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235 results for “Lattices”

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zenodo36/100

Data set for the article "Formation of Néel-type skyrmions in an antidot lattice with perpendicular magnetic anisotropy" DOI: 10.1103/PhysRevB.100.144435

<p>This dataset provides experimental data and&nbsp;linear fit reported in the Fig2b of the article&nbsp;</p>

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

Experimental evidence for the incorporation of two metals at equivalent lattice positions in mixed metal organic frameworks. Dataset related to publication. Version: 1

<p>Experimental evidence for the incorporation of two metals at equivalent lattice positions in mixed metal organic frameworks. Dataset related to publication. Version: 1</p>

opencc-by-4.0Dec 2019View details →
zenodo36/100

Sub-picosecond thermalization dynamics in condensation of strongly coupled lattice plasmons

<p>Raw data used in&nbsp;manuscript Figures 1-7 of the publication.</p> <p>The data are in the form of&nbsp;.csv as read&nbsp;from a spectrometer.&nbsp;</p>

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

Evolution of field-induced metastable phases in the Shastry-Sutherland lattice magnet TmB4

<p>Open data for &quot;Evolution of field-induced metastable phases in the Shastry-Sutherland lattice magnet TmB4 &quot;, Phys. Rev. B, 120, 060407, 2020 (R)</p>

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

Dataset and simulation files for article: "Designing of strongly confined short-wave Brillouin phonons in silicon waveguide periodic lattices"

<p>Dataset and simulation files for article: &quot;Designing of strongly confined short-wave Brillouin phonons in silicon waveguide periodic lattices&quot;</p>

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

Micromechanics of Void Nucleation and Early Growth at Incoherent Precipitates: Lattice-trapped and Dislocation-mediated Delamination Modes

<p>This repository contains raw data analyzed in the referenced manuscript published in Crystals (<a href="https://doi.org/10.3390/cryst11010045">10.3390/cryst11010045</a>). See the included README file for detailed information on the contents.</p>

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

Coupling Lattice Instabilities Across the Interface in Ultrathin Oxide Heterostructures

<p>Dataset corresponding to the publication &#39;Coupling Lattice Instabilities Across the Interface in Ultrathin Oxide Heterostructures&#39; (ACS Materials Letters, 2020, 2, 4, 389-394), available open access at&nbsp;<a href="https://doi.org/10.1021/acsmaterialslett.9b00540">https://doi.org/10.1021/acsmaterialslett.9b00540</a></p>

opencc-by-4.0Dec 2019View details →
zenodo36/100

Data for the article "Skyrmion Lattice Phases in Thin Film Multilayer"

<p>Data for the article &quot;Skyrmion Lattice Phases in Thin Film Multilayer&quot; (<a href="https://arxiv.org/abs/2004.09244">[2004.09244] Skyrmion Lattice Phases in Thin Film Multilayer (arxiv.org)</a>)</p>

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

Experimental data for "Localization of lattice dynamics in low-angle twisted bilayer graphene"

<p>This repository contains the experimental data related to the article &quot;Localization of lattice dynamics in low-angle twisted bilayer graphene&quot; and is provided to the reader under the &ldquo;data availability&rdquo; directive. the files have been organized on a per-figure basis.</p>

opencc-by-4.0Jan 2021View details →
dryad36/100

Data from: Flightin maintains myofilament lattice organization required for optimal flight power and courtship song quality in Drosophila

The indirect flight muscles (IFMs) of Drosophila and other insects with asynchronous flight muscles are characterized by a crystalline myofilament lattice structure. The high-order lattice regularity is considered an adaptation for enhanced power output, but supporting evidence for this claim is lacking. We show that IFMs from transgenic flies expressing flightin with a deletion of its poorly conserved N-terminal domain (flnΔN62) have reduced inter-thick filament spacing and a less regular lattice. This resulted in a decrease in flight ability by 33% and in skinned fibre oscillatory power output by 57%, but had no effect on wingbeat frequency or frequency of maximum power output, suggesting that the underlying actomyosin kinetics is not affected and that the flight impairment arises from deficits in force transmission. Moreover, we show that flnΔN62 males produced an abnormal courtship song characterized by a higher sine song frequency and a pulse song with longer pulses and longer inter-pulse intervals (IPIs), the latter implicated in male reproductive success. When presented with a choice, wild-type females chose control males over mutant males in 92% of the competition events. These results demonstrate that flightin N-terminal domain is required for optimal myofilament lattice regularity and IFM activity, enabling powered flight and courtship song production. As the courtship song is subject to female choice, we propose that the low amino acid sequence conservation of the N-terminal domain reflects its role in fine-tuning species-specific courtship songs.

