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1,491 results for “Ione”
Data set for "Parametric Study of the Harmonic Structure of Lower Hybrid Waves Driven by Energetic Ions"
<p>After unzipping the zip file, you can produce the figures shown in our paper except Figure 9 by executing the Gnuplot scripts.</p>
Data for: Alfvén Pulse-Driven Spicule-like jets in the presence of thermal conduction and ion-neutral collision in a two-fluid regime
<p>The uploaded folder consists of the numerical simulation data and analyses routines of two-fluid JOANNA code that studied the Alfvén pulse-driven spicule-like jets in the presence of thermal conduction and Ion-neutral collision. The code produced the data in .xmf and .h5 formats, which are available for the analysis in the Data folder. The slices folder within Data consists of grid information in X- and -Y, as well as time. Apart from that, these slices consist of the temporal variations of various physical variables, e.g., pressure, density, velocity for ions and neutrals, magnetic field, etc. These slices are utilized in making the distance-time maps as presented in Figs 4-5 in the paper. Each physical variable is finally converted from code units to physical units (S.I or C.G.S. as required) and presented in the paper. The data and its analysis tree are self-descriptive, and each folder contains the instruction files in this context.</p>
Dataset for the manuscript: Nonlinear Coupling of Kinetic Alfven Waves and Ion Acoustic waves in the Inner Heliosphere
<ol> <li>The file ef00 is the magnetic field profile data written for every t=0.5 starting from 0 to 200 with 128 by 128 grid point in space. It is used to produce Figure 1 of the paper plotted by using matlab m file filaments.m.</li> <li>The file dx00 is the density data taken at x=0 at different z. Figure 2 of the paper is plotted by matlab file density.m</li> <li>The data file esz0 is uesd in wavenumber.m to plot figure 3 of the paper</li> <li>The data file ekx0 is used to plot figure 4 in fullspectra.m </li> <li>The data file ekz0 is used to plot figure 5 in matlab m file bkspectkx.m</li> <li>The file eekz0 is used to plot figure 6 in the matlab m file spectrakx.m</li> <li>The matlab code heat.m is used to plot figure 7 of the paper</li> </ol>
Transport and distribution of sodium ions in Mercury's magnetosphere: results from multi-fluid MHD simulations
<p>This dataset contains VTK files of the four simulations that are presented in the paper<em> </em><a href="https://essopenarchive.org/doi/full/10.22541/essoar.171629607.76912814/v1">Transport and distribution of sodium ions in Mercury’s magnetosphere: results from multi-fluid MHD simulations</a> .</p> <p>The physical parameters for each of the simulations are summarized below:</p> <div> <div>Sim-1: IMF = [0,0,-8.5] nT, V_sw = [-400,0,0] km/s</div> <div>Sim-2: IMF = [0,0,-8.5] nT, V_sw = [-400,0,0] km/s</div> <div>Sim-3: IMF = [0,0,-8.5] nT, V_sw = [-400,0,0] km/s</div> <div>Sim-4: IMF = [-15.2,8.4,-8.5] nT, V_sw = [-400,50,0] km/s</div> <div> <div> </div> <div>The Hall term is switched off in sim-2, but switched on in the rest of the simulations. The sodium source is used in all the simulations except for sim-3. In all the simulations, the solar wind density is 40 amu/cc with a temperature of 7.5 eV. We refer the readers to the aforementioned paper for more details.</div> </div> </div> <p>These VTK files can be opened with Paraview.</p>
Ion Test Particle Simulations: Steady Southward IMF
<p>Ion test particle simulations for the Frontiers article "Overlapping Cusp Ion Dispersions formed by Flux Ropes on the Day-side Magnetopause." Output cadence is 5 seconds. Output variables are particle [x,y,z] location, energy, logical isIn (whether the particle is within the simulation domain), and pitch angle. Only those particles which hit the inner boundary were saved. File format is Matlab .mat file. A script is included to generate synthetic satellite observations in the northern cusp. The global MHD simulation in which the test particles were integrated is archived at https://zenodo.org/records/7675548 (simulation 2).</p>
Dataset: Data augmentation experiments with style-based quantum generative adversarial networks on trapped-ion and superconducting-qubit technologies
<p>Dataset for the following paper: <a href="https://arxiv.org/abs/2405.04401">"Data augmentation experiments with style-based quantum generative adversarial networks on trapped-ion and superconducting-qubit technologies", Julien Baglio, arXiv:2405.04401</a></p> <p>It contains:</p> <ul> <li>one folder named "data_for_all_plots" containing the raw data for the s, t, and y distributions for all the figures of the paper as well as a Jupyter notebook to generate the figures.</li> <li>one file named "variance_calculations_qGAN.txt" containing the data to calculate the errors for the KL divergences.</li> </ul>
Ion and Molecular Sieving With Ultrathin Polydopamine Nanomembranes
<p>Raw and processed data for Publication "Ion and Molecular Sieving With Ultrathin Polydopamine Nanomembranes" in Advanced Materials.</p> <p>The data is sorted according to the Figures that the data appears in. </p>
Influence of oxygen distribution on the Li-ion conductivity in oxy-sulfide glasses - taking a closer look.
