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172 results for “chirality”

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zenodo36/100

Data supporting the publication "Non-Hermitian chiral phononics through optomechanically-induced squeezing"

<p>Data supporting the publication &quot;Non-Hermitian chiral phononics through optomechanically-induced squeezing&quot;. Version 2, including Extended Data figures.</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Chiral monoterpenes reveal forest emission mechanisms and drought responses

<p>This data was obtained during the Biosphere 2 - Water and Life Dynamics measurement campaign between September 2019 and December 2019 inside the Biosphere 2 tropical rainforest, Arizona, USA (DOI: 10.1126/science.abj6789). The Biosphere 2 tropical rainforest was subjected to a 4 month drought and rewetting experiment. This data includes mixing ratios of Isoprene, (-)-alpha-pinene, (+)-alpha-pinene, (-)-beta-pinene, (-)-limonene, (+)-limonene, (-)-camphene, (+)-camphene and gamma-terpinene calculated from data measured with a gas chromatograph - mass spectrometer. This data was sampled to see how the atmospheric concentration of compounds changed due to drought and rewetting.<br> The data also includes the 13C enrichment measurements of chiral monoterpenes and isoprene taken with a gas chromatograph - isotope ratio mass spectrometer and proton reaction mass spectrometer, respectively. The 13C enrichment experiments were conducted on two individual days during the campaign, once during pre-drought and once during the severe drought. This experiment was conducted to see which compounds became enriched in 13C when the atmosphere was exposed to a large amount of 13CO2.<br> Also included are sorbent tube measurements taken from branch cuvettes attached to Piper sp. and Clitoria fairchildiana plants, and also taken from soil chambers. The purpose of these measurements was to see how the emissions or uptakes of compounds from the plants and soil contributed to the total atmospheric concentration. The sorbent tubes were subsequently thermally desorbed into a gas chromatograph time of flight mass spectrometer.<br> Also included is the temperature, photosynthetically active radiation, relative humidity, vapour pressure deficit, soil moisture, and photosynthesis rate data</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Spin wave stiffness and damping in a frustrated chiral helimagnet Co8Zn8Mn4 as measured by small-angle neutron scattering

<p>The repository&nbsp;contains the data presented in the figures in the manuscript entitled&nbsp;<br> &quot;Spin wave stiffness and damping in a frustrated chiral helimagnet Co8Zn8Mn4 as measured by small-angle neutron scattering&quot;.</p> <p>Requests for further information can be directed to the corresponding authors Victor Ukleev (victor.ukleev &#39;at&#39; psi.ch).</p>

opencc-by-4.0Dec 2021View details →
zenodo36/100

Chiral flow in a binary mixture of two-dimensional active disks - Supplementary Data

<p>Supplementary data for the paper: &quot;Chiral flow in a binary mixture of two-dimensional active disks&quot;</p> <p>&nbsp;</p> <ol> <li>*_raw_trajectories.pkl.xz files contain tracking data for each experiment as a pickled Pandas DataFrame object (xz compression) in pixel units (particle diameter=77px)</li> <li>*_w.pkl.xz files contain self-rotation velocity for each experiment as a pickled Pandas DataFrame object (xz compression) in rad/s</li> <li>experiments_properties.dat is a summary table containing the average fields (including vorticity and kinetic energy) for all experiments. Also subdivided by species.</li> </ol>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Ultrafast imaging of molecular chirality with photoelectron vortices

<p>This is the plotting data and plotting scripts for the publication:&nbsp;<strong>&ldquo;Ultrafast imaging of molecular chirality with photoelectron vortices&rdquo;.&nbsp;</strong>Preprint available at: https://arxiv.org/abs/2202.07289. A readme.txt file is included with the data.</p> <p><strong>Authors:</strong><br> Xavier Barcons Planas, Andr&eacute;s Ord&oacute;&ntilde;ez, Maciej Lewenstein, Andrew Stephen Maxwell</p> <p><strong>Abstract:</strong></p> <p>Ultrafast imaging of molecular chirality is a key step towards the dream of imaging and interpreting electronic dynamics in complex and biologically relevant molecules. Here, we propose a new ultrafast chiral phenomenon exploiting recent advances in electron optics allowing access to the orbital angular momentum of free electrons. We show that strong-field&nbsp;ionization of a chiral target with a few-cycle linearly polarized 800 nm laser pulse yields photoelectron vortices,&nbsp;whose chirality reveals that&nbsp;<br> of the target, and we discuss the mechanism underlying this phenomenon. Our work opens new perspectives in recollision-based chiral imaging.</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

Molecular dynamics simulations data of Caspase-3 enzyme with pentapeptide ligand DEVDG and its chiral mutant DEVdG having D-Asp at fourth position