opencc-zeroDec 2016View details →
zenodo36/100

Semisynthetic Multi-Lattice Diffraction Data

<p><strong>Semisynthetic Multi-Lattice Diffraction Data</strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;</p> <p>Richard Gildea, Graeme Winter*, Diamond Light Source</p> <p>*graeme.winter@diamond.ac.uk</p> <p>DOI: 10.5281/zenodo.10820</p> <p>These data are published in support of &quot;New methods for indexing multi-lattice diffraction data&quot; manuscript submitted to Acta Crystallographica section D, authors:&nbsp;&nbsp;&nbsp; &nbsp;</p> <p>Richard J. Gildea (1), David G. Waterman (2, 3), James M. Parkhurst (1), Danny Axford (1), Geoff Sutton (4), David I. Stuart (1,4), Nicholas K. Sauter (5), Gwyndaf Evans (1) and Graeme Winter (1)</p> <p>(1) Diamond Light Source (2) STFC Rutherford Appleton Laboratory (3) Research Complex at Harwell (4) Division of Structural Biology, Wellcome Trust Centre for Human Genetics (5) Lawrence Berkeley National Laboratory</p> <p>for the community of methods developers and interested persons to test other algorithms.</p> <p>This work is licensed by Diamond Light Source Ltd under the Creative Commons Attribution 4.0 International Licence (CC-BY):&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;</p> <p>https://creativecommons.org/licenses/by/4.0/</p> <p><strong>Creation of the Data</strong><br /> Bovine pancreatic trypsin crystals were prepared following standard methods (thanks to Carina Lobley @ Diamond Light Source for these) and small wedges of data were taken on beamline I04 at Diamond Light Source during in-house time (thanks to David Hall @ Diamond Light Source for this).&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;</p> <p>Each original data set a - l was collected with arbirtary kappa angles, a total of 10 degrees of rotation with 0.1 degree increments. These data were then summed pixel-wise as follows:</p> <p>To make two-lattice set ag, the counts on every pixel i, j on every image k were added from sweep a and sweep g to get the pixel count for semisynthetic sweep ag. Thus the sweeps a - l were combined to give 12 x 1 lattice, 6 x 2 lattice, 4 x 3 lattice, 3 x 4 lattice and 2 x 6 lattice example sets, which may be found as follows:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;</p> <p>1:<br /> a&nbsp; b&nbsp; c&nbsp; d&nbsp; e&nbsp; f&nbsp; g&nbsp; h&nbsp; i&nbsp; j&nbsp; k&nbsp; l</p> <p>2:<br /> ag&nbsp; bh&nbsp; ci&nbsp; dj&nbsp; ek&nbsp; fl</p> <p>3:<br /> aei&nbsp; bfj&nbsp; cgk&nbsp; dhl</p> <p>4:<br /> adgj&nbsp; behk&nbsp; cfil</p> <p>6:<br /> acegik&nbsp; bdfhjl</p> <p>Clearly, as the pixels are added more peaks will appear but the background will also increase. The structure of these data allows the original images to be processed as a reference for the initial data quality and the combinations to be processed to assess the effect on the quality of superimposing the data.</p> <p><strong>Methods</strong></p> <p>The data were added as follows:</p> <ul> <li>each image was read, the pixel data to a flex array and the header to a string</li> <li>the pixel data in the flex arrays added to make the n-lattice image</li> <li>this array re-compressed using the CBF byte-offset compression, added to the existing header string and written to disk</li> <li>this procedure was followed for all images in a sweep</li> </ul> <p>Python code for these procedures is available on request from the authors.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2014View details →
zenodo36/100