<p>All Data conneted to the publication: "Influence of oxygen distribution on the Li-ion conductivity in oxy-sulfide glasses - taking a closer look."</p>
Data for "Evaluating Metal-Organic Precursors for Focused Ion Beam Induced Deposition through Solid-Layer Decomposition Analysis"
<p>Experimental Data for "Evaluating Metal-Organic Precursors for Focused Ion Beam Induced Deposition through Solid-Layer Decomposition Analysis"</p> <p> </p> <p> </p> <p>The collected experimental data for tested four different metal-organic precursor layers:</p> <p> </p> <p>1 - [Cu<sub>2</sub>(μ-O<sub>2</sub>C<sup>t</sup>Bu)<sub>4]n</sub></p> <p>2 - [Cu<sub>2</sub>(NH<sub>2</sub>(NH=)CC<sub>2</sub>F<sub>5</sub>)<sub>2</sub>(µ-O<sub>2</sub>CC<sub>2</sub>F<sub>5</sub>)<sub>4</sub>]</p> <p>3 - [Cu<sub>2</sub>(µ-O<sub>2</sub>CC<sub>2</sub>F<sub>5</sub>)<sub>4</sub>]</p> <p>4 - [Ag<sub>2</sub>(μ-O<sub>2</sub>CC<sub>2</sub>F<sub>5</sub>)<sub>2</sub>]</p> <p> </p> <p>BSE.zip - includes SEM BSE images of the precursor layers</p> <p>EDX.zip - inludes SEM EDX results of the precursor layers together with exemplary python jupyter notebook to analyze EDX hyperspectral data</p>
Navigating the Maze of Mass Spectra: A Machine-Learning Guide to Identifying Diagnostic Ions in O-Glycan Analysis
<p>FragmentFactory_dataset is a pickled pandas DataFrame and should be loaded using the following code:</p> <pre><code>import pandas as pd FF_data = pd.read_pickle('/my_directory/FragmentFactory_dataset.pkl')</code></pre> <p> </p>
Supplementary material for "Hybrid-Vlasov modelling of ion velocity distribution functions associated with the Kelvin-Helmholtz instability with a density and temperature asymmetry"
<p>Supplementary material for the article:</p> <p>"Hybrid-Vlasov modelling of ion velocity distribution functions associated with a density and temperature asymmetry" by</p> <p><strong>V. Tarvus</strong>, L. Turc, H. Zhou, T. Nakamura, A. Settino, K.Blasl, G. Cozzani, U. Ganse, Y. Pfau-Kempf, M. Alho, M. Battarbee, M. Bussov, M. Dubart, E. Gordeev, F. Tesema Kebede, K. Papadakis, J. Suni, I. Zaitsev and M. Palmroth</p> <p> </p> <p><strong>Supplementary video A</strong>:</p> <p>The development of the Kelvin-Helmholtz instability (KHI) in a purely transverse geometry (velocity shear perpendicular to the magnetic field), simulated using the hybrid-Vlasov model Vlasiator. The parameters shown are: Proton temperature (panel a), the non-Maxwellianity of the proton velocity distribution function (panel b), proton heat flux (panel c) and vorticity (panel d). A black contour in each panel shows the region where the magnitude of the proton temperature gradient is larger than the maximum gradient at the beginning of the simulation. Arrows in panel d) show the velocity field. The evolution of KHI proceeds from the formation of linear surface waves (t<50 Ω<sub>c,p</sub><sup>-1</sup>, with proton gyroperiod Ω<sub>c,p</sub><sup>-1</sup>) to the waves rolling up into vortices (t>50 Ω<sub>c,p</sub><sup>-1</sup>). Due to the steepening of the velocity shear layer, whose thickness tends towards the thermal proton Larmor radius, finite Larmor radius effects become active at the vortex edges, manifesting as enhanced non-Maxwellianity (panel b) and a heat flux (panel c), which originates from the temperature gradient according to the mechanism described by Braginskii (1965). At the end of the simulation (t=90-100 Ω<sub>c,p</sub><sup>-1</sup>), non-Maxwellianity increases also in the vortex interior, as protons from the two initial regions are mixed together.</p> <p> </p> <p><strong>Supplementary video B</strong>:</p> <p>The same as Supplementary video A, but with an added in-plane magnetic field of the form (<em>B</em><sub>0,z</sub>/5) tanh(x/a) <strong>y</strong>,<strong> </strong>where <em>B</em><sub>0,z</sub> is the magnitude of the background magnetic field perpendicular to the velocity shear. Analogous behavior is found compared to the simulation without an in-plane magnetic field (Supplementary video A), with the exception of the suppression of secondary instabilities by the added magnetic tension. This leads to less irregularities in the vortex structure during the non-linear stage (t>~50 Ω<sub>p</sub><sup>-1</sup>).</p>
Dataset: Experimental Investigation of Power Available in Lithium-Ion Batteries
<p>Dataset for the paper Experimental Investigation of Power Available in Lithium-Ion Batteries. </p> <p>The paper is available (open access) at <a href="https://doi.org/10.1016/j.jpowsour.2024.235168">https://doi.org/10.1016/j.jpowsour.2024.235168</a> </p> <ul> <li>Battery: Melasta LCO 6.8Ah pouch cell</li> <li>Test: Dynamic load profile followed by a 30-second 10C rate pulse</li> <li>Experiment I: Tests @25°C, 05 fresh cells, 05 repetitions on each cell</li> <li>Experiment II: One-factor-at-time experiment, [50°C, 15°C, 20kPa, 60kPa, 100% SOC, 20% SOC]</li> </ul> <p> </p>