<p>Amino acids in proteins are maintained in one specific L chiral form in the body. D-amino acids are not normally incorporated into proteins and their accumulation has been associated with several conditions including schizophrenia, amyotrophic lateral sclerosis, and other age-related disorders. However, the mechanisms by which the accumulation of D-amino-acids in proteins may lead to pathophysiological consequences remain poorly understood. In this work, we studied a model protease system, caspase-3 that specifically hydrolyses the 4&rsquo;&ndash;5&rsquo; peptide bond of the pentapeptide substrate DEVDG. Through extensive molecular dynamics simulations, free energy calculations and distance maps, we reveal that caspase-3 naturally rejects the pentapeptide containing D-Asp substrate, DEVdG and prevents catalytic activity by caspase. The importance of this chiral discriminating capacity is evident from chiral-selective in vivo experimental assays to detect caspase-bound D-Asp in Drosophila where altering the chiral balance created impaired caspase activity and impaired apoptosis, increased tumour formation, and premature death. The modelling data reveals the molecular level charge balancing that enforces the chiral recognition necessary to maintain homeostasis across the cell, tissue, and organ level.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Intrinsic negative magnetoresistance from the chiral anomaly of multifold fermions

<p>Data used for the plots in the publication "Intrinsic negative magnetoresistance from the chiral anomaly of multifold fermions" by F.Balduini et al</p>

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

Data for publication: Unlocking the out-of-plane dimension for photonic bound states in the continuum to achieve maximum optical chirality

Open the record for dataset details and reuse information.

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

Dataset for Enantioselective molecular Detection by Surface-Enhanced Raman Scattering at Chiral Gold Helicoids on Grating Surface

<p>This is a dataset for a paper "Enantioselective molecular Detection by Surface-Enhanced Raman Scattering at Chiral Gold Helicoids on Grating Surface". All details about the data are included in the readme file.</p>

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

Dynamically chiral phosphonic acid-type metallo-β-lactamase inhibitors

<p>NMR raw data files (FID), X-ray data, computational structural files</p>

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

Data set for "Chiral Magnonic Crystals: Unconventional Spin-Wave Phenomena Induced by a Periodic Dzyaloshinskii-Moriya Interaction"

<p>Scripts for the micromagnetic simulations of the publication &quot;Chiral Magnonic Crystals: Unconventional Spin-Wave Phenomena Induced by a Periodic Dzyaloshinskii-Moriya Interaction&quot;, using the OOMMF software. These codes reproduce the result of magnonic waveguides with periodic Dzyaloshinskii-Moriya interactions. A Dockerfile and a Makefile are included for the reproducibility of the results.</p> <p>The repository containing these results, together with a explanatory README document can be found in:</p> <p>https://github.com/davidcortesortuno/paper-2018-chiral_magnonic_crystals</p> <p>&nbsp;</p> <p>The files included in this Zenodo release refer to the v1.0 version of the data set. For an updated version of the scripts refer to the Github repository.</p>

opencc-by-4.0May 2018View details →
zenodo36/100

Chirally Coupled Nanomagnets

<p>Open access data set for manuscript &quot;Chirally Coupled Nanomagnets<br> Zhaochu Luo1,2*, Trong Phuong Dao1,3, Ale&scaron; Hrabec1,2,3, Jaianth Vijayakumar2, Armin Kleibert2, Manuel Baumgartner3, Eugenie Kirk1,2, Jizhai Cui1,2, Tatiana Savchenko2, Gunasheel Krishnaswamy3, Laura Heyderman1,2*, Pietro Gambardella3*.&quot;</p>

opencc-by-4.0Dec 2017View details →
zenodo36/100

Dataset: Non-Uniform Chiralization of Metal-Organic Frameworks Using Imine Chemistry

Open the record for dataset details and reuse information.

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

Transport chirality generated by a tunable tilt of Weyl nodes in a van der Waals topological magnet

<p>The source ASCII data files for the article entitled "Transport chirality generated by a tunable tilt of Weyl<br>nodes in a van der Waals topological magnet".</p>

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

Fatty Acids Reverse the Supramolecular Chirality of Insulin Fibrils

<h4>The data from the paper Fatty Acids Reverse the Supramolecular Chirality of Insulin Fibrils</h4> <div>Aidan P. Holman, Kimberly Quinn, Rakesh Kumar, Sebastian Kmiecik, Abid Ali, and Dmitry Kurouski</div> <div>The Journal of Physical Chemistry Letters&nbsp;<strong>2023</strong>&nbsp;<em>14</em>&nbsp;(30), 6935-6939</div> <p>DOI: 10.1021/acs.jpclett.3c01527</p>

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

Reports and Dataset of SUPRAMOLECULAR POLYMERS AS MOULDS FOR THE SYNTHESIS OF CHIRAL PLASMONIC NANOPARTICLES

<p>This dataset contains some research data on supramolecular polymers as templates for the synthesis of chiral plasmonic nanoparticles. Project PID2020-117885GA-I00, especifically the more related to the use of cysteine and cystine.&nbsp;</p>