A series of pathological macromolecular crystallography datasets with twinning and other lattice disorders

<p>These 11 datasets were collected at the Diamond Light Source and belong to the same protein, NAL (N-acetyl neuraminic acid lyase), which crystallised in 4 different crystal forms from the same crystallisation conditions&nbsp;producing&nbsp;crystals with&nbsp;the same morphology. The file names, where applicable (10/11 cases), contain the corresponding PDB deposition code.</p>

opencc-zeroJun 2016View details →
zenodo36/100

Raw data to "Quantum phases of hardcore Bosons with repulsive dipolar density-density interactions on two-dimensional lattices"

<p>This directory contains all the unit cells with the respective resummed interactions used for the optimisation procedure to obtain the results in the work "Quantum phases of hardcore Bosons with repulsive dipolar density-density interactions on two-dimensional lattices". It also contains the results of the optimisation procedure described in "Quantum phases of hardcore Bosons with repulsive dipolar density-density interactions on two-dimensional lattices" which are used to draw the phase diagrams in the corresponding publication.</p><p>To get an overview of the organization of the directory and a description of the data we recommend the README file.</p><p>The preprint of the corresponding publication will be published in the next few days.</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Dataset package for the manuscript "A microscopic Kondo lattice model for the heavy fermion antiferromagnet CeIn3"