Data set for paper 'Impact of post-ion implantation annealing on Se-hyperdoped Ge'
<p><strong>Description of the files</strong></p> <p>Files are named by the same figure order appearing in the paper and supplementary material. File types contain:<br>- *.csv: Comma separated values. <br>- *.fibps: Raw data obtained with the 3D optical profilometer, which can be opened and analyzed by ProfilmOnline at https://www.profilmonline.com/. Figures shown in the paper were croped from the top-left corner with areas of about 60x60 µm2 from the raw data. Alternatively all 3D profilometer data shown in the paper can be obtained and analyzed in https://www.profilmonline.com/shared-folder?token=S32NP82HtLC3<br>- *.tif: Image generated from scanning electron microscope. </p> <p> </p> <p><strong>Original paper:</strong> https://doi.org/10.1063/5.0213637</p> <p><strong>Supplementary material:</strong> https://doi.org/10.60893/figshare.apl.c.7322108</p> <p> </p> <p><strong>When using the dataset, please cite the original paper: Xiaolong Liu, Patrick McKearney, Sören Schäfer, Behrad Radfar, Yonder Berencén, Ulrich Kentsch, Ville Vähänissi, Shengqiang Zhou, Stefan Kontermann, Hele Savin; Impact of post-ion implantation annealing on Se-hyperdoped Ge. Appl. Phys. Lett. 22 July 2024; 125 (4): 042102. https://doi.org/10.1063/5.0213637.</strong></p> <p> </p>
Plasma ion-line data from HAARP with varying integration times
<p>This data set contains movies of plasma ion-line signals from HAARP acquired using a UHF diagnostic radar.<br>The movies use differnt integration times for the same raw data set.</p>
Data from Selectivity filter mutations shift ion permeation mechanism in potassium channels
<p>Example mdp, gro files, topologies, scripts, run input files and trajectories used in https://doi.org/10.1101/2023.04.17.537168</p>
3D lithium-ion battery image for testing P3T-Net
<p>These are the dataset used for training and testing P3T-Net for 3D unpaired domain transfer in .tif format. Images can be directly opened with ImageJ, Avizo, Python, Matlab, etc.</p> <p>Target domain: nano-CT image of a dual-mode scan of Lithium-ion battery cathode (voxel size: 128nm); Source domain: a nano-CT images of a single-mode scan of lithium-ion battery cathode (voxel size: 128nm).</p>
Proton Cyclotron Waves and Pickup Ion Ring Distribution Instabilities Upstream of Mars
Open the record for dataset details and reuse information.
CHARMM36 POPS/POPC simulations (versions 1 and 2) 298 K 1.0 nm LJ switching with Na ions
<p>CHARMM36 mixed POPS and POPC bilayer simulations (298 K, starting structure from the CHARMM-GUI with 22 POPS and 110 POPC lipids) performed with a 1.0 nm point at which to switch off the van der Waals interactions. Two different simulations generated with different starting velocities are provided (the files are named v1 and v2 for these different simulations). The trajectories contain only the data from 400-500 ns of the simulations (as per the analysis provided on the nmrlipids blog) and additionally they have been processed with trjconv -skip 10 to keep the upload small. These simulations were performed with Na ions used to neutralise the system.</p>
CHARMM36 POPS/POPC simulations (versions 1 and 2) 298 K 1.0 nm LJ switching with K ions
<p>CHARMM36 mixed POPS and POPC bilayer simulations (298 K, starting structure from the CHARMM-GUI with 22 POPS and 110 POPC lipids) performed with a 1.0 nm point at which to switch off the van der Waals interactions. Two different simulations generated with different starting velocities are provided (the files are named v1 and v2 for these different simulations). The trajectories contain only the data from 400-500 ns of the simulations (as per the analysis provided on the nmrlipids blog) and additionally they have been processed with trjconv -skip 10 to keep the upload small. These simulations were performed with K ions used to neutralise the system.</p>
CHARMM36 POPS simulations (versions 1 and 2) 298 K 1.0 nm LJ switching with K ions
<p>CHARMM36 POPS simulations (298 K, starting structure from the CHARMM-GUI) performed with a 1.0 nm point at which to switch off the van der Waals interactions. Two different simulations generated with different starting velocities are provided (the files are named v1 and v2 for these different simulations). The trajectories contain only the data from 400-500 ns of the simulations (as per the analysis provided on the nmrlipids blog) and additionally they have been processed with trjconv -skip 10 to keep the upload small. These simulations were performed with K ions used to neutralise the system.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.