publications: 1.
Palliative Lattice Stereotactic Body Radiotherapy (SBRT)
ClinicalTrials.gov study NCT04133415. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Pharmacologic hyperstabilisation of the HIV-1 capsid lattice induces capsid failure
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Data from: Flightin maintains myofilament lattice organization required for optimal flight power and courtship song quality in Drosophila
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Dataset for Lattice Boltzmann simulation of water flow through rough nanopores
<p>All the datasets used to produce the figures in our paper "<strong>Lattice Boltzmann simulation of water flow through rough nanopores</strong>".</p>
Phonon calculations for "Uncovering design principles for amorphous-like heat conduction using two-channel lattice dynamics"
<p>These are the phonon calculations for</p> <p>R. Hanus, <strong>J. George</strong>, M. Wood, <strong>A. Bonkowski</strong>, Y. Cheng, D. L. Abernathy, M. E. Manley, G. Hautier, G. J. Snyder, R. P. Hermann, “Uncovering design principles for amorphous-like heat conduction using two-channel lattice dynamics”, <em>Materials Today Physics</em>, <strong>2021</strong>, In Press, <a href="https://doi.org/10.1016/j.mtphys.2021.100344">https://doi.org/10.1016/j.mtphys.2021.100344</a></p>
In vivo x-ray diffraction and simultaneous EMG reveal the timecourse of myofilament lattice dilation and filament stretch
<p>Muscle function within an organism depends on the feedback between molecular and meter-scale processes. Although the motions of muscle's contractile machinery are well described in isolated preparations, only a handful of experiments have documented the kinematics of the lattice occurring when multi-scale interactions are fully intact. We used time-resolved X-ray diffraction to record the kinematics of the myofilament lattice within a normal operating context: the tethered flight of Manduca sexta. As the primary flight muscles of M. sexta are synchronous, we used these results to reveal the timing of in vivo cross-bridge recruitment, which occurred 24 ms (s.d. 26) following activation. In addition, the thick filaments stretched an average of 0.75% (s.d. 0.32) and thin filaments stretched 1.11% (s.d. 0.65). In contrast to other in vivo preparations, lattice spacing changed an average of 2.72% (s.d. 1.47). Lattice dilation of this magnitude significantly affects shortening velocity and force generation, and filament stretching tunes force generation. While the kinematics were consistent within individual trials, there was extensive variation between trials. Using a mechanism-free machine learning model we searched for patterns within and across trials. Although lattice kinematics were predictable within trials, the model could not create predictions across trials. This indicates that the variability we see across trials may be explained by latent variables occurring in this naturally functioning system. The diverse kinematic combinations we documented mirror muscle's adaptability and may facilitate its robust function in unpredictable conditions.<br> <br> </p>
Byzantine Lattice Agreement in Asynchronous Message Systems (video)
Full video presentation of the paper: Byzantine Lattice Agreement in Asynchronous Message Systems.<br><br>Appears in Session 2 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
Dataset for "The Operator Product Expansion for Radial Lattice Quantization of 3D φ4 Theory"
<h2><strong>Description of the data</strong></h2><p>This dataset is supplement to the paper "The Operator Product Expansion for Radial Lattice Quantization of 3D φ4 Theory". It contains </p><ul><li>the raw data for the partial wave expansion coefficients of the scalar four-point amplitude in the interacting theory for different lattice refinements. The corresponding files are named Rawdata_L=_.json.</li><li>the fit results going into the model averaged lattice results for the OPE coefficients and scaling dimensions of the interacting theory. The corresponding files are named ModelAveraging_L=_.csv.</li><li>the synthetic lattice data for the free theory at different lattice refinements L and cylinder lengths L_t. The corresponding files are named free_cj_L_Lt_.dat.</li></ul><h3><strong>Rawdata_L=_.json</strong></h3><p>The Rawdata_L=_.json files contain data for the partial wave expansion coefficients c_j of the antipodal conformal four-point amplitude that were computed as described in Section IV of the paper. They are given for even j up to j=20 for different values of the lattice refinement L. </p><p>The first two entries in each file are the value of the lattice refinement L as well as the length of the cylinder L_t. </p><p>Thereafter, the partial wave coefficients "c_j" are given for different j as a function of lattice cylinder time t. For each j, we store a list of c_j(t), with the first entry corresponding to t=0, the second to t=1 etc. up until t=L_t/2. Note that the range of t-values is only half of the cylinder length. This is because we used periodic boundary conditions in our simulations and combined the entries for the corresponding times t and L_t-t. </p><p>"c_j_err" then gives the statistical errors of the partial wave expansion coefficients c_j for the different values of j, again as a function of t, starting with t=0 and ending at t=L_t/2+1.