<p><strong>Figure 2:</strong> Derivation of the Kondo-Heisenberg model.</p><p><strong>Description:</strong></p><p>The electronic structure of CeIn3 on the reciprocal-space path RGXMG (G=Gamma) is stored in "fbands.dat" and in "allotherbands.dat". The file "fbands.dat" has 15 columns, where the first column provides the wave-vector projection onto the path RGXMG and columns 2-15 the energies of the 14 <i>f</i>-bands. In the file "allotherbands.dat" the first column corresponds to the wave-vector values and the other columns contain all remaining bands.</p><p>The wave-vector dependent interactions are stored in "InteractionSpectrum.dat". Here, the first column provides the wave-vector projection onto the path RGXMG, the second column the RKKY-interaction, the third column the superexchange, the fourth column the particle-particle interaction and the last column the sum of all interactions.</p><p>&nbsp;</p><p><strong>Figure 3:</strong> Calculated and measured magnon dispersion and dynamic magnetic susceptibility in the antiferromagnetic state of CeIn3.</p><p><strong>Description:</strong></p><p>The imaginary part of the dynamic magnetic susceptibility, as inferred from high-energy inelastic neutron scattering intensity, on the reciprocal space-path RG is stored in the file "HighEnergy_Int_RG.dat" in terms of a 59 x 68 matrix. Here, the first index enumerates the wavevector-projection onto the path RG and the second index the energy transfer. The respective wave-vector and energy values are stored in "HighEnergy_Q_RG.dat" and "HighEnergy_E_RG.dat", respectively. Similarly, inelastic neutron scattering intensity, wave-vector values, and energy-transfer values for the paths GX, XM, and MG are stored in the files "HighEnergy_Int_GX.dat", "HighEnergy_Q_GX.dat", "HighEnergy_E_GX.dat", "HighEnergy_Int_XM.dat", "HighEnergy_Q_XM.dat", "HighEnergy_E_XM.dat", "HighEnergy_Int_MG.dat", "HighEnergy_Q_MG.dat", and "HighEnergy_E_MG.dat".</p><p>The imaginary part of the dynamic magnetic susceptibility on the path RGXMG, as inferred from theory, is stored in the files "Theory_Q_RGXMG.dat", "Theory_E_RGXMG.dat", and "Theory_Int_RGXMG.dat", where the first, second, and third file provide the wave-vector projections, the energy transfers, and the values of the dynamic magnetic susceptibility, respectively.</p><p>The dispersion on the path RGXMG inferred from MOPAM calculations is stored in "MOPAM-Dispersion_RGXMG.dat" and the dispersion of the J1-model in "J1Model-Dispersion_RGXMG.dat". In both files, the first column corresponds to the wave-vector projection onto the path RGXMG and the second column to the energy.</p><p>Cuts at the constant wave-vectors Q1 and Q2, as inferred from experiments, are stored in "Experiment_ConstQ1.dat" and "Experiment_ConstQ2.dat", respectively. The cuts from theory are stored in "Theory_ConstQ1.dat" and "Theory_ConstQ2.dat".</p><p>The integral over the dynamic magnetic susceptibility on the path RGXMG inferred from theory is stored in "Theory_IntegralOverchi.dat", where the first and second columns provide the wave-vector projection and the integrated values, respectively. The values inferred from experiment are stored in "Experiment_IntegralOverchi.dat". The first and second columns provide the wave-vector projection and the integrated values, respectively. The last column provides the error bars.</p><p>&nbsp;</p><p><strong>Figure 4:&nbsp;</strong>Signature of long-range RKKY interactions in CeIn3,</p><p><strong>Description:</strong></p><p>High-resolution inelastic neutron scattering data on the path RG are presented in "HighResolution_Int_RG.dat". The first and second index enumerates the wave-vector projection onto the path RG and energy transfer, respectively. The respective values are stored in "HighResolution_Q_RG.dat" and "HighResolution_E_RG.dat".</p><p>Similarly, data for the paths RX and RM are stored in the files "HighResolution_Int_RX.dat", "HighResolution_Q_RX.dat", "HighResolution_E_RX.dat", "HighResolution_Int_RM.dat", "HighResolution_Q_RM.dat", and "HighResolution_E_RM.dat".</p><p>The dispersion inferred from MOPAM calculations on the paths RG, RX, and RM, is stored in "MOPAM-Dispersion_RG.dat", "MOPAM-Dispersion_RX.dat", and "MOPAM-Dispersion_RM.dat", respectively. Similarly, the dispersions of the J1 model on the paths RG, RX, and RM, are stored in "J1Model-Dispersion_RG.dat", "J1Model-Dispersion_RX.dat", and "J1Model-Dispersion_RM.dat", respectively.</p><p>Cuts at constant energies 0.6 meV and 1.4 meV along RG are stored in "HighResolution_RG_ConstEcut_0p6meV.dat" and "HighResolution_RG_ConstEcut_1p4meV.dat", respectively. Similarly, cuts along RX are stored in "HighResolution_RX_ConstEcut_0p6meV.dat" "and HighResolution_RX_ConstEcut_1p4meV.dat" and along RM in "HighResolution_RM_ConstEcut_0p4meV.dat" "and HighResolution_RM_ConstEcut_1p4meV.dat".</p><p>&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Quantum hard disks on a lattice

<p>Data used in the figures of the paper to appear under the title "Quantum hard disks on a lattice". All the data is written in csv files.</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Atomic coordinates for "Optimizing Surface Active Sites via Burying Single Atom in Subsurface Lattice for Boosted Alkaline Methanol Oxidation"

<p>Atomic coordinates of the optimized computational models in the manuscript of "Optimizing Surface Active Sites via Burying Single Atom in Subsurface Lattice for Boosted Alkaline Methanol Oxidation"</p>

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

Zeiss Lattice Light Sheet 7 Point Spread Functions and example dataset

<p>This repository contains some point spread functions (PSFs) distilled from imaging fluorescent beads, 200nm, <a href="https://www.thermofisher.com/order/catalog/product/F8811?SID=srch-srp-F8811" target="_blank" rel="noopener noreferrer">F8811</a> in an agarose gel, on a Zeiss Lattice Light sheet 7 microscope. The bead images from which the PSF were distilled are contained in this repo.</p> <p>Several images were acquired with varying settings of the light sheet (light sheet was always set as the 30 um x1000 nm).</p> <p>These three parameters were varied:</p> <p>FS: focus sheet (-100, -75, -25, 0)</p> <p>FW: focus waist (40, 45, 50, 55, 60, 65, 70, 75, 80, 85)</p> <p>AC: aberration control (150, 155, 160, 165, 170, 175, 180, 185, 190)</p> <p>The file psf-200nm correspond to the best settings taken between the different settings. The two other files (psf-300nm, psf-400nm) correspond to resampled versions of the psf-200nm file.</p> <p>The all-psfs.tif contains the deskewed psf ordered similarly as the poster uploaded in this version of the repository (ELMI-2024-poster.pdf).</p> <p>A sample czi file (Hela Kyoto, raw data) is provided to test deconvolution algorithms.</p> <p>Note that none of these data is deskewed.</p> <p>--------------------</p> <p>Here's a protocol to prepare a gel containing beads at a good enough density:</p> <ul> <li> <p>Material:</p> <ul> <li>Agarose 2%</li> <li>Fluorescent beads, 200nm, <a href="https://www.thermofisher.com/order/catalog/product/F8811?SID=srch-srp-F8811">F8811</a>. Stock is 1000x</li> </ul> </li> <li> <p>Protocol:</p> <ul> <li>Put the agarose to warm up at 90C.</li> <li>Vortex the beads stock.</li> <li>Dilute a 100 times the bead dilution in PBS (10 uL in 1mL), vortex.</li> <li>Prepare a clean slide, and a clean coverglass (22x22mm).</li> <li>Take 90uL of agarose, put in a 1.5mL tube, add 10uL of the diluted beads, vortex.</li> <li>Take 50uL of this agarose solution, put it on the slide, add the coverglass on top.</li> <li>Put this slide in the fridge and wait a few minutes.</li> <li>Use nailpolish to seal the coverglass. Wait long enoughfor the nailpolish to dry.</li> </ul> </li> </ul> <p>You should a gel of about 100um thickness.</p> <p>It should be possible to add a bit of free dye in the gel in order to help focusing the light sheet. Ideally a bit of far-red free dye, like Alexa 647.</p>

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

Seismic Anisotropy in the Lower Mantle Transition Zone Induced by Lattice Preferred Orientation of Akimotoite-Dataset

<p>The dataset includes the lattice preferred orientation data of akimotoite aggregates obtained through EBSD and transmitted two-dimensional (2D) X-ray diffraction method at BL04B1 of synchrotron facility of SPring-8, Hyogo, Japan. The employed conditions of 2D X-ray diffraction measurements are also available.</p>

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

Data of " Micromechanical characterization of the material response in a PA12-SLS fabricated lattice structure and its correlation with bulk behavior"

<pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = &quot;Micromechanical characterization of the material response in a PA12-SLS fabricated lattice structure and its correlation with bulk behavior&quot;, journal = &quot;Polymer Testing&quot;, pages = &quot; &quot;, year = &quot;2022&quot;, issn = &quot;####&quot;, doi = &quot;<a href="https://doi.org/10.1016/j.polymertesting.2022.107556">https://doi.org/10.1016/j.polymertesting.2022.107556</a>&quot;, author = &quot;L. Cobian, M. Rueda-Ruiz, J.P. Fernandez-Blazquez, V. Martinez, F. Galvez, F. Karayagiz, T. L&uuml;ck, J. Segurado, M.A. Monclus&quot;</pre> <p>This project has received funding from the European Union&rsquo;s Horizon 2020 research and innovation programme under grant agreement No 862015</p>

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

Accurate lattice parameters from 3D electron diffraction data I: Optical distortions

<p>3D ED data were measured with an FEI Tecnai G2 20 transmission electron microscope equipped with an Olympus SIS Veleta camera (CCD, 14 bit, 2048 x 2048 px) and a NanoMEGAS Digistar precession unit.</p> <p>Supporting information for article submitted to a scientific journal. Examples 1 and 2 including manuals and command files for optical distortions refinement in 3D ED data using PETS2 software.</p> <p>Manuals for the examples are available as the supporting information of the submitted article.</p>

opencc-by-4.0Apr 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record