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

Catechol[4]arene: The Missing Chiral Member of the Calix[4]arene Family

<p>Data underlying the figures in the publication &ldquo;Catechol[4]arene: The Missing Chiral Member of the Calix[4]arene Family&rdquo;, published in <em>Org. </em><em>Lett.</em> <strong>2020</strong>, 22, 14, 5506&ndash;5510. <a href="https://pubs.acs.org/doi/10.1021/acs.orglett.0c01864">https://pubs.acs.org/doi/10.1021/acs.orglett.0c01864</a></p> <p>Table of contents:</p> <p><strong>1. Scheme1NMRDataCompounds.mnova</strong>; Processed NMR data of all new and key compounds depicted in <em>Scheme 1</em>.</p> <p><strong>2. Scheme1GeneralProcedures.txt</strong>; Synthetic procedures of all new and key compounds depicted in <em>Scheme 1</em>.</p> <p><strong>3. Figure2XRayStructure.cif</strong>; X-ray crystal structure of (&plusmn;)-1 depicted in <em>Figure 2</em>. (requires a program such as Mercury to open)</p> <p><strong>4. Figure2GeneralProcedure.txt</strong>; Crystal data and experimental for X-ray crystal structure depicted in <em>Figure 2</em>.</p> <p><strong>5. Figure3CDSpectroscopyData.xlsx</strong>; Experimental and computational data used to generate graphs in <em>Figure 3</em>.</p> <p><strong>6. Figure3Calculations.txt</strong>; Calculations used to generate graphs in <em>Figure 3</em>.</p> <p><strong>7. Figure4NMRDataTitrations.mnova</strong>; Processed NMR spectra used to generate graphs in <em>Figure 4</em>.</p> <p><strong>8. Figure4GeneralProcedures.txt</strong>; General procedures for NMR titrations performed to generate data for <em>Figure 4</em>.</p> <p><strong>9. Figure4bTitrationData.xlsx</strong>; Excel sheet containing the compiled data and generate the graphs of the titration experiment depicted in <em>Figure 4b</em>.</p> <p><strong>10. Figure4cTitrationData.xlsx</strong>; Excel sheet containing the compiled data and generate the graphs of the titration experiment depicted in <em>Figure 4c</em>.</p> <p><strong>11. Figure5NMRDataCompounds.mnova</strong>; Processed NMR data on the compounds used as guests in <em>Figure 5</em>.</p> <p><strong>12. Figure5NMRDataTitrations.mnova</strong>; Processed NMR data on the host-guest titrations in <em>Figure 5</em>.</p> <p><strong>13. Figure5GeneralProcedures.txt</strong>; General procedures for the experiments depicted in <em>Figure 5</em>.</p> <p><strong>14. Figure6NMRData.mnova</strong>; Processed NMR data used to generate <em>Figure 6</em>.</p> <p><strong>15. Figure7NMRDataCompounds.mnova</strong>; Processed NMR data on the compounds used as guests in <em>Figure 7</em>.</p> <p><strong>16. Figure7NMRDataTitrations.mnova</strong>; Processed NMR data on the host-guest titrations in <em>Figure 7</em>.</p> <p><strong>17. Figure5GeneralProcedures.txt</strong>; General procedures for the experiments depicted in <em>Figure 7</em>.</p>

opencc-by-4.0Jul 2021View details →
zenodo36/100

Towards highly accurate calculations of parity violation in chiral molecules: relativistic coupled-cluster method including QED-effects

<p>This dataset collects the unprocessed (= outputs from calculations) &nbsp;results discussed in the paper titled &quot;Towards highly accurate calculations of parity violation in chiral molecules: relativistic coupled-cluster method including QED-effects&quot;, by Ayaki Sunaga and Trond Saue.</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Universal chiral Luttinger liquid behavior in a graphene fractional quantum Hall point contact

<p>Raw source data for manuscript</p> <p>Data analysis code for processing raw data</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Chiral Active Rods Simulation Data II

<p>Simulation data of agent-based simulations of active point particles following the following overdamped Langevin dynamics:</p> <p>d/dt x_i= v* cos(phi_i)</p> <p>d/dt y_i= v* sin(phi_i)</p> <p>d/dt phi_i= omega + gamma*\sum_{j is neighbor of i} sin[2*(phi_j-phi_i)] + sigma*xi_i</p> <p>with independent Gaussian white noise xi_i.</p> <p>i and j are considered to be neighbors if their distance is less than R. Parameters: sigma=sqrt(2), R=1, v=1, simulation box size: Lx=Ly=sqrt(N/10), N, gamma, omega are given in the data base. Periodic boundary conditions are used.</p> <p>Euler-Maruyama scheme was used to integrate the equations of motion.</p>

opencc-by-4.0Feb 2023View details →

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International Brain Laboratory public data

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