</p><p>Lastly, c_conv contains the covariance matrix of the data. Here, we give the covariance matrix of the c_j data for all j, which we have concatenated for this purpose, starting with c_0 at t=0, running to c_0 at t=L_t/2+1 and then continuing with c_2 at t=0 etc until reaching c_20 at t=L_t/2+1. Thus, the entry with index (i, j) will give the covariance of c_{i integer division by L_t/2+1} at time t = i mod L_t/2+1 with c_{j integer division by L_t/2+1} at time t = j mod L_t/2+1. (Especially, the square roots of the diagonal entries give a concatenated list of c_j_err for all j.)</p><h3><strong>ModelAveraging_L_.csv</strong></h3><p>The ModelAveraging_L=_.csv files contain tables of the fit results that go into the final model averaged fit results shown in the paper, i.e. the fits that pass all employed cuts making sure the fits are physical, the parameters are constrained and the fits have an adequate model probability. For a detailed description of the fitting procedure and the employed cuts, see Section IV of the paper. </p><p>Each line of the CSV file should contain 21 entries, separated by commas. Each line corresponds to one fit, and the fits are given in descending order of model probability. For each fit, we give</p><ul><li>"t_0_min": the firstf timeslice we include in this fit for c_0</li><li>"t_2_min": the first timeslice we include in this fit for c_2</li><li>"chi2_dof": the reduced chi^2 value of this fit</li><li>"AIC": the value of the Akaike Information Criterion for this fit</li><li>"prob": the model probability of this fit</li><li>"fe": the fit value for the OPE coefficient f^2_σσε</li><li>"fe_err": the fitting error for the OPE coefficient f^2_σσε</li><li>"De": the fit value for the scaling dimension ∆_ε</li><li>"De_err": the fitting error for the scaling dimension ∆_ε</li><li>"fT": the fit value for the OPE coefficient f^2_σσT</li><li>"fT_err": the fitting error for the OPE coefficient f^2_σσT</li><li>"DT": the fit value for the scaling dimension ∆_T</li><li>"DT_err": the fitting error for the scaling dimension ∆_T</li><li>"fep": the fit value for the OPE coefficient f^2_σσε'</li><li>"fep_err": the fitting error for the OPE coefficient f^2_σσε'</li><li>"Dep": the fit value for the scaling dimension ∆_ε'</li><li>"Dep_err": the fitting error for the scaling dimension ∆_ε'</li><li>"fTp": the fit value for the OPE coefficient f^2_σσT'</li><li>"fTp_err": the fitting error for the OPE coefficient f^2_σσT'</li><li>"DTp": the fit value for the scaling dimension ∆_T'</li><li>"DTp_err": the fitting error for the scaling dimension ∆_T'</li></ul><h3><strong>free_cj_L_Lt_.dat</strong></h3><p>Finally, in the free_cj_L_Lt_.dat files, we give the synthetic lattice data for the free theory calculated on our simplicial lattices by inversion of the quadratic action as described in Section VI of the paper. This data does not have errors, so we simply give the data for the free partial wave expansion coefficients c_j(t) as a function of the lattice time t. For each combination of L and L_t we supply a separate file, with the values of L and L_t written in the filename after the corresponding letter. Each file has 3 columns, the first one indicating the value of j, the second one the time t and the last one the value for c_j(t). The columns are separated by " ". Note that for the free theory, we only calculated c_j(t) for j up to 12.</p>
Nonlinear dielectric geometric-phase metasurface with simultaneous structure and lattice symmetry design
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Lattice light sheet data
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Chirped Bloch-harmonic oscillations in a parametrically forced optical lattice
<p>Dataset and codes of the publication "Chirped Bloch-harmonic oscillations in a parametrically forced optical lattice" by Usman Ali, Martin Holthaus, and Torsten Meier,<br>published in PHYSICAL REVIEW RESEARCH 5, 043152 (2023)<br>( <a href="https://doi.org/10.1103/PhysRevResearch.5.043152">https://doi.org/10.1103/PhysRevResearch.5.043152</a> )</p>
Observation of low-energy sub-gap states in a supramolecular electron spin lattice on superconducting Pb(111)
<p>Data set of the manuscript "Gate-tunable topological superconductivity in a supramolecular electron spin lattice"</p>
Lattice Polaron in a Bose-Einstein Condensate of Hard-Core Bosons
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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)
